Obesity Facts最新文献

{"title":"Youths with extreme obesity: A high-risk group for pain and mental health impairments.","authors":"Hannah Schmidt,Ingo Menrath,Susanna Wiegand,Thomas Reinehr,Wieland Kiess,Johannes Hebebrand,Julia von Schnurbein,Reinhard W Holl,Rolf Holle,André Scherag,Martin Wabitsch,Stephanie Brandt-Heunemann","doi":"10.1159/000540888","DOIUrl":"https://doi.org/10.1159/000540888","url":null,"abstract":"BACKGROUNDYouths with extreme obesity (Body mass index (BMI)>40) are at increased risk for physical and mental health impairments but this patient group has received little attention in research. This study aimed to analyze the pain experience and mental health impairments of youths with extreme obesity compared to those with mild and moderate obesity (BMI=30-39.9) by considering gender differences.METHODSCross-sectional data of 431 youths (M=16.6; SD=2.3; 53.1% female) were analyzed. Of these, 159 (36.8%) youths were characterized by extreme obesity. Self-reported sociodemographic data, pain-related variables, depression, and health-related quality of life (HRQoL) were assessed with standardized questionnaires. Data were analyzed with univariate tests and logistic regression models.RESULTSYouths with extreme obesity reported more pain in the last 4 weeks (p=.018), increased pain-related impairments in daily life (p=.009), more pain-related days of absence (p=.030), higher depression scores (p = .030), and reduced HRQoL (p=.005) compared to youths with mild and moderate obesity. In regression models, extreme obesity and pain in the last 4 weeks were associated when additionally including sex and age in the model (odds ratio 1.88; 95 % confidence interval 1.16 - 30.40, p=.010). In the subgroup of extreme obesity (n=159), women (n=83) reported more pain in the last 4 weeks (p=.001), higher depression scores (p<.001), and lower HRQoL (p<.001) compared to men (n=76).CONCLUSIONThese findings underpin the need for standardized assessments of pain and mental health, especially in the treatment of female youths with extreme obesity. Upcoming studies may analyze reciprocal interactions since both aspects are important barriers for lifestyle changes and weight loss.","PeriodicalId":19414,"journal":{"name":"Obesity Facts","volume":"13 1","pages":"1-25"},"PeriodicalIF":3.6,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142253668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bibliometric insights into research hotspots and trends in obesity and asthma from 2013 to 2023.","authors":"Peng Cao,Jiake Li,Guohui Wang,Xulong Sun,Zhi Luo,Shaihong Zhu,Liyong Zhu","doi":"10.1159/000541474","DOIUrl":"https://doi.org/10.1159/000541474","url":null,"abstract":"INTRODUCTIONObesity and asthma are closely linked, but the current state of research on this topic and future research directions have yet to be comprehensively explored. This study aims to provide an up-to-date overview of the research landscape in the field of obesity and asthma.METHODSA bibliometric analysis was conducted using the Web of Science Core Collection database to identify papers published on obesity and asthma between 2013 and 2023. VOSviewer software was utilized for statistical analysis and visualization of collaborative networks, research trends, literature sources, citation analysis, co-citation analysis, and keyword analysis.RESULTSA total of 3406 records from 1010 journals authored by 17347 researchers affiliated with 4573 institutes across 117 countries and regions were retrieved. The number of publications and citations increased annually. The United States and China contributed the majority of records. Major nodes in the collaboration network map included Harvard Medical School, Johns Hopkins University, University of Newcastle, Karolinska Institution, University of Toronto, and Seoul National University. Prolific authors included Anne E. Dixon, Erick Forno, Lisa G. Wood, Deepa Rastogi, and Fernando Holguin. Research trends and hotspots focused on metabolism studies, Mendelian randomization, gut microbiome, inflammation response, gene, biomarker research, and comorbidities were identified as potential future research frontiers.CONCLUSIONThis study provides a comprehensive overview of the current research status and trends in the field of obesity and asthma. Our findings highlight the importance of understanding collaboration patterns, research hotspots, and emerging frontiers to guide future research in this area.","PeriodicalId":19414,"journal":{"name":"Obesity Facts","volume":"194 1","pages":"1-34"},"PeriodicalIF":3.6,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142253666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Long-term change in BMI for children with obesity