Obesity Medicine最新文献_第7页

Future projections of elderly obesity in the United States using time series models 使用时间序列模型预测美国老年人肥胖的未来

Q2 Medicine

Obesity Medicine

Pub Date : 2025-07-01 Epub Date: 2025-07-04 DOI: 10.1016/j.obmed.2025.100627

Halil Çolak

This study aims to forecast the prevalence of obesity among the elderly population (aged 65 and over) in the United States through 2035 using time series forecasting techniques. Obesity data from 2013 to 2022 were analysed using six models: Autoregressive Integrated Moving Average (ARIMA), Long-Short Term Memory (LSTM), Gated Recurrent Units GRU, Random Forest (RF), Vector autoregression model (VAR), and eXtreme Gradient Boosting (XGBoost). The primary goal is to inform future public health strategies and optimize healthcare resource allocation for the aging population. The results indicate a consistent rise in obesity rates. ARIMA predicted an increase from 30.6 % in 2022 to 35.0 % in 2035, while VAR estimated 37.9 %. Machine learning models forecasted sharper growth: RF projected 40.6 %, LSTM 41.3 %, and GRU 39.8 %. XGBoost anticipated the highest rate, reaching 44.3 % in 2035. Model performances were evaluated using coefficient of determination (R²), mean square error, root mean square error, and sum of squares error. VAR and XGBoost achieved the best results (R² = 0.9995 and 0.9993, respectively), while LSTM (R² = 0.9004) and GRU (R² = 0.8648) showed moderate predictive power. ARIMA also performed well with R² = 0.9420. The findings reveal that ensemble and multivariate models, particularly XGBoost and VAR, offer higher forecasting accuracy. This study fills a gap in the literature by focusing on elderly obesity projections and offers valuable insights for developing targeted intervention policies and health programme.

本研究旨在利用时间序列预测技术预测到2035年美国老年人（65岁及以上）肥胖的流行程度。采用自回归综合移动平均（ARIMA）、长短期记忆（LSTM）、门控循环单元（GRU）、随机森林（RF）、向量自回归模型（VAR）和极端梯度增强（XGBoost） 6种模型分析了2013年至2022年的肥胖数据。主要目标是为未来的公共卫生战略提供信息，并优化老龄化人口的医疗资源分配。结果表明肥胖率持续上升。ARIMA预测从2022年的30.6%增长到2035年的35.0%，而VAR估计为37.9%。机器学习模型预测的增长幅度更大：RF预测为40.6%，LSTM预测为41.3%，GRU预测为39.8%。XGBoost预计这一比例最高，到2035年将达到44.3%。采用决定系数（R2）、均方误差、均方根误差和平方和误差评价模型的性能。VAR和XGBoost的预测效果最好（R2分别为0.9995和0.9993），而LSTM （R2 = 0.9004）和GRU （R2 = 0.8648）的预测能力中等。ARIMA也表现良好，R2 = 0.9420。结果表明，集合模型和多元模型，特别是XGBoost和VAR，具有较高的预测精度。本研究通过关注老年人肥胖预测填补了文献空白，为制定有针对性的干预政策和健康规划提供了有价值的见解。

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引用次数: 0

Obesity and Climate Change: A Two-way Street with Global Health Implications 肥胖和气候变化：具有全球健康影响的双行道

Q2 Medicine

Obesity Medicine

Pub Date : 2025-07-01 Epub Date: 2025-06-11 DOI: 10.1016/j.obmed.2025.100623

Esther Ugo Alum , Regina Idu Ejemot-Nwadiaro , Peter A. Betiang , Mariam Basajja , Daniel Ejim Uti

