{"title":"Possible sarcopenia, sarcopenic obesity phenotypes and their association with diabetes: Evidence from LASI wave-1 (2017-18)","authors":"Inderdeep Kaur , Shromona Das , Shivangi Chandel , Shivani Chandel","doi":"10.1016/j.dsx.2025.103185","DOIUrl":"10.1016/j.dsx.2025.103185","url":null,"abstract":"<div><h3>Aims</h3><div>To assess the prevalence of possible sarcopenia and sarcopenic obesity phenotypes and investigate their association with self-reported diabetes among community-dwelling individuals aged 45 or above.</div></div><div><h3>Methods</h3><div>Utilizing data from 62,899 individuals in LASI wave-1 (2017-18), the assessment of possible sarcopenia was done on two critical parameters: muscle (handgrip) strength and physical performance (gait speed), following the 2019 guidelines from the Asian working group on sarcopenia (AWGS). BMI, WC, WHR, and WHtR defined sarcopenic obesity phenotypes. Binary logistic regression analysis explored the association of possible sarcopenia and sarcopenic obesity phenotypes with self-reported diabetes.</div></div><div><h3>Results</h3><div>The prevalence of possible sarcopenia and sarcopenic obesity defined by BMI was found to be 44.4 % and 10.6 %, respectively. Individuals with possible sarcopenia exhibited a 1.18 times higher likelihood of developing self-reported diabetes (p < 0.001), while those with sarcopenic obesity by BMI had significantly elevated odds (1.94, 95 % CI 1.81–2, p < 0.001) for self-reported diabetes.</div></div><div><h3>Conclusions</h3><div>Sarcopenia and sarcopenic obesity phenotypes may increase the risk of developing diabetes as we age. Therefore, it is imperative to formulate targeted preventive and therapeutic strategies to combat sarcopenia and diabetes among the aging population.</div></div>","PeriodicalId":48252,"journal":{"name":"Diabetes & Metabolic Syndrome-Clinical Research & Reviews","volume":"19 2","pages":"Article 103185"},"PeriodicalIF":4.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143014258","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Volker H. Schmitt , Lukas Hobohm , Omar Hahad , Visvakanth Sivanathan , Frank P. Schmidt , Thomas Münzel , Philipp Lurz , Tommaso Gori , Karsten Keller
{"title":"Impact of type 1 diabetes mellitus on mortality rate and outcome of hospitalized patients with myocardial infarction","authors":"Volker H. Schmitt , Lukas Hobohm , Omar Hahad , Visvakanth Sivanathan , Frank P. Schmidt , Thomas Münzel , Philipp Lurz , Tommaso Gori , Karsten Keller","doi":"10.1016/j.dsx.2025.103201","DOIUrl":"10.1016/j.dsx.2025.103201","url":null,"abstract":"<div><h3>Introduction</h3><div>Type 1 diabetes mellitus (T1D) is associated with an increased cardiovascular risk. We aimed to investigate the influence of T1D on myocardial infarction (MI) patients’ mortality.</div></div><div><h3>Materials and methods</h3><div>The German nationwide inpatient sample 2005–2016 was used for statistical analysis. Hospitalized MI patients were stratified for T1D and impact of T1D on in-hospital outcomes was investigated.</div></div><div><h3>Results</h3><div>In total, 3,307,703 hospitalizations of MI patients (37.6 % females, 56.8 % aged ≥70 years) were counted in Germany 2005–2016 and included in this analysis. In 18,625 (0.6 %) of the cases additionally T1D was coded. Overall, 410,737 (12.4 %) in-hospital deaths occurred within the investigation period. MI patients with T1D were younger (64.0 [IQR 52.0–75.0] vs. 73.0 [62.0–81.0] years, P < 0.001), more often female (38.7 % vs. 37.6 %, P < 0.001) and obese (13.2 % vs. 9.3 %, P < 0.001). Comorbidities like peripheral arterial (14.2 % vs. 6.4 %, P < 0.001) and kidney disease (38.5 % vs. 27.2 %, P < 0.001) were more prevalent in MI patients with T1D. T1D was an independent risk factor for in-hospital death (OR 1.23 [95%CI 1.18–1.29], P < 0.001), recurrent MI (OR 1.56 [95%CI 1.35–1.80], P < 0.001), and stroke (OR 1.75 [95%CI 1.63–1.88], P < 0.001). While percutaneous coronary intervention (PCI, 37.8 % vs. 42.0 %, P < 0.001) was less often, coronary artery bypass grafting (CABG, 7.4 % vs. 4.6 %, P < 0.001) was more often performed in MI patients with T1D, confirmed by regression analysis (PCI: OR 0.66 [95%CI 0.64–0.68], P < 0.001; CABG: OR 1.54 [95%CI 1.45–1.63], P < 0.001).