Age-Related Changes in Proinsulin Processing in Normoglycemic Individuals.

In order to understand the pathological changes associated with glucose homeostasis in old age, it is necessary to know the natural changes in the processing of proinsulin to mature insulin. While there is abundant information about insulin production and function in diabetics, the situation in healthy adults and the elderly has surprisingly rarely been investigated. The aim of the study was to determine how proinsulin secretion changes in individuals with normal glucose tolerance during the process of natural aging. A total of 761 individuals (539 women, 222 men) aged 18-90 years with normal fasting glycemia (less than 5.6 mmol/l) were divided into five groups according to age. Body composition and levels of fasting blood glucose, proinsulin, insulin, and C-peptide were determined, and the ratios of proinsulin to both insulin and C-peptide were calculated. The homeostasis model of ?-cell function (HOMA F) and peripheral insulin resistance (HOMA R) were calculated. The effect of age was assessed using an ANOVA model consisting of the factors sex, age, and sex × age interaction. Statgraphics Centurion v. XVIII statistical software was used. Glycemia, insulin, C-peptide and HOMA R increased in both sexes up to 75 years. On the contrary, proinsulin levels as well as proinsulin/insulin and proinsulin/C-peptide ratios decreased with age up to 75 years. In normoglycemic and normotolerant people, both women and men, the aging process is associated with decreased insulin sensitivity compensated by potentiation of insulin production. In older age, there is also a gradual decrease in circulating proinsulin, which can be explained by its more efficient processing into active insulin by matured healthy beta cells.

Genome-wide association study of fasting proinsulin, fasting insulin, 2-hour postprandial proinsulin, and 2-hour postprandial insulin in Chinese Han people.

INTRODUCTION: Fasting proinsulin (FPI) and fasting insulin (FI) have been demonstrated to be associated with impaired b cell function, T2DM, and insulin resistance. This genome-wide association study (GWAS) was performed to contribute to our understanding of the genetic basis of FPI, FI, 2-hour postprandial proinsulin (2hPI), and 2-hour postprandial insulin (2hI) of the pathophysiology of prediabetes in the Chinese population. MATERIAL AND METHODS: The levels of fasting plasma glucose (FPG), FPI, FI, 2hPI, and 2hI were examined by an automatic biochemical analyser. The Applied BiosystemsTM AxiomTM Precision Medicine Diversity Array, the Gene Titan Multi-Channel instrument, and Axiom Analysis Suite 6.0 Software were used for genotyping. Imputation was performed with IMPUTE 2.0 software from HapMap, 1000 Genomes Phase 3 as a reference panel. RESULTS: Six single nucleotide polymorphisms (SNPs) in DLG1-AS1, SORCS1, and CTAGE11P for FPI, and 27 SNPs in ZNF718, MARCHF2, and HNRNPM for 2hPI reached genome-wide significance. Genome-wide significance was reached for associations of 6 SNPs in KRT71 to FI. Also, 14 SNPs in UBE2U, ABO, and GRID1-AS1 were genome-wide significant in their relationship with 2hI. Among these, the genetic loci of CTAGE11P, MARCHF2, KRT71, and ABO have the strongest association with FPI, 2hPI, FI, and 2hI. CONCLUSIONS: The genetic variants of CTAGE11P, MARCHF2, KRT71, and ABO are significantly correlated with FPI, 2hPI, FI, and 2hI, respectively, in Chinese Han people. These genetic variants may serve as new biomarkers for the prevention of prediabetes.

Proinsulin to C-Peptide Ratio in the First Year After Diagnosis of Type 1 Diabetes.

