Journal of Diabetes最新文献

{"title":"Genetically Predicted Frailty Index Is Associated With Increased Risk of Multiple Metabolic Diseases: 175 226 European Participants in a Mendelian Randomization Study","authors":"Hexing Wang,&nbsp;Haifeng Zhang,&nbsp;Dongliang Tang,&nbsp;Yinshuang Yao,&nbsp;Junlan Qiu,&nbsp;Xiaochen Shu","doi":"10.1111/1753-0407.70062","DOIUrl":"https://doi.org/10.1111/1753-0407.70062","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>A relationship between frailty index (FI) and metabolic diseases (MDs) has been reported in previous observational studies. However, the causality between them remains unclear. This study aimed to examine the causal effect of FI on MDs.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We performed a bidirectional two-sample Mendelian randomization (MR) study. A recent large-scale genome-wide association study (GWAS) provided available data associated with FI, and summary statistics on eight MDs were collected from the IEU OpenGWAS database. Inverse variance weighted (IVW) was used as the main analysis to estimate causal effects, together with MR pleiotropy residual sum and outlier (MR-PRESSO), MR-Egger, Cochran's Q test, pleiotropy test, leave-one-out method, and MR Steiger analysis were used in the sensitivity analyses.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Our MR study demonstrated for the first time that elevated FI was causally associated with an increased risk of MDs including obesity (odds ratio [OR] = 1.78; 95% confidence interval [CI]: 1.17–2.70; <i>p</i> = 0.0075), T2DM (OR = 1.67; 95% CI: 1.24–2.24; <i>p</i> = 6.95 × 10⁻⁴), gout (OR = 2.45; 95% CI: 1.29–4.64; <i>p</i> = 0.006), hypothyroidism (OR = 1.96; 95% CI: 1.47–2.60; <i>p</i> = 3.47 × 10⁻⁶), and HTN (OR = 2.17; 95% CI: 1.72–2.74; <i>p</i> = 5.25 × 10⁻¹¹). However, no causal association was found between FI and osteoporosis, vitamin D deficiency, and hyperthyroidism.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Our findings support a causal relationship between FI and multiple MDs. This is crucial for the prevention of associated MDs in patients with frailty.</p>\u0000 </section>\u0000 </div>","PeriodicalId":189,"journal":{"name":"Journal of Diabetes","volume":"17 3","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1753-0407.70062","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143530132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association Between Skin Autofluorescence and Coronary Heart Disease in Chinese General Population: A Cross-Sectional Study","authors":"Qingzheng Wu,&nbsp;Yu Cheng,&nbsp;Hongyan Liu,&nbsp;Yuepeng Wang,&nbsp;Bing Li,&nbsp;Yiming Mu","doi":"10.1111/1753-0407.70061","DOIUrl":"https://doi.org/10.1111/1753-0407.70061","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>The aim of this study was to investigate the relationship between SAF and CHD in the general population of China and to assess the feasibility of SAF used as a predictor of CHD.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>This study was nested within the prospective study REACTION (Cancer Risk Assessment in Chinese Diabetic Population) which included a total of 5806 eligible participants from two communities located in urban Beijing in 2018. SAF were measured using a fluorescence detector (DM Scan). CHD was the study endpoint and was determined by a face-to-face clinical survey. Pearson's correlation analysis, linear regression analysis, and binary logistic regression analysis were used to examine the association between SAF and CHD.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The overall prevalence of CHD in the general population was 12.1%. Logistic analysis showed that after full adjustment for confounding factors, the risk of CHD increased significantly with increasing lnSAF quartiles (<i>p</i>-trend &lt; 0.05). Compared to Q1 group, the multivariate adjusted ORs of Q2 and Q3 groups were 1.071 (0.817, 1.404), 1.025 (0.781, 1.344), respectively, and the OR was markedly increased at Q4 (OR = 1.377 [1.043, 1.817]). When lnSAF was a continuous variable, the risk of CHD increased with the elevation of lnSAF level. Stratified analysis showed that in subgroups with overweight (24–28 kg/m²), eGFR &lt; 60 mL/min/1.73 m², and diabetes mellitus (DM), lnSAF was still significantly correlated with CHD.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>In Chinese general population, higher lnSAF is independently associated with increased risk of CHD, and noninvasive SAF holds the potential to be a biomarker for CHD risk evaluation and stratification.