1
|
Hildebrand S, Pfeifer A. The obesity pandemic and its impact on non-communicable disease burden. Pflugers Arch 2025; 477:657-668. [PMID: 39924587 PMCID: PMC12003543 DOI: 10.1007/s00424-025-03066-8] [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: 12/14/2024] [Revised: 01/13/2025] [Accepted: 01/15/2025] [Indexed: 02/11/2025]
Abstract
The rising prevalence of overweight and obesity across the globe is a major threat both to public health and economic development. This is mainly due to the link of obesity with the development and outcomes of non-communicable diseases (NCDs). NCDs are a leading cause of global death and disability, and reducing the burden of NCDs on patients and healthcare systems is of critical importance to improve public health. Obesity is projected to be the number one preventable risk factor for NCDs by 2035, and there is an urgent need to tackle the growing obesity rates in order to reduce NCD incidence and severity. Here, we review the current understanding of the impact of obesity on NCD burden in general, as well as the epidemiological and mechanistic relationship between obesity and some of the most common classes of NCDs. By literature review, we found that over 70% of NCDs have a documented association with obesity, highlighting the importance of a better understanding of the pathophysiologies underlying obesity/overweight as well as the interaction between obesity and NCDs in order to reduce global disease burden.
Collapse
Affiliation(s)
- Staffan Hildebrand
- Institute of Pharmacology and Toxicology, University Hospital, University of Bonn, 53127, Bonn, Germany.
| | - Alexander Pfeifer
- Institute of Pharmacology and Toxicology, University Hospital, University of Bonn, 53127, Bonn, Germany.
- PharmaCenter Bonn, University of Bonn, Bonn, Germany.
| |
Collapse
|
2
|
Al Yazeedi B, Al-Haddabi B, Waly M, Al-Adawi S, Al-Mammari S, Al-Ghammari I, Al-Shammakhi S, Al-Azkawi H, Khalaf A. A cluster randomised controlled trial investigating the efficacy of family-centred obesity management program in primary care settings: A study protocol. Clin Obes 2025; 15:e12719. [PMID: 39510977 DOI: 10.1111/cob.12719] [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: 05/22/2024] [Revised: 10/23/2024] [Accepted: 10/24/2024] [Indexed: 11/15/2024]
Abstract
The study aims to test the efficacy of a family-centred healthy lifestyle program in primary care health centres among children with overweight or obesity, evaluating the results at 3, 6, and 9 months post-intervention. A single-blind, randomised controlled cluster study where participants will be blinded to group assignment to reduce bias will be followed. The intervention comprises a 6-month program with intensive and maintenance behavioural therapies, including dietary modifications and guidelines for physical activity, administered by a multidisciplinary team. Participants will be assigned to an intervention group or a treatment-as-usual control group. Primary health centres in Seeb Wilayat, serving densely populated areas and willing to participate, will be included. Randomisation will be conducted at the cluster level to improve recruitment efficiency. A sample size calculation will ensure adequate power to detect significant differences. Ethical approval is granted and informed consent/assent will be obtained from all participants. The proposed study focusses on testing the efficacy of a family-centred healthy lifestyle program in primary care centres through a controlled, randomised study. Successful outcomes could lead to informed interventions, improvements in the health system, policy recommendations, positive community impacts, information on behavioural therapies, and improved long-term health outcomes for affected children and their families. This study will contribute to the literature by providing a culturally sensitive and evidence-based solution to a pressing public health issue, which can be adapted to similar contexts in Oman and beyond.
Collapse
Affiliation(s)
- Basma Al Yazeedi
- Maternal and Child Health Department, College of Nursing, Sultan Qaboos University, Muscat, Oman
| | - Badriya Al-Haddabi
- Physical Education Department, College of Education, Sultan Qaboos University, Muscat, Oman
| | - Mostafa Waly
- Food Science and Nutrition Department, College of Agriculture and Marine Sciences, Sultan Qaboos University, Muscat, Oman
| | - Samir Al-Adawi
- Behavioral Medicine Department, College of Medicine and Health Sciences, Sultan Qaboos University, Muscat, Oman
| | | | | | | | - Hanan Al-Azkawi
- National Diabetes and Endocrine Centre, Royal Hospital, Muscat, Oman
| | - Atika Khalaf
- The PRO-CARE Group, Faculty of Health Science, Kristianstad University, Kristianstad, Sweden
- Department of Nursing, Fatima College of Health Sciences, Ajman, United Arab Emirates
| |
Collapse
|
3
|
Wharton S, Belloum A, Luckevich M, Kamran E, Luguzis A, Eberg M, Kukaswadia A, Neish CS, Capucci S, Varbo A, Morgen CS. Healthcare utilization associated with obesity management in Ontario, Canada. Clin Obes 2025; 15:e12720. [PMID: 39582393 DOI: 10.1111/cob.12720] [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: 01/17/2024] [Revised: 04/30/2024] [Accepted: 10/09/2024] [Indexed: 11/26/2024]
Abstract
This study aimed to describe the characteristics, healthcare resources utilized and costs incurred by adults receiving publicly funded obesity care in Ontario, Canada. People living with obesity who first visited Wharton Medical Clinic, a weight and diabetes management clinic in Ontario, between 2015 and 2018 were identified. Pseudoanonymized data were linked to administrative databases to understand healthcare utilization and costs borne by the public payer over 3 years. 6208 participants had linked data, 63.9% and 27.3% of whom remained followed one and two years after their first clinic visit, respectively. The cohort was 71.84% female with a mean (SD) age of 50.86 (13.28) years and BMI of 40.21 (7.06) kg/m2. Approximately 25% of participants were prescribed pharmacotherapy (liraglutide, orlistat, naltrexone/bupropion), 4% received psychological therapy and 2% had weight-loss surgery. Common obesity-related complications were hypertension (42.62%), musculoskeletal pain (35.20%) and dyslipidaemia (33.65%). Participants had 22.16 physician visits per person-year in year one, mostly to general practitioners and endocrinologists, which decreased to 17.38 visits per person-year by year three. Mean total costs (excluding privately covered prescriptions) per person-year decreased from $5227.25 (Canadian dollars) (SE: $0.97) to $4982.88 (SE: $2.16) over the same period. Participants were mostly female and presented with obesity-related complications. Although healthcare utilization and costs incurred by the cohort were high, both showed a decreasing trend over the follow-up period.
Collapse
Affiliation(s)
- Sean Wharton
- The Wharton Medical Clinic, Hamilton, Ontario, Canada
| | - Adel Belloum
- Novo Nordisk Canada Inc, Mississauga, Ontario, Canada
| | | | - Elham Kamran
- The Wharton Medical Clinic, Hamilton, Ontario, Canada
| | | | - Maria Eberg
- Real World Solutions, IQVIA Solutions Canada Inc, Kirkland, Quebec, Canada
| | - Atif Kukaswadia
- Real World Solutions, IQVIA Solutions Canada Inc, Mississauga, Ontario, Canada
| | - Calum S Neish
- Real World Solutions, IQVIA Solutions Canada Inc, Mississauga, Ontario, Canada
| | | | | | | |
Collapse
|
4
|
Sun L, Wang Z, Wang B, Jia Y, Zhao Q, Zhao J, Huang X. Body mass index impacts the lipid-lowing effects of statins in patients with type 2 diabetes. Front Cardiovasc Med 2025; 12:1493613. [PMID: 40013128 PMCID: PMC11861527 DOI: 10.3389/fcvm.2025.1493613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2024] [Accepted: 01/27/2025] [Indexed: 02/28/2025] Open
Abstract
Background Individuals diagnosed with type 2 diabetes mellitus (T2DM) commonly exhibit elevated lipid levels and an increased body mass index (BMI). The impact of BMI on the efficacy of statins in reducing lipid levels among diabetic patients remains uncertain. We aim to evaluate whether BMI will affect the lipid-lowing effects of statins in patients with T2DM. Methods In this retrospective analysis, we screened T2DM patients who were prescribed statins and underwent a 1-year outpatient follow-up recorded in the electronic medical record system. Patients were stratified into three groups: normal weight (BMI < 24 kg/m), overweight (24 kg/m2 ≤ BMI < 28 kg/m2), and obese (BMI ≥ 28 kg/m2). Lipid levels were assessed at two time points, and multivariate logistic regression analysis was used to identify factors influencing the reduction of low-density lipoprotein-cholesterol (LDL-C) levels and lipid control achievement. Results This study included 289 patients, with 82 in normal weigh, 143 in overweight, and 64 in obese. Overweight and obese patients were found to be younger than those with normal weight. Over the 1-year follow-up period, lipid levels decreased in all patients, with a significant reduction observed in LDL-C levels. Notably, obese patients experienced the highest reduction in LDL-C levels compared to the normal and overweight groups (normal weight group ΔLDL 0.78 ± 0.95 mmol/L, p < 0.001; overweight group ΔLDL 0.80 ± 0.88 mmol/L, p < 0.001; obese group ΔLDL 1.11 ± 0.82 mmol/L, p < 0.038). Obese patients exhibited a remarkable 42.02% reduction in LDL levels (normal 27.45%, overweight 30.64%). Multivariate logistic regression analysis indicated that achieving lipid control, defined as LDL < 2.6 mmol/L, was more likely in obese patients compared to those with normal weight [odds ratio [OR] 3.48, 95% confidence interval [CI]: 1.18, 10.21, p = 0.023]. Conclusions The effectiveness of statins in lowering lipid levels appears to be influenced by the patient's BMI in patients with T2DM. T2DM patients with high BMI may derive greater benefits, particularly in LDL reduction, from statin therapy.