OBJECTIVE: The proinsulin to C-peptide (PI:C) ratio is reputedly a biomarker of ß-cell endoplasmic reticulum (ER) stress. OBJECTIVE: This study examined the natural history of the PI:C ratio and its correlation with residual ß-cell function in childhood new-onset type 1 diabetes (T1D). Over the first year of T1D, the temporal trend in fasting and nutrient-stimulated PI data is limited. METHODS: PI was a secondary pre-planned analysis of our 1-year, randomized, double-blind, placebo-controlled gamma aminobutyric acid (GABA) trial in new-onset T1D. Of the 99 participants in the primary study, aged 4 to 18 years, 30 were placebo. This study only involved the 30 placebo patients; all were enrolled within 5 weeks of T1D diagnosis. A liquid mixed meal tolerance test was administered at baseline and 5 and 12 months for determination of C-peptide, PI, glucose, and hemoglobin A1C. RESULTS: Both the fasting (P = 0.0003) and stimulated (P = 0.00008) PI:C ratios increased from baseline to 12 months, indicating escalating ß-cell ER stress. The baseline fasting PI correlated with the fasting change in C-peptide at 12 months (P = 0.004) with a higher PI correlating with greater decline in C-peptide. Patients with an insulin-adjusted A1C >9% (hence, not in remission) had higher fasting PI:C ratios. Younger age at diagnosis correlated with a higher PI:C ratio (P = 0.04). CONCLUSION: Children with new-onset T1D undergo progressive ß-cell ER stress and aberrant proinsulin processing, as evidenced by increasing PI:C ratios. Moreover, the PI:C ratio reflects more aggressive ß-cell onslaught with younger age, as well as diminished glycemic control.

Cord Blood IGF-I, Proinsulin, Leptin, HMW Adiponectin, and Ghrelin in Short or Skinny Small-for-Gestational-Age Infants.

CONTEXT: Small-for-gestational-age (SGA) is an indicator of poor fetal growth "programming" an elevated risk of type 2 diabetes in adulthood. Little is known about early-life endocrine characteristics in SGA subtypes. Stunting (short) and wasting (skinny) are considered distinct SGA phenotypes in neonatal prognosis. OBJECTIVES: This work aimed to assess whether SGA infants with stunting or wasting have similar alterations in neonatal endocrine metabolic health biomarkers. METHODS: This was a nested case-control study based on the 3D (Design, Develop, and Discover) birth cohort in Canada. The study subjects were 146 SGA (birth weight < 10th percentile) and 155 optimal-for-gestational age (OGA, 25th-75th percentiles) infants. Stunting was defined as birth length less than the 10th percentile, and wasting as body mass index less than the 10th percentile for sex and gestational age, respectively. Main outcome measures included cord plasma concentrations of insulin-like growth factor I (IGF-I), proinsulin, leptin, high-molecular-weight (HMW) adiponectin, and ghrelin. RESULTS: Comparing to OGA infants adjusted for maternal and neonatal characteristics, SGA infants with either stunting only or wasting only had lower cord plasma IGF-I and leptin concentrations. HMW adiponectin concentrations were lower in SGA infants with wasting only (P = .004), but similar in SGA infants with stunting only (P = .816). Only SGA infants with both stunting and wasting had substantially lower proinsulin (P < .001) and higher ghrelin concentrations (P < .001) than OGA infants. CONCLUSION: This study is the first to demonstrate that SGA infants with wasting only are characterized by low HMW adiponectin concentrations, whereas those with stunting only are not. SGA with both stunting and wasting are characterized by low proinsulin and high ghrelin concentrations.

Type 2 diabetes is more predictable in women than men by multiple anthropometric and biochemical measures.

Men and women are sexually dimorphic but whether common anthropometric and biochemical parameters predict type 2 diabetes (T2D) in different ways has not been well studied. Here we recruit 1579 participants in Hainan Province, China, and group them by sex. We compared the prediction power of common parameters of T2D in two sexes by association, regression, and Receiver Operating Characteristic (ROC) analysis. HbA1c is associated with FPG stronger in women than in men and the regression coefficient is higher, consistent with higher prediction power for T2D. Age, waist circumference, BMI, systolic and diastolic blood pressure, triglyceride levels, total cholesterol, LDL, HDL, fasting insulin, and proinsulin levels all predict T2D better in women. Except for diastolic blood pressure, all parameters associate or tend to associate with FPG stronger in women than in men. Except for diastolic blood pressure and fasting proinsulin, all parameters associate or tend to associate with HbA1c stronger in women than in men. Except for fasting proinsulin and HDL, the regression coefficients of all parameters with FPG and HbA1c were higher in women than in men. Together, by the above anthropometric and biochemical measures, T2D is more readily predicted in women than men, suggesting the importance of sex-based subgroup analysis in T2D research.

