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Wang P, Wang R, Zhao W, Zhao Y, Wang D, Zhao S, Ge Z, Ma Y, Zhao X. Gut microbiota-derived 4-hydroxyphenylacetic acid from resveratrol supplementation prevents obesity through SIRT1 signaling activation. Gut Microbes 2025; 17:2446391. [PMID: 39725607 DOI: 10.1080/19490976.2024.2446391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2024] [Revised: 12/11/2024] [Accepted: 12/18/2024] [Indexed: 12/28/2024] Open
Abstract
Resveratrol (RSV), a natural polyphenol, has been suggested to influence glucose and lipid metabolism. However, the underlying molecular mechanism of its action remains largely unknown due to its multiple biological targets and low bioavailability. In this study, we demonstrate that RSV supplementation ameliorates high-fat-diet (HFD)-induced gut microbiota dysbiosis, enhancing the abundance of anti-obesity bacterial strains such as Akkermansia, Bacteroides and Blautia. The critical role of gut microbiota in RSV-mediated anti-obesity effects was confirmed through antibiotic-induced microbiome depletion and fecal microbiota transplantation (FMT), which showed that RSV treatment effectively mitigates body weight, histopathological damage, glucose dysregulation and systematic inflammation associated with HFD. Metabolomics analysis revealed that RSV supplementation significantly increases the levels of the gut microbial flavonoid catabolite 4-hydroxyphenylacetic acid (4-HPA). Notably, 4-HPA was sufficient to reverse obesity and glucose intolerance in HFD-fed mice. Mechanistically,4-HPA treatment markedly regulates SIRT1 signaling pathways and induces the expression of beige fat and thermogenesis-specific markers in white adipose tissue (WAT). These beneficial effects of 4-HPA are partially abolished by EX527, a known SIRT1 inhibitor. Collectively, our findings indicate that RSV improve obesity through a gut microbiota-derived 4-HPA-SIRT1 axis, highlighting gut microbiota metabolites as a promising target for obesity prevention.
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Affiliation(s)
- Pan Wang
- Institute of Agri-Food Processing and Nutrition, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Beijing Key Laboratory of Agricultural Products of Fruits and Vegetables Preservation and Processing, Key Laboratory of Vegetable Postharvest Processing, Ministry of Agriculture and Rural Affairs, Beijing, China
| | - Ruiqi Wang
- Institute of Agri-Food Processing and Nutrition, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Beijing Key Laboratory of Agricultural Products of Fruits and Vegetables Preservation and Processing, Key Laboratory of Vegetable Postharvest Processing, Ministry of Agriculture and Rural Affairs, Beijing, China
| | - Wenting Zhao
- Institute of Agri-Food Processing and Nutrition, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Beijing Key Laboratory of Agricultural Products of Fruits and Vegetables Preservation and Processing, Key Laboratory of Vegetable Postharvest Processing, Ministry of Agriculture and Rural Affairs, Beijing, China
| | - Yuanyuan Zhao
- Institute of Agri-Food Processing and Nutrition, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Beijing Key Laboratory of Agricultural Products of Fruits and Vegetables Preservation and Processing, Key Laboratory of Vegetable Postharvest Processing, Ministry of Agriculture and Rural Affairs, Beijing, China
| | - Dan Wang
- Institute of Agri-Food Processing and Nutrition, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Beijing Key Laboratory of Agricultural Products of Fruits and Vegetables Preservation and Processing, Key Laboratory of Vegetable Postharvest Processing, Ministry of Agriculture and Rural Affairs, Beijing, China
| | - Shuang Zhao
- Institute of Agri-Food Processing and Nutrition, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Beijing Key Laboratory of Agricultural Products of Fruits and Vegetables Preservation and Processing, Key Laboratory of Vegetable Postharvest Processing, Ministry of Agriculture and Rural Affairs, Beijing, China
| | - Zhiwen Ge
- Institute of Agri-Food Processing and Nutrition, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Beijing Key Laboratory of Agricultural Products of Fruits and Vegetables Preservation and Processing, Key Laboratory of Vegetable Postharvest Processing, Ministry of Agriculture and Rural Affairs, Beijing, China
| | - Yue Ma
- Institute of Agri-Food Processing and Nutrition, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Beijing Key Laboratory of Agricultural Products of Fruits and Vegetables Preservation and Processing, Key Laboratory of Vegetable Postharvest Processing, Ministry of Agriculture and Rural Affairs, Beijing, China
| | - Xiaoyan Zhao
- Institute of Agri-Food Processing and Nutrition, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Beijing Key Laboratory of Agricultural Products of Fruits and Vegetables Preservation and Processing, Key Laboratory of Vegetable Postharvest Processing, Ministry of Agriculture and Rural Affairs, Beijing, China
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Elsheikh M, Sano T, Mizokami A, Nakatsu Y, Asano T, Kanematsu T. miR-6402 targets Bmpr2 and negatively regulates mouse adipogenesis. Adipocyte 2025; 14:2474114. [PMID: 40028748 PMCID: PMC11881869 DOI: 10.1080/21623945.2025.2474114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2024] [Revised: 01/21/2025] [Accepted: 02/25/2025] [Indexed: 03/05/2025] Open
Abstract
Obesity is characterized by macrophage infiltration into adipose tissue. White adipose tissue remodelling under inflammatory conditions involves both hypertrophy and adipogenesis and is regulated by transcription factors, which are influenced by bone morphogenetic protein (BMP) signalling. MicroRNAs (miRNAs) regulate gene expression and are involved in obesity-related processes such as adipogenesis. Therefore, we identified differentially expressed miRNAs in the epididymal white adipose tissue (eWAT) of mice fed a normal diet (ND) and those fed a high-fat diet (HFD). The expression of miR-6402 was significantly suppressed in the inflamed eWAT of HFD-fed mice than in ND-fed mice. Furthermore, Bmpr2, the receptor for BMP4, was identified as a target gene of miR-6402. Consistently, miR-6402 was downregulated in the inflamed eWAT of HFD-fed mice and in 3T3-L1 cells (preadipocytes) and differentiated 3T3-L1 cells (mature adipocytes) , and BMPR2 expression in these cells was upregulated. Adipogenesis was induced in WAT by BMP4 injection (in vivo) and in 3T3-L1 cells by BMP4 stimulation (in vitro), both of which were inhibited by miR-6402 transfection. Inflamed eWAT showed higher expression of BMPR2 and the adipogenesis markers C/EBPβ and PPARγ, which was suppressed by miR-6402 transfection. Our findings suggest that miR-6402 is a novel anti-adipogenic miRNA that combats obesity by inhibiting the BMP4/BMPR2 signalling pathway and subsequently reducing adipose tissue expansion.
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Affiliation(s)
- Malaz Elsheikh
- Department of Cell Biology, Aging Science, and Pharmacology, Division of Oral Biological Sciences, Faculty of Dental Science, Kyushu University, Fukuoka, Japan
| | - Tomomi Sano
- Department of Cell Biology, Aging Science, and Pharmacology, Division of Oral Biological Sciences, Faculty of Dental Science, Kyushu University, Fukuoka, Japan
| | - Akiko Mizokami
- OBT Research Center, Faculty of Dental Science, Kyushu University, Fukuoka, Japan
| | - Yusuke Nakatsu
- Department of Biological Chemistry, Institute of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Tomoichiro Asano
- Department of Biological Chemistry, Institute of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Takashi Kanematsu
- Department of Cell Biology, Aging Science, and Pharmacology, Division of Oral Biological Sciences, Faculty of Dental Science, Kyushu University, Fukuoka, Japan
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McEwan P, Bøg M, Faurby M, Foos V, Lingvay I, Lübker C, Miller R, Toliver JC, Yeates F, Lincoff AM. Cost-effectiveness of semaglutide in people with obesity and cardiovascular disease without diabetes. J Med Econ 2025; 28:268-278. [PMID: 39882599 DOI: 10.1080/13696998.2025.2459529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2024] [Revised: 01/24/2025] [Accepted: 01/24/2025] [Indexed: 01/31/2025]
Abstract
AIMS The cardioprotective effects of semaglutide 2.4 mg reported in the SELECT cardiovascular (CV) outcomes trial (ClinicalTrials.gov NCT03574597) provide clinical benefit for subjects with overweight or obesity and established CV disease without type 2 diabetes (T2D). We assessed cost-effectiveness of semaglutide 2.4 mg in this population against the American College of Cardiology/American Heart Association value framework. MATERIALS AND METHODS A cohort-level Markov-state cost-effectiveness model using trial-derived data with outcomes from a healthcare sector perspective measured over a lifetime horizon was developed. Treatment costs were based on US list prices; scenario analyses used literature-reported estimated rebates. Healthcare costs and benefits were discounted at 3.0%. A simulated cohort of 100,000 subjects was aligned to the SELECT trial population baseline characteristics and time-on-treatment. Subjects received either semaglutide 2.4 mg or placebo in addition to standard of care (SoC). Modelled outcomes included clinical events (CV events, progression to T2D, chronic kidney disease [CKD]) and health economic measures, including direct costs and quality-adjusted life years (QALYs). RESULTS Mean semaglutide 2.4 mg treatment duration was 2.79 years. Per 100,000 subjects, treatment avoided 2,791 non-fatal myocardial infarctions, 3,000 coronary revascularizations, 487 non-fatal strokes, and 115 CV deaths over the modeled lifetime horizon. Average per-subject lifetime treatment costs were $47,353; savings arose from avoided T2D ($14,431), CKD ($2,074), and CV events ($1,512). Semaglutide 2.4 mg was associated with increased lifetime costs ($29,767), additional QALYs gained (0.218) and an incremental cost-effectiveness ratio of $136,271/QALY at list price; a scenario using an empirically estimated 48% rebate predicted $32,219/QALY. LIMITATIONS The generalizability of observations from SELECT to a broader US population is unknown. Our model does not capture all outcomes nor costs that may be affected by weight loss. Modeling assumptions may present limitations. CONCLUSIONS Semaglutide 2.4 mg use as in SELECT is cost-effective at list price, using a $150,000/QALY willingness-to-pay threshold.
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Affiliation(s)
- Phil McEwan
- Health Economics, Health Economics and Outcomes Research Ltd, Cardiff, UK
| | | | - Mads Faurby
- Novo Nordisk Inc, Plainsboro, New Jersey, USA
| | - Volker Foos
- Health Economics, Health Economics and Outcomes Research Ltd, Cardiff, UK
| | - Ildiko Lingvay
- Department of Internal Medicine (Endocrinology Division) and Peter O'Donnel Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | | | - Ryan Miller
- Health Economics, Health Economics and Outcomes Research Ltd, Cardiff, UK
| | | | - Florian Yeates
- Health Economics, Health Economics and Outcomes Research Ltd, Cardiff, UK
| | - A Michael Lincoff
- Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, Ohio, USA
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Kong X, Wang Q, Wang H, Yang Y, Guo L, Song S, Zhao Y, Ma X, Wang X, Sun Q. Association of lipid accumulation products, or cardiometabolic index with asymptomatic intracranial arterial stenosis: A population-based study in Shandong, China. J Stroke Cerebrovasc Dis 2025; 34:108273. [PMID: 40044095 DOI: 10.1016/j.jstrokecerebrovasdis.2025.108273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2024] [Revised: 02/11/2025] [Accepted: 03/02/2025] [Indexed: 03/30/2025] Open
Abstract
OBJECTIVES This study aimed to investigate the association of novel obesity indicators (lipid accumulation product [LAP] and cardiometabolic index [CMI]) with asymptomatic intracranial arterial stenosis (aICAS), particularly in different obesity statuses. MATERIALS AND METHODS The study included 1994 participants (aged ≥ 40 years) from the Rose Asymptomatic Intracranial Artery Stenosis (RICAS) study, free of stroke or transient ischemic attack. Participants with aICAS were screened using transcranial Doppler ultrasound and diagnosed via magnetic resonance angiography. Multivariate logistic regression and receiver operating characteristic (ROC) curves were used to explore the association of LAP or CMI with aICAS. RESULTS A total of 146 participants were diagnosed with aICAS. Higher levels of LAP and CMI were associated with aICAS, particularly with moderate-to-severe aICAS. Notably, LAP was significantly associated with aICAS (OR 1.58; 95 % CI, 1.00-2.49; P = 0.048), and was showed the highest area under the curve (AUC, 0.654) among the three indicators (LAP, CMI, and BMI) in underweight and normal weight participants (Body mass index [BMI] ≤23.9 kg/m²). In the obesity population (BMI ≥28.0 kg/m2), CMI was significantly associated with aICAS (OR 1.40; 95 % CI, 1.11-1.77; P = 0.005), and was showed the highest AUC (0.610). CONCLUSIONS This study found a positive association between elevated levels of LAP or CMI and aICAS. Furthermore, LAP was significantly correlated with aICAS in underweight and normal weight individuals, while CMI was associated with aICAS in obesity individuals. Our findings may provide additional risk stratification information for aICAS.
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Affiliation(s)
- Xianglong Kong
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
| | - Qiao Wang
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
| | - Hailing Wang
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
| | - Yumeng Yang
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China.
| | - Liying Guo
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China.
| | - Shiqing Song
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China.
| | - Yuanyuan Zhao
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
| | - Xiaotong Ma
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
| | - Xiang Wang
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
| | - Qinjian Sun
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China; Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China.
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Vahtera V, Pajarinen JS, Kivimäki M, Ervasti J, Pentti J, Stenholm S, Vahtera J, Salminen P. Incidence of new onset arterial hypertension after metabolic bariatric surgery: an 8-year prospective follow-up with matched controls. J Hypertens 2025; 43:871-879. [PMID: 40084493 DOI: 10.1097/hjh.0000000000003993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2024] [Accepted: 02/10/2025] [Indexed: 03/16/2025]
Abstract
BACKGROUND Metabolic bariatric surgery (MBS) reduces the risk of new-onset hypertension; however, it is unclear whether this effect varies according to patient sex, age, or socioeconomic background. This study aimed to assess the risk of new-onset arterial hypertension after MBS, with a special focus on these patient characteristics. METHODS This follow-up study with matched controls was nested in a large employee cohort, the Finnish Public Sector study, consisting of individuals with no hypertension at baseline. For each patient who underwent laparoscopic MBS between 2008 and 2016, two propensity-score matched controls were selected from individuals hospitalized with a diagnosis of obesity or individuals with self-reported severe obesity [body mass index (BMI) ≥ 35 kg/m 2 ] but no recorded history of MBS. Cases of new-onset hypertension were identified via linked electronic health records from the national health registries until December 31, 2016. RESULTS The study included 912 patients and 1780 matched controls. The rate of new-onset hypertension per 1000 person-years was 2.8 in the surgery group and 9.6 in the control group, with a rate ratio of 0.29 (95% confidence intervals 0.15-0.57) and a rate difference of -6.8 (95% confidence intervals -9.6 to -4.0) per 1000 person-years. No significant differences in rate reduction after MBS were observed to be associated with patient sex, age, or socioeconomic status. CONCLUSION Metabolic bariatric surgery reduces the risk of new-onset arterial hypertension across all age-, sex-, and socioeconomic subgroups.
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Affiliation(s)
- Viiko Vahtera
- Päijät-Häme Central Hospital, Department of Surgery, Lahti
- Department of Surgery, University of Turku, Turku
| | - Jukka S Pajarinen
- Department of Plastic and Reconstructive Surgery, University of Helsinki and Helsinki University Central Hospital, Helsinki
| | - Mika Kivimäki
- Finnish Institute of Occupational Health, Finland
- UCL Brain Sciences, University College London, London, UK
- Clinicum, Faculty of Medicine, University of Helsinki
| | | | - Jaana Pentti
- Clinicum, Faculty of Medicine, University of Helsinki
- Department of Public Health
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Sari Stenholm
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Research Services, Turku University Hospital and University of Turku
| | - Jussi Vahtera
- Department of Public Health
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Paulina Salminen
- Department of Surgery, University of Turku, Turku
- Division of Digestive Surgery and Urology, Turku University Hospital, Turku, Finland
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Mela V, Martín-Reyes F, Oliva-Olivera W, Cantarero-Cuenca A, Sánchez-García A, Sancho-Marín R, González-Jimenez A, Tomé M, Moreno-Ruiz FJ, Soler-Humanes R, Fernández-Serrano JL, Sanchez-Gallegos P, Martínez-Moreno JM, Tinahones FJ, García-Fuentes E, Garrido-Sánchez L. Serum miR-365b-5p/miR-222-5p as a potential diagnostic biomarker for long-term weight loss in patients with morbid obesity after bariatric surgery. Metabolism 2025; 165:156129. [PMID: 39743042 DOI: 10.1016/j.metabol.2024.156129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2024] [Revised: 12/05/2024] [Accepted: 12/27/2024] [Indexed: 01/04/2025]
Abstract
BACKGROUND The successful weight loss following bariatric surgery is not achieved in all patients with morbid obesity (MO). This study aims to determine whether a serum miRNA profile can predict this outcome. DESIGN Thirty-three patients with MO were classified in "Good Responders" (GR, percentage of excess weight loss (%EWL) ≥ 50 %) or "Non-Responders" (NR, %EWL < 50 %) according to the %EWL 5-8 year following bariatric surgery. Baseline serum miRNA sequencing was performed to find predictor biomarkers and human adipocyte culture were performed to determine their effect. RESULTS Fifty-six differentially expressed miRNAs were found between GR and NR. Logistic regression models showed two miRNAs, hsa-miR-365b-5p (upregulated in GR) and hsa-miR-222-5p (upregulated in NR) associated to %EWL. Receiver operating characteristic curves showed that the combination of these miRNAs was the best serum miRNAs profile that distinguished between GR and NR. The experimentally validated target genes of these miRNAs were involved in processes related to the response to stress, cell cycle, transduction, and development and proliferation processes. The in vitro expression of six genes involved in adipogenesis and adipocyte differentiation (STAT3, ILR7, PARP1, SOD2, FGF2 and TMEM18) was downregulated in lipogenic and upregulated in lipolitic conditions in human adipocytes incubated with the combination of a hsa-miR-365b-5p mimic and a hsa-miR-222-5p inhibitor. CONCLUSIONS Baseline serum hsa-miR-365b-5p and hsa-miR-222-5p were able to predict %EWL 5-8 years following bariatric surgery. The combination of these potential predictive biomarkers was involved in regulating the expression levels of genes associated with obesity. However, these effects could be modified depending of other stimuli.
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Affiliation(s)
- Virginia Mela
- Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND, Malaga, Spain; Department of Medicine and Dermatology, Faculty of Medicine, University of Malaga, Malaga, Spain; Unidad de Gestión Clínica de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, Malaga, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto Salud Carlos III, Madrid, Spain
| | - Flores Martín-Reyes
- Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND, Malaga, Spain; Unidad de Gestión Clínica de Aparato Digestivo, Hospital Universitario Virgen de la Victoria, Malaga, Spain
| | - Wilfredo Oliva-Olivera
- Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND, Malaga, Spain; Unidad de Gestión Clínica de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, Malaga, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto Salud Carlos III, Madrid, Spain
| | - Antonio Cantarero-Cuenca
- Plataforma de Bioinformática, Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND, Málaga, Spain
| | - Ana Sánchez-García
- Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND, Malaga, Spain; Unidad de Gestión Clínica de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, Malaga, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto Salud Carlos III, Madrid, Spain
| | - Raquel Sancho-Marín
- Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND, Malaga, Spain; Unidad de Gestión Clínica de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, Malaga, Spain
| | - Andrés González-Jimenez
- Plataforma de Bioinformática, Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND, Málaga, Spain
| | - Mónica Tomé
- Unidad de Gestión Clínica de Endocrinología y Nutrición, Hospital Regional Universitario de Málaga, Malaga, Spain
| | - Francisco J Moreno-Ruiz
- Unidad de Gestión Clínica de Cirugía General, Digestiva y Transplantes, Hospital Regional Universitario de Málaga, Malaga, Spain
| | - Rocío Soler-Humanes
- Unidad de Gestión Clínica de Cirugía General y Digestiva, Hospital Universitario Virgen de la Victoria, Malaga, Spain
| | - José L Fernández-Serrano
- Unidad de Gestión Clínica de Cirugía General y Digestiva, Hospital Universitario Virgen de la Victoria, Malaga, Spain
| | - Pilar Sanchez-Gallegos
- Department of Surgical Specialties, Biochemistry and Immunology, Faculty of Medicine, University of Malaga, Malaga, Spain
| | - Jose M Martínez-Moreno
- Department of Surgical Specialties, Biochemistry and Immunology, Faculty of Medicine, University of Malaga, Malaga, Spain
| | - Francisco J Tinahones
- Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND, Malaga, Spain; Department of Medicine and Dermatology, Faculty of Medicine, University of Malaga, Malaga, Spain; Unidad de Gestión Clínica de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, Malaga, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto Salud Carlos III, Madrid, Spain.
| | - Eduardo García-Fuentes
- Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND, Malaga, Spain; Unidad de Gestión Clínica de Aparato Digestivo, Hospital Universitario Virgen de la Victoria, Malaga, Spain; CIBER Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto Salud Carlos III, Madrid, Spain.
| | - Lourdes Garrido-Sánchez
- Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND, Malaga, Spain; Unidad de Gestión Clínica de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, Malaga, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto Salud Carlos III, Madrid, Spain
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An JQ, Jia YZ, Shi XH, He X, Zhang JX, Ren YH, He QY. Global burden, trends and inequalities for ischaemic heart disease attributable to high fasting plasma glucose, high low-density lipoprotein cholesterol and high systolic blood pressure, 1990-2021: An analysis of the Global Burden of Disease Study 2021. Diabetes Obes Metab 2025; 27:2070-2085. [PMID: 39962724 DOI: 10.1111/dom.16199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2024] [Revised: 12/22/2024] [Accepted: 01/04/2025] [Indexed: 03/08/2025]
Abstract
AIMS The three key and direct risk factors for the significant health issue prevalent worldwide, ischaemic heart disease(IHD), are high fasting plasma glucose (HFPG), high low-density lipoprotein (HLDL) and high systolic blood pressure (HSBP) in metabolic syndrome (MetS). A comprehensive study is essential to present the most recent global epidemiological trends. METHODS IHD data attributable to HFPG, HLDL and HSBP (3H) were obtained from the Global Burden of Disease Study (GBD) 2021. The absolute burden was manifested in the number of death cases and disability-adjusted life years (DALY). The relative burden was quantified through the age-standardized mortality rate (ASMR) and the age-standardized DALY rate (ASDR). Estimated annual percentage change (EAPC) was used to measure trends. RESULTS HSBP caused the greatest IHD burden, followed by HLDL, which was much higher than HFPG. The IHD burden associated with HLDL and HSBP were more alike and notably different from HFPG. From 1990 to 2021, ASDR for HSBP and HLDL-related IHD generally declined, with the EAPC of -1.28 (95% CI: -1.34, -1.23) and -1.38 (95% CI: -1.44, -1.33). But the trend was less pronounced for HFPG-related IHD, with the EAPC of -0.90 (95% CI: -2.25, 0.46). The absolute burden was higher in men under 80 and peaked 5-10 years earlier than women. Compared to HSBP and HLDL, HFPG caused a significant increase in burden in low-middle and low socio-demographic index (SDI) regions. The high-middle SDI region, which originally had the highest burden, showed a clear downward trend after 2005 and was gradually overtaken by the low-middle region. Eastern Europe, Central Asia, North Africa and the Middle East had the highest burden among the regions with the same SDI level in Europe, Asia and Africa. CONCLUSION The HFPG-related IHD burden should be managed differently from HSBP and HLDL. Particular attention should be paid to men, older age groups and regions with low-middle SDI.
