BMC Endocrine Disorders最新文献

Background: Obesity is associated with an increased risk of reflux esophagitis (RE). Metabolic abnormalities have been implicated in the pathogenesis of RE. However, the role of metabolic status in the risk of RE among individuals with varying degrees of obesity remains unclear. Therefore, our study aimed to assess the association between metabolic obesity phenotypes and the risk of RE.

Methods: This study included a cohort of 24,368 participants aged 18 years and older who underwent upper gastrointestinal endoscopy at the First Affiliated Hospital of Dalian Medical University during health checkups between January 1, 2008, and December 31, 2021. Among these participants, a total of 9,947 individuals were classified into four groups based on their obesity phenotype: metabolically healthy normal weight (MHNW), metabolically healthy obesity (MHO), metabolically unhealthy normal weight (MUNW), and metabolically unhealthy obesity (MUO). To account for potential confounding factors, multivariate logistic regression analysis was applied to examine the association between metabolic obesity phenotypes and the risk of RE, with stratification by sex and age.

Results: Among all participants, the MUNW, MHO, and MUO groups demonstrated a higher risk of RE when compared to the MHNW group. After controlling for all confounding factors, the MUO group exhibited the highest risk, with an odds ratio (OR) of 3.723 (95% CI: 2.751-5.040) in males and 5.482 (95% CI: 4.080-7.367) in females. The prevalence of RE increased in proportion to the number of metabolic risk factors. Subgroup analyses, which accounted for all confounders, revealed that the MHO, MUNW, and MUO phenotypes were associated with an elevated risk of RE in individuals under 60 years old as well as those over 60 years old. Interestingly, a more comprehensive analysis indicated that obesity may have a greater effect on the risk of RE than metabolic disorders.

Conclusions: Both metabolic disorders and obesity were associated with an increased risk of RE. The effect of obesity on RE prevalence may be stronger than that of metabolic disorders, emphasizing the significance of obesity regardless of metabolic health status. Clinical interventions should address not only obesity but also metabolic disorders in order to reduce the risk of RE.

Background: The Metabolic Insulin Resistance Score (METS-IR) is a non-invasive proxy for insulin resistance (IR) that has been newly developed in recent years and has been shown to be associated with diabetes risk. Our aim was to assess the predictive value of METS-IR for the future development of diabetes and its temporal differences in people of different sex, age, and body mass index (BMI).

Methods: The current study included 15,453 baseline non-diabetic subjects in the NAGALA cohort and then grouped according to the World Health Organization's (WHO) recommended criteria for age and BMI. Multivariate Cox regression and time-dependent receiver operator characteristics (ROC) curves were used to analyze the value of METS-IR in assessing and predicting the risk of diabetes in people of different sexes, ages, and BMIs.

Results: 373 individuals developed diabetes during the observation period. By multivariate COX regression analysis, the development of future diabetes was significantly associated with increased METS-IR, and this positive association was stronger in women than in men and in individuals < 45 years than in individuals ≥ 45 years; while no significant differences were observed between non-obese and overweight/obesity individuals. Using time-dependent ROC analysis we also assessed the predictive value of METS-IR for future diabetes at a total of 11-time points between 2 and 12 years. The results showed that METS-IR had a higher predictive value for the future development of diabetes in women or individuals < 45 years of age compared to men or individuals ≥ 45 years of age for almost the entire follow-up period. Furthermore, across different BMI categories, we also found that in the short term (3-5 years), METS-IR had a higher predictive value for the development of diabetes in individuals with overweight/obesity, while in the medium to long term (6-12 years), METS-IR was more accurate in predicting the development of diabetes in non-obese individuals.

Conclusions: Our study showed that METS-IR was independently associated with the development of future diabetes in a non-diabetic population. METS-IR was a good predictor of diabetes, especially for women and individuals < 45 years old for predicting the future risk of developing diabetes at all times.

Background: Branched-chain amino acid (BCAA) has been reported to be associated with obesity, the association of BCAA with visceral fat area (VFA) and subcutaneous fat area (SFA) remained unclear in patients with type 2 diabetes.

Methods: This cross-sectional study was conducted in 284 patients with type 2 diabetes mellitus. Enzyme-linked immunospecific assay was used to measure levels of serum BCAA and branched-chain keto acid (BCKA). VFA and SFA were measured with bio-impedance analysis method. The association between BCAA and VFA was calculated using Pearson correlation and multivariable linear regression analysis.