A comparison of glycemic parameters and their relationship with C-peptide and Proinsulin levels during partial remission and non-remission periods in children with type 1 diabetes mellitus - a cross-sectional study.

BACKGROUND: Currently, there is a lack of data relating to glycemic parameters and their relationship with C-peptide (CP) and proinsulin (PI) during the partial remission period (PRP) in type 1 diabetes mellitus (T1D). The aim of this study was to evaluate glycemic parameters in children with T1D who are in the PRP using intermittently scanned continuous glucose monitoring systems (isCGMS) and to investigate any relationships between CP and PI levels. METHODS: The study included 21 children who were in the PRP and 31 children who were not. A cross-sectional, non-randomized study was performed. Demographic, clinical data were collected and 2 week- isCGMS data were retrieved. RESULTS: The Serum CP showed a positive correlation with time-in-range in the PRP (p:0.03), however PI showed no correlations with glycemic parameters in both periods. The Serum CP and PI levels and the PI:CP ratio were significantly higher in the PRP group than in the non-PRP group. In the non-PRP group, the PI level was below 0.1 pmol/L (which is the detectable limit) in only 2 of the 17 cases as compared with none in the PRP group. Similarly, only 2 of the 17 children in the non-PRP group had CP levels of less than 0.2 nmol / L, although both had detectable PI levels. Overall time-in-range (3. 9-1.0 mmol/L) was significantly high in the PRP group. In contrast, the mean sensor glucose levels, time spent in hyperglycemia, and coefficient of variation levels (32.2vs 40.5%) were significantly lower in the PRP group. CONCLUSIONS: Although the mean glucose and time in range during the PRP was better than that in the non-PRP group, the glycemic variability during this period was not as low as expected. While the CP levels showed an association with TIR during the PRP, there was no correlation between PI levels and glycemic parameters. Further studies are needed to determine if PI might prove to be a useful parameter in clinical follow-up.

Fibroblast Growth Factor 19 in Gestational Diabetes Mellitus and Fetal Growth.

Fibroblast growth factor 19 (FGF19) has been implicated in glucose homeostasis. Gestational diabetes mellitus (GDM) enhances fetal insulin secretion and fetal growth. Girls weigh less and are more insulin resistant than boys at birth. We sought to assess whether FGF19 is associated with GDM and fetal growth and explore potential sex dimorphic associations. This was a nested case-control study in the Shanghai Birth Cohort, including 153 pairs of newborns of GDM versus euglycemic mothers matched by infant's sex and gestational age at birth. Cord plasma FGF19, insulin, C-peptide, proinsulin, IGF-I and IGF-II concentrations were measured. Cord plasma FGF19 concentrations were similar in GDM versus euglycemic pregnancies (mean ± SD: 43.5 ± 28.2 versus 44.5 ± 30.2 pg/mL, P=0.38). FGF19 was not correlated with IGF-I or IGF-II. FGF19 concentrations were positively correlated with birth weight (r=0.23, P=0.01) and length (r=0.21, P=0.02) z scores, C-peptide (r=0.27, P=0.002) and proinsulin (r=0.27, P=0.002) concentrations in females. Each SD increment in cord plasma FGF19 was associated with a 0.25 (0.07-0.43) increase in birth weight z score in females. In contrast, FGF19 was not correlated with birth weight or length in males. These sex dimorphic associations remained after adjusting for maternal and neonatal characteristics. The study is the first to demonstrate that GDM does not matter for cord blood FGF19 concentrations. The female specific positive correlation between FGF19 and birth weight is suggestive of a sex-dimorphic role of FGF19 in fetal growth. The observations call for more studies to validate the novel findings and elucidate the underlying mechanisms.