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Affiliation(s)
- Jun-Qiao An
- Department of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yu-Zhi Jia
- Department of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Xiao-Han Shi
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Xue He
- Department of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Jin-Xi Zhang
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Yue-Han Ren
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Qing-Yong He
- Department of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
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Attachaipanich T, Sriwichaiin S, Apaijai N, Thanyaratsarun T, Thongmung N, Vathesatogkit P, Sritara P, Chattipakorn N, Kitiyakara C, Chattipakorn SC. Obesity classified by anthropometric parameters was associated with mitochondrial bioenergetics impairment of peripheral blood mononuclear cells in the elderly population. Exp Gerontol 2025; 202:112724. [PMID: 40037474 DOI: 10.1016/j.exger.2025.112724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2025] [Revised: 02/28/2025] [Accepted: 03/01/2025] [Indexed: 03/06/2025]
Abstract
Waist circumference (WC), waist-to-height ratio (WHtR), and waist-to-hip ratio (WHR), even in individuals who have a normal body mass index (BMI), are correlated with cardiovascular events. The aim of this study is to establish the association between obesity and mitochondrial bioenergetics in peripheral blood mononuclear cells (PBMCs). The study included 1584 subjects from the Electricity Generating Authority of Thailand (EGAT) cohort. The mean age of participants in this study was 68.4 years. There was 24.2 % diabetes mellitus (DM) with a mean HbA1c level of 6.8. WC, WHR, and WHtR were associated with decreased basal, maximal respiration, spare respiratory capacity (SRC), and ATP production, whereas BMI was only associated with reduced maximal respiration and SRC. We further stratified the participants into four groups based on obesity classified by WHR and DM status: Non-DM/Non-obese (n = 468), Non-DM/Obese (n = 733), DM/Non-obese (n = 84), and DM/Obese (n = 299). Both obesity and DM were associated with mitochondrial bioenergetic impairment and increased mitochondrial oxidative stress. Interestingly, there was no difference in mitochondrial bioenergetics impairment between non-DM/Obese and DM participants. Our study demonstrated that WC, WHR, and WHtR better reflected underlying mitochondrial dysfunction in PBMCs compared to BMI. Furthermore, obesity was associated with mitochondrial dysfunction to the same degree as DM.
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Affiliation(s)
- Tanawat Attachaipanich
- Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand; Center of Excellence in Cardiac Electrophysiology Research, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand
| | - Sirawit Sriwichaiin
- Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand; Center of Excellence in Cardiac Electrophysiology Research, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand; Neurophysiology Unit, Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand; Department of Physiology, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand
| | - Nattayaporn Apaijai
- Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand; Center of Excellence in Cardiac Electrophysiology Research, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand; Neurophysiology Unit, Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand; Department of Physiology, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand
| | - Thanaphat Thanyaratsarun
- Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand
| | - Nisakron Thongmung
- Office of Research Academic and Innovation, Faculty of Medicine, Ramathibodi Hospital Mahidol University, Bangkok 10400, Thailand
| | - Prin Vathesatogkit
- Department of Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok 10400, Thailand
| | - Piyamitr Sritara
- Department of Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok 10400, Thailand
| | - Nipon Chattipakorn
- Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand; Center of Excellence in Cardiac Electrophysiology Research, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand; Neurophysiology Unit, Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand; Department of Physiology, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand; The Academy of Science, The Royal Society of Thailand, Bangkok, Thailand
| | - Chagriya Kitiyakara
- Department of Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok 10400, Thailand.
| | - Siriporn C Chattipakorn
- Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand; Center of Excellence in Cardiac Electrophysiology Research, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand; Neurophysiology Unit, Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand; Department of Oral Biology and Diagnostic Sciences, Faculty of Dentistry, Chiang Mai University, Chiang Mai 50200, Thailand.
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9
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Schreurs L, Bowman-Busato J, Gies I, Calabrò M, Morovic ML, Silva-Nunes J, Woodward E, De Cock D. Needs and challenges of the payor and regulatory community towards integrating obesity into a chronic care framework. Public Health 2025; 241:151-157. [PMID: 40009966 DOI: 10.1016/j.puhe.2025.01.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2024] [Revised: 12/09/2024] [Accepted: 01/23/2025] [Indexed: 02/28/2025]
Abstract
OBJECTIVES Obesity acts as the gateway disease to all Non-Communicable Diseases (NCDs). As the impact of NCDs continues to increase, projected to exceed 70 % of global mortality, there is an urgent need to improve the management of people living with obesity. People involved with health care policy must address the social and economic challenges that will likely develop as a result of the rise and severity in obesity. Therefore, we aimed to explore in the payors and regulatory community across Europe their needs and challenges to implement obesity in a chronic care framework. STUDY DESIGN Cross-sectional qualitative study. METHODS In this cross-sectional qualitative study, payors and regulators from various European countries were invited by purposive sampling between 14th of October 2023, and 15th of March 2024, to participate. Payors and regulators were interviewed, and data were transcribed and analysed using thematic analysis according to Qualitative Analysis Guide of Leuven (QUAGOL). RESULTS A total of 9 payors and 6 regulators were interviewed coming from 11 different European countries. Four themes (Structure of the healthcare system, political challenges, obesity perceptions, obesity treatment and management) were identified wherein challenges were mentioned for obesity. Payors and regulators emphasized the need for a proactive healthcare model, recognition of obesity as a policy-prioritised NCD, the integration of obesity care pathways and health promotion centres, and the registration of obesity in all care settings. CONCLUSIONS The payor and regulatory community advocated for a proactive approach to obesity, focusing on preventive interventions to mitigate the costs and health complications associated with NCDs.
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Affiliation(s)
- Lucas Schreurs
- Biostatistics and Medical Informatics Research Group, Department of Public Health, Faculty of Medicine and Pharmacy, Vrije Universiteit Brussel (VUB), 1090, Brussels, Belgium.
| | | | - Inge Gies
- Department of Pediatrics, Division of Pediatric Endocrinology, University Hospital of Brussels, Aartselaar 101, 1090, Jette, Belgium
| | - Michele Calabrò
- European Regional and Local Health Authorities asbl, Belgium
| | | | - Jose Silva-Nunes
- NOVA Medical School, Universidade Nova de Lisboa, Lisbon, Portugal; Department of Endocrinology, Diabetes and Metabolism - ULS, São José, Lisbon, Portugal
| | - Euan Woodward
- European Association for the Study of Obesity, Ireland
| | - Diederik De Cock
- Biostatistics and Medical Informatics Research Group, Department of Public Health, Faculty of Medicine and Pharmacy, Vrije Universiteit Brussel (VUB), 1090, Brussels, Belgium
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10
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Theodorakopoulou M, Miglinas M, Jørgensen MB. SELECT: a 10% reduction in body weight with GLP-1 receptor agonists improves kidney outcomes in overweight and obese patients without diabetes. Nephrol Dial Transplant 2025; 40:617-620. [PMID: 39304535 DOI: 10.1093/ndt/gfae207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2024] [Indexed: 09/22/2024] Open
Affiliation(s)
- Marieta Theodorakopoulou
- First Department of Nephrology, Hippokration Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Marius Miglinas
- Nephrology Center, Santaros Klinikos, Medical Faculty, Vilnius University, Vilnius, Lithuania
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11
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Imad N, Turon H, Grady A, Keenan S, Wyse R, Wolfenden L, Almond H, Belski R, Leonard A, Peeters A, Yoong S. Identifying effective obesity prevention intervention components: An umbrella review mapping systematic review evidence. Obes Rev 2025; 26:e13878. [PMID: 39648046 DOI: 10.1111/obr.13878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 07/11/2024] [Accepted: 11/17/2024] [Indexed: 12/10/2024]
Abstract
This overview of reviews synthesizes the effectiveness of obesity prevention interventions in children and adults on BMI/zBMI, following JBI and Cochrane Handbook guidelines. The protocol was prospectively registered in OSF in September 2020. Searches for eligible reviews were run in five databases and gray literature in May 2022. Systematic reviews published in 2010 and assessed BMI/zBMI outcomes of obesity prevention interventions were eligible. Screening, data extraction, and quality assessment were performed independently and in duplicate using standardized tools. For similar interventions, the more recent, higher-quality review was included. Thirty reviews reporting on 60 discrete interventions (i.e., a specific intervention component), mapped to 14 of 21 IOM sub-domains, were included. Nine interventions were classified as effective in improving BMI outcomes, including digital health or counseling interventions for adults in 'healthcare environments', behavioral interventions for children (broadly nutrition education), physical education curriculum modifications, and policies targeting food and beverages in 'School environments'. This review extends on previous reviews by consolidating evidence from high-quality, recent reviews to identify effective intervention components. Thus, this review provides direction for implementation efforts and highlights research gaps, where future research is warranted. However, as primary studies were not directly analyzed, gaps may reflect a lack of systematic reviews rather than primary research.
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Affiliation(s)
- Noor Imad
- Global Centre for Preventive Health and Nutrition, Institute for Health Transformation, School of Health and Social Development, Faculty of Health, Deakin University, Geelong, VIC, Australia
- Hunter New England Population Health, Wallsend, NSW, Australia
- School of Health Sciences, Department of Nursing and Allied Health, Swinburne University of Technology, Hawthorn, VIC, Australia
| | - Heidi Turon
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
| | - Alice Grady
- Hunter New England Population Health, Wallsend, NSW, Australia
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
| | - Stephen Keenan
- School of Health Sciences, Department of Nursing and Allied Health, Swinburne University of Technology, Hawthorn, VIC, Australia
| | - Rebecca Wyse
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
| | - Luke Wolfenden
- Hunter New England Population Health, Wallsend, NSW, Australia
| | - Helen Almond
- Australian Institute of Health Service Management, College of Business and Economics University of Tasmania, Hobart, TAS, Australia
| | - Regina Belski
- Sport, Performance and Nutrition Research Group, Department of Sport, Exercise and Nutrition Sciences, La Trobe University, VIC, Australia
| | - Alecia Leonard
- Hunter New England Population Health, Wallsend, NSW, Australia
| | - Anna Peeters
- Global Centre for Preventive Health and Nutrition, Institute for Health Transformation, School of Health and Social Development, Faculty of Health, Deakin University, Geelong, VIC, Australia
| | - Serene Yoong
- Global Centre for Preventive Health and Nutrition, Institute for Health Transformation, School of Health and Social Development, Faculty of Health, Deakin University, Geelong, VIC, Australia
- Hunter New England Population Health, Wallsend, NSW, Australia
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12
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Sequeira V, Theisen J, Ermer KJ, Oertel M, Xu A, Weissman D, Ecker K, Dudek J, Fassnacht M, Nickel A, Kohlhaas M, Maack C, Dischinger U. Semaglutide normalizes increased cardiomyocyte calcium transients in a rat model of high fat diet-induced obesity. ESC Heart Fail 2025; 12:1386-1397. [PMID: 39482267 PMCID: PMC11911617 DOI: 10.1002/ehf2.15152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2024] [Accepted: 10/14/2024] [Indexed: 11/03/2024] Open
Abstract
AIMS Obesity increases the risk of heart failure with preserved (HFpEF), but not reduced ejection fraction (HFrEF). The glucagon-like peptide-1 receptor agonist (GLP-1-RA) semaglutide improves outcome of patients with obesity with or without HFpEF, while GLP-1-RAs were associated with adverse outcome in patients with HFrEF. Here, we investigate the effect of in vivo treatment with semaglutide on excitation-contraction coupling in a rat model of obesity. METHODS AND RESULTS Rats received high-fat/high-fructose diet for 8 weeks and were then randomized to semaglutide (HFD/Sema) or vehicle (HFD/Veh) for another 8 weeks, during which they could choose between HFD and a low-fat/high-fructose diet (LFD). Control rats received either standard chow (CON), HFD or LFD only, without treatment. After 16 weeks, sarcomere shortening and cytosolic Ca2+ concentrations ([Ca2+]c) were determined in isolated cardiomyocytes. Compared with CON, HFD/Veh increased the amplitude of [Ca2+]c transients and systolic sarcomere shortening in absence or presence of β-adrenergic stimulation, which was reversed by HFD/Sema. Caffeine-induced sarcoplasmic reticulum (SR) Ca2+ release and L-type Ca2+ channel (LTCC) currents were reduced by HFD/Sema versus HFD/Veh, while SR Ca2+ ATPase activity remained unaffected. Compared with HFD, LFD increased [Ca2+]c transients and sarcomere shortening further despite similar effects on body weight. CONCLUSIONS While HFD increased cardiomyocyte [Ca2+]c transients and systolic sarcomere shortening, semaglutide normalized these alterations, mediated by reduced SR Ca2+ load and LTCC currents. Because increased LTCC currents were previously traced to cardiac hypertrophy, these effects may explain why GLP-1-RAs provide benefits for patients with obesity with or without HFpEF, but rather adverse outcome in HFrEF.
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Affiliation(s)
- Vasco Sequeira
- Department of Translational Science Universitätsklinikum, DZHI, Würzburg, Germany
| | - Julia Theisen
- Department of Translational Science Universitätsklinikum, DZHI, Würzburg, Germany
| | - Katharina J Ermer
- Department of Translational Science Universitätsklinikum, DZHI, Würzburg, Germany
| | - Marie Oertel
- Department of Internal Medicine, Division of Endocrinology and Diabetes, University Hospital Würzburg, Würzburg, Germany
| | - Anton Xu
- Department of Translational Science Universitätsklinikum, DZHI, Würzburg, Germany
| | - David Weissman
- Department of Translational Science Universitätsklinikum, DZHI, Würzburg, Germany
| | - Katharina Ecker
- Department of Translational Science Universitätsklinikum, DZHI, Würzburg, Germany
| | - Jan Dudek
- Department of Translational Science Universitätsklinikum, DZHI, Würzburg, Germany
| | - Martin Fassnacht
- Department of Internal Medicine, Division of Endocrinology and Diabetes, University Hospital Würzburg, Würzburg, Germany
| | - Alexander Nickel
- Department of Translational Science Universitätsklinikum, DZHI, Würzburg, Germany
| | - Michael Kohlhaas
- Department of Translational Science Universitätsklinikum, DZHI, Würzburg, Germany
| | - Christoph Maack
- Department of Translational Science Universitätsklinikum, DZHI, Würzburg, Germany
| | - Ulrich Dischinger
- Department of Translational Science Universitätsklinikum, DZHI, Würzburg, Germany
- Department of Internal Medicine, Division of Endocrinology and Diabetes, University Hospital Würzburg, Würzburg, Germany
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13
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Galavazi M, Wallenius V, Schnecke V, Ericsson Å, Björklund H, Jendle J. Evaluation of clinical benefits and economic value of weight loss in a Swedish population using a simulation model. Obesity (Silver Spring) 2025; 33:777-787. [PMID: 40074678 PMCID: PMC11937872 DOI: 10.1002/oby.24232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 11/07/2024] [Accepted: 11/30/2024] [Indexed: 03/14/2025]
Abstract
OBJECTIVE The objective of this study was to estimate the 10-year clinical benefits and economic value of weight loss in a Swedish population with obesity using a value of weight-loss simulation model. METHODS Data on the prevalence of and costs associated with obesity and obesity-related complications (ORCs) were applied within an adapted simulation model to evaluate weight-loss benefits for a 2023 Swedish population over 10 years. The 10-year incidence of 10 ORCs and treatment costs in a random cohort of 10,000 individuals were estimated for a stable weight scenario and four weight-loss (5%-20%) scenarios. RESULTS The model included 887,272 individuals with obesity aged 20 to 60 years. Hypertension (24.1%), asthma (20.9%), dyslipidemia (18.3%), and type 2 diabetes (10.6%) were highly prevalent. For 10,000 individuals, a 5% to 20% weight loss was estimated to prevent ORCs over 10 years, leading to annual savings between 9.0 million Swedish krona (SEK)/€0.8 million (5% weight loss) and 30.0 million SEK/€2.6 million (20%) by 2033. CONCLUSIONS Annual treatment costs of ORCs in Sweden will double over 10 years, and weight loss would be associated with significant savings because of the reductions in the incidence of ORCs. Therefore, there is an urgent need to effectively treat obesity to prevent morbidity.
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Affiliation(s)
- Marije Galavazi
- School of Medical Sciences, Faculty of Medicine and HealthÖrebro UniversityÖrebroSweden
- Obesity UnitÖrebro University HospitalÖrebroSweden
| | - Ville Wallenius
- Department of Surgery, Institute of Clinical Sciences, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Department of SurgerySahlgrenska University Hospital ÖstraGothenburgSweden
| | | | | | | | - Johan Jendle
- School of Medical Sciences, Faculty of Medicine and HealthÖrebro UniversityÖrebroSweden
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14
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Wuni R, Curi-Quinto K, Liu L, Espinoza D, Aquino AI, Del Valle-Mendoza J, Aguilar-Luis MA, Murray C, Nunes R, Methven L, Lovegrove JA, Penny M, Favara M, Sánchez A, Vimaleswaran KS. Interaction between genetic risk score and dietary carbohydrate intake on high-density lipoprotein cholesterol levels: Findings from the study of obesity, nutrition, genes and social factors (SONGS). Clin Nutr ESPEN 2025; 66:83-92. [PMID: 39800136 DOI: 10.1016/j.clnesp.2024.12.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2024] [Revised: 12/18/2024] [Accepted: 12/30/2024] [Indexed: 01/15/2025]
Abstract
BACKGROUND & AIMS Cardiometabolic traits are complex interrelated traits that result from a combination of genetic and lifestyle factors. This study aimed to assess the interaction between genetic variants and dietary macronutrient intake on cardiometabolic traits [body mass index, waist circumference, total cholesterol, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol, triacylglycerol, systolic blood pressure, diastolic blood pressure, fasting serum glucose, fasting serum insulin, and glycated haemoglobin]. METHODS This cross-sectional study consisted of 468 urban young adults aged 20 ± 1 years, and it was conducted as part of the Study of Obesity, Nutrition, Genes and Social factors (SONGS) project, a sub-study of the Young Lives study. Thirty-nine single nucleotide polymorphisms (SNPs) known to be associated with cardiometabolic traits at a genome-wide significance level (P < 5 × 10-8) were used to construct a genetic risk score (GRS). RESULTS There were no significant associations between the GRS and any of the cardiometabolic traits. However, a significant interaction was observed between the GRS and carbohydrate intake on HDL-C concentration (Pinteraction = 0.0007). In the first tertile of carbohydrate intake (≤327 g/day), participants with a high GRS (>37 risk alleles) had a higher concentration of HDL-C than those with a low GRS (≤37 risk alleles) [Beta = 0.06 mmol/L, 95 % confidence interval (CI), 0.01-0.10; P = 0.018]. In the third tertile of carbohydrate intake (>452 g/day), participants with a high GRS had a lower concentration of HDL-C than those with a low GRS (Beta = -0.04 mmol/L, 95 % CI -0.01 to -0.09; P = 0.027). A significant interaction was also observed between the GRS and glycaemic load (GL) on the concentration of HDL-C (Pinteraction = 0.002). For participants with a high GRS, there were lower concentrations of HDL-C across tertiles of GL (Ptrend = 0.017). There was no significant interaction between the GRS and glycaemic index on the concentration of HDL-C, and none of the other GRS∗macronutrient interactions were significant. CONCLUSIONS Our results suggest that young adults who consume a higher carbohydrate diet and have a higher GRS have a lower HDL-C concentration, which in turn is linked to cardiovascular diseases, and indicate that personalised nutrition strategies targeting a reduction in carbohydrate intake might be beneficial for these individuals.
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Affiliation(s)
- Ramatu Wuni
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences and Institute for Cardiovascular and Metabolic Research (ICMR), University of Reading, Reading, RG6 6DZ, UK.
| | - Katherine Curi-Quinto
- Instituto de Investigación Nutricional (IIN), Av. La Molina 1885, Lima, 15024, Peru.
| | - Litai Liu
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences and Institute for Cardiovascular and Metabolic Research (ICMR), University of Reading, Reading, RG6 6DZ, UK.
| | - Dianela Espinoza
- Group for the Analysis of Development (GRADE), Lima, 15063, Peru.
| | - Anthony I Aquino
- Instituto de Investigación Nutricional (IIN), Av. La Molina 1885, Lima, 15024, Peru
| | - Juana Del Valle-Mendoza
- Instituto de Investigación Nutricional (IIN), Av. La Molina 1885, Lima, 15024, Peru; Biomedicine Laboratory, Research Center of the Faculty of Health Sciences, Universidad Peruana de Ciencias Aplicadas, Lima, 15087, Peru.
| | - Miguel Angel Aguilar-Luis
- Instituto de Investigación Nutricional (IIN), Av. La Molina 1885, Lima, 15024, Peru; Biomedicine Laboratory, Research Center of the Faculty of Health Sciences, Universidad Peruana de Ciencias Aplicadas, Lima, 15087, Peru.
| | - Claudia Murray
- Department of Real Estate and Planning, University of Reading, Reading, RG6 6UD, UK.
| | - Richard Nunes
- Department of Real Estate and Planning, University of Reading, Reading, RG6 6UD, UK.
| | - Lisa Methven
- Department of Food and Nutritional Sciences and Institute for Cardiovascular and Metabolic Research (ICMR), University of Reading, Reading, RG6 6DZ, UK.
| | - Julie A Lovegrove
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences and Institute for Cardiovascular and Metabolic Research (ICMR), University of Reading, Reading, RG6 6DZ, UK; Institute for Food, Nutrition, and Health (IFNH), University of Reading, Reading, RG6 6AP, UK.
| | - Mary Penny
- Instituto de Investigación Nutricional (IIN), Av. La Molina 1885, Lima, 15024, Peru.
| | - Marta Favara
- Oxford Department of International Development, University of Oxford, Oxford, OX1 3TB, UK.
| | - Alan Sánchez
- Group for the Analysis of Development (GRADE), Lima, 15063, Peru; Oxford Department of International Development, University of Oxford, Oxford, OX1 3TB, UK.
| | - Karani Santhanakrishnan Vimaleswaran
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences and Institute for Cardiovascular and Metabolic Research (ICMR), University of Reading, Reading, RG6 6DZ, UK; Institute for Food, Nutrition, and Health (IFNH), University of Reading, Reading, RG6 6AP, UK.