</div></div><div><h3>Conclusions</h3><div>T1D represents an important and independent risk factor for mortality in MI patients. The results emphasize the high vulnerability of T1D patients who suffer from MI.</div></div>","PeriodicalId":48252,"journal":{"name":"Diabetes & Metabolic Syndrome-Clinical Research & Reviews","volume":"19 2","pages":"Article 103201"},"PeriodicalIF":4.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143081540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shaghayegh Khanmohammadi , Mahdi Masrour , Parisa Fallahtafti , Amirhossein Habibzadeh , Art Schuermans , Mohammad Shafi Kuchay
{"title":"The relationship between nonalcoholic fatty liver disease and frailty: A systematic review and meta-analysis","authors":"Shaghayegh Khanmohammadi , Mahdi Masrour , Parisa Fallahtafti , Amirhossein Habibzadeh , Art Schuermans , Mohammad Shafi Kuchay","doi":"10.1016/j.dsx.2025.103187","DOIUrl":"10.1016/j.dsx.2025.103187","url":null,"abstract":"<div><h3>Background and aim</h3><div>Frailty is frequently observed in end-stage liver disease of various etiologies, but its role in nonalcoholic fatty liver disease (NAFLD) remains incompletely understood. We aimed to conduct a systematic review and meta-analysis to assess the association and prevalence of frailty in NAFLD.</div></div><div><h3>Methods</h3><div>A systematic review of PubMed/MEDLINE, EMBASE, Web of Science, and Scopus was performed. The random-effects model was used to estimate the pooled prevalence of frailty. Meta-analyzed odds ratios (OR) were calculated to examine the association between frailty and NAFLD.</div></div><div><h3>Results</h3><div>Among the initial 430 articles identified, 18 studies were included. Three studies involving 3673 participants had a pooled OR of 2.03 (95% CI: 1.51–2.72; I^2 = 1.1%; <em>p</em> < 0.0001) for the association between frailty and NAFLD. The pooled prevalence of frailty in individuals with NAFLD was 23% (95% CI: 13%–38%; I^2 = 93.5%) using the liver frailty index (LFI) and 8% (95% CI: 3%–21%; I^2 = 98.1%) using the Fried frailty index (FFI). NAFLD patients’ mean grip strength and balance time were 26.4 kg (95% CI: 23.0–29.8) and 23s (95% CI: 10–35), respectively. Among studies that also included individuals with liver cirrhosis, grip strength was lower in those with cirrhosis vs. the broader population of those with NAFLD.</div></div><div><h3>Conclusions</h3><div>Our study suggests that frailty is highly prevalent in individuals with NAFLD, with a significantly higher prevalence compared to those without NAFLD. Individuals with NAFLD have more than two-fold increased odds of frailty. Assessing frailty in NAFLD patients enables targeted management to improve outcomes.</div></div>","PeriodicalId":48252,"journal":{"name":"Diabetes & Metabolic Syndrome-Clinical Research & Reviews","volume":"19 2","pages":"Article 103187"},"PeriodicalIF":4.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142972842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Letter to the Editor regarding “Global research trends and hotspots in gestational diabetes and long-term cardiovascular health: A bibliometric analysis.”","authors":"Hao-Han Rao , Feng Guo , Jie Tian","doi":"10.1016/j.dsx.2025.103190","DOIUrl":"10.1016/j.dsx.2025.103190","url":null,"abstract":"","PeriodicalId":48252,"journal":{"name":"Diabetes & Metabolic Syndrome-Clinical Research & Reviews","volume":"19 2","pages":"Article 103190"},"PeriodicalIF":4.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143060761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Takahiro Omoto , Hyo Kyozuka , Tsuyoshi Murata , Toma Fukuda , Hirotaka Isogami , Chihiro Okoshi , Shun Yasuda , Akiko Yamaguchi , Akiko Sato , Yuka Ogata , Yuichi Nagasaka , Mitsuaki Hosoya , Seiji Yasumura , Koichi Hashimoto , Hidekazu Nishigori , Keiya Fujimori , the Japan Environment and Children's Study Group
