Metabolism open最新文献

{"title":"Impact of a virtual Culinary medicine curriculum on fatty acid profiles in medical students","authors":"Selina Böttcher ,&nbsp;Thomas Ellrott ,&nbsp;Miriam Rabehl ,&nbsp;Can G. Leineweber ,&nbsp;Chaoxuan Wang ,&nbsp;Uwe Neumann ,&nbsp;Anne Pietzner ,&nbsp;Christoph Schmöcker ,&nbsp;Karsten H. Weylandt","doi":"10.1016/j.metop.2025.100431","DOIUrl":"10.1016/j.metop.2025.100431","url":null,"abstract":"<div><h3>Background</h3><div>Culinary Medicine (CM) has gained increasing popularity as an educational approach to improve nutrition-related competencies among healthcare professionals. Previous studies have demonstrated increased counseling competencies, but also improvements in dietary behaviors among participants, however, objective biomarker-based evidence of such behavioral changes remains scarce. This pilot study aimed to explore preliminary effects of a CM course on biochemical and anthropometric parameters, and to evaluate the feasibility of biomarker assessment among medical students.</div></div><div><h3>Methods</h3><div>In this exploratory pre-post study, medical students completed a 20-h virtual CM curriculum. Blood samples were collected before and after the course to assess lipid parameters, HbA1c, erythrocyte fatty acid compositions, and body weight.</div></div><div><h3>Results</h3><div>Of 30 enrolled students, 13 participated in the biomarker assessment. There were slight non-significant decreases in Body Mass Index (−0.08 kg/m², <em>p</em> = 0.07) and standard laboratory lipid parameters, including LDL Cholesterol (−0.08 mmol/L, <em>p</em> = 0.598) and total cholesterol (−0.12 mmol/L, <em>p</em> = 0.493). Significant alterations in erythrocyte fatty acids were detected with a slight increase in saturated fatty acids (+0.78 %, <em>p</em> = 0.004) and, in particular, monounsaturated fatty acids (+1.04 %, <em>p</em> = 0.004), accompanied by a significant decrease in n-6 polyunsaturated fatty acids (−2.28 %, <em>p</em> = 0.003).</div></div><div><h3>Discussion</h3><div>This pilot study demonstrates the feasibility of conducting biomarker-based evaluations within a CM curriculum and provides preliminary biochemical evidence supporting previous self-reported findings of dietary behavior change. The study illustrates a promising approach for integrating objective outcome measures into CM education and informs the design of future, adequately powered trials.</div></div>","PeriodicalId":94141,"journal":{"name":"Metabolism open","volume":"29 ","pages":"Article 100431"},"PeriodicalIF":2.7,"publicationDate":"2025-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145739278","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":"Machine learning–based binary classification of elevated HbA1c (≥6.5 %) for risk assessment","authors":"Dler Hussein Kadir ,&nbsp;Azhin Mohammed Khudhur ,&nbsp;Hewir Abdulqadir Khidir","doi":"10.1016/j.metop.2025.100428","DOIUrl":"10.1016/j.metop.2025.100428","url":null,"abstract":"<div><h3>Objective</h3><div>One of the most important biomarkers for evaluating long-term glycemic management and estimating the risk of diabetes is glycated hemoglobin (HbA1c). Early risk assessment and intervention techniques can be improved by identifying important clinical and demographic variables. Through the integration of clinical indicators (lipid profiles, albumin, and liver enzymes) and demographic characteristics (age, gender), this study seeks to create a comprehensive HbA1c prediction model.</div></div><div><h3>Study design</h3><div>To find the most important factors, logistic regression was used to evaluate 482 cases using a stepwise selection process.</div></div><div><h3>Results</h3><div>With an area under the curve (AUC) of 0.797, the final model had strong predictive ability. Age (OR = 1.085, p &lt; 0.001), glutamate pyruvate transaminase (GPT) (OR = 1.011, p = 0.0127), high-density lipoprotein (HDL) (OR = 0.969, p = 0.017), VitaminD3 (OR = 1.023, p = 0.014), and very low-density lipoprotein (VDL) (OR = 1.016, p = 0.018) were all significant predictors.