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15
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Li J, Zhang M, Zhang C, Zhang Y, Chen W, Qu H, Liu J, Wang L. Rapid indirect detection of N-lactoyl-phenylalanine using dual DNA biosensors based on solution-gated graphene field-effect transistor. Biosens Bioelectron 2025; 273:117149. [PMID: 39818180 DOI: 10.1016/j.bios.2025.117149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2024] [Revised: 01/06/2025] [Accepted: 01/09/2025] [Indexed: 01/18/2025]
Abstract
As obesity rates continue to rise, there is an increasing focus on reducing obesity through exercise. People are becoming more aware of the importance of weight loss through physical activity. However, the effectiveness of exercise can vary significantly among individuals, making it challenging to evaluate its impact. Therefore, establishing a reliable method for assessing exercise effectiveness is crucial for enhancing exercise quality and reducing obesity risk. It is noteworthy that the relationship between N-lactoyl-phenylalanine (N-Lac-Phe) and energy metabolism has garnered considerable attention. In this study, we developed a N-Lac-Phe biosensor by detecting L-lactic acid (L-Lac) and L-phenylalanine (L-Phe) based on Solution-Gated Graphene Field-Effect Transistors (SGGT). Our findings showed that the L-Lac and L-Phe biosensors exhibited excellent linearity within concentration ranges of 300 pM to 300 nM for L-Lac and 3 nM-1000 nM for L-Phe, with R2 values of 0.9934 and 0.9897, respectively. The detection accuracies for these two types of SGGT biosensors were 91.63 ± 6.97% and 99.39 ± 8.53%, respectively. Using the established N-Lac-Phe, L-Lac, and L-Phe relationship model (NLL model), we could calculate the concentration of N-Lac-Phe in the RAW264.7 culture medium based on the concentrations of L-Lac and L-Phe. The biosensors demonstrated excellent accuracy and selectivity, indicating their potential for rapidly evaluating the effectiveness of exercise.
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Affiliation(s)
- Jiacheng Li
- School of Food and Biological Engineering, Hefei University of Technology, Hefei, Anhui, 230009, China
| | - Ming Zhang
- School of Food and Biological Engineering, Hefei University of Technology, Hefei, Anhui, 230009, China
| | - Cailing Zhang
- School of Food and Biological Engineering, Hefei University of Technology, Hefei, Anhui, 230009, China
| | - Yin Zhang
- School of Food and Biological Engineering, Hefei University of Technology, Hefei, Anhui, 230009, China
| | - Wenbin Chen
- School of Food and Biological Engineering, Hefei University of Technology, Hefei, Anhui, 230009, China
| | - Hao Qu
- School of Food and Biological Engineering, Hefei University of Technology, Hefei, Anhui, 230009, China
| | - Jian Liu
- School of Food and Biological Engineering, Hefei University of Technology, Hefei, Anhui, 230009, China.
| | - Lu Wang
- School of Food and Biological Engineering, Hefei University of Technology, Hefei, Anhui, 230009, China; Engineering Research Center of Bio-process, Ministry of Education, Hefei University of Technology, Hefei, 230009, China.
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16
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Skoracka K, Hryhorowicz S, Schulz P, Zawada A, Ratajczak-Pawłowska AE, Rychter AM, Słomski R, Dobrowolska A, Krela-Kaźmierczak I. The role of leptin and ghrelin in the regulation of appetite in obesity. Peptides 2025; 186:171367. [PMID: 39983918 DOI: 10.1016/j.peptides.2025.171367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2024] [Revised: 02/12/2025] [Accepted: 02/13/2025] [Indexed: 02/23/2025]
Abstract
Leptin and ghrelin are two key hormones that play opposing roles in the regulation of appetite and energy balance. Ghrelin stimulates appetite and food intake following binding to receptors and the subsequent activation of orexigenic neurons in the arcuate nucleus. Leptin, conversely, has been demonstrated to suppress appetite and reduce food intake. This occurs through the inhibition of ghrelin-activated neurons, while simultaneously activating those that promote satiety and increase energy expenditure. A lack of biological response despite elevated leptin levels, which is known as leptin resistance, is observed in individuals with excess body weight and represents a significant challenge. As the dysregulation of ghrelin and leptin signalling has been linked to the development of obesity and other metabolic disorders, an in-depth understanding of the genetic determinants affecting these two hormones may facilitate a more comprehensive grasp of the intricate interactions that underpin the pathogenesis of obesity.
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Affiliation(s)
- Kinga Skoracka
- Department of Gastroenterology, Dietetics and Internal Diseases, Poznan University of Medical Sciences, Przybyszewski 49, Poznan 60-355, Poland; Doctoral School, Poznan University of Medical Sciences, Bukowska 70, Poznan 60-812, Poland.
| | - Szymon Hryhorowicz
- Institute of Human Genetics, Polish Academy of Sciences, Strzeszynska 32, Poznan 60-479, Poland
| | - Piotr Schulz
- Department of Gastroenterology, Dietetics and Internal Diseases, Poznan University of Medical Sciences, Przybyszewski 49, Poznan 60-355, Poland
| | - Agnieszka Zawada
- Department of Gastroenterology, Dietetics and Internal Diseases, Poznan University of Medical Sciences, Przybyszewski 49, Poznan 60-355, Poland
| | - Alicja Ewa Ratajczak-Pawłowska
- Department of Gastroenterology, Dietetics and Internal Diseases, Poznan University of Medical Sciences, Przybyszewski 49, Poznan 60-355, Poland; Laboratory of Nutrigenetics, Department of Gastroenterology, Dietetics and Internal Diseases, Poznan University of Medical Sciences, Poznan 60-355, Poland
| | - Anna Maria Rychter
- Department of Gastroenterology, Dietetics and Internal Diseases, Poznan University of Medical Sciences, Przybyszewski 49, Poznan 60-355, Poland; Laboratory of Nutrigenetics, Department of Gastroenterology, Dietetics and Internal Diseases, Poznan University of Medical Sciences, Poznan 60-355, Poland
| | - Ryszard Słomski
- Institute of Human Genetics, Polish Academy of Sciences, Strzeszynska 32, Poznan 60-479, Poland
| | - Agnieszka Dobrowolska
- Department of Gastroenterology, Dietetics and Internal Diseases, Poznan University of Medical Sciences, Przybyszewski 49, Poznan 60-355, Poland
| | - Iwona Krela-Kaźmierczak
- Department of Gastroenterology, Dietetics and Internal Diseases, Poznan University of Medical Sciences, Przybyszewski 49, Poznan 60-355, Poland; Laboratory of Nutrigenetics, Department of Gastroenterology, Dietetics and Internal Diseases, Poznan University of Medical Sciences, Poznan 60-355, Poland.
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Zhou H, Hu Y, Li G, Zhang W, Ji W, Feng Y, La Z, Li M, Yan Z, Manza P, Tomasi D, Volkow ND, Wang GJ, Zhang Y. Obesity is associated with progressive brain structural changes. Obesity (Silver Spring) 2025; 33:709-719. [PMID: 40025869 DOI: 10.1002/oby.24251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2024] [Revised: 11/29/2024] [Accepted: 12/30/2024] [Indexed: 03/04/2025]
Abstract
OBJECTIVE The aim of this study was to investigate the relationship between obesity (OB) progression and brain structural changes. METHODS T1-weighted magnetic resonance images were acquired from 258 participants with overweight (OW) or OB and 74 participants with normal weight. Participants with OW or OB were divided into four groups according to BMI grades. Two-sample t tests compared disparities between the four subgroups and the participants with normal weight. We used causal structural covariance networks to examine the progressive impact of OB on brain structure. RESULTS With increasing BMI values, reductions in gray matter volume originated in the left caudate nucleus, medial orbitofrontal cortex, and left insula and expanded to the right hippocampus and left lateral orbitofrontal cortex and then to the right parahippocampal gyrus, left precuneus, and left dorsolateral prefrontal cortex (p < 0.05, false discovery rate corrected). The left caudate nucleus and medial orbitofrontal cortex are the primary hubs of the directional network, exhibiting positive causality to the right hippocampus and left dorsolateral prefrontal cortex. Moreover, the right hippocampus is identified as an important transition hub. CONCLUSIONS These findings suggest that changes in gray matter volume in individuals with OB may originate from reward/motivation processing regions, subsequently progressing to inhibitory control/learning memory regions, providing a new reference direction for clinical intervention and treatment of OB.
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Affiliation(s)
- Huiling Zhou
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, China
| | - Yang Hu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, China
| | - Guanya Li
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, China
| | - Wenchao Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, China
| | - Weibin Ji
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, China
| | - Yonghuan Feng
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, China
| | - Zaichen La
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, China
| | - Mengshan Li
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, China
| | - Zhao Yan
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, China
| | - Peter Manza
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland, USA
| | - Dardo Tomasi
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland, USA
| | - Nora D Volkow
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland, USA
| | - Gene-Jack Wang
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland, USA
| | - Yi Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, China
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Lin C, Chen J, Meyerowitz‐Katz G, Huang Y, Su P. Unexpected cardiovascular risks of glucagon-like peptide-1 receptor agonist and aspirin co-administration in individuals with obesity, with and without type 2 diabetes: A propensity score matched cohort study. Diabetes Obes Metab 2025; 27:1980-1991. [PMID: 39806559 PMCID: PMC11885080 DOI: 10.1111/dom.16191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2024] [Revised: 12/16/2024] [Accepted: 12/30/2024] [Indexed: 01/16/2025]
Abstract
AIMS To examine the cardiovascular safety of combining glucagon-like peptide-1 receptor agonists (GLP-1 RAs) with aspirin in individuals with obesity, both with and without type 2 diabetes (T2D). MATERIALS AND METHODS This propensity score matched cohort study analysed data from 2 946 579 individuals with obesity, with and without T2D, using the TriNetX US and Global dataset. Participants were categorized into four matched groups: those receiving GLP-1 RA plus aspirin versus those receiving GLP-1 RA alone, for both diabetic and non-diabetic individuals. Cardiovascular outcomes and adverse events were evaluated over 5 years using Cox proportional hazards models. RESULTS Individuals with obesity treated with GLP-1 RAs plus aspirin showed significantly higher risks of various cardiovascular events compared to those on GLP-1 RAs alone. In non-diabetic obese individuals, the combination therapy increased risks of hypertensive heart diseases (HR 1.40, 95% CI 1.15-1.60), ischaemic heart disease (HR 2.39, 95% CI 1.92-2.97) and heart failure (HR 1.97, 95% CI 1.54-2.53). Similar patterns were observed in individuals with T2D. Atrial fibrillation and cardiac arrhythmias showed increasing hazard ratios over time. The combination therapy also led to more frequent adverse events, including gastrointestinal bleeding. CONCLUSIONS The combination of GLP-1 RAs with aspirin in individuals with obesity, both with and without T2D, was associated with increased cardiovascular risks compared to GLP-1 RA monotherapy. These findings suggest that there may be risks associated with the combined use of these treatments and highlight the need for further research into this possible complication with regard to treatment.
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Affiliation(s)
- Chia‐Ming Lin
- Department of PediatricsChung Shan Medical University HospitalTaichungTaiwan
- School of MedicineChung Shan Medical UniversityTaichungTaiwan
| | - Jo‐Ching Chen
- Department of PediatricsChung Shan Medical University HospitalTaichungTaiwan
- School of MedicineChung Shan Medical UniversityTaichungTaiwan
| | | | - Yu‐Nan Huang
- Department of PediatricsChung Shan Medical University HospitalTaichungTaiwan
- School of MedicineChung Shan Medical UniversityTaichungTaiwan
| | - Pen‐Hua Su
- Department of PediatricsChung Shan Medical University HospitalTaichungTaiwan
- School of MedicineChung Shan Medical UniversityTaichungTaiwan
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19
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Wen Z, Sun W, Wang H, Chang R, Wang J, Song C, Zhang S, Ni Q, An X. Comparison of the effectiveness and safety of GLP-1 receptor agonists for type 2 diabetes mellitus patients with overweight/obesity: A systematic review and network meta-analysis. Diabetes Res Clin Pract 2025; 222:111999. [PMID: 39828025 DOI: 10.1016/j.diabres.2025.111999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2024] [Revised: 01/06/2025] [Accepted: 01/07/2025] [Indexed: 01/22/2025]
Abstract
OBJECTIVE To evaluate the effectiveness and safety of different Glucagon-like peptide-1 receptor agonists (GLP-1RAs) in treating type 2 diabetes mellitus (T2DM) with overweight/obesity using a systematic review and network meta-analysis. METHODS We searched PubMed, Embase, Cochrane Library, and Web of Science up to December 20, 2024, for randomized controlled trials (RCTs) involving T2DM patients with overweight/obesity treated with GLP-1RAs, with the control group receiving either a placebo or another GLP-1RA. We conducted a network meta-analysis assessed evidence using CINeMA. RESULTS A total of 4548 articles were retrieved, and 41 RCTs were included, comprising 15,126 patients and 13 different GLP-1RAs. Tirzepatide showed superior effects in lowering blood glucose (Compared with placebo, increased glycated hemoglobin: -1.64 (-1.94, -1.35), increased fasting blood glucose: -2.10 (-2.95, -1.25)) and weight loss (Compared with placebo, increased weight: -9.89 (-11.29, -8.49), rincreased BMI: -3.85 (-4.71, -2.99)). However, clinical efficacy of GLP-1RAs in lipid levels, blood pressure, and pancreatic function was not widely observed. Adverse reactions were significant with GLP-1RAs, but overall acceptable. CONCLUSION GLP-1RAs demonstrate efficacy and safety in T2DM patients with overweight/obesity, with certain advantages over other drugs. However, due to limitations in the number and quality of included studies, conclusions should be interpreted with caution.
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Affiliation(s)
- Zhige Wen
- Guang'anmen Hospital of China Academy of Chinese Medical Sciences, China
| | - Wenjie Sun
- Guang'anmen Hospital of China Academy of Chinese Medical Sciences, China
| | - Haoshuo Wang
- Guang'anmen Hospital of China Academy of Chinese Medical Sciences, China
| | - Ruiting Chang
- Guang'anmen Hospital of China Academy of Chinese Medical Sciences, China
| | - Jialing Wang
- Guang'anmen Hospital of China Academy of Chinese Medical Sciences, China
| | - Changheng Song
- Guang'anmen Hospital of China Academy of Chinese Medical Sciences, China
| | - Shan Zhang
- Guang'anmen Hospital of China Academy of Chinese Medical Sciences, China.
| | - Qing Ni
- Guang'anmen Hospital of China Academy of Chinese Medical Sciences, China.
| | - Xuedong An
- Guang'anmen Hospital of China Academy of Chinese Medical Sciences, China.
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Lübker C, Bhavsar J, Duque do Vale R, Emerson SS, Nørtoft E, Plutzky J, Roberts G, Tarp JM, Lincoff AM. The Composite Number Needed to Treat for Semaglutide in Populations with Overweight or Obesity and Established Cardiovascular Disease Without Diabetes. Adv Ther 2025:10.1007/s12325-025-03176-w. [PMID: 40156748 DOI: 10.1007/s12325-025-03176-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2025] [Accepted: 03/10/2025] [Indexed: 04/01/2025]
Abstract
INTRODUCTION Number needed to treat (NNT), an outcome measure derived from the estimated risk results of clinical trials, is widely used to demonstrate value to stakeholders by identifying how many patients require treatment to avoid one event of interest. However, NNTs calculated for primary trial endpoints may underestimate a treatment's value by not considering other outcomes. In this secondary analysis of data from the SELECT cardiovascular (CV) outcomes trial, we aimed to determine the NNT for semaglutide for major adverse cardiovascular events (MACE), in addition to NNTs when other clinically and payer-relevant outcomes are included. METHODS This study is a secondary analysis of data from the randomized, double-blind SELECT trial (ClinicalTrials.gov NCT03574597) of once-weekly subcutaneous administration of semaglutide compared with placebo in 17,604 patients with overweight or obesity and with established cardiovascular disease (CVD) (39.8 months mean follow-up). The outcomes were NNT3P-MACE (based upon the trial's composite primary endpoint of death from cardiovascular causes, non-fatal myocardial infarction, non-fatal stroke), NNTEXTENDED (inclusive of NNT3P-MACE, hospitalization for any cause, coronary revascularization, and non-CV death), and NNTCKM (inclusive of NNTEXTENDED, glycated hemoglobin level [HbA1c] ≥ 6.5%, and a 5-point nephropathy composite). RESULTS The relative risk reductions observed for the events comprising the NNTs were 20% (NNT3P-MACE), 20% (NNTEXTENDED), and 41% (NNTCKM). At 1 and 4 years post initiation of semaglutide, NNT3P-MACE was 125 and 58, NNTEXTENDED was 49 and 25, and NNTCKM was 20 and 11, respectively. CONCLUSION When clinically and payer-relevant outcomes from the SELECT trial are included in calculations of NNT, semaglutide was associated with greater risk reductions and lower estimates of NNT than for the primary endpoint alone. Our findings suggest that including the broader effects of semaglutide beyond the primary trial endpoint recognizes additional value to stakeholders.
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Affiliation(s)
| | | | | | - Scott S Emerson
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | | | - Jorge Plutzky
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, USA
| | | | | | - A Michael Lincoff
- Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, USA
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21
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Zhou R, Zhang Y, Wang J, Huang H, Liao T, Lai W, Ju Y, Ouyang M. Establishing the relationships between obesity and genetically predicted serum micronutrient levels: a multivariable Mendelian randomization analysis. Eat Weight Disord 2025; 30:33. [PMID: 40158042 DOI: 10.1007/s40519-025-01730-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2024] [Accepted: 02/10/2025] [Indexed: 04/01/2025] Open
Abstract
BACKGROUND Previous observational studies have indicated that circulating micronutrients may influence obesity risk. This study aimed to explore the causal relationship between micronutrient levels and obesity through multivariable Mendelian randomization (MR) analysis. METHODS Single nucleotide polymorphisms (SNPs) significantly associated with 15 micronutrients (selenium, zinc, copper, calcium, beta-carotene, folate, iron, magnesium, potassium, and vitamins A, B6, B12, C, D, and E) from published genome-wide association studies (GWAS) were used as instrumental variables (IVs). Three obesity-related datasets were obtained from the GWAS. Inverse variance weighted (IVW) is the main method used for MR analysis. Leave-one-out analysis, MR-Pleiotropy Residual Sum and Outlier method (MR-PRESSO), weighted median, and MR-Egger method were used to assess pleiotropy and heterogeneity. RESULTS Genetically predicted levels of circulating selenium and calcium are causally related to the risk of obesity (calcium odds ratio [OR]: 1.478, 95% confidence interval [CI] 1.128-1.935, p = 0.005; selenium OR: 1.478, 95% CI 1.128-1.935, p = 0.005). Multivariate MR analysis suggested a causal relationship between circulating selenium and calcium levels and obesity risk (calcium OR: 1.625, 95% CI 1.260-2.097; selenium OR: 1.080, 95% CI 1.003-1.163, p = 0.041). The p-value obtained in the Cochrane Q test, MR-Egger intercept test, and MR-PRESSO were > 0.05, suggesting no significant evidence of pleiotropy or heterogeneity. CONCLUSION Our study revealed, for the first time, a positive correlation between elevated circulating calcium and selenium levels and an increased obesity risk. These findings provide valuable insights into obesity's underlying mechanisms. Nevertheless, further large-scale clinical studies are required to confirm our results. LEVEL OF EVIDENCE Level III, Mendelian randomization.
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Affiliation(s)
- Rui Zhou
- Surgical Department of Gastrointestinal Surgery, Shunde Hospital of Southern Medical University, No. 1 Jiazi Road, Shunde District, Foshan, 528399, Guangdong, China
| | - Yanxiang Zhang
- Surgical Department of Gastrointestinal Surgery, Shunde Hospital of Southern Medical University, No. 1 Jiazi Road, Shunde District, Foshan, 528399, Guangdong, China
| | - Jiazhi Wang
- Surgical Department of Gastrointestinal Surgery, Shunde Hospital of Southern Medical University, No. 1 Jiazi Road, Shunde District, Foshan, 528399, Guangdong, China
| | - Huacong Huang
- Surgical Department of Gastrointestinal Surgery, Shunde Hospital of Southern Medical University, No. 1 Jiazi Road, Shunde District, Foshan, 528399, Guangdong, China
| | - Tianyou Liao
- Surgical Department of Gastrointestinal Surgery, Shunde Hospital of Southern Medical University, No. 1 Jiazi Road, Shunde District, Foshan, 528399, Guangdong, China
| | - Weisheng Lai
- Surgical Department of Gastrointestinal Surgery, Shunde Hospital of Southern Medical University, No. 1 Jiazi Road, Shunde District, Foshan, 528399, Guangdong, China
| | - Yongle Ju
- Surgical Department of Gastrointestinal Surgery, Shunde Hospital of Southern Medical University, No. 1 Jiazi Road, Shunde District, Foshan, 528399, Guangdong, China.
| | - Manzhao Ouyang
- Surgical Department of Gastrointestinal Surgery, Shunde Hospital of Southern Medical University, No. 1 Jiazi Road, Shunde District, Foshan, 528399, Guangdong, China.
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Xu S, Liu Z, Tian T, Zhao W, Wang Z, Liu M, Xu M, Zhang F, Zhang Z, Chen M, Yin Y, Su M, Fang W, Pan W, Liu S, Li MD, Little PJ, Kamato D, Zhang S, Wang D, Offermanns S, Speakman JR, Weng J. The clinical antiprotozoal drug halofuginone promotes weight loss by elevating GDF15 and FGF21. SCIENCE ADVANCES 2025; 11:eadt3142. [PMID: 40138418 PMCID: PMC11939056 DOI: 10.1126/sciadv.adt3142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/22/2024] [Accepted: 02/20/2025] [Indexed: 03/29/2025]
Abstract
Obesity is a debilitating global pandemic with a huge cost on health care due to it being a major underlying risk factor for several diseases. Therefore, there is an unmet medical need for pharmacological interventions to curb obesity. Here, we report that halofuginone, a Food and Drug Administration-approved anti-scleroderma and antiprotozoal drug, is a promising anti-obesity agent in preclinical mouse and pig models. Halofuginone suppressed food intake, increased energy expenditure, and resulted in weight loss in diet-induced obese mice while also alleviating insulin resistance and hepatic steatosis. Using molecular and pharmacological tools with transcriptomics, we identified that halofuginone increases fibroblast growth factor 21 (FGF21) and growth differentiation factor 15 (GDF15) levels via activating integrated stress response. Using Gdf15 and Fgf21 knockout mice, we show that both hormones are necessary to elicit anti-obesity changes. Together, our study reports the beneficial metabolic effects of halofuginone and underscores its utility in treating obesity and its associated metabolic complications, which merits clinical assessment.