treated in family-centered lifestyle interventions.","authors":"Rasmus Møller Jørgensen,Henrik Støvring,Jane Nautrup Østergaard,Susanne Hede,Katrine Svendsen,Esben Thyssen Vestergaard,Jens Meldgaard Bruun","doi":"10.1159/000540389","DOIUrl":"https://doi.org/10.1159/000540389","url":null,"abstract":"Introduction Several evaluations of lifestyle interventions for childhood obesity exist; however, follow-up beyond two years is necessary to validate the effect. The aim of the present study was to investigate long-term weight development following children participating in one of two pragmatic family-centered lifestyle interventions for children with obesity. Methods This real-life observational study included Danish children 4-17 years of age classified as having obesity. Data from 2010-2020, from two community-based family-centered lifestyle interventions (designated hereafter as the Aarhus- and the Randers-intervention) were merged with national registers and routine health check-ups, including height and weight. Adjusted mixed effect models were used to model changes in Body Mass Index (BMI) z-score. We performed exploratory analyses of the development in BMI z-score within stratified subgroups of children treated in the interventions before investigating potential effect modifications induced by sex, age, family structure, socioeconomic or immigration status. Results With a median follow-up of 2.8 years (interquartile range: 1.3;4.8), 703 children participated in an intervention (445 the Aarhus-intervention; 258 the Randers-intervention) and 2,337 children were not invited to participate (no-intervention). Children in both interventions experienced a comparable reduction in BMI z-scores during the first 6 months compared to the no-intervention group (Aarhus-intervention: -0.12 SD/year and Randers-intervention: -0.25 SD/year). Only children in the Randers-intervention reduced their BMI z-score throughout follow-up (Aarhus-intervention vs. no-intervention: 0.01 SD/year; CI:-0.01;0.04; Randers-intervention vs. no-intervention: -0.05 SD/year; CI:-0.08;-0.02). In a subgroup comparisons combining the two interventions, family income below the median (-0.05 SD/year, CI: -0.02;-0.09), immigrant background (0.04 SD/year, CI: 0.00; 0.07), or receiving intervention less than one year (0.04 SD/year, CI: 0.00;0.08) were associated with a yearly change in BMI z-score. In addition, effect modification analyses did not observe any interaction by sex, age, family structure, socioeconomic or immigration. Conclusions Although the more dynamic intervention with longer duration obtained and sustained a minor reduction in BMI z-score, the clinical impact may only be modest. However, this effect may at the best be only modest and still not effective enough to induce a long-term beneficial development in BMI in children with obesity.","PeriodicalId":19414,"journal":{"name":"Obesity Facts","volume":"66 1","pages":"1-19"},"PeriodicalIF":3.6,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142253667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Semaglutide Treatment in a Patient with Extreme Obesity and Massive Lymphedema: A Case Report.","authors":"Joanne Thanh-Tâm Nguyen,Marie-Amélie Barbet-Massin,Emilie Pupier,Alice Larroumet,Laurène Bosc,Marie Michelet,Maud Monsaingeon-Henry,Blandine Gatta-Cherifi","doi":"10.1159/000540241","DOIUrl":"https://doi.org/10.1159/000540241","url":null,"abstract":"INTRODUCTIONExtreme obesity (BMI ≥ 50 kg/m2) is a complex pathology to treat. One of the complications of extreme obesity is massive localized lymphedema (MLL), due to compromised lymphatic drainage. There is a lack of literature guiding the medical management of these conditions.CASE PRESENTATIONWe present a 43-year-old male who was admitted to our specialized obesity center for weight management. His initial weight was 255 kg and BMI, 93.7 kg/m2. He suffered from massive multifocal lymphedema of his left leg. He was bedridden due to his condition and malnourished, as shown by multiple vitamin deficiencies. The patient received care from our multidisciplinary team including nurses, dieticians, physical therapists, and psychologists. Treatment with semaglutide was started in hospital and continued at home. The maximal dose used was 1 mg/week but decreased during follow-up to 0.25 mg/week to avoid malnutrition. Protein and nutritional supplements were added. At 28 weeks of therapy, the patient had lost 40 kg or 15.7% of his total body weight (TBW). His lymphedema decreased; he had lost at least 16 cm of his left thigh circumference. He was able to walk again and regain autonomy of his daily activities of living.CONCLUSIONSemaglutide can be effective in patients with extreme