</p>\u0000 </section>\u0000 </div>","PeriodicalId":189,"journal":{"name":"Journal of Diabetes","volume":"17 3","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1753-0407.70061","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143530133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prevalence, Awareness, Treatment, and Control of Diabetes Among 0.98 Million Patients With Stroke/TIA in China: Insights From a Nationwide Cohort Study","authors":"Siqi Chen,&nbsp;Gulbahram Yalkun,&nbsp;Hongqiu Gu,&nbsp;Xin Yang,&nbsp;Chunjuan Wang,&nbsp;Xingquan Zhao,&nbsp;Yilong Wang,&nbsp;Liping Liu,&nbsp;Xia Meng,&nbsp;Yong Jiang,&nbsp;Hao Li,&nbsp;Yongjun Wang,&nbsp;Zixiao Li,&nbsp;Jue Liu,&nbsp;Donghua Mi","doi":"10.1111/1753-0407.70059","DOIUrl":"https://doi.org/10.1111/1753-0407.70059","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>A comprehensive epidemiological investigation of the coexistence between diabetes and stroke/TIA in China is urged.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Data from the Chinese Stroke Center Alliance program, a nationwide multi-center registry study, were used to detect the prevalence, awareness, treatment, and control of diabetes among stroke/TIA. The distribution of diagnosed and undiagnosed diabetes and prediabetes among stroke/TIA patients was investigated, the medical care around diabetes and their respective risk predictors were analyzed, and the association of all above diabetes characteristics with in-hospital death was evaluated using multi-variable Cox regression models.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Of 980 625 patients included, 308 426 (31.5%) had prediabetes, while 365 052 (37.2%) had diabetes, with nearly a third of them undiagnosed (112 969, 30.9%). Of residual aware diabetic patients, 59.0% were treated, with 27.3% controlled. Compared to Han ethnicity, Zhuang ethnicity had a lower prevalence of diabetes (37.3% vs. 35.1%) but were less aware (69.4% vs. 56.5%), treated (59.4% vs. 47.8%), and controlled (27.4% vs. 26.0%). Patients with prediabetes, diagnosed, and undiagnosed diabetes had increasingly higher risks of in-hospital death (adjusted HR [95% CI]: 1.47 [1.35–1.60]; 2.15 [1.97–2.34]; 4.20 [3.87–4.56], all <i>p</i> &lt; 0.001). Unaware and untreated diabetes were independently associated with in-hospital death (adjusted HR [95% CI]: 1.99 [1.85–2.14]; 2.84 [2.63–3.07, both <i>p</i> &lt; 0.001]). Compared with controlled diabetes, those with uncontrolled diabetes had a lower risk of in-hospital death (adjusted HR [95% CI]: 0.77[0.68–0.88], <i>p</i> &lt; 0.001).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The findings indicate that over two-thirds of stroke/TIA patients are exposed to diabetes in China, causing higher in-hospital mortality, which should be screened and intervened early.</p>\u0000 </section>\u0000 </div>","PeriodicalId":189,"journal":{"name":"Journal of Diabetes","volume":"17 3","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1753-0407.70059","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143530134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Insulin Resistance and Cancer","authors":"Zachary Bloomgarden","doi":"10.1111/1753-0407.70064","DOIUrl":"https://doi.org/10.1111/1753-0407.70064","url":null,"abstract":"&lt;p&gt;It has long been clear that Type 2 diabetes is associated with an increased likelihood of the development of a variety of malignancies. The Shanghai Standardized Diabetes Management System data set of more than 400 000 persons from 2011 to 2018 showed a 10% increase in overall malignancy rates over those in the nondiabetic population, with a particularly high risk of cancers of the pancreas [&lt;span&gt;1&lt;/span&gt;], thyroid [&lt;span&gt;2&lt;/span&gt;], bladder, kidney, breast, colorectum, and liver compared with the general population, and with a greater relative increase in younger persons [&lt;span&gt;3&lt;/span&gt;]. Several mechanisms have been proposed for this association [&lt;span&gt;4&lt;/span&gt;]. Hyperglycemia itself might predispose individuals to cancer [&lt;span&gt;5, 6&lt;/span&gt;]. Obesity underlies the majority of instances of Type 2 diabetes and is associated with malignancy, with adipose tissue secretion of inflammatory cytokines and leptin, decreased production of adiponectin, and, particularly in postmenopausal women, adipose tissue estrogen production playing roles in specific tissues. An attractive hypothesis of the underlying mechanism for all of these is that insulin resistance itself gives rise to malignancy [&lt;span&gt;7&lt;/span&gt;].&lt;/p&gt;&lt;p&gt;Certainly, it is plausible that insulin resistance may be a major underlying cause of cancer development. Insulin has mitogenic effects, which may particularly manifest in insulin resistance with hyperinsulinemia, and insulin may be pro-angiogenic, leading to an anti-apoptotic effect in DNA-damaged cells, furthering carcinogenesis; features of these mechanisms have been shown in breast cancer models, with the insulin receptor substrate receptor (IRS)-1 showing high expression, and with adipose tissue secretory proteins such as leptin stimulated by insulin and having mitogenic, angiogenic, and anti-apoptotic effects, while adiponectin levels are suppressed by insulin and lowered in obesity, leading to opposing effects [&lt;span&gt;8&lt;/span&gt;]. In breast cancer development, factors related to insulin resistance produced in systemic adipose tissue may have endocrine effects, adipocytes in the tumor capsule would have paracrine effects, and factors directly produced by tumor cells could have autocrine effects in cancer promotion [&lt;span&gt;9&lt;/span&gt;]. In the development of pancreatic cancer, insulin might act on pancreatic acinar cells to increase digestive enzyme production, leading to inflammation in pancreatic exocrine tissue, while insulin might also directly increase pancreatic cell mitosis and potentiate metaplasia [&lt;span&gt;9&lt;/span&gt;].