Collapse
Affiliation(s)
- Lulu Sun
- Department of Endocrinology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Zhuo Wang
- Department of Cardiology, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Bai Wang
- Department of Cardiology, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, China
| | - Yuxiang Jia
- Department of Cardiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Qidi Zhao
- Department of Cardiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Jingjun Zhao
- Department of Cardiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Xingtao Huang
- Department of Cardiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| |
Collapse
|
5
|
Pan Q, Xu QY, Zhang LH, He YF. What is the role of nonalcoholic fatty liver disease in pulmonary carcinoma development? World J Gastroenterol 2025; 31:97500. [PMID: 39926215 PMCID: PMC11718604 DOI: 10.3748/wjg.v31.i5.97500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2024] [Revised: 11/02/2024] [Accepted: 12/09/2024] [Indexed: 12/30/2024] Open
Abstract
This article summarizes the epidemiological characteristics and clinical manifestations of nonalcoholic fatty liver disease (NAFLD). The incidence of NAFLD has been increased dramatically and become the leading cause of chronic liver disease worldwide. In addition to its adverse outcomes of liver fibrosis, cirrhosis, and hepatocellular carcinoma, and related complications, NAFLD has recently been found to be associated with the high-risk extrahepatic carcinomas, such as various types of lung cancer (i.e., lung adenocarcinoma, squamous cell carcinoma, and small cell lung cancer). The presence of hepatic steatosis also predisposes lung cancer to liver metastasis, but has better response to immune checkpoint inhibitors. Whether other factors (i.e., gender, smoking, etc.) are associated with NAFLD and lung cancer remains controversial. We also comment on the reciprocal relationships between NAFLD and components of metabolic syndrome. Most metabolic syndrome components are suggested to facilitate lung cancer development via activating insulin/insulin-like growth factor axis. In addition, suppressed anti-tumor immunity and accelerated tumor progression could be attributed to the cell-specific metabolic reprogramming in condition of high-fat diet and related obesity. These findings may reveal the role of NAFLD in pulmonary carcinoma and help develop new treatment strategies for this disease.
Collapse
Affiliation(s)
- Qin Pan
- Shanghai Institute of Pediatric Research, Shanghai Key Laboratory of Pediatric Gastroenterology and Nutrition, Xinhua Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai 200092, China
- Department of Gastroenterology, Xinhua Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai 200092, China
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - Qing-Yang Xu
- Department of Gastroenterology, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai 317000, Zhejiang Province, China
| | - Lang-Hua Zhang
- School of Medical Technology, Shanghai University of Medicine and Health Sciences, Shanghai 201318, China
| | - Ya-Fang He
- Department of Pediatric Respiratory, Xinhua Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai 200092, China
| |
Collapse
|
6
|
Rodrigues FDS, Jantsch J, de Farias Fraga G, Dias VS, Pereira Medeiros C, Wickert F, Schroder N, Giovernardi M, Guedes RP. Cannabidiol partially rescues behavioral, neuroinflammatory and endocannabinoid dysfunctions stemming from maternal obesity in the adult offspring. Neuropharmacology 2025; 262:110196. [PMID: 39447736 DOI: 10.1016/j.neuropharm.2024.110196] [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: 05/21/2024] [Revised: 10/15/2024] [Accepted: 10/19/2024] [Indexed: 10/26/2024]
Abstract
Maternal obesity is known to increase the risk of psychiatric disorders, such as anxiety, depression, schizophrenia and autism spectrum disorder in the offspring. While preventive measures are well-documented, practical approaches for addressing the damages once they are already established are limited. We have recently demonstrated the interplay between maternal obesity and treatment with cannabidiol (CBD) on neuroinflammation and peripheral metabolic disturbances during adolescence, however, it is known that both factors tend to vary throughout life. Therefore, here we investigated the potential of CBD to mitigate these alterations in the adult offspring of obese dams. Female Wistar rats were fed a cafeteria diet for 12 weeks prior to mating, and during gestation and lactation. Offspring received CBD (50 mg/kg) for 3 weeks from the 70th day of life. Behavioral tests assessed anxiety-like manifestations and social behavior, while neuroinflammatory and endocannabinoid markers were evaluated in the hypothalamus, prefrontal cortex (PFC) and hippocampus, as well as the biochemical profile in the plasma. CBD treatment attenuated maternal obesity-induced anxiety-like and social behavioral alterations, restoring exacerbated astrocytic and microglial markers in the hypothalamus, PFC and hippocampus of the offspring, as well as endocannabinoid levels in the PFC, with notable sex differences. Additionally, CBD attenuated plasma glucose and lipopolysaccharides (LPS) concentrations in females. These findings underscore the persistent influence of maternal obesity on the offspring's health, encompassing metabolic irregularities and behavioral impairments, as well as the role of the endocannabinoid system in mediating these outcomes across the lifespan.
Collapse
Affiliation(s)
- Fernanda da Silva Rodrigues
- Graduate Program in Biosciences, Federal University of Health Sciences of Porto Alegre (UFCSPA), 90050-170, Porto Alegre, Rio Grande do Sul, Brazil
| | - Jeferson Jantsch
- Graduate Program in Biosciences, Federal University of Health Sciences of Porto Alegre (UFCSPA), 90050-170, Porto Alegre, Rio Grande do Sul, Brazil
| | - Gabriel de Farias Fraga
- Graduate Program in Biosciences, Federal University of Health Sciences of Porto Alegre (UFCSPA), 90050-170, Porto Alegre, Rio Grande do Sul, Brazil
| | - Victor Silva Dias
- Undergraduate Program in Biomedical Sciences, Federal University of Health Sciences of Porto Alegre (UFCSPA), 90050-170, Porto Alegre, Rio Grande do Sul, Brazil
| | - Camila Pereira Medeiros
- Undergraduate Program in Biomedical Sciences, Federal University of Health Sciences of Porto Alegre (UFCSPA), 90050-170, Porto Alegre, Rio Grande do Sul, Brazil
| | - Fernanda Wickert
- Undergraduate Program in Biomedical Sciences, Federal University of Health Sciences of Porto Alegre (UFCSPA), 90050-170, Porto Alegre, Rio Grande do Sul, Brazil
| | - Nadja Schroder
- Department of Physiology, Institute of Basic Health Sciences (ICBS), Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil
| | - Marcia Giovernardi
- Graduate Program in Biosciences, Federal University of Health Sciences of Porto Alegre (UFCSPA), 90050-170, Porto Alegre, Rio Grande do Sul, Brazil; Graduate Program in Health Sciences, Federal University of Health Sciences of Porto Alegre (UFCSPA), Porto Alegre, 90050-170, Rio Grande do Sul, Brazil
| | - Renata Padilha Guedes
- Graduate Program in Biosciences, Federal University of Health Sciences of Porto Alegre (UFCSPA), 90050-170, Porto Alegre, Rio Grande do Sul, Brazil; Graduate Program in Health Sciences, Federal University of Health Sciences of Porto Alegre (UFCSPA), Porto Alegre, 90050-170, Rio Grande do Sul, Brazil.
| |
Collapse
|
7
|
Meulmeester FL, van Dijk KW, van Heemst D, Noordam R. Association of a composite trait for anthropometrics, adiposity and energy expenditure with cardiometabolic diseases: An age-stratified cohort and genetic risk score analysis. Diabetes Obes Metab 2024; 26:5922-5930. [PMID: 39355936 DOI: 10.1111/dom.15966] [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: 05/17/2024] [Revised: 09/06/2024] [Accepted: 09/06/2024] [Indexed: 10/03/2024]
Abstract
AIM Various anthropometric measures capture distinct as well as overlapping characteristics of an individual's body composition. To characterize independent body composition measures, we aimed to reduce easily-obtainable individual measures reflecting adiposity, anthropometrics and energy expenditure into fewer independent constructs, and to assess their potential sex- and age-specific relation with cardiometabolic diseases. METHODS Analyses were performed within European ancestry participants from UK Biobank (N = 418,963, mean age 58.0 years, 56% women). Principal components (PC) analyses were used for the dimension reduction of 11 measures of adiposity, anthropometrics and energy expenditure. PCs were studied in relation to incident type 2 diabetes mellitus (T2D) and coronary artery disease (CAD). Multivariable-adjusted Cox regression analyses, adjusted for confounding factors, were performed in all and stratified by age. Genome-wide association studies were performed in half of the cohort (N = 156,295) to identify genetic variants as instrumental variables. Genetic risk score analyses were performed in the other half of the cohort stratified by age of disease onset (N = 156,295). RESULTS We identified two PCs, of which PC1 reflected lower overall adiposity (negatively correlated with all adiposity aspects) and PC2 reflected more central adiposity (mainly correlated with higher waist-hip ratio, but with lower total body fat) and increased height, collectively capturing 87.8% of the total variance. Similar to that observed in the multivariable-adjusted regression analyses, we found associations between the PC1 genetic risk score and lower risks of CAD and T2D [CAD cases <50 years, odds ratio: 0.91 (95% confidence interval 0.87, 0.94) per SD; T2D cases <50 years, odds ratio: 0.76 (0.72, 0.81)], which attenuated with higher age (p-values 8.13E-4 and 2.41E-6, respectively). No associations were found for PC2. CONCLUSIONS The consistently observed weaker associations of the composite traits with cardiometabolic disease suggests the need for age-specific cardiometabolic disease prevention strategies.
