C-peptide: A predictor of cardiovascular mortality in subjects with established atherosclerotic disease

The association of serum C-peptide with the risk of cardiovascular events: a meta-analysis and systematic review

BACKGROUND

C-peptide is considered a peptide with active function in the body, which can affect people's health. However, the results of previous studies on the possible association of C-peptide with the risk of cardiometabolic disorders have not been fully understood. This systematic review and meta-analysis aimed to investigate the association between serum C-peptide level and the risk of cardiovascular disease (CVD) events.

METHODS

The various important databases, including PubMed, Scopus, and Web of Science, were searched comprehensively to November 2022 to identify the relevant studies. The HR(95% CI) or OR(95% CI) for observational studies were extracted and converted into log HR or log OR and their standard deviation(SD) was computed. A random-effects model with an inverse variance weighting method was conducted, to calculate the pooled effect size.

RESULTS

Sixteen observational studies, including one case-control study, eight cohort studies, and seven cross-sectional studies were included in the current meta-analysis. The sample size ranged from 90 to 7030, with an age range from 12 to 85 years. During the follow-up time (ranging from 5 to 17 years), 4852 CVD events occurred. Based on cohort and case-control studies, the pooled results showed no significant association between serum C-peptide with CVD events risk (RR = 1.02;95%CI:0.91-1.15, I2 = 34.7%; P-heterogeneity = 0.140). For cross-sectional studies, the pooled results indicated a positive association between serum C-peptide and the odds of CVD outcomes (OR = 1.35;95%CI:1.04-1.76, I2 = 83.6%; P-heterogeneity < 0.001).

CONCLUSIONS

The pooled results of the current study suggested that C-peptide level was not related to the risk of CVD events in cohort studies, however, the meta-analysis of cross-sectional studies showed a significant association between C-peptide and an increased risk of CVD events.

Serum C-peptide level and the risk of cardiovascular diseases mortality and all-cause mortality: a meta-analysis and systematic review

Aims and background

Recently, the serum of C-peptide has been the focus of researchers as a possible predictor of mortality. However, the possible association of serum C-peptide with cardiovascular diseases (CVDs) mortality and all-cause mortality has not been clearly identified. This meta-analysis aimed to assess the relationship between serum C-peptide and the risk of CVDs mortality and all-cause mortality.

Methods

A comprehensive and systematic search was performed in various important databases, including the PubMed, Web of Science, and Scopus to find relevant studies up to November 2022. The reported hazard ratio (HR) [95% confidence interval (CI)] for all studies was converted into log HR, and their SD was calculated. Then to compute the pooled HR, the random-effects model with inverse variance weighting method was performed.

Results

Twenty-three studies were included in the meta-analysis. Fourteen studies reported HR for all-cause mortality, and nine studies for CVDs-related mortality. The pooled results indicate a significant association between serum C-peptide and the risk of all-cause mortality (HR: 1.22; 95% CI: 1.12-1.32, I²= 76.8%; P-value < 0.001). Also, higher serum C-peptide was related to the increased risk of CVDs mortality (HR: 1.38; 95% CI: 1.08-1.77, I²= 81.8%; P-value = 0.012).

Conclusions

Our investigation suggested that an increased level of serum C-peptide is associated with a higher risk of both CVDs and all-cause mortality. Further, large-scale studies and sufficient samples are recommended to present a convincing link between C-peptide and the risk of CVDs and all-cause mortality.

Systematic Review Registration

identifier, CRD42022364842.

Comparing the Effect of Moringa Aqueous Extract and Selenium Nanoparticles Against Complications of Type 2 Diabetes Mellitus

<b>Background and Objective:</b> Plant extracts were widely used to maintain postprandial levels and minimize diabetes complications. The main goal of this study was to evaluate the therapeutic effect of selenium nanoparticles and aqueous extract of the <i>Moringa</i> plant against diabetes mellitus complications and compare their therapeutic effects. <b>Materials and Methods:</b> Fifty six Wistar male rats were divided randomly into 8 groups (7 rats each): (i) Control, (ii): Received corn oil, (iii): Treated with Se-NPs, (iv): Injected orally with <i>Moringa</i> aqueous extract (MAE), (v): Treated with a single i.p., dose of streptozotocin (STZ), (vi): Single i.p., dose of STZ followed by Se-NPs, (vii): Treated with a single i.p., dose of STZ then MAE orally and (viii): Injected with STZ and then received Se-NPs. After 4 weeks the blood sera were isolated and stored at -20°C for investigation of values of insulin, GSH, MDA, SOD, GSH-PX, triglycerides, T-cholesterol, HDL-cholesterol and LDL-cholesterol. <b>Results:</b> The STZ treatment decreased insulin, HDL cholesterol and body weight values while increasing glucose, total cholesterol, LDL cholesterol and triglycerides and mild degeneration of islets of Langerhans. The single treatment of diabetic rats with either MAE or Se-NPs exhibited a decline in the levels of serum glucose, LDL-cholesterol, triglycerides, MDA and GSH, improving the HDL-cholesterol, insulin level and body weight. <b>Conclusion:</b> The co-administration of diabetic rats with MAE and Se-NPs resulted in a prominent improvement that was revealed by restoring beta-cell function, reducing blood glucose levels and stimulating insulin production rather than their single therapeutic use.

