Diabetology & Metabolic Syndrome最新文献

{"title":"The independent association between 25 (OH) vitamin D deficiency, HOMA-IR, and lipid profile with APOE genotyping in obese cases with and without T2DM.","authors":"Nagla Usama, Amr El-Sayed, Mohamed Gamal, Salma Mekheimer, Khaled Elhadidy, Mohamed Awadein, Mahmoud Farid","doi":"10.1186/s13098-024-01427-4","DOIUrl":"10.1186/s13098-024-01427-4","url":null,"abstract":"<p><strong>Introduction: </strong>Vitamin D deficiency, insulin resistance, dyslipidemia, and APOE genotyping are implicated in the pathogenesis of obesity and type 2 diabetes mellitus (T2DM). We wanted to find out if there was a link between a lack of 25(OH) vitamin D, HOMA-IR, and lipids and APOE genotyping in obese people with and without T2DM.</p><p><strong>Methods: </strong>We divided 300 Egyptians of both sexes into three groups in a case-control study: 100 obese cases with a body mass index of more than 30, 100 obese cases diagnosed with T2DM, and 100 controls with a body mass index of less than 30. Levels of 25 (OH) vitamin D, fasting blood sugar (FBS), HbA1C, fasting insulin, HOMA-IR, and lipid profile parameters were measured, and APOE genotypes were assessed using Applied BiosystemsTM TaqMan^® SNP Genotyping Assays.</p><p><strong>Results: </strong>Higher levels of FBS, fasting insulin, HOMA-IR, and dyslipidemia were found in obese people with and without T2DM compared to the control group (p < 0.05). Lower levels of 25(OH) vitamin D were also found. Insulin resistance and lipid profile parameters, particularly in obese cases with T2DM, inversely correlate with vitamin D deficiency. The APOE genotyping analysis revealed strong links between vitamin D levels and certain APOE genotypes. Independent of metabolic parameters, higher vitamin D levels were associated with lower odds of E3/E4 and E4/E4 genotypes among obese cases with T2DM.</p><p><strong>Conclusion: </strong>This study highlights the independent role of vitamin D deficiency in modulating APOE genotypes in obese T2DM individuals. The findings suggest potential implications for personalized interventions targeting vitamin D status to mitigate genetic predispositions to metabolic disorders such as obesity and T2DM.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11321095/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141975262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Causal influence of immune factors on the risk of diabetic retinopathy: a mendelian randomization study","authors":"Yuanyuan Li, Ying Xiang, Bo Mou, Xiusheng Song","doi":"10.1186/s13098-024-01441-6","DOIUrl":"https://doi.org/10.1186/s13098-024-01441-6","url":null,"abstract":"Diabetic retinopathy (DR) is a prevalent microvascular complication in diabetic patients. Various mechanisms have been implicated in the pathogenesis of DR. Previous studies have observed the relationship between immune factors and DR, but the causal relationship has not been determined. We conducted a two-sample Mendelian randomization (MR) analysis of 731 immune cells and DR, using publicly available genome-wide association study (GWAS) summary statistics, to evaluate potential causal relationships between them. Four types of immune traits were included in the analysis through flow cytometry. GWAS statistics for DR were obtained from the Finngen database, which performed GWAS on 190,594 European individuals (Ncase = 14,584, Ncontrol = 176,010) to assess genetically predicted DR. The primary method used to perform causality analysis was inverse variance weighting (IVW). Following false discovery rate (FDR) correction, 11MFI-DR, 5AC-DR, 5RC-DR, and 1MP-DR reached a significant causal association level (PFDR < 0.05). Notably, all AC traits exhibited potential associations with a decreased risk of DR(OR < 1), while a majority of MFI traits, along with the singular MP trait, exhibited potential associations with an increased risk of DR (OR > 1). The highest proportion of T-cell subsets in the final results. This study elucidates that the progression of DR is intricately influenced by immune responses, thereby confirming the immunological susceptibility of DR. Our findings may offer new targets for diagnosing and treating DR, as well as aid in developing therapeutic strategies from an immunological standpoint.","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141933948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nonlinear association between the triglyceride-glucose index and diabetes mellitus in overweight and obese individuals: a cross-sectional retrospective analysis.","authors":"Yongbing Sun, Yuang Gu, Yang Zhou, Ao Liu, Xinbei Lin, Xuan Wang, Yawei Du, Xue Lv, Jing Zhou, Zhonglin Li, Xiaoling Wu, Zhi Zou, Shewei Dou, Michael Zhang, Jiadong Zhu, Feifei Shang, Fengli Li, Yangxi Hu, Hao Li, Yongli Li","doi":"10.1186/s13098-024-01434-5","DOIUrl":"10.1186/s13098-024-01434-5","url":null,"abstract":"<p><strong>Background: </strong>The triglyceride-glucose (TyG) index is linked to both the development and progression of diabetes, while obesity remains a significant risk factor for this disease. However, the relationship between the TyG index and overweight or obese diabetes remains unclear.