Collapse
Affiliation(s)
- Fleur L Meulmeester
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands
| | - Ko Willems van Dijk
- Department of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands
- Department of Internal Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, the Netherlands
| | - Diana van Heemst
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands
| | - Raymond Noordam
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands
| |
Collapse
|
8
|
Kim MS, Lee I, Natarajan P, Do R, Kwon Y, Shin JI, Solmi M, Kim JY, Won HH, Park S. Integration of observational and causal evidence for the association between adiposity and 17 gastrointestinal outcomes: An umbrella review and meta-analysis. Obes Rev 2024; 25:e13823. [PMID: 39233338 DOI: 10.1111/obr.13823] [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: 11/08/2022] [Revised: 07/10/2024] [Accepted: 08/08/2024] [Indexed: 09/06/2024]
Abstract
We systematically reviewed observational and Mendelian randomization (MR) articles that evaluated the association between obesity and 17 gastrointestinal (GI) diseases to integrate causal and observational evidence. A total of 594 observational studies from 26 systematic reviews and meta-analyses and nine MR articles were included. For every 5 kg/m2 increase in body mass index (BMI), there was an increased risk of GI diseases ranging from 2% for rectal cancer (relative risk [RR]: 1.02, 95% confidence interval [CI]: 1.01 to 1.03) to 63% for gallbladder disease (RR: 1.63, 95% CI: 1.50 to 1.77). MR articles indicated that risks of developing GI diseases elevated with each 1 standard deviation increase in genetically predicted BMI, ranging from 11% for Crohn's disease to 189% for nonalcoholic fatty liver disease. Moreover, upper GI conditions were less susceptible, whereas hepatobiliary organs were more vulnerable to increased adiposity. Among the associations between obesity and the 17 GI conditions, causal relationships were inferred from only approximately half (10/17, 59%). This study reveals a substantial gap between observational and causal evidence, indicating that a combined approach is necessary to effectively inform public health policies and guide epidemiological research on obesity and GI diseases.
Collapse
Affiliation(s)
- Min Seo Kim
- Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Inhyeok Lee
- Division of Foregut Surgery, Korea University College of Medicine, Seoul, Republic of Korea
| | - Pradeep Natarajan
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Ron Do
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Yeongkeun Kwon
- Division of Foregut Surgery, Korea University College of Medicine, Seoul, Republic of Korea
| | - Jae Il Shin
- Department of Pediatrics, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Marco Solmi
- Department of Psychiatry, University of Ottawa, Ontario, Canada
- Department of Mental Health, The Ottawa Hospital, Ontario, Canada
- Ottawa Hospital Research Institute (OHRI) Clinical Epidemiology Program, University of Ottawa, Ontario, Canada
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Canada
- Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany
| | - Jong Yeob Kim
- Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea
| | - Hong-Hee Won
- Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea
- Samsung Genome Institute, Samsung Medical Center, Seoul, Republic of Korea
| | - Sungsoo Park
- Division of Foregut Surgery, Korea University College of Medicine, Seoul, Republic of Korea
| |
Collapse
|
9
|
Liu X, Huang Y, Lin C, Chen X, Huang Y, Wang X, Li Y, Wang Y. Life's Essential 8 and Mortality in US Adults With Obesity: A Cohort Study. Endocr Pract 2024; 30:1089-1096. [PMID: 39241965 DOI: 10.1016/j.eprac.2024.08.015] [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: 07/27/2024] [Revised: 08/27/2024] [Accepted: 08/28/2024] [Indexed: 09/09/2024]
Abstract
OBJECTIVE This study evaluates the relationship between the Life's Essential 8 (LE8) scoring system and all-cause and cause-specific mortality among obese individuals using National Health and Nutrition Examination Survey data. METHODS Data from 9143 obese participants (BMI ≥30 kg/m2) collected between 2005 and 2018 were analyzed. Participants were categorized based on their LE8 scores: low cardiovascular health (Low CVH, n = 2264), moderate cardiovascular health (Moderate CVH, n = 6541), and high cardiovascular health (High CVH, n = 338). Associations between LE8 scores and mortality were assessed using Kaplan-Meier survival analysis and Cox proportional hazards models. RESULTS Over a median follow-up of 7.3 years, there were 867 all-cause deaths (9.5%), including 246 cardiovascular disease (CVD) deaths (2.7%) and 621 non-CVD deaths (6.8%). In multivariable Cox regression analysis, compared to the Low CVH group, the Moderate CVH group had an adjusted hazard ratio (HR) for all-cause mortality of 0.63 (95% CI: 0.55-0.72), and the High CVH group had an HR of 0.25 (95% CI: 0.10-0.60). For CVD mortality, the HRs were 0.61 (95% CI: 0.47-0.78) for Moderate CVH and 0.19 (95% CI: 0.03-1.38) for High CVH. For non-CVD mortality, the HRs were 0.64 (95% CI: 0.54-0.75) for Moderate CVH and 0.27 (95% CI: 0.10-0.72) for High CVH. Each 10-point increase in LE8 score was associated with a 20% reduction in all-cause mortality (P < .001), 21% reduction in CVD mortality (P < .001), and 20% reduction in non-CVD mortality (P < .001). CONCLUSION Higher LE8 scores are significantly associated with lower rates of all-cause, CVD, and non-CVD mortality among obese individuals. These findings support the LE8 scoring system as an effective predictor of health status and mortality risk.
Collapse
Affiliation(s)
- Xiaoqiang Liu
- Department of Gastroenterology, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian Province, China
| | - Yingxuan Huang
- Department of Gastroenterology, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian Province, China
| | - Chanchan Lin
- Department of Gastroenterology, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian Province, China
| | - Xinqi Chen
- Department of Gastroenterology, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian Province, China
| | - Yisen Huang
- Department of Gastroenterology, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian Province, China
| | - Xinda Wang
- Department of Radiology, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian Province, China
| | - Yingyi Li
- Department of Gastroenterology, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian Province, China.
| | - Yubin Wang
- Department of Gastroenterology, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian Province, China.
| |
Collapse
|
10
|
Zhang J, Chen ZK, Triatin RD, Snieder H, Thio CHL, Hartman CA. Mediating pathways between attention deficit hyperactivity disorder and type 2 diabetes mellitus: evidence from a two-step and multivariable Mendelian randomization study. Epidemiol Psychiatr Sci 2024; 33:e54. [PMID: 39465621 PMCID: PMC11561680 DOI: 10.1017/s2045796024000593] [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: 11/22/2023] [Revised: 05/20/2024] [Accepted: 07/14/2024] [Indexed: 10/29/2024] Open
Abstract
AIMS Type 2 diabetes (T2D) is a global health burden, more prevalent among individuals with attention deficit hyperactivity disorder (ADHD) compared to the general population. To extend the knowledge base on how ADHD links to T2D, this study aimed to estimate causal effects of ADHD on T2D and to explore mediating pathways. METHODS We applied a two-step, two-sample Mendelian randomization (MR) design, using single nucleotide polymorphisms to genetically predict ADHD and a range of potential mediators. First, a wide range of univariable MR methods was used to investigate associations between genetically predicted ADHD and T2D, and between ADHD and the purported mediators: body mass index (BMI), childhood obesity, childhood BMI, sedentary behaviour (daily hours of TV watching), blood pressure (systolic blood pressure, diastolic blood pressure), C-reactive protein and educational attainment (EA). A mixture-of-experts method was then applied to select the MR method most likely to return a reliable estimate. We used estimates derived from multivariable MR to estimate indirect effects of ADHD on T2D through mediators. RESULTS Genetically predicted ADHD liability associated with 10% higher odds of T2D (OR: 1.10; 95% CI: 1.02, 1.18). From nine purported mediators studied, three showed significant individual mediation effects: EA (39.44% mediation; 95% CI: 29.00%, 49.73%), BMI (44.23% mediation; 95% CI: 34.34%, 52.03%) and TV watching (44.10% mediation; 95% CI: 30.76%, 57.80%). The combination of BMI and EA explained the largest mediating effect (53.31%, 95% CI: -1.99%, 110.38%) of the ADHD-T2D association. CONCLUSIONS These findings suggest a potentially causal, positive relationship between ADHD liability and T2D, with mediation through higher BMI, more TV watching and lower EA. Intervention on these factors may thus have beneficial effects on T2D risk in individuals with ADHD.
