metricas
covid
Buscar en
Medicina Clínica
Toda la web
Inicio Medicina Clínica The potential impact and diagnostic value of inflammatory markers on diabetic fo...
Información de la revista
Vol. 162. Núm. 9.
Páginas e33-e39 (mayo 2024)
Compartir
Compartir
Descargar PDF
Más opciones de artículo
Visitas
532
Vol. 162. Núm. 9.
Páginas e33-e39 (mayo 2024)
Original article
Acceso a texto completo
The potential impact and diagnostic value of inflammatory markers on diabetic foot progression in type II diabetes mellitus: A case–control study
Impacto potencial y valor pronóstico de los marcadores inflamatorios en la progresión del pie diabético en diabetes mellitus tipo II. Un estudio de casos y controles
Visitas
532
Amal Ahmed Mohameda, Mona Abd Elmotaleb Husseinb, Ihab Nabil Hannac, Abdulqadir Jeprel Japer Nashwand,
Autor para correspondencia
anashwan@hamad.qa

Corresponding author.
, Mohamed Salehe, Wafaa Yousif Abdel Wahedf, Asmaa Mohamed Mohamed Mansourg, Mohamed Ramadan Ezz Al Arabh, Naglaa Fawzyi, Yasser Sakri, Hassan Shalbyj, Eman AlHussaink, Marwa Kamal Darwishl, Heba El-Osailym, Mervat Naguibn, Ahmed Ali Mohamedo, Waleed Farouk Mohamedp, Wael Hafezq
a Biochemistry Department, National Hepatology and Tropical Medicine Research Institute, Gothi, Egypt
b Internal Medicine Department, National Institute of Diabetes and Endocrinology, Egypt
c Surgical Department, National Institute of Diabetes and Endocrinology, Egypt
d Hamad Medical Corporation, P.O. Box 3050, Doha, Qatar
e Gastroentrology Department, National Hepatology and Tropical Medicine Research Institute, Egypt
f Public Health and Community Medicine, Faculty of Medicine, Fayoum University, Egypt
g Biochemistry Department, Faculty of Science, Fayoum University, Egypt
h Hepatology and Gastroenterology Department, Ahmed Maher Teaching Hospital, Egypt
i Clinical and Chemical Pathology Department, National Institute of Diabetes and Endocrinology, Egypt
j Internal Medicine Department, Faculty of Medicine, Misr University for Science and Technology, Egypt
k Clinical and Chemical Pathology Department, Faculty of Medicine, Cairo University, Egypt
l Chemistry Department (Biochemistry Branch), Faculty of Science, Suez University, Suez 43518, Egypt
m Biochemistry Department, Faculty of Pharmacy, Ahram Canadian University, Egypt
n Internal Medicine Department, Faculty of Medicine, Cairo University, Egypt
o Intensive Care Unit, Theodor Bilharz Research Institute, Giza, Egypt
p Healthpoint Hospital, Abu Dhabi, United Arab Emirates
q Internal Medicine Department, National Research Centre, Elbohoos Street, Dokki, Giza, Egypt
Ver más
Este artículo ha recibido
Información del artículo
Resumen
Texto completo
Bibliografía
Descargar PDF
Estadísticas
Figuras (1)
Tablas (5)
Table 1. Demographic, clinical, and laboratory data of patients in the diabetic foot and diabetic control patients’ groups.
Table 2. Forward stepwise logistic regression analysis predictors of diabetic foot.
Table 3. Correlation coefficients of CRP, IL-6, TNF, and HbA1c with clinical risk factors of diabetic foot patients.
Table 4. The correlation of diabetic foot ulcer grade, size infection with TNF, CRP, and HbA1c.
Table 5. Curve analysis of the receiver operating inflammatory markers’ characteristics of HbA1c for detection of diabetic foot.
Mostrar másMostrar menos
Suplemento especial
Este artículo forma parte de:
Advancing Evidence-Based Clinical Practice: Harnessing the Power of Systematic Reviews and Meta-Analysis

Editado por: Dr. Roy Rillera Marzo - International Medical School, Management and Science University, Shah Alam, Selangor, Malaysia

Más datos
Abstract
Background

The wound-healing process in diabetic foot is affected by pro and anti-inflammatory markers, and any disruption in the inflammatory reaction interferes with tissue homeostasis, leading to chronic non-wound healing.

Aim

This study aimed to determine the diagnostic value and effect of CRP, IL-6, TNF, and HbA1c on initiation the and progression of diabetic foot ulcers.

Method

ELISA was used to quantify IL-6, TNF, CRP, and HbA1c in 205 patients with diabetes, and 105 were diabetic foot free. The prevalence and progression of diabetic foot were also evaluated. The area under the curve (AUC) was calculated using the receiver operating characteristic (ROC) curve to analyze the predictive values. Forward stepwise logistic regression analysis was used to compute the odds ratio (OR) and the corresponding 95% confidence intervals (CIs).

Results

CRP, IL-6, and FBS were found to be significant predictors of diabetic foot (OR=1.717, 95% CI=1.250–2.358, P=0.001; OR=1.434, 95% CI=1.142–1.802, P=0.002; and OR=1.040, 95% CI=1.002–1.080, P=0.037), respectively. The AUCs for CRP, IL-6, and HbA1c in predicting diabetic foot were 0.839, 0.728, and 0.834, respectively, demonstrating a good predictive value for each diagnostic marker.