</p><p><strong>Methods: </strong>This study was a cross-sectional analysis of data from 40,633 participants with body mass index (BMI) ≥ 24 kg/m² who were screened from January 2018 to December 2023 at Henan Provincial People's Hospital. Participants were divided into groups of overweight or obese individuals with diabetes and those without diabetes according to the diabetes diagnostic criteria. The TyG index, the dependent variable, was determined using the equation ln [fasting triglycerides (mg/dL) × fasting glucose (mg/dL)/2]. We explored the association between TyG index and diabetes in overweight or obese individuals through multivariate logistic regression, subgroup analysis, generalized additive models, smoothed curve fitting, and analysis of threshold effects.</p><p><strong>Results: </strong>Patients who were overweight or obese and had diabetes had higher TyG index levels than those without diabetes. After adjusting for confounders, our findings indicated a significant association between the TyG index and the risk of diabetes in overweight or obese individuals [odds ratio (OR) = 7.38, 95% confidence interval (CI): 6.98-7.81]. There was a J-shaped nonlinear association between TyG index and diabetes. When TyG index was > 4.46, the risk of diabetes increased sharply. Notably, a high baseline TyG index (Q4 group) correlated with a notably greater risk of diabetes than did the Q1 group, with an OR of 22.72 (95% CI: 20.52-25.16). Subgroup analysis revealed that the association between TyG and diabetes was stronger in females than in males (OR = 7.57, 95% CI: 6.76-8.48,), more significant in individuals with a BMI of 24-28 kg/m² than in those with a BMI ≥ 28 kg/m² (OR = 8.40, 95% CI: 7.83-9.02), and increased with age (OR = 8.15, 95% CI: 7.25-9.17) (all P for interaction < 0.001).</p><p><strong>Conclusion: </strong>Among overweight or obese individuals, a higher TyG index is associated with an elevated risk of diabetes, especially when TyG is > 4.46. Furthermore, factors such as sex, age, and BMI significantly influence the risk of diabetes in overweight or obese individuals. Specifically, older women with a BMI of 24-28 kg/m² are at a greater risk of diabetes under similar TyG index conditions.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11308203/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141906146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Risk of incident type 2 diabetes in male NAFLD and NAFLD-free smokers: a 7-year post-cessation study.","authors":"Jiarong Xie, Pengyao Lin, Linxiao Hou, Min Miao, Zhongwei Zhu, Youming Li, Chaohui Yu, Chengfu Xu, Lei Xu","doi":"10.1186/s13098-024-01435-4","DOIUrl":"10.1186/s13098-024-01435-4","url":null,"abstract":"<p><strong>Background: </strong>We aimed to investigate the post-cessation T2DM risk in male NAFLD and NAFLD-free smokers in a 7-year cohort study.</p><p><strong>Methods: </strong>The study population was male adults who underwent annual health checkups in a 7-year cohort study. Recent quitters were categorized into four groups based on their weight gain during follow-up: < 0 kg, 0-1.9 kg, 2.0-3.9 kg, and ≥ 4.0 kg. Cox proportional hazard models, adjusted for various variables, were used to estimate hazard ratios (HRs) for the association between post-cessation weight gain and incident T2DM in NAFLD and NAFLD-free individuals.</p><p><strong>Results: </strong>At baseline, we included 1,409 NAFLD and 5150 NAFLD-free individuals. During a total of 39,259 person-years of follow-up, 222 (15.8%) NAFLD patients and 621 (12.1%) NAFLD-free participants quit smoking, with the corresponding means (standard deviations) of post-cessation weight gain being 2.24 (3.26) kg and 1.15 (3.51) kg, respectively. Among NAFLD individuals, compared to current smokers, the fully adjusted HRs (95% CI) for incident T2DM were 0.41 (0.06-3.01), 2.39 (1.21-4.70), 4.48 (2.63-7.63), and 6.42 (3.68-11.23) for quitters with weight gains < 0 kg, 0.0-1.9 kg, 2.0-3.9 kg, and ≥ 4.0 kg, respectively. For NAFLD-free individuals, we only observed a significant association between post-cessation weight gain ≥ 4.0 kg and the risk of incident T2DM (P < 0.001). Further analysis revealed that the impact of post-cessation weight gain on T2DM risk was not affected by alcohol consumption or obesity status at baseline.</p><p><strong>Conclusions: </strong>Mild post-cessation weight gain significantly increased the risk of T2DM in male NAFLD patients but not in male NAFLD-free individuals. Therefore, it is recommended that individuals with NAFLD manage their weight after quitting smoking.