obesity, with the support of a multidisciplinary team in a specialized obesity center. It can also help decrease MLL. More data is needed to guide medical treatment of patients with extreme obesity and MLL.","PeriodicalId":19414,"journal":{"name":"Obesity Facts","volume":"2 1","pages":"1-11"},"PeriodicalIF":3.6,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142192529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Psychometric Properties of the WBIS/M in a Representative Prebariatric Sample: Evidence for an Improved 10-Item Version.","authors":"Simon Schraven, Claudia Hübner, Janina Eichler, Thomas Mansfeld, Johannes Sander, Florian Seyfried, Stefan Kaiser, Arne Dietrich, Ricarda Schmidt, Anja Hilbert","doi":"10.1159/000537689","DOIUrl":"10.1159/000537689","url":null,"abstract":"<p><strong>Introduction: </strong>The Weight Bias Internalization Scale and the Modified Weight Bias Internalization Scale are well-established self-report questionnaires for assessing weight bias internalization, which is widespread among bariatric patients. However, among this group, psychometric properties of the Weight Bias Internalization Scale have only been examined in small samples showing unsatisfactory model fit and have not been explored for the modified questionnaire.</p><p><strong>Methods: </strong>This study psychometrically evaluated and compared the Weight Bias Internalization Scale and Modified Weight Bias Internalization Scale in a large sample of prebariatric patients (N = 825, mean age = 46.75 years, SD = 11.55) regarding item characteristics, model fit to unidimensionality, reliability, construct validity, and measurement invariance.</p><p><strong>Results: </strong>Item 4 of both questionnaires showed low corrected item-total correlations (&lt;0.40) and was therefore removed from the scales. The new 10-item versions showed improved item characteristics, internal consistency, model fit to unidimensionality, and convergent and divergent validity when compared to the 11-item versions. The best psychometric properties were found for the 10-item version of the Modified Weight Bias Internalization Scale.</p><p><strong>Conclusion: </strong>The 10-item version of the Modified Weight Bias Internalization Scale surpasses the other versions studied in all psychometric properties. Therefore, it should be used in prebariatric patients to detect weight bias internalization and provide them with psychological interventions that could improve bariatric surgery outcomes.</p>","PeriodicalId":19414,"journal":{"name":"Obesity Facts","volume":" ","pages":"329-337"},"PeriodicalIF":3.9,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11299967/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139730181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Behind BMI: The Potential Indicative Role of Abdominal Ectopic Fat on Glucose Metabolism.","authors":"Xiaoyang Li, Hao Ren, Hui Xu, Xinjun Han, Jun Lu, Zhenghan Yang","doi":"10.1159/000536160","DOIUrl":"10.1159/000536160","url":null,"abstract":"<p><strong>Introduction: </strong>The purpose of this study was to compare the difference in abdominal fat distribution between different metabolic groups and find the ectopic fat with the most risk significance.</p><p><strong>Methods: </strong>A total of 98 subjects were enrolled; there were 53 cases in the normal glucose metabolism group and 45 cases in the abnormal glucose metabolism group. Chemical shift-encoded magnetic resonance imaging was applied for quantification of pancreatic fat fraction (PFF) and hepatic fat fraction (HFF), subcutaneous adipose tissue (SAT), and visceral adipose tissue (VAT). The correlation and the difference of fat distribution between different metabolism groups were analyzed. The receiver operating characteristic (ROC) curve was used to analyze the suggestive effect of different body fat fraction.</p><p><strong>Results: </strong>Correlation analysis showed that body mass index (BMI) had the strongest correlation with fasting insulin (r = 0.473, p &lt; 0.001), HOMA-IR (r = 0.363, p &lt; 0.001), and C-reactive protein (r = 0.245, p &lt; 0.05). Pancreatic fat has a good correlation with fasting blood glucose (r = 0.247, p &lt; 0.05) and HbA1c (r = 0.363, p &lt; 0.001). With the increase of BMI, PFF, VAT, and SAT showed a clear upward trend, but liver fat was distributed relatively more randomly. The pancreatic fat content in the abnormal glucose metabolism group is significantly higher than that in the normal group, and pancreatic fat is also a reliable indicator of abnormal glucose metabolism, especially in the normal and overweight groups (the area under the curve was 0.859 and 0.864, respectively).