Conclusion

The current study demonstrated that IL-6, CRP, and HbA1c may be useful biomarkers to indicate diabetic foot progression. Furthermore, our findings showed a substantial relationship between CRP and HbA1c in individuals with diabetic foot conditions.

Keywords:
Diabetes
CRP
TNF
IL-6
Foot ulcer
Inflammatory cytokine
HbA1c
Resumen
Antecedentes

Dado que los marcadores inflamatorios pueden influir en la capacidad del pie diabético para curar heridas, la interrupción de la respuesta inflamatoria puede dar lugar a una ausencia de curación crónica de las heridas.

Objetivo

Determinar el valor predictivo de PCR, IL-6, TNF y HbA1C en la identificación de úlceras de pie diabético y su progresión.

Método

Se utilizó el método ELISA para cuantificar IL-6, TNF, PCR y HbA1C en 205 diabéticos, y 105 no tenían pie diabético. Se evaluó la prevalencia y la progresión del pie diabético.

Resultados

Se observó un marcado aumento en CRP, HbA1C e IL-6 entre las personas con pie diabético. Los OR para PCR, IL-6 y HbA1C: 1,359 (IC 95%=1,189–1,554, p=0,001), 1,245 (IC 95%=1,091–1,420, p=0,001) y 1,866 (IC 95%=1.238–2.814, p=0.003), respectivamente. Las áreas bajo la curva para CRP, IL-6 y HbA1C en la predicción del pie diabético fueron 0,839, 0,728 y 0,834, respectivamente, lo que demuestra un buen valor predictivo para cada marcador de diagnóstico.

Conclusión

El presente estudio demostró que IL-6, CRP y Hb A1C pueden ser biomarcadores útiles para el pronóstico del pie diabético. Además, nuestros hallazgos muestran una relación sustancial entre PCR y Hb A1C para personas con pie diabético.

Palabras clave:
Diabetes
PCR
TNF
IL-6
Úlcera del pie
Citocina inflamatoria
HbA1C
Texto completo
Introduction

Diabetes mellitus (DM) is associated with morbidity and mortality. This condition is classified as a metabolic disorder, which is characterized by elevated levels of glucose in the bloodstream. Diabetes mellitus has a variety of complications, including microvascular and macrovascular diseases.1 Neuropathy is considered to be the most severe complication of microvascular diseases, and diabetic foot ulcers are one of the most common complications. The global prevalence and incidence of diabetes mellitus have increased, leading to the recognition of diabetic foot as a disease that poses a significant burden on a global scale. Foot ulcers in individuals with diabetes can cause significant harm to the underlying tissues, including damage to nerves and blood vessels.2

The occurrence of foot ulcers is attributed to multiple factors, including alterations in the bone anatomy of the foot, neuropathy, and atherosclerosis. Such factors are observed more frequently in individuals with diabetes, as reported in several studies.3,4 According to a reliable source,5 diabetic foot ulcers result in a greater number of hospitalizations than any other complication associated with diabetes.

The formation of persistent wounds is an obstacle for the immune system. The wound healing process is significantly influenced by anti-inflammatory and pro-inflammatory cytokines, and any disruption of the immune system can result in non-healing of the diabetic foot. This has been documented in literature.6 Inflammatory markers, such as C-reactive protein (CRP), interleukin-6 (IL-6), and tissue necrosis factor (TNF), modulate insulin signaling pathways, causing insulin resistance and type II diabetes. A previous study found a positive relationship between elevated CRP levels and the incidence of diabetes mellitus incident.7

Prolonged elevation of blood glucose levels results in increased macrophage generation, thereby augmenting the secretion of TNF and cytokines, resulting in the development of insulin resistance among individuals with diabetes.8 The cytokines TNF- and IL-6 are vital for the advancement of diabetic foot, as documented in previous research.9 Furthermore, it was observed that the CRP is primarily secreted through the influence of IL-6 and TNF. The interrelationships among these biomarkers have been elucidated in various studies.7,10 However, the diagnostic significance of this finding remains unclear.

Glycosylated hemoglobin (HbA1c) is considered a primary indicator for the surveillance of blood glucose levels. The method in question is a means of monitoring blood glucose levels in diabetes, and provides insight into the levels of glucose in the bloodstream over an extended period of time, typically spanning several weeks. This approach is widely regarded as the most critical method for monitoring the blood glucose levels.11 Elevated levels of HbA1c have the potential to serve as prognostic indicators for the onset of peripheral neuropathy.9 Therefore, in this study, we examined the diagnostic value of IL-6, CRP, TNF, and HbA1c as of diabetic foot progression in patients with DM.