</div></div><div><h3>Conclusions</h3><div>The greatest predictor was age, which was positively correlated with elevated HbA1c levels, whereas HDL had a protective impact. The addition of VitaminD3, VDL, and GPT implies that indicators of liver and metabolic function have a major role in the variability of HbA1c. These results demonstrate how normal clinical and demographic data may be incorporated into predictive models for early diabetes risk assessment, enabling more individualized medical care and bettering patient outcomes.</div></div>","PeriodicalId":94141,"journal":{"name":"Metabolism open","volume":"29 ","pages":"Article 100428"},"PeriodicalIF":2.7,"publicationDate":"2025-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145705821","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":"Breakpoint-resolved balanced t(2;12)(q35;q24.31) disrupting HNF1A in multigenerational MODY-3: Diagnostic utility of long-read genome sequencing and therapeutic impact","authors":"Pamela Rivero-García ,&nbsp;Osvaldo M. Mutchinick ,&nbsp;Eira Huerta-Ávila ,&nbsp;Ilse A. Colorado ,&nbsp;Cristy Alfonso-López ,&nbsp;Renata Rivera-Juárez ,&nbsp;Virginia Santiago-Cano ,&nbsp;Juan José Morales-Suárez ,&nbsp;Alfredo Hidalgo-Miranda ,&nbsp;Yevgeniya Svyryd","doi":"10.1016/j.metop.2025.100430","DOIUrl":"10.1016/j.metop.2025.100430","url":null,"abstract":"<div><div>Balanced translocations that interrupt <em>HNF1A</em> are seldom documented in MODY-3. We studied a three-generation family with early-onset, non-autoimmune diabetes consistent with MODY-3. Conventional karyotyping revealed a balanced reciprocal translocation, t(2; 12)(q35; q24.31). We then opted for long-read genome sequencing using ONT® PromethION™ (median coverage 22X; read N50 11.4 kb), which mapped breakpoints at chr12:120,984,209 (<em>HNF1A</em> intron 1) and chr2:218,759,723 (intergenic region). Segregation analysis revealed that the rearrangement cosegregates with diabetes across three generations (5 affected individuals; 1 carrier). Although expression assays were not performed, disruption of <em>HNF1A</em> within intron 1 is most consistent with loss-of-function and haploinsufficiency in this context. After molecular diagnosis, sulfonylureas were added to the treatment regimen of four affected relatives, resulting in favorable clinical outcomes. To our knowledge, multigenerational cosegregation of a balanced translocation directly disrupting <em>HNF1A</em> has not been previously reported. This case introduces a breakpoint-level mechanism for MODY-3 and demonstrates why long-read sequencing is crucial when a karyotype indicates a balanced rearrangement near a monogenic diabetes locus: it resolves the structure and shortens the path to a treatment decision.</div></div>","PeriodicalId":94141,"journal":{"name":"Metabolism open","volume":"29 ","pages":"Article 100430"},"PeriodicalIF":2.7,"publicationDate":"2025-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145739277","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":"First European case of Geller syndrome complicated with hypokalemic nephropathy: A case report and literature review","authors":"Efstratios Gavriilidis ,&nbsp;Christina Antoniadou ,&nbsp;Georgia Dimopoulou ,&nbsp;Evangelos Papadimitriou ,&nbsp;Stefania-Aspasia Bakola ,&nbsp;Charalampos Papagoras ,&nbsp;Panagiotis Skendros ,&nbsp;Dimitrios Tsilingiris","doi":"10.1016/j.metop.2025.100429","DOIUrl":"10.1016/j.metop.2025.100429","url":null,"abstract":"<div><div>Geller syndrome is caused by a gain-of-function mutation in the mineralocorticoid receptor (MR), rendering it prone to activation by elevated progesterone levels during pregnancy. It is characterized by gestational hypertension and hypokalemia. We describe the case of a 35-year-old primigravida, who presented at 22 weeks of gestation with severe hypokalemia and hypertension, complicated by hypokalemic nephropathy manifesting as diabetes insipidus and proteinuria. Initial potassium replacement, eplerenone