Obesity and climate change are critical global challenges of the 21st century, with shared drivers and far-reaching impacts on public health, environmental sustainability, and socioeconomic equity. Both crises are fueled by factors such as unsustainable food systems, urbanization, and systemic inequities. Industrialized food production contributes to greenhouse gas emissions, deforestation, and resource depletion while promoting calorie-dense, nutrient-poor diets that exacerbate obesity rates. Climate-induced food insecurity further intensifies the malnutrition paradox, where undernutrition and obesity coexist, disproportionately affecting vulnerable populations. This short communication explores the complex connections between obesity and climate change, examining their mutual drivers, public health implications, and role in food systems. The novelty of this communication lies in its amalgamation of emerging, underexplored bidirectional mechanisms, including thermoregulatory effects and differential emissions contributions, supported by recent evidence. Rather than serving as a comprehensive review, this paper aims to offer a concise yet policy-relevant perspective that emphasizes overlooked linkages and actionable solutions. By clearly framing the scope and contribution of this short communication, we aim to distinguish our work from broader literature reviews and highlight its relevance for integrated health-environment policy development. Recommendations include leveraging technology, fostering global collaboration, and advancing interdisciplinary research to address these intersecting crises holistically. Aligning with public health and environmental goals is essential for creating a resilient and equitable future for both human and planetary well-being. This short communication was developed through an extensive review of scholarly articles, policy reports, and case studies addressing the intersections of obesity and climate change. Sources were identified via databases such as PubMed, Scopus, and Google Scholar, with keywords including “obesity,” “climate change,” “food systems,” and “public health policies.” The analysis focused on identifying shared drivers, mutual impacts, and actionable strategies. Emphasis was placed on evidence-based insights and multidisciplinary approaches to propose integrated solutions that address both crises.

肥胖和气候变化是21世纪的重大全球挑战，它们对公共卫生、环境可持续性和社会经济公平具有共同的驱动因素和深远的影响。不可持续的粮食体系、城市化和系统性不平等等因素加剧了这两场危机。工业化粮食生产助长了温室气体排放、森林砍伐和资源枯竭，同时促进了高热量、营养不良的饮食，从而加剧了肥胖率。气候导致的粮食不安全进一步加剧了营养不良悖论，营养不足和肥胖并存，对弱势群体造成了不成比例的影响。这篇简短的文章探讨了肥胖与气候变化之间的复杂联系，考察了它们的相互驱动因素、公共卫生影响以及在粮食系统中的作用。这种交流的新颖之处在于它融合了新兴的、未被充分探索的双向机制，包括温度调节效应和不同的排放贡献，并得到了最近证据的支持。本文旨在提供一个简洁但与政策相关的观点，强调被忽视的联系和可行的解决方案，而不是作为一份全面的综述。通过明确构建这篇简短信息的范围和贡献，我们的目标是将我们的工作与更广泛的文献综述区分开来，并强调其与综合卫生-环境政策制定的相关性。建议包括利用技术、促进全球合作和推进跨学科研究，以全面解决这些交叉的危机。与公共卫生和环境目标保持一致，对于为人类和地球的福祉创造一个有复原力和公平的未来至关重要。这个简短的交流是通过对学术文章、政策报告和案例研究的广泛审查而形成的，这些研究涉及肥胖和气候变化的交叉点。通过PubMed、Scopus和谷歌Scholar等数据库确定来源，关键词包括“肥胖”、“气候变化”、“食品系统”和“公共卫生政策”。分析的重点是确定共同的驱动因素、相互影响和可操作的策略。会议强调了基于证据的见解和多学科方法，以提出解决这两个危机的综合解决方案。

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引用次数: 0

The impact of epigenetic factors in type 2 diabetes: Insights into development and pathogenesis 表观遗传因素对2型糖尿病的影响：对发展和发病机制的见解

Q2 Medicine

Obesity Medicine

Pub Date : 2025-07-01 Epub Date: 2025-07-11 DOI: 10.1016/j.obmed.2025.100635

Thammanna Gowda SS, Shobith Rangappa, Parimala Hanumesh

Background

Insights into Development and Pathogenesis investigates the critical role of epigenetic modifications, such as DNA methylation, histone alterations, and non-coding RNA, in the onset and progression of Type 2 diabetes (T2D). It highlights how environmental factors, lifestyle choices, and genetic predispositions influence these epigenetic changes, contributing to insulin resistance, beta-cell dysfunction, and other key mechanisms of T2D. The review provides a comprehensive understanding of the complex interplay between genetic and epigenetic factors in diabetes pathogenesis.

Aim

The aim of this review is to explore the role of epigenetic modifications in the development and pathogenesis of Type 2 diabetes (T2D). It examines how environmental factors, lifestyle, and genetic predisposition influence epigenetic changes, contributing to key mechanisms such as insulin resistance and beta-cell dysfunction. By providing insights into these interactions, the review aims to enhance understanding of T2D etiology and inform potential therapeutic strategies.