Materials and methods

This study enrolled 205 patients with diabetes from the outpatient department of the Diabetes and Endocrinology National Institute in Egypt. The present study underwent an ethical review and received approval from the ethics department of (General Organization of Teaching Hospitals and Institutions). The selection of participants was based on their clinical, biochemical, and serological characteristics. The study design was a case–control study; the study population was stratified into two distinct cohorts: diabetic foot ulcer cohort (n=100) and diabetic control cohort (n=105). The patients in the case group were diabetic patients who were clinically diagnosed with diabetic foot ulcers, whereas the diabetic control group included diabetic patients clinically diagnosed as free of diabetic foot ulcer, matching the case group. Patients without diabetes were excluded from this study.

Laboratory analysis

A sample of 5ml of venous blood was collected. Fasting glucose, random glucose, total cholesterol, high-density lipoproteins, triglycerides, urea, and creatinine levels were measured using an Olympus AU400 analyzer (Olympus, Tokyo, Japan), an automated biochemistry analyzer. Complete blood count was analyzed using an automated Coulter Counter, while the inflammatory markers CRP, TNF, and IL-6 were measured using enzyme-linked immunosorbent assay (ELIZA). The concentrations of these items were measured using an ELISA reader (Stat Fax 3300; Awareness Technologies, FL, USA) according to the manufacturer's instructions.

Statistical analysis

The data required for the study were collected and verified for precision prior to being encoded and subjected to analysis using SPSS software version18. Basic descriptive statistics, such as means and standard deviations, were computed for quantitative data, whereas qualitative data were presented using numerical values and percentages. The statistical analysis involved the utilization of the t-test to assess qualitative data from cases and controls, and the chi-square test to compare qualitative variables. Correlation coefficient (r) was used to denote Pearson's correlation. Multiple regression analysis was employed to identify predictors. A receiver operating characteristic (ROC) curve was developed to assess the efficacy of a marker in detecting cases. The sensitivity and specificity were evaluated at predetermined thresholds. A significance level of 0.05 was deemed appropriate for determining statistical significance.

ResultsDemographic, clinical, and laboratory characteristics

The study cohort was stratified into two distinct groups: a diabetic foot group and a non-diabetic foot group. The groups were subsequently evaluated based on demographics, such as sex, age, and BMI. The sex distribution did not differ significantly between the groups (P=0.6). The mean age of the group of patients with diabetic foot was 48.24±12.316 years, whereas the mean age of the diabetic control group was 48.30±10.304 years. No evident differences were observed between the groups. The diabetic foot group exhibited non-significantly elevated BMI compared to the diabetic control group, as indicated in Table 1.

Table 1.

Demographic, clinical, and laboratory data of patients in the diabetic foot and diabetic control patients’ groups.

Variables  Diabetic foot ulcer patients (n=100)  Diabetic control patients (n=105)  P-value 
Sex F/M, n (%)  39 (39%)  44 (41.9%)  0.672 
Age (years)  48.24±12.316  48.30±10.304  0.972 
BMI (kg/m2)  29.31±4.8  28.03±4.7  0.057 
CBC
WBC (cell/μ)  10008.00±7.35  3215.891±4.35  <0.001 
MCH  30.483±3.35  31.248±2.16  0.053 
Lymphocytes (cell/μ)  23.821±4.2027  36.810±6.8600  <0.001 
HbA1c (%)  7.068±1.64  4.867±1.66  <0.001 
FBS (mg/dl)  160.95±45.219  129.33±20.220  <0.001 
PP (mg/dl)  251.40±72.112  166.89±34.419  <0.001 
INR  1.18±0.13  1.06±0.089  <0.001 
Creatinine  1.01±0.19  0.96±0.16  0.039 
Urea (mmol/l)  34.79±10.67  29.31±8.44  <0.001 
Cholesterol  172.78±41.0  148.19±18.4  <0.001 
TG (mg/dl)  189.8±24.7  147.3±22.96  <0.001 
HDL (mg/dl)  32.98±9.9  43.7±8.5  <0.001 
LDL (mg/dl)  126.75±27.8  107.8±10.8  <0.001 
TNF (ng/ml)  31.49±12.34  26.7±4.44  <0.001 
IL-6 (pg/ml)  28.36±9.7  20.78±5.8  <0.001 
CRP (ng/ml)  17.4±12.4  5.19±3.35  <0.001 
Grade of ulcer    –  – 
50 (50.0%)     
26 (26.0%)     
24 (24.0%)     

Data were means±SD or proportions for categorical variables. WBCs, white blood cells; MCH, mean corpuscular hemoglobin; HbA1c, glycosylated hemoglobin; FBG, fasting plasma glucose; PP, postprandial blood glucose; INR, International Normalized Ratio; TG, triglyceride; LDL, low density lipoprotein; HDL, high density lipoprotein; TNF, tumor necrosis factor; IL-6, interleukin 6; CRP, C-reactive protein.

The study found that the levels of WBC, creatinine, and urea were noticeably elevated in the diabetic foot group. The study findings indicated that the levels of HbA1c, postprandial blood glucose, and CRP were significantly elevated in the diabetic foot group compared to those in the diabetic control group. The study findings indicated that the diabetic foot group exhibited elevated levels of LDL, triglycerides, and total cholesterol compared to the diabetic control group. Furthermore, the levels of HDL, MCH, FBG, and lymphocytes were significantly decreased (Table 1).