administration and desmopressin were insufficient, whereas the administration of amiloride, a potassium-sparing diuretic that inhibits epithelial sodium channels (ENaC) in the distal nephron, led to complete resolution of the clinical syndrome. The patient had no further complications and delivered a healthy infant at 37 weeks. Genetic testing did not reveal known MR mutations, suggesting that other genetic variants or epigenetic changes in MR may warrant future investigation, particularly in isolated populations. To date, 17 cases of Geller syndrome have been reported in the literature including the herein presented, which is to the best of our knowledge the first documented in Europe. Genetic testing was performed in only one case, apart from the initially reported ones. Urgent delivery was required in four cases, while amiloride, the treatment of choice, was administered in only five, highlighting the importance of early recognition of the syndrome for effective management and prevention of adverse pregnancy outcomes.</div></div>","PeriodicalId":94141,"journal":{"name":"Metabolism open","volume":"29 ","pages":"Article 100429"},"PeriodicalIF":2.7,"publicationDate":"2025-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145739276","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":"Cross-sectional mediation analysis of systemic inflammation in the association between serum uric acid and diabetic kidney disease: Evidence from NHANES 1999–2018","authors":"Jiaying Wang ,&nbsp;Weijing Liu ,&nbsp;Jiaoyan Li ,&nbsp;Mengxiao Li ,&nbsp;Heyan Feng ,&nbsp;Shangfei Liu ,&nbsp;Yanzhe Cheng ,&nbsp;Wei Li","doi":"10.1016/j.metop.2025.100426","DOIUrl":"10.1016/j.metop.2025.100426","url":null,"abstract":"<div><h3>Objective</h3><div>To investigate whether systemic inflammation, quantified by the Aggregate Index of Systemic Inflammation (AISI), mediates the association between uric acid (UA) and diabetic kidney disease (DKD).</div></div><div><h3>Study design</h3><div>We analyzed data from 1716 adults with diabetes in NHANES 1999–2018. We used regression to assess UA-AISI-DKD associations and mediation analysis to quantify AISI's indirect effect. A random forest model, interpreted via SHAP, predicted DKD risk.</div></div><div><h3>Results</h3><div>Each 1 mg/dL increase in UA was associated with a 14 % higher DKD risk (adjusted OR = 1.14, 95 % CI: 1.04–1.26). UA was positively associated with AISI (β = 0.0356, p = 0.0058), which in turn predicted DKD (OR = 1.25 per SD increase in ln-AISI, 95 % CI: 1.10–1.42). AISI partially mediates (10.94 %) the association between UA and DKD, indicating that systemic inflammation is one of several pathways linking hyperuricemia to renal injury. The random forest model performed best, with SHAP highlighting AISI as a key positive predictor.</div></div><div><h3>Conclusion</h3><div>Systemic inflammation, as measured by AISI, partially mediates the cross-sectional association between serum uric acid and diabetic kidney disease, supporting inflammation as one of several contributing pathways. The predictive performance of models incorporating AISI remains modest and does not outperform conventional clinical risk scores.</div></div>","PeriodicalId":94141,"journal":{"name":"Metabolism open","volume":"28 ","pages":"Article 100426"},"PeriodicalIF":2.7,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145684481","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":"Association of sleep quality and glycemic variability among South Indian rural patients with Type-2 diabetes mellitus","authors":"Mohammed Azhar Hussain ,&nbsp;H. Anil Kumar ,&nbsp;Mahadevamma Lingaiah","doi":"10.1016/j.metop.2025.100427","DOIUrl":"10.1016/j.metop.2025.100427","url":null,"abstract":"<div><h3>Background</h3><div>Sleep quality plays a vital role in glucose homeostasis and may influence glycemic variability among diabetic individuals. The main objective of this study is to investigate the relationship between subjective sleep quality and glycemic variability in patients with Type-2 diabetes mellitus (T2DM).