Adult Proinsulinomatosis Associated With a MAFA Germline Mutation as a Rare Cause of Recurrent Hypoglycemia.

ABSTRACT: Sporadic adult insulinomatosis is an extremely rare clinical condition. Adult proinsulinomatosis has not yet been described. We report the case of a 48-year-old female patient with recurrent hypoglycemia caused by benign proinsulin-secreting pancreatic neuroendocrine neoplasias (pNENs) with no history of multiple endocrine neoplasia type 1. Initial workup revealed elevated serum proinsulin levels and a positive fasting test. Magnetic resonance imaging and endosonography visualized 2 pNENs in the pancreatic body and tail that were treated by robotic-assisted enucleation. After initial biochemical cure, the patient's hypoglycemia recurred 3 months after surgery. Imaging showed a new lesion in the pancreatic body, so that now a spleen-preserving subtotal distal pancreatectomy was performed. The pathological examination revealed 17 neuroendocrine microadenomas and 1 well-differentiated pNEN (Ki-67% 1%-2%) of 22-mm size as well as more than 200 (pro)insulin-producing ß-cell precursor lesions, confirming the diagnosis of adult proinsulinomatosis. Mutation analysis of the germline DNA identified the in-frame deletion mutation (p.His207del) in the MAFA gene on chromosome 8. The patient was biochemically cured 16 months after the last surgical resection. Similarly to adult insulinomatosis, the presence of proinsulin-secreting tumors causes recurrent hypoglycemia and might be associated with germline mutations in the MAFA gene.

Effects of carbohydrate restriction on postprandial glucose metabolism, ß-cell function, gut hormone secretion, and satiety in patients with Type 2 diabetes.

Dietary carbohydrate restriction may improve the phenotype of Type 2 diabetes (T2D) patients. We aimed to investigate 6 wk of carbohydrate restriction on postprandial glucose metabolism, pancreatic α- and ß-cell function, gut hormone secretion, and satiety in T2D patients. Methods In a crossover design, 28 T2D patients (mean HbA1c: 60 mmol/mol) were randomized to 6 wk of carbohydrate-reduced high-protein (CRHP) diet and 6 wk of conventional diabetes (CD) diet (energy-percentage carbohydrate/protein/fat: 30/30/40 vs. 50/17/33). Twenty-four-hour continuous glucose monitoring (CGM) and mixed-meal tests were undertaken and fasting intact proinsulin (IP), 32,33 split proinsulin concentrations (SP), and postprandial insulin secretion rates (ISR), insulinogenic index (IGI), ß-cell sensitivity to glucose (Bup), glucagon, and gut hormones were measured. Gastric emptying was evaluated by postprandial paracetamol concentrations and satiety by visual analog scale ratings. A CRHP diet reduced postprandial glucose area under curve (net AUC) by 60% (P < 0.001), 24 h glucose by 13% (P < 0.001), fasting IP and SP concentrations (both absolute and relative to C-peptide, P < 0.05), and postprandial ISR (24%, P = 0.015), while IGI and Bup improved by 31% and 45% (both P < 0.001). The CRHP diet increased postprandial glucagon net AUC by 235% (P < 0.001), subjective satiety by 18% (P = 0.03), delayed gastric emptying by 15 min (P < 0.001), decreased gastric inhibitory polypeptide net AUC by 29% (P < 0.001), but had no significant effect on glucagon-like-peptide-1, total peptide YY, and cholecystokinin responses. A CRHP diet reduced glucose excursions and improved ß-cell function, including proinsulin processing, and increased subjective satiety in patients with T2D.

Inverse correlation between serum high-molecular-weight adiponectin and proinsulin level in a Japanese population: The Dynamics of Lifestyle and Neighborhood Community on Health Study.