&lt;/p&gt;&lt;p&gt;Proxy measures of insulin resistance have been used to support this concept. In a study based on nearly 400 000 persons in the UK Biobank, the triglyceride-glucose-BMI product, an insulin resistance measure based on the metabolic syndrome, and the ratio of triglyceride to HDL cholesterol were analyzed to determine the relationship between insulin resistance and esophageal cancer risk [&lt;span&gt;10&lt;/span&gt;], showing adenocarc","PeriodicalId":189,"journal":{"name":"Journal of Diabetes","volume":"17 2","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1753-0407.70064","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143489822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Population-Based Correlation Analysis Between Hemoglobin A1c and Hemoglobin Levels","authors":"Tingyu Zhang,&nbsp;Tianyi Shi,&nbsp;Min Cao,&nbsp;Yunxi Ji,&nbsp;Yanbin Xue,&nbsp;Huayan Yao,&nbsp;Qiaomei Yin,&nbsp;Bin Cui,&nbsp;Zhen Xie,&nbsp;Ping He","doi":"10.1111/1753-0407.70057","DOIUrl":"https://doi.org/10.1111/1753-0407.70057","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Glycated hemoglobin (HbA1c) is widely used to assess long-term glycemic control in individuals with diabetes. However, various conditions that affect hemoglobin levels or the lifespan of red blood cells can compromise the accuracy of HbA1c measurements. Despite extensive research, the relationship between HbA1c and hemoglobin remains unclear. This study aims to clarify this relationship by examining its correlation across diverse age and gender cohorts.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Data from 217,991 participants aged 20 to 69 years were collected from health examination centers in Southwest China. Standardized methodologies were used to measure HbA1c and hemoglobin levels. Generalized additive models (GAM) were utilized to analyze non-linear relationships and adjust for potential confounding variables. Gender-specific reference intervals (RIs) for hemoglobin were also established.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>A gender-specific association was observed between HbA1c and hemoglobin levels. In men, HbA1c levels decreased with increasing hemoglobin. Among women, a negative correlation was observed in premenopausal women (aged ≤ 45 years), whereas postmenopausal women (aged &gt; 45 years) showed a positive correlation, with HbA1c levels increasing as hemoglobin levels rose. Additionally, HbA1c levels increased with age in both genders, with a more pronounced rise in women after the age of 45.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>This study highlights significant gender- and age-related differences in the relationship between HbA1c and hemoglobin. The findings suggest that estrogen-related metabolic changes may influence HbA1c levels, with potential implications for diabetes management and hormone therapy in postmenopausal women.</p>\u0000 </section>\u0000 </div>","PeriodicalId":189,"journal":{"name":"Journal of Diabetes","volume":"17 2","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1753-0407.70057","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143455881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cerebral Small Vessel Disease Outperforms Brain Atrophy as an Imaging Biomarker in Diabetic Retinopathy","authors":"Xinyi Shen,&nbsp;Wen Zhang,&nbsp;Xin Li,&nbsp;Xin Zhang,&nbsp;Qian Li,&nbsp;Min Wu,&nbsp;Linqing Fu,&nbsp;Jiaming Lu,&nbsp;Zhengyang Zhu,&nbsp;Bing Zhang","doi":"10.1111/1753-0407.70058","DOIUrl":"https://doi.org/10.1111/1753-0407.70058","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>This study aimed to examine microvascular lesions and neurodegenerative changes in diabetic retinopathy (DR) compared to type 2 diabetes mellitus (T2DM) without DR (NDR) using structural MRI and to explore their associations with DR.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>243 patients with NDR and 122 patients with DR were included. Participants underwent conventional brain MRI scans, clinical measurements, and fundus examinations. Cerebral small vessel disease (CSVD) imaging parameters were obtained using AI-based software, manually verified, and corrected for accuracy. Volumes of major cortical and subcortical regions representing neurodegeneration were assessed using automated brain segmentation and quantitative techniques. Statistical analysis included <i>T</i>-test, chi-square test, Mann–Whitney <i>U</i> test, multivariate analysis of variance (MANCOVA), multivariate logistic regression, area under the receiver operating characteristic curve (AUC), and Delong test.