Result

The review reveals that epigenetic modifications, including DNA methylation, histone alterations, and non-coding RNA regulation, significantly contribute to the development and progression of Type 2 diabetes (T2D). It highlights how environmental factors, lifestyle choices, and genetic predisposition lead to changes in these epigenetic marks, driving insulin resistance, impaired beta-cell function, and other aspects of T2D. The findings underscore the potential of targeting epigenetic pathways for novel therapeutic approaches in managing T2D.

Conclusion

The review concludes that epigenetic factors play a crucial role in Type 2 diabetes development, offering promising targets for therapeutic intervention. Understanding these mechanisms may lead to more effective prevention and treatment strategies.

《发展和发病机制》研究了表观遗传修饰，如DNA甲基化、组蛋白改变和非编码RNA，在2型糖尿病（T2D）的发生和进展中的关键作用。它强调了环境因素、生活方式选择和遗传倾向如何影响这些表观遗传变化，促进胰岛素抵抗、β细胞功能障碍和其他T2D的关键机制。这篇综述提供了对糖尿病发病中遗传和表观遗传因素之间复杂相互作用的全面理解。目的探讨表观遗传修饰在2型糖尿病（T2D）发生和发病中的作用。它研究了环境因素、生活方式和遗传易感性如何影响表观遗传变化，促进胰岛素抵抗和β细胞功能障碍等关键机制。通过提供这些相互作用的见解，该综述旨在加强对T2D病因的理解，并为潜在的治疗策略提供信息。结果研究表明，表观遗传修饰，包括DNA甲基化、组蛋白改变和非编码RNA调控，在2型糖尿病（T2D）的发生和进展中起着重要作用。它强调了环境因素、生活方式选择和遗传易感性如何导致这些表观遗传标记的变化，从而驱动胰岛素抵抗、β细胞功能受损和T2D的其他方面。这些发现强调了针对表观遗传途径的治疗T2D的新方法的潜力。结论表观遗传因素在2型糖尿病的发生发展中起着至关重要的作用，为治疗干预提供了有希望的靶点。了解这些机制可能会导致更有效的预防和治疗策略。

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引用次数: 0

Association between diabetes markers, physical fitness, and balance among people with type 2 diabetes mellitus 2型糖尿病患者的糖尿病标志物、身体健康和平衡之间的关系

Q2 Medicine

Obesity Medicine

Pub Date : 2025-07-01 Epub Date: 2025-07-09 DOI: 10.1016/j.obmed.2025.100631

Sobia Hasan , Basit Ansari , Tehreem Anis , Fahad Alanazi , Mehrunnisha Ahmed , Ahmad Alanazi , Faizan Zaffar Kashoo

Background and purpose

Diabetes mellitus, a common disorder of glucose metabolism, affects multiple organ systems and often leads to complications such as diabetic peripheral neuropathy (DPN), which impairs balance and mobility. To manage DPN effectively, understanding the relationships between key markers, such as fasting blood sugar (FBS), glycated hemoglobin (HbA1c), and aerobic capacity (VO₂max), and balance-related outcomes is crucial but remains underexplored. This study aimed to investigate the associations between diabetes markers (FBS, HbA1c), physical fitness (VO₂max), body mass index (BMI), and balance measures such as One-Leg Stance test (OLS), Berg Balance Scale (BBS), and Timed Up and Go test (TUGT) in adults with type 2 diabetes mellitus (T2DM).

Methods

A cross-sectional correlation analysis was performed using baseline data from a randomized controlled study (n = 90, 67.8 % female, mean age = 55.96 ± 4.61 years). Pearson's correlation and mediation analyses were used to assess relationships between diabetes markers, fitness indicators, and balance measures.

Results

Higher FBS and HbA1c correlated negatively with balance (OLS: r = −0.43 to −0.45, p < 0.01; BBS: r = −0.37 to −0.40, p < 0.05) and positively with mobility impairment (HbA1c-TUG: r = 0.28, p = 0.04). A higher VO₂max was correlated with better balance (OLS: r = 0.50, p < 0.01) and faster mobility (TUGT: r = −0.39, p < 0.05). A high BMI negatively impacts balance and slows mobility. Neuropathy severity (Michigan Neuropathy Screening Instrument-MNSI) significantly predicted higher HbA1c (β = 0.106, p < 0.001) and reduced VO₂max, OLS, and BBS scores.