Collapse
Affiliation(s)
- J Zhang
- Department of Epidemiology, Unit of Genetic Epidemiology and Bioinformatics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Division of Communicable Disease Control and Prevention, Shenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong, China
| | - Z K Chen
- Department of Epidemiology, Unit of Genetic Epidemiology and Bioinformatics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - R D Triatin
- Department of Epidemiology, Unit of Genetic Epidemiology and Bioinformatics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Faculty of Medicine, Department of Biomedical Sciences, Universitas Padjadjaran, Bandung, Indonesia
| | - H Snieder
- Department of Epidemiology, Unit of Genetic Epidemiology and Bioinformatics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - C H L Thio
- Department of Epidemiology, Unit of Genetic Epidemiology and Bioinformatics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Department of Population Health Sciences, Institute for Risk Assessment Sciences, University of Utrecht, Utrecht, The Netherlands
| | - C A Hartman
- Interdisciplinary Centre Psychopathology and Emotion Regulation, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| |
Collapse
|
11
|
Li C, Huang H, Xia Q, Zhang L. Correlation between body mass index and gender-specific 28-day mortality in patients with sepsis: a retrospective cohort study. Front Med (Lausanne) 2024; 11:1462637. [PMID: 39440033 PMCID: PMC11493596 DOI: 10.3389/fmed.2024.1462637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2024] [Accepted: 09/17/2024] [Indexed: 10/25/2024] Open
Abstract
Objective To investigate the potential correlation between body mass index (BMI) and the 28-day mortality rate among sepsis patients and the gender difference in this association. Design The current research was a retrospective cohort study. Participants A total of 14,883 male and female cohorts of sepsis patients were included in the Medical Information Mart for Intensive Care IV (MIMIC-IV V2.2) database. Patients in each gender cohort were further classified as underweight, normal weight, overweight, or obese according to BMI and the World Health Organization (WHO) BMI categories. Outcomes The 28-day mortality from the date of ICU hospitalization was the primary outcome measure. Results The BMI and 28-day mortality exhibited an L-shaped relationship (p for nonlinearity <0.001) with significant gender-specific differences. Subgroup analysis revealed different association patterns between the male and female cohorts. Specifically, BMI and mortality exhibited a U-shaped curve relationship among the males (p for nonlinearity <0.001) and an L-shaped relationship among the females (p for nonlinearity = 0.045). Conclusion This study proposes a link between extreme BMI and 28-day mortality in patients with sepsis. Underweight patients have an increased risk of mortality; however, this risk decreases in overweight and obese patients. Upon stratifying by sex, a U-shaped pattern was observed, indicating an association between BMI and 28-day mortality in males, while an L-shaped pattern emerged in females.
Collapse
Affiliation(s)
- Chong Li
- Department of Osteoporosis, The First People’s Hospital of Kunshan Affiliated with Jiangsu University, Kunshan, China
| | - Huaping Huang
- Department of Graduate Office, The First People’s Hospital of Kunshan Affiliated with Jiangsu University, Kunshan, China
| | - Qingjie Xia
- Department of Anesthesiology, The First People’s Hospital of Kunshan Affiliated with Jiangsu University, Kunshan, China
| | - Li Zhang
- Department of Anesthesiology, The First People’s Hospital of Kunshan Affiliated with Jiangsu University, Kunshan, China
| |
Collapse
|
12
|
Bell JA, Carslake D, Hughes A, Tilling K, Dodd JW, Doidge JC, Harrison DA, Rowan KM, Davey Smith G. Adiposity and mortality among intensive care patients with COVID-19 and non-COVID-19 respiratory conditions: a cross-context comparison study in the UK. BMC Med 2024; 22:391. [PMID: 39272119 PMCID: PMC11401253 DOI: 10.1186/s12916-024-03598-3] [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: 10/22/2023] [Accepted: 08/29/2024] [Indexed: 09/15/2024] Open
Abstract
BACKGROUND Adiposity shows opposing associations with mortality within COVID-19 versus non-COVID-19 respiratory conditions. We assessed the likely causality of adiposity for mortality among intensive care patients with COVID-19 versus non-COVID-19 by examining the consistency of associations across temporal and geographical contexts where biases vary. METHODS We used data from 297 intensive care units (ICUs) in England, Wales, and Northern Ireland (Intensive Care National Audit and Research Centre Case Mix Programme). We examined associations of body mass index (BMI) with 30-day mortality, overall and by date and region of ICU admission, among patients admitted with COVID-19 (N = 34,701; February 2020-August 2021) and non-COVID-19 respiratory conditions (N = 25,205; February 2018-August 2019). RESULTS Compared with non-COVID-19 patients, COVID-19 patients were younger, less often of a white ethnic group, and more often with extreme obesity. COVID-19 patients had fewer comorbidities but higher mortality. Socio-demographic and comorbidity factors and their associations with BMI and mortality varied more by date than region of ICU admission. Among COVID-19 patients, higher BMI was associated with excess mortality (hazard ratio (HR) per standard deviation (SD) = 1.05; 95% CI = 1.03-1.07). This was evident only for extreme obesity and only during February-April 2020 (HR = 1.52, 95% CI = 1.30-1.77 vs. recommended weight); this weakened thereafter. Among non-COVID-19 patients, higher BMI was associated with lower mortality (HR per SD = 0.83; 95% CI = 0.81-0.86), seen across all overweight/obesity groups and across dates and regions, albeit with a magnitude that varied over time. CONCLUSIONS Obesity is associated with higher mortality among COVID-19 patients, but lower mortality among non-COVID-19 respiratory patients. These associations appear vulnerable to confounding/selection bias in both patient groups, questioning the existence or stability of causal effects.
Collapse
Affiliation(s)
- Joshua A Bell
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK.
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
| | - David Carslake
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Amanda Hughes
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Kate Tilling
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - James W Dodd
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Academic Respiratory Unit, Southmead Hospital, University of Bristol, Bristol, UK
| | - James C Doidge
- Intensive Care National Audit & Research Centre (ICNARC), London, UK
| | - David A Harrison
- Intensive Care National Audit & Research Centre (ICNARC), London, UK
| | - Kathryn M Rowan
- Intensive Care National Audit & Research Centre (ICNARC), London, UK
| | - George Davey Smith
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| |
Collapse
|
13
|
Babicki M. The Prevalence of Obesity and Metabolic Syndrome among Polish Women without Pre-Existing Cardiovascular Conditions and Diabetes: A Multicenter Study in Poland. J Clin Med 2024; 13:5014. [PMID: 39274227 PMCID: PMC11396086 DOI: 10.3390/jcm13175014] [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: 08/05/2024] [Revised: 08/21/2024] [Accepted: 08/22/2024] [Indexed: 09/16/2024] Open
Abstract
Background: A very prevalent problem worldwide is not only the high prevalence of chronic conditions but also the high frequency of their underdiagnosis and unhealthy lifestyles, both resulting in the development and inadequate treatment of civilization diseases. Therefore, the aim of this study was to assess the prevalence of abnormal metabolic parameters among Polish women aged >35 years who have not yet been diagnosed with cardiovascular diseases, diabetes or chronic kidney disease, as well as evaluate their lifestyles and look for relationships between individual lifestyle parameters and metabolic abnormalities. Methods: This was a multicenter, cross-sectional, observational study conducted on a group of women aged ≥ 35 years without previous cardiovascular disease, diabetes or chronic kidney disease. As part of the study, patients had anthropometric measurements and laboratory tests performed (serum glucose, total cholesterol, LDL, HDL, non-HDL cholesterol and triglycerides) and completed the HLPCQ (the Healthy Lifestyle and Personal Control Questionnaire). Obesity was defined as BMI ≥ 30 kg/m2. Abdominal obesity was defined as a waist circumference ≥ 88 cm. Results: The study included 672 women considered healthy. In the analyzed group of women, 20.6% met the criteria for a diagnosis of obesity based on BMI, and 36.8% were diagnosed with abdominal obesity. In addition, 16.8% of the women had an abnormal fasting blood glucose result. Moreover, 46.4% of the women's blood pressure measurements were above the normal range, and as many as 57.7% of the women had abnormal non-HDL levels. In addition, 150 women met the criteria for a diagnosis of metabolic syndrome. These conditions were far more common in women diagnosed with obesity. Physical activity was associated with a reduced risk of developing obesity and metabolic syndrome. Conclusions: The underdiagnosis of chronic conditions in the study population is high. More than 20% of women met the criteria for a diagnosis of metabolic syndrome, the prevalence of which was significantly higher in patients with obesity. A healthy lifestyle was associated with a reduced risk of developing metabolic syndrome and its individual components. It is necessary to actively search for chronic conditions in patients, which requires the involvement of not only healthcare system employees but also government representatives.
Collapse
Affiliation(s)
- Mateusz Babicki
- Department of Family Medicine, Faculty of Medicine, Wroclaw Medical University, 50-367 Wrocław, Poland
| |
Collapse
|
14
|
Frostdahl H, Ahmad N, Hammar U, Mora AM, Langner T, Fall T, Kullberg J, Ahlström H, Brooke HL, Ahmad S. The interaction of genetics and physical activity in the pathogenesis of metabolic dysfunction associated liver disease. Sci Rep 2024; 14:17817. [PMID: 39090170 PMCID: PMC11294342 DOI: 10.1038/s41598-024-68271-4] [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: 04/12/2024] [Accepted: 07/22/2024] [Indexed: 08/04/2024] Open
Abstract
Genetic variants associated with increased liver fat and volume have been reported, but whether physical activity (PA) can attenuate the impact of genetic susceptibility to these traits is poorly understood. We aimed to investigate whether higher PA modify genetic impact on liver-related traits in the UK Biobank cohort. PA was self-reported, while magnetic resonance images were used to estimate liver fat (n = 27,243) and liver volume (n = 24,752). Metabolic dysfunction-associated liver disease (MASLD) and chronic liver disease (CLD) were diagnosed using ICD-9 and ICD-10 codes. Ten liver fat and eleven liver volume-associated genetic variants were selected and unweighted genetic-risk scores for liver fat (GRSLF) and liver volume (GRSLV) were computed. Linear regression analyses were performed to explore interactions between GRSLF/ GRSLV and PA in relation to liver-related traits. Association between GRSLF and liver fat was not different among lower (β = 0.063, 95% CI 0.041-0.084) versus higher PA individuals (β = 0.065, 95% CI 0.054-0.077, pinteraction = 0.62). The association between the GRSLV and liver volume was not different across different PA groups (pinteraction = 0.71). Similarly, PA did not modify the effect of GRSLF and GRSLV on MASLD or CLD. Our findings show that physical activity and genetic susceptibility to liver-related phenotypes seem to act independently, benefiting all individuals regardless of genetic risk.