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Affiliation(s)
- Suowen Xu
- Department of Endocrinology, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China
- Anhui Provincial Key Laboratory of Metabolic Health and Panvascular Diseases, Hefei 230001, China
- Department of Pharmacology, Max Planck Institute for Heart and Lung Research, Bad Nauheim 61231, Germany
- Institute of Endocrine and Metabolic Diseases, University of Science and Technology of China, Hefei 230001, China
| | - Zhenghong Liu
- Department of Endocrinology, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China
| | - Tian Tian
- Department of Endocrinology, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China
| | - Wenqi Zhao
- Department of Endocrinology, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China
| | - Zhihua Wang
- Department of Endocrinology, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China
| | - Monan Liu
- Department of Endocrinology, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China
| | - Mengyun Xu
- Department of Endocrinology, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China
| | - Fanshun Zhang
- Department of Endocrinology, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China
| | - Zhidan Zhang
- Department of Endocrinology, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China
| | - Meijie Chen
- Department of Endocrinology, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China
| | - Yanjun Yin
- Department of Endocrinology, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China
| | - Meiming Su
- Department of Endocrinology, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China
| | - Wenxiang Fang
- The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China
| | - Wenhao Pan
- Laboratory of Precision and Intelligent Chemistry, Department of Polymer Science and Engineering, University of Science and Technology of China, Hefei 230026, China
| | - Shiyong Liu
- Laboratory of Precision and Intelligent Chemistry, Department of Polymer Science and Engineering, University of Science and Technology of China, Hefei 230026, China
| | - Min-dian Li
- Department of Cardiovascular Medicine, Center for Circadian Metabolism and Cardiovascular Disease, MOE Key Laboratory of Geriatric Cardiovascular and Cerebrovascular Disease, Southwest Hospital, Army Medical University, Chongqing, China
| | - Peter J. Little
- Department of Pharmacy, Guangzhou Xinhua University, No. 721, Guangshan Road 1, Guangzhou 510520, China
| | - Danielle Kamato
- Institute for Biomedicine and Glycomics, Griffith University, Nathan, Queensland 4111, Australia
| | - Songyang Zhang
- Toronto General Hospital Research Institute, University Health Network, Toronto, Ontario, Canada
| | - Dongdong Wang
- Centre for Metabolism, Obesity, and Diabetes Research, McMaster University, Hamilton, Ontario, Canada
| | - Stefan Offermanns
- Department of Pharmacology, Max Planck Institute for Heart and Lung Research, Bad Nauheim 61231, Germany
| | - John R. Speakman
- Shenzhen Key Laboratory of Metabolic Health, Center for Energy Metabolism and Reproduction, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- School of Biological Sciences, University of Aberdeen, Aberdeen AB24 3FX, UK
| | - Jianping Weng
- Department of Endocrinology, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China
- Anhui Provincial Key Laboratory of Metabolic Health and Panvascular Diseases, Hefei 230001, China
- Institute of Endocrine and Metabolic Diseases, University of Science and Technology of China, Hefei 230001, China
- Department of Endocrinology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
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Kwok MK, Lee SY, Leung GM, Schooling CM. Body mass index trajectories and all-cause mortality in older Chinese adults: Hong Kong's Elderly Health Service Cohort. J Epidemiol Community Health 2025:jech-2025-223659. [PMID: 40139756 DOI: 10.1136/jech-2025-223659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2025] [Accepted: 03/09/2025] [Indexed: 03/29/2025]
Abstract
BACKGROUND Weight loss at older ages appears to be associated with higher mortality in Western and some East Asian countries, despite differences in the prevalence of obesity; whether it is relevant to China is unknown. We examined the association of body mass index (BMI) trajectories with all-cause mortality in older Chinese adults by sex and baseline age (65-69 years, 70+ years). METHODS 54 160 participants aged 65 or above from Hong Kong's Elderly Health Service Cohort with at least five BMI measurements were included. We identified distinct BMI trajectories using group-based trajectory modelling. We assessed the associations of BMI trajectories with mortality risk using a Cox model stratified by sex and age. RESULTS Compared with 'normal weight, stable', the 'low-normal weight, decreasing' had higher mortality risk in both sexes and age groups (eg, HR 1.43, 95% CI 1.24 to 1.66 in men aged 65-69 years). The 'overweight, stable' and 'obese, stable' had lower mortality risk, especially in men at older ages. However, the proportion in the 'low-normal weight, decreasing' was greater at 70+ years than at 65-69 years, while the proportion in the 'overweight, stable' and 'obese, stable' was lower in the older group. CONCLUSIONS Decreasing BMI is a likely symptom of ill health in older adults. Inconsistency between the risks and the proportion in each BMI trajectory group by age suggests the observed associations could be driven by changes in weight and preferential recruitment of survivors. Maintaining a healthy weight remains relevant at older ages.
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Affiliation(s)
- Man Ki Kwok
- School of Nursing and Health Sciences, Hong Kong Metropolitan University, Hong Kong, Hong Kong
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Siu Yin Lee
- Hong Kong Department of Health, Hong Kong, Hong Kong
| | - Gabriel M Leung
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - C Mary Schooling
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
- City University of New York Graduate School and University Center, New York, New York, USA
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24
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Mare KU, Sabo KG, Wengoro BF, Lahole BK. Level of overweight and obesity surpassed underweight among women in 40 low and middle-income countries: Findings from a multilevel multinomial analysis of population survey data. PLoS One 2025; 20:e0320095. [PMID: 40138373 PMCID: PMC11940715 DOI: 10.1371/journal.pone.0320095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2024] [Accepted: 02/12/2025] [Indexed: 03/29/2025] Open
Abstract
BACKGROUND Despite continued global and local initiatives to address nutritional problems, low- and middle-income countries are facing both malnutrition and non-communicable diseases, with about 80% of non-communicable disease-related deaths. There is a dearth of recent evidence on the extent and determinants of underweight, overweight, and obesity in this region, which is essential for guiding intervention programs. Thus, this study intended to provide insights into the current level of malnutrition among women of reproductive age in low- and middle-income countries. METHODS A secondary analysis of Demographic and Health Survey data from 40 low- and middle-income countries was performed using a weighted sample of 1,044,340 women of reproductive age. Forest plots and line graph were used to present the pooled and regional estimates of underweight and overweight and obesity. A multilevel multinomial logistic regression models were fitted to identify determinants of malnutrition and models were compared based on the deviance and log-likelihood values. In the final model, statistical significance was determined using an adjusted relative risk ratio with the corresponding 95% confidence interval. RESULTS The overall prevalence of obesity and overweight was 26.8% (95% CI: 26.7%-26.9%), with the highest rate in Jordan (67.2%) and lowest in Burundi (9.5%). Additionally, the level of underweight was found to be 15.6% [95% CI: 15.5%-15.7%], ranging from 1.3% in Jordan to 25.4% in Timor-Leste. Women of families with middle and rich wealth indexes, those aged 25-34 and 35-49, contraceptive users, those with primary and higher education, and urban residents were more likely to be overweight or obese. In contrast, the results showed a lower likelihood of undernutrition among women in the households with middle [ARRR (95% CI): 0.83 (0.80-0.86)] and rich wealth indexes [ARRR (95% CI): 0.73 (0.71-0.76)], those with primary [ARRR (95% CI): 0.70 (0.68-0.73)], secondary [ARRR (95% CI): 0.71 (0.69-0.74)], and higher education [ARRR (95% CI): 0.57 (0.53-0.61))], and women with media access [ARRR (95% CI): 0.79 (0.77-0.82)]. CONCLUSION Over a quarter of women of reproductive age in LMICs were overweight or obese, with underweight affecting 15.6%. It was also found that the levels of overweight and obesity were higher than the rate for underweight, with wide variations across the countries. Thus, efforts to improve the modifiable risks can have a positive impact on reducing undernutrition and over-nutrition. Given the considerable variations between countries and survey periods, nutrition programs should also be tailored to the specific needs and cultural contexts of different regions within the study settings. Furthermore, the findings suggest the need for regular monitoring and evaluation of the existing nutritional interventions to assess their effectiveness.
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Affiliation(s)
- Kusse Urmale Mare
- Department of Nursing, College of Medicine and Health Sciences, Samara University, Samara, Ethiopia
| | - Kebede Gemeda Sabo
- Department of Nursing, College of Medicine and Health Sciences, Samara University, Samara, Ethiopia
| | - Beriso Furo Wengoro
- Department of Biomedical Sciences, College of Medicine and Health Sciences, Samara University, Samara, Ethiopia
| | - Begetayinoral Kussia Lahole
- Department of Midwifery, College of Medicine and Health Sciences, Arba Minch University, Arba Minch, Ethiopia
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25
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Jonsdottir AB, Sveinbjornsson G, Thorolfsdottir RB, Tamlander M, Tragante V, Olafsdottir T, Rognvaldsson S, Sigurdsson A, Eggertsson HP, Aegisdottir HM, Arnar DO, Banasik K, Beyter D, Bjarnason RG, Bjornsdottir G, Brunak S, Topholm Bruun M, Dowsett J, Einarsson E, Einarsson G, Erikstrup C, Fridriksdottir R, Ghouse J, Gretarsdottir S, Halldorsson GH, Hansen T, Helgadottir A, Holm PC, Ivarsdottir EV, Iversen KK, Jensen BA, Jonsdottir I, Knight S, Knowlton KU, Kristmundsdottir S, Larusdottir AE, Magnusson OT, Masson G, Melsted P, Mikkelsen C, Moore KHS, Oddsson A, Olason PI, Palsson F, Pedersen OB, Schwinn M, Sigurdsson EL, Skaftason A, Stefansdottir L, Stefansson H, Steingrimsdottir T, Sturluson A, Styrkarsdottir U, Sørensen E, Teitsdottir UD, Thorgeirsson TE, Thorisson GA, Thorsteinsdottir U, Ulfarsson MO, Ullum H, Vikingsson A, Walters GB, Nadauld LD, Bundgaard H, Ostrowski SR, Helgason A, Halldorsson BV, Norddahl GL, Ripatti S, Gudbjartsson DF, Thorleifsson G, Steinthorsdottir V, Holm H, Sulem P, Stefansson K. Missense variants in FRS3 affect body mass index in populations of diverse ancestries. Nat Commun 2025; 16:2694. [PMID: 40133257 PMCID: PMC11937519 DOI: 10.1038/s41467-025-57753-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Accepted: 02/27/2025] [Indexed: 03/27/2025] Open
Abstract
Obesity is associated with adverse effects on health and quality of life. Improved understanding of its underlying pathophysiology is essential for developing counteractive measures. To search for sequence variants with large effects on BMI, we perform a multi-ancestry meta-analysis of 13 genome-wide association studies on BMI, including data derived from 1,534,555 individuals of European ancestry, 339,657 of Asian ancestry, and 130,968 of African ancestry. We identify an intergenic 262,760 base pair deletion at the MC4R locus that associates with 4.11 kg/m2 higher BMI per allele, likely through downregulation of MC4R. Moreover, a rare FRS3 missense variant, p.Glu115Lys, only found in individuals from Finland, associates with 1.09 kg/m2 lower BMI per allele. We also detect three other low-frequency FRS3 missense variants that associate with BMI with smaller effects and are enriched in different ancestries. We characterize FRS3 as a BMI-associated gene, encoding an adaptor protein known to act downstream of BDNF and TrkB, which regulate appetite, food intake, and energy expenditure through unknown signaling pathways. The work presented here contributes to the biological foundation of obesity by providing a convincing downstream component of the BDNF-TrkB pathway, which could potentially be targeted for obesity treatment.
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Affiliation(s)
- Andrea B Jonsdottir
- deCODE genetics/Amgen Inc., Reykjavik, Iceland.
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland.
| | | | | | - Max Tamlander
- Institute for Molecular Medicine Finland, FIMM, HiLIFE, University of Helsinki, Helsinki, Finland
| | | | | | | | | | | | - Hildur M Aegisdottir
- deCODE genetics/Amgen Inc., Reykjavik, Iceland
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
| | - David O Arnar
- deCODE genetics/Amgen Inc., Reykjavik, Iceland
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
- Division of Cardiology, Cardiovascular Services, Landspitali - The National University Hospital of Iceland, Reykjavik, Iceland
| | - Karina Banasik
- The Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Ragnar G Bjarnason
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
- Children's Medical Center, Landspitali - The National University Hospital of Iceland, Reykjavik, Iceland
| | | | - Søren Brunak
- The Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Mie Topholm Bruun
- Department of Clinical Immunology, Odense University Hospital, Odense, Denmark
| | - Joseph Dowsett
- Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | | | | | - Christian Erikstrup
- Department of Clinical Immunology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | | | - Jonas Ghouse
- Department of Cardiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | | | - Gisli H Halldorsson
- deCODE genetics/Amgen Inc., Reykjavik, Iceland
- School of Engineering and Natural Sciences, University of Iceland, Reykjavik, Iceland
| | - Torben Hansen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Peter C Holm
- The Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Kasper Karmark Iversen
- Department of Cardiology, Copenhagen University Hospital, Herlev and Gentofte Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Emergency Medicine, Copenhagen University Hospital, Herlev and Gentofte Hospital, Herlev, Denmark
| | | | - Ingileif Jonsdottir
- deCODE genetics/Amgen Inc., Reykjavik, Iceland
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
| | - Stacey Knight
- Intermountain Medical Center, Intermountain Heart Institute, Salt Lake City, UT, USA
| | - Kirk U Knowlton
- Intermountain Medical Center, Intermountain Heart Institute, Salt Lake City, UT, USA
- School of Medicine, University of Utah, Salt Lake City, UT, USA
| | | | - Adalheidur E Larusdottir
- deCODE genetics/Amgen Inc., Reykjavik, Iceland
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
| | | | | | - Pall Melsted
- deCODE genetics/Amgen Inc., Reykjavik, Iceland
- School of Engineering and Natural Sciences, University of Iceland, Reykjavik, Iceland
| | - Christina Mikkelsen
- Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | | | | | | | - Ole Birger Pedersen
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Immunology, Zealand University Hospital, Køge, Denmark
| | - Michael Schwinn
- Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Emil L Sigurdsson
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
- Development Centre for Primary Healthcare in Iceland, Primary Health Care of the Capital Area, Reykjavik, Iceland
| | | | | | | | - Thora Steingrimsdottir
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
- Department of Obstetrics and Gynecology, Landspitali - The National University Hospital of Iceland, Reykjavik, Iceland
| | | | | | - Erik Sørensen
- Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | | | | | | | | | - Magnus O Ulfarsson
- deCODE genetics/Amgen Inc., Reykjavik, Iceland
- Faculty of Electrical and Computer Engineering, University of Iceland, Reykjavik, Iceland
| | | | - Arnor Vikingsson
- Department of Medicine, Landspitali - The National University Hospital of Iceland, Reykjavik, Iceland
| | | | | | - Henning Bundgaard
- Department of Cardiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Sisse Rye Ostrowski
- Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Agnar Helgason
- deCODE genetics/Amgen Inc., Reykjavik, Iceland
- Department of Anthropology, University of Iceland, Reykjavik, Iceland
| | - Bjarni V Halldorsson
- deCODE genetics/Amgen Inc., Reykjavik, Iceland
- School of Technology, Reykjavik University, Reykjavik, Iceland
| | | | - Samuli Ripatti
- Institute for Molecular Medicine Finland, FIMM, HiLIFE, University of Helsinki, Helsinki, Finland
- Department of Public Health, Clinicum, University of Helsinki, Helsinki, Finland
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Daniel F Gudbjartsson
- deCODE genetics/Amgen Inc., Reykjavik, Iceland
- School of Engineering and Natural Sciences, University of Iceland, Reykjavik, Iceland
| | | | | | - Hilma Holm
- deCODE genetics/Amgen Inc., Reykjavik, Iceland
| | | | - Kari Stefansson
- deCODE genetics/Amgen Inc., Reykjavik, Iceland.
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland.
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26
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Mondal S, Basu C, Alkhawaitri M, Almamari I, Albrwaney S, Alhabsi T. Obesity among college students in Oman: implications for health and academic performance. BMC Public Health 2025; 25:1111. [PMID: 40128737 PMCID: PMC11931841 DOI: 10.1186/s12889-025-21946-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2024] [Accepted: 02/13/2025] [Indexed: 03/26/2025] Open
Abstract
This study examines the impact of obesity on the current health and academic performance of college students, with potential long-term implications for their overall well-being. Using survey data from 300 students at a university in the Arab Gulf of Oman, the study finds that over 27% of students are classified as overweight or obese. The analysis reveals a significant negative relationship between obesity and academic performance, with obese students showing a 6.6% decrease in academic grades compared to their peers of healthy weight. The findings suggest that the likelihood of earning lower academic grades is 2.54 times higher among obese students than those with normal weight. Additionally, the study indicates that obese students face an 8.5% higher burden of obesity-related health issues and are 5.77 times more likely to develop such conditions compared to normal-weight students. These results highlight that obesity affects both academic achievement and health, with potential long-term consequences for students' well-being. To address these issues, educational institutions and communities should prioritize promoting healthy lifestyles, including proper nutrition and weight management support.
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Affiliation(s)
- Swadhin Mondal
- Department of Economics and Finance, University of Nizwa, Niwa, Oman.
| | - Chaiti Basu
- Khoula Hospital, Ministry of Health, Muscat, Oman
| | - Maram Alkhawaitri
- Department of Economics and Finance, University of Nizwa, Niwa, Oman
| | - Ibtisam Almamari
- Department of Economics and Finance, University of Nizwa, Niwa, Oman
| | - Safiya Albrwaney
- Department of Economics and Finance, University of Nizwa, Niwa, Oman
| | - Tasnim Alhabsi
- Department of Economics and Finance, University of Nizwa, Niwa, Oman
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27
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Kitamoto T, Kitamoto A. Integrative proteomic and lipidomic analysis of GNB1 and SCARB2 knockdown in human subcutaneous adipocytes. PLoS One 2025; 20:e0319163. [PMID: 40127054 PMCID: PMC11932494 DOI: 10.1371/journal.pone.0319163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2024] [Accepted: 01/28/2025] [Indexed: 03/26/2025] Open
Abstract
Obesity, a global public health concern, is influenced by various factors, including genetic predispositions. Although many obesity-associated genes have been identified through genome-wide association studies (GWAS), the molecular mechanisms linking these genes to adipose tissue function remain largely unexplored. This study integrates proteomic data on adipocyte fat accumulation with GWAS data on obesity to unravel the roles of the identified key candidate genes - G protein subunit beta 1 (GNB1) and scavenger receptor class B member 2 (SCARB2) - involved in fat accumulation. We utilized RNA interference to knock down GNB1 and SCARB2 in human subcutaneous adipocytes, followed by lipidome and proteome analyses using mass spectrometry. Knockdown of these genes resulted in a reduction in lipid droplet accumulation, indicating their role in adipocyte lipid storage. Digital PCR confirmed effective gene knockdown, with GNB1 and SCARB2 mRNA levels significantly reduced. In total, the lipidomic analysis identified 96 lipid species with significant alterations. GNB1 knockdown resulted in a decrease in cholesterol esters and an increase in phosphatidylcholines, phosphatidylinositols, and ceramides. SCARB2 knockdown also led to an increase in phosphatidylcholines, with a trend towards decreased triacylglycerols. Proteomic analysis revealed significant changes in proteins involved in lipid metabolism and adipocyte function, including PLPP1 and CDH13, which were upregulated following GNB1 knockdown, and HSPA8, which was downregulated. Conversely, SCARB2 knockdown resulted in the downregulation of PLPP1 and METTL7A, and the upregulation of PLIN2, HSPA8, NPC2, and SQSTM1. Our findings highlight the significant roles of GNB1 and SCARB2 in lipid metabolism and adipocyte function, providing insights that could inform therapeutic strategies targeting these regulatory genes in obesity.
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Affiliation(s)
- Takuya Kitamoto
- Advanced Research Facilities and Services, Division of Preeminent Research Supports, Institute of Photonics Medicine, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan
| | - Aya Kitamoto
- Advanced Research Facilities and Services, Division of Preeminent Research Supports, Institute of Photonics Medicine, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan
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28
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Chen XX, Lu FY, Wang Y, Zhang L, Li SQ, Lin YN, Yan YR, Ding YJ, Li N, Zhou JP, Sun XW, Li QY. Causal effect of life-course adiposity on the risk of respiratory diseases: a Mendelian randomization study. Nutr Metab (Lond) 2025; 22:25. [PMID: 40119483 PMCID: PMC11929217 DOI: 10.1186/s12986-025-00915-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2024] [Accepted: 03/03/2025] [Indexed: 03/24/2025] Open
Abstract
BACKGROUND There is limited evidence on the causal associations of life-course adiposity with the risk of respiratory diseases. This study aimed to elucidate these associations. METHODS Two-sample Mendelian randomization was conducted using genetic instruments of life-course adiposity (including birth weight, childhood BMI, and adulthood adiposity) to estimate their causal effect on respiratory diseases in participants of European ancestry from the UK Biobank, the FinnGen consortium, and other large consortia. RESULTS Genetically predicted higher birth weight was associated with decreased risk of acute upper respiratory infections and increased risk of pulmonary embolism, sleep apnea, and lung cancer. Genetically predicted high childhood BMI was associated with increased risk of asthma, COPD, pulmonary embolism, and sleep apnea. However, most of these observed associations were no longer significant after adjusting for adult BMI. Genetically predicted higher adult BMI and WHR were associated with 10 and 4 respiratory diseases, respectively. High adult body fat percentage and visceral adiposity were genetically associated with increased risk of 9 and 11 respiratory diseases, respectively. Consistently, genetically predicted higher whole-body fat mass was associated with increased risk of 8 respiratory diseases. CONCLUSIONS This study provides genetic evidence that greater adiposity in childhood and adulthood has a causal effect in increasing the risk of a wide range of respiratory diseases. Furthermore, the effects of childhood obesity on respiratory outcomes may be mediated by adult obesity.