Discussion

Poor glycemic control (higher FBS and HbA1c) is linked to poorer balance, whereas higher VO₂max and lower BMI are correlated with improved balance in T2DM patients. Exercise and metabolic control strategies are essential for optimizing functional outcomes in diabetes management.

背景和目的糖尿病是一种常见的糖代谢紊乱，可影响多器官系统，并经常导致糖尿病周围神经病变（DPN）等并发症，损害平衡和活动能力。为了有效地管理DPN，了解关键指标(如空腹血糖（FBS）、糖化血红蛋白（HbA1c）和有氧能力（VO2max）与平衡相关结果之间的关系至关重要，但仍未得到充分研究。本研究旨在探讨成人2型糖尿病（T2DM）患者的糖尿病标志物（FBS、HbA1c）、体能（VO2max）、体重指数（BMI）和平衡测量（如单腿站立测试（OLS）、Berg平衡量表（BBS）和定时起床测试（TUGT））之间的关系。方法采用随机对照研究（n = 90，女性67.8%，平均年龄55.96±4.61岁）的基线资料进行横断面相关分析。使用Pearson相关分析和中介分析来评估糖尿病标志物、健康指标和平衡测量之间的关系。结果较高的FBS和HbA1c与平衡呈负相关(OLS: r = - 0.43 ~ - 0.45, p <；0.01;BBS: r = - 0.37至- 0.40,p <；活动能力障碍呈阳性（HbA1c-TUG: r = 0.28, p = 0.04）。较高的VO2max与较好的平衡性相关(OLS: r = 0.50, p <；0.01)和更快的迁移速度(TUGT: r = - 0.39, p <；0.05)。高BMI会对平衡产生负面影响，并减缓行动能力。神经病变严重程度（密歇根神经病变筛查仪器- mnsi）显著预测HbA1c升高(β = 0.106, p <；0.001)， VO2max、OLS和BBS评分降低。血糖控制不良（较高的FBS和HbA1c）与较差的平衡有关，而较高的VO2max和较低的BMI与T2DM患者的平衡改善有关。运动和代谢控制策略对于优化糖尿病管理的功能结果至关重要。

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引用次数: 0

Intertwined pathways of SARS-CoV-2 infection and its clinical repercussions on glucose homeostasis: Exploring the rise of new-onset diabetes SARS-CoV-2感染的相互交织的途径及其对葡萄糖稳态的临床影响：探讨新发糖尿病的上升

Q2 Medicine

Obesity Medicine

Pub Date : 2025-07-01 Epub Date: 2025-06-12 DOI: 10.1016/j.obmed.2025.100624

Vertika Awasthi , Rupinder Kaur , Chirag Pasricha, Pratima Kumari, Suruchi Chaubey, Sarita Jangra, Sanjana Mehta, Ravinder Singh

Coronavirus disease 2019 (COVID-19) and diabetes seem to have a bidirectional relationship. People suffering from diabetes mellitus (DM) are at higher risk than non-diabetics to contract SARS-CoV-2 infections and acquire COVID-19-related health issues. Diabetes is consistently linked to higher disease risk and death among COVID-19 patients. Data also suggest that multiple phenotypic expression alterations caused by SARS-CoV-2 could complicate the pathogenesis of pre-existing diabetes or result in additional pathological conditions. Clinical research data shows that SARS-CoV-2 infection promotes metabolic abnormalities in humans. Furthermore, recent studies concerning new-onset diabetes (NOD) in COVID-19 affected population, who had previously been infected with the virus, reinforce the notion that SARS-CoV-2 has a direct influence on glucose metabolism. Data from various sources indicated that SARS-CoV-2 infected individuals had a greater prevalence of Diabetic Ketoacidosis (DKA), which might be related to a blatant assault on the beta (β)cells of the pancreas. This virus has also been attributed to binding with the ACE 2 receptors found in critical body tissues as well as organs such as β islet cells of the pancreas, small intestine, kidneys and adipose tissues, causing Ketosis-prone diabetes (KPD), which is a very prevalent form of diabetes in Asia, especially India. It has been observed that despite the lack of autoantibodies, the people so affected experience short, transitory insulin deficit that produces DKA at first, but they recover from this β-cell secretory failure over time. This paper highlights the complex interplay between SARS-CoV-2 and its clinical implications on diabetic pathobiology, emphasizing how the cause-effect relationship operates bidirectionally between the two.

