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array:23 [ "pii" => "S0210570523003321" "issn" => "02105705" "doi" => "10.1016/j.gastrohep.2023.05.002" "estado" => "S300" "fechaPublicacion" => "2024-02-01" "aid" => "2077" "copyright" => "Elsevier España, S.L.U.. All rights reserved" "copyrightAnyo" => "2023" "documento" => "article" "crossmark" => 1 "subdocumento" => "fla" "cita" => "Gastroenterol Hepatol. 2024;47:158-69" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "itemSiguiente" => array:18 [ "pii" => "S0210570523003473" "issn" => "02105705" "doi" => "10.1016/j.gastrohep.2023.06.001" "estado" => "S300" "fechaPublicacion" => "2024-02-01" "aid" => "2091" "copyright" => "Elsevier España, S.L.U." "documento" => "article" "crossmark" => 1 "subdocumento" => "fla" "cita" => "Gastroenterol Hepatol. 2024;47:170-8" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "en" => array:13 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original Article</span>" "titulo" => "Evaluation of the effectiveness and safety of single-operator cholangiopancreatoscopy with the SpyGlass™ system" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => array:2 [ 0 => "en" 1 => "es" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "170" "paginaFinal" => "178" ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Evaluación de la eficacia y seguridad de la colangiopancreatoscopia de un solo operador con el sistema SpyGlass®" ] ] "contieneResumen" => array:2 [ "en" => true "es" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0010" "etiqueta" => "Figure 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 2338 "Ancho" => 2500 "Tamanyo" => 320619 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">(A) A normal common bile duct visualized by cholangioscopy. (B) A choledocholithiasis that completely occupies the entire duct. (C and D) Indeterminate biliary strictures with tortuous vessels, ulcerated areas and irregular surfaces which are suggestive of a cholangiocarcinoma.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Coral Tejido, Manuel Puga, Cristina Regueiro, María Francisco, Laura Rivas, Eloy Sánchez" "autores" => array:6 [ 0 => array:2 [ "nombre" => "Coral" "apellidos" => "Tejido" ] 1 => array:2 [ "nombre" => "Manuel" "apellidos" => "Puga" ] 2 => array:2 [ "nombre" => "Cristina" "apellidos" => "Regueiro" ] 3 => array:2 [ "nombre" => "María" "apellidos" => "Francisco" ] 4 => array:2 [ "nombre" => "Laura" "apellidos" => "Rivas" ] 5 => array:2 [ "nombre" => "Eloy" "apellidos" => "Sánchez" ] ] ] ] ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0210570523003473?idApp=UINPBA00004N" "url" => "/02105705/0000004700000002/v3_202402160634/S0210570523003473/v3_202402160634/en/main.assets" ] "itemAnterior" => array:19 [ "pii" => "S0210570523000651" "issn" => "02105705" "doi" => "10.1016/j.gastrohep.2023.03.002" "estado" => "S300" "fechaPublicacion" => "2024-02-01" "aid" => "2063" "copyright" => "Elsevier España, S.L.U." "documento" => "article" "crossmark" => 1 "subdocumento" => "fla" "cita" => "Gastroenterol Hepatol. 2024;47:149-57" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "es" => array:13 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">ORIGINAL</span>" "titulo" => "La infección por <span class="elsevierStyleItalic">Helicobacter pylori</span> se asocia con disminución del riesgo de esofagitis eosinofílica en pacientes mexicanos" "tienePdf" => "es" "tieneTextoCompleto" => "es" "tieneResumen" => array:2 [ 0 => "es" 1 => "en" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "149" "paginaFinal" => "157" ] ] "titulosAlternativos" => array:1 [ "en" => array:1 [ "titulo" => "<span class="elsevierStyleItalic">Helicobacter pylori</span> infection is associated with decreased odds for eosinophilic esophagitis in Mexican patients" ] ] "contieneResumen" => array:2 [ "es" => true "en" => true ] "contieneTextoCompleto" => array:1 [ "es" => true ] "contienePdf" => array:1 [ "es" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0005" "etiqueta" => "Figura 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1838 "Ancho" => 2833 "Tamanyo" => 183313 ] ] "descripcion" => array:1 [ "es" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Distribución de la infección por <span class="elsevierStyleItalic">H. pylori</span> en el grupo total por intervalos de edad.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "José Carlos Cessa-Zanatta, Diego García-Compeán, Héctor Jesús Maldonado-Garza, Omar David Borjas-Almaguer, Alan Rafael Jiménez-Rodríguez, Ángel Noé del Cueto-Aguilera, José Alberto González-González" "autores" => array:7 [ 0 => array:2 [ "nombre" => "José Carlos" "apellidos" => "Cessa-Zanatta" ] 1 => array:2 [ "nombre" => "Diego" "apellidos" => "García-Compeán" ] 2 => array:2 [ "nombre" => "Héctor Jesús" "apellidos" => "Maldonado-Garza" ] 3 => array:2 [ "nombre" => "Omar David" "apellidos" => "Borjas-Almaguer" ] 4 => array:2 [ "nombre" => "Alan Rafael" "apellidos" => "Jiménez-Rodríguez" ] 5 => array:2 [ "nombre" => "Ángel Noé" "apellidos" => "del Cueto-Aguilera" ] 6 => array:2 [ "nombre" => "José Alberto" "apellidos" => "González-González" ] ] ] ] ] "idiomaDefecto" => "es" "Traduccion" => array:1 [ "en" => array:9 [ "pii" => "S2444382424000312" "doi" => "10.1016/j.gastre.2023.03.005" "estado" => "S300" "subdocumento" => "" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2444382424000312?idApp=UINPBA00004N" ] ] "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0210570523000651?idApp=UINPBA00004N" "url" => "/02105705/0000004700000002/v3_202402160634/S0210570523000651/v3_202402160634/es/main.assets" ] "en" => array:22 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original article</span>" "titulo" => "LPS-TLR4 pathway exaggerates alcoholic hepatitis via provoking NETs formation" "tieneTextoCompleto" => true "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "158" "paginaFinal" => "169" ] ] "autores" => array:1 [ 0 => array:4 [ "autoresLista" => "Yang Liu, Shuo Chen, Shuo Yu, Jiazhong Wang, Xin Zhang, Hao Lv, Harouna Aboubacar, Nan Gao, Xiaoli Ran, Yun Sun, Gang Cao" "autores" => array:11 [ 0 => array:4 [ "nombre" => "Yang" "apellidos" => "Liu" "email" => array:1 [ 0 => "liu-yang@xjtu.edu.cn" ] "referencia" => array:3 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "cor0005" ] 2 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">1</span>" "identificador" => "fn0005" ] ] ] 1 => array:3 [ "nombre" => "Shuo" "apellidos" => "Chen" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">1</span>" "identificador" => "fn0005" ] ] ] 2 => array:3 [ "nombre" => "Shuo" "apellidos" => "Yu" "referencia" => array:3 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">c</span>" "identificador" => "aff0015" ] 2 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">1</span>" "identificador" => "fn0005" ] ] ] 3 => array:3 [ "nombre" => "Jiazhong" "apellidos" => "Wang" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 4 => array:3 [ "nombre" => "Xin" "apellidos" => "Zhang" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] 5 => array:3 [ "nombre" => "Hao" "apellidos" => "Lv" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 6 => array:3 [ "nombre" => "Harouna" "apellidos" => "Aboubacar" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 7 => array:3 [ "nombre" => "Nan" "apellidos" => "Gao" "referencia" => array:3 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] 2 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">c</span>" "identificador" => "aff0015" ] ] ] 8 => array:3 [ "nombre" => "Xiaoli" "apellidos" => "Ran" "referencia" => array:3 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] 2 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">c</span>" "identificador" => "aff0015" ] ] ] 9 => array:3 [ "nombre" => "Yun" "apellidos" => "Sun" "referencia" => array:3 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] 2 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">c</span>" "identificador" => "aff0015" ] ] ] 10 => array:4 [ "nombre" => "Gang" "apellidos" => "Cao" "email" => array:1 [ 0 => "paul5381@sina.com" ] "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "cor0005" ] ] ] ] "afiliaciones" => array:3 [ 0 => array:3 [ "entidad" => "Department of General Surgery, Xi’an Jiaotong University Second Affiliated Hospital, Xi’an, China" "etiqueta" => "a" "identificador" => "aff0005" ] 1 => array:3 [ "entidad" => "Department of Infectious Diseases, Xi’an Jiaotong University Second Affiliated Hospital, Xi’an, China" "etiqueta" => "b" "identificador" => "aff0010" ] 2 => array:3 [ "entidad" => "Bioinspired Engineering and Biomechanics Center, Xi’an Jiaotong University Second Affiliated Hospital, Xi’an, China" "etiqueta" => "c" "identificador" => "aff0015" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "Corresponding authors." ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "La vía LPS-TLR4 exagera la hepatitis alcohólica al provocar la formación de NET" ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0010" "etiqueta" => "Figure 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 3406 "Ancho" => 2500 "Tamanyo" => 662552 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">AH model was successful established in mice and depletion of NETs decreased liver injury, liver inflammation, fat deposition, and liver fibrosis in mice AH model. AH model was built in both WT and NE KO mice. Mice were euthanized at end of model building and liver or serum samples were collected. Serum ALT concentration was revealed by the ELISA method (A). The liver fat deposition was detected by Oil red staining (200×) and TG concentration detection (B and C). Liver mRNAs of lipogenesis-related genes (ACC1, FASN) expression was detected by qPCR (D and E). Intrahepatic inflammation was revealed by TNFα, CCL2, Cxcl1 with the qPCR method (F–H). Mice were tested for fibrillar collagen by Sirius red staining (200×) and expression of a-SMA and collagen 1a1 was determined by immunohistochemistry (400×) (I and J). Liver levels of fibrosis-related genes (ACTA-2, TIMP-2, and Collagen-1) were determined by qPCR(J and K).</p>" ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><p id="par0005" class="elsevierStylePara elsevierViewall">Alcohol-related injuries are one of the most common causes of preventable illness in the world, leading to 3.3 million people's death each year and accounting for 6% of all deaths worldwide.<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">1</span></a> Alcohol abuse can insult many target organs and cause multiple system damage. Particularly the liver and gastrointestinal tract are primarily involved in alcohol metabolism, and alcohol abuse causes severe tissue damage. Alcoholic liver disease (ALD) includes a variety of liver diseases such as fatty liver, NASH, fibrosis, cirrhosis, and hepatocellular carcinoma. Among them, alcoholic hepatitis (AH) is a type of acute on chronic liver disease, the most serious form of ALD, and is characterized by high mortality. Its severe type is also named acute-on-chronic liver failure (ACLF). According to a report, up to 40% of patients with severe AH die within 6 months because there is no effective cure method other than the initiation of prednisolone.<a class="elsevierStyleCrossRef" href="#bib0210"><span class="elsevierStyleSup">2</span></a> Therefore, an intensive understanding of the causes of AH is very important for its prevention and treatment.</p><p id="par0010" class="elsevierStylePara elsevierViewall">Intrahepatic infiltration of neutrophils is one of the characteristics of AH.<a class="elsevierStyleCrossRef" href="#bib0215"><span class="elsevierStyleSup">3</span></a> Neutrophils are one of the major effector cells of the innate immune system and have a variety of immune functions such as phagocytosis, degranulation, reactive oxygen species production, while these functions partly rely on or together with neutrophil extracellular traps (NETs) formation and release.<a class="elsevierStyleCrossRef" href="#bib0220"><span class="elsevierStyleSup">4</span></a> Alcohol intake, on the other hand, could cause decreased intestinal motility, overgrowth of intestinal bacteria, and destruction of the intestinal barrier, which can result in the transfer of excess bacteria and their metabolites (like LPS) into the liver.<a class="elsevierStyleCrossRefs" href="#bib0225"><span class="elsevierStyleSup">5,6</span></a> LPS is thought to have the effect of promoting neutrophils to the formation of NET by binding to its receptor Toll-like receptor 4 (TLR4). It has not yet been confirmed whether NET is formed in the liver of AH and whether intestinal-derived LPS contributes to the intrahepatic formation of NETs during the condition of AH.</p><p id="par0015" class="elsevierStylePara elsevierViewall">NETs is an extracellular network structure capable of fighting toxic factors and killing bacteria and is mainly composed of extracellular chains of depolymerized DNA and neutrophil granule proteins. These proteins include histones, neutrophil elastase (NE), myeloperoxidase (MPO), cathepsin G, and other more than 30 enzymes and proteins.<a class="elsevierStyleCrossRef" href="#bib0235"><span class="elsevierStyleSup">7</span></a> Although NETs can kill bacteria, fungi, viruses, parasites and further prevent the spread of them and fight against serious infections, the excessive formation of NETs could also lead to exacerbation of inflammation, the development of immune disorders, and damage to adjacent cells.<a class="elsevierStyleCrossRefs" href="#bib0240"><span class="elsevierStyleSup">8,9</span></a> Therefore, NET is considered to a play role in many diseases such as cardiovascular disease and systemic lupus erythematosus (SLE).<a class="elsevierStyleCrossRef" href="#bib0250"><span class="elsevierStyleSup">10</span></a> In the liver, in recent years NETs were also involved in liver ischemia-reperfusion injury, non-alcoholic disease, chemical-induced chronic liver fibrosis, hepatocellular carcinoma et al.<a class="elsevierStyleCrossRefs" href="#bib0255"><span class="elsevierStyleSup">11–13</span></a> However, whether NETs are also related to AH is still unsure. Based on the above information, we proposed the following hypothesis that intestinal-derived LPS may promote intrahepatic NET formation via its receptor TLR4 and exacerbate the process of AH.</p><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Method</span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Human sample collection</span><p id="par0020" class="elsevierStylePara elsevierViewall">Blood samples were collected from patients with AH hospitalized in the Liver disease center at the Second affiliated hospital of Xi’an Jiaotong University. The diagnosis of AH was based on the guidelines which was released by the Chinese national workshop on fatty liver and alcoholic liver disease.<a class="elsevierStyleCrossRef" href="#bib0270"><span class="elsevierStyleSup">14</span></a> Control samples were collected from patients diagnosed with thyroid nodular goiter and gallbladder stone and without liver disease and alcohol consumption history in the Department of General Surgery, the Second affiliated hospital of Xi’an Jiaotong university before their operation. All the human and animal study was reviewed and approved by the Ethics Committee of Second Affiliated Hospital of the Xi’an Jiaotong University (No. 2018-2115).</p></span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Animal</span><p id="par0025" class="elsevierStylePara elsevierViewall">The C57 mouse was purchased from the Experimental Animal Center of Xi’an Jiaotong University while NE knockout (KO) and TLR4 KO mice (C57 background) were purchased from Jackson Laboratory. Mice were kept bred in an SPF animal room with a 12-h light-dark cycle and not restricted to water and food.</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Antibiotic intervention and LPS supplement</span><p id="par0030" class="elsevierStylePara elsevierViewall">Replace mouse drinking water with an aqueous solution containing neomycin (0.3<span class="elsevierStyleHsp" style=""></span>g/L), ampicillin (0.3<span class="elsevierStyleHsp" style=""></span>g/L), metronidazole (0.3<span class="elsevierStyleHsp" style=""></span>g/L), and vancomycin (0.15<span class="elsevierStyleHsp" style=""></span>g/L) 2 weeks before animal model building. Daily increase antibiotics concentration to reached concentration of neomycin (1<span class="elsevierStyleHsp" style=""></span>g/L), ampicillin (1<span class="elsevierStyleHsp" style=""></span>g/L), metronidazole (1<span class="elsevierStyleHsp" style=""></span>g/L), and vancomycin (0.5<span class="elsevierStyleHsp" style=""></span>g/L) and then keep this concentration in drinking water until sample harvest. The stool was collected and tested colony-forming unit (CFU) with blood agar plated to confirm bacteria was removed. In the combined LPS treatment group, LPS (300<span class="elsevierStyleHsp" style=""></span>μg/kg/d) was daily subcutaneous injected.