Association of diabetic foot with some independent factors

Forward stepwise logistic regression analysis was used to ascertain the predictors of diabetic foot. The results revealed that high levels of FBS, IL-6, CRP, and TG were significantly associated with diabetic foot with odds ratios of OR=1.04; 95% CI 1.002–1.080, OR=1.43; 95% CI 1.142–1.802, OR=1.71; 95% CI 1.25–2.35 and OR=1.10; 95% CI 1.045–1.16, respectively. In contrast, high levels of HCT and HDL were significantly associated with protection against diabetic foot, as shown in Table 2.

Table 2.

Forward stepwise logistic regression analysis predictors of diabetic foot.

Predictors  B  P value  OR  95% CI for OR
        Lower  Upper 
FBS  0.040  0.037  1.040*  1.002  1.080 
IL-6  0.361  0.002  1.434*  1.142  1.802 
CRP  0.540  0.001  1.717*  1.250  2.358 
HCT  −0.472  0.001  0.624*  0.468  0.831 
TG  0.099  0.000  1.104*  1.045  1.167 
HDL  −0.228  0.005  0.796*  0.678  0.934 
Constant  −9.109  0.126  0.000     

P and r values were calculated using Pearson correlation test at 95% confidence intervals. *P<0.05.

Correlation analysis

The results indicated a noteworthy positive correlation between TNF and IL-6 [r=0.767, P=0.00] and urea [r=0.587, P=0.001]. A negative correlation was observed between TNF and MCH (r=−0.194, P=0.053) and lymphocytes (r=−0.205, P=0.041). The results indicated a significant positive correlation between IL-6 and urea (r=0.483, P=0.001), as well as significant negative correlations between IL-6 and both WBC (r=−0.206, P=0.039) and RBC (r=−0.199, P=0.047). The results indicated that there was a statistically significant positive correlation between CRP and various biomarkers, including HbA1c (r=0.226, P=0.24), MCV (r=0.205, P=0.041), LDL (r=0.406, P=0.001), TC (r=0.447, P=0.001), and TG (r=0.342, P=0.001). Additionally, HbA1c levels were significantly positively correlated with FBG [r=0.637, P=0.001], PP [r=0.661, P=0.001], creatinine [r=0.260, P=0.009], and RBC [r=0.308, P=0.002], as presented in Table 3. The findings suggest a lack of statistically significant correlation between ulcer severity, ulcer size, and infection with CRP, IL-6, and HbA1c in individuals with diabetic foot, as presented in Table 4.

Table 3.

Correlation coefficients of CRP, IL-6, TNF, and HbA1c with clinical risk factors of diabetic foot patients.

  TNF  IL-6  CRP  HbA1c  FBS  PP  Creatinine  Urea  RBC  WBC  MCV  MCH  Lymphocyte  Chol  TG  LDL 
TNF
R  0.767**  0.083  −0.113  0.130  0.014  −0.044  0.587**  −0.112  −0.095  0.020  −0.194  −0.205*  0.053  0.016  0.090 
P-value    0.000  0.412  0.262  0.197  0.889  0.663  0.000  0.265  0.345  0.843  0.053  0.041  0.600  0.873  0.373 
IL-6
R  0.767**  0.101  −0.111  0.012  −0.005  −0.002  0.483**  −0.199*  −0.206*  0.126  0.000  −0.123  0.052  0.033  0.095 
P-value  0.000    0.315  0.272  0.909  0.964  0.982  0.000  0.047  0.039  0.210  0.997  0.224  0.610  0.743  0.348 
CRP
R  0.083  0.101  0.226*  0.102  0.133  −0.148  −0.169  0.135  0.006  0.205*  −0.060  0.031  0.447**  0.342**  0.406** 
P-value  0.412  0.315    0.024  0.312  0.186  0.141  0.092  0.181  0.951  0.041  0.556  0.760  0.000  0.001  0.000 
HbA1c
R  −0.113  −0.111  0.226*  0.637**  0.661**  0.260**  −0.008  0.308**  0.078  −0.057  −0.206*  0.186  0.164  −0.037  0.075 
P-value  0.262  0.272  0.024    0.000  0.000  0.009  0.939  0.002  0.440  0.572  0.040  0.064  0.104  0.715  0.456 

P and r values were calculated using Pearson correlation test at 95% confidence intervals.

*

P<0.05.

**

P<0.001.

Table 4.

The correlation of diabetic foot ulcer grade, size infection with TNF, CRP, and HbA1c.

Diabetic foot  IL-6TNFCRPHbAIC
  Mean  SD  Mean  SD  Mean  SD  Mean  SD 
Grades of ulcer
28.33  8.841  31.72  12.833  20.0684  14.36821  7.080  1.5426 
31.23  11.255  34.27  13.012  13.3431  8.26010  6.727  1.8205 
25.33  9.211  28.00  9.996  16.3208  12.80007  7.413  1.6308 
P value  0.1000.1980.0850.399
Size of ulcer
<4cm  28.67  9.106  30.65  10.478  17.6910  11.56715  6.971  1.4230 
≥4cm  28.04  10.434  32.37  14.093  17.1388  14.21868  7.169  1.8499 
P value  0.7470.4890.8310.547
Bacterial infection
Osteomyelitis  26.43  9.209  23  29.22  17.5522  13.33386  7.774  1.8543 
Subcutaneous  28.33  9.993  45  31.47  16.3422  11.19711  6.840  1.3864 
Superficial  29.79  9.791  32  33.16  18.8419  14.87200  6.881  1.7168 
P value  0.4560.5110.7060.061

All data are reported as mean±SD.