Low carbohydrate intake correlates with trends of insulin resistance and metabolic acidosis in healthy lean individuals

Introduction

Both obesity and a poor diet are considered major risk factors for triggering insulin resistance syndrome (IRS) and the development of type 2 diabetes mellitus (T2DM). Owing to the impact of low-carbohydrate diets, such as the keto diet and the Atkins diet, on weight loss in individuals with obesity, these diets have become an effective strategy for a healthy lifestyle. However, the impact of the ketogenic diet on IRS in healthy individuals of a normal weight has been less well researched. This study presents a cross-sectional observational study that aimed to investigate the effect of low carbohydrate intake in healthy individuals of a normal weight with regard to glucose homeostasis, inflammatory, and metabolic parameters.

Methods

The study included 120 participants who were healthy, had a normal weight (BMI 25 kg/m2), and had no history of a major medical condition. Self-reported dietary intake and objective physical activity measured by accelerometry were tracked for 7 days. The participants were divided into three groups according to their dietary intake of carbohydrates: the low-carbohydrate (LC) group (those consuming <45% of their daily energy intake from carbohydrates), the recommended range of carbohydrate (RC) group (those consuming 45-65% of their daily energy intake from carbohydrates), and the high-carbohydrate (HC) group (those consuming more than 65% of their daily energy intake from carbohydrates). Blood samples were collected for the analysis of metabolic markers. HOMA of insulin resistance (HOMA-IR) and HOMA of β-cell function (HOMA-β), as well as C-peptide levels, were used for the evaluation of glucose homeostasis.

Results

Low carbohydrate intake (<45% of total energy) was found to significantly correlate with dysregulated glucose homeostasis as measured by elevations in HOMA-IR, HOMA-β% assessment, and C-peptide levels. Low carbohydrate intake was also found to be coupled with lower serum bicarbonate and serum albumin levels, with an increased anion gap indicating metabolic acidosis. The elevation in C-peptide under low carbohydrate intake was found to be positively correlated with the secretion of IRS-related inflammatory markers, including FGF2, IP-10, IL-6, IL-17A, and MDC, but negatively correlated with IL-3.

Discussion

Overall, the findings of the study showed that, for the first time, low-carbohydrate intake in healthy individuals of a normal weight might lead to dysfunctional glucose homeostasis, increased metabolic acidosis, and the possibility of triggering inflammation by C-peptide elevation in plasma.

Acceptability of Herpes Zoster Vaccination among Patients with Diabetes: A Cross-Sectional Study in Saudi Arabia

Background: Vaccines have recently been made available free of charge by the Saudi Ministry of Health for people 50 years or older. Diabetes mellitus (DM) increases herpes zoster (HZ) susceptibility, severity, serious complications, and negative impacts on underlying DM conditions, which are highly prevalent in Saudi Arabia. This study aimed to assess the acceptability of the HZ vaccination and its predictors among patients with diabetes in the Qassim region of Saudi Arabia. Methods: A cross-sectional study of patients with diabetes from a primary healthcare center in the Qassim region was conducted. Information was obtained on sociodemographic characteristics, history of herpes zoster infection, knowing someone who had had herpes zoster, past vaccinations, and factors influencing their intention to receive the HZ vaccination through a self-administered online questionnaire. Results: The median age (IQR) was 56 years (53–62). Overall, 25% (n = 104/410) of the participants reported their acceptability of the HZ vaccination, and the predictors were being male (AOR 2.01, 95% CI 1.01–4.00, p = 0.047), believing the HZ vaccine was effective (AOR 3.94, 95% CI 2.25–6.90, p < 0.001), and awareness that immunocompromised individuals are at a higher risk of contracting HZ (AOR 2.32, 95% CI 1.37–3.93, p = 0.002). A total of 74.2% (n = 227/306) of the participants reported their acceptability of the HZ vaccination if advised by their physician, and the predictors were being male (AOR 2.37, 95% CI 1.18–4.79, p = 0.016) and having a history of varicella vaccine uptake (AOR 4.50, 95% CI 1.02–19.86, p = 0.047). Conclusions: One-quarter of the participants were ready to accept the HZ vaccine, but this proportion significantly increased when the patients were advised by their physicians. The uptake rate can be improved with the involvement of healthcare providers and focused awareness campaigns about the effectiveness of the vaccine.