Serum high-molecular-weight adiponectin (HMWA) has a positive correlation with insulin secretion in the Japanese population. To validate this correlation, we investigated the correlation between serum HMWA and proinsulin, a marker of ß-cell dysfunction, in this population. A total of 488 participants (53.9% women) aged 35-79 years not taking oral hypoglycemic agents and/or insulin were enrolled. HMWA was significantly and inversely correlated with proinsulin adjusted for age and sex (partial regression coefficient ß = -0.37; 95% confidence interval -0.46 to -0.28). When the participants were divided into two groups by median values of body mass index (23.2 kg/m2 ), serum insulin (4.3 µU/mL) or homeostasis model assessment of insulin resistance (1.0), similar inverse correlations were observed adjusted for age and sex in both groups. Our results showed that the HMWA level was inversely correlated with the proinsulin level in a general Japanese population.

Limitations of the fasting proinsulin to insulin ratio as a measure of ß-cell health in people with and without impaired glucose tolerance.

BACKGROUND: The fasting proinsulin to insulin ratio is elevated in people with type 2 diabetes and has been suggested as a marker of ß-cell health. However, its utility in discriminating between individuals with varying degrees of ß-cell dysfunction is unclear. Proinsulin has a very different half-life to insulin and unlike insulin does not undergo hepatic extraction prior to reaching the systemic circulation. Given these limitations, we sought to examine the relationship between fasting and postprandial concentrations of ß-cell polypeptides (proinsulin, insulin and C-peptide) in people with normal and impaired glucose tolerance in differing metabolic environments. DESIGN: Subjects were studied on two occasions in random order while undergoing an oral challenge. During one study day, free fatty acids were elevated (to induce insulin resistance) by infusion of Intralipid with heparin. Proinsulin to insulin and proinsulin to C-peptide ratios were calculated for the 0-, 30-, 60- and 240-minute time points. Insulin action (Si) and ß-cell responsivity (Φ) indices were calculated using the oral minimal model. RESULTS: The fasting proinsulin to c-peptide or fasting proinsulin to insulin ratios did not differ between groups and did not predict subsequent ß-cell responsivity to glucose during the glycerol or Intralipid study days in either group. CONCLUSIONS: Among nondiabetic individuals, the fasting proinsulin to insulin ratio is not a useful marker of ß-cell function.

The correlation between proinsulin, true insulin, proinsulin: True insulin ratio, 25(OH) D3, waist circumference and risk of prediabetes in Hainan Han adults.

PURPOSE: Diabetes mellitus is a kind of highly prevalent chronic disease in the world. The intervention measures on the risk factors of prediabetes contribute to control and reduce the occurrence of diabetes. This study aimed to investigate the correlation between proinsulin (PI), true insulin (TI), PI/TI, 25(OH) D3, waist circumference (WC), and risk of prediabetes. METHODS: In this cross-sectional study, 1662 subjects including 615 prediabetes and 1047 non-prediabetes were recruited. Spearman's correlation analysis was used to explore the association of PI, TI, PI/TI, 25(OH) D3, and waist circumference with prediabetes. Odds ratios (OR) and 95% confidence intervals (CI) were calculated by logistic regression. Receiver-Operator Characteristic (ROC) curve was used to evaluate the risk of prediabetes. RESULTS: Our study showed that FPI, 2hPI, FTI, 2hTI, FPI/FTI, and WC could enhance the risk of prediabetes (OR 1.034; OR 1.007; OR 1.005; OR 1.002; OR 3.577, OR 1.053, respectively; all p< 0.001). Stratified analyses indicated that FPI/FTI associated with an increased risk of prediabetes in men (OR 2.080, p = 0.042). FTI have a weak association with prediabetes risk in men and women (OR 0.987, p = 0.001; OR 0.994, p = 0.004, respectively). 2hPI could decrease prediabetes in women (OR 0.995, p = 0.037). Interesting, the sensitivity (86.0%) and AUC (0.942, p< 0.001) of combination (FPI+FTI+2hPI+2hTI+25(OH) D3+WC) were higher than the diagnostic value of these alone diagnoses. The optimal cutoff point of FPI, FTI, 2hPI, 2hTI, 25(OH) D3, and WC for indicating prediabetes were 15.5 mU/l, 66.5 mU/l, 71.5 mU/l, 460.5 mU/l, 35.5 ng/ml, and 80.5 cm, respectively. What's more, the combination (FPI+FTI+2hPI+2hTI+25(OH) D3+WC) significantly improved the diagnostic value beyond the alone diagnoses of prediabetes in men and women (AUC 0.771; AUC 0.760, respectively). CONCLUSION: The FPI, 2hPI, FTI, 2hTI, FPI/FTI, and WC significantly associated with an increased risk of prediabetes. The combination of FPI, FTI, 2hPI, 2hTI, 25(OH) D3, and WC might be used as diagnostic indicators for prediabetes.