ROC curve analysis

The presence of diabetic foot is significantly linked to elevated levels of IL-6, CRP, and HbA1c. The diagnostic accuracy of CRP, IL-6, and HbA1c in predicting diabetic foot was evaluated using the receiver operating characteristic curve. The results indicated that the areas under the curve for CRP, IL-6, and HbA1c were 0.839, 0.728, and 0.834, respectively, indicating a favorable predictive value for each diagnostic marker. The optimal threshold levels for CRP, IL-6, and HbA1c in predicting diabetic foot were determined to be 7.5ng/ml (with a sensitivity of 82% and specificity of 85%), 22.5ng/ml (with a sensitivity of 67% and specificity of 58.0%), and 6.15ng/ml (with a sensitivity of 73% and specificity of 87%), as presented in Table 5 and Fig. 1A. The performance of the stepwise model was tested after the probability was reduced. ROC curve was done for probability variable saved from the model. The AUC was 0.985 (0.973–0.997) and the P-value ˂0.001, revealing a very good performance of the stepwise model (Fig. 1B).

Table 5.

Curve analysis of the receiver operating inflammatory markers’ characteristics of HbA1c for detection of diabetic foot.

Variables  Cut off point  Sensitivity (%)  Specificity (%)  AUC  P-value 
HbA1c  6.15  73  87  0.834 (0.776–0.892)  0.000 
TNF  28.5  50  54  0.571 (0.487–0.656)  0.081 
IL-6  22.5  67  58  0.728 (0.660–0.796)  0.000 
CRP  7.5  82  85  0.839 (0.776–0.901)  0.000 

AUC, area under the curve; CRP, C-reactive protein; TNF, tumor necrosis factor; IL-6, interleukin 6; HbA1c, glycated hemoglobin.

Fig. 1.

Receiver operating characteristic curve. (A) Receiver operating characteristic curve shows the specificity and sensitivity of inflammatory markers (CRP, IL-6, and TNF) and HbA1c for diabetic foot prediction. CRP, C-reactive protein; TNF, tumor necrosis factor; IL-6, interleukin 6; HbA1c, glycated hemoglobin. (B) ROC curve for model performance.

(0.09MB).
Discussion

Peripheral neuropathy, commonly referred to as diabetic foot, is a frequently observed outcome in diabetes mellitus. Diabetic foot ulcers are a leading cause of morbidity and mortality. Lower limb amputation is a consequence of this condition.10 Timely detection of foot ulcers is crucial for mitigating the likelihood of amputation. We determined the diagnostic significance of proinflammatory markers, namely CRP, IL-6, and HbA1c, in distinguishing diabetic foot from non-diabetic foot. Correlational analyses were performed to investigate the association between the aforementioned biomarkers and multiple factors.

The deleterious effects of diabetes on the kidneys are widely recognized, as they can result in impaired renal function or even renal failure if left unaddressed.12 The findings of this investigation indicate that, within the population of individuals with diabetic foot, an appreciable increase in the levels of urea and creatinine is a contributing factor to the deterioration of renal function. Furthermore, the outcomes of the regression analysis indicated a link between creatinine levels and the incidence of foot ulcers. Additionally, this study has shed light on the positive correlation between urea concentrations and cytokines such as IL-6 and TNF. The involvement of cytokines in inflammation and subsequent protein catabolism has been found to contribute to elevated urea synthesis, as reported previously.13

Dubsky et al. identified poor glycemic control as a contributing factor to diabetic foot.14 According to a recent study, HbA1c is a significant factor in the development of foot ulcers.15 Elevated HbA1c levels have the potential to serve as valuable indicators for the onset of peripheral neuropathy. Consequently, enhanced glycemic regulation can facilitate recovery from injury. This assertion is supported by reference.9 The findings of our study indicate a statistically significant elevation in HbA1c levels among patients with diabetic foot compared to those with diabetes but without foot complications. A direct association was observed between HbA1c and RBC, whereas an inverse association was noted between HbA1c and MCH. This discovery corresponds to a study conducted by Koga et al.16 Additionally, a direct association was observed between HbA1c and FBG, which was validated by Khan et al.’s (2016) research.17 The study conducted by Ketema et al.18 provided evidence of a positive correlation between HbA1c and the level of blood glucose in the postprandial period, as well as the level of blood glucose in the fasting period. This finding supports the notion that HbA1c levels are positively associated with both FBG and PPBG levels. Moreover, a positive correlation was seen between HbA1c and creatinine levels, which was substantiated by a study conducted by Farasat et al.19 Unregulated blood glucose levels have a significant effect on the renal system, which may result in gradual deterioration of the glomerular filtration rate (GFR) and the development of progressive renal ailment.12 The wound-healing process is significantly affected by pro- and anti-inflammatory cytokines. Any disruption in the immune system can have adverse effects on wound healing, ultimately resulting in diabetic foot disease. This highlights the crucial role of cytokines in the wound-healing process.20 Proinflammatory cytokines, namely TNF-β and IL-6, are significant contributors to the advancement of diabetic foot, as per previous research.9 A notable elevation in TNF levels has been observed in individuals with diabetic foot conditions compared to those with diabetes mellitus, but without foot ulcers. El-Sheikh et al. provided support for this finding, as they noticed a higher concentration of TNF in individuals with diabetic foot than in controls.10 The current study revealed a significant elevation of TNF in diabetic foot ulcerative patients compared with diabetic control patients, but Herder et al. observed that TNF did not exhibit any correlation with diabetic peripheral neuropathy.21 This finding contradicts the results of Hussein et al., who reported a positive correlation between elevated TNF levels and diabetic neuropathy severity.22