The Relationship Between Acne Vulgaris and Insulin Resistance

Acne vulgaris is a chronic inflammatory disease of the pilosebaceous unit that usually affects adolescents. The aetiology and severity of acne may be influenced by hyperinsulinemia and insulin resistance. A case-control study was conducted in the dermatology outpatient clinic of Al-Fayhaa Teaching Hospital in Basrah city. C-peptide and triglyceride-glucose (TyG) index levels were measured in 43 acne vulgaris patients who were age- and gender-matched with 48 controls. The results found that 81% and 67% of acne patients have insulin resistance based on their C-peptide and TyG index levels, respectively, and this is significantly higher than the control candidates (P = 0.001). Furthermore, a higher value of C-peptide was found among acne cases compared to controls (2.84 ± 1.23 vs. 1.68 ± 0.19) (P = 0.001), and a higher value of the TyG index was found among cases compared to controls (4.43 ± 0.17 vs. 3.38 ± 0.19) (P = 0.001), in addition to a significant positive and strong correlation between the level of these biomarkers and the acne severity (r = 0.760 for the C-peptide and 0.814 for the TyG index) (P = 0.001).

Association of serum C-peptide with all-cause and cardiovascular disease mortality in ultrasound-defined nonalcoholic fatty liver disease

OBJECTIVE

To determine the prognostic value of C-peptide in long-term nonalcoholic fatty liver disease (NAFLD) mortality.

METHODS

A total of 4670 participants with NAFLD were enrolled in this study. Multivariable Cox regression models evaluated the links between C-peptide levels and all-cause and cardiovascular disease (CVD) mortality risk using adjusted hazard ratios (aHR). In addition, a two‑piecewise Cox model with penalized splines was adapted to investigate the nonlinear relationships between C-peptide and mortality.

RESULTS

After a mean follow‑up period of 20 years, 1714 deaths from all causes were recorded. In an adjusted Cox regression analysis, using the low C-peptide group as the reference (quartile 1), higher C-peptide (quartile 4) was notably associated with increased all-cause mortality (aHR =1.39; 95% CI: 1.18-1.65) and CVD death (aHR = 1.97; 95% CI: 1.41-2.76). Spline analyses demonstrated that the association between C-peptide levels and all-cause mortality was U-shaped, with a threshold value of 0.41 nmol/L. Below the threshold, every one-unit increment in C-peptide had a 70% reduced risk of all-cause death (aHR = 0.30, 95% CI: 0.1-0.7). Above the threshold, the C-peptide levels were associated with a higher probability of all-cause death (aHR = 1. 3, 95% CI:1.2-1.4).

CONCLUSIONS

In the US NAFLD population defined by ultrasound, a U-shaped association was detected between baseline serum C-peptide level and all-cause mortality.

C-peptide determination in the diagnosis of type of diabetes and its management: A clinical perspective

Impaired beta-cell function is a recognized cornerstone of diabetes pathophysiology. Estimates of insulin secretory capacity are useful to inform clinical practice, helping to classify types of diabetes, complication risk stratification and to guide treatment decisions. Because C-peptide secretion mirrors beta-cell function, it has emerged as a valuable clinical biomarker, mainly in autoimmune diabetes and especially in adult-onset diabetes. Nonetheless, the lack of robust evidence about the clinical utility of C-peptide measurement in type 2 diabetes, where insulin resistance is a major confounder, limits its use in such cases. Furthermore, problems remain in the standardization of the assay for C-peptide, raising concerns about comparability of measurements between different laboratories. To approach the heterogeneity and complexity of diabetes, reliable, simple and inexpensive clinical markers are required that can inform clinicians about probable pathophysiology and disease progression, and so enable personalization of management and therapy. This review summarizes the current evidence base about the potential value of C-peptide in the management of the two most prevalent forms of diabetes (type 2 diabetes and autoimmune diabetes) to address how its measurement may assist daily clinical practice and to highlight current limitations and areas of uncertainties to be covered by future research.

Association of C-peptide and lipoprotein(a) as two predictors with cardiometabolic biomarkers in patients with type 2 diabetes in KERCADR population-based study

We sought association between serum Lipoprotein(a) and C-Peptide levels as two predictors with cardiometabolic biomarkers in patients with type 2 diabetes mellitus. This nested case-control study was conducted on 253 participants with type 2 diabetes mellitus and control from the second phase of the KERCADR cohort study. The participants were randomly allocated into case and control groups. The quantitative levels of Lipoprotein(a) and C-Peptide were measured by ELISA. Atherogenic indices of plasma were measured. The plasma Atherogenic Index of Plasma significantly decreased (P = 0.002) in case-male participants, and plasma Castelli Risk Index II level significantly increased (P = 0.008) in control-male participants with the highest dichotomy of Lipoprotein(a). The plasma Atherogenic Index of Plasma level in case-female participants significantly increased (P = 0.023) with the highest dichotomy of C-Peptide. Serum C-Peptide level significantly increased (P = 0.010 and P = 0.002, respectively) in control-male participants with the highest dichotomies of Atherogenic Index of Plasma and Castelli Risk Index I. There was a significant association between the highest quartile of C-Peptide and higher anthropometric values in case participants; and higher atherogenic indices of plasma and anthropometric values in control participants. Raised serum C-peptide than raised Lipoprotein(a) can be a prior predictor for cardiometabolic disease risk in healthy participants and patients with type 2 diabetes mellitus with increased cardiometabolic biomarkers. Case and control males with general and visceral obesity and case and control females with visceral obesity are exposure to increased C-peptide, respectively. Lipoprotein(a) may be risk independent biomarker for type 2 diabetes mellitus. Reducing raised Lipoprotein(a) levels to less than 30ng/ml with strict control of low density lipoprotein cholesterol would be the best approach to prevent coronary artery disease consequences. It is suggested that a screening system be set up to measure the Lp(a) levels in the community for seemingly healthy people or individuals with one or more cardiometabolic biomarkers.