Results: There were significant differences in the means of body mass index, waist circumstance, SFA and VFA among the three groups divided by total BCAA tertiles (all p < 0.05). Compared to patients with lower levels of serum BCAA (the lower tertile group), the means of VFA and SFA were significantly larger in the middle and upper tertile groups (all p < 0.05). However, the differences in above obesity parameters were nonsignificant according to various BCKA tertiles. Pearson correlation analysis also demonstrated that BCAA levels were positive associated with each obesity parameter (p < 0.05). Nevertheless, multivariable linear regression analysis showed that levels of serum BCAA were correlated with VFA, BMI and WC (all p < 0.05) rather than SFA after adjusted for other confounders.

Conclusions: levels of serum BCAA were more closely correlated with VFA than SFA, prospective studies should be warranted to further explore the mechanism mediating BCAA and visceral fat accumulation in Human beings.

Clinical trial number: Not applicable.

Background: Obesity is a serious health problem with increasing incidence. worldwide and remains one of the most important causes of preventable deaths. We aimed to examine the relationship between Vitamin B12 and Folic acid, which have an important role for human life, and homocysteine is widely recognized for its association with the development of cardiovascular disease, although its role as an independent risk factor remains a topic of ongoing debate.

Materials and methods: We evaluated 126 patients who underwent bariatric metabolic surgery between September 2019-September 2020. In addition to demographic characteristics of the patients, weight, Vitamin B12, folate, HbA1c, cholesterol, triglyceride, ferritin, serum iron, albumin levels at preoperative, postoperative 1st month, 6th month, 12th month follow-ups were analyzed.

Results: Patients with the desired biochemical parameters at the determined follow-up points were identified and two groups were formed as RYGB(n = 43) and SG(n = 7) patients. When biochemical parameters were analyzed between the groups, homocysteine, HbA1c, HDL Cholesterol, VLDL Cholesterol, Total Cholesterol, Triglycerides, Ferritin, Serum Iron levels showed a statistical difference (p < 0.001). Folate (p = 0.064) and albumin (p = 0.257) did not show a significant difference over time. The change in vitamin B12 (p = 0.409) over time was not significant in the SG group, whereas a significant difference was observed in the RYGB group (p < 0.001). When we established a marginal model to determine the factors affecting the change in homocysteine over time, vitamin B12 and folate values.

Conclusions: The relationship between Vitamin B12, folate and homocysteine is important in order to better understand the complications that develop in bariatric metabolic surgery patients, to prevent possible complications and to better manage the process.

Background: The prevalence of steatotic liver disease (SLD) in patients with type 2 diabetes (T2DM) exceeds 50%. This study aimed to investigate the clinical characteristics of SLD and liver fibrosis in Chinese patients with T2DM.

Methods: Inpatients from 2021 to 2023 were included in the study. Fatty liver index (FLI) and fibrosis-4 (FIB-4) were calculated to assess hepatic steatosis and fibrosis respectively. Statistical analysis was completed by SPSS v25 and GraphPad Prism v8.0.1.

Results: Of the 1466 participants, about one-third of the patients in T2DM-SLD group were diagnosed with liver fibrosis (LF), and the percentage of patients over 50 years old was 85.9%. Patients with SLD had higher levels of BMI, blood pressure, liver enzymes, fasting blood glucose (FBG), HbA1c, C-peptide, total cholesterol (TC) and triglyceride (TG) (P<0.05 for all). Patients with liver fibrosis had lower TC, TG, hemoglobin (Hb), erythrocyte count (RBC), leukocyte count (WBC) and platelet (PLT) levels (P<0.05 for all). Compared with simple T2DM and SLD-NLF (non-liver fibrosis) groups, for patients over 50 years old, the prevalence of coronary heart disease, stroke, tumor, and diabetic nephropathy was higher in patients with liver fibrosis. Liver fibrosis might be the risk factor of arterial stiffness, stroke, coronary heart disease and numbness based on multivariable logistic regression analysis.

Conclusion: Hepatic steatosis and fibrosis were common in patients with T2DM. Liver fibrosis was relevant to many macrovascular and microvascular diabetic complications.

Background and objective: The triglyceride-glucose (TyG) index, a surrogate marker for insulin resistance, has been proposed as a predictor of cardiovascular events. However, the combined impact of the TyG index and obesity indicators, such as body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WHtR), on stroke risk was not fully understood. This study aimed to investigate the association between the TyG index combined with these obesity indicators and stroke risk in the Chinese population.

Materials and methods: Data on 17,708 participants aged 45 years or older for this study were collected from the China Health and Retirement Longitudinal Study (CHARLS) from baseline (2011) to the Wave 5 follow-up (2020). Cox proportional hazards model, restricted cubic spline (RCS) and receiver operating characteristic (ROC) analysis were employed to examine the association between the TyG index and its combined obesity-related indicators with stroke. Mediation analysis was conducted to explore the mutual potential mediating role of TyG and obesity indicators in the above relationships.