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Affiliation(s)
- Xi Xi Chen
- Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Fang Ying Lu
- Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yi Wang
- Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Liu Zhang
- Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Shi Qi Li
- Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Ying Ni Lin
- Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Ya Ru Yan
- Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yong Jie Ding
- Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Ning Li
- Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Jian Ping Zhou
- Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xian Wen Sun
- Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Qing Yun Li
- Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
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29
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Wu JY, Chan SE, Hsu WH, Kuo CC, Tsai YW, Liu TH, Huang PY, Chuang MH, Yu T, Lai CC. Comparing clinical outcomes of adults with obesity receiving tirzepatide versus bariatric metabolic surgery: A multi-institutional propensity score-matched study. Diabetes Obes Metab 2025. [PMID: 40109063 DOI: 10.1111/dom.16353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2025] [Revised: 03/01/2025] [Accepted: 03/08/2025] [Indexed: 03/22/2025]
Abstract
AIMS This real-world study compared clinical outcomes between tirzepatide treatment and bariatric metabolic surgery (BMS) in adults with obesity. METHODS This retrospective cohort study used the TriNetX network to identify adults with a body mass index (BMI) ≥ 30 kg/m2. Patients initiating tirzepatide treatment were compared with those undergoing BMS. The primary outcome was all-cause mortality, while secondary outcomes included major adverse cardiovascular events (MACEs) and major adverse kidney events (MAKEs). Hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated, and stratified analyses were performed based on age, sex and BMI categories. RESULTS After exclusions and 1:1 propensity score matching (PSM), 84 884 matched pairs were analysed. The incidence of all-cause mortality was 0.19 per 100 person-years in the tirzepatide group compared with 0.57 in the BMS group. Tirzepatide was associated with a significantly lower risk of all-cause mortality compared with BMS (HR, 0.311; 95% CI, 0.257-0.375; p < 0.0001). The mortality benefits were consistent across age groups, genders and BMI categories. Tirzepatide also reduced the risk of MACEs (HR, 0.743; 95% CI, 0.673-0.821; p < 0.0001) and MAKEs (HR, 0.375; 95% CI, 0.336-0.419; p < 0.0001). Stratified analyses demonstrated significant reductions in primary and secondary outcomes across most categories. CONCLUSION Tirzepatide demonstrated superior clinical outcomes compared with BMS in adults with obesity, including significant reductions in all-cause mortality, MACEs and MAKEs. These findings suggest that tirzepatide may serve as an effective non-surgical alternative to BMS, with broad applicability across diverse patient populations.
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Affiliation(s)
- Jheng-Yan Wu
- Department of Nutrition, Chi Mei Medical Center, Tainan, Taiwan
- Department of Public Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Song-En Chan
- Department of Internal Medicine, Chi Mei Medical Center, Tainan, Taiwan
| | - Wan-Hsuan Hsu
- Department of Internal Medicine, Chi Mei Medical Center, Tainan, Taiwan
| | - Chia-Chih Kuo
- Department of Internal Medicine, Chi Mei Medical Center, Tainan, Taiwan
| | - Ya-Wen Tsai
- Division of Preventive Medicine, Chi Mei Medical Center, Tainan, Taiwan
| | - Ting-Hui Liu
- Department of Psychiatry, Chi Mei Medical Center, Tainan, Taiwan
| | - Po-Yu Huang
- Department of Internal Medicine, Chi Mei Medical Center, Tainan, Taiwan
| | - Min-Hsiang Chuang
- Department of Internal Medicine, Chi Mei Medical Center, Tainan, Taiwan
| | - Tsung Yu
- Department of Public Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Chih-Cheng Lai
- Department of Intensive Care Medicine, Chi Mei Medical Center, Tainan, Taiwan
- School of Medicine, College of Medicine, National Sun Yat-sen University, Kaohsiung, Taiwan
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Chao X, Guo L, Hu M, Ye M, Fan Z, Luan K, Chen J, Zhang C, Liu M, Zhou B, Zhang X, Li Z, Luo Q. Abnormal DNA methylation of EBF1 regulates adipogenesis in chicken. BMC Genomics 2025; 26:275. [PMID: 40114082 PMCID: PMC11927125 DOI: 10.1186/s12864-025-11464-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2024] [Accepted: 03/10/2025] [Indexed: 03/22/2025] Open
Abstract
BACKGROUND DNA methylation influences gene expression and is involved in numerous biological processes, including fat production. It is involved in lipid generation in numerous animal species, including poultry. However, the effect of DNA methylation on adipogenesis in chickens remains unclear. RESULTS A total of 12 100-day-old chickens were divided into high and low-fat groups based on their abdominal fat ratios. Subsequently, genome-wide bisulfite sequencing (WGBS) was performed on their abdominal fat, and 1877 differentially methylated region (DMR) genes were identified, among which SLC45A3, EBF1, PLA2G15, and ACAD9 were associated with lipid metabolism. Interestingly, EBF1 showed a lower level of DNA methylation and higher mRNA expression in the low-fat group, as determined by comprehensive RNA-seq analysis. Cellular verification showed that EBF1 expression was upregulated by 5-azacytidine (5-Aza) and downregulated by betaine. EBF1 facilitated the differentiation of immortalized chicken preadipocyte 1 (ICP-1) through the PPAR-γ pathway, thereby affecting chicken adipogenesis. CONCLUSION A combination of WGBS and RNA-seq analyses revealed 48 DMGs in the abdominal fat tissue of chickens. Notably, the DNA methylation status of EBF1 was inversely related to its mRNA expression. Mechanistically, DNA methylation regulates EBF1 expression, which in turn mediates the differentiation of ICP-1 through the PPARγ pathway. This study provides a theoretical framework for investigating the effects of DNA methylation on adipogenesis in chickens.
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Affiliation(s)
- Xiaohuan Chao
- State Key Laboratory of Livestock and Poultry Breeding, South China Agricultural University, Guangzhou, China
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, China
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China
| | - Lijin Guo
- College of Animal Science, South China Agricultural University, Guangzhou, China
- State Key Laboratory of Livestock and Poultry Breeding, South China Agricultural University, Guangzhou, China
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, China
| | - Meiling Hu
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, China
| | - Mao Ye
- College of Animal Science, South China Agricultural University, Guangzhou, China
| | - Zhexia Fan
- College of Animal Science, South China Agricultural University, Guangzhou, China
| | - Kang Luan
- College of Animal Science, South China Agricultural University, Guangzhou, China
| | - Jiahao Chen
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China
| | - Chunlei Zhang
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China
| | - Manqing Liu
- College of Animal Science, South China Agricultural University, Guangzhou, China
- State Key Laboratory of Livestock and Poultry Breeding, South China Agricultural University, Guangzhou, China
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, China
| | - Bo Zhou
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China
| | - Xiquan Zhang
- College of Animal Science, South China Agricultural University, Guangzhou, China
- State Key Laboratory of Livestock and Poultry Breeding, South China Agricultural University, Guangzhou, China
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, China
| | - Zhenhui Li
- College of Animal Science, South China Agricultural University, Guangzhou, China.
- State Key Laboratory of Livestock and Poultry Breeding, South China Agricultural University, Guangzhou, China.
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, China.
| | - Qingbin Luo
- College of Animal Science, South China Agricultural University, Guangzhou, China.
- State Key Laboratory of Livestock and Poultry Breeding, South China Agricultural University, Guangzhou, China.
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, China.
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Zhou N, Bai H, Zhang Z, Yu B, Zhao H, Li J, Zheng G. Global, regional, and national burden of kidney cancer and attributable risk factors in adults aged 65 years and older from 1990 to 2021 and projections to 2040. BMC Cancer 2025; 25:481. [PMID: 40089733 PMCID: PMC11909813 DOI: 10.1186/s12885-025-13902-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2024] [Accepted: 03/10/2025] [Indexed: 03/17/2025] Open
Abstract
BACKGROUND Identifying the past and future burden of kidney cancer (KC) and its temporal trends among older adults (≥ 65 years) at global, regional, and national levels is critical for effective prevention strategies. METHODS The age-standardized incidence, prevalence, mortality, and disability-adjusted life years (DALYs) were calculated using data from the Global Burden of Disease (GBD) study from 1990 to 2021. These indicators were stratified by sex, age, and socio-demographic index (SDI). The correlation between these indicators and SDI was assessed. Temporal trends were quantified using the annual average percentage change (AAPC), and future trends from 2022 to 2040 were predicted using the Bayesian age-period-cohort (BAPC) model. RESULTS The global age-standardized incidence rate (ASIR) of KC among older adults increased from 21.73 per 100,000 people in 1990 to 26.74 per 100,000 people in 2021, with an AAPC of 0.67%. Age-standardized DALYs rate (ASDR) remained stable, while significant increases were observed in age-standardized prevalence (AAPC = 1.24%, 95%CI: 1.14-1.34%) and mortality rate (AAPC = 0.13%, 95%CI: 0.05-0.22%). From 1990 to 2021, males consistently exhibited a higher disease burden than females, additionally, the ASIR of KC increased significantly in all age subgroups. Regions with higher SDI levels also showed a greater disease burden, while Oceania had the lowest burden of KC in 2021. The ASIR increased in almost all countries and territories. Czechia showed the highest ASIR (92.25 per 100,000 people) and ASDR (819.88 per 100,000 people). Smoking and high body mass index (BMI) remained significant risk factors for DALYs and mortality in the older population, and their effects were greatest in high SDI region. Furthermore, the burden of KC is expected to continue to decline through 2040. CONCLUSIONS The global burden of KC among older adults increased from 1990 to 2021, with notable regional and national variations. However, it is projected to continue to decline through 2040. The management of smoking and high BMI remain major challenges for people with KC, necessitating targeted clinical guidelines, particularly focusing on males and the older adults.
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Affiliation(s)
- Nan Zhou
- Department of biochemistry and molecular biology, School of Basic Medical Science, Shanxi Medical University, Taiyuan, 030001, China
| | - Hongjing Bai
- School of Public Health, Shanxi Medical University, Taiyuan, 030001, China
| | - Ziyan Zhang
- Department of Dermatology, The First Hospital of Shanxi Medical University, Taiyuan, 030001, China
| | - Baofeng Yu
- Department of biochemistry and molecular biology, School of Basic Medical Science, Shanxi Medical University, Taiyuan, 030001, China
| | - Hong Zhao
- Department of biochemistry and molecular biology, School of Basic Medical Science, Shanxi Medical University, Taiyuan, 030001, China
| | - Jinbo Li
- School of Public Health, Shanxi Medical University, Taiyuan, 030001, China.
| | - Guoping Zheng
- Department of biochemistry and molecular biology, School of Basic Medical Science, Shanxi Medical University, Taiyuan, 030001, China.
- Center for Transplant and Renal Research, Westmead Institute for Medical Research, University of Sydney, Westmead, 2006, Australia.
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Weisser M, Mapesi H, Vanobberghen F, Okuma J, Eichenberger A, Wilson HI, Paris DH, Kalinjuma AV, Luoga E, Wilson L, Glass TR, Franzeck FC. Body weight changes in people with HIV starting dolutegravir versus efavirenz-based regimens in a large cohort in rural Tanzania. AIDS 2025; 39:362-372. [PMID: 39632712 PMCID: PMC11872259 DOI: 10.1097/qad.0000000000004085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2024] [Revised: 11/19/2024] [Accepted: 11/27/2024] [Indexed: 12/07/2024]
Abstract
OBJECTIVES To analyze weight changes associated with dolutegravir- versus efavirenz-based antiretroviral therapy (ART) in people with HIV (PWH) in rural Tanzania, where undernutrition is prevalent. DESIGN Longitudinal, observational study of the prospective Kilombero and Ulanga Antiretroviral Cohort (KIULARCO). METHODS We included adult, ART-naïve, nonpregnant PWH initiating efavirenz-based ART 12/2016-02/2019 or dolutegravir-based ART 03/2019-12/2022. We used multivariable linear mixed-effects models to assess adjusted weight changes during 18 months after ART start and Cox regression models to assess factors associated with incident obesity, weight gain ≥10% and hypertension. RESULTS Of 1205 PWH at ART start [median age 40 years (interquartile range (IQR) 32-48); 719 (59.7%) females], 166 (13.8%) individuals were underweight and 317 (26.3%) overweight/obese; 621 (51.5%) initiated efavirenz-based and 584 (48.5%) dolutegravir-based ART. After 18 months, estimated weight gain was 5.1 kg [95% confidence interval (CI) 4.7-5.5] in the dolutegravir versus 4.0 kg (95% CI 3.7-4.4) in the efavirenz group. The weight gain difference between treatment groups was high in men (1.7 kg (95% CI 0.8-2.6; P < 0.001)), in those aged 30-49 years (1.5 kg (0.8-2.1); P < 0.001) and those with CD4 + cell count ≥500/ul (2.5 kg (1.4-3.7), P < 0.001)). Cumulative obesity incidence at 18 months was 10.9% (95% CI 8.3-14.0) in the dolutegravir and 5.1% (95% CI 3.6-7.1) in the efavirenz group. Associated factors were dolutegravir and a pre-ART body mass index (BMI) of 25-29 kg/m 2 . Dolutegravir and age, but not weight gain were associated with incident of hypertension. CONCLUSIONS Dolutegravir-based ART was associated with more weight gain, higher obesity and hypertension - especially in those with a higher pre-ART BMI compared to efavirenz-based regimens.
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Affiliation(s)
- Maja Weisser
- Ifakara Health Institute, Ifakara branch, Ifakara, United Republic of Tanzania
- Swiss Tropical and Public Health Institute, Allschwil
- University of Basel
- Division of Infectious Diseases, University Hospital Basel, Basel, Switzerland
| | - Herry Mapesi
- Ifakara Health Institute, Ifakara branch, Ifakara, United Republic of Tanzania
- Swiss Tropical and Public Health Institute, Allschwil
- University of Basel
| | - Fiona Vanobberghen
- Swiss Tropical and Public Health Institute, Allschwil
- University of Basel
| | - James Okuma
- Swiss Tropical and Public Health Institute, Allschwil
- University of Basel
| | - Anna Eichenberger
- Swiss Tropical and Public Health Institute, Allschwil
- University of Basel
- Department of Infectious Diseases, Bern University Hospital, Bern, Switzerland
| | - Herieth Ismael Wilson
- Ifakara Health Institute, Ifakara branch, Ifakara, United Republic of Tanzania
- St. Francis Referral Hospital, Ifakara, United Republic of Tanzania
| | - Daniel Henry Paris
- Swiss Tropical and Public Health Institute, Allschwil
- University of Basel
| | - Aneth Vedastus Kalinjuma
- Ifakara Health Institute, Ifakara branch, Ifakara, United Republic of Tanzania
- Epidemiology and Biostatistics Department, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Ezekiel Luoga
- Swiss Tropical and Public Health Institute, Allschwil
- University of Basel
| | - Lulu Wilson
- Ifakara Health Institute, Ifakara branch, Ifakara, United Republic of Tanzania
| | - Tracy Renée Glass
- Swiss Tropical and Public Health Institute, Allschwil
- University of Basel
| | - Fabian Christoph Franzeck
- University of Basel
- Research and analytics, Department of Informatics, University Hospital Basel, Basel
- Infectious Diseases and Hospital Epidemiology, University Medical Center Basel-Land, Switzerland
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Lee Y, Seo JH, Lee J, Kim HS. Causal Effects of 25-Hydroxyvitamin D on Metabolic Syndrome and Metabolic Risk Traits: A Bidirectional Two-Sample Mendelian Randomization Study. Biomedicines 2025; 13:723. [PMID: 40149699 PMCID: PMC11940704 DOI: 10.3390/biomedicines13030723] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2025] [Revised: 03/10/2025] [Accepted: 03/13/2025] [Indexed: 03/29/2025] Open
Abstract
Background/Objectives: Individuals with metabolic syndrome (MetS) present reduced 25(OH)D levels. We performed a two-sample Mendelian randomization (MR) study to investigate whether causal relationships exist between 25(OH)D levels and MetS/MetS risk traits, including waist circumference, body mass index (BMI), hypertension (systolic/diastolic blood pressure), triglyceride, high-density lipoprotein cholesterol, and glucose levels. Methods: We employed genetic variants related to 25(OH)D levels from the SUNLIGHT Consortium and a European genome-wide association study meta-analysis, including UK Biobank (UKB) data, as well as variants for MetS and MetS risk traits from UKB and multiple European consortia. Several MR methods were used, i.e., inverse-variance weighted, weighted median, and MR-Egger regression. Heterogeneity and horizontal pleiotropy analyses were performed to ensure the stability of candidate single-nucleotide polymorphisms (SNPs) as the instrumental variable. We first conducted univariable MR to investigate the relationship between 25(OH)D levels and MetS, including its related risk traits, and subsequently performed multivariable MR to adjust for potential confounders. Results: This study did not provide evidence of a causal relationship between 25(OH)D levels and MetS/MetS risk traits. However, we found that several risk traits of MetS, such as waist circumference, BMI, and TG, had an inverse-causal relationship with 25(OH)D levels, suggesting that 25(OH)D levels could be secondary consequences of metabolic illnesses. Conclusions: We identified no causal relationship between 25(OH)D levels and MetS/MetS risk factors. However, 25(OH)D levels may result from MetS traits.
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Affiliation(s)
- Young Lee
- Veterans Medical Research Institute, Veterans Health Service Medical Center, Seoul 05368, Republic of Korea; (Y.L.); (J.H.S.)
| | - Je Hyun Seo
- Veterans Medical Research Institute, Veterans Health Service Medical Center, Seoul 05368, Republic of Korea; (Y.L.); (J.H.S.)
| | - Junyong Lee
- Department of Family Medicine, Veterans Health Service Medical Center, Seoul 05368, Republic of Korea;
| | - Hwa Sun Kim
- Department of Family Medicine, Veterans Health Service Medical Center, Seoul 05368, Republic of Korea;
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Campos-Garzón P, Valle-Muñoz VM, Segura-Díaz JM, Ávila-García M, Saucedo-Araujo RG, Ruiz-Alarcón A, López-Centeno FD, Pérez De Arrilucea Le Floc’h UA, Alcantara JMA, Medel-Carbonell LM, Rodriguez-Sanchez D, Ramírez-Osuna A, Castillo-Barragán M, Águila-Lara E, Huertas-Delgado FJ, Herrador-Colmenero M, Mandic S, Chillón P, Barranco-Ruiz Y, Villa-González E. ENERGY expenditure of COmmuting to school (ENERGYCO): protocol for a cluster randomized controlled trial. Front Public Health 2025; 13:1467227. [PMID: 40161015 PMCID: PMC11949797 DOI: 10.3389/fpubh.2025.1467227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2024] [Accepted: 02/20/2025] [Indexed: 04/02/2025] Open
Abstract
Introduction This article outlines the rationale and methodology of the ENERGY expenditure of COmmuting to school study (the ENERGYCO study), a cluster-randomized controlled trial. The ENERGYCO study is divided into two phases: Phase I will aim; to assess the physical activity energy expenditure (PAEE) of different modes of commuting to school (i.e., walking, cycling, and motorized-vehicle) using indirect calorimetry in Spanish adolescents; and Phase II will aim to assess the effect of a school-based cycling intervention on resting metabolic rate and PAEE, as well as on other physiological, physical, and psychosocial outcomes on Spanish adolescents. Method For Phase I, a convenience sample of ~50 adolescents will be recruited. These participants will have their PAEE assessed in three different modes of commuting. Regarding phase II, a total of 300 adolescents from different schools in three Spanish cities will participate in this cluster randomized controlled trial. As many schools as necessary to meet the target sample will be included. In addition, each school will be randomized as either an intervention or control group. Participants from intervention schools will be asked to complete a school-based cycling intervention, while participants from control schools will be asked to continue their same habits for 8 weeks. The school-based cycling intervention will last for 8 weeks and will include Bikeability sessions, along with encouragement strategies to increase adherence to cycling to and from school. Conclusion The ENERGYCO study will provide novel insights into the PAEE associated with different modes of commuting to school using indirect calorimetry, as well as a comprehensive overview of how an 8-week school-based cycling intervention impacts resting energy expenditure, daily energy expenditure, and the physical and psychosocial health of adolescents.
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Affiliation(s)
- Pablo Campos-Garzón
- Faculty of Health Sciences, University of Lethbridge, Lethbridge, Alberta, Canada
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
| | - Víctor Manuel Valle-Muñoz
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
| | - José Manuel Segura-Díaz
- Department of Didactics of Musical, Plastic and Corporal Expression, University of Jaén, Jaén, Spain
| | - Manuel Ávila-García
- Inmaculada Teacher Training Centre, Sport and Health University Research Institute (IMUDS), University of Granada, Granada, Spain
- Faculty of Sport Sciences, University Isabel I, Burgos, Spain
| | - Romina Gisele Saucedo-Araujo
- Department of Specific Didactics, Faculty of Education, University of La Laguna, San Cristóbal de La Laguna, Santa Cruz de Tenerife, Spain
- Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
| | - Ana Ruiz-Alarcón
- Inmaculada Teacher Training Centre, Sport and Health University Research Institute (IMUDS), University of Granada, Granada, Spain
| | | | | | - Juan M. A. Alcantara
- Department of Health Sciences, Institute for Innovation & Sustainable Food Chain Development, Public University of Navarre, Pamplona, Spain
- Navarra Institute for Health Research, IdiSNA, Pamplona, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
| | - Luis Miguel Medel-Carbonell
- Inmaculada Teacher Training Centre, Sport and Health University Research Institute (IMUDS), University of Granada, Granada, Spain
| | - David Rodriguez-Sanchez
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
| | - Ana Ramírez-Osuna
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
| | - Marina Castillo-Barragán
- Inmaculada Teacher Training Centre, Sport and Health University Research Institute (IMUDS), University of Granada, Granada, Spain
| | - Estela Águila-Lara
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
| | - Francisco Javier Huertas-Delgado
- Inmaculada Teacher Training Centre, Sport and Health University Research Institute (IMUDS), University of Granada, Granada, Spain
| | - Manuel Herrador-Colmenero
- Inmaculada Teacher Training Centre, Sport and Health University Research Institute (IMUDS), University of Granada, Granada, Spain
| | - Sandra Mandic
- School of Sport and Recreation, Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland, New Zealand
- AGILE Research Ltd., Wellington, New Zealand
| | - Palma Chillón
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
| | - Yaira Barranco-Ruiz
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
| | - Emilio Villa-González
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
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Seth C, Schmid V, Mueller S, Haykowsky M, Foulkes SJ, Halle M, Wernhart S. Diabetes, obesity, and cardiovascular disease-what is the impact of lifestyle modification? Herz 2025:10.1007/s00059-025-05309-x. [PMID: 40085207 DOI: 10.1007/s00059-025-05309-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/18/2025] [Indexed: 03/16/2025]
Abstract
Diabetes, obesity, and cardiovascular disease (CVD) represent an escalating global health challenge, contributing significantly to morbidity, mortality, and healthcare costs. Evidence from large cohort studies and clinical trials underscores the impact of diabetes and obesity as major risk factors for CVD, causing systemic inflammation, insulin resistance, and neurohormonal activation. Frequently, a sedentary lifestyle and unbalanced dietary habits are associated with these risk factors. Physical activity and exercise training interventions, a Mediterranean and plant-based diet, smoking cessation, and reduction of alcohol have shown promise in mitigating these risks. The implementation of lifestyle and pharmacotherapy have emerged as new pillars of preventive medicine. This review discusses the evidence of lifestyle interventions to reduce the burden of diabetes, obesity, and CVD. It is highlighted that only a multifaceted, sustained approach integrating lifestyle interventions and pharmacological strategies can reduce the burden of disease and improve long-term outcomes.