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11308574/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141906147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Metabolic syndrome is associated with mortality in elderly patients with acute respiratory distress syndrome.","authors":"Xiao Xu, Huajuan Xu, Ming Li, Shuying Yan, Huilin Chen","doi":"10.1186/s13098-024-01420-x","DOIUrl":"10.1186/s13098-024-01420-x","url":null,"abstract":"<p><strong>Background: </strong>This study aims to evaluate the association of metabolic syndrome (MetS) with the risk of all-cause mortality in elderly patients with acute respiratory distress syndrome (ARDS).</p><p><strong>Methods: </strong>Elderly ARDS patients (≥ 65 years) enrolled from our hospital between January 2018 and July 2023 were divided into the MetS group or the non-MetS group. The outcomes were 28-day and 90-day all-cause mortality rates in the total population and two subgroups stratified by age (65-75 years and ≥ 75 years). Multivariate Cox regression was employed to assess the association of MetS with all-cause mortality, after controlling for potential cofounding factors.</p><p><strong>Results: </strong>A total of 946 patients were divided into the MetS group (n = 410) or the non-MetS group (n = 536). The 28-day and 90-day all-cause mortality rates were significantly higher for MetS group compared to non-MetS group in the total population and two subgroups (all P < 0.01). Multivariate Cox regression indicated that MetS was significantly associated with a higher risk of 90-day all-cause mortality in the total population (HR = 1.62, 95% CI: 1.22-2.15; P < 0.01), and subgroups of patients aged 65-75 years (HR = 1.52, 95% CI: 1.04-2.21; P = 0.03) and ≥ 75 years (HR = 1.90, 95% CI: 1.23-2.94; P < 0.01). Moreover, with each MetS criterion added from 0 to 1 to 2, 3, and 4 of 4 criteria, both 28-day and 90-day all-cause mortality rates significantly increased (both P < 0.01).</p><p><strong>Conclusion: </strong>MetS was associated with higher risks of 28-day and 90-day all-cause mortality in elderly patients with ARDS.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11308304/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141906145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Obesity and 1-year all-cause survival of adult intensive care patients with heart failure: data from the MIMIC-IV.","authors":"Fei Xu, Cheng Zhang","doi":"10.1186/s13098-024-01428-3","DOIUrl":"10.1186/s13098-024-01428-3","url":null,"abstract":"<p><strong>Background: </strong>Heart failure is a disease that threatens global public safety. In recent years, the obesity paradox has been studied in cardiovascular disease and other fields. With the progress of aging, metabolic changes and regulation of fat function, it also provides many bridges for the dialogue between disease and molecular metabolism. The purpose of this study is to investigate the effect of obesity on the outcome of adult intensive care patients with heart failure combined with age factors.</p><p><strong>Method: </strong>Data were derived from the fourth-generation Medical Information Marketplace for Intensive Care (MIMIC-IV version2.1) using structured query language on the Navicat (12.0.11) platform. People were divided into two groups based on the body mass index (BMI), one group with BMI ≥ 30 kg/m² and another group with BMI < 30 kg/m². Afterwards, the patients were divided into two subgroups based on their ages. One group included patients aged<60, and the other included patients aged ≥ 60. The extracted information includes demographic characteristics, laboratory findings, comorbidities, scores. Main results included in-hospital mortality, ICU mortality, and 1-year mortality. Secondary outcomes included hospital interval and ICU interval, use of renal replacement therapy, and rates of noninvasive and invasive ventilation support.</p><p><strong>Result: </strong>In this cohort study, 3390 people were in the BMI<30 group, 2301 people were in the BMI ≥ 30 group, 960 people were in the age<60 group, and 4731 people were in the age ≥ 60 group, including 3557 patients after propensity score matching in high age group. Among patients aged ≥ 60, BMI ≥ 30 group vs. BMI<30 group showed significantly lower in-hospital mortality (13% vs. 16%) and one-year mortality (41% vs. 55%), respectively. Neither primary nor secondary outcomes were significantly described in the competition among patients aged under 60. Restricted cubic spline reveals a J-shaped nonlinear association between BMI and clinical endpoints within the entire cohort. Kaplan-Meier curves revealed a survival advantage in BMI ≥ 30 group (p < 0.001). Following age stratification, a beneficial effect of BMI categories on one-year mortality risk was observed in heart failure patients aged ≥ 60 (Univariable HR, 0.71, 95% CI, 0.65-0.78, p < 0.001; Multivariable HR, 0.74, 95% CI, 0.67-0.81, p < 0.001), but not in those under 60 years old.</p><p><strong>Outcome: </strong>In ICU patients with heart failure, obesity offers a survival benefit to those aged ≥ 60. No obesity paradox was observed in patients younger than 60 years old. The obesity paradox applies to patients aged ≥ 60 with heart failure.