The Impact of C-Peptide and Diabetes Mellitus on Coronary Ectasia and Effect of Coronary Ectasia and C-Peptide on Long-Term Outcomes: A Retrospective Cohort Study

BACKGROUND

Coronary artery ectasia (CAE) is an entity frequently associated with atherosclerotic coronary artery disease (CAD) in clinical practice. Although it has common risk factors with atherosclerotic CAD in its development, the pathophysiology of CAE is not fully known and it is not seen in every CAD suggesting that different determinants may play a pivotal role in the development of CAD. This study aimed to reveal the impact of C-peptide and diabetes mellitus (DM) on CAE and the effect of C-peptide and coronary ectasia on long-term outcomes in patients who underwent coronary angiography.

METHODS

A total of 6611 patients who underwent coronary angiography were followed up retrospectively, and their major adverse cardiovascular event (MACE) status of an average of sixty months was recorded. According to their angiographic features, the patients were divided into two groups those with and without CAE. MACE development was accepted as the primary endpoint.

RESULTS

A total of 552 patients had CAE and MACE developed in 573 patients. Patients with CAE and higher C-peptide levels (Q4 + Q3) showed higher rates of MACE as compared to those without CAE and lower C-peptide levels (Q1 + Q2) (20.8% vs 7.6%; 70.1% vs 29.1%; p < 0.001, for both of them). In multivariate regression analysis, high C-peptide levels were determined as an independent risk factor for CAE (OR 2.417; 95% CI 2.212-2.641; p < 0.001). The Kaplan-Meier cumulative survival curves showed that the risks for MACE increased as the C-peptide levels increased. The Cox regression analysis for 5-years MACE related to the plasma C-peptide levels and presence of CAE, C-peptide, and CAE were found to be independent predictors of MACE (HR = 1.255, 95% CI: 1.164-1.336, p < 0.001 and HR = 1.012, 95% CI: 1.002-1.023, p=0.026, respectively).

CONCLUSION

Our study revealed that a high C-peptide level is an independent risk factor for CAE and that CAE and C-peptide are independent predictors for the development of MACE.

Alterations of glycaemia, insulin resistance and body mass index within the C-peptide optimal range in non-diabetic patients

The study focused on changes or cut-offs of glycaemia, insulin resistance and body mass index within the C-peptide reference range (260-1730 pmol/l). The metabolic profile of individuals in the Czech Republic without diabetes (n = 3186) was classified by whiskers and quartiles of C-peptide into four groups with the following ranges: 290-510 (n = 694), 511-710 (n = 780), 711-950 (n = 720) and 951-1560 pmol/l (n = 673). Fasting levels of glucose, insulin, HOMA IR (Homeostasis Model Assessment for Insulin Resistance) and BMI (body mass index) were compared by a relevant C-peptide range. Participants taking medication to control glycaemia were excluded. The evaluation involved correlations between C-peptides and the above parameters, F-test and t-test. Changes in glucose levels (from 5.3 to 5.6 mmol/l) between the groups were lower in comparison to insulin, which reached relatively greater changes (from 4.0 to 14.2 mIU/l). HOMA IR increased considerably with growing C-peptide concentrations (0.9, 1.5, 2.2 and 3.5) and BMI values showed a similar trend (28.3, 31.0, 33.6 and 37.4). Considerable changes were observed for insulin (5.2 mIU/l, 57.8%) and HOMA IR (1.3, 61.3%) between groups with C-peptide ranges of 711-950 and 951-1560 pmol/l. Although correlations involving C-peptide, insulin, glucose and BMI seemed to be non-significant (up to rxy = 0.25), the mean values of insulin, HOMA IR and BMI showed statistically significant changes between all groups with various C-peptide concentrations (p ≤ 0.001). Generally, most important differences appeared in glucose metabolism and body mass index between C-peptide ranges of 711-950 and 951-1560 pmol/l. Absolute and relative changes of C-peptide concentrations are possible to use for the assessment of glucose regulatory mechanism. The spectrum of investigated parameters could be a useful tool to prevent the risks linked with the alterations of glycaemia.

Association of low fasting C-peptide levels with cardiovascular risk, visit-to-visit glucose variation and severe hypoglycemia in the Veterans Affairs Diabetes Trial (VADT)

Aims

Low C-peptide levels, indicating beta-cell dysfunction, are associated with increased within-day glucose variation and hypoglycemia. In advanced type 2 diabetes, severe hypoglycemia and increased glucose variation predict cardiovascular (CVD) risk. The present study examined the association between C-peptide levels and CVD risk and whether it can be explained by visit-to-visit glucose variation and severe hypoglycemia.