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Affiliation(s)
- Celina Seth
- Department for Preventive Sports Medicine and Sports Cardiology, Technical University of Munich, Georg-Brauchle-Ring 56/58, 80992, Munich, Germany
| | - Veronika Schmid
- Department for Preventive Sports Medicine and Sports Cardiology, Technical University of Munich, Georg-Brauchle-Ring 56/58, 80992, Munich, Germany
| | - Stephan Mueller
- Department for Preventive Sports Medicine and Sports Cardiology, Technical University of Munich, Georg-Brauchle-Ring 56/58, 80992, Munich, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany
| | - Mark Haykowsky
- Integrated Cardiovascular and Exercise Physiology and Rehabilitation (iCARE) Laboratory, College of Health Sciences, University of Alberta, Edmonton, Alberta, Canada
| | - Stephen J Foulkes
- Integrated Cardiovascular and Exercise Physiology and Rehabilitation (iCARE) Laboratory, College of Health Sciences, University of Alberta, Edmonton, Alberta, Canada
- Heart, Exercise and Research Trials Lab, St Vincent's Institute of Medical Research, Melbourne, Victoria, Australia
| | - Martin Halle
- Department for Preventive Sports Medicine and Sports Cardiology, Technical University of Munich, Georg-Brauchle-Ring 56/58, 80992, Munich, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany
| | - Simon Wernhart
- Department for Preventive Sports Medicine and Sports Cardiology, Technical University of Munich, Georg-Brauchle-Ring 56/58, 80992, Munich, Germany.
- DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany.
- School of Medicine and Health, TUM University Hospital, Munich, Germany.
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Baya NA, Erdem IS, Venkatesh SS, Reibe S, Charles PD, Navarro-Guerrero E, Hill B, Lassen FH, Claussnitzer M, Palmer DS, Lindgren CM. Combining evidence from human genetic and functional screens to identify pathways altering obesity and fat distribution. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2025:2024.09.19.24313913. [PMID: 39371160 PMCID: PMC11451655 DOI: 10.1101/2024.09.19.24313913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 10/08/2024]
Abstract
Overall adiposity and body fat distribution are heritable traits associated with altered risk of cardiometabolic disease and mortality. Performing rare variant (minor allele frequency<1%) association testing using exome-sequencing data from 402,375 participants in the UK Biobank (UKB) for nine overall and tissue-specific fat distribution traits, we identified 19 genes where putatively damaging rare variation associated with at least one trait (Bonferroni-adjusted P <1.58×10 -7 ) and 50 additional genes at FDR≤1% ( P ≤4.37×10 -5 ). These 69 genes exhibited significantly higher (one-sided t -test P =3.58×10 -18 ) common variant prioritisation scores than genes not significantly enriched for rare putatively damaging variation, with evidence of monotonic allelic series (dose-response relationships) among ultra-rare variants (minor allele count≤10) in 22 genes. Combining rare and common variation evidence, allelic series and longitudinal analysis, we selected 14 genes for CRISPR knockdown in human white adipose tissue cell lines. In three previously uncharacterised target genes, knockdown increased (two-sided t -test P <0.05) lipid accumulation, a cellular phenotype relevant for fat mass traits, compared to Cas9-empty negative controls: COL5A3 (fold change [FC]=1.72, P =0.0028), EXOC7 (FC=1.35, P =0.0096), and TRIP10 (FC=1.39, P =0.0157); furthermore, knockdown of PPARG (FC=0.25, P =5.52×10 -7 ) and SLTM (FC=0.51, P =1.91×10 -4 ) resulted in reduced lipid accumulation. Integrating across population-based genetic and in vitro functional evidence, we highlight therapeutic avenues for altering obesity and body fat distribution by modulating lipid accumulation.
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Jiang Z, He L, Li D, Zhuo L, Chen L, Shi RQ, Luo J, Feng Y, Liang Y, Li D, Congmei X, Fu Y, Chen YM, Zheng JS, Tao L. Human gut microbial aromatic amino acid and related metabolites prevent obesity through intestinal immune control. Nat Metab 2025:10.1038/s42255-025-01246-5. [PMID: 40087408 DOI: 10.1038/s42255-025-01246-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 02/14/2025] [Indexed: 03/17/2025]
Abstract
Obesity affects millions of people in the world. The gut microbiome influences body fat accumulation, but the mechanisms remain to be investigated. Here, we show an association between microbial aromatic amino acid metabolites in serum and body fat accumulation in a large Chinese longitudinal cohort. We next identify that 4-hydroxyphenylacetic acid (4HPAA) and its analogues effectively protect male mice from high-fat-diet-induced obesity. These metabolites act on intestinal mucosa to regulate the immune response and control lipid uptake, which protects against obesity. We further demonstrate that T cells and B cells are not vital for 4HPAA-mediated obesity prevention, and innate lymphoid cells have antagonistic roles. Together, these findings reveal specific microbial metabolites as pivotal molecules to prohibit obesity through immune control, establishing mechanisms of host modulation by gut microbial metabolites.
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Affiliation(s)
- Zengliang Jiang
- Research Center for Industries of the Future, School of Medicine, School of Life Sciences, Westlake University, Hangzhou, China
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Food, Nutrition, and Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
- Zhejiang Key Laboratory of Multi-Omics in Infection and Immunity, Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
- College of Biosystems Engineering and Food Science, National-Local Joint Engineering Laboratory of Intelligent Food Technology and Equipment, Zhejiang University, Hangzhou, China
- Innovation Center of Yangtze River Delta, Jiaxing, Zhejiang, China
| | - Liuqing He
- Research Center for Industries of the Future, School of Medicine, School of Life Sciences, Westlake University, Hangzhou, China
- Zhejiang Key Laboratory of Multi-Omics in Infection and Immunity, Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
| | - Diyin Li
- Research Center for Industries of the Future, School of Medicine, School of Life Sciences, Westlake University, Hangzhou, China
- Zhejiang Key Laboratory of Multi-Omics in Infection and Immunity, Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
| | - Laibao Zhuo
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Food, Nutrition, and Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Lingjun Chen
- Research Center for Industries of the Future, School of Medicine, School of Life Sciences, Westlake University, Hangzhou, China
- Zhejiang Key Laboratory of Multi-Omics in Infection and Immunity, Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
- Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Rui-Qi Shi
- Research Center for Industries of the Future, School of Medicine, School of Life Sciences, Westlake University, Hangzhou, China
- Zhejiang Key Laboratory of Multi-Omics in Infection and Immunity, Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
| | - Jianhua Luo
- Research Center for Industries of the Future, School of Medicine, School of Life Sciences, Westlake University, Hangzhou, China
- Zhejiang Key Laboratory of Multi-Omics in Infection and Immunity, Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
| | - Yuhui Feng
- Research Center for Industries of the Future, School of Medicine, School of Life Sciences, Westlake University, Hangzhou, China
- Zhejiang Key Laboratory of Multi-Omics in Infection and Immunity, Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
| | - Yuhui Liang
- Research Center for Industries of the Future, School of Medicine, School of Life Sciences, Westlake University, Hangzhou, China
- Zhejiang Key Laboratory of Multi-Omics in Infection and Immunity, Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Danyang Li
- Research Center for Industries of the Future, School of Medicine, School of Life Sciences, Westlake University, Hangzhou, China
- Zhejiang Key Laboratory of Multi-Omics in Infection and Immunity, Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
| | - Xiao Congmei
- Research Center for Industries of the Future, School of Medicine, School of Life Sciences, Westlake University, Hangzhou, China
- Zhejiang Key Laboratory of Multi-Omics in Infection and Immunity, Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Yuanqing Fu
- Research Center for Industries of the Future, School of Medicine, School of Life Sciences, Westlake University, Hangzhou, China
- Zhejiang Key Laboratory of Multi-Omics in Infection and Immunity, Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
| | - Yu-Ming Chen
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Food, Nutrition, and Health, School of Public Health, Sun Yat-sen University, Guangzhou, China.
| | - Ju-Sheng Zheng
- Research Center for Industries of the Future, School of Medicine, School of Life Sciences, Westlake University, Hangzhou, China.
- Zhejiang Key Laboratory of Multi-Omics in Infection and Immunity, Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China.
- Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, China.
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China.
| | - Liang Tao
- Research Center for Industries of the Future, School of Medicine, School of Life Sciences, Westlake University, Hangzhou, China.
- Zhejiang Key Laboratory of Multi-Omics in Infection and Immunity, Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China.
- Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, China.
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China.
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Cui Y, Qi Q, Sun Y, Liu R, Yin W, Liu H. Nutrition literacy is associated with general obesity, abdominal obesity, and body fat percentage obesity. Front Nutr 2025; 12:1555725. [PMID: 40144565 PMCID: PMC11936784 DOI: 10.3389/fnut.2025.1555725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2025] [Accepted: 02/27/2025] [Indexed: 03/28/2025] Open
Abstract
Background Obesity is associated with unhealthy eating behavior among adults. Nutrition literacy (NL) is an important determinant of eating behavior. This study investigated the association of NL with general obesity, abdominal obesity, and body fat percentage (BFP) obesity among adults. Methods This study was a cross-sectional survey on the Nutrition Literacy and Obesity, conducted in Bengbu City, China (May to July 2023). The Short-Form Nutrition Literacy scale was used to evaluate the NL of adults. General obesity was defined as a body mass index of ≥28 kg/m2. Abdominal obesity was defined as a waist circumference of ≥90 cm in men and ≥85 cm in women. BFP obesity was defined as a BFP of ≥30% in men and ≥42% in women. Binary logistic regression analysis was performed to identify the correlations of NL with general obesity, abdominal obesity, and BFP obesity in adults. Subgroup analyses and interaction tests were also performed. Results Participants with a high level of NL had low odds of general obesity (odds ratio [OR]: 0.66; 95% confidence interval [CI]: 0.43-0.99), abdominal obesity (OR: 0.63; 95% CI: 0.46-0.87), and BFP obesity (OR: 0.55; 95% CI: 0.35-0.87). In subgroup analyses and interaction tests, age significantly influenced the negative correlations of NL with abdominal obesity and BFP obesity (p for interaction <0.05), but not general obesity (p for interaction >0.05). Moreover, sex and smoking status significantly influenced the negative correlations of NL with general obesity and abdominal obesity (p for interaction <0.05), but not BFP obesity (p for interaction >0.05), and drinking status significantly influenced the negative correlations of NL with abdominal obesity (p for interaction <0.05), but not general obesity and BFP obesity (p for interaction >0.05). However, marital status did not significantly influence the correlation of NL with obesity (p for interaction >0.05). Conclusion Our findings highlight that adults with high levels of NL have low odds of general obesity, abdominal obesity, and BFP obesity. Age, sex, smoking status, and drinking status influence the correlation between NL and obesity. The results indicate the importance of NL in the prevention and management of obesity in adults. To effectively address the challenges of adult obesity management, public health practitioners should tailor nutrition education and skill training programs to specific demographic profiles.
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Affiliation(s)
- Yan Cui
- School of Public Health, Bengbu Medical University, Bengbu, Anhui, China
| | - Qi Qi
- Huainan Maternal and Child Health and Family Planning Service Centre, Huainan, Anhui, China
| | - Yuhui Sun
- School of Public Health, Bengbu Medical University, Bengbu, Anhui, China
| | - Rumeng Liu
- School of Public Health, Bengbu Medical University, Bengbu, Anhui, China
| | - Wending Yin
- School of Public Health, Bengbu Medical University, Bengbu, Anhui, China
| | - Huaqing Liu
- School of Public Health, Bengbu Medical University, Bengbu, Anhui, China
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Salvador R, Moutinho CG, Sousa C, Vinha AF, Carvalho M, Matos C. Semaglutide as a GLP-1 Agonist: A Breakthrough in Obesity Treatment. Pharmaceuticals (Basel) 2025; 18:399. [PMID: 40143174 PMCID: PMC11944337 DOI: 10.3390/ph18030399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2025] [Revised: 03/08/2025] [Accepted: 03/10/2025] [Indexed: 03/28/2025] Open
Abstract
This review addresses the role of semaglutide (SMG), a GLP-1 receptor agonist, in the treatment of obesity and its related comorbidities. Originally developed for type 2 diabetes (DM2), SMG has shown significant efficacy in weight reduction, with superior results compared to other treatments in the same class. Its effects include appetite suppression, increased satiety, and improvements in cardiovascular, renal, and metabolic parameters. Studies such as SUSTAIN, PIONEER, and STEP highlight its superiority compared to other GLP-1 receptor agonists and anti-obesity drugs. The oral formulation showed promising initial results, with higher doses (50 mg) showing weight losses comparable to those of subcutaneous administration. Despite its benefits, there are challenges, such as weight regain after cessation of treatment, gastrointestinal adverse effects, and variability of response. Future studies should explore strategies to mitigate these effects, identify predictive factors of efficacy, and expand therapeutic indications to other conditions related to obesity and insulin resistance. The constant innovation in this class of drugs reinforces the potential of SMG to transform treatment protocols for chronic weight-related diseases.
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Affiliation(s)
- Rui Salvador
- Faculty of Health Sciences, Fernando Pessoa University, Rua Carlos da Maia 296, 4200-150 Porto, Portugal; (R.S.); (C.G.M.); (C.S.); (A.F.V.)
| | - Carla Guimarães Moutinho
- Faculty of Health Sciences, Fernando Pessoa University, Rua Carlos da Maia 296, 4200-150 Porto, Portugal; (R.S.); (C.G.M.); (C.S.); (A.F.V.)
- LAQV/REQUIMTE, Department of Chemical Sciences, Faculty of Pharmacy, University of Porto, R. Jorge de Viterbo Ferreira, 228, 4050-313 Porto, Portugal
- RISE-Health, Faculty of Health Sciences, Fernando Pessoa University, Fernando Pessoa Teaching and Culture Foundation, Rua Carlos da Maia 296, 4200-150 Porto, Portugal
| | - Carla Sousa
- Faculty of Health Sciences, Fernando Pessoa University, Rua Carlos da Maia 296, 4200-150 Porto, Portugal; (R.S.); (C.G.M.); (C.S.); (A.F.V.)
- LAQV/REQUIMTE, Department of Chemical Sciences, Faculty of Pharmacy, University of Porto, R. Jorge de Viterbo Ferreira, 228, 4050-313 Porto, Portugal
| | - Ana Ferreira Vinha
- Faculty of Health Sciences, Fernando Pessoa University, Rua Carlos da Maia 296, 4200-150 Porto, Portugal; (R.S.); (C.G.M.); (C.S.); (A.F.V.)
- LAQV/REQUIMTE, Department of Chemical Sciences, Faculty of Pharmacy, University of Porto, R. Jorge de Viterbo Ferreira, 228, 4050-313 Porto, Portugal
| | - Márcia Carvalho
- Faculty of Health Sciences, Fernando Pessoa University, Rua Carlos da Maia 296, 4200-150 Porto, Portugal; (R.S.); (C.G.M.); (C.S.); (A.F.V.)
- LAQV/REQUIMTE, Department of Chemical Sciences, Faculty of Pharmacy, University of Porto, R. Jorge de Viterbo Ferreira, 228, 4050-313 Porto, Portugal
- RISE-Health, Faculty of Health Sciences, Fernando Pessoa University, Fernando Pessoa Teaching and Culture Foundation, Rua Carlos da Maia 296, 4200-150 Porto, Portugal
| | - Carla Matos
- Faculty of Health Sciences, Fernando Pessoa University, Rua Carlos da Maia 296, 4200-150 Porto, Portugal; (R.S.); (C.G.M.); (C.S.); (A.F.V.)
- LAQV/REQUIMTE, Department of Chemical Sciences, Faculty of Pharmacy, University of Porto, R. Jorge de Viterbo Ferreira, 228, 4050-313 Porto, Portugal
- RISE-Health, Faculty of Health Sciences, Fernando Pessoa University, Fernando Pessoa Teaching and Culture Foundation, Rua Carlos da Maia 296, 4200-150 Porto, Portugal
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Du N, Liu L, Yin Z, Xu C, Yin S. Does income have a non-linear impact on residents' BMI? Re-examining the obesity Kuznets curve. BMC Public Health 2025; 25:958. [PMID: 40069695 PMCID: PMC11895372 DOI: 10.1186/s12889-025-22135-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2024] [Accepted: 02/27/2025] [Indexed: 03/15/2025] Open
Abstract
BACKGROUND After more than 40 years of growth, the income of Chinese residents has greatly increased; however, the problems of overweight and obesity among residents have become increasingly prominent. METHODS We used data from the China Family Panel Studies (CFPS) to study the relationship between residents' income and obesity using the instrumental variable (IV) method. RESULTS The impact of income on residents' body mass index (BMI) is an inverted U-shape; that is, when income is low, BMI significantly rises with income, and when per capita income exceeds 57,066 yuan in 2023 prices (equivalent to 8,098 dollars), further increases in income will lead to a decrease in BMI. CONCLUSIONS The results suggest that the impact of income on resident obesity may be related to dietary behaviour and health investment. Although income increases the likelihood of health expenditure and exercise, it has an inverted U-shaped effect on whether residents consume fish, meat, fried or pickled foods, and dine out. That is, in the low-income stage, income mainly increases consumption of unhealthy foods such as fish, meat, and fried and pickled foods, leading to a significant increase in BMI. In the high-income stage, residents reduce consumption of large amounts of fish and meat, pay more attention to healthy diet and healthcare, and increase exercise, which leads to a decline in BMI and an overall inverted U-shaped impact of income on obesity. Further heterogeneous analysis showed that income has a greater impact on obesity among rural residents, those aged 50 years and older, and those with low education levels. Finally, this study provides relevant suggestions for the prevention and control (P&C) of obesity among urban and rural residents.
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Affiliation(s)
- Nianyu Du
- School of Economics, Qufu Normal University, 80 Yantai Road, Rizhao, Shandong Province, P.R. China.
| | - Lele Liu
- School of Economics, Qufu Normal University, 80 Yantai Road, Rizhao, Shandong Province, P.R. China
| | - Zongshuo Yin
- China Academy for Rural Development, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang Province, P.R. China
| | - Cui Xu
- School of Statistics and Data Science, Qufu Normal University, 80 Yantai Road, Rizhao, Shandong Province, P.R. China
| | - Shijiu Yin
- School of Economics and Management, Anhui Agricultural University, 130 Jiangxi Road, Hefei, Anhui Province, P.R. China.
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Wu R, Guo Y, Chen Y, Zhang J. Osteoarthritis burden and inequality from 1990 to 2021: a systematic analysis for the global burden of disease Study 2021. Sci Rep 2025; 15:8305. [PMID: 40065123 PMCID: PMC11894191 DOI: 10.1038/s41598-025-93124-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2024] [Accepted: 03/04/2025] [Indexed: 03/14/2025] Open
Abstract
Osteoarthritis (OA) is a major global health burden, affecting millions and causing significant disability. Understanding its trends and determinants is crucial for effective management and prevention. We analyzed data from the Global Burden of Diseases (GBD) study 2021 to assess OA incidence, Years Lived with Disability (YLDs), and age-standardized rates (ASIR/ASYR) from 1990 to 2021. We explored trends and determinants across gender, region, and Socio-Demographic Index (SDI) quintiles using Joinpoint regression, Age-Period-Cohort (APC) modeling, decomposition, and inequality analyses. The global incidence of OA surged from 20.9 million in 1990 to 46.6 million cases in 2021, with an AAPC of 0.29%. Correspondingly, YLDs escalated from 8.92 million to 21.30 million, reflecting an AAPC of 0.30%. Disparities exist across SDI quintiles, with higher rates observed in high SDI countries. Women consistently experience a higher burden compared to men. Asian regions demonstrate the fastest rise in ASYR. High BMI contributes significantly to OA burden, particularly in high SDI countries. The rising burden of OA necessitates urgent attention. Interventions targeting modifiable risk factors, such as obesity, and early detection and management strategies are crucial. Addressing gender disparities and health inequalities, particularly in high SDI countries, is essential for effective OA prevention and control.
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Affiliation(s)
- Ruofeng Wu
- Department of Operation, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China
| | - Yu Guo
- Department of Orthopedics, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China
| | - Yi Chen
- Department of Orthopedics, Fuzhou Changle District People's Hospital, No. 333 Xiyang South Road, Changle District, Fuzhou, Fujian Province, China
| | - Jingwen Zhang
- Department of Orthopedics, Fuzhou Changle District People's Hospital, No. 333 Xiyang South Road, Changle District, Fuzhou, Fujian Province, China.
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Arabi S, Pourazizi M, Heidari-Beni M, Yazdi M, Kelishadi R. Association of childhood obesity on retinal microvasculature and the role of biochemical markers for its early detection. BMC Ophthalmol 2025; 25:118. [PMID: 40065277 PMCID: PMC11892121 DOI: 10.1186/s12886-025-03942-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2024] [Accepted: 02/24/2025] [Indexed: 03/14/2025] Open
Abstract
BACKGROUND Childhood obesity is a growing public health concern, associated with several systemic disorders including changes in retinal microvasculature. This study aims to assess the relationship between body composition, biochemical markers, and retinal microvascular changes in obese children. METHODS In this cross-sectional study, 45 overweight and obese children and 46 age- and sex-matched healthy individuals were evaluated. In addition to physical examination, anthropometric measurements were obtained using a body composition analyzer. A comprehensive ophthalmic assessment was conducted for all participants, which included advanced optical biometry, autorefractometry, visual acuity testing, and slit-lamp examination. Retinal microvasculature was assessed using optical coherence tomography angiography (OCT-A). Biochemical markers, including lipid profile, liver function tests, and CRP (as marker of inflammation), were also analyzed. RESULTS The mean ages were 10.18 and 9.40 years in the obese/overweight and normal weight groups, respectively. Increased foveal thickness (p = 0.04) and foveal vessel density (p = 0.01) in the superficial capillary plexus, and decreased vessel density in the inferior parafoveal region of the deep capillary plexus (p = 0.03) were observed in obese/overweight children. Adjusted and crude regression analysis showed significant associations between body mass index, percent body fat, fasting blood glucose, and serum alanine transaminase levels with foveal vessel density, as well as between body mass index and serum triglycerides levels with foveal thickness. CONCLUSIONS Our findings suggest that childhood obesity is associated with significant alterations in retinal microvasculature. We propose that retinal health assessments and biochemical evaluations be considered in the clinical management of obese children.
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Affiliation(s)
- Sina Arabi
- Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non-Communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mohsen Pourazizi
- Department of Ophthalmology, Isfahan Eye Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Motahar Heidari-Beni
- Department of Nutrition, Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non-Communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Maryam Yazdi
- Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non-Communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Roya Kelishadi
- Department of Pediatrics, Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non-Communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran.