Collapse
Affiliation(s)
- Hanna Frostdahl
- Molecular Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Nouman Ahmad
- Radiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Ulf Hammar
- Molecular Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | | | - Taro Langner
- Radiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
- Antaros Medical AB, BioVenture Hub, Mölndal, Sweden
| | - Tove Fall
- Molecular Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Joel Kullberg
- Radiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
- Antaros Medical AB, BioVenture Hub, Mölndal, Sweden
| | - Håkan Ahlström
- Radiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
- Antaros Medical AB, BioVenture Hub, Mölndal, Sweden
| | - Hannah L Brooke
- Medical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Shafqat Ahmad
- Molecular Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
- Preventive Medicine Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| |
Collapse
|
15
|
Lassen FH, Venkatesh SS, Baya N, Hill B, Zhou W, Bloemendal A, Neale BM, Kessler BM, Whiffin N, Lindgren CM, Palmer DS. Exome-wide evidence of compound heterozygous effects across common phenotypes in the UK Biobank. CELL GENOMICS 2024; 4:100602. [PMID: 38944039 PMCID: PMC11293579 DOI: 10.1016/j.xgen.2024.100602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 03/11/2024] [Accepted: 06/07/2024] [Indexed: 07/01/2024]
Abstract
The phenotypic impact of compound heterozygous (CH) variation has not been investigated at the population scale. We phased rare variants (MAF ∼0.001%) in the UK Biobank (UKBB) exome-sequencing data to characterize recessive effects in 175,587 individuals across 311 common diseases. A total of 6.5% of individuals carry putatively damaging CH variants, 90% of which are only identifiable upon phasing rare variants (MAF < 0.38%). We identify six recessive gene-trait associations (p < 1.68 × 10-7) after accounting for relatedness, polygenicity, nearby common variants, and rare variant burden. Of these, just one is discovered when considering homozygosity alone. Using longitudinal health records, we additionally identify and replicate a novel association between bi-allelic variation in ATP2C2 and an earlier age at onset of chronic obstructive pulmonary disease (COPD) (p < 3.58 × 10-8). Genetic phase contributes to disease risk for gene-trait pairs: ATP2C2-COPD (p = 0.000238), FLG-asthma (p = 0.00205), and USH2A-visual impairment (p = 0.0084). We demonstrate the power of phasing large-scale genetic cohorts to discover phenome-wide consequences of compound heterozygosity.
Collapse
Affiliation(s)
- Frederik H Lassen
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.
| | - Samvida S Venkatesh
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
| | - Nikolas Baya
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
| | - Barney Hill
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
| | - Wei Zhou
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Analytical and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Alex Bloemendal
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Novo Nordisk Center for Genomic Mechanisms of Disease, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Benjamin M Neale
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Analytical and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Benedikt M Kessler
- Target Discovery Institute, Centre for Medicines Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Nicola Whiffin
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Cecilia M Lindgren
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK; Nuffield Department of Population Health, Medical Sciences Division, University of Oxford, Oxford, UK.
| | - Duncan S Palmer
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Nuffield Department of Population Health, Medical Sciences Division, University of Oxford, Oxford, UK.
| |
Collapse
|
16
|
Hezekiah C, Blakemore AI, Bailey DP, Pazoki R. Physical activity alters the effect of genetic determinants of adiposity on hypertension among individuals of European ancestry in the UKB. Scand J Med Sci Sports 2024; 34:e14636. [PMID: 38671551 PMCID: PMC11135603 DOI: 10.1111/sms.14636] [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: 01/25/2024] [Revised: 03/30/2024] [Accepted: 04/09/2024] [Indexed: 04/28/2024]
Abstract
Hypertension is a leading risk factor for cardiovascular disease and is modulated by genetic variants. This study aimed to assess the effect of obesity genetic liability and physical activity on hypertension among European and African ancestry individuals within the UK Biobank (UKB). Participants were 230 115 individuals of European ancestry and 3239 individuals of African ancestry from UKB. Genetic liability for obesity were estimated using previously published data including genetic variants and effect sizes for body mass index (BMI), waist-hip ratio (WHR) and waist circumference (WC) using Plink software. The outcome was defined as stage 2 hypertension (systolic blood pressure ≥ 140 mmHg, diastolic blood pressure ≥90 mmHg, or the use of anti-hypertensive medications). The association between obesity genetic liability and the outcome was assessed across categories of self-reported physical activity using logistic regression. Among European ancestry participants, there was up to a 1.2 greater odds of hypertension in individuals with high genetic liability and low physical activity compared to individuals with low genetic liability and high physical activity (p < 0.001). In individuals engaging in low levels of physical activity compared with moderate/high physical activity, the effect of BMI genetic liability on hypertension was greater (p interaction = 0.04). There was no evidence of an association between obesity genetic liability and hypertension in individuals of African ancestry in the whole sample or within separate physical activity groups (p > 0.05). This study suggests that higher physical activity levels are associated with lower odds of stage 2 hypertension among European ancestry individuals who carry high genetic liability for obesity. This cannot be inferred for individuals of African ancestry, possibly due to the low African ancestry sample size within the UKB.
Collapse
Affiliation(s)
- Chukwueloka Hezekiah
- Cardiovascular and Metabolic Research Group, Division of Biomedical Sciences, Department of Life Sciences, College of Health, Medicine and Life SciencesBrunel University LondonLondonUK
- Department of Mental Health, Faculty of Health, Science, Social Care and EducationKingston UniversitySurreyUK
| | - Alexandra I. Blakemore
- Department of Life Sciences, Centre for Cognitive Neuroscience, College of Health, Medicine and Life SciencesBrunel University LondonLondonUK
- Department of MetabolismDigestion and Reproduction, Imperial College LondonLondonUK
- School of MedicineUniversity of IrelandGalwayIreland
| | - Daniel P. Bailey
- Centre for Physical Activity in Health and Disease, College of Health, Medicine and Life SciencesBrunel University LondonUxbridgeUK
- Division of Sport, Health and Exercise Sciences, Department of Life SciencesBrunel University LondonUxbridgeUK
| | - Raha Pazoki
- Cardiovascular and Metabolic Research Group, Division of Biomedical Sciences, Department of Life Sciences, College of Health, Medicine and Life SciencesBrunel University LondonLondonUK
- Department of Epidemiology and Biostatistics, School of Public HealthImperial College LondonLondonUK
| |
Collapse
|
17
|
Oertel M, Ziegler CG, Kohlhaas M, Nickel A, Kloock S, Maack C, Sequeira V, Fassnacht M, Dischinger U. GLP-1 and PYY for the treatment of obesity: a pilot study on the use of agonists and antagonists in diet-induced rats. Endocr Connect 2024; 13:e230398. [PMID: 38300808 PMCID: PMC10895316 DOI: 10.1530/ec-23-0398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Accepted: 02/01/2024] [Indexed: 02/03/2024]
Abstract
Objective Combination therapies with gut hormone analogs represent promising treatment strategies for obesity. This pilot study investigates the therapeutic potential of modulators of the glucagon-like peptide 1 (GLP-1) and neuropeptide Y (NPY) system using GLP-1 receptor agonists (semaglutide) and antagonists (exendin 9-39), as well as non-selective and NPY-Y2-receptor selective peptide tyrosine tyrosine (PYY) analogs (PYY3-36/NNC0165-0020 and NNC0165-1273) and an NPY-Y2 receptor antagonist (JNJ31020028). Methods High-fat diet (HFD)-induced obese rats were randomized into following treatment groups: group 1, nonselective PYY analog + semaglutide (n = 4); group 2, non-selective and NPY-Y2 receptor selective PYY analog + semaglutide (n = 2); group 3, GLP-1 receptor antagonist + NPY-Y2 receptor antagonist (n = 3); group 4, semaglutide (n = 5); and group 5, control (n = 5). Animals had free access to HFD and low-fat diet. Food intake, HFD preference and body weight were measured daily. Results A combinatory treatment with a non-selective PYY analog and semaglutide led to a maximum body weight loss of 14.0 ± 4.9% vs 9.9 ± 1.5% with semaglutide alone. Group 2 showed a maximum weight loss of 20.5 ± 2.4%. While HFD preference was decreased in group 2, a strong increase in HFD preference was detected in group 3. Conclusions PYY analogs (especially NPY-Y2 selective receptor agonists) could represent a promising therapeutic approach for obesity in combination with GLP-1 receptor agonists. Additionally, combined GLP-1 and PYY3-36 receptor agonists might have beneficial effects on food preference.