2019冠状病毒病（COVID-19）和糖尿病似乎存在双向关系。糖尿病患者比非糖尿病患者更容易感染SARS-CoV-2并出现与covid -19相关的健康问题。在COVID-19患者中，糖尿病一直与更高的疾病风险和死亡有关。数据还表明，由SARS-CoV-2引起的多种表型表达改变可能使原有糖尿病的发病机制复杂化，或导致额外的病理状况。临床研究数据显示，SARS-CoV-2感染会促进人类代谢异常。此外，最近关于COVID-19感染人群中曾感染该病毒的新发糖尿病（NOD）的研究强化了SARS-CoV-2对葡萄糖代谢有直接影响的观点。来自各种来源的数据表明，SARS-CoV-2感染个体的糖尿病酮症酸中毒（DKA）患病率更高，这可能与对胰腺β (β)细胞的公然攻击有关。这种病毒还被认为与关键身体组织和器官（如胰腺、小肠、肾脏和脂肪组织的β胰岛细胞）中的ACE 2受体结合，导致酮症易感性糖尿病（KPD），这是亚洲，特别是印度非常普遍的糖尿病形式。据观察，尽管缺乏自身抗体，但受影响的人最初会经历短暂的胰岛素缺乏，产生DKA，但随着时间的推移，他们会从这种β细胞分泌失败中恢复过来。本文重点介绍了SARS-CoV-2及其对糖尿病病理生物学的临床意义之间的复杂相互作用，强调了两者之间的因果关系是如何双向运作的。

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引用次数: 0

Evaluate the Gln223Arg LEPR genotype variation in T2DM patients with chronic kidney disease 评估Gln223Arg LEPR基因型在T2DM合并慢性肾病患者中的变异

Q2 Medicine

Obesity Medicine

Pub Date : 2025-07-01 Epub Date: 2025-07-08 DOI: 10.1016/j.obmed.2025.100630

Shahab Ahmed Salıh Gezh , Figen Guzelgul , Nihan Bozkurt , Hakan Sivgin , Koksal Deveci

Background

Obesity significantly contributes to the development of type 2 diabetes mellitus (T2DM). Genetic variations in leptin receptor (LEPR) genes are thought to be influential in the onset of T2DM in patients with kidney malfunction and obesity. This study focused on examining the link between the Gln223Arg polymorphism in the LEPR gene and T2DM in the mid-Black Sea region of the Anatolian Turkish population.

Methodology

In this study, we examined a group of 174 patients with T2DM and compared them to a control group of 30 healthy individuals to explore the relationship involving the leptin receptor gene (Gln223Arg). The T2DM group was divided into 91 patients with macroproteinuria and 46 patients with normoproteinuria subgroups. The genetic analysis was conducted using the polymerase chain reaction-based restriction fragment length polymorphism (PCR-RFLP) technique.

Results

Our data revealed a significant increase in the frequency of gene polymorphism with HbA1c levels.

Conclusion

The Gln223Arg leptin receptor gene mutation may cause an elevation of HbA1c in T2DM patients with chronic kidney disease (CKD) in the mid-Black Sea region of the Anatolian Turkish population.

背景：肥胖与2型糖尿病（T2DM）的发生有显著关系。瘦素受体（LEPR）基因的遗传变异被认为对肾功能障碍和肥胖患者的T2DM发病有影响。本研究的重点是研究黑海中部地区安纳托利亚土耳其人LEPR基因Gln223Arg多态性与T2DM之间的联系。在这项研究中，我们检查了一组174例T2DM患者，并将其与30名健康个体的对照组进行比较，以探讨瘦素受体基因（Gln223Arg）的关系。T2DM组分为大蛋白尿组91例和正常蛋白尿组46例。采用基于聚合酶链反应的限制性片段长度多态性（PCR-RFLP）技术进行遗传分析。结果我们的数据显示，基因多态性的频率随着HbA1c水平的升高而显著增加。结论Gln223Arg瘦素受体基因突变可能导致安纳托利亚土耳其人口中黑海地区T2DM合并慢性肾脏疾病（CKD）患者HbA1c升高。

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引用次数: 0

Clinical evaluation of safety and efficacy of biozen syrup in patients with hyperlipidemia biozen糖浆治疗高脂血症的安全性和有效性的临床评价