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Ng M, Gakidou E, Lo J, Abate YH, Abbafati C, Abbas N, Abbasian M, Abd ElHafeez S, Abdel-Rahman WM, Abd-Elsalam S, Abdollahi A, Abdoun M, Abdulah DM, Abdulkader RS, Abdullahi A, Abedi A, Abeywickrama HM, Abie A, Aboagye RG, Abohashem S, Abtahi D, Abualruz H, Abubakar B, Abu Farha RK, Abukhadijah HJ, Abu-Rmeileh NME, Aburuz S, Abu-Zaid A, Adams LC, Adane MM, Addo IY, Adedokun KA, Adegoke NA, Adepoju AVV, Adesola RO, Adeyeoluwa TE, Adiga U, Adnani QES, Afaghi S, Afzal S, Afzal MS, Agampodi TC, Aghamiri S, Agostinis Sobrinho C, Agyemang-Duah W, Ahlstrom AJ, Ahmad D, Ahmad S, Ahmad A, Ahmad MM, Ahmad F, Ahmad N, Ahmed H, Ahmed MB, Ahmed A, Ahmed MS, Ahmed MS, Ahmed SA, Ajami M, Akhtar S, Akkaif MA, Akrami AE, Alalwan TA, Al-Aly Z, Alam K, Al-amer RM, Alansari A, Al-Ashwal FY, Albashtawy M, Aldhaleei WA, Alemayehu BA, Algammal AM, Alhabib KF, Al Hamad H, Al Hasan SM, Alhuwail D, Ali R, Ali A, Ali W, Ali MU, Alif SM, Al-Jabi SW, Aljunid SM, Alkhatib A, Al-Marwani S, Alomari MA, Alqahtani SA, Al-Raddadi RMM, Alrawashdeh A, Alrimawi I, Alrousan SM, Alshahrani NZ, Al Ta'ani O, Al Ta'ani Z, Altaany Z, Altaf A, Al Thaher Y, Alvis-Guzman N, Al-Wardat M, Al-Worafi YM, Aly S, Aly H, Alzahrani H, Alzoubi A, Alzoubi KH, Al-Zubayer MA, Amiri S, Amu H, Amugsi DA, Amusa GA, Ananda RA, Ancuceanu R, Andrei CL, Anjana RM, Ansari S, Ansari MT, Antony CM, Anuoluwa IA, Anuoluwa BS, Anvari S, Anwar S, Anyasodor AE, Apostol GLC, Arab JP, Arabloo J, Arafat M, Aravkin AY, Areda D, Arifin H, Arkew M, Armocida B, Ärnlöv J, Arooj M, Artamonov AA, Artanti KD, Arumugam A, Asghari-Jafarabadi M, Ashraf T, Asiamah-Asare BKY, Asrat AA, Astell-Burt T, Athari SS, Atorkey P, Atreya A, Aumoldaeva ZM, Awad H, Awoke MA, Awotidebe AW, Aychiluhm SB, Azargoonjahromi A, Azimi A, Aziz SA, Aziz S, Azzam AY, Azzolino D, Azzopardi PS, Babashahi M, Babu GR, Badiye AD, Bagheri N, Bahurupi Y, Bai R, Baig AA, Bakkannavar SM, Balakrishnan S, Baltatu OC, Bam K, Banach M, Banik R, Bardhan M, Barqawi HJ, Barquera S, Barua L, Basharat Z, Bashir S, Bastan MM, Basu S, Bayat R, Bayih MT, Beeraka NM, Begum T, Bello UM, Bello AB, Belo L, Bensenor IM, Bergami M, Berhe K, Berihun AA, Bhadoria AS, Bhagavathula AS, Bhala N, Bhalla JS, Bharadwaj R, Bhardwaj P, Bhardwaj N, Bhaskar S, Bhat AN, Bhattacharjee P, Bhattacharjee S, Bhatti JS, Bhatti GK, Bikov A, Bilgin C, Bisignano C, Biswas B, Bizzozero Peroni B, Bjertness E, Bjørge T, Bolla SR, Borhany H, Bosoka SA, Bouaoud S, Boyko EJ, Braithwaite D, Brazo-Sayavera J, Brenner H, Britton G, Bryazka D, Bugiardini R, Bui LP, Busch F, Bustanji Y, Butt NS, Butt ZA, Calina D, Campos LA, Campos-Nonato I, Cao S, Cao Y, Capodici A, Carvalho AF, Carvalho M, Catapano AL, Cattafesta M, Cattaruzza MS, Cegolon L, Cembranel F, Cenko E, Cerin E, Cernigliaro A, Chadwick J, Chakraborty C, Chan RNC, Chang JC, Chattu VK, Chaudhary AA, Chaurasia A, Chen G, Chen AT, Chen H, Cheng ETW, Chew NWS, Chi G, Chimoriya R, Ching PR, Choi DW, Chong B, Chopra H, Chopra S, Chou HI, Choudhari SG, Chu DT, Chung S, Chung SC, Chutiyami M, Cini KI, Cioffi I, Cogen RM, Collado-Mateo D, Columbus A, Conrad N, Criqui MH, Cruz-Martins N, Cummins S, D'Amico E, D'Anna L, D'Oria M, Dadras O, Dai X, Dalakoti M, Dandona R, Dandona L, Danpanichkul P, Darcho SD, Darvishi Cheshmeh Soltani R, da Silva AG, Davletov K, Delgado-Enciso I, Denova-Gutiérrez E, Derbew Molla M, Dergaa I, Desale AT, Devanbu VGC, Devegowda D, Dewan SMR, Dhali A, Dharmaratne SD, Dhimal M, Dhungel B, Diaz D, Dinu M, Dodangeh M, Dohare S, Dokova KG, Dolatkhah N, do Prado CB, Dorostkar F, Doshi OP, Doshi RP, Dowou RK, Dsouza VS, Du M, Dumith SC, Dumuid D, Duncan BB, Dutta S, Dziedzic AM, Ebrahimi A, Eftekhari B, Eighaei Sedeh A, Ekholuenetale M, Eladl MA, El Arab RA, El-Ashker S, Elbarazi I, El Bayoumy IF, Elgendy IY, Elhadi M, El-Huneidi W, El-Metwally AA, Elmonem MA, Elnaem MH, Elsheikh R, Elsohaby I, Eltaha C, Emeto TI, Eslami M, Eze UA, Fadavian H, Fagbamigbe AF, Fakhradiyev IR, Faraji SN, Farinha CSES, Faris MEM, Farooque U, Farrokhpour H, Fasusi SA, Fazeli P, Fazylov T, Feizkhah A, Fekadu G, Feng X, Fernandes JC, Fernandez-Jimenez R, Ferreira N, Feyisa BR, Fischer F, Flood D, Foigt NA, Folayan MO, Fomenkov AA, Foroumadi R, Fortuna Rodrigues C, Foschi M, Fotouhi M, Francis KL, Franklin RC, Gába A, Gadanya MA, Gaidhane AM, Galali Y, Gallus S, Ganesan B, Gangachannaiah S, Gastélum Espinoza WP, Gebregergis MW, Gebremeskel TG, Getacher L, Ghadirian F, Ghaffari Jolfayi A, Ghamari SH, Ghazy RM, Gil AU, Gill TK, Gnedovskaya EV, Golechha M, Golinelli D, Grivna M, Grover A, Guan Z, Guan SY, Guarducci G, Gubari MIM, Guha A, Gunawardane DA, Guo Z, Gupta R, Gupta AK, Gupta R, Gupta S, Gupta VK, Gutiérrez-Murillo RS, Guzman-Esquivel J, Hadi NR, Hadian Z, Hamdy NM, Hameed S, Hamidi S, Hamiduzzaman M, Hanif A, Hanifi N, Hankey GJ, Haq A, Harlianto NI, Haro JM, Hartono RK, Hasan F, Hashempur MH, Hasnain MS, Hassan A, Hassan N, Hassanipour S, Hassanzade Rad A, Havmoeller RJ, Hay SI, He WQ, Hebert JJ, Heidari G, Hemmati M, 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Khatab K, Khatatbeh MM, Khayamzadeh M, Khidri FF, Khorashadizadeh F, Khosla AA, Khosravi S, Khosrowjerdi M, Khubchandani J, Khusun H, Kim J, Kim K, Kim MS, Kim YJ, Kimokoti RW, Kisa A, Kishore L, Kivimäki M, Kokkorakis M, Kolahi AA, Kompani F, Korzh O, Kostev K, Koulmane Laxminarayana SL, Kretchy IA, Krishan K, Kua CH, Kuate Defo B, Kulimbet M, Kulkarni V, Kumar A, Kumar V, Kumar GA, Kundu S, Kunutsor SK, Kurmi OP, Kurniasari MD, Kusuma D, Kytö V, Lacey B, Lahariya C, Lai DTC, Lai H, Landires I, Larijani B, Latief K, La Vecchia C, Le NHH, Lee M, Lee SW, Lee WC, Lee SW, Lee PH, Li MC, Li Y, Li W, Lim SS, Lin Q, Lin J, Lindholm D, Lindstedt PA, Liu S, Llanaj E, López-Gil JF, Lorkowski S, Lucchetti G, Lugo A, Lutambi AM, Lv L, Lytvyak E, Ma ZF, Machoy M, Magaña Gómez JA, Maghbouli N, Mahalleh M, Mahmood NH, Mahmoudi E, Maiti R, Makris KCC, Malhotra K, Malik AA, Malik I, Malta DC, Mamun AA, Mansourian M, Manu E, Marateb HR, Marino M, Marjani A, Martinez-Piedra R, Martini S, Martorell M, 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Willeit P, Wojewodzic MW, Wonde TE, Wongsin U, Xia Q, Xie W, Xu S, Xu X, Yamagishi K, Yano Y, Yao H, Yarahmadi A, Yaribeygi H, Yesuf SA, Yin D, Yon DK, Yonemoto N, Yu C, Yuan CW, Yuce D, Yunusa I, Zaman SB, Zare I, Zastrozhin M, Zeariya MGM, Zhang X, Zhang L, Zhang J, Zhang Z, Zhang CJP, Zheng DX, Zheng P, Zhong A, Zhong CC, Zhou J, Zhu B, Zhumagaliuly A, Zielińska M, Zoghi G, Zou Z, Zweck E, Zyoud SH, Murray CJL, Sawyer SM, Vollset SE. Global, regional, and national prevalence of adult overweight and obesity, 1990-2021, with forecasts to 2050: a forecasting study for the Global Burden of Disease Study 2021. Lancet 2025; 405:813-838. [PMID: 40049186 PMCID: PMC11920007 DOI: 10.1016/s0140-6736(25)00355-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2024] [Revised: 12/06/2024] [Accepted: 02/20/2025] [Indexed: 03/10/2025]
Abstract
BACKGROUND Overweight and obesity is a global epidemic. Forecasting future trajectories of the epidemic is crucial for providing an evidence base for policy change. In this study, we examine the historical trends of the global, regional, and national prevalence of adult overweight and obesity from 1990 to 2021 and forecast the future trajectories to 2050. METHODS Leveraging established methodology from the Global Burden of Diseases, Injuries, and Risk Factors Study, we estimated the prevalence of overweight and obesity among individuals aged 25 years and older by age and sex for 204 countries and territories from 1990 to 2050. Retrospective and current prevalence trends were derived based on both self-reported and measured anthropometric data extracted from 1350 unique sources, which include survey microdata and reports, as well as published literature. Specific adjustment was applied to correct for self-report bias. Spatiotemporal Gaussian process regression models were used to synthesise data, leveraging both spatial and temporal correlation in epidemiological trends, to optimise the comparability of results across time and geographies. To generate forecast estimates, we used forecasts of the Socio-demographic Index and temporal correlation patterns presented as annualised rate of change to inform future trajectories. We considered a reference scenario assuming the continuation of historical trends. FINDINGS Rates of overweight and obesity increased at the global and regional levels, and in all nations, between 1990 and 2021. In 2021, an estimated 1·00 billion (95% uncertainty interval [UI] 0·989-1·01) adult males and 1·11 billion (1·10-1·12) adult females had overweight and obesity. China had the largest population of adults with overweight and obesity (402 million [397-407] individuals), followed by India (180 million [167-194]) and the USA (172 million [169-174]). The highest age-standardised prevalence of overweight and obesity was observed in countries in Oceania and north Africa and the Middle East, with many of these countries reporting prevalence of more than 80% in adults. Compared with 1990, the global prevalence of obesity had increased by 155·1% (149·8-160·3) in males and 104·9% (95% UI 100·9-108·8) in females. The most rapid rise in obesity prevalence was observed in the north Africa and the Middle East super-region, where age-standardised prevalence rates in males more than tripled and in females more than doubled. Assuming the continuation of historical trends, by 2050, we forecast that the total number of adults living with overweight and obesity will reach 3·80 billion (95% UI 3·39-4·04), over half of the likely global adult population at that time. While China, India, and the USA will continue to constitute a large proportion of the global population with overweight and obesity, the number in the sub-Saharan Africa super-region is forecasted to increase by 254·8% (234·4-269·5). In Nigeria specifically, the number of adults with overweight and obesity is forecasted to rise to 141 million (121-162) by 2050, making it the country with the fourth-largest population with overweight and obesity. INTERPRETATION No country to date has successfully curbed the rising rates of adult overweight and obesity. Without immediate and effective intervention, overweight and obesity will continue to increase globally. Particularly in Asia and Africa, driven by growing populations, the number of individuals with overweight and obesity is forecast to rise substantially. These regions will face a considerable increase in obesity-related disease burden. Merely acknowledging obesity as a global health issue would be negligent on the part of global health and public health practitioners; more aggressive and targeted measures are required to address this crisis, as obesity is one of the foremost avertible risks to health now and in the future and poses an unparalleled threat of premature disease and death at local, national, and global levels. FUNDING Bill & Melinda Gates Foundation.
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Iwu-Jaja CJ, Iyasu AN, Jacob L, Jaffar S, Jahrami H, Jain A, Jain R, Jairoun AA, Jakovljevic M, Javaid SS, Jayapal SK, Jayaram S, Jebasingh FK, Jee SH, Jema AT, Jeswani BM, Jonas JB, Joseph N, Joshua CE, Jozwiak JJ, Jürisson M, Kaambwa B, Kabir A, Kadashetti V, Kakkar AK, Kalra S, Kanaan SF, Kankam SB, Kanmanthareddy AR, Kanmodi KK, Kantar RS, Kar D, Karajizadeh M, Karakasis P, Karimi Behnagh A, Karimzadhagh S, Kassebaum NJ, Kauppila JH, Kayode GA, Kedir S, Kehagias D, Keshwani A, Kesse-Guyot E, Keykhaei M, Khajuria H, Khalili P, Khalilian A, Khalis M, Khan A, Khan M, Khan MAS, Khan MJ, Khan MAB, Khan MS, Khan N, Khanal V, Khanmohammadi S, Khatatbeh MM, Kheirkhah M, Khidri FF, Khokhar M, Khosla AA, Khosravi S, Khosrowjerdi M, Khusun H, Kim GR, Kim J, Kim J, Kim MS, Kim YJ, Kimokoti RW, Kisa A, Kishore L, KM S, Kokkorakis M, Kompani F, Korzh O, Kostev K, Koulmane Laxminarayana SL, Kretchy IA, Kua CH, Kuate Defo B, Kuddus M, Kulimbet M, Kulkarni V, Kumar GA, Kumar V, Kundu S, Kunutsor SK, Kurmi OP, Kurniasari MD, Kusuma D, Kytö V, La Vecchia C, Lacey B, Lahariya C, Lai DTC, Landires I, Larijani B, Lassi ZS, Le HTT, Le NHH, Lee HA, Lee M, Lee PH, Lee SW, Lee WC, Li A, Li MC, Li W, Li Y, Lim SS, Lin J, Lin Q, Lindholm D, Lindstedt PA, Liu J, Lo J, López-Gil JF, Lorkowski S, Lucchetti G, Lugo A, Lutambi AM, Ma ZF, Magaña Gómez JA, Maghbouli N, Mahalleh M, Mahmood NH, Majeed A, Makris KCC, Malakan Rad E, Malekzadeh R, Malhotra K, Malik AA, Malik I, Malta DC, Mamun AA, Manu E, Marateb HR, Marino M, Marjani A, Martinez-Piedra R, Martorell M, März W, Marzouk S, Masrouri S, Mathangasinghe Y, Matozinhos FP, Matthias T, Mattiello R, Maugeri A, Mazidi M, McPhail SM, Mechili EA, Medel Salas MP, Mehmood A, Mehrabani-Zeinabad K, Mekene Meto T, Meles HN, Mendoza W, Menezes RG, Mengistie EA, Meo SA, Mestrovic T, Mettananda CDK, Mettananda S, Miao H, Miller TR, Ming WK, Mirrakhimov EM, Misganaw A, Mitiku H, Mittal M, Mohamed J, Mohamed MG, Mohamed NS, Mohammad T, Mohammad-Alizadeh-Charandabi S, Mohammadian-Hafshejani A, Mohammadzadeh I, Mohammed S, Mokdad AH, Monasta L, Mondello S, Moni MA, Montazeri Namin S, Moodi Ghalibaf A, Moradi Y, Morrison SD, Motappa R, Mubarik S, Mulita F, Mullany EC, Munkhsaikhan Y, Murillo-Zamora E, Murray CJL, Musa S, Mustafa G, Muthu S, Mwita JC, Myung W, Nafiu AB, Nagel G, Naik GR, Naik H, Nambi G, Nangia V, Nargus S, Nascimento GG, Nassar M, Nauman J, Naureen Z, Navaratna SNK, Nawsherwan, Nayak BP, Nazri-Panjaki A, Negahdary M, Negoi I, Negoi RI, Nematollahi S, Nepal S, Netsere HB, Ng M, Ngunjiri JW, Nguyen D, Nguyen PT, Nguyen PT, Niazi RK, Nieddu L, Niknam M, Nikolouzakis TK, Nikoobar A, Nkeck JR, Nomura S, Noor STA, Noreen M, Noubiap JJ, Nouri M, Nri-Ezedi CA, Nugen F, Nuñez-Samudio V, Nur A, Nyande FK, Nzoputam CI, Oancea B, O'Connell EM, Odetokun IA, Ofakunrin AOD, Oguta JO, Oh IH, Okati-Aliabad H, Okeke SR, Okekunle AP, Okonji OC, Olagunju AT, Olalusi OV, Olasehinde TA, Oliveira AB, Oliveira GMM, Oluwafemi YD, Omar HA, Omar Bali A, Omer NA, Ong SK, Ordak M, Ortiz A, Osborne A, Osman WMS, Otoiu A, Oumer A, Ouyahia A, Owolabi MO, Owusu IA, Oyebola K, Oyelade T, P A MP, Padron-Monedero A, Padubidri JR, Palicz T, Panda SK, Panda-Jonas S, Pandey A, Pandi-Perumal SR, Pant S, Pardhan S, Parekh U, Parija PP, Parikh RR, Park EC, Passera R, Patel J, Patoulias D, Paudel S, Peprah P, Pereira M, Perico N, Perna S, Petcu IR, Petermann-Rocha FE, Pham HN, Pham TT, Pirouzpanah S, Polibin RV, Popovic DS, Potani I, Pourghazi F, Pourshams A, Pradhan J, Pradhan PMS, Prasad M, Prashant A, Prates EJS, Puvvula J, Qattea I, Qiao Y, Radhakrishnan V, Radojˇić MR, Raggi C, Rahman FM, Rahman MM, Rahman MHU, Rahman M, Rahman MA, Rahmanian M, Rahmanian V, Rahmati M, Rai RK, Raimondo I, Raj JP, Rajput P, Ramadan MM, Ramasamy C, Ramasamy SK, Ramazanu S, Rana K, Ranabhat CL, Rao M, Rao SJ, Rashedi S, Rashidi MM, Rasouli-Saravani A, Rathish D, Rauniyar SK, Rautalin I, Rawaf DL, Rawaf S, Redwan EMMM, Rege S, Rehman AU, Reis-Mendes A, Remuzzi G, Rezaei N, Rezaeian M, Rhee TG, Rocha-Gomes JR, Rodrigues da Silva TP, Rodriguez JAB, Roever L, Rohloff P, Romadlon DS, Rony MKK, Roshandel G, Rout HS, Roy N, Rwegerera GM, Saad AMA, Saber-Ayad MM, Sabzmakan L, Sadarangani KP, Saddik BA, Sadeghi M, Saeed U, Sagoe D, Saheb Sharif-Askari F, Sahebkar A, Sahoo SS, Sajadi SM, Sajid MR, Salami AA, Salaroli LB, Saleem S, Saleh MA, Salem MR, Salihu D, Salimi S, Samy AM, Santric-Milicevic MM, Sarkar T, Sarmadi M, Sarode GS, Sarode SC, Sassano M, Saulam J, Sawhney M, Saxena S, Saya GK, Schinckus C, Schmidt MI, Schuermans A, Selvaraj S, Sendekie AK, Sengupta P, Senol YC, Senthilkumaran S, Sepanlou SG, Sethi Y, Seylani A, Shafie M, Shah S, Shahid S, Shahwan MJ, Shamim MA, Shams-Beyranvand M, Shamsutdinova A, Shanawaz M, Shannawaz M, Sharath M, Sharifan A, Sharma M, Sharma U, Sharma V, Sheida F, Shenoy RR, Shetty PH, Shiferaw D, Shin MJ, Shirani Lapari M, Shiri R, Shittu A, Shool S, Shorofi SA, Shrestha G, Shrestha R, Shuval K, Si Y, Sibuyi NRS, Siddig EE, Siervo M, Silva DAS, Silva LMLR, Singh A, Singh B, Singh H, Singh JA, Singh K, Singh L, Singh M, Singh PS, Singh S, Skryabina AA, Smith AE, Smith G, Soliman SSM, Soraneh S, Spartalis M, Srichawla BS, Stanikzai MH, Starodubova AV, Straif K, Stubbs P, Subramaniyan V, Suleiman Odidi MO, Sulkowski A, Sultan Meo A, Sun Z, Sunny S, Sunuwar DR, Swain CK, Szarpak L, T Y SS, Tabarés-Seisdedos R, Tabatabaei SM, Tabatabaei Malazy O, Tabatabaeizadeh SA, Tabatabai S, Tabche C, Tabish M, Taiba J, Tampa M, Tamuzi JL, Tan KK, Tanwar M, Tariq S, Tat NY, Temsah MH, Temsah RMH, Teramoto M, Terefa DR, Tewari J, Thangaraju P, Thapar R, Thavamani A, Thirunavukkarasu S, Thomas J, Tiruneh SA, Tiruye TY, Titova MV, Tiwari K, Tomo S, Tonelli M, Touvier M, Tovani-Palone MR, Trabelsi K, Tran NH, Tran TH, Tran Minh Duc N, Trico D, Truyen TTTT, Tsegay GM, Tumurkhuu M, Tye SC, Udoakang AJ, Ullah A, Ullah S, Ullah S, Umair M, Umar L, Umar UM, Unim B, Upadhya D, Upadhyay E, Usman JS, Ustunsoz D, Vaezghasemi M, Vaithinathan AG, Van den Eynde J, Varghese J, Vasankari TJ, Vaziri S, Vellingiri B, Venketasubramanian N, Verma M, Verras GI, Villalobos-Daniel VE, Vladimirov SK, Vlassov V, Vollset SE, Vukovic R, Wahiduzzaman M, Wang C, Wang S, Wang X, Wang Y, Weerakoon KG, Wei FL, Wicaksana AL, Wickramasinghe DP, Wickramasinghe ND, Willeit P, Wojewodzic MW, Xia Q, Xiao G, Xie W, Xu S, Xu X, Yahya G, Yamagishi K, Yano Y, Yao H, Yarahmadi A, Yaribeygi H, Ye P, Yesuf SA, Yin D, Yon DK, Yonemoto N, Yu C, Yuan CW, Yuce D, Yunusa I, Zamagni G, Zastrozhin M, Zeariya MGM, Zhang CJP, Zhang H, Zhang J, Zhang L, Zhang X, Zhang Z, Zhao H, Zheng DX, Zhong A, Zhong CC, Zhou J, Zhu B, Zhumagaliuly A, Zielińska M, Zitoun OA, Zoghi G, Zou Z, Zyoud SH, Gakidou E, Sawyer SM, Azzopardi PS. Global, regional, and national prevalence of child and adolescent overweight and obesity, 1990-2021, with forecasts to 2050: a forecasting study for the Global Burden of Disease Study 2021. Lancet 2025; 405:785-812. [PMID: 40049185 PMCID: PMC11920006 DOI: 10.1016/s0140-6736(25)00397-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2024] [Revised: 11/13/2024] [Accepted: 02/24/2025] [Indexed: 03/10/2025]
Abstract
BACKGROUND Despite the well documented consequences of obesity during childhood and adolescence and future risks of excess body mass on non-communicable diseases in adulthood, coordinated global action on excess body mass in early life is still insufficient. Inconsistent measurement and reporting are a barrier to specific targets, resource allocation, and interventions. In this Article we report current estimates of overweight and obesity across childhood and adolescence, progress over time, and forecasts to inform specific actions. METHODS Using established methodology from the Global Burden of Diseases, Injuries, and Risk Factors Study 2021, we modelled overweight and obesity across childhood and adolescence from 1990 to 2021, and then forecasted to 2050. Primary data for our models included 1321 unique measured and self-reported anthropometric data sources from 180 countries and territories from survey microdata, reports, and published literature. These data were used to estimate age-standardised global, regional, and national overweight prevalence and obesity prevalence (separately) for children and young adolescents (aged 5-14 years, typically in school and cared for by child health services) and older adolescents (aged 15-24 years, increasingly out of school and cared for by adult services) by sex for 204 countries and territories from 1990 to 2021. Prevalence estimates from 1990 to 2021 were generated using spatiotemporal Gaussian process regression models, which leveraged temporal and spatial correlation in epidemiological trends to ensure comparability of results across time and geography. Prevalence forecasts from 2022 to 2050 were generated using a generalised ensemble modelling approach assuming continuation of current trends. For every age-sex-location population across time (1990-2050), we estimated obesity (vs overweight) predominance using the log ratio of obesity percentage to overweight percentage. FINDINGS Between 1990 and 2021, the combined prevalence of overweight and obesity in children and adolescents doubled, and that of obesity alone tripled. By 2021, 93·1 million (95% uncertainty interval 89·6-96·6) individuals aged 5-14 years and 80·6 million (78·2-83·3) aged 15-24 years had obesity. At the super-region level in 2021, the prevalence of overweight and of obesity was highest in north Africa and the Middle East (eg, United Arab Emirates and Kuwait), and the greatest increase from 1990 to 2021 was seen in southeast Asia, east Asia, and Oceania (eg, Taiwan [province of China], Maldives, and China). By 2021, for females in both age groups, many countries in Australasia (eg, Australia) and in high-income North America (eg, Canada) had already transitioned to obesity predominance, as had males and females in a number of countries in north Africa and the Middle East (eg, United Arab Emirates and Qatar) and Oceania (eg, Cook Islands and American Samoa). From 2022 to 2050, global increases in overweight (not obesity) prevalence are forecasted to stabilise, yet the increase in the absolute proportion of the global population with obesity is forecasted to be greater than between 1990 and 2021, with substantial increases forecast between 2022 and 2030, which continue between 2031 and 2050. By 2050, super-region obesity prevalence is forecasted to remain highest in north Africa and the Middle East (eg, United Arab Emirates and Kuwait), and forecasted increases in obesity are still expected to be largest across southeast Asia, east Asia, and Oceania (eg, Timor-Leste and North Korea), but also in south Asia (eg, Nepal and Bangladesh). Compared with those aged 15-24 years, in most super-regions (except Latin America and the Caribbean and the high-income super-region) a greater proportion of those aged 5-14 years are forecasted to have obesity than overweight by 2050. Globally, 15·6% (12·7-17·2) of those aged 5-14 years are forecasted to have obesity by 2050 (186 million [141-221]), compared with 14·2% (11·4-15·7) of those aged 15-24 years (175 million [136-203]). We forecasted that by 2050, there will be more young males (aged 5-14 years) living with obesity (16·5% [13·3-18·3]) than overweight (12·9% [12·2-13·6]); while for females (aged 5-24 years) and older males (aged 15-24 years), overweight will remain more prevalent than obesity. At a regional level, the following populations are forecast to have transitioned to obesity (vs overweight) predominance before 2041-50: children and adolescents (males and females aged 5-24 years) in north Africa and the Middle East and Tropical Latin America; males aged 5-14 years in east Asia, central and southern sub-Saharan Africa, and central Latin America; females aged 5-14 years in Australasia; females aged 15-24 years in Australasia, high-income North America, and southern sub-Saharan Africa; and males aged 15-24 years in high-income North America. INTERPRETATION Both overweight and obesity increased substantially in every world region between 1990 and 2021, suggesting that current approaches to curbing increases in overweight and obesity have failed a generation of children and adolescents. Beyond 2021, overweight during childhood and adolescence is forecast to stabilise due to further increases in the population who have obesity. Increases in obesity are expected to continue for all populations in all world regions. Because substantial change is forecasted to occur between 2022 and 2030, immediate actions are needed to address this public health crisis. FUNDING Bill & Melinda Gates Foundation and Australian National Health and Medical Research Council.