{"title":"Relationship between preconception protein intake and gestational diabetes mellitus: The Japan Environment and Children's Study","authors":"Takahiro Omoto , Hyo Kyozuka , Tsuyoshi Murata , Toma Fukuda , Hirotaka Isogami , Chihiro Okoshi , Shun Yasuda , Akiko Yamaguchi , Akiko Sato , Yuka Ogata , Yuichi Nagasaka , Mitsuaki Hosoya , Seiji Yasumura , Koichi Hashimoto , Hidekazu Nishigori , Keiya Fujimori , the Japan Environment and Children's Study Group","doi":"10.1016/j.dsx.2025.103200","DOIUrl":"10.1016/j.dsx.2025.103200","url":null,"abstract":"<div><h3>Aims</h3><div>To investigate the relationship between preconception protein intake and the risk of gestational diabetes mellitus (GDM).</div></div><div><h3>Methods</h3><div>We analyzed data from the Japan Environment and Children's Study, focusing on 80,346 participants (mean age 31.3 ± 4.9 years; mean body mass index 21.2 ± 3.2 kg/m<sup>2</sup>) who delivered between 2011 and 2014. These participants had no history of diabetes mellitus, no previous diagnosis of GDM, and did not use steroids during pregnancy. Participants were categorized into five groups based on preconception protein energy ratio quintiles (Q1 and Q5 represent the lowest and highest intake, respectively). Continuous variables were compared using one-way analysis of variance or the Kruskal–Wallis test, and categorical variables using chi-square tests. Primary outcomes were GDM, early-diagnosed GDM (Ed-GDM, diagnosed at <24 weeks), and late-diagnosed GDM (Ld-GDM, diagnosed at >24 weeks). Adjusted odds ratios (aORs) and 95 % confidence intervals (CIs) were calculated using logistic regression analysis with the middle quintile (Q3) as the reference.</div></div><div><h3>Results</h3><div>Multiple logistic regression analysis revealed that using the Q3 group as the reference, the Q5 group had a higher risk of Ed-GDM (aOR 1.48, 95 % CI 1.06–2.07), whereas the Q1 group had a lower risk of Ed-GDM (aOR 0.69, 95 % CI 0.48–0.996). However, no significant differences were observed in the risk of GDM and Ld-GDM.</div></div><div><h3>Conclusions</h3><div>Higher preconception protein intake was associated with increased Ed-GDM risk. Further research is needed to refine dietary recommendations for preconception protein intake.</div></div>","PeriodicalId":48252,"journal":{"name":"Diabetes & Metabolic Syndrome-Clinical Research & Reviews","volume":"19 2","pages":"Article 103200"},"PeriodicalIF":4.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143228576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yanxi Jia , Qing Hu , Hua Liao , Hongyan Liu , Zhaomin Zeng , Haiyan Yu
{"title":"Response to the Letter to the Editor regarding “Global research trends and hotspots in gestational diabetes and long-term cardiovascular health: A bibliometric analysis.”","authors":"Yanxi Jia , Qing Hu , Hua Liao , Hongyan Liu , Zhaomin Zeng , Haiyan Yu","doi":"10.1016/j.dsx.2025.103191","DOIUrl":"10.1016/j.dsx.2025.103191","url":null,"abstract":"","PeriodicalId":48252,"journal":{"name":"Diabetes & Metabolic Syndrome-Clinical Research & Reviews","volume":"19 2","pages":"Article 103191"},"PeriodicalIF":4.