Subgroup analysis of proinsulin and insulin levels reveals novel correlations to metabolic indicators of type 2 diabetes.

Proinsulin, insulin and proinsulin/insulin (P/I) ratio have been reported to be correlated with fasting plasma glucose (FPG) and Hemoglobin A1c (HbA1c) in whole population study therefore sensitive predictors of T2D progression. However, by analyzing data collected from 2018-2019 from a cohort of 1579 East Asian individuals from Hainan Province of China, we find that the associations of proinsulin, insulin and P/I ratio with diabetic indicators have distinct, sometimes opposite regression patterns in normal, prediabetic and diabetic subgroups. The strength of the associations are generally weak in normal and prediabetic groups, and only moderate in diabetic group between postprandial proinsulin and HbA1c, between postprandial insulin and FPG or HbA1c, and between postprandial P/I ratio and FPG or HbA1c. Receiver operating characteristic (ROC) curve analysis shows these parameters are weaker than age in predicting diabetes development, with P/I ratio being the weakest. Proinsulin and insulin levels are tightly associated with insulin sensitivity across all subgroups, as measured by Matsuda index. Together, our results suggest that proinsulin, insulin or P/I ratio are weak predictors of diabetes development in the whole population, urging the need for stratifying strategies and novel perspectives in evaluating and predicting hyperglycemia progression.

Increased Intact Proinsulin in the Oral Glucose Challenge Sample is an Early Indicator for Future Type 2 Diabetes Development - Case Reports and Evidence from the Literature.

BACKGROUND: Increased intact proinsulin in plasma is a highly specific biomarker for a major disruption of insulin-processing in the pancreatic ß-cells with associated insulin resistance. Increased intact proinsulin in morning fasting plasma indicates not only incipient diabetes, but also increased risk of macrovascular events in the patient - of ten times before an actual diagnosis of diabetes - due to the convergence of ß-cell dysfunction, insulin resistance, and chronic systemic inflammation. This has raised the question as to whether a marked increase in intact proinsulin levels after oral glucose load in healthy subjects might be considered as indicative for ß-cell dysfunction and prediabetes. METHODS: A previous study from 2011 examined, inter alia, intact proinsulin levels in blood samples from twenty healthy study participants at baseline and two hours after an oral glucose tolerance test (OGTT) with 75 g glucose. Seventeen of the participants showed normal glucose levels at baseline and at two hours compared to 4 participants with normal intact proinsulin levels at baseline but increased intact proinsulin levels at two hours. RESULTS: All four patients went on to develop type 2 diabetes in the following 5 years. None of the other subjects from the previous investigation developed type 2 diabetes. CONCLUSIONS: As also confirmed by recent literature, intact proinsulin provides a powerful, easily measured biomarker for ß-cell dysfunction and insulin resistance in type 2 diabetes, as well as risk of future cardiovascular events regardless of the stage of diabetes.

Studies of insulin and proinsulin in pancreas and serum support the existence of aetiopathological endotypes of type 1 diabetes associated with age at diagnosis.