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Gustafson CR, Gitungwa H, Boron JB, Rose DJ. Personalizing product sets to individual health priorities increases the healthfulness of hypothetical food choices in US adults. Sci Rep 2025; 15:7981. [PMID: 40055447 DOI: 10.1038/s41598-025-92784-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2024] [Accepted: 03/03/2025] [Indexed: 03/12/2025] Open
Abstract
Recently, the potential for dietary personalization based on genetic/phenotypic characteristics to improve health has been studied. While promising, inputs into this biology-focused personalization process are intensive and may not align with an individual's own health priorities, which drive health behaviors. Here, we examine how personalizing food suggestions based on individuals' health priorities affects the healthiness of their food choices. We conducted a pre-registered experiment examining hypothetical food choices from three food categories in six conditions: (1) control, (2) health priority prime, (3) healthy product subset, (4) health priority prime + healthy product subset, (5) health priority prime + priority subset, and (6) health priority-based personalized product suggestions. Participants in conditions 2, 4, 5, and 6 first encountered a question asking them to select their top health priority from a list of options. In conditions 5, the subset of healthy items was described as foods beneficial for the selected health priority, while in condition 6, participants immediately saw the set of foods beneficial for the selected health priority, but had the option to see all foods instead. After making food choices, participants completed a survey with questions about the choice process, health priorities, and demographic variables. We used logistic regression to analyze the impact of condition on healthiness of food choices, and ordered logistic regression to examine the impact of condition on satisfaction with choices made. The experiment and survey were completed by 4171 adults (≥ 19 years) in the US, with the sample closely matching US distribution of age, sex, education, and income characteristics. There were no significant differences in the distribution of demographic characteristics among conditions. All intervention conditions significantly increased the likelihood that an individual chose a healthy food. However, interventions that combined priming with healthy subsets were significantly more effective than single interventions. Conditions that connected the healthy subsets to individuals' health priorities were particularly effective. The adjusted odds ratio (aOR) of selecting a healthy food was 4.77 (95% CI 4.12, 5.52) relative to the control condition when participants could view a subset described as helpful for their health priority. When people immediately viewed the personalized product set, the aOR increased to 11.67 (95% CI 0.1, 13,5). Likewise, analysis of nutrient content from food choices revealed that personalization decreased saturated fat, added sugar, and sodium and increased dietary fiber, potassium, iron, and calcium. However, product choice satisfaction was significantly lower in the personalized product set, which appears to be partially due to a tendency in this condition to forego choosing a product rather than selecting an unhealthy product. Personalization of product options based on individual health priorities should be tested in real-choice environments.
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Affiliation(s)
- Christopher R Gustafson
- Department of Agricultural Economics, University of Nebraska-Lincoln, 314A Filley Hall, Lincoln, NE, 68583-0922, USA.
| | - Henriette Gitungwa
- Department of Agricultural Economics, University of Nebraska-Lincoln, 314A Filley Hall, Lincoln, NE, 68583-0922, USA
| | - Julie B Boron
- Department of Gerontology, University of Nebraska-Omaha, Omaha, NE, 68182, USA
| | - Devin J Rose
- Department of Food Science and Technology, University of Nebraska-Lincoln, Lincoln, NE, 68588, USA
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE, 68583, USA
- Nebraska Food for Health Center, University of Nebraska-Lincoln, Lincoln, NE, 68588, USA
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Hansen BL, Deis T, Larsson JE, Ersbøll M, Rossing K, Schou M, Lim HS, Gustafsson F. Influence of Obesity on Invasive Hemodynamics and Prognosis in Patients With Heart Failure. JACC. HEART FAILURE 2025:S2213-1779(25)00087-3. [PMID: 40117394 DOI: 10.1016/j.jchf.2024.12.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2024] [Revised: 12/03/2024] [Accepted: 12/10/2024] [Indexed: 03/23/2025]
Abstract
BACKGROUND Previous studies have suggested that obesity may cause heart failure with preserved left ventricular ejection and report strong association between body mass index (BMI) and invasive hemodynamics. However, sparse information exists in patients who have heart failure with reduced ejection fraction (HFrEF). OBJECTIVES This study aimed to investigate associations between BMI and invasive hemodynamics in patients with HFrEF and the influence of obesity on clinical outcomes. METHODS Referred patients with HFrEF evaluated for advanced heart failure were studied. All patients had right heart catheterization performed. Obesity was defined as BMI ≥30 kg/m2. Clinical events included death, heart transplantation, and durable left ventricular assist device implantation. RESULTS The study population comprises 578 patients with a mean age of 52 ± 13 years and BMI of 26 ± 5 kg/m2. Patients with obesity (BMI range: 30-45 kg/m2) counted 126 (22%) and had significantly higher cardiac output and slightly higher central venous pressure compared to patients without obesity. Cardiac output increased by 89 mL/min per 1-U increase in BMI. Vascular resistances were significantly inversely related to BMI. Pulmonary arterial pressure and pulmonary capillary wedge pressure were not associated with BMI. In patients with obesity, symptoms seem to be dissociated from filling pressures and cardiac index, whereas a clear association is observed in patients without. Obesity did not predict survival over a median follow-up of 5.9 years (Q1-Q3: 2.0-10.1 years). CONCLUSIONS In patients with HFrEF, BMI and CO correlate significantly. Symptoms and hemodynamics appear dissociated in patients with obesity. Finally, survival in patients with obesity did not differ from those without.
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Affiliation(s)
| | - Tania Deis
- Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Denmark
| | - Johan E Larsson
- Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Denmark
| | - Mads Ersbøll
- Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Denmark
| | - Kasper Rossing
- Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Denmark
| | - Morten Schou
- Department of Cardiology, Herlev-Gentofte Hospital, Copenhagen University Hospital, Denmark
| | - Hoong Sern Lim
- Department of Cardiology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom; Institute of Cardiovascular Sciences, University of Birmingham, United Kingdom
| | - Finn Gustafsson
- Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Denmark
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Xu H, Xiao W, Ding C, Zou J, Zhou D, Wang J, Ding L, Jin C, Sun L, Li Y. Global burden of osteoarthritis among postmenopausal women in 204 countries and territories: a systematic analysis for the Global Burden of Disease Study 2021. BMJ Glob Health 2025; 10:e017198. [PMID: 40037907 DOI: 10.1136/bmjgh-2024-017198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2024] [Accepted: 01/23/2025] [Indexed: 03/06/2025] Open
Abstract
OBJECTIVES Our study aimed to provide global burden and temporal trends in the incidence, prevalence, and disability-adjusted life-years (DALYs) of osteoarthritis (OA) among postmenopausal women from 1990 to 2021. METHODS The study employed data from the Global Burden of Disease (GBD) Study 2021. Four subtypes of OA affecting the hip, knee, hand, and other joints among postmenopausal women were included. Age-standardised rates (ASRs) were derived with reference to the global age standard, and temporal patterns were scrutinised through estimated annual percentage change (EAPC) assessments. The impact of age, body mass index (BMI), and Socio-demographic Index (SDI) were all considered. RESULTS From 1990 to 2021, there were more than 1.3-fold increases in OA incidence, prevalence, and DALYs among postmenopausal women globally, with EAPCs of 0.211, 0.356, and 0.395, respectively. Knee OA carried the heaviest burden, while hip OA bore the least. Higher SDI regions had higher burden, and inequalities linked to SDI among countries had intensified over time. East Asia and high-income Asia Pacific experienced the most substantial increments in OA burden. High BMI significantly influences the burden of OA, especially in countries within high, high-middle, and middle SDI, where DALYs attributed to high BMI exceed 20%. CONCLUSIONS The burden of OA among postmenopausal women continues to escalate, highlighting its significant impact on the global health of postmenopausal women. Necessarily, effective monitoring and management of risk factors, targeted lifestyle adjustments for BMI, and policy interventions accounting for demographic disparities are required to ease OA in postmenopausal women.
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Affiliation(s)
- Huadong Xu
- School of Public Health, Hangzhou Medical College, Hangzhou, People's Republic of China
| | - Wenfeng Xiao
- Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Chan Ding
- Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Jiarong Zou
- Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Dan Zhou
- Zhejiang University School of Medicine, Hangzhou, China
| | - Jing Wang
- School of Public Health, Hangzhou Medical College, Hangzhou, People's Republic of China
| | - Lilu Ding
- School of Public Health, Hangzhou Medical College, Hangzhou, People's Republic of China
| | | | - Lingling Sun
- Department of Orthopaedics, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou, Zhejiang, China
| | - Yingjun Li
- School of Public Health, Hangzhou Medical College, Hangzhou, People's Republic of China
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Kim JM, Ra CH. Gamma-aminobutyric acid fermentation and its fermented extracts on α-glucosidase inhibition and anti-obesity effect. Bioprocess Biosyst Eng 2025; 48:437-444. [PMID: 39694912 DOI: 10.1007/s00449-024-03119-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2024] [Accepted: 12/10/2024] [Indexed: 12/20/2024]
Abstract
Levilactobacillus brevis KCL010 was fermented in a simple medium containing 8% (w/v) of rice bran extract. We modified the carbon, nitrogen, and initial pH conditions using 10 g/L of sucrose, 10 g/L of yeast extract, and 5.0 of pH, respectively. To minimize the pH increase due to decarboxylation, we fermented 100 mL of modified synthetic medium containing citrate-phosphate buffer (CPB, pH 5.0) of 25-200 mM in 250 mL Erlenmeyer flasks. After 72 h of fermentation with 50 mM CPB, the maximum GABA concentration and conversion efficiency were 3.42 g/L and 22.39%. Furthermore, the potential α-glucosidase inhibitory activity, MTT assay, and oil red O staining were determined by fermented extracts of L. brevis KCL010. At the highest concentration of 500 μg/mL, the α-glucosidase inhibition percentages for non-fermented rice bran (NFRB), rice bran fermented by L. brevis (RBFL), and GABA (analytical standard) extracts were 55.03%, 58.37%, and 59.48%, respectively. All extracts exceeded 80% viability, suggesting that there was no cytotoxic to 3T3-L1 adipocytes. The rice bran fermented by L. brevis (RBFL) extract shows a high inhibition of lipid accumulation by 29.33% compared to those of extracts.
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Affiliation(s)
- Ji Min Kim
- Department of Food Science and Biotechnology, College of Engineering, Global K-Food Research Center, Hankyong National University, Anseong-Si, 17579, Republic of Korea
| | - Chae Hun Ra
- Department of Food Science and Biotechnology, College of Engineering, Global K-Food Research Center, Hankyong National University, Anseong-Si, 17579, Republic of Korea.
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Ashaari S, Jamialahmadi T, Davies NM, Almahmeed W, Sahebkar A. Di (2-ethyl hexyl) phthalate and its metabolite-induced metabolic syndrome: a review of molecular mechanisms. Drug Chem Toxicol 2025; 48:325-343. [PMID: 39322993 DOI: 10.1080/01480545.2024.2405830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2024] [Revised: 09/06/2024] [Accepted: 09/13/2024] [Indexed: 09/27/2024]
Abstract
OBJECTIVES Metabolic disorders, as multifactorial disorders, are induced by genetic susceptibility and exposure to environmental chemicals. Di (2-ethyl hexyl) phthalate (DEHP), a ubiquitous plasticizer, is well known as an endocrine-disrupting chemical in living organisms. In recent decades, researchers have focused on the potential of DEHP and its main metabolite (Mono (2-ethylhexyl) phthalate) (MEHP) to induce metabolic disorders. In the present review, we aimed to summarize studies regarding DEHP and MEHP-induced Metabolic syndrome (MetS) as well as address the involved mechanisms. METHODS A search has been carried out in Google Scholar, PubMed, Scopus, and Web of Science databases using appropriate keywords including 'Metabolic syndrome' or 'Metabolic disorder' or 'Obesity' or 'Hyperglycemia' or 'Hyperlipidemia' or 'Hypertension' or 'Non-alcoholic fatty liver disease' and 'DEHP' or 'Di (2-ethyl hexyl) phthalate' or 'Bis(2-ethylhexyl) phthalate' or 'MEHP' or 'Mono (2-ethylhexyl) phthalate'. Studies were chosen based on inclusion and exclusion criteria. Inclusion criteria are in vitro, in vivo, epidemiological studies, and English-written studies. Exclusion criteria are lack of access to the full text of studies, editorial articles, review articles, and conference articles. RESULTS Animal studies indicate that DEHP and MEHP disrupt insulin hemostasis, increase glucose content, and induce hyperlipidemia and hypertension as well as obesity, which could lead to type 2 diabetes mellitus (T2DM) and cardiovascular disease (CVD). DEHP and its metabolite induce such effects directly through influence on nuclear receptors such as peroxisome proliferator-activated receptors (PPARs) or indirectly through reactive oxygen species (ROS) production. Both events led to the disruption of several molecular signaling pathways and subsequently metabolic syndrome (MetS). Furthermore, epidemiological studies showed that there was a correlation between DEHP metabolites levels and obesity, hyperglycemia, and hypertension. CONCLUSIONS According to studies, DEHP and its main metabolite have the potential to induce MetS by involving various molecular mechanisms. Epidemiological studies concerning the association of DEHP and MetS in humans are not sufficient. Therefore, more studies are needed in this regard.
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Affiliation(s)
- Sorour Ashaari
- Vice Chancellery for Research and Technology, Mazandaran University of Medical Sciences, Sari, Iran
| | - Tannaz Jamialahmadi
- Medical Toxicology Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
- Pharmaceutical Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Neal M Davies
- Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, Alberta, Canada
| | - Wael Almahmeed
- Heart and Vascular Institute, Cleveland Clinic Abu Dhabi, Abu Dhabi, United Arab Emirates
| | - Amirhossein Sahebkar
- Center for Global Health Research, Saveetha Medical College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India
- Biotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran
- Applied Biomedical Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
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Ardila V, Li H, Brunstein C, Kalaycio M, Sobecks R, Sauter CS, Hamilton BK. Impact of Obesity on GVHD in Patients Undergoing Allogeneic Hematopoietic Cell Transplant for Hematologic Malignancies. Transplant Cell Ther 2025; 31:178.e1-178.e9. [PMID: 39824502 DOI: 10.1016/j.jtct.2025.01.881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2024] [Revised: 01/04/2025] [Accepted: 01/11/2025] [Indexed: 01/20/2025]
Abstract
BACKGROUND The relationship between obesity and graft-versus-host disease (GVHD) has been studied in both preclinical and clinical studies with varying results. OBJECTIVES We aimed to investigate the impact of obesity, as measured by body mass index (BMI), on the incidence, severity, and response to therapy of GVHD in a contemporary cohort. STUDY DESIGN We conducted a retrospective study of patients undergoing allogeneic hematopoietic cell transplant (HCT) for acute myelogenous leukemia and myelodysplastic syndrome between January 2010 and December 2021 at the Cleveland Clinic. Incidence, grade, organ involvement, and response to therapy of acute and chronic GVHD were compared between patients with obesity (BMI ≥30) and without obesity. Secondary outcomes included relapse, nonrelapse mortality (NRM), and overall survival (OS). RESULTS 531 patients were identified, with a median follow-up of 19 months (range, 7-49). Mean (SD) BMI at time of HCT was 29.1 (6.3) kg/m2. There was no significant difference in demographic and HCT characteristics between patients with obesity (N = 199) and without obesity (N = 332). Development of any acute (42% versus 43%) or chronic (29% versus 30%) GVHD was similar in patients with and without obesity. Patients with obesity were less likely to have gastrointestinal involvement from chronic GVHD (28% versus 48%, P = .01). Skin (64% versus 56%), mouth (45% versus 35%) and eye (35% versus 27%) involvements were higher in patients with obesity, although statistically not significant. There were no significant differences in OS, NRM, or relapse. CONCLUSION There were no significant differences in incidence of GVHD among patients with and without obesity. Additional studies are needed to further understand potential differences in organ involvement.
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Affiliation(s)
- Valentina Ardila
- Internal Medicine Residency Program, Cleveland Clinic, Cleveland, Ohio
| | - Hong Li
- Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio
| | - Claudio Brunstein
- Blood and Marrow Transplant Program, Taussig Cancer Institute, Cleveland Clinic, Cleveland, Ohio
| | - Matt Kalaycio
- Blood and Marrow Transplant Program, Taussig Cancer Institute, Cleveland Clinic, Cleveland, Ohio
| | - Ronald Sobecks
- Blood and Marrow Transplant Program, Taussig Cancer Institute, Cleveland Clinic, Cleveland, Ohio
| | - Craig S Sauter
- Blood and Marrow Transplant Program, Taussig Cancer Institute, Cleveland Clinic, Cleveland, Ohio
| | - Betty K Hamilton
- Blood and Marrow Transplant Program, Taussig Cancer Institute, Cleveland Clinic, Cleveland, Ohio.
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