The current study revealed a positive correlation between TNF and urea levels, which is consistent with the findings of Ramseyer et al.23. Their study demonstrated that elevated TNF levels lead to an increase in plasma urea levels. Simultaneously, a negative correlation was observed between TNF and lymphocytes. The aforementioned observation was corroborated by Ulich et al. (1989), who reported the occurrence of TNF-induced lymphopenia.24 Furthermore, a negative correlation was observed between TNF and MCH, consistent with the findings of Kim et al. (2012). According to their study, patients undergoing anti-TNF therapy experience an increase in hemoglobin levels as a result of effective treatment.25

IL-6 is a pro-inflammatory cytokine that augments the likelihood of advancement of foot ulcers.10 In this study, IL-6 concentrations were observed in the diabetic foot cohort compared to those in the diabetic control cohort. Furthermore, a stepwise logistic regression model confirmed that IL-6 was a significant predictor of diabetic foot in patients with diabetes. This finding is consistent with the research conducted by Zubair et al. (2012), who demonstrated a powerful link between IL-6 and urea. Furthermore, a negative correlation was observed between IL-6 and RBC, as previously reported.6 McCranor et al. (2013) provided evidence to support this finding, indicating that the reduction in RBC levels was attributed to inflammation induced by IL-6.26 A weak negative correlation was observed between IL-6 levels and WBC count. It is widely acknowledged that white blood cell (WBCs) levels increase in response to inflammation and specific illnesses.27 This finding contradicts the results of Korkmaz et al. (2018), who reported that increased IL-6 levels are positively associated with elevated WBC counts.28 Furthermore, a robust positive association was detected between the proinflammatory cytokines, TNF and IL-6. Research has demonstrated that diabetic patients exhibit elevated levels of IL-6 and TNF.29

The cytokines IL-6 and TNF are primarily responsible for the release of CRP.30 Elevated CRP levels have been observed in individuals with diabetic foot compared to those in the diabetic control cohort. A previous investigation established a correlation between elevated CRP levels and the onset of diabetic foot, as evidenced by reference.31 The results of our stepwise logistic regression analysis indicated that CRP level is a predictor of the development of diabetic foot. Furthermore, a direct association was observed between CRP levels and LDL, TG, and cholesterol levels. Dongway et al. (2015) provided evidence to support this finding and demonstrated a positive correlation between CRP and LDL levels.30 The present author concurs with Kumira et al.’s (2021) findings, which indicate a positive association between CRP and LDL, as well as total cholesterol.32 Zubair et al. (2012) reported a correlation between triglyceride (TG) levels. A positive correlation was observed between CRP levels and mean corpuscular volume. Furthermore, a direct relationship exists between HbA1c and CRP. This, which is supported by Seo et al. (2021), who reported a strong positive correlation between high CRP levels and poor blood glucose control.33 In contrast, Bahrami et al. (2007) reported no significant correlation between HbA1c and CRP, as stated in reference.34

Receiver operating characteristic (ROC) curves were utilized to investigate the association between the progression of diabetic foot and the biomarkers IL-6, CRP, and HbA1c. The results indicated that CRP exhibited superior specificity and sensitivity compared to the other markers. The results of this investigation demonstrated that CRP, IL-6, and HbA1c possess significant diagnostic utility as markers, exhibiting superior AUC, sensitivity, and specificity in distinguishing diabetic foot ulcers from non-diabetic foot ulcers. According to previous research, optimal specificity and sensitivity can be achieved by utilizing a minimum of three markers in combination.28 The optimal threshold levels for CRP, IL-6, and HbA1c in the diagnosis of diabetic foot ulcers were 7.5, 22.5, and 6.15ng/ml, respectively. The confirmed role of CRP, IL-6, and HbA1c as markers for diabetic foot progression allows their utilization in a scoring system designed to assess the severity of foot ulcers.

Limitations

The small sample size and unknown duration of ulcers and infections are among the limitations of the present study.

Conclusion

Our results validated the significance of IL-6, CRP, TNF, and HbA1c as potential biomarkers for the diagnosis and prediction of diabetic foot. Furthermore, a positive correlation was observed between TNF and CRP levels. In addition, a significant association was observed between CRP and HbA1c, indicating a positive correlation between the two variables. The study findings indicated that IL-6, CRP, and HbA1c were the most significant factors that facilitated the progression of foot ulcers. However, TNF was not a distinguishing factor between diabetic and non-diabetic foot patients. The utilization of a combination of these biomarkers has the potential to effectively manage the likelihood of lower-limb amputation. This method is considered a straightforward and efficient approach for identifying patients with diabetes who are at a high risk of developing diabetic foot.