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11304645/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141901251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Usefulness of estimated glucose disposal rate in detecting heart failure: results from national health and nutrition examination survey 1999-2018.","authors":"Daoliang Zhang, Wenrui Shi, Tao An, Chao Li, Zhaohui Ding, Jian Zhang","doi":"10.1186/s13098-024-01402-z","DOIUrl":"10.1186/s13098-024-01402-z","url":null,"abstract":"<p><strong>Background: </strong>Estimated glucose disposal rate (eGDR) is a novel, clinically available, and cost-effective surrogate of insulin resistance. The current study aimed to assess the association between eGDR and prevalent heart failure (HF), and further evaluate the value of eGDR in detecting prevalent HF in a general population.</p><p><strong>Methods: </strong>25,450 subjects from the National Health and Nutrition Examination Survey 1999-2018 were included. HF was recorded according to the subjects' reports. Logistic regression was employed to analyze the association between eGDR and HF, the results were summarized as Per standard deviation (SD) change. Then, subgroup analysis tested whether the main result from logistic regression was robust in several conventional subpopulations. Finally, receiver-operating characteristic curve (ROC) and reclassification analysis were utilized to evaluate the potential value of eGDR in improving the detection of prevalent HF.</p><p><strong>Results: </strong>The prevalence of reported HF was 2.96% (753 subjects). After adjusting demographic, laboratory, anthropometric, and medical history data, each SD increment of eGDR could result in a 43.3% (P < 0.001) risk reduction for prevalent HF. In the quartile analysis, the top quartile had a 31.1% (P < 0.001) risk of prevalent HF compared to the bottom quartile in the full model. Smooth curve fitting demonstrated that the association was linear in the whole range of eGDR (P for non-linearity = 0.313). Subgroup analysis revealed that the association was robust in age, sex, race, diabetes, and hypertension subgroups (All P for interaction > 0.05). Additionally, ROC analysis displayed a significant improvement in the detection of prevalent HF (0.869 vs. 0.873, P = 0.008); reclassification analysis also confirmed the improvement from eGDR (All P < 0.001).</p><p><strong>Conclusion: </strong>Our study indicates that eGDR, a costless surrogate of insulin resistance, may have a linear and robust association with the prevalent HF. Furthermore, our findings implicate the potential value of eGDR in refining the detection of prevalent HF in the general population.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11299381/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141893012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Interacting and joint effects of triglyceride-glucose index and blood pressure on cardiovascular diseases risk: a prospective cohort study.","authors":"Haozhe Cui, Qian Liu, Zhiming Zhao, Xiangming Ma","doi":"10.1186/s13098-024-01433-6","DOIUrl":"10.1186/s13098-024-01433-6","url":null,"abstract":"<p><strong>Aims: </strong>The triglyceride-glucose (TyG) index and hypertension (HTN) are established risk factors of CVD. However, there is a dearth of studies investigating the synergistic influence of the elevated TyG index and HTN on CVD risk, as well as any potential interaction between these factors.</p><p><strong>Method: </strong>For this investigation, we enlisted 88,384 individuals from the Kailuan Study who did not have a history of stroke, myocardial infarction, or cancer at baseline. Incidences of CVD between 2006 and 2021 were confirmed through a thorough review of medical records. Participants were categorized into 6 groups according to BP status(normal/elevated BP, stage 1 and stage 2) or the TyG index(low and elevated group), respectively. The Cox proportional hazard regression models were used to assess the association of BP status and TyG index with incident CVD. The multiplicative and additive interactions were also determined.</p><p><strong>Results: </strong>Following a mean follow-up period of 13.66 ± 3.24 years, incidents of CVD, MI, and stroke were observed in 8,205, 1,728, and 6,705 individuals, respectively. The BP category and TyG index additively increased the risk of CVD, MI and stroke. There were significant interacting and joint effects of TyG index and BP status on CVD risk. Additionally, stratification analysis further confirmed that the relative contribution of hypertension to the CVD development decreased with deteriorating TyG index and that of TyG index was attenuated with increasing BP status.</p><p><strong>Conclusion: </strong>Our study demonstrated that a significant interaction between TyG index and BP status on the risk of CVD.