</div></div><div><h3>Methods</h3><div>Sixty-two adults with type 2 diabetes mellitus underwent Continuous Glucose Monitoring (CGM) and sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). Patients with at least three days of valid CGM data were included in the analyses. Glycemic variability was quantified using coefficient of variation (%CV). Spearman's correlation and multiple linear regression modelling were used to examine the association between glycemic variability (%CV) and sleep quality.</div></div><div><h3>Results</h3><div>Sleep-efficiency showed a significant positive correlation with %CV (r = 0.28, p = 0.03), whereas greater sleep disturbances were associated with lower TBR (r = −0.27, p = 0.04). A %CV threshold of 32.3 was identified as a cutoff for distinguishing stable and unstable glycemic patterns; however, this threshold is exploratory and requires further validation. In multiple linear regression analyses reduced sleep efficiency (β = 7.77, p = 0.002) was significantly associated with higher glycemic variability, while sleep medication use (β = −2.12, p = 0.01) also showed significant association after adjustment for HbA1c, microvascular and macrovascular complications.</div></div><div><h3>Conclusion</h3><div>Poor sleep quality, particularly sleep efficiency exhibited a significant relationship with glycemic variability. Improving sleep quality may represent a practical and modifiable strategy to improve glycemic stability in this population.</div></div>","PeriodicalId":94141,"journal":{"name":"Metabolism open","volume":"28 ","pages":"Article 100427"},"PeriodicalIF":2.7,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145684482","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":"Fighting fire with fire: PLA2G15 inhibition mobilizes BMP lipids to combat NPC1 disease","authors":"Wei Meng ,&nbsp;Junli Liu ,&nbsp;Xun Huang","doi":"10.1016/j.metop.2025.100390","DOIUrl":"10.1016/j.metop.2025.100390","url":null,"abstract":"","PeriodicalId":94141,"journal":{"name":"Metabolism open","volume":"28 ","pages":"Article 100390"},"PeriodicalIF":2.7,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145736478","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":"Deoxycholic Acid and Lipoteichoic Acid cooperatively drive macrophage M2/M1 polarization via TGR5/STAT3 and TLR2/NF-κB to fuel HCC progression in obesity","authors":"Jian Wu ,&nbsp;wen Zheng ,&nbsp;Xu-zhen Ding ,&nbsp;Qiao-ping Jin ,&nbsp;Ming-xing Ding","doi":"10.1016/j.metop.2025.100420","DOIUrl":"10.1016/j.metop.2025.100420","url":null,"abstract":"<div><h3>Background</h3><div>Obesity-related hepatocellular carcinoma (HCC) is associated with gut microbiota dysbiosis. However, the specific roles of key microbial metabolites, deoxycholic acid (DCA) and lipoteichoic acid (LTA), in modulating the immune microenvironment and promoting HCC progression are not fully understood.</div></div><div><h3>Aim</h3><div>This study aimed to elucidate the synergistic effects and mechanisms of DCA and LTA in obesity-related HCC.</div></div><div><h3>Methods</h3><div>An obesity-related HCC model was established in mice using a high-fat diet combined with diethylnitrosamine. In vitro, macrophage and HCC cell co-culture systems were utilized, along with gene knockdown approaches.</div></div><div><h3>Results</h3><div>Combined DCA and LTA treatment synergistically exacerbated liver fibrosis and tumorigenesis in the mouse model. This was accompanied by suppressed expression of Cdkn1a and Cdkn2a, and activation of GPC-3 and CD44. Mechanistically, DCA promoted M2 macrophage polarization via the TGR5-STAT3 axis, whereas LTA drove M1 polarization via TLR2-NF-κB. In co-culture, knockdown of TLR2 and TGR5 reversed the pro-tumorigenic effects of DCA and LTA, inhibiting the epithelial-mesenchymal transition and reducing cancer cell invasion.</div></div><div><h3>Conclusion</h3><div>DCA and LTA synergistically promote HCC progression in obesity by co-modulating the TLR2-TGR5 signaling axis in macrophages, thereby reshaping the tumor immune microenvironment.