Ethical considerations

This study was performed in accordance with the ethics guidelines and approved by the ethics committee of Affiliated GOTHI (ethic approval No: IDE00290).

Informed consent

Written informed consent was obtained from all study participants.

Funding

Qatar library will cover the cost of open access publication of this study.

Conflict of interest

Authors declare no conflict of interest.

References
[1]
S.A.Y. Ahmadi, R. Shirzadegan, N. Mousavi, E. Farokhi, M. Soleimaninejad, M. Jafarzadeh.
Designing a logistic regression model for a dataset to predict diabetic foot ulcer in diabetic patients: high-density lipoprotein (HDL) cholesterol was the negative predictor.
J Diabetes Res, 2021 (2021), pp. 5521493
[2]
A.A. Amour, N. Chamba, J. Kayandabila, I.A. Lyaruu, D. Marieke, E.R. Shao, et al.
Prevalence, patterns, and factors associated with peripheral neuropathies among diabetic patients at tertiary hospital in the Kilimanjaro region: descriptive cross-sectional study from North-Eastern Tanzania.
Int J Endocrinol, 2019 (2019), pp. 5404781
[3]
N. Amin, J. Doupis.
Diabetic foot disease: from the evaluation of the “foot at risk” to the novel diabetic ulcer treatment modalities.
World J Diabetes, 7 (2016), pp. 153-164
[4]
C.C. Naves.
The diabetic foot: a historical overview and gaps in current treatment.
Adv Wound Care (New Rochelle), 5 (2016), pp. 191-197
[5]
J.B. Rice, U. Desai, A.K. Cummings, H.G. Birnbaum, M. Skornicki, N.B. Parsons.
Burden of diabetic foot ulcers for medicare and private insurers.
Care, 37 (2014), pp. 651-658
[6]
M. Zubair, A. Malik, J. Ahmad.
Plasma adiponectin, IL-6, hsCRP, and TNF-α levels in subject with diabetic foot and their correlation with clinical variables in a North Indian tertiary care hospital.
Indian J Endocrinol Metab, 16 (2012), pp. 769-776
[7]
C. Phosat, P. Panprathip, N. Chumpathat, P. Prangthip, N. Chantratita, N. Soonthornworasiri, et al.
Elevated C-reactive protein, interleukin 6, tumor necrosis factor alpha and glycemic load associated with type 2 diabetes mellitus in rural Thais: a cross-sectional study.
BMC Endocr Disord, 17 (2017), pp. 44
[8]
D. Ristikj-Stomnaroska, V. Risteska-Nejashmikj, M. Papazova.
Role of inflammation in the pathogenesis of diabetic peripheral neuropathy.
Open Access Maced J Med Sci, 7 (2019), pp. 2267-2270
[9]
G. Casadei, M. Filippini, L. Brognara.
Glycated hemoglobin (HbA1c) as a biomarker for diabetic foot peripheral neuropathy.
[10]
W.M. El Sheikh, I.E. Alahmar, G.M. Salem, M.A. El-Sheikh.
Tumor necrosis factor alpha in peripheral neuropathy in type 2 diabetes mellitus.
Egypt J Neurol Psychiatry Neurosurg, 55 (2019), pp. 1-7
[11]
Z.Y. Zhou, Y.K. Liu, H.L. Chen, H.L. Yang, F. Liu.
HbA1c and lower extremity amputation risk in patients with diabetes: a meta-analysis.
Int J Low Extrem Wounds, 14 (2015), pp. 168-177
[12]
S.M. Doshi, A.N. Friedman.
Diagnosis and management of type 2 diabetic kidney disease.
Clin J Am Soc Nephrol, 12 (2017), pp. 1366-1373
[13]
K.L. Thomsen, N. Jessen, A.B. Møller, N.K. Aagaard, H. Grønbæk, J.J. Holst, et al.
Regulation of urea synthesis during the acute-phase response in rats.
Am J Physiol Gastrointest Liver Physiol, 304 (2013), pp. G680-G686
[14]
M. Dubský, A. Jirkovska, R. Bem, V. Fejfarova, J. Skibova, N.C. Schaper, et al.
Risk factors for recurrence of diabetic foot ulcers: prospective follow-up analysis in the Eurodiale subgroup.
Int Wound J, 10 (2013), pp. 555-561
[15]
S.K. Shahi, A. Kumar, S. Kumar, S.K. Singh, S.K. Gupta, T.B. Singh.
Prevalence of diabetic foot ulcer and associated risk factors in diabetic patients from North India.
J Diabet Foot Complicat, 4 (2012), pp. 83-91
[16]
M. Koga, S. Morita, H. Saito, M. Mukai, S. Kasayama.
Association of erythrocyte indices with glycated haemoglobin in pre-menopausal women.
Diabet Med, 24 (2007), pp. 843-847
[17]
S.I. Sherwani, H.A. Khan, A. Ekhzaimy, A. Masood, M.K. Sakharkar.
Significance of HbA1c test in diagnosis and prognosis of diabetic patients.