</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">MPO-DNA detection</span><p id="par0035" class="elsevierStylePara elsevierViewall">Human serum MPO-DNA and mouse liver MPO-DNA levels were detected by the ELISA kit according to the manufacturer's instructions. Briefly, Liver samples were weighed and homogenized on ice with cell extraction buffer containing protease inhibitors. After vortexing the sample for 30<span class="elsevierStyleHsp" style=""></span>min, the sample was centrifuged at 5000<span class="elsevierStyleHsp" style=""></span>rpm to collect the supernatant and the protein content was quantified by BCA. An assay based on bovine serum albumin. Samples were diluted with PBS to equalize protein concentrations. First, the 96-well plate was coated with a coating solution, and the plate was washed with wash buffer. The wells were then blocked with blocking buffer and standard solution and samples (100<span class="elsevierStyleHsp" style=""></span>μL) were added to the wells. After incubation, the wells were washed, the detection antibody solution was added, and then the streptavidin-horseradish peroxidase solution was added. Next, the TMB substrate solution was added, and the stop solution was added. Added after 30<span class="elsevierStyleHsp" style=""></span>min of incubation. The absorbance was read at 450<span class="elsevierStyleHsp" style=""></span>nm The concentration was determined based on the standard curve.</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Statistics</span><p id="par0040" class="elsevierStylePara elsevierViewall">The results were analyzed by Prism 8.0 software. Numerical data are shown as mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>standard deviation. The student's <span class="elsevierStyleItalic">t</span>-test was used to compare the differences between the groups. A <span class="elsevierStyleItalic">p</span> value below 0.05 was considered significantly different.</p><p id="par0045" class="elsevierStylePara elsevierViewall">Detailed methodology is described in <a class="elsevierStyleCrossRef" href="#sec0125">Supplementary Methods</a>.</p></span></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Result</span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">MPO-DNA and LPS are elevated in the serum of patients with acute alcoholic hepatitis</span><p id="par0050" class="elsevierStylePara elsevierViewall">Serum samples were collected from a total of 46 healthy patients and 24 patients with acute alcoholic hepatitis. The levels of LPS and MPO-DNA in the patient's serum were tested. When neutrophils formed NET, the chromatin DNA associated with other neutrophil proteins was released. So we can determine that the nucleosome is derived from the NETs by measuring the MPO-DNA complex.<a class="elsevierStyleCrossRef" href="#bib0275"><span class="elsevierStyleSup">15</span></a> The characters of clinical data from these patients are shown in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>. Due to different disease backgrounds, many differences present between the two groups, like age, gender, the number of patients with portal hypertension, ALT, and other test results. Through testing, we found that the serum LPS and MPO-DNA concentrations in acute alcoholic hepatitis patients were significantly higher than the serum concentrations of healthy control people (<a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>A and B). More interestingly, we also found that there is a correlation between serum LPS and MPO-DNA concentration in alcoholic hepatitis patients (<a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>C). Given this result of human sample research, we suspect whether NET plays some role in acute alcoholic hepatitis?</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><elsevierMultimedia ident="fig0005"></elsevierMultimedia></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Increased NET formation in mouse AH model</span><p id="par0055" class="elsevierStylePara elsevierViewall">Although NETs formed in human AH, whether they also formed in rodents is still unsure. So, we built a mice AH model as described to figure out the question. This model is considered to imitate a series of human characteristic changes of AH such as hepatocyte damage, neutrophil infiltration, intestinal bacteria, and fungi intrahepatic translocation via the portal vein, liver inflammation, and fibrosis.<a class="elsevierStyleCrossRef" href="#bib0280"><span class="elsevierStyleSup">16</span></a> After treating mice with alcohol, the serum ALT concentration and liver TG content were significantly higher than that in the sham group (<a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a>A and C). A large amount of intrahepatic red-stained areas was observed revealed by both Oil-red staining and Sirius red staining (<a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a>B and I). We have also seen many α-SMA and collagen-1a1 positive stained areas in the liver by immunohistochemistry staining (<a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a>I). These results suggest that the AH mice model was successfully made. Compare with the sham group, the serum LPS concentration was much higher in AH mice, and serum MPO-DNA concentration is significate increased in AH mice than in sham-treated mice (<a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>D and E). Intrahepatic fluorescence of NE and CitH3 which was revealed by immunofluorescence staining was significantly higher in AH mice than that in sham mice (<a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>F and G). These results suggest that a large number of NETs formed in the liver after chronic alcoholic liver injury in both humans and rodents. Now we doubt that does NETs relate to AH and why NETs formed in this condition.</p><elsevierMultimedia ident="fig0010"></elsevierMultimedia></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">NETs is essential for AH in mice</span><p id="par0060" class="elsevierStylePara elsevierViewall">Since we found the numerous NETs present in the AH both in humans and mice, NETs has been considered to damage adjacent cells in a variety of bacterial and sterile pathological diseases or conditions. Therefore, we speculated that NET may also play some role in the etiology of AH. The NE KO mice were used in the study. Neutrophil elastase (NE) could translocate to the nucleus during NETosis and cleaves histones, thereby contributing to chromatin depolymerization.<a class="elsevierStyleCrossRef" href="#bib0220"><span class="elsevierStyleSup">4</span></a> So neutrophils won’t respond to microorganisms and release NETs when NE is absent.<a class="elsevierStyleCrossRef" href="#bib0285"><span class="elsevierStyleSup">17</span></a> In the experiment, we found that NE KO mice had significantly lower serum ALT concentrations than WT mice in the model of AH (<a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a>A). By oil-red staining of mouse liver, it was observed that the liver of WT mice had more red-stained areas than NE KO mice (<a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a>B). Liver TG content was also significantly lower in NE KO mice than that in WT mice (<a class="elsevierStyleCrossRef" href="#fig0015">Fig. 3</a>C). We also tested the mRNAs of lipogenesis-related genes and found that the mRNA expression of ACC1 and FASN in NE KO mice was significantly lower than the expression of WT mice (<a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a>D and E). As for inflammation-related genes, the intrahepatic TNFα, Ccl2, and Cxcl1 mRNA expression levels in NE KO mice were significantly lower than the level of WT mice (<a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a>F, G, and H). We also tested several indicators associated with liver fibrosis. By Sirius-red staining and immunochemistry staining of αSMA and collagen 1a1, it was is shown that WT mice had more intrahepatic positive staining area which indicates more fibro formation than NE KO mice (<a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a>I). Meanwhile, the expression of TIMP2 and Collagen1 mRNA which is associated with liver fibrosis was also significantly reduced in NE KO mice than WT mice by qPCR detection (<a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a>J and K).