</div></div>","PeriodicalId":94141,"journal":{"name":"Metabolism open","volume":"28 ","pages":"Article 100420"},"PeriodicalIF":2.7,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145684424","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":"Corrigendum to “Prevalence of normal weight obesity among adults in Southeast Asia: Insights from a systematic review and meta-analysis” [Metabol. Open 28C (2025) 100416]","authors":"K.G. Sruthi ,&nbsp;C. Aditya ,&nbsp;Paramjot Panda ,&nbsp;Jyoti Ranjan Mohanty ,&nbsp;Manas Ranjan Behera","doi":"10.1016/j.metop.2025.100425","DOIUrl":"10.1016/j.metop.2025.100425","url":null,"abstract":"","PeriodicalId":94141,"journal":{"name":"Metabolism open","volume":"28 ","pages":"Article 100425"},"PeriodicalIF":2.7,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145736477","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":"Gestational diabetes alters prefrontal neurochemistry and disrupts maternal behaviors: Role of Fibrillin-1, serotonin, and TNF-α in rats","authors":"Samira Khayat ,&nbsp;Hamed Fanaei ,&nbsp;Abdolvahed Safarzaei","doi":"10.1016/j.metop.2025.100422","DOIUrl":"10.1016/j.metop.2025.100422","url":null,"abstract":"<div><h3>Objective</h3><div>Gestational diabetes mellitus (GDM) is a metabolic disorder that can impact various aspects of maternal behavior and neurochemical processes. This study aimed to investigate the effects of GDM on FBN1 (fibrillin-1) gene expression, TNF-alpha, serotonin and maternal behavior in rat.</div></div><div><h3>Materials and methods</h3><div>A total of twenty female Wistar rats were randomly divided into two groups: the control group and the gestational diabetes mellitus (GDM) group. The study compared maternal behavior patterns between the GDM and control groups and measured the following in the hippocampus and prefrontal cortex: TNF-α and serotonin levels (via ELISA), and FBN1 mRNA expression (via qRT-PCR).</div></div><div><h3>Results</h3><div>The findings demonstrated that TNF-α levels (<em>P</em> = 0.0025) were significantly higher in the prefrontal cortex of the GDM group compared to the control group, whereas serotonin levels (<em>P</em> = 0.0037) were significantly lower. Additionally, <em>FBN1</em> mRNA expression levels (<em>P</em> = 0.012) in the prefrontal cortex of GDM group were significantly higher than those in the control group. In terms of maternal behavior, the GDM group exhibited weakened behaviors compared to the control group. Specifically, endurance of maternal behaviors such as the duration of breastfeeding (P = 0.024), nesting (P = 0.016), and pup grooming (P = 0.017) were significantly decreased in the GDM group compared to control group. The speed of integration of maternal behaviors, specifically the latency to onset of pup retrieval (P = 0.0018), significantly increased, while the number of breastfeeding instances (P = 0.0026) significantly decreased in the GDM group compared to the control group. Furthermore, the emotionality (self-calming) aspect of maternal behavior, specifically self-grooming, exhibited a significant decreases in both duration (P = 0.0097) and number of instances (P = 0.0029) in the GDM group compared to the control group. In the hippocampus, only TNF-α levels were significantly elevated in the GDM group (P = 0.0003); no significant differences were found in serotonin or FBN1 mRNA expression.</div></div><div><h3>Conclusion</h3><div>These results demonstrate that GDM significantly dysregulates prefrontal cortex neurochemistry (increasing TNF-α and FBN1 mRNA while decreasing serotonin) and profoundly weakens maternal behavior, affecting its endurance, speed of integration, and emotional components in rats.</div></div>","PeriodicalId":94141,"journal":{"name":"Metabolism open","volume":"28 ","pages":"Article 100422"},"PeriodicalIF":2.7,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145617840","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}