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>DR group exhibited significant differences in 11 CSVD features. Meanwhile, DR showed an atrophy trend in the frontal cortex, occipital cortex, and subcortical gray matter (GM) compared to NDR. After adjustment, DR patients exhibited greater perivascular spaces (PVS) numbers in the parietal lobe (OR = 1.394) and deep brain regions (OR = 1.066), greater dilated perivascular spaces (DPVS) numbers in the left basal ganglia (OR = 2.006), greater small subcortical infarcts (SSI) numbers in the right hemisphere (OR = 3.104), and decreased left frontal PVS (OR = 0.824), total left DPVS (OR = 0.714), and frontal cortex volume (OR = 0.959) compared to NDR. Further, the CSVD model showed a larger AUC (0.823, 95% CI: 0.781–0.866) than the brain atrophy model (AUC = 0.757, 95% CI: 0.706–0.808).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Microvascular and neurodegeneration are significantly associated with DR. CSVD is a better imaging biomarker for DR than brain atrophy.</p>\u0000 </section>\u0000 </div>","PeriodicalId":189,"journal":{"name":"Journal of Diabetes","volume":"17 2","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1753-0407.70058","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143438962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Iron-Deficiency Anemia Elevates Risk of Diabetic Kidney Disease in Type 2 Diabetes Mellitus","authors":"Bin Huang,&nbsp;Wenjie Wen,&nbsp;Shandong Ye","doi":"10.1111/1753-0407.70060","DOIUrl":"https://doi.org/10.1111/1753-0407.70060","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>This study aims to explore the link between iron deficiency anemia (IDA) and diabetic kidney disease (DKD) and assess the safety of iron supplementation. It also investigates key mechanisms and molecules involved in iron deficiency's role in disease development.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A retrospective analysis was conducted on 1,398 T2DM patients using propensity score matching to identify risk factors for DKD. Mendelian randomization (MR) was used to explore causal relationships between IDA, iron supplementation, liver iron content, and DKD. The GSE27999 dataset was analyzed to examine how an iron-deficient diet affects kidney-related gene expression. Key pathways and molecules were identified through GSEA, GO/KEGG, and PPI analysis.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Retrospective data showed a correlation between hemoglobin levels and DKD risk. Logistic regression confirmed that IDA increased DKD risk independently of other factors. MR revealed a causal link between IDA and DKD, with no significant effect from iron supplementation. GSE27999 analysis identified 580 differentially expressed genes, enriched in pathways like cytokine signaling, oxidative biology, and small molecule transport. PPI analysis highlighted 10 key hub genes, including Cyp2d26 and Fgf4.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>IDA increases susceptibility to DKD, possibly through oxidative stress and altered small molecule transport. However, iron supplementation does not appear to increase the risk of DKD.</p>\u0000 </section>\u0000 </div>","PeriodicalId":189,"journal":{"name":"Journal of Diabetes","volume":"17 2","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1753-0407.70060","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143438963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pyruvate Carboxylase as a Moonlighting Metabolic Enzyme Protects β-Cell From Senescence","authors":"Yumei Yang,&nbsp;Baomin Wang,&nbsp;Xiaomu Li","doi":"10.1111/1753-0407.70050","DOIUrl":"https://doi.org/10.1111/1753-0407.70050","url":null,"abstract":"<p>\u0000 \u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure>\u0000 </p>","PeriodicalId":189,"journal":{"name":"Journal of Diabetes","volume":"17 2","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1753-0407.70050","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143404462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Glucokinase Regulatory Protein as a Putative Target for Gestational Diabetes Mellitus and Related Complications: Evidence From the Mendelian Randomization Study","authors":"Weian Mao,&nbsp;Guiquan Wang,&nbsp;Xiao Wang,&nbsp;Yan Shen,&nbsp;Shuai Yuan,&nbsp;Lin Wang,&nbsp;Haiyan Yang,&nbsp;Yan Li,&nbsp;Kai Chen,&nbsp;Jun Liu,&nbsp;Xi Dong,&nbsp;Yue Zhao,&nbsp;Liangshan Mu","doi":"10.1111/1753-0407.70056","DOIUrl":"https://doi.org/10.1111/1753-0407.70056","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Gestational diabetes mellitus (GDM) is one of the most common complications of pregnancy and is highly associated with adverse perinatal outcomes and long-term health problems for the mother and offspring. However, there are respective limitations in the pharmacological strategies for the current treatment of GDM. Glucokinase regulatory protein (GCKR) has been associated with GDM in observational studies and animal experiments and thus represents a potential drug target of interest for investigation.