Collapse
Affiliation(s)
- Marie Oertel
- Division of Endocrinology and Diabetes, Department of Internal Medicine, University Hospital, University of Würzburg, Würzburg, Germany
| | - Christian G Ziegler
- Division of Endocrinology and Diabetes, Department of Internal Medicine, University Hospital, University of Würzburg, Würzburg, Germany
- Department of Internal Medicine III, University Hospital Carl Gustav Carus Dresden, Dresden, Germany
| | | | | | - Simon Kloock
- Division of Endocrinology and Diabetes, Department of Internal Medicine, University Hospital, University of Würzburg, Würzburg, Germany
| | | | | | - Martin Fassnacht
- Division of Endocrinology and Diabetes, Department of Internal Medicine, University Hospital, University of Würzburg, Würzburg, Germany
| | - Ulrich Dischinger
- Division of Endocrinology and Diabetes, Department of Internal Medicine, University Hospital, University of Würzburg, Würzburg, Germany
- Comprehensive Heart Failure Center, Würzburg, Germany
| |
Collapse
|
18
|
Nagayoshi M, Hishida A, Shimizu T, Kato Y, Kubo Y, Okada R, Tamura T, Otonari J, Ikezaki H, Hara M, Nishida Y, Oze I, Koyanagi YN, Nakamura Y, Kusakabe M, Ibusuki R, Shibuya K, Suzuki S, Nishiyama T, Koyama T, Ozaki E, Kuriki K, Takashima N, Nakamura Y, Katsuura-Kamano S, Arisawa K, Nakatochi M, Momozawa Y, Takeuchi K, Wakai K. BMI and Cardiometabolic Traits in Japanese: A Mendelian Randomization Study. J Epidemiol 2024; 34:51-62. [PMID: 36709979 PMCID: PMC10751192 DOI: 10.2188/jea.je20220154] [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: 05/26/2022] [Accepted: 12/28/2022] [Indexed: 01/28/2023] Open
Abstract
BACKGROUND Although many observational studies have demonstrated significant relationships between obesity and cardiometabolic traits, the causality of these relationships in East Asians remains to be elucidated. METHODS We conducted individual-level Mendelian randomization (MR) analyses targeting 14,083 participants in the Japan Multi-Institutional Collaborative Cohort Study and two-sample MR analyses using summary statistics based on genome-wide association study data from 173,430 Japanese. Using 83 body mass index (BMI)-related loci, genetic risk scores (GRS) for BMI were calculated, and the effects of BMI on cardiometabolic traits were examined for individual-level MR analyses using the two-stage least squares estimator method. The β-coefficients and standard errors for the per-allele association of each single-nucleotide polymorphism as well as all outcomes, or odds ratios with 95% confidence intervals were calculated in the two-sample MR analyses. RESULTS In individual-level MR analyses, the GRS of BMI was not significantly associated with any cardiometabolic traits. In two-sample MR analyses, higher BMI was associated with increased risks of higher blood pressure, triglycerides, and uric acid, as well as lower high-density-lipoprotein cholesterol and eGFR. The associations of BMI with type 2 diabetes in two-sample MR analyses were inconsistent using different methods, including the directions. CONCLUSION The results of this study suggest that, even among the Japanese, an East Asian population with low levels of obesity, higher BMI could be causally associated with the development of a variety of cardiometabolic traits. Causality in those associations should be clarified in future studies with larger populations, especially those of BMI with type 2 diabetes.
Collapse
Affiliation(s)
- Mako Nagayoshi
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Asahi Hishida
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Tomonori Shimizu
- Undergraduate Course, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yasufumi Kato
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yoko Kubo
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Rieko Okada
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Takashi Tamura
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Jun Otonari
- Department of Psychosomatic Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Department of Psychosomatic Medicine, International University of Health and Welfare Narita Hospital, Chiba, Japan
| | - Hiroaki Ikezaki
- Department of General Internal Medicine, Kyushu University Hospital, Fukuoka, Japan
- Department of Comprehensive General Internal Medicine, Kyushu University Faculty of Medical Sciences, Fukuoka, Japan
| | - Megumi Hara
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan
| | - Yuichiro Nishida
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan
| | - Isao Oze
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Yuriko N. Koyanagi
- Division of Cancer Information and Control, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Yohko Nakamura
- Cancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Japan
| | - Miho Kusakabe
- Cancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Japan
| | - Rie Ibusuki
- Department of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Keiichi Shibuya
- Department of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
- Department of Emergency, Kagoshima Prefectural Oshima Hospital, Kagoshima, Japan
| | - Sadao Suzuki
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Takeshi Nishiyama
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Teruhide Koyama
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Etsuko Ozaki
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Kiyonori Kuriki
- Laboratory of Public Health, Division of Nutritional Sciences, School of Food and Nutritional Sciences, University of Shizuoka, Shizuoka, Japan
| | - Naoyuki Takashima
- Department of Public Health, Faculty of Medicine, Kindai University, Osaka, Japan
- Department of Public Health, Shiga University of Medical Science, Otsu, Japan
| | - Yasuyuki Nakamura
- Department of Public Health, Shiga University of Medical Science, Otsu, Japan
- Yamashina Racto Clinic and Medical Examination Center, Kyoto, Japan
| | - Sakurako Katsuura-Kamano
- Department of Preventive Medicine, Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima, Japan
| | - Kokichi Arisawa
- Department of Preventive Medicine, Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima, Japan
| | - Masahiro Nakatochi
- Public Health Informatics Unit, Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yukihide Momozawa
- Laboratory for Genotyping Development, Center for Integrative Medical Sciences, Kanagawa, Japan
| | - Kenji Takeuchi
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
- Department of International and Community Oral Health, Tohoku University Graduate School of Dentistry, Sendai, Japan
| | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| |
Collapse
|
19
|
Errisuriz VL, Zambrana RE, Parra-Medina D. Critical analyses of Latina mortality: disentangling the heterogeneity of ethnic origin, place, nativity, race, and socioeconomic status. BMC Public Health 2024; 24:190. [PMID: 38229037 PMCID: PMC10790397 DOI: 10.1186/s12889-024-17721-9] [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: 07/23/2023] [Accepted: 01/09/2024] [Indexed: 01/18/2024] Open
Abstract
Despite the significant body of research on social determinants of health (SDH) and mortality, limited knowledge is available on the epidemiology of aggregated Latino health overall, and by women and subgroups. In population health studies, U.S. Latinos often are considered a monolithic population and presented as an aggregate, obscuring the diversity and variations within and across Latino subgroups, contributing to missed opportunities to identify SDH of health outcomes, and limiting the understanding of health differences. Given diverse environmental, racial, class, and geographic factors, a specific focus on women facilitates a more in-depth view of health disparities. This paper provides a scoping review of current gaps in research that assesses the relationships between SDH and mortality rates for the five leading causes of chronic-disease related deaths among Latinas by ethnic origin, place, race, and SES. We analyzed 2020 national mortality statistics from the CDC WONDER Online database jointly with reviews of empirical articles on Latina health, employing the EBSCOhost MEDLINE databases. These findings challenge the phenomenon of the Hispanic paradox that identified Latinos as a relatively healthy population compared to non-Hispanic White populations despite their lower economic status. The findings confirm that prior research on Latino women had methodological limitations due to the exclusion of SDH and an overemphasis on culturalist perspectives, while overlooking the critical role of socioeconomic impacts on health. Findings indicate major knowledge gaps in Latina mortality by SDH and subgroups that may undermine surveillance efforts and treatment efficacy. We offer forward-looking recommendations to assure the inclusion of key SDH associated with Latina mortality by subgroup as essential to inform future studies, intervention programs, and health policy.
Collapse
Affiliation(s)
| | - Ruth Enid Zambrana
- Harriet Tubman Department of Women, Gender and Sexuality Studies, University of Maryland, Susquehanna Hall 4200 Lehigh Rd. Room 4117, College Park, MD, 20742, USA
| | - Deborah Parra-Medina
- Latino Research Institute, University of Texas at Austin, 210 W. 24th Street, GWB 1.102, Austin, TX, 78712, USA
| |
Collapse
|
20
|
Wang Y, Hua Y, Zhang H, Liang S, Cao Z, Chen L, Su Z, Zhang W. Ratio of waist circumference to body mass index: A novel predictor of clinical outcome in hypertension patients. J Clin Hypertens (Greenwich) 2024; 26:24-35. [PMID: 37864476 PMCID: PMC10795094 DOI: 10.1111/jch.14739] [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: 09/11/2023] [Revised: 10/05/2023] [Accepted: 10/13/2023] [Indexed: 10/22/2023]
Abstract
We aim to investigate the influence of waist circumference and body mass index (BMI) on all-cause death and cardiovascular-specific death in patients with hypertension. This prospective cohort study, based on waist circumference and body mass index measurements in patients with hypertension, provided risk estimates of all-cause mortality and cardiovascular events. The waist circumference-to-BMI ratio (WtBR) is an anthropometric measure integrating waist circumference and BMI. We utilized multivariable Cox regression analysis, restricted cubic spline model, Kaplan-Meier plot, random forest analysis, and sensitivity analysis to assess the relationship of WtBR with all-cause mortality. Subsequently, Fine-Gray competing risk regression models were applied to precisely evaluate the probability of cardiovascular-specific death attributed to high WtBR. The results indicate that thea deceased group showed significantly higher WtBR and lower BMI compared with the alive groups (P < .05), while no significant difference was observed in waist circumference (P = .373). When analyzed as continuous, the risk of all-cause death elevated with increasing WtBR in the adjusted model with an HR of 2.42 (95% CI, 2.06-2.85). The restricted cubic spline illustrated an elevated risk of all-cause mortality as WtBR increased (J-shaped curve). Nevertheless, WtBR showed no significant association with cardiovascular-specific death and the prediction model exhibited a reliable performance in the testing set. This study supported that WtBR, an anthropometric measure, is independently associated with all-cause death in hypertensive patients. It's advisable to routinely assess waist circumference in hypertensive patients regardless of BMI, in order to more effectively manage the risk of obesity-related health.