Materials and methods

Fasting C-peptide levels at baseline, composite CVD outcome, severe hypoglycemia, and visit-to-visit fasting glucose coefficient of variation (CV) and average real variability (ARV) were assessed in 1565 Veterans Affairs Diabetes Trial participants.

Results

There was a U-shaped relationship between C-peptide and CVD risk with increased risk with declining levels in the low range (< 0.50 nmol/l, HR 1.30 [95%CI 1.05–1.60], p = 0.02) and with rising levels in the high range (> 1.23 nmol/l, 1.27 [1.00–1.63], p = 0.05). C-peptide levels were inversely associated with the risk of severe hypoglycemia (OR 0.68 [0.60–0.77]) and visit-to-visit glucose variation (CV, standardized beta-estimate − 0.12 [SE 0.01]; ARV, − 0.10 [0.01]) (p < 0.0001 all). The association of low C-peptide levels with CVD risk was independent of cardiometabolic risk factors (1.48 [1.17–1.87, p = 0.001) and remained associated with CVD when tested in the same model with severe hypoglycemia and glucose CV.

Conclusions

Low C-peptide levels were associated with increased CVD risk in advanced type 2 diabetes. The association was independent of increases in glucose variation or severe hypoglycemia. C-peptide levels may predict future glucose control patterns and CVD risk, and identify phenotypes influencing clinical decision making in advanced type 2 diabetes.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12933-021-01418-z.

ANGPTL3 Variants Associate with Lower Levels of Irisin and C-Peptide in a Cohort of Arab Individuals

ANGPTL3 is an important regulator of lipid metabolism. Its inhibition in people with hypercholesteremia reduces plasma lipid levels dramatically. Genome-wide association studies have associated ANGPTL3 variants with lipid traits. Irisin, an exercise-modulated protein, has been associated with lipid metabolism. Intracellular accumulation of lipids impairs insulin action and contributes to metabolic disorders. In this study, we evaluate the impact of ANGPTL3 variants on levels of irisin and markers associated with lipid metabolism and insulin resistance. ANGPTL3 rs1748197 and rs12130333 variants were genotyped in a cohort of 278 Arab individuals from Kuwait. Levels of irisin and other metabolic markers were measured by ELISA. Significance of association signals was assessed using Bonferroni-corrected p-values and empirical p-values. The study variants were significantly associated with low levels of c-peptide and irisin. Levels of c-peptide and irisin were mediated by interaction between carrier genotypes (GA + AA) at rs1748197 and measures of IL13 and TG, respectively. While levels of c-peptide and IL13 were directly correlated in individuals with the reference genotype, they were inversely correlated in individuals with the carrier genotype. Irisin correlated positively with TG and was strong in individuals with carrier genotypes. These observations illustrate ANGPTL3 as a potential link connecting lipid metabolism, insulin resistance and cardioprotection.

Plasma C-Peptide and Risk of Developing Type 2 Diabetes in the General Population

C-peptide measurement may represent a better index of pancreatic β-cell function compared to insulin. While insulin is mainly cleared by liver, C-peptide is mainly metabolized by kidneys. The aim of our study was to evaluate the association between baseline plasma C-peptide level and the development of type 2 diabetes independent of glucose and insulin levels and to examine potential effect-modification by variables related to kidney function. We included 5176 subjects of the Prevention of Renal and Vascular End-Stage Disease study without type 2 diabetes at baseline. C-peptide was measured in plasma with an electrochemiluminescent immunoassay. Cox proportional hazards regression was used to evaluate the association between C-peptide level and type 2 diabetes development. Median C-peptide was 722 (566-935) pmol/L. During a median follow-up of 7.2 (6.0-7.7) years, 289 individuals developed type 2 diabetes. In multivariable-adjusted Cox regression models, we observed a significant positive association of C-peptide with the risk of type 2 diabetes independent of glucose and insulin levels (hazard ratio (HR): 2.35; 95% confidence interval (CI): 1.49-3.70). Moreover, we found significant effect modification by hypertension and albuminuria (p < 0.001 and p = 0.001 for interaction, respectively), with a stronger association in normotensive and normo-albuminuric subjects and absence of an association in subjects with hypertension or albuminuria. In this population-based cohort, elevated C-peptide levels are associated with an increased risk of type 2 diabetes independent of glucose, insulin levels, and clinical risk factors. Elevated C-peptide level was not independently associated with an increased risk of type 2 diabetes in individuals with hypertension or albuminuria.

Fasting C-peptide is a significant indicator of nonalcoholic fatty liver disease in obese children

AIMS

Whether fasting C-peptide can be a potential indicator for nonalcoholic fatty liver disease (NAFLD) in obese children is unknown. This study aimed to assess whether fasting C-peptide represented a risk factor for NAFLD.

METHODS

A total of 520 obese children (376 male, 144 female) aged 3.4-17.1 years were divided into two groups, obese with NAFLD and non-NAFLD, according to hepatic ultrasound results. Fasting plasma glucose, fasting C-peptide, hemoglobin A1c, renal function, liver function, blood lipid, fasting insulin and blood routine indices were measured. Insulin resistance by homoeostasis model (HOMA-IR) was calculated.