</p><elsevierMultimedia ident="fig0015"></elsevierMultimedia></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0120">Gut-derived LPS promotes NET formation in the condition of AH</span><p id="par0065" class="elsevierStylePara elsevierViewall">Although our previous experiments suggest that NETs are present in the liver of AH, what is responsible for this phenomenon is still unsure? To answer this question, a combined model of antibiotic intervention and AH was used. The model of antibiotic intervention with a cocktail of antibiotics has been considered to eliminate the gut microbiome effectively and safely.<a class="elsevierStyleCrossRefs" href="#bib0290"><span class="elsevierStyleSup">18,19</span></a> As a result, the intrahepatic fluorescence of Cit H3 and NE was significantly decreased after gut sterilization than control in the AH mice model (<a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>A and B). Serum MPO-DNA concentration was also lower in the antibiotics using group than the no antibiotics control group (<a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>C). This suggests that gut microbiota is a critical factor for NET formation in AH. However, this cocktail antibiotics recipe unselectively removed almost all gut microbiome, which substance is the key factor? Lipoteichoic acid, the pathogen-associated molecular patterns (PAMPs) of G+ bacteria, is believed to be the reason for the protective effect of intestinal probiotics in various studies. While LPS, the PAMPs of G-bacteria, have been found to have the function which stimulates NETs formation in many different experiments. Therefore, we speculated that LPS probably is the key factor among bacteria and plays a critical role in NET formation in the condition of AH. So we give mice with LPS after removal of intestinal bacteria and found that supplement of LPS increased intrahepatic fluorescence of Cit H3 and NE than non LPS supplement mice in the combined antibiotic intervention plus AH mice model (<a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>A and B). Meanwhile, we also tested serum MPO-DNA concentration, and results showed that its level increased in the combined given LPS group than no LPS supplement mice in antibiotic intervention plus AH mice (<a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>C).</p></span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0125">Eliminate intestinal bacteria decreased AH in mice</span><p id="par0070" class="elsevierStylePara elsevierViewall">As we have demonstrated that NET promotes AH, and gut-derived LPS promotes NETs formation, and the gut-liver axis and the intestinal microbiome has believed to be the causes for many alcohols and non-alcohol-induced liver insults. Do we suspect whether gut bacteria and LPS relate to AH? We built a combination of intestinal detergent and AH model, and results show that antibiotics significantly reduced serum ALT concentration in AH (<a class="elsevierStyleCrossRef" href="#fig0015">Fig. 3</a>A). TG levels in the liver were significantly reduced without intestinal bacteria and oil red staining showed significantly reduced intrahepatic red-stained areas in the antibiotics group than that in the control group (<a class="elsevierStyleCrossRef" href="#fig0015">Fig. 3</a>B and C). The mRNA expression of ACC1 and FASN which is associated with liver tissue lipogenesis was also significate attenuated with the removal of gut microbiota (<a class="elsevierStyleCrossRef" href="#fig0015">Fig. 3</a>D and E). Expression of liver TNFα, Ccl2, Cxcl1 mRNA which are associated with inflammation was lower when mice received antibiotics compared with control (<a class="elsevierStyleCrossRef" href="#fig0015">Fig. 3</a>F, G, and H). Intrahepatic fibro deposition was also reduced with gut sterilization by detection with Sirius-red staining and staining with αSMA and collagen 1a1 (<a class="elsevierStyleCrossRef" href="#fig0015">Fig. 3</a>I). The expression of liver TIMP2 and collagen 1 mRNA decreased with antibiotic intervention compared with the control group (<a class="elsevierStyleCrossRef" href="#fig0015">Fig. 3</a>J and K).</p></span><span id="sec0065" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0130">LPS is the key for intestinal bacteria insulting the liver in AH</span><p id="par0075" class="elsevierStylePara elsevierViewall">Next, we investigated whether LPS is the key to promoting the effectiveness of the intestinal microbiome in AH. When LPS was co-administered to antibiotics treated mice, serum ALT concentration and liver TG content were significantly restored compared to antibiotics treated AH mice (<a class="elsevierStyleCrossRef" href="#fig0015">Fig. 3</a>A and C). The intrahepatic fatty deposition was revealed by oil red staining and the result showed that more red staining area was seen after LPS supplement than no LPS supplement in gut sterilized AH mice (<a class="elsevierStyleCrossRef" href="#fig0015">Fig. 3</a>B). Intrahepatic fiber which was detected by Sirius-red staining and immunochemistry staining of αSMA and collagen 1a1 was re-increased after giving LPS to antibiotic intervention mice (<a class="elsevierStyleCrossRef" href="#fig0015">Fig. 3</a>I). Liver lipogenesis-related gene ACC1 and FASN, inflammation-related gene TNFα, Ccl, Cxcl1, fibrosis-related genes TIMP2 and Collagen1 also had a higher expression level in LPS plus antibiotics treatment group than only antibiotics treatment group (<a class="elsevierStyleCrossRef" href="#fig0015">Fig. 3</a>D, E, F, G, H, J, and K).</p></span><span id="sec0070" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0135">TLR4 is critical for gut-derived LPS to promote NETs formation in the condition of AH</span><p id="par0080" class="elsevierStylePara elsevierViewall">TLR4 is thought to be the binding receptor for LPS. Many studies suggested that LPS promotes NET formation via TLR4 and further induced tissue damage. Therefore, we speculate whether TLR4 is also involved in liver damage exacerbated by NET during AH. A TLR4 KO mice were used to build the AH animal model, and results showed that the fluorescence of intrahepatic NE and CitH3 in TLR4 KO mice was also significantly lower than the fluorescence of NE and Cit H3 in wild type (WT) mice (<a class="elsevierStyleCrossRef" href="#fig0020">Fig. 4</a>A and B). At the same time, the serum MPO-DNA level of TLR4 KO mice was significantly lower than that of WT mice after alcohol administration (<a class="elsevierStyleCrossRef" href="#fig0020">Fig. 4</a>C). Then we combined the given TLR4 KO mice with antibiotics or antibiotics plus LPS in the model of AH and what is interesting is that TLR4 KO mice showed a different pattern compared with WT mice. Our results have shown that there were not significant changes of serum MPO-DNA in TLR4 mice either when they received antibiotics or antibiotics plus LPS (<a class="elsevierStyleCrossRef" href="#fig0020">Fig. 4</a>C). Intrahepatic NE and Cit H3 were also detected by immunofluorescent method and we found that, not like WT mice, there was not a significant difference between control, antibiotics, and antibiotics plus LPS group in TLR4 KO mice AH model (<a class="elsevierStyleCrossRef" href="#fig0020">Fig. 4</a>A and B). These results suggest that the intestinal-derived LPS stimulates NETs formation by TLR4 in AH.</p><elsevierMultimedia ident="fig0020"></elsevierMultimedia></span><span id="sec0075" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0140">AH attenuate when mice absent TLR4</span><p id="par0085" class="elsevierStylePara elsevierViewall">Concerning TLR4 playing a key role in intestine LPS induce NETs formation, it is probably also related to the AH process. In the study, we found that TLR4 KO mice significantly decreased serum ALT concentration than WT mice (<a class="elsevierStyleCrossRef" href="#fig0025">Fig. 5</a>A). The red-stained areas of the TLR4 KO mice liver were significantly less than WT mice by red oil-red staining, and the liver TG content was also significantly lower in TLR4 KO mice than WT mice (<a class="elsevierStyleCrossRef" href="#fig0025">Fig. 5</a>B and C). The expression of ACC1, FASN TNFα, Ccl2, and Cxcl1 mRNA in the liver of TLR4 KO mice was significantly decreased than in WT mice (<a class="elsevierStyleCrossRef" href="#fig0025">Fig. 5</a>D–H). Sirius staining and immunohistochemical staining of α-SMA and collagen 1a1 revealed that TLR4 KO mice had less positively stained region than WT mice (<a class="elsevierStyleCrossRef" href="#fig0025">Fig. 5</a>I). At the same time, the liver mRNA expression levels of TIMP2 and collagen1 were significantly alleviated in TLR4 KO mice than those of WT mice (<a class="elsevierStyleCrossRef" href="#fig0025">Fig. 5</a>J and K).