Results: A total of 8,207 participants with an average age of 58.2 years were investigated, of which 11.0% were stroke individuals, 44.80% were men and 84.6% were from rural areas. TyG, TyG-BMI, TyG-WHtR, TyG-WC were significantly higher in stroke subjects than in the non-stroke subjects (P < 0.001), and were significantly and positively associated with stroke in all 3 models (P < 0.05). Restricted cubic spline models revealed nonlinear associations between TyG and TyG-BMI with stroke (P-overall < 0.001, P-nonlinear = 0.003 for TyG, and P-overall < 0.001, P-nonlinear = 0.028 for TyG-BMI), while TyG-WC and TyG-WHtR (P-overall < 0.001 and P-nonlinear > 0.05) demonstrated linear associations with stroke after adjusting for covariates. TyG-WHtR, TyG-BMI and TyG-WC had more robust predictive power than TyG for risk of stroke. TyG-WHtR or TyG-WC had the highest predictive power for stroke (AUC:0.696, 95% CI 0.677-0.715), slightly higher than the other indicators. Associations between TyG, TyG-WC, TyG-WHtR, and TyG-BMI with stroke were found to be stronger among individuals who were ≥ 55 years of age, male. The relationship between TyG and stroke was significantly mediated by BMI, WHtR and WC (15.79%, 21.72%, and 24.06% respectively), while the relationship between these obesity measures and stroke was significantly mediated by TyG (18.48%, 14.45%, and 14.70% respectively).

Conclusion: The combination of TyG and obesity-related indicators was significantly associated with stroke risk, and could improve predictive power for stroke compared to the single TyG. Obesity indicators and TyG mediated each other in their respective associations with stroke risk.

Background: Limited published data exist on the association between parity (number of deliveries) and diabetes mellitus (DM). This study was conducted to evaluate the association between parity and type 2 DM (T2DM) among Sudanese women.

Method: A multistage sampling survey was conducted in four villages in the River Nile State, Sudan, between July and September 2022. The World Health Organization's three-level stepwise questionnaire was adopted to collect women's sociodemographic characteristics (age, sex, height, weight, marital status, parity, education level, occupation, detailed obstetric history, and family history of T2DM). Multivariate analyses were performed.

Results: A total of 397 women were recruited. Their median (interquartile range) age was 45.0 (33.0‒55.7) years. A total of 154 women (38.8%) were nulliparous, whereas 93 (23.4%), 70 (17.6%), and 80 (20.2%) had para 1‒3, 4 or 5, and more than 5, respectively. A total of 112 (28.2%) women had T2DM. In multivariate analysis, older age (adjusted odds ratio, AOR, 1.04, 95%, confidence interval, CI, 1.02‒1.06), high parity (AOR, 1.1, 95% C, 1.01‒1.20), and a family history of DM (AOR, 3.26, 95% CI, 1.98‒5.38) were associated with T2DM. Compared with the nulliparity, para 1‒3 (AOR, 2.33; 95% CI, 1.17‒4.61), para 4 or 5 (AOR, 2.12; 95% CI, 1.04‒4.30), and para > 5 (AOR, 2.16; 95% CI, 1.09‒4.27) were at higher risk of T2DM. In women aged < 50 years, high parity (AOR, 1.22; 95% CI, 1.06‒1.44) was associated with T2DM. Compared with the nulliparous women, para 4 or 5 (AOR, 3.47; 95% CI, 1.16‒10.34) and para > 5 (AOR, 4.63; 95% CI, 1.54‒13.87) were associated with T2DM, whereas para 1‒3 was not associated with T2DM. In the women aged ≥ 50 years, parity and parity groups were not associated with T2DM.

Conclusion: There is a high prevalence of T2DM among Sudanese women. Parity and high parity are significant predictors of T2DM among these women in this part of Sudan.

Background and aims: In both type 1 diabetes (T1DM) and type 2 diabetes (T2DM), previous studies have yielded inconsistent findings regarding whether the levels of the soluble receptor for advanced glycation end products (sRAGE) are significantly altered. This meta-analysis aims to systematically evaluate the changes of sRAGE levels in patients with T1DM and T2DM.

Methods: PubMed, Embase, and Web of Science were systematically searched from inception until April 2024. We included studies reporting sRAGE levels in individuals with T1DM or T2DM, using non-diabetic healthy individuals as the control group. A random-effects model was applied to conduct a meta-analysis of effect measures (means and SDs).