RESULTS

Compared with the non-NAFLD group, the obese children with NAFLD had higher fasting C-peptide, fasting insulin and HOMA-IR (P < 0.001). Stepwise multiple logistic regression models showed that fasting C-peptide (odds ratio: OR = 2.367) was independent indicator of the presence of NAFLD in obese children as well as white blood cell (OR = 1.113), albumin (OR = 1.124), alanine aminotransferase (OR = 1.030), triglycerides (OR = 1.335), and waist circumference (OR = 1.047). Furthermore, after adjustment for confounding variables, the prevalence of NAFLD in obese children was significantly higher according to increased serum fasting C-peptide levels. The adjusted OR for NAFLD according to fasting C-peptide tertiles were 1.00 (as references), 1.896(1.045-3.436), and 4.169(1.822-9.537).

CONCLUSION

Our data suggested that obese children with high level of fasting C-peptide had an increased risk for developing NAFLD.

Association of C-peptide with diabetic vascular complications in type 2 diabetes

AIM

Fasting serum C-peptide is a biomarker of insulin production and insulin resistance, but its association with vascular complications in type 2 diabetes mellitus (T2DM) has never been fully elucidated. This study aimed to investigate whether C-peptide is associated with cardiovascular disease (CVD) and diabetic retinopathy (DR).

METHODS

A total of 4793 diabetes patients were enrolled from seven communities in Shanghai, China, in 2018. CVD was defined as a self-reported combination of previous diagnoses, including coronary heart disease, myocardial infarction and stroke. DR was examined using fundus photographs. Logistic regression analyses were performed, and multiple imputed data were used to obtain stabilized estimates.

RESULTS

Prevalence of CVD increased with increasing C-peptide levels (Q1, Q2, Q3 and Q4: 33%, 34%, 37% and 44%, respectively; P_{for trend} < 0.001), whereas DR prevalence decreased with increasing C-peptide quartiles (Q1, Q2, Q3 and Q4: 21%, 19%, 15% and 12%, respectively; P_{for trend} < 0.001). On logistic regression analysis, C-peptide levels were significantly associated with CVD prevalence (1.27, 95% CI: 1.13-1.42; P < 0.001) and C-peptide quartiles (Q1: reference; Q2: 1.31, 95% CI: 1.00-1.70; Q3: 1.53, 95% CI: 1.16-2.01; Q4: 1.76, 95% CI: 1.32-2.34; P_{for trend} < 0.001). Given the interaction between C-peptide and BMI and the association between C-peptide and CVD (P_{for interaction} = 0.015), study participants were divided into two subgroups based on BMI which revealed that the association persisted despite different BMI statuses. However, DR prevalence decreased with increasing C-peptide levels (0.73, 95% CI: 0.62-0.86; P < 0.001) and quartiles (Q1: reference; Q2: 1.00, 95% CI: 0.76-1.33; Q3: 0.69, 95% CI: 0.50-0.94; Q4: 0.51, 95% CI: 0.36-0.72; P_{for trend} < 0.001).

CONCLUSION

C-peptide was positively associated with CVD, but inversely associated with DR progression. The association between C-peptide and CVD could be due to associated metabolic risk factors.

C-peptide predicts all-cause and cardiovascular death in a cohort of individuals with newly diagnosed type 2 diabetes. The Skaraborg diabetes register

AIMS

To study the association between baseline level of C-peptide and all-cause death, cardiovascular death and cardiovascular complications among persons with newly diagnosed type 2 diabetes.

METHODS

The Skaraborg Diabetes Register contains data on baseline C-peptide concentrations among 398 persons <65 years with newly diagnosed type 2 diabetes 1996-1998. National registries were used to determine all-cause death, cardiovascular death and incidence of myocardial infarction and ischemic stroke until 31 December 2014. The association between baseline C-peptide and outcomes were evaluated with adjustment for multiple confounders by Cox regression analysis. Missing data were handled by multiple imputation.

RESULTS

In the imputed and fully adjusted model there was a significant association between 1 nmol/l increase in C-peptide concentration and all-cause death (HR 2.20, 95% CI 1.49-3.25, p < 0.001, number of events = 104), underlying cardiovascular death (HR 2.69, 1.49-4.85, p = 0.001, n = 35) and the composite outcome of underlying cardiovascular death, myocardial infarction or ischemic stroke (HR 1.61, 1.06-2.45, p = 0.027, n = 90).

CONCLUSIONS

Elevated C-peptide levels at baseline in persons with newly diagnosed type 2 diabetes are associated with increased risk of all-cause and cardiovascular mortality. C-peptide might be used to identify persons at high risk of cardiovascular complications and premature death.

Soluble ST2 is a biomarker for cardiovascular mortality related to abnormal glucose metabolism in high-risk subjects

AIMS

Inflammation plays a role in the development and progression of type 2 diabetes macroangiopathy. Interleukin 33 (IL-33) drives production of Th2-associated cytokines. The soluble form of suppression of tumorigenicity 2 (sST2) acting as a decoy receptor blocks IL-33 and tones down Th2 inflammatory response. We investigated the role of sST2 as a predictor of CV and all-cause mortality in a cohort of patients affected by established atherosclerotic disease.