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11297715/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141878527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association of triglyceride-glucose index with helicobacter pylori infection and mortality among the US population","authors":"Xing-Yun Zhu, Yu-Jun Xiong, Xiang-Da Meng, Hua-Zhao Xu, Lili Huo, Wei Deng","doi":"10.1186/s13098-024-01422-9","DOIUrl":"https://doi.org/10.1186/s13098-024-01422-9","url":null,"abstract":"Limited research has explored the potential association between the Triglyceride-Glucose (TyG) and mortality, especially in individuals with Helicobacter pylori (H. pylori) infection. This study seeks to investigate the correlation between the TyG index and H. pylori infection and investigate whether the associations between the TyG index exposure and all-cause mortality are mediated by H. pylori infection. The study utilized data from the National Health and Nutrition Examination Survey (NHANES) 1999–2018, incorporating a final sample size of 2,187 participants. Both univariable and multivariable-adjusted logistic regression analyses were employed to examine the relationship between H. pylori infection and relevant covariates. To assess the association between TyG index, and all-cause mortality in individuals with or without H. pylori infection, Cox regression analysis, and restricted regression cubic spline analysis were implemented. A significant positive correlation was observed between the TyG index and an elevated risk of H. pylori infection [OR 1.157, 95% CI (1.383 ~ 1.664)]. This correlation persisted even after adjusting for confounding factors [OR 1.189, 95% CI (1.003, 1.411), P < 0.05]. Furthermore, in patients with positive H. pylori infection, a noteworthy nonlinear correlation between the TyG index and all-cause mortality was identified (P = 0.0361). With an increase in the TyG index, all-cause mortality exhibited a corresponding rise, particularly following adjustment for all potential confounding factors. Conversely, in patients with negative H. pylori infection, no significant association was observed between the TyG index and all-cause mortality after adjusting for potential confounding factors. A higher TyG index was linked to increased H. pylori infection risks. Participants in the higher quantile group of the TyG index are positively associated with higher all-cause mortality compared to the higher quantile group of the TyG index in H. pylori-positive participants instead of H. pylori-negative participants.","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141871278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prevalence and factors associated with unhealthy metabolic status according to body mass index: analysis of a national nutritional survey","authors":"Víctor Juan Vera-Ponce, Fiorella E. Zuzunaga-Montoya, Luisa Erika Milagros Vásquez-Romero, Joan A. Loayza-Castro, Cori Raquel Iturregui Paucar, Enrique Vigil-Ventura, Carmen Inés Gutiérrez De Carrillo","doi":"10.1186/s13098-024-01411-y","DOIUrl":"https://doi.org/10.1186/s13098-024-01411-y","url":null,"abstract":"Although obesity substantially influences public health owing to related comorbidities, it has been discovered that the incidence of such issues is not directly related to obesity but to the patient’s unhealthy metabolic status (MUS) independent of the body mass index (BMI). To describe the prevalence of UMS overall and according to BMI and determine the factors associated with it. A cross-sectional analytical study was used based on the analysis of secondary databases called the Life Stage Nutritional Surveillance Survey (VIANEV). Participants were selected in two stages, finally obtaining 885 participants. UMS was defined based on the criteria of the Adult Treatment Panel III used to define metabolic status in a set of 5 parameters, if the subject presented two or more alterations it was considered UMS. Six groups were formed according to BMI: metabolically healthy, average weight (MHNW) and unhealthy (MUNW), metabolically healthy, overweight (MHOW) and unhealthy (MUOW), metabolically healthy, obese (MHO) and unhealthy (MUO).). The total prevalence of UMS was 73.11%, with MUNW, MUOW, and MUO being 47.90%, 80.34%, and 96.44%, respectively. Only 5.31% did not present any metabolic alteration. The multivariable analysis found variations globally according to sex, age, marital status, geographical region, smoking habit, and altitude. A high prevalence of UMS was observed in Peru, indicating that BMI alone is not a sufficient indicator of metabolic status. These findings suggest that strategies should be prioritized to address the growing problem of UMS, considering the particularities of each subpopulation and using a multifaceted approach that addresses modifiable and non-modifiable risk factors.","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141871279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}