Collapse
Affiliation(s)
| | - Yang Hua
- Nanjing Medical UniversityNanjingChina
| | | | | | | | - Lu‐Lu Chen
- Department of Anatomy, Histology, and EmbryologyNanjing Medical UniversityNanjingChina
| | | | - Wei Zhang
- Department of Anatomy, Kangda CollegeNanjing Medical UniversityLianyungangJiangsuChina
| |
Collapse
|
21
|
Jang YJ, Choi MG, Yoo BJ, Lee KJ, Jung WB, Kim SG, Park SA. Interaction Between a High-Fat Diet and Tau Pathology in Mice: Implications for Alzheimer's Disease. J Alzheimers Dis 2024; 97:485-506. [PMID: 38108353 DOI: 10.3233/jad-230927] [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] [Indexed: 12/19/2023]
Abstract
BACKGROUND Obesity is a modifiable risk factor for Alzheimer's disease (AD). However, its relation with tau pathology (i.e., aberrant tau protein behavior in tauopathies such as AD) has been inconclusive. OBJECTIVE This study investigated the interaction between a high-fat diet (HFD) and tau pathology in adult male mice. METHODS Transgenic mice overexpressing human P301S Tau (those with the pathology) and wild-type (WT) littermates were subjected to behavioral tests, functional magnetic resonance imaging (fMRI), diffusion tensor imaging (DTI), and western blotting analysis to investigate the effects of prolonged HFD versus regular diet during adulthood. RESULTS HFD increased body weight in both WT and P301S mice but had minimal effect on blood glucose levels. The brain response to HFD was tau genotype-specific. WT mice exhibited decreased recognition memory and enhanced network connectivity in fMRI, while P301S mice exhibited white matter tract disorganization in DTI as the sole significant finding. The reduction of insulin receptor β, insulin downstream signaling, neuronal nuclear protein, CD68-positive phagocytic activity, and myelin basic protein level were confined to the cortex of WT mice. In contrast to P301S mice, WT mice showed significant changes in the tau protein and its phosphorylation levels along with increased soluble neurofilament light levels in the hippocampus. CONCLUSIONS HFD-induced brain dysfunction and pathological changes were blunted in mice with the pathology and more profound in healthy mice. Our findings highlight the need to consider this interaction between obesity and tau pathology when tailoring treatment strategies for AD and other tauopathies.
Collapse
Affiliation(s)
- Yu Jung Jang
- Lab for Neurodegenerative Dementia, Department of Anatomy, Ajou University School of Medicine, Suwon, Republic of Korea
- Neuroscience Graduate Program, Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Republic of Korea
| | - Min Gyu Choi
- Lab for Neurodegenerative Dementia, Department of Anatomy, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Byung Jae Yoo
- Lab for Neurodegenerative Dementia, Department of Anatomy, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Kyeong Jae Lee
- Lab for Neurodegenerative Dementia, Department of Anatomy, Ajou University School of Medicine, Suwon, Republic of Korea
- Neuroscience Graduate Program, Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Republic of Korea
| | - Won Beom Jung
- Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Suwon, Republic of Korea
| | - Seong-Gi Kim
- Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Suwon, Republic of Korea
- Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Republic of Korea
| | - Sun Ah Park
- Lab for Neurodegenerative Dementia, Department of Anatomy, Ajou University School of Medicine, Suwon, Republic of Korea
- Neuroscience Graduate Program, Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Republic of Korea
- Department of Neurology, Ajou University School of Medicine, Suwon, Republic of Korea
| |
Collapse
|
22
|
Morgan-Bathke M, Baxter SD, Halliday TM, Lynch A, Malik N, Raynor HA, Garay JL, Rozga M. Weight Management Interventions Provided by a Dietitian for Adults with Overweight or Obesity: An Evidence Analysis Center Systematic Review and Meta-Analysis. J Acad Nutr Diet 2023; 123:1621-1661.e25. [PMID: 35788061 DOI: 10.1016/j.jand.2022.03.014] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 03/04/2022] [Accepted: 03/21/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND Obesity is associated with a multitude of comorbidities and considerable health care costs. OBJECTIVE The objective of this review was to examine the efficacy of weight management interventions provided by a registered dietitian or international equivalent (referred to as "dietitian"). METHODS This systematic review and meta-analysis of randomized controlled trials (RCTs) examined the effect of weight management interventions provided by a dietitian, compared with usual care or no intervention, on several cardiometabolic outcomes and quality of life in adults with overweight or obesity. MEDLINE, Embase, PsycINFO, Cochrane CENTRAL, Cochrane Database of Systematic Reviews, and CINAHL databases were searched for eligible RCTs published between January 2008 and January 2021 in the English language. Meta-analyses were conducted using a random-effects model, publication bias was assessed using funnel plots and Egger's statistics, and heterogeneity was assessed by interpreting I2 values. Efficacy of intervention components, such as telehealth or group contacts, were explored in sub-group analyses. Version 2 of the risk-of-bias tool for RCTs was used to assess risk of bias. The Grading of Recommendations Assessment, Development and Evaluation method was used to determine certainty of evidence. RESULTS This systematic review included 62 RCTs. Compared with control conditions, weight management interventions provided by a dietitian resulted in improved body mass index (mean difference [MD] -1.5; 95% CI -1.74 to -1.26; moderate evidence certainty); percent weight loss (MD -4.01%; 95% CI -5.26% to -2.75%; high evidence certainty); waist circumference (MD -3.45 cm; 95% CI -4.39 to -2.51 cm; high evidence certainty); blood pressure (MD -3.04 mm Hg; 95% CI -5.10 to -0.98 mm Hg and MD -1.99 mm Hg; 95% CI -3.02 to -0.96 mm Hg for systolic blood pressure and diastolic blood pressure, respectively; moderate and low evidence certainty); and quality of life using the 36-Item Short Form Survey (MD 5.84; 95% CI 2.27 to 9.41 and 2.39; 95% CI 1.55 to 3.23 for physical and mental quality of life, respectively; low and moderate evidence certainty). CONCLUSIONS For adults with overweight or obesity, weight management interventions provided by a dietitian are efficacious for improving several examined cardiometabolic outcomes and quality of life.
Collapse
Affiliation(s)
| | | | - Tanya M Halliday
- Department of Health and Kinesiology, University of Utah, Salt Lake City, UT
| | - Amanda Lynch
- Department of Interdisciplinary Health Sciences, Oakland University, Rochester, MI
| | - Neal Malik
- Department of Health Science and Human Ecology, California State University, San Bernardino, San Bernardino, CA
| | - Hollie A Raynor
- College of Education, Health, and Human Sciences, University of Tennessee Knoxville, Knoxville, TN
| | - Jessica L Garay
- Department of Nutrition and Food Studies, Syracuse University, Syracuse NY
| | - Mary Rozga
- Academy of Nutrition and Dietetics, Chicago, IL.
| |
Collapse
|
23
|
Georgiou AN, Zagkos L, Markozannes G, Chalitsios CV, Asimakopoulos AG, Xu W, Wang L, Mesa‐Eguiagaray I, Zhou X, Loizidou EM, Kretsavos N, Theodoratou E, Gill D, Burgess S, Evangelou E, Tsilidis KK, Tzoulaki I. Appraising the Causal Role of Risk Factors in Coronary Artery Disease and Stroke: A Systematic Review of Mendelian Randomization Studies. J Am Heart Assoc 2023; 12:e029040. [PMID: 37804188 PMCID: PMC7615320 DOI: 10.1161/jaha.122.029040] [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: 02/02/2023] [Accepted: 06/27/2023] [Indexed: 10/09/2023]
Abstract
BACKGROUND Mendelian randomization (MR) offers a powerful approach to study potential causal associations between exposures and health outcomes by using genetic variants associated with an exposure as instrumental variables. In this systematic review, we aimed to summarize previous MR studies and to evaluate the evidence for causality for a broad range of exposures in relation to coronary artery disease and stroke. METHODS AND RESULTS MR studies investigating the association of any genetically predicted exposure with coronary artery disease or stroke were identified. Studies were classified into 4 categories built on the significance of the main MR analysis results and its concordance with sensitivity analyses, namely, robust, probable, suggestive, and insufficient. Studies reporting associations that did not perform any sensitivity analysis were classified as nonevaluable. We identified 2725 associations eligible for evaluation, examining 535 distinct exposures. Of them, 141 were classified as robust, 353 as probable, 110 as suggestive, and 926 had insufficient evidence. The most robust associations were observed for anthropometric traits, lipids, and lipoproteins and type 2 diabetes with coronary artery; disease and clinical measurements with coronary artery disease and stroke; and thrombotic factors with stroke. CONCLUSIONS Despite the large number of studies that have been conducted, only a limited number of associations were supported by robust evidence. Approximately half of the studies reporting associations presented an MR sensitivity analysis along with the main analysis that further supported the causality of associations. Future research should focus on more thorough assessments of sensitivity MR analyses and further assessments of mediation effects or nonlinearity of associations.