Q2 Medicine

Obesity Medicine

Pub Date : 2025-05-01 Epub Date: 2025-03-21 DOI: 10.1016/j.obmed.2025.100601

Rajappan Chandra Satish Kumar , Subramaniam Nandhini , Bhuvaneshwaran Mothishwaran , Chittaranjan Das , Anavarathan Vallipuram , Muhasaparur Ganesan Rajanandh

Background

The increasing prevalence of hyperlipidemia has become one of the greatest threats to public health. While pharmacological treatments are effective for the management of hyperlipidemia, alternative approaches like dietary supplements are gaining interest for their natural benefits. The present study aimed to evaluate the safety and efficacy of biozen syrup comprised of garlic, apple-cider vinegar, lemon and honey for controlling patients with hyperlipidemia.

Methods

A prospective, open-label study was conducted on patients who had hyperlipidemia. Patients were given with biozen syrup (15 ml in 100 ml warm water) twice daily for 90 days. Clinical assessments and laboratory findings were compared before (day 0) and after (day 90) starting the treatment.

Results

A total of 60 patients were enrolled in the study. After administration of biozen syrup, serum total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), very low-density lipoprotein cholesterol (VLDL-C), high-sensitivity C-reactive protein (hs-CRP), homocysteine, and apolipoprotein B levels significantly decreased (p < 0.001). The mean serum apolipoprotein A1, high-density lipoprotein cholesterol (HDL-C) were raised post-treatment (p < 0.001). Treatment with biozen syrup had no significant effects (p > 0.001) on serum biochemical parameters related to liver, kidney functions and hematological parameters. Gastrointestinal disturbances was the most frequently occurred ADR (58 %).

Conclusion

The results demonstrated that the biozen was safe and efficacious in lowering the levels of bad cholesterol and raising the levels of good cholesterol.

背景：高脂血症的日益流行已成为公众健康的最大威胁之一。虽然药物治疗对高脂血症的治疗是有效的，但像膳食补充剂这样的替代方法因其天然的益处而受到关注。本研究旨在评价由大蒜、苹果醋、柠檬和蜂蜜组成的biozen糖浆控制高脂血症患者的安全性和有效性。方法对高脂血症患者进行前瞻性、开放标签研究。患者每日2次给予biozen糖浆（15 ml放入100 ml温水中），连续90天。比较治疗开始前（第0天）和治疗开始后（第90天）的临床评估和实验室结果。结果共纳入60例患者。给药后，血清总胆固醇（TC）、甘油三酯（TG）、低密度脂蛋白胆固醇（LDL-C）、极低密度脂蛋白胆固醇（VLDL-C）、高敏c反应蛋白（hs-CRP）、同型半胱氨酸和载脂蛋白B水平显著降低(p <；0.001)。治疗后血清载脂蛋白A1、高密度脂蛋白胆固醇（HDL-C）均升高(p <；0.001)。用生化糖浆治疗无显著效果(p >；0.001)对肝肾功能相关生化指标和血液学指标的影响。胃肠道紊乱是最常见的不良反应（58%）。结论该制剂具有降低坏胆固醇、提高好胆固醇的作用，安全有效。

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引用次数: 0

The acute effects of animal and plant-based milk intake before endurance exercise in overweight and obese women: Interplay between lipolysis and proteolysis 超重和肥胖妇女耐力运动前动物和植物性牛奶摄入的急性效应：脂肪分解和蛋白质分解之间的相互作用

Q2 Medicine

Obesity Medicine

Pub Date : 2025-05-01 Epub Date: 2025-03-27 DOI: 10.1016/j.obmed.2025.100603

Soheila Moghaddam Eftekhari , Marziyeh Saghebjoo , Fatemeh Islami , Fereshteh Ahmadabadi

Aims

Obesity is the underlying cause of several metabolic disorders, and regular endurance exercise (EE) is considered one of the main weight loss strategies. Since females have less muscle mass than males, maintaining muscle mass is crucial for them in specific exercise considerations and nutritional strategies designed to produce weight loss. This study aimed to investigate the response of serum levels of glycerol, urea, insulin-like growth factor-1 (IGF-1), and cortisol to performing an EE session following the consumption of animal and plant-based milk in overweight and obese young women.

Methods

After 8 h of overnight fasting, 10 female participants consumed 500 ml of water, low-fat cow's milk (LFCM), and soy milk (SM), randomly in three sessions, then performed 90-min EE at 65 % VO2max. Biochemical parameters were measured immediately before and after and 1 h after each session of EE.