METHODS

399 patients with atherosclerotic disease from the Tor Vergata Atherosclerosis Registry performed follow-up every year by phone interview. The primary endpoint was cardiovascular death and the secondary endpoint was death for any other disease.

RESULTS

sST2 plasma levels were significantly increased from normal glucose-tolerant patients to patients with history of type 2 diabetes (p < 0.00001). Levels of sST2 were significantly correlated with fasting plasma glucose (R = 0.16, p = 0.002), HbA1c (R = 0.17, p = 0.002), and HOMA (R = 0.16, p = 0.004). Dividing patients in tertiles of sST2 levels, those belonging to the highest tertile showed an increased rate of all-cause and cardiovascular mortality, (all-cause mortality p = 0.045 and CVD mortality p = 0.02). A multivariate Cox analysis revealed that sST2 increased the risk in cardiovascular mortality per SD by hazard ratio 1.050 (95% CI 1.006-1.097, p = 0.025) after adjustment for age and hs-CRP while it did not significantly change the risk for all-cause mortality.

CONCLUSIONS

High circulating level of sST2 is associated to increased CVD mortality and markers of metabolic dysfunction in subjects with atherosclerotic disease.

Serum Uric Acid Levels as an Indicator for Metabolically Unhealthy Obesity in Children and Adolescents

BACKGROUND

Metabolically healthy obesity (MHO) refers to those individuals who do not show cardiometabolic abnormalities. Our aim was to identify potential clinical and metabolic indicators that may help to distinguish between metabolically healthy and unhealthy individuals amongst overweight and obese children and adolescents.

METHODS

The study involved 246 overweight/obese and 212 normal-weight individuals enrolled in the LIFE Child study, aged between 6 and 18 years. Overweight/obese individuals without cardiovascular risk factors (fasting serum lipids, blood pressure, and glucose) were classified as MHO. Individuals meeting 1 or more criteria of cardiovascular risk factors were classified as metabolically unhealthy obesity (MUO).

RESULTS

Among the 246 overweight/obese individuals, 173 (70%) were MHO and 73 (30%) were MUO. The MHO individuals were younger, more likely to be male, and had lower BMI SDS. In the logistic regression models, uric acid (UA) SDS (OR 1.61, 95% CI 1.1-2.6, p = 0.004), waist circumference SDS (OR 2.50, 95% CI 1.2-6.4, p = 0.017), and C-peptide (OR 4.05, 95% CI 3.5-91, p = 0.003) were significant indicators of MUO.

CONCLUSION

Our results suggest that nearly one-third of overweight/obese children are already identified as MUO. Serum levels of UA can be used as an indicator of unhealthy obesity in youth, where lower levels of UA indicate a lower risk and higher levels suggest a higher risk of MUO. We note that the relevance of identifying potential indicators remains the first most important step in future clinical research.

Biomarker potential of C-peptide for screening of insulin resistance in diabetic and non-diabetic individuals

Insulin resistance is a hallmark feature of type-2 diabetes mellitus (T2DM). We determined the homeostatic model assessment insulin resistance (HOMA-IR) and evaluated its association with C-peptide, insulin, fasting blood glucose (FBG) and glycated hemoglobin (HbA1c) in T2DM patients and non-diabetic subjects. This study comprised a total of 47 T2DM patients and 38 non-diabetic controls. Venous blood samples from all the subjects were collected and sera were analyzed for FBG, HbA1c, insulin and C-peptide using an autoanalyzer. HOMA-IR was calculated using the following equation: HOMA-IR = fasting insulin (µU/ml) × fasting glucose (mmol/L)/22.5. There was a significant increase in the levels of FBG and HbA1c in diabetic patients. Although the levels of C-peptide and insulin did not differ significantly between the two groups, a significant increase in HOMA-IR was observed in T2DM patients. Both insulin and C-peptide were significantly correlated with HOMA-IR. In conclusion, C-peptide may serve as a simple and convenient predictor of HOMA-IR.

Development of a double-antibody sandwich ELISA for rapid detection to C-peptide in human urine

C-peptide level is recognized as an important indicator of diabetes diagnosis. A sensitive and specific double-antibody sandwich enzyme-linked immunosorbent assay for the detection of C-peptide based on double antibody sandwich method was studied in this paper. The rabbit and hen were innunized with PLL-C-peptide and BSA-C-peptide respectively to obtain specific Yolk antibody (IgY) and polyclonal antibody used to construct the sandwich ELISA for the measurement of C-peptide. The limit of detection was 0.51 μg/mL and the half maximal inhibitory concentration (IC50) was 3.26 μg/mL. The method developed in the study showed no evident cross-reactivity with other similar analogs. The detection standard curve of C-peptide exhibited a good linearity (R² = 0.9896, n = 15). 17 types of the urine of diabetes patients on c-peptide levels compared with the hospital type of diabetes information, with a conclusion of a high consistent rate. Therefore, the methods could be selectively used for rapid screening of C-peptide in human urine, and the type of diabetes has some referential significance.