Biomark Insights, 11 (2016), pp. 95-104
[18]
E.B. Ketema, K.T. Kibret.
Correlation of fasting and postprandial plasma glucose with HbA1c in assessing glycemic control: systematic review and meta-analysis.
Arch Public Health, 73 (2015), pp. 43
[19]
T. Farasat, S. Sharif, S. Naz, S. Fazal.
Significant association of serum creatinine with HbA1c in impaired glucose tolerant Pakistani subjects.
Pak J Med Sci, 31 (2015), pp. 991-994
[20]
A. Tuttolomondo, C. Maida, A. Pinto.
Diabetic foot syndrome as a possible cardiovascular marker in diabetic patients.
J Diabetes Res, 2015 (2015), pp. 268390
[21]
C. Herder, M. Lankisch, D. Ziegler, W. Rathmann, W. Koenig, T. Illig, et al.
Subclinical inflammation and diabetic polyneuropathy: MONICA/KORA Survey F3 (Augsburg, Germany).
Diabetes Care, 32 (2009), pp. 680-682
[22]
G. Hussain, S.A. Rizvi, S. Singhal, M. Zubair, J. Ahmad.
Serum levels of TNF-α in peripheral neuropathy patients and its correlation with nerve conduction velocity in type 2 diabetes mellitus.
Diabetes Metab Syndr, 7 (2013), pp. 238-242
[23]
V.D. Ramseyer, J.L. Garvin.
Tumor necrosis factor-α: regulation of renal function and blood pressure.
Am J Physiol Renal Physiol, 304 (2013), pp. F1231-F1242
[24]
T.R. Ulich, J. del Castillo, R.X. Ni, N. Bikhazi, L. Calvin.
Mechanisms of tumor necrosis factor alpha-induced lymphopenia, neutropenia, and biphasic neutrophilia: a study of lymphocyte recirculation and hematologic interactions of TNF alpha with endogenous mediators of leukocyte trafficking.
J Leukoc Biol, 45 (1989), pp. 155-167
[25]
K.I. Ki-Jo, C.H. Chul-Soo.
Anemia of chronic disease in ankylosing spondylitis: improvement following anti-TNF therapy.
Archives of rheumatology., 27 (2012), pp. 090-097
[26]
B.J. McCranor, J.M. Langdon, O.D. Prince, L.K. Femnou, A.E. Berger, C. Cheadle, et al.
Investigation of the role of interleukin-6 and hepcidin antimicrobial peptide in the development of anemia with age.
Haematologica, 98 (2013), pp. 1633-1640
[27]
P.P. Chmielewski, B. Strzelec.
Elevated leukocyte count as a harbinger of systemic inflammation, disease progression, and poor prognosis: a review.
Folia Morphol (Warsz), 77 (2018), pp. 171-178
[28]
P. Korkmaz, H. Koçak, K. Onbaşı, P. Biçici, A. Özmen, C. Uyar, et al.
The role of serum procalcitonin, interleukin-6, and fibrinogen levels in differential diagnosis of diabetic foot ulcer infection.
J Diabetes Res, 2018 (2018), pp. 7104352
[29]
K. Kim, A. Mahajan, K. Patel, S. Syed, A.M. Acevedo-Jake, V.A. Kumar.
Materials and cytokines in the healing of diabetic foot ulcers.
Adv Therap, 4 (2021), pp. 2100075
[30]
A.C. Dongway, A.S. Faggad, H.Y. Zaki, B.E. Abdalla.
C-reactive protein is associated with low-density lipoprotein cholesterol and obesity in type 2 diabetic Sudanese.
Diabetes Metab Syndr Obes, 8 (2015), pp. 427-435
[31]
F. Hadavand, A. Amouzegar, H. Amid.
Pro-calcitonin, erythrocyte sedimentation rate and C-reactive protein in predicting diabetic foot ulcer characteristics; a cross sectional study.
Arch Acad Emerg Med, 7 (2019), pp. 37
[32]
S. Kumari, B. Singh.
Assessment of correlation of serum high-sensitive C-reactive protein, urinary albumin-to-creatinine ratio, and lipid profile in diabetics.
J Pharm Bioallied Sci, 13 (2021), pp. S1569-S1572
[33]
Y.H. Seo, H.Y. Shin.
Relationship between hs-CRP and HbA1c in diabetes mellitus patients: 2015–2017 Korean National Health and Nutrition Examination Survey.
Chonnam Med J, 57 (2021), pp. 62-67
[34]
A. Bahrami, N. Zarghami, L. Khajehali.
Association between C-reactive protein and HbA1c among patients with type 2 diabetes mellitus.
Iran J Diabet Metab, 6 (2007), pp. 263-270
Copyright © 2024. The Author(s)
Descargar PDF
Opciones de artículo
es en pt

¿Es usted profesional sanitario apto para prescribir o dispensar medicamentos?

Are you a health professional able to prescribe or dispense drugs?

Você é um profissional de saúde habilitado a prescrever ou dispensar medicamentos

Quizás le interese:
10.1016/j.medcli.2021.06.018
No mostrar más