Results

The glycerol level increased immediately after EE in the LFCM and water groups compared to the baseline (P < 0.001), and decreased 1 h after EE in both consumption groups compared to the immediately after EE (P values 0.002, <0.001; respectively). Despite the significant increase in urea level 1 h after EE compared to the baseline level with SM consumption (P < 0.001) and immediately and 1 h after EE compared to the baseline with LFCM consumption (P values 0.001, <0.001; respectively), the urea levels remained unchanged with water consumption. Cortisol level was decreased immediately and 1 h after EE in all three groups compared to the baseline (P < 0.001).

Conclusions

Drinking LFCM and water before the EE under overnight fasting conditions similarly stimulates lipolysis, as evidenced by comparable increases in glycerol level. Additionally, SM consumption appears to enhance anti-degradation pathways of muscle proteins compared to LFCM, based on lower urea levels post-exercise.

目的肥胖是几种代谢紊乱的潜在原因，定期耐力运动（EE）被认为是主要的减肥策略之一。由于女性的肌肉量比男性少，因此在特定的运动考虑和旨在减肥的营养策略中，保持肌肉量对她们来说至关重要。本研究旨在探讨超重和肥胖年轻女性在食用动物和植物奶后，血清甘油、尿素、胰岛素样生长因子-1 （IGF-1）和皮质醇水平对情感表达的反应。方法禁食8小时后，10名女性参与者随机分3次饮用500毫升水、低脂牛奶（LFCM）和豆浆（SM），然后以65%最大摄氧量进行90分钟的EE。测定各组EE前后及1 h的生化指标。结果与基线相比，LFCM组和水组在EE后甘油水平立即升高(P <；0.001)，并且在吃完EE后1小时，与吃完EE后立即相比，两组都有所下降(P值0.002,<0.001；分别)。尽管与SM消耗的基线水平相比，EE后1小时尿素水平显著增加(P <；0.001)，与LFCM摄入量的基线相比，EE后立即和1小时(P值0.001,<0.001；尿素水平随水分的消耗而保持不变。与基线相比，三组患者的皮质醇水平立即和1小时后均下降(P <；0.001)。结论：空腹过夜条件下，在EE前饮用LFCM和水同样刺激脂肪分解，甘油水平也相应增加。此外，基于运动后较低的尿素水平，与LFCM相比，SM消耗似乎增强了肌肉蛋白质的抗降解途径。

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引用次数: 0

Exploring genes related to impaired insulin secretion and the interaction with diet in type 2 diabetes mellitus: A scoping review of observational studies 探索与2型糖尿病胰岛素分泌受损及其与饮食相互作用相关的基因：一项观察性研究的范围综述

Q2 Medicine

Obesity Medicine

Pub Date : 2025-05-01 Epub Date: 2025-04-17 DOI: 10.1016/j.obmed.2025.100611

Rambu L.N.K.R. Triandhini , Ahmad Hamim Sadewa , Siti Helmiyati

Diabetes mellitus is a metabolic disorder and a major global health concern. This scoping review aimed to systematically map current data that describe the relationship between genetic variant interactions related to insulin secretion and diet with the incidence of type 2 diabetes mellitus. A literature search was conducted through PubMed, Cochrane, EBSCO, ProQuest, and hand searching. Thirteen eligible articles were obtained from 1375 searches in the database; TCF7L2 variants were the most frequently examined and demonstrated interactions with fiber, followed by the CDKAL1 gene variant, which showed interactions mainly with dietary components, such as fats, proteins, and coffee. Statistically significant findings were also reported for IGFBP2, NOTCH2, KCNJ11, GIPR, HFE, and ZBED3 variants. Nevertheless, most of these studies are yet to be replicated, and some findings indicated inconsistencies. Gene interactions related to insulin secretion and diet play important roles in the risk of type 2 diabetes, although further research is required to validate these findings.