2-hydroxycaproate predicts cardiovascular mortality in patients with atherosclerotic disease

BACKGROUND AND AIMS

We aimed to identify novel biomarkers for cardiovascular mortality through a non-targeted metabolomics approach in patients with established atherosclerotic disease from the Tor Vergata Atherosclerosis Registry (TVAR).

METHODS

We compared the serum baseline metabolome of 19 patients with atherosclerosis suffering from cardiovascular death during follow-up with the baseline serum metabolome of 20 control patients matched for age, gender, body mass index (BMI) and atherosclerotic disease status, who survived during the observation period.

RESULTS

Three metabolites were significantly different in the cardiovascular mortality (CVM) group compared to controls: 2-hydroxycaproate, gluconate and sorbitol. 2-hydroxycaproate (otherwise known as alpha hydroxy caproate) was also significantly correlated with time to death. The metabolites performed better when combined together rather than singularly on the identification of CVM status.

CONCLUSIONS

Our analysis led to identify few metabolites potentially amenable of translation into the clinical practice as biomarkers for specific metabolic changes in the cardiovascular system in patients with established atherosclerotic disease.

Peptídeo C e mortalidade cardiovascular: revisão sistemática e metanálise

Objetivo

Analisar as evidências de associação entre peptídeo C e mortalidade cardiovascular e geral disponíveis na literatura.

Métodos

Foi realizada uma revisão sistemática das bases de dados MEDLINE e EMBASE. Foram incluídos artigos publicados em inglês, português ou espanhol relatando estudos observacionais que investigaram a associação entre o peptídeo C e a mortalidade cardiovascular e geral. Buscou-se ainda avaliar a associação entre peptídeo C e fatores de risco cardiometabólicos, fatores hemodinâmicos e medidas antropométricas. A qualidade metodológica dos estudos foi avaliada de acordo com os critérios da escala Newcastle-Ottawa.

Resultados

Foram identificados 107 estudos relacionados ao tema. Ao final do processo de triagem, foram incluídos 18 artigos que apresentavam dados sobre a associação entre peptídeo C e risco cardiovascular. Cinco estudos forneceram dados sobre a relação entre peptídeo C e mortalidade cardiovascular e geral. O peptídeo C esteve associado positivamente ao IMC em chineses, e inversamente ao HDL colesterol em amostras populacionais na Ásia, Oriente Médio e Estados Unidos. Todavia, não foi possível realizar metanálise para os componentes de risco cardiovascular. Por outro lado, o peptídeo C esteve associado com a mortalidade cardiovascular (RR = 1,62; IC95%: 0,99 a 2,66) e geral (RR = 1,39; IC95%: 1,04 a 1,84).

Conclusão

Na revisão sistemática e metanálise realizadas, os níveis séricos de peptídeo C estiveram associados positivamente com a mortalidade geral em todos os indivíduos e com a mortalidade cardiovascular em pessoas sem comorbidades. Com base nesses resultados, é possível recomendar o emprego do peptídeo C na prática clínica como proxy da condição de resistência à insulina associada a mortalidade cardiovascular.

Addressing the Perfect Storm: Biomarkers in Obesity and Pathophysiology of Cardiometabolic Risk

BACKGROUND

The worldwide rise of obesity has provoked intensified research to better understand its pathophysiology as a means for disease prevention. Several biomarkers that may reflect various pathophysiological pathways that link obesity and cardiometabolic diseases have been identified over the past decades.

CONTENT

We summarize research evidence regarding the role of established and novel obesity-related biomarkers, focusing on recent epidemiological evidence for detrimental associations with cardiometabolic diseases including obesity-related cancer. The reviewed biomarkers include biomarkers of glucose–insulin homeostasis (insulin, insulin-like growth factors, and C-peptide), adipose tissue biomarkers (adiponectin, omentin, apelin, leptin, resistin, and fatty-acid-binding protein-4), inflammatory biomarkers (C-reactive protein, interleukin 6, tumor necrosis factor α), and omics-based biomarkers (metabolites and microRNAs).

SUMMARY

Although the evidence for many classical obesity biomarkers, including adiponectin and C-reactive protein (CRP), in disease etiology has been initially promising, the evidence for a causal role in humans remains limited. Further, there has been little demonstrated ability to improve disease prediction beyond classical risk factors. In the era of “precision medicine,” there is an increasing interest in novel biomarkers, and the extended list of potentially promising biomarkers, such as adipokines, cytokines, metabolites, and microRNAs, implicated in obesity may bring new promise for improved, personalized prevention. To further evaluate the role of obesity-related biomarkers as etiological and early-disease-prediction targets, well-designed studies are needed to evaluate temporal associations, replicate findings, and test clinical utility of novel biomarkers. In particular, studies to determine the therapeutic implications of novel biomarkers beyond established metabolic risk factors are highly warranted.