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We applied two-sample Mendelian randomization (MR) and colocalization analysis using summary-level data from genome-wide association studies of GCKR and GDM. Two-step MR was used to explore the mediating effects of several metabolic factors on the association. We also applied MR to explore the associations of GCKR levels with GDM-related outcomes. Finally, we performed a phenome-wide association study (PheWAS) to query the potential effects of altered GCKR levels across multiple health categories.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>We found a significant association between elevated GCKR levels and GDM (OR = 3.466, 95% CI = 2.401–5.002, <i>p</i> = 3.16 × 10⁻¹¹), also supported by the colocalization analysis ([<i>P</i>_coloc] = 0.997). The estimates were replicated in an independent study (OR = 2.640, 95% CI = 1.983–3.513, <i>p</i> = 2.84 × 10⁻¹¹, <i>P</i>_coloc = 0.983). Elevated GCKR levels were also associated with higher risk of type 2 diabetes (OR = 2.183, 95% CI = 1.846–2.581, <i>p</i> = 6.53 × 10⁻²⁰). Two-step MR suggested that fasting glucose, fasting insulin, and triglycerides partly mediated the causal relationship. PheWAS found that targeting GCKR may improve renal function and glucose homeostasis but cause dyslipidemia and uric acid abnormalities.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>This study provided novel evidence that circulating GCKR levels are causally implicated in GDM and related complications, suggesting that it may be a promising target for treatment.</p>\u0000 </section>\u0000 </div>","PeriodicalId":189,"journal":{"name":"Journal of Diabetes","volume":"17 2","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1753-0407.70056","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143362642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Inverse Relationship Between Serum Carotenoid Levels and Cardiovascular-Kidney-Metabolic Syndrome Among the General Adult Population","authors":"Mengli Chen,&nbsp;Shuyue Cai,&nbsp;Qinfeng Jia,&nbsp;Yifang Suo,&nbsp;Yuan Tang,&nbsp;Yanping Shi,&nbsp;Xu Zhu,&nbsp;Haifeng Zhang","doi":"10.1111/1753-0407.70046","DOIUrl":"10.1111/1753-0407.70046","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>To examine the relationship between serum carotenoid levels and cardiovascular-kidney-metabolic (CKM) syndrome in a representative sample of US adults.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Data from the fasting subsample of the NHANES 2017–2018 were analyzed using a survey-weighted approach to ensure the findings are representative of the broader US adult population. Serum levels of α-carotene, β-carotene, β-cryptoxanthin, lutein/zeaxanthin, and lycopene were measured using high-performance liquid chromatography. CKM syndrome stages were defined according to the 2023 American Heart Association guidelines, with advanced CKM syndrome categorized as stages 3 or 4. Associations between serum carotenoids and advanced CKM syndrome were assessed using logistic regression and weighted quantile sum (WQS) regression.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The study included 1671 adults aged 20 years and older, with a mean age of 48.7 years and a gender distribution of 50.9% female and 49.1% male. Higher serum levels of α-carotene, β-carotene, α-cryptoxanthin, lutein/zeaxanthin, and lycopene were inversely associated with advanced CKM syndrome. Specifically, compared to the lowest quartile, the highest quartile of α-carotene had an odds ratio (OR) of 0.29 (95% CI: 0.16–0.55), β-carotene 0.35 (95% CI: 0.16–0.78), α-cryptoxanthin 0.23 (95% CI: 0.11–0.49), lutein/zeaxanthin 0.26 (95% CI: 0.14–0.48), and lycopene 0.58 (95% CI: 0.35–0.98). However, β-cryptoxanthin did not show a significant association. Moreover, the combined effect of all carotenoids was significantly negatively correlated with advanced CKM syndrome (OR = 0.67, 95% CI: 0.53–0.86), with lutein/zeaxanthin contributing the most (44.56%).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Elevated serum carotenoid levels are inversely associated with the prevalence of advanced CKM syndrome in a dose-dependent manner, with this association remaining consistent across diverse demographic and health subgroups.</p>\u0000 </section>\u0000 </div>","PeriodicalId":189,"journal":{"name":"Journal of Diabetes","volume":"17 2","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11780278/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143062629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}