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143030109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Revised definition of obesity in Asian Indians living in India.","authors":"Anoop Misra, Naval K Vikram, Amerta Ghosh, Piyush Ranjan, Seema Gulati","doi":"10.1016/j.dsx.2024.102989","DOIUrl":"https://doi.org/10.1016/j.dsx.2024.102989","url":null,"abstract":"<p><strong>Aim: </strong>The prevailing guidelines for obesity in Asian Indians, published in 2009, relied solely on body mass index (BMI) criteria. Recognizing the limitations of BMI in accurately diagnosing obesity and the emergence of new research revealing the association between generalized and abdominal adiposity in Asian Indians and early-onset co-morbid diseases, a comprehensive redefinition was needed.</p><p><strong>Method: </strong>In a Delphi process focused on obesity in India, experts were invited via email to participate in five rounds. The survey questions were administered through Google Form to gather insights from the selected experts.</p><p><strong>Results: </strong>In Stage 1 Obesity, individuals exhibit increased adiposity (BMI>23 kg/m<sup>2</sup>) without discernible effects on organ functions or daily activities. Stage 2 Obesity denotes a more advanced state characterized by heightened adiposity (generalized and abdominal), impacting both physical and organ functions, resulting in functional limitations during day-to-day activities, and contributing to co-morbid diseases. The criteria for Stage 2 Obesity include a mandatory BMI exceeding 23 kg/m<sup>2</sup> and at least one of the following: excess waist circumference or waist-to-height ratio. Additionally, the presence of one or more symptoms indicative of limitations in daily activities or one or more obesity-related comorbid conditions/diseases are needed to support the stage 2 obesity.</p><p><strong>Conclusion: </strong>This refined framework seeks to enhance precision in identifying obesity and its associated health risks among Asian Indians living in India, and facilitation of rational management, and aligns with worldwide initiative of new definition of obesity.</p>","PeriodicalId":48252,"journal":{"name":"Diabetes & Metabolic Syndrome-Clinical Research & Reviews","volume":" ","pages":"102989"},"PeriodicalIF":4.3,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143014272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The effects of prune products consumption on anthropometric measurements and blood pressure in adults: A systematic review and dose-response meta-analysis","authors":"Azadeh Heydarian , Shima Moradi , Omid Asbaghi , Negin Tahvilian , Sahar Cheshmeh , Maryam Nadery , Naheed Aryaeian","doi":"10.1016/j.dsx.2024.103173","DOIUrl":"10.1016/j.dsx.2024.103173","url":null,"abstract":"<div><h3>Introduction</h3><div>The positive impact of prunes on body measurements and blood pressure has been suggested in previous research.</div></div><div><h3>Purpose</h3><div>The purpose of this extensive meta-analysis and systematic review was to examine the effects of adult consumption of prunes on anthropometric parameters and blood pressure.</div></div><div><h3>Methods</h3><div>To identify relevant randomized controlled trials (RCTs) (till August 9th, 2024), databases from ISI Web of Science, Scopus, and PubMed/Medline were searched. The current systematic review and meta-analysis covered 14 studies that met the eligibility requirements. The weighted mean difference was used to compute the effect size. The Cochrane Q test and I2 index were used to measure study heterogeneity. The random effects model was utilized to get the overall effect magnitude.</div></div><div><h3>Results</h3><div>The meta-findings analysis's showed that eating prunes had no appreciable effects on, body mass index (BMI) (p = 0.267), waist circumference (WC) (p = 0.562), fat mass (FM) (p = 0.840), systolic blood pressure (SBP) (p = 0.338), or diastolic blood pressure (DBP) (p = 0.233). However, we observed significantly reduction in body weight (p < 0.001) after prunes consumption.