AIMS/HYPOTHESIS: It is unclear whether type 1 diabetes is a single disease or if endotypes exist. Our aim was to use a unique collection of pancreas samples recovered soon after disease onset to resolve this issue. METHODS: Immunohistological analysis was used to determine the distribution of proinsulin and insulin in the islets of pancreas samples recovered soon after type 1 diabetes onset (<2 years) from young people diagnosed at age <7 years, 7-12 years and ≥13 years. The patterns were correlated with the insulitis profiles in the inflamed islets of the same groups of individuals. C-peptide levels and the proinsulin:C-peptide ratio were measured in the circulation of a cohort of living patients with longer duration of disease but who were diagnosed in these same age ranges. RESULTS: Distinct patterns of proinsulin localisation were seen in the islets of people with recent-onset type 1 diabetes, which differed markedly between children diagnosed at <7 years and those diagnosed at ≥13 years. Proinsulin processing was aberrant in most residual insulin-containing islets of the younger group but this was much less evident in the group ≥13 years (p < 0.0001). Among all individuals (including children in the middle [7-12 years] range) aberrant proinsulin processing correlated with the assigned immune cell profiles defined by analysis of the lymphocyte composition of islet infiltrates. C-peptide levels were much lower in individuals diagnosed at <7 years than in those diagnosed at ≥13 years (median <3 pmol/l, IQR <3 to <3 vs 34.5 pmol/l, IQR <3-151; p < 0.0001), while the median proinsulin:C-peptide ratio was increased in those with age of onset <7 years compared with people diagnosed aged ≥13 years (0.18, IQR 0.10-0.31) vs 0.01, IQR 0.009-0.10 pmol/l; p < 0.0001). CONCLUSIONS/INTERPRETATION: Among those with type 1 diabetes diagnosed under the age of 30 years, there are histologically distinct endotypes that correlate with age at diagnosis. Recognition of such differences should inform the design of future immunotherapeutic interventions designed to arrest disease progression.

Correlation between serum proinsulin levels and fatty liver: The Dynamics of Lifestyle and Neighborhood Community on Health Study.

AIMS/INTRODUCTION: We explored the association between fatty liver and pancreatic ß-cell dysfunction in a general population. MATERIALS AND METHODS: This cross-sectional study included 489 (53.8% women) community-dwelling Japanese adults. The extent of fatty liver was estimated using the fatty liver index (FLI). After all participants were divided into three groups - low (FLI <30), moderate (30 ≤FLI <60) or high (FLI ≥ 60) degree of fatty liver - serum proinsulin levels transformed into natural logarithms were compared among the three groups. To determine whether obesity modified the association of interest, the participants were stratified into two groups according to the median body mass index. Next, to determine whether hyperinsulinemia modified the association of interest, a similar stratified analysis was carried out using the median serum insulin level. RESULTS: Logarithm (proinsulin) was significantly higher in the high FLI group than in the moderate and low groups, and it was significantly higher in the moderate group than in the low group after adjustment for age and sex (P < 0.05). Logarithm (proinsulin) was significantly higher in the high FLI group than in the low FLI group, regardless of body mass index, after adjustment for age and sex. A similar pattern was observed regardless of serum insulin levels. CONCLUSIONS: The degree of fatty liver was positively associated with proinsulin level, regardless of the presence of obesity or hyperinsulinemia, suggesting that fatty liver reflects pancreatic ß-cell dysfunction.

Proinsulin/insulin ratio as a predictor of insulin resistance in patients with diabetic nephropathy.

Patients with Diabetic nephropathy (DN) have an increase in cardiovascular mortality, and since IR may be a contributing factor. Therefore, the aim of this study was to assess the role of pro insulin/insulin ratio as a predictor of insulin resistance in patients with diabetic nephropathy PATIENTS AND METHODS: A Case-control study was conducted in a total of 50 patients who diagnosed with type 2 diabetes mellitus from July 2017 to March 2018. The patients were divided into 2 groups according to presence of diabetic nephropathy. Demographic and clinical data were collected. RESULTS: There is a significant increase in serum pro insulin/insulin ratio in patients with diabetic nephropathy patients compared to patients without diabetic nephropathy An association was found between increase serum pro insulin/insulin ratio and increase predicting of insulin resistance. Cut-off value of serum pro insulin/insulin ratio ≥0.1145 with sensitivity and specificity of 92.3 and 60.3 respectively as a predictor for insulin resistance CONCLUSION: This study demonstrate a strong relationship between insulin resistance and CKD and this relationship was stronger in the presence of obesity. Pro insulin/insulin ratio was found to be a significant predictor for insulin resistance.