糖尿病是一种代谢紊乱，是一个主要的全球健康问题。本综述旨在系统地绘制当前数据，描述与胰岛素分泌和饮食相关的遗传变异相互作用与2型糖尿病发病率之间的关系。通过PubMed、Cochrane、EBSCO、ProQuest和手工检索进行文献检索。从数据库的1375次检索中获得13篇符合条件的文章；TCF7L2变异是最常被检测到的，并显示出与纤维的相互作用，其次是CDKAL1基因变异，主要显示出与饮食成分（如脂肪、蛋白质和咖啡）的相互作用。IGFBP2、NOTCH2、KCNJ11、GIPR、HFE和ZBED3变异也有统计学意义的发现。然而，这些研究中的大多数还有待重复，一些研究结果表明不一致。与胰岛素分泌和饮食相关的基因相互作用在2型糖尿病的风险中起着重要作用，尽管需要进一步的研究来验证这些发现。

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引用次数: 0

Exploring uric acid as a biomarker in lipedema and lymphedema: A metabolomics study with prospective validation 探索尿酸作为脂水肿和淋巴水肿的生物标志物：一项具有前瞻性验证的代谢组学研究

Q2 Medicine

Obesity Medicine

Pub Date : 2025-05-01 Epub Date: 2025-05-13 DOI: 10.1016/j.obmed.2025.100618

Fahad Alkhalfan , Naseer Sangwan , Anu Aggarwal , Alliefair Scalise , José O. Alemán , Bhairavi Rajasekar , Douglas Joseph , Kimberly Peterson , Annelise Hamer , Mariya Ali , John R. Bartholomew , Scott J. Cameron

Aims

Lipedema is a condition often mistaken for other causes of limb swelling including lymphedema and obesity. Lipedema may have a unique metabolic profile. Interrogation of the metabolome is a strategy that could reveal unique biomarkers to distinguish lipedema from lymphedema and obesity.

Methods

Unbiased metabolomics was utilized to examine 38 BMI-matched overweight patients compared with patients with lipedema, lymphedema, and lipolymphedema. Machine learning identified biomarkers to distinguish diseases, and further examined in a validation cohort of 198 patients with each disorders. Adjustments were made for baseline clinical and demographic variables.

Results

Plasma metabolomics firstly revealed uric acid as a biomarker that performs well to distinguish between phenotypically similar diseases in patients with elevated BMI. In a validation cohort of 64 patients with lipedema, uric acid (5.05 mg/dL) was compared with 64 patients with lymphedema (5.4 mg/dl), and 70 overweight patients without these conditions (4.6 mg/dL, p < 0.05). Uric acid-to-cystatin c ratio distinguished between all three groups (Lipedema: 5.2; Lymphedema: 6.3; overweight: 4.0, p < 0.01); however, significance was lost after adjustment for renal function.

Conclusion

Metabolomic analysis revealed uric acid may differentiate between lipedema, lymphedema, lipolymphedema and obese individuals without those conditions. In a validation cohort, while uric acid was higher in lipedema and lymphedema, uric acid adjusted by cystatin c clearance revealed uric acid to be a less useful marker to distinguish lipedema from lymphedema in the context of renal insufficiency.

目的：肢体水肿是一种经常被误认为肢体肿胀的其他原因，包括淋巴水肿和肥胖。脂水肿可能具有独特的代谢特征。代谢组的询问是一种策略，可以揭示独特的生物标志物，以区分脂水肿、淋巴水肿和肥胖。方法采用偏倚代谢组学方法对38例bmi匹配的超重患者与脂性水肿、淋巴水肿和脂性水肿患者进行比较。机器学习识别生物标志物以区分疾病，并在每种疾病的198名患者的验证队列中进一步检查。对基线临床和人口统计学变量进行了调整。结果血浆代谢组学首次揭示了尿酸作为一种生物标志物，能够很好地区分BMI升高患者的表型相似疾病。在64例脂水肿患者的验证队列中，尿酸（5.05 mg/dL）与64例淋巴水肿患者（5.4 mg/dL）和70例没有这些情况的超重患者(4.6 mg/dL, p <；0.05)。尿酸与胱抑素c比值在三组之间的差异(脂水肿：5.2；淋巴水肿:6.3;超重：4.0,p <；0.01);然而，在调整肾功能后，其意义就失去了。结论代谢组学分析显示尿酸可区分脂肪水肿、淋巴水肿、脂肪水肿和肥胖个体。在一个验证队列中，虽然尿酸在脂水肿和淋巴水肿中较高，但通过胱抑素c清除调节的尿酸显示，在肾功能不全的情况下，尿酸作为区分脂水肿和淋巴水肿的一个不太有用的标志物。

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引用次数: 0