</p><p><strong>Conclusion: </strong>MR-based fat quantification techniques can provide additional information on fat distribution. There are differences in fat distribution among people with different metabolic status. People with more severe pancreatic fat deposition have a higher risk of glucose metabolism disorders.</p>","PeriodicalId":19414,"journal":{"name":"Obesity Facts","volume":" ","pages":"158-168"},"PeriodicalIF":3.6,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10987183/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139512971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adipositas Care and Health Therapy (ACHT) after Bariatric-Metabolic Surgery: A Prospective, Non-Randomized Intervention Study.","authors":"Renée Stark, Anna Renz, Michael Hanselmann, Christina Haas, Anne Neumann, Oliver Martini, Florian Seyfried, Michael Laxy, Christine Stier, Bettina Zippel-Schultz, Martin Fassnacht, Ann-Cathrin Koschker","doi":"10.1159/000538264","DOIUrl":"10.1159/000538264","url":null,"abstract":"<p><strong>Introduction: </strong>Almost 25% of German adults have obesity and numbers are rising, making it an important health issue. Bariatric-metabolic surgery reduces body weight and complications for persons with obesity, but therapeutic success requires long-term postoperative care. Since no German standards for follow-up by family physicians exist, follow-up is provided by surgical obesity centers, but they are reaching their limits. The ACHT study, funded by the German Innovation Fund, is designed to establish and evaluate the follow-up program, with local physicians following patients supported remotely by obesity centers.</p><p><strong>Methods: </strong>ACHT is a multicenter, prospective, non-randomized control group study. The 18-month ACHT follow-up program is a digitally supported, structured, cross-sectoral, and close-to-home program to improve success after bariatric-metabolic surgery. Four groups are compared: intervention group 1 starts the program immediately (3 weeks) after Roux-en-Y gastric bypass or sleeve gastrectomy (months 1-18 postoperatively), intervention group 2 begins the program 18 months after surgery (months 19-36 postoperatively). Intervention groups are compared to respective control groups that had surgery 18 and 36 months previously. In total, 250 patients, enrolled in the intervention groups, are compared with 360 patients in the control groups, who only receive standard care.</p><p><strong>Results: </strong>The primary endpoint to compare intervention and control groups is the adapted King's score, a composite tool evaluating physical, psychological, socioeconomic, and functional health status. Secondary endpoints include changes in care structures and care processes for the intervention groups. Multivariate regression analyses adjusting for confounders (including the type of surgery) are used to compare intervention and control groups and evaluate determinants in longitudinal analyses. The effect of the intervention on healthcare costs will be evaluated based on health insurance billing data of patients who had bariatric-metabolic surgery in the 3 years prior to the start of the study and of patients who undergo bariatric-metabolic surgery during the study period.</p><p><strong>Conclusions: </strong>ACHT will be the one of the first evaluated structured, close-to-home follow-up programs for bariatric surgery in Germany. It will evaluate the effectiveness of the implemented program regarding improvements in health status, mental health, quality of life, and the feasibility of such a program outside of specialized obesity centers.</p>","PeriodicalId":19414,"journal":{"name":"Obesity Facts","volume":" ","pages":"311-324"},"PeriodicalIF":3.9,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11149979/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140306332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prelims.","authors":"","doi":"10.1159/000538583","DOIUrl":"https://doi.org/10.1159/000538583","url":null,"abstract":"","PeriodicalId":19414,"journal":{"name":"Obesity Facts","volume":"17 Suppl 1 ","pages":"1-6"},"PeriodicalIF":3.6,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140891060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"High Obesity Indices Are Associated with Gastroesophageal Reflux Disease, but Low Obesity Indices Are Associated with Peptic Ulcer Disease in a Large Taiwanese Population Study.","authors":"Chien-Cheng Chen, Jiun-Hung Geng, Pei-Yu Wu, Jiun-Chi Huang, Huang-Ming Hu, Szu-Chia Chen, Chao-Hung Kuo","doi":"10.1159/000540281","DOIUrl":"10.1159/000540281","url":null,"abstract":"<p><strong>Introduction: </strong>Gastroesophageal reflux disease (GERD) and peptic ulcer disease (PUD) are prevalent in Taiwan. Few studies have investigated the associations between obesity indices with GERD and PUD simultaneously. This study aimed to investigate the correlations among obesity indices with GERD and PUD in a large cohort of participants, around 120,000, in the Taiwan Biobank (TWB).