Proinsulin/insulin ratio as a predictor of insulin resistance and B-cell dysfunction in obese Egyptians ((insulin resistance & B-cell dysfunction in obese Egyptians)).

Insulin resistance (IR) and ß-cell dysfunction are key pathological features of type 2 diabetes mellitus, the aim of this study was to investigate the role of proinsulin level and proinsulin/insulin ratio in early prediction of beta cell dysfunction and insulin resistance in obese Egyptian adolescent. PATIENTS AND METHODS: This Case control study was conducted from June 2017 to March 2018. Total of 60 patients were divided into 2 groups after exclusion of patients with diabetes: normal body weight group and Obese group. Demographic, clinical data were collected. Laboratory investigation included fasting insulin, proinsulin, and estimation of HOMA IR and HOMA-B were done. RESULTS: There are highly statistically significant increase in obese group regarding insulin, proinsulin, proinsulin/insulin ratio and HOMA-IR while there is significant decrease in HOMA-B in this group. The best cutoff value of Proinsulin in prediction of beta cell function was ≥7.829 pmol/L with sensitivity 95.8, specificity 72.2. The best cutoff value of Proinsulin/insulin ratio in prediction of insulin resistance was ≥0.1545 with sensitivity 87.5, specificity 61.1. CONCLUSION: both beta cell dysfunction and insulin resistance increased in obese group and so increased risk of type 2 diabetes. We found that Pro insulin/insulin ratio is a significant predictor for insulin resistance and Proinsulin is good predictor for beta cell dysfunction.

Impaired Glucose-Stimulated Proinsulin Secretion Is an Early Marker of ß-Cell Impairment Before Prediabetes Stage.

CONTEXT: Evidence indicates that there is substantial impairment/loss of ß-cell function/mass even before prediabetes. Elevated plasma proinsulin is a sign of ß-cell dysfunction in patients with diabetes/prediabetes. However, the dynamic changes of glucose stimulated proinsulin secretion (GSPS) among nondiabetic individuals remain obscure. OBJECTIVE: To examine GSPS and glucose-stimulated insulin secretion (GSIS) among individuals with normal glucose tolerance (NGT) and impaired glucose tolerance (IGT) and to evaluate whether impaired GSPS is an early biomarker of ß-cell impairment in individuals with NGT who have subthreshold postprandial plasma glucose (PPG). DESIGN AND PARTICIPANTS: We evaluated GSPS and GSIS in 116 Chinese adults without diabetes (mean age ± SD, 33.31 ± 9.10 years; mean BMI, 25.24 ± 4.20 kg/m2) with fasting plasma glucose (FPG) < 5.6 mmol/L. Based on 2hPPG, the participants were divided into three groups: NGT1 (2hPPG < 6.67 mmol/L), NGT2 (6.67 ≤ 2hPPG < 7.78 mmol/L), and IGT (7.78 ≤ 2hPPG<11.1 mmol/L). We analyzed the association of GSIS and GSPS with commonly used indexes of ß-cell function, insulin resistance and family history of diabetes. RESULTS: Although not diagnosed with prediabetes, the individuals with NGT2 have clinical characteristics and high diabetes risk factors similar to those of the IGT group. However, unlike individuals with IGT, NGT2 participants did not exhibit a delayed GSIS. Instead, GSPS was impaired in NGT2 groups but not in NGT1 group. CONCLUSIONS: This study suggests that impaired GSPS, but not impaired GSIS, may serve as an early biomarker to identify a subpopulation of NGT with a high risk of diabetes.