Collapse
Affiliation(s)
- Andrea N. Georgiou
- Department of Hygiene and EpidemiologyUniversity of Ioannina School of MedicineIoanninaGreece
| | - Loukas Zagkos
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
| | - Georgios Markozannes
- Department of Hygiene and EpidemiologyUniversity of Ioannina School of MedicineIoanninaGreece
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
| | - Christos V. Chalitsios
- Department of Hygiene and EpidemiologyUniversity of Ioannina School of MedicineIoanninaGreece
| | | | - Wei Xu
- Centre for Global Health, Usher InstituteThe University of EdinburghEdinburghUK
| | - Lijuan Wang
- Centre for Global Health, Usher InstituteThe University of EdinburghEdinburghUK
| | | | - Xuan Zhou
- Centre for Global Health, Usher InstituteThe University of EdinburghEdinburghUK
| | - Eleni M. Loizidou
- Department of Hygiene and EpidemiologyUniversity of Ioannina School of MedicineIoanninaGreece
- Biobank Cyprus Center of Excellence in Biobanking and Biomedical ResearchUniversity of CyprusNicosiaCyprus
| | - Nikolaos Kretsavos
- Department of Hygiene and EpidemiologyUniversity of Ioannina School of MedicineIoanninaGreece
| | - Evropi Theodoratou
- Centre for Global Health, Usher InstituteThe University of EdinburghEdinburghUK
- Cancer Research UK Edinburgh Centre, Institute of Genetics and CancerThe University of EdinburghEdinburghUK
| | - Dipender Gill
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
- Medical Research Council Biostatistics UnitUniversity of CambridgeCambridgeUK
| | - Stephen Burgess
- Medical Research Council Biostatistics UnitUniversity of CambridgeCambridgeUK
- Cardiovascular Epidemiology UnitUniversity of CambridgeCambridgeUK
| | - Evangelos Evangelou
- Department of Hygiene and EpidemiologyUniversity of Ioannina School of MedicineIoanninaGreece
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
- Department of Biomedical Research, Institute of Molecular Biology and BiotechnologyFoundation for Research and Technology‐HellasIoanninaGreece
| | - Konstantinos K. Tsilidis
- Department of Hygiene and EpidemiologyUniversity of Ioannina School of MedicineIoanninaGreece
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
| | - Ioanna Tzoulaki
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
- Centre for Systems Biology, Biomedical Research FoundationAcademy of AthensAthensGreece
| |
Collapse
|
24
|
Milkovska E, van Baal PH. Health outcomes in Bulgaria: Simulated effects of obesogenic environmental changes in adulthood versus childhood. Prev Med 2023; 175:107700. [PMID: 37690671 DOI: 10.1016/j.ypmed.2023.107700] [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: 05/17/2023] [Revised: 09/05/2023] [Accepted: 09/07/2023] [Indexed: 09/12/2023]
Abstract
OBJECTIVE Bulgarian government efforts to tackle obesity are focused mainly on guidelines affecting children. However, it is unclear whether targeting children for obesity-related health policies yields better long-term health outcomes as opposed to changing the risk of obesity in adulthood. This study aims to evaluate where policy efforts should be directed to alleviate the health burden associated with obesity. METHODS We compare the impact on population health of two simulated scenarios when (a) the prevalence of obesity upon entering adulthood is lowered; (b) the risk of getting an unhealthy weight as an adult is reduced. Additionally, we run (c) combinations of the two and (d) childhood obesity prevention on the one hand, and worsening (increasing) obesity incidence later in adulthood on the other. RESULTS Our findings show that obesogenic environmental changes throughout adulthood have a stronger effect on life expectancy (LE), diabetes-free life expectancy (DFLE) and type 2 diabetes prevalence outcomes compared to lowering the proportion of individuals with obesity during adolescence. Nevertheless, a sizable reduction in the number of young adults with unhealthy weight has the potential to recover years of LE/DFLE that would be lost if the risk of obesity in adulthood would continue to grow in time. CONCLUSIONS The two types of policies' (a-b) effects are not equivalent in strength and the best way forward is dependent on future obesity incidence trends.
Collapse
Affiliation(s)
- Elena Milkovska
- Erasmus School of Health Policy & Management (ESHPM), Department of Health Economics, Erasmus University Rotterdam, the Netherlands.
| | - Pieter Hm van Baal
- Erasmus School of Health Policy & Management (ESHPM), Department of Health Economics, Erasmus University Rotterdam, the Netherlands
| |
Collapse
|
25
|
Huang J, Gao T, Zhang H, Wang X. Association of obesity profiles and metabolic health status with liver injury among US adult population in NHANES 1999-2016. Sci Rep 2023; 13:15958. [PMID: 37749307 PMCID: PMC10519960 DOI: 10.1038/s41598-023-43028-7] [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: 06/28/2023] [Accepted: 09/18/2023] [Indexed: 09/27/2023] Open
Abstract
The combined effect of obesity and metabolic abnormalities on liver injury is unclear. Aiming to address this knowledge gap, this cross-sectional study was conducted among 16,201 US adults. Multiple linear regression and logistic regression analyses were conducted to assess the associations of obesity profiles, metabolic health status, and weight change with the levels of liver enzymes. The analysis revealed that general obesity and abdominal obesity were positively associated with the levels of liver enzymes and the prevalence of abnormal liver enzymes (P and Ptrend < 0.05). The associations remained significant in both metabolically healthy and metabolically unhealthy subgroups. Additionally, the liver injury index levels of the metabolically unhealthy participants were higher than those of the metabolically healthy individuals within the non-obese, overweight/pre-abdominal obesity, and general/abdominal obesity subgroups (P and Ptrend < 0.05). Furthermore, the subgroup characterized by general/abdominal obesity and metabolic dysfunction exhibited the most robust association with the liver injury index compared to all other subgroups examined. In addition, positive associations were observed between the 1-year and 10-year weight changes and the levels of liver injury indicators (P and Ptrend < 0.05). In conclusion, this study demonstrates that both obesity and metabolic impairment are independently associated with liver injury, and their combined presence have an additional adverse effect on liver health. These findings underscore the importance of addressing both obesity and metabolic dysfunction in order to mitigate the risk of liver injury.
Collapse
Affiliation(s)
- Jing Huang
- Department of Health and Management, Tangdu Hospital, Air Force Military Medical University, Xi'an, 710038, Shaanxi, China
| | - Tian Gao
- Department of Health and Management, Tangdu Hospital, Air Force Military Medical University, Xi'an, 710038, Shaanxi, China
| | - Huinan Zhang
- Department of Health and Management, Tangdu Hospital, Air Force Military Medical University, Xi'an, 710038, Shaanxi, China
| | - Xing Wang
- Department of Health and Management, Tangdu Hospital, Air Force Military Medical University, Xi'an, 710038, Shaanxi, China.
| |
Collapse
|
26
|
Abstract
Sex and gender are fundamental aspects of health and wellbeing. Yet many research studies fail to consider sex or gender differences, and even when they do this is often limited to merely cataloguing such differences in the makeup of study populations. The evidence on sex and gender differences is thus incomplete in most areas of medicine. This article presents a roadmap for the systematic conduct of sex- and gender-disaggregated health research. We distinguish three phases: the exploration of sex and gender differences in disease risk, presentation, diagnosis, treatment, and outcomes; explaining any found differences by revealing the underlying mechanisms; and translation of the implications of such differences to policy and practice. For each phase, we provide critical methodological considerations and practical examples are provided, taken primarily from the field of cardiovascular disease. We also discuss key overarching themes and terminology that are at the essence of any study evaluating the relevance of sex and gender in health. Here, we limit ourselves to binary sex and gender in order to produce a coherent, succinct narrative. Further disaggregation by sex and gender separately and which recognises intersex, non-binary, and gender-diverse identities, as well as other aspects of intersectionality, can build on this basic minimum level of disaggregation. We envision that uptake of this roadmap, together with wider policy and educational activities, will aid researchers to systematically explore and explain relevant sex and gender differences in health and will aid educators, clinicians, and policymakers to translate the outcomes of research in the most effective and meaningful way, for the benefit of all.
Collapse
Affiliation(s)
- Sanne A E Peters
- Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands.
- School of Public Health, The George Institute for Global Health, Imperial College London, London, UK.
- The George Institute for Global Health, University of New South Wales, Sydney, Australia.
| | - Mark Woodward
- School of Public Health, The George Institute for Global Health, Imperial College London, London, UK
- The George Institute for Global Health, University of New South Wales, Sydney, Australia
| |
Collapse
|
27
|
Khan I, Chong M, Le A, Mohammadi-Shemirani P, Morton R, Brinza C, Kiflen M, Narula S, Akhabir L, Mao S, Morrison K, Pigeyre M, Paré G. Surrogate Adiposity Markers and Mortality. JAMA Netw Open 2023; 6:e2334836. [PMID: 37728925 PMCID: PMC10512100 DOI: 10.1001/jamanetworkopen.2023.34836] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 08/15/2023] [Indexed: 09/22/2023] Open
Abstract
Importance Body mass index (BMI) is an easily obtained adiposity surrogate. However, there is variability in body composition and adipose tissue distribution between individuals with the same BMI, and there is controversy regarding the BMI associated with the lowest mortality risk. Objective To evaluate which of BMI, fat mass index (FMI), and waist-to-hip (WHR) has the strongest and most consistent association with mortality. Design, Setting, and Participant This cohort study used incident deaths from the UK Biobank (UKB; 2006-2022), which includes data from 22 clinical assessment centers across the United Kingdom. UKB British participants of British White ancestry (N = 387 672) were partitioned into a discovery cohort (n = 337 078) and validation cohort (n = 50 594), with the latter consisting of 25 297 deaths and 25 297 controls. The discovery cohort was used to derive genetically determined adiposity measures while the validation cohort was used for analyses. Exposure-outcome associations were analyzed through observational and mendelian randomization (MR) analyses. Exposures BMI, FMI, and WHR. Main Outcomes and Measures All-cause and cause-specific (cancer, cardiovascular disease [CVD], respiratory disease, or other causes) mortality. Results There were 387 672 and 50 594 participants in our observational (mean [SD] age, 56.9 [8.0] years; 177 340 [45.9%] male, 210 332 [54.2%], female), and MR (mean [SD] age, 61.6 [6.2] years; 30 031 [59.3%] male, 20 563 [40.6%], female) analyses, respectively. Associations between measured BMI and FMI with all-cause mortality were J-shaped, whereas the association of WHR with all-cause mortality was linear using the hazard ratio (HR) scale (HR per SD increase of WHR, 1.41 [95% CI, 1.38-1.43]). Genetically determined WHR had a stronger association with all-cause mortality than BMI (odds ratio [OR] per SD increase of WHR, 1.51