</div></div><div><h3>Conclusion</h3><div>Our findings showed that the consumption of prune leads to a significant reduction in body weight, but the results indicated non-significant effects on blood pressure, BMI, WC and FM.</div></div>","PeriodicalId":48252,"journal":{"name":"Diabetes & Metabolic Syndrome-Clinical Research & Reviews","volume":"19 1","pages":"Article 103173"},"PeriodicalIF":4.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142899297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ningjian Wang (Associate Editor) , Anoop Misra (Editor-in-Chief)
{"title":"Highlights of the current issue","authors":"Ningjian Wang (Associate Editor) , Anoop Misra (Editor-in-Chief)","doi":"10.1016/j.dsx.2025.103192","DOIUrl":"10.1016/j.dsx.2025.103192","url":null,"abstract":"","PeriodicalId":48252,"journal":{"name":"Diabetes & Metabolic Syndrome-Clinical Research & Reviews","volume":"19 1","pages":"Article 103192"},"PeriodicalIF":4.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143170956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yuming Sun , Qian zhou , Lorraine Edna Onzere , Yating Dian , Yu Meng , Daishi Li , Furong Zeng , Shaorong Lei , Guangtong Deng
{"title":"Evaluating the causal effect of using glucagon-like peptide-1 receptor agonists on the risk of autoimmune diseases","authors":"Yuming Sun , Qian zhou , Lorraine Edna Onzere , Yating Dian , Yu Meng , Daishi Li , Furong Zeng , Shaorong Lei , Guangtong Deng","doi":"10.1016/j.dsx.2025.103186","DOIUrl":"10.1016/j.dsx.2025.103186","url":null,"abstract":"<div><h3>Objective</h3><div>To investigate the causal association of using glucagon-like peptide-1 receptor (GLP1R) agonists with autoimmune diseases.</div></div><div><h3>Methods</h3><div>The available cis-eQTLs for drugs target genes (GLP1R) were used as genetic variants for exposure to GLP1R agonists. Type 2 diabetes was used as positive control. Mendelian randomizations (MR) were performed to explore the association of genetically-proxied GLP1R agonists with 11 autoimmune diseases from large-scale consortia. Replicating the findings in the FinnGen study and then pooled with meta-analysis. Finally, we performed MR analysis to examine whether GLP1R agonists affect 731 immune cell phenotypes to clarify the potential mechanism.</div></div><div><h3>Results</h3><div>We observed supportive evidence to support the association of GLP1R agonists with reduced the risk of hypothyroidism (OR [95 %] = 0.89 [0.82–0.95], <em>P</em> < 0.001), but increased risk of ulcerative colitis (OR [95 %] = 1.48 [1.27–1.71], <em>P</em> < 0.001), type 1 diabetes (OR [95 %] = 1.34 [1.21–1.50], <em>P</em> < 0.001), systemic lupus erythematosus (OR [95 %] = 1.61 [1.29–2.02], <em>P</em> < 0.001) and sarcoidosis (OR [95 %] = 1.38 [1.08–1.75], <em>P</em> = 0.008). There was no supporting evidence to verify the association of GLP1R expression with asthma, Crohn's disease, multiple sclerosis and myasthenia gravis (<em>P</em> > 0.05). In addition, we found that GLP1R agonists was positively associated with 221 immune cell phenotypes (P < 0.05, OR > 1), and negatively associated with 317 immune cell phenotypes (P < 0.05, OR < 1).</div></div><div><h3>Conclusion</h3><div>GLP1R agonists are causally associated with various autoimmune diseases potentially through the modulation of 731 immune cell phenotypes.</div></div>","PeriodicalId":48252,"journal":{"name":"Diabetes & Metabolic Syndrome-Clinical Research & Reviews","volume":"19 1","pages":"Article 103186"},"PeriodicalIF":4.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142967086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}