Results: 49 datasets from 32 studies, involving 4948 subjects, met the inclusion criteria. A random-effects model meta-analysis showed that sRAGE levels in T1DM subjects (SMD 0.45, CI: 0.16-0.73, P = 0.002) and T2DM subjects with complications (SMD 1.59, CI: 0.77-2.41, P = 0.0001) were significantly higher than those in the control groups. No statistically significant change in sRAGE levels was observed in T2DM subjects without complications (SMD 0.01, CI: -0.61-0.64, P = 0.97). A decrease in sRAGE levels was observed in subjects with newly diagnosed T2DM (SMD-0.40, CI: -0.71- -0.09, P = 0.01).

Conclusion: This meta-analysis indicated that sRAGE levels increased in T1DM patients and T2DM patients with complications, while they decreased in newly diagnosed T2DM patients. No significant difference was observed in T2DM patients without complications. Clearly, changes in sRAGE levels in patients with T1DM or T2DM are not uniform, but depend on the different types and stages of the disease.

Prospero registration number: CRD42024521252.

Aims: Night blindness (NB), an important manifestation of VA deficiency, may be associated with the odds of diabetes. The aim of this study was to explore the probable association between NB history and diabetes in Chinese community-dwelling adults.

Methods: This multi-center, cross-sectional study enrolled a total of 5664 participants aged 18-82 years from eight sites in China. Information on demographics and medical history was collected using a standardized questionnaire. Diabetes was diagnosed based on the oral glucose tolerance test or a self-reported history. NB history was ascertained by a face-to-face interview with reference to the recommendation by the World Health Organization. Logistic regression analysis was used to evaluate the association between NB history and the odds of diabetes.

Results: A total of 5049 participants were finally included, with 252 ascertained with NB history and 1076 with diabetes. The mean age of included participants was 52.9 years, and the percentage of participants with NB history was significantly higher in participants with diabetes than those without (7.0% vs. 4.5%). The multivariable adjusted odds ratio for diabetes was 1.41 (95% confidence interval 1.06, 1.89) in participants with NB history compared with those without. Furthermore, mediation analysis showed that obesity, as assessed by waist-height ratio, partially mediated the relationship between NB history and increased odds of diabetes.

Conclusions: The results suggest that NB history might be associated with increased odds of diabetes in Chinese community-dwelling adults.

Background: Metabolic syndrome (MetS) is one of the most significant public health issues worldwide, which increases the risk of various diseases. Epidemiological evidence suggests that newer anthropometric measures, such as a body shape index (ABSI) and body roundness index (BRI) can be used to predict MetS. However, anthropometric measures to predict the risk for MetS should be clarified in each population. Therefore, this study aimed to examine the association between ABSI, BRI, and MetS risk factors among overweight and obese Iranian adults.

Methods: This cross-sectional study included 347 overweight and obese individuals [body mass index (BMI) > 25 kg/m2] aged 20-50 years in Tabriz, Iran. Anthropometric measures were assessed, including BMI, waist circumference (WC), and waist-to-hip ratio (WHR). Additionally, ABSI and BRI were calculated based on the collected data. Blood pressure was measured using standard protocols. Body composition also was measured using body impedance analysis (BIA). Enzymatic-colorimetric methods were used to assess serum glucose and lipids, and enzyme-linked immunosorbent assay (ELISA) kits were used to measure insulin levels.

Results: Participants with higher ABSI exhibited significantly higher systolic blood pressure (SBP) (P = 0.001), diastolic blood pressure (DBP) (P = 0.010), and triglyceride (TG) levels (P < 0.001), along with significantly lower high-density lipoprotein cholesterol (HDL-C) levels (P < 0.001). In the crude model, individuals in the highest ABSI tertile (tertile 3) had a higher likelihood of having higher SBP (OR: 1.032; 95% CI: 1.014-1.051) and DBP (OR: 1.33; 95% CI: 1.009-1.058), as well as a significant association with lower HDL-C levels (OR: 0.945; 95% CI: 0.918-0.973). Additionally, both ABSI tertile 2 (OR: 1.005; 95% CI: 1.001-1.008) and tertile 3 (OR: 0.993; 95% CI: 1.003-1.011) were linked to a higher likelihood of having higher TG levels. No significant associations were found between BRI tertiles and MetS risk factors.

Conclusion: According to our results, ABSI and BRI are poor predictors of MetS risk variables, in overweight and obese individuals. High ABSI is only slightly linked with high SBP, DBP, and TG and low HDL-C. However, longitudinal and long-term investigations are encouraged to verify the efficacy of these two measures.