</p><p><strong>Methods: </strong>A total of 121,583 participants (male: 43,698; female: 77,885; mean age 49.9 ± 11.0 years) were included to analyze the associations among obesity indices, including body mass index (BMI), waist-hip ratio (WHR), waist-to-height ratio (WHtR), body roundness index (BRI), abdominal volume index (AVI), lipid accumulation product (LAP), visceral adiposity index (VAI), and triglyceride-glucose index (TyG index), with GERD and PUD. Self-reported GERD and PUD were obtained by questionnaires. Multivariate logistic regression analysis was employed to analyze the relationship between obesity indices with GERD and PUD.</p><p><strong>Results: </strong>The prevalence of GERD and PUD was 13.7% and 14.6%, respectively. After multivariable analysis, high WHR (odds ratio [OR] = 1.009, p &lt; 0.001), WHtR (OR = 1.005, p = 0.003), BRI (OR = 1.022, p = 0.005), AVI (OR = 1.013, p &lt; 0.001), LAP (OR = 1.001, p &lt; 0.001), TyG index (OR = 1.068, p &lt; 0.001), and VAI (OR = 1.013, p = 0.002) were significantly associated with GERD, except BMI (p = 0.384). On the other hand, low BMI (OR = 0.984; p &lt; 0.001) and AVI (OR = 0.994; p = 0.036) were significantly associated with PUD. However, the values of WHR (p = 0.151), WHtR (p = 0.304), BRI (p = 0.452), LAP (p = 0.799), VAI (p = 0.347), and TyG index (p = 0.642) were not.</p><p><strong>Conclusion: </strong>This study found that high obesity indices are associated with GERD, but low obesity indices are associated with PUD in a large Taiwanese population study. Our findings may alert physicians to notice that different obesity index may be associated with different gastrointestinal disorder.</p>","PeriodicalId":19414,"journal":{"name":"Obesity Facts","volume":" ","pages":"491-501"},"PeriodicalIF":3.9,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11458163/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141620551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ube2L6 Promotes M1 Macrophage Polarization in High-Fat Diet-Fed Obese Mice via ISGylation of STAT1 to Trigger STAT1 Activation.","authors":"Yunqian Li, Xiao Dong, Wenqian He, Huibiao Quan, Kaining Chen, Chaoping Cen, Weiping Wei","doi":"10.1159/000533966","DOIUrl":"10.1159/000533966","url":null,"abstract":"<p><strong>Introduction: </strong>In obesity-related type 2 diabetes mellitus (T2DM), M1 macrophages aggravate chronic inflammation and insulin resistance. ISG15-conjugation enzyme E2L6 (Ube2L6) has been demonstrated as a promoter of obesity and insulin resistance. This study investigated the function and mechanism of Ube2L6 in M1 macrophage polarization in obesity.</p><p><strong>Methods: </strong>Obesity was induced in Ube2L6AKO mice and age-matched Ube2L6flox/flox control mice by high-fat diet (HFD). Stromal vascular cells were isolated from the epididymal white adipose tissue of mice. Polarization induction was performed in mouse bone marrow-derived macrophages (BMDMs) by exposure to IFN-γ, lipopolysaccharide, or IL-4. F4/80 expression was assessed by immunohistochemistry staining. Expressions of M1/M2 macrophage markers and target molecules were determined by flow cytometry, RT-qPCR, and Western blotting, respectively. Protein interaction was validated by co-immunoprecipitation (Co-IP) assay. The release of TNF-α and IL-10 was detected by ELISA.</p><p><strong>Results: </strong>The polarization of pro-inflammatory M1 macrophages together with an increase in macrophage infiltration was observed in HFD-fed mice, which could be restrained by Ube2L6 knockdown. Additionally, Ube2L6 deficiency triggered the repolarization of BMDMs from M1 to M2 phenotypes. Mechanistically, Ube2L6 promoted the expression and activation of signal transducer and activator of transcription 1 (STAT1) through interferon-stimulated gene 15 (ISG15)-mediated ISGlylation, resulting in M1 macrophage polarization.</p><p><strong>Conclusion: </strong>Ube2L6 exerts as an activator of STAT1 via post-translational modification of STAT1 by ISG15, thereby triggering M1 macrophage polarization in HFD-fed obese mice. Overall, targeting Ube2L6 may represent an effective therapeutic strategy for ameliorating obesity-related T2DM.</p>","PeriodicalId":19414,"journal":{"name":"Obesity Facts","volume":" ","pages":"24-36"},"PeriodicalIF":3.6,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10836867/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41207413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}