</p><elsevierMultimedia ident="fig0025"></elsevierMultimedia></span><span id="sec0080" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0145">TLR4 deficient mice fail to respond to intestinal microbiome and LPS in AH</span><p id="par0090" class="elsevierStylePara elsevierViewall">Interestingly, unlike WT mice in the model of AH, TLR4 KO mice did not show significant diversity when they removed the intestinal microbiome or supplemented LPS after the gut was sterilized. We tested serum ALT concentration and liver TG content and results showed that there was not a significate difference between the control group, antibiotics group, and antibiotics plus LPS group in TLR4 KO mice of the AH model (<a class="elsevierStyleCrossRef" href="#fig0025">Fig. 5</a>A and C). Intrahepatic red staining areas and ACC1, FASN mRNA expression were the same among these three groups in the TLR4 KO mice AH model (<a class="elsevierStyleCrossRef" href="#fig0025">Fig. 5</a>B, D, and E). Fibrous deposits also did not show differences between control, antibiotics, and antibiotics plus LPS group in TLR4 KO mice AH model by detecting with Sirius red staining, immunohistochemical staining (<a class="elsevierStyleCrossRef" href="#fig0025">Fig. 5</a>I). Liver fibrosis-related genes TIMP2, Collagen1 together with inflammation-related genes TNFα, Ccl2, Cxcl1 mRNA expression kept at the same level when removed gut bacteria and removed gut bacteria plus LPS in TLR4 KO mice (<a class="elsevierStyleCrossRef" href="#fig0025">Fig. 5</a>F–H, J, and K).</p></span></span><span id="sec0085" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0150">Discussion</span><p id="par0095" class="elsevierStylePara elsevierViewall">Human AH is main characterized by systemic inflammation, hepatocellular injury, intrahepatic infiltration of neutrophils, and surrounding liver fibrosis. However, most existing animal models of alcoholic liver disease are characterized by minor changes in liver histology, lack of neutrophil infiltration into the liver, and severe pericellular fibrosis,<a class="elsevierStyleCrossRef" href="#bib0300"><span class="elsevierStyleSup">20</span></a> this limited the study in the field of alcoholic liver disease, especially the AH. In this study, we used a model introduced by Shinji Furuya who succeeded in reproducing the characteristics of human AH such as more severe liver damage, steatohepatitis, neutrophil infiltration into the liver, liver fibrosis, overgrowth of <span class="elsevierStyleItalic">Escherichia coli</span> and Candida.<a class="elsevierStyleCrossRef" href="#bib0305"><span class="elsevierStyleSup">21</span></a> So, this model is considered an ideal model for AH research.<a class="elsevierStyleCrossRef" href="#bib0280"><span class="elsevierStyleSup">16</span></a></p><p id="par0100" class="elsevierStylePara elsevierViewall">It has been found that neutrophils increased in peripheral blood and liver tissue tropism of ALD patients and a higher intrahepatic neutrophil level revealed by liver biopsies indicates a poor clinical outcome in AH patients.<a class="elsevierStyleCrossRef" href="#bib0310"><span class="elsevierStyleSup">22</span></a> Kupffer cells which are activated after alcohol intake together with damaged liver cells recruit neutrophils to the liver by releasing chemical factors and cytokines. Although their specific mechanism of action is still not fully clear, these infiltrating neutrophils (including immature neutrophils) could lead to liver damage in various ways.<a class="elsevierStyleCrossRef" href="#bib0315"><span class="elsevierStyleSup">23</span></a></p><p id="par0105" class="elsevierStylePara elsevierViewall">The neutrophil is the main source of reactive oxygen species (ROS). Although ROS formation is an effective sterilization process, excessive or uncontrolled ROS formation can lead to unwanted tissue damage. It had shown that peripheral neutrophils isolated from AH or alcohol-related cirrhosis patients had a much higher ROS level compared to neutrophils from healthy donors, which result indicate that more neutrophils were activated in ALD patients.<a class="elsevierStyleCrossRef" href="#bib0310"><span class="elsevierStyleSup">22</span></a> It is found that serum concentration of some NETs related proteins like lactoferrin, NE, lipocalin 2 (LCN2) increased in ALD patients which implies more neutrophils may form NETs in this condition.<a class="elsevierStyleCrossRef" href="#bib0320"><span class="elsevierStyleSup">24</span></a> Recently, NET has been also found to induce intrahepatic inflammation in a short-term alcohol intake induced liver injury model,<a class="elsevierStyleCrossRef" href="#bib0325"><span class="elsevierStyleSup">25</span></a> whether NET is present in human and mouse AH is still unknown. In the study, we found for the first time that MPO-DNA was elevated in human AH through clinical sampling, which suggested the presence of NET in the human body of AH patients. However, our result was based on the test of blood sample and could not determine whether NET is located in the liver or some other extrahepatic organs, so we further built an AH model in mice and found that a large amount of NETs present in the liver by liver sampling. Then we thought two questions, one is why NETs formed in the liver in this condition, another is that is there some relationship between NETs and AH. To figure out these questions, a series of research was conducted.</p><p id="par0110" class="elsevierStylePara elsevierViewall">In a recent study, it was found that NETs also contribute to liver damage in chronic-plus-binge alcoholic feeding mouse model. However, the inducer for NET formation still need investigation.<a class="elsevierStyleCrossRef" href="#bib0330"><span class="elsevierStyleSup">26</span></a> It is well known that alcohol could affect multiple end organs (mainly the liver, intestines, and brain). In the gut, it is found that alcohol could cause an overgrowth of small intestinal bacteria after ingestion. It is found that ALD patients had lower levels of <span class="elsevierStyleItalic">Bifidobacterium</span>, <span class="elsevierStyleItalic">Lactobacillus</span> spp., <span class="elsevierStyleItalic">Faecalibacterium prausnitzii</span>, <span class="elsevierStyleItalic">Ruminoccoccus</span> spp. as well as Bacteroidaceae, while the proportion of some G-bacteria like Lachnospiraceae was found increased.<a class="elsevierStyleCrossRefs" href="#bib0335"><span class="elsevierStyleSup">27,28</span></a> On the other hand, alcohol could damage the intestinal barrier function and induce intestine hyperpermeability.<a class="elsevierStyleCrossRef" href="#bib0345"><span class="elsevierStyleSup">29</span></a> Although intestinal lumen content of IgA level increased in alcoholics, alcohol consumption impacts several key components of the non-immunologic intestinal barrier and is associated with a decrease of many intestinal tight junction proteins.<a class="elsevierStyleCrossRef" href="#bib0345"><span class="elsevierStyleSup">29</span></a> As a result, excessive intestinal bacteria and its component like LPS migrated into the liver via the portal vein which results were also confirmed in our experiment. In this study, less NET formation was observed with the removal of intestinal bacteria in the process of AH. This result suggests that certain microbes or their components may be involved in the formation of NET in this condition. Many in vivo and in vitro studies had proved that LPS, the main component of G-bacterial cell membranes, has been identified as a strong stimulate effect on NETosis.<a class="elsevierStyleCrossRefs" href="#bib0350"><span class="elsevierStyleSup">30–33</span></a> While the little study showed that lipoteichoic acid (PAMPs of G+ bacteria) or bacterial DNA had a stimulating effect on NETosis and LTA even shown an inhibitory effect on NETosis in some studies.<a class="elsevierStyleCrossRef" href="#bib0370"><span class="elsevierStyleSup">34</span></a></p><p id="par0115" class="elsevierStylePara elsevierViewall">When LPS translocates into the liver, it can cause liver damage by various intrahepatic cells through combining with its receptor TLR4. It is reported that LPS activates Kuffer cells by interacting with CD14 and TLR4 on the surface of the Kuffer cells, then it will release ROS and various inflammatory cytokines and cause damage.<a class="elsevierStyleCrossRef" href="#bib0375"><span class="elsevierStyleSup">35</span></a> LPS could also activate sinusoidal endothelial cells via TLR4 and lead to the release of IL6 and result in liver damage. So, LPS and TLR4 had been considered to have a function to stimulate or regulate NETs formation in many bacterial or non-bacterial related diseases or condition.<a class="elsevierStyleCrossRefs" href="#bib0380"><span class="elsevierStyleSup">36–38</span></a> In another double insults model with alcohol and LPS, LPS could also activate hepatic stellate cells and increased deposits of collagen fiber in the liver.<a class="elsevierStyleCrossRef" href="#bib0375"><span class="elsevierStyleSup">35</span></a> However, it is still unclear whether LPS-TLR4 can also insult the liver by stimulation of neutrophils to form NET in the AH liver. In the study, we found that LPS restored the NETs formation in gut sterilized AH mice, and NETs formation did not respond with antibiotic intervention or LPS in TLR4 KO mice. These results suggest that intestinal LPS could stimulate neutrophils to form NETs by TLR4 in AH.</p><p id="par0120" class="elsevierStylePara elsevierViewall">Although NET plays a crucial role in innate immunity, excessive NET formation is characterized by promoting inflammation and damaging host cells. Due to these effects, NETs is considered as an underlying basis in many diseases such as systemic lupus erythematosus (SLE), vasculitis, diabetes, thrombosis, lung damage.<a class="elsevierStyleCrossRef" href="#bib0395"><span class="elsevierStyleSup">39</span></a> In the liver, NET is involved in liver ischemia-reperfusion injury, NASH, hepatocellular carcinoma, etc.<a class="elsevierStyleCrossRefs" href="#bib0255"><span class="elsevierStyleSup">11,12</span></a> More recently, Szabo's team proved that NET has also been involved in mice liver damage due to short-term acute alcohol intake.<a class="elsevierStyleCrossRef" href="#bib0325"><span class="elsevierStyleSup">25</span></a> In humans, NETs present in AH and a higher intrahepatic neutrophil imply a poor outcome of AH. In this study, we found that liver damage, intrahepatic inflammation, fat deposition, fibrosis attenuates in the model of AH without NETs which indicates that NETs take part in the process of AH. As the gut-liver axis has been considered as the key factor for liver injury in various liver diseases, also including ALD, and we proved that NETs play role in AH and gut-derived LPS stimulate NETs formation via its receptor TLR4, so it makes sense that intestinal LPS aggravate AH in the study. Although some studies showed alcohol-impaired NET formation in response to antigen,<a class="elsevierStyleCrossRefs" href="#bib0325"><span class="elsevierStyleSup">25,40</span></a> this is probably due to the setting of high circulating lipopolysaccharide (LPS) levels which prime neutrophils and impair their reactivity to further stimuli.<a class="elsevierStyleCrossRef" href="#bib0265"><span class="elsevierStyleSup">13</span></a> However, this study implies that LPS is essential for AH present in alcohol consumption at least.</p><p id="par0125" class="elsevierStylePara elsevierViewall">In summary, we can conclude from the study that human and mouse AH had an increased formation of NETs in the liver. Intestinal LPS causes the excessive formation of NET in the liver via TLR4, which exacerbates the development of AH.</p></span><span id="sec0090" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0155">Availability of data and material</span><p id="par0130" class="elsevierStylePara elsevierViewall">The datasets used or analyzed during the current study are available from the corresponding author on reasonable request.</p></span><span id="sec0095" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0160">Ethical approval</span><p id="par0135" class="elsevierStylePara elsevierViewall">All human sample collections and animal experiment were reviewed and approved by the Ethics Committee of Second Affiliated Hospital of the Xi’an Jiaotong University (No. 2018-2115).</p></span><span id="sec0100" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0165">Consent for publication</span><p id="par0140" class="elsevierStylePara elsevierViewall">Not applicable.</p></span><span id="sec0105" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0170">Authors’ contributions</span><p id="par0145" class="elsevierStylePara elsevierViewall">Y.L.: Designed research, conducted experiments, acquired data, analyzed data, wrote the manuscript. S.C., J.W.: Conducted experiments, acquired data, analyzed data, and wrote the manuscript. X.Z.: Designed research, conducted experiments, analyzed data. S.Y., Y.L, M.X., W.Q, H.A., H.L., T.S., J.W.: Acquired data, conducted experiments. G.C.: Designed research, analyzed data, revised the manuscript. All authors revised and approved the manuscript for publication.</p></span><span id="sec0110" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0175">Funding</span><p id="par0155" class="elsevierStylePara elsevierViewall">This work was supported by grants from the <span class="elsevierStyleGrantSponsor" id="gs1">National Natural Science Foundation of China</span> (Grant No. <span class="elsevierStyleGrantNumber" refid="gs1">81602401</span>), the <span class="elsevierStyleGrantSponsor" id="gs2">Central University Basic Research Fund of China</span> (Grant No. <span class="elsevierStyleGrantNumber" refid="gs2">xzy012021055</span>) and <span class="elsevierStyleGrantSponsor" id="gs3">Natural Science Foundation of Shaanxi Province</span> (<span class="elsevierStyleGrantNumber" refid="gs3">2020JM-404</span>) to Y.L.</p></span><span id="sec0115" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0180">Conflict of interests</span><p id="par0160" class="elsevierStylePara elsevierViewall">The authors declare no competing interests.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:16 [ 0 => array:3 [ "identificador" => "xres2090731" "titulo" => "Abstract" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Background" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Methods" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusion" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec1782485" "titulo" => "Keywords" ] 2 => array:2 [ "identificador" => "xpalclavsec1782484" "titulo" => "Abbreviations" ] 3 => array:3 [ "identificador" => "xres2090732" "titulo" => "Resumen" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Antecedentes" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => 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"identificador" => "sec0045" "titulo" => "Increased NET formation in mouse AH model" ] 2 => array:2 [ "identificador" => "sec0050" "titulo" => "NETs is essential for AH in mice" ] 3 => array:2 [ "identificador" => "sec0055" "titulo" => "Gut-derived LPS promotes NET formation in the condition of AH" ] 4 => array:2 [ "identificador" => "sec0060" "titulo" => "Eliminate intestinal bacteria decreased AH in mice" ] 5 => array:2 [ "identificador" => "sec0065" "titulo" => "LPS is the key for intestinal bacteria insulting the liver in AH" ] 6 => array:2 [ "identificador" => "sec0070" "titulo" => "TLR4 is critical for gut-derived LPS to promote NETs formation in the condition of AH" ] 7 => array:2 [ "identificador" => "sec0075" "titulo" => "AH attenuate when mice absent TLR4" ] 8 => array:2 [ "identificador" => "sec0080" "titulo" => "TLR4 deficient mice fail to respond to intestinal microbiome and LPS in AH" ] ] ] 7 => array:2 [ "identificador" => "sec0085" "titulo" => "Discussion" ] 8 => array:2 [ "identificador" => "sec0090" "titulo" => "Availability of data and material" ] 9 => array:2 [ "identificador" => "sec0095" "titulo" => "Ethical approval" ] 10 => array:2 [ "identificador" => "sec0100" "titulo" => "Consent for publication" ] 11 => array:2 [ "identificador" => "sec0105" "titulo" => "Authors’ contributions" ] 12 => array:2 [ "identificador" => "sec0110" "titulo" => "Funding" ] 13 => array:2 [ "identificador" => "sec0115" "titulo" => "Conflict of interests" ] 14 => array:2 [ "identificador" => "xack728321" "titulo" => "Acknowledgements" ] 15 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2023-02-13" "fechaAceptado" => "2023-05-01" "PalabrasClave" => array:2 [ "en" => array:2 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec1782485" "palabras" => array:4 [ 0 => "Alcoholic hepatitis" 1 => "Neutrophil extracellular traps" 2 => "LPS" 3 => "TLR4" ] ] 1 => array:4 [ "clase" => "abr" "titulo" => "Abbreviations" "identificador" => "xpalclavsec1782484" "palabras" => array:22 [ 0 => "ACLF" 1 => "AH" 2 => "ALD" 3 => "ALT" 4 => "Ccl2" 5 => "cit H3" 6 => "Cxcl1" 7 => "KO" 8 => "LPS" 9 => "MPO" 10 => "NASH" 11 => "NE" 12 => "NETs" 13 => "ROS" 14 => "PAMPs" 15 => "PCNA" 16 => "SPF" 17 => "SLE" 18 => "TG" 19 => "TLR" 20 => "TNF-α" 21 => "WT" ] ] ] "es" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec1782483" "palabras" => array:4 [ 0 => "Hepatitis alcohólica" 1 => "Trampas extracelulares de neutrófilos" 2 => "LPS" 3 => "TLR4" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "en" => array:3 [ "titulo" => "Abstract" "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Background</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Intrahepatic infiltration of neutrophils is a character of alcoholic hepatitis (AH) and neutrophil extracellular traps (NETs) are an important strategy for neutrophils to fix and kill invading microorganisms. The gut-liver axis has been thought to play a critical role in many liver diseases also including AH. However, whether NETs appear in AH and play role in AH is still unsure.</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Methods</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">Serum samples from AH patients were collected and LPS and MPO-DNA were detected. WT, NE KO, and TLR4 KO mice were used to build the AH model, and the intestinal bacteria were eliminated at the same time and LPS was given. Then the formation of NETs and AH-related markers were detected.</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Results</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">The serum MPO-DNA and LPS concentration was increased in AH patients and a correlation was revealed between these two indexes. More intrahepatic NETs formed in AH mice. NETs formation decreased with antibiotic intervention and restored with antibiotic intervention plus LPS supplement. While NETs formation failed to change with gut microbiome or combine LPS supplement in TLR4 KO mice. As we tested AH-related characters, liver injury, intrahepatic fat deposition, inflammation, and fibrosis alleviated with depletion of NE. These related marks were also attenuated with gut sterilization by antibiotics and recovered with a combined treatment with antibiotics plus LPS. But the AH-related markers did show a difference in TLR4 KO mice when they received the same treatment.</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conclusion</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">Intestinal-derived LPS promotes NETs formation in AH through the TLR4 pathway and further accelerates the AH process by NETs.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Background" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Methods" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusion" ] ] ] "es" => array:3 [ "titulo" => "Resumen" "resumen" => "<span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Antecedentes</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">La infiltración intrahepática de neutrófilos es una característica de la hepatitis alcohólica (AH, por sus siglas en inglés) y las trampas extracelulares de neutrófilos (NET, por sus siglas en inglés) son una estrategia importante para que los neutrófilos fijen y maten microorganismos invasores. Se ha pensado que el eje intestino/hígado desempeña un papel crítico en muchas enfermedades hepáticas, incluida la AH. Sin embargo, aún no está claro si las NET aparecen en la AH y desempeñan un papel en la misma.</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Métodos</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Se recogieron muestras de suero de pacientes con AH, y se detectaron LPS y MPO-ADN. Se utilizaron ratones WT, NE KO y TLR4 KO para construir el modelo de la AH, y las bacterias intestinales se eliminaron al mismo tiempo y se administró LPS. Luego se detectó la formación de NET y los marcadores relacionados con la AH.</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Resultados</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">La concentración sérica de MPO-ADN y LPS aumentó en los pacientes con HA, y se reveló una correlación entre estos 2 índices. Se formaron más NET intrahepáticos en ratones con AH. La formación de las NET disminuyó con la intervención antibiótica, y se restauró con la intervención antibiótica más suplemento de LPS. Mientras que la formación de NET no pudo cambiar con el microbioma intestinal o combinar el suplemento de LPS en ratones TLR4 KO. A medida que probamos los caracteres relacionados con la AH, la lesión hepática, la deposición de grasa intrahepática, la inflamación y la fibrosis se aliviaron con el agotamiento de las NET. Estas marcas relacionadas también se atenuaron con la esterilización intestinal con antibióticos, y se recuperaron con un tratamiento combinado con antibióticos más LPS. Pero los marcadores relacionados con la AH mostraron una diferencia en los ratones TLR4 KO cuando recibieron el mismo tratamiento.</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Conclusión</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">El LPS de origen intestinal promueve la formación de NET en la AH a través de la vía TLR4, y acelera aún más el proceso de AH por NET.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Antecedentes" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Métodos" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusión" ] ] ] ] "NotaPie" => array:1 [ 0 => array:3 [ "etiqueta" => "1" "nota" => "<p class="elsevierStyleNotepara" id="npar0005">These authors contribute to this work equally (co-first authors).</p>" "identificador" => "fn0005" ] ] "apendice" => array:1 [ 0 => array:1 [ "seccion" => array:1 [ 0 => array:4 [ "apendice" => "<p id="par0175" class="elsevierStylePara elsevierViewall">The following are the supplementary data to this article:<elsevierMultimedia ident="upi0005"></elsevierMultimedia></p>" "etiqueta" => "Appendix A" "titulo" => "Supplementary data" "identificador" => "sec0125" ] ] ] ] "multimedia" => array:7 [ 0 => array:7 [ "identificador" => "fig0005" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 3401 "Ancho" => 2500 "Tamanyo" => 779877 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Increased NETs marker and LPS in human AH and mice AH model. Gut-derived LPS promotes NETosis in the condition of AH. (A) AH, patients had an increased serum level of MPO-DNA when compared with control patients without liver disease or alcohol consumption history. (B) Serum LPS concentration was compared between AH patients and control patients. (C) Correlation between serum MPO-DNA and LPS concentration in AH patients. AH model was built in WT mice and the mice received antibiotic intervention by cocktail antibiotics or antibiotics plus LPS supplement. Mice were sacrificed after 9 weeks of treatment and liver/serum samples were analyzed. Serum LPS and MPO DNA concentration from sham and AH mice detected by ELISA method (A and B). Cit H3 and NE were detected by the immunofluorescence method with the liver sample (C and D) *: <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05.</p>" ] ] 1 => array:7 [ "identificador" => "fig0010" "etiqueta" => "Figure 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 3406 "Ancho" => 2500 "Tamanyo" => 662552 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">AH model was successful established in mice and depletion of NETs decreased liver injury, liver inflammation, fat deposition, and liver fibrosis in mice AH model. AH model was built in both WT and NE KO mice. Mice were euthanized at end of model building and liver or serum samples were collected. Serum ALT concentration was revealed by the ELISA method (A). The liver fat deposition was detected by Oil red staining (200×) and TG concentration detection (B and C). Liver mRNAs of lipogenesis-related genes (ACC1, FASN) expression was detected by qPCR (D and E). Intrahepatic inflammation was revealed by TNFα, CCL2, Cxcl1 with the qPCR method (F–H). Mice were tested for fibrillar collagen by Sirius red staining (200×) and expression of a-SMA and collagen 1a1 was determined by immunohistochemistry (400×) (I and J). Liver levels of fibrosis-related genes (ACTA-2, TIMP-2, and Collagen-1) were determined by qPCR(J and K).</p>" ] ] 2 => array:7 [ "identificador" => "fig0015" "etiqueta" => "Figure 3" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr3.jpeg" "Alto" => 3323 "Ancho" => 2500 "Tamanyo" => 759318 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Mice AH process decreased without intestinal bacterial and this process recovered after LPS supplement. The intestinal microbiome was sterilized by cocktail antibiotics in the AH mice model, and combined given mice with antibiotics plus LPS in another group of mice. Liver and serum samples were detected after sample collection at end of the AH model building. Serum ALT concentration was detected by the ELISA method. The intrahepatic fat deposition was revealed by Oil red staining (200×) and liver TG content examination. Liver mRNAs of lipogenesis-related genes (ACC1, FASN) expression was detected by qPCR (D and E). Intrahepatic inflammation was revealed by TNFα, CCL2, Cxcl1 with the qPCR method (F–H). Mice were tested for fibrillar collagen by Sirius red staining (200×) and expression of a-SMA and collagen 1a1 was determined by immunohistochemistry (400×) (I and J). Liver levels of fibrosis-related genes (TIMP-2 and Collagen-1) were determined by qPCR (J and K).</p>" ] ] 3 => array:7 [ "identificador" => "fig0020" "etiqueta" => "Figure 4" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr4.jpeg" "Alto" => 1967 "Ancho" => 2500 "Tamanyo" => 668004 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">TLR4 is critical for gut-derived LPS to promote NETs formation in the condition of AH. AH model was built in WT mice and the mice received antibiotic intervention by cocktail antibiotics or antibiotics plus LPS supplement. Mice were sacrificed after 9 weeks of treatment and liver/serum samples were analyzed. Serum LPS and MPO DNA concentration from sham and AH mice detected by ELISA method (A and B). Cit H3 and NE were detected by the immunofluorescence method with the liver sample (C and D). *: <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05.</p>" ] ] 4 => array:7 [ "identificador" => "fig0025" "etiqueta" => "Figure 5" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr5.jpeg" "Alto" => 3238 "Ancho" => 2500 "Tamanyo" => 722481 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">Absence of TLR4 attenuated AH in mice and TLR4 KO mice did not respond with antibiotics and LPS in the AH model. AH, the model was built in TLR4 KO mice, and mice received different treatment with antibiotics or antibiotics plus LPS. Liver and serum samples were collected at end of the AH model building. Serum ALT concentration was detected by the ELISA method. The intrahepatic fat deposition was revealed by Oil red staining (200×) and liver TG content examination. Liver mRNAs of lipogenesis-related genes (ACC1, FASN) expression was detected by qPCR (D and E). Intrahepatic inflammation was revealed by TNFα, CCL2, Cxcl1 with the qPCR method (F–H). Mice were tested for fibrillar collagen by Sirius red staining (200×) and expression of a-SMA and collagen 1a1 was determined by immunohistochemistry (400×) (I and J). Liver levels of fibrosis-related genes (TIMP-2 and Collagen-1) were determined by qPCR (J and K).</p>" ] ] 5 => array:8 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at1" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Health control (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>46) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">AH (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>24) \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Age (years), mean (SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">41.9<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>8.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">54.05<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>10.78 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Male \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">21 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">24 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">With portal hypertension \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">16 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">BMI, mean (SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">27.1<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>3.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">26.284<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>6.72 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Hemoglobin (g/L), mean (SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">136.24<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>20.64 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">95.04<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>30.83 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Platelets (×10<span class="elsevierStyleSup">9</span><span class="elsevierStyleHsp" style=""></span>L<span class="elsevierStyleSup">–1</span>), mean (SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">205<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>52.46 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">141.4<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>119.48 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Bilirubin (mmol/L), mean (SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">15.94<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>8.51 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">123.24<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>136.84 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">AST (IU/L), mean (SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">20.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>5.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">128.96<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>128.72 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">ALT (IU/L), mean (SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">21.3<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>7.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">75.66<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>126.36 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">GGT (IU/L), mean (SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">27.46<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>14.25 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">175.29<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>192.72 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">ALP (IU/L), mean (SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">76.51<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>40.35 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">164.61<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>106.02 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">ALB (g/L), mean (SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">44.8 (34.9–50.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">28.16<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>6.05 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">INR, mean (SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.12<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.26 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.64<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.40 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab3460601.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">Characterises of the patients.</p>" ] ] 6 => array:5 [ "identificador" => "upi0005" "tipo" => "MULTIMEDIAECOMPONENTE" "mostrarFloat" => false "mostrarDisplay" => true "Ecomponente" => array:2 [ "fichero" => "mmc1.doc" "ficheroTamanyo" => 17678 ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0015" "bibliografiaReferencia" => array:40 [ 0 => array:3 [ "identificador" => "bib0205" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Global status report on alcohol and health 2018" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:1 [ 0 => "World Health Organization" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Libro" => array:2 [ "fecha" => "2018" "editorial" => "World Health Organization" ] ] ] ] ] ] 1 => array:3 [ "identificador" => "bib0210" "etiqueta" => "2" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Acute kidney injury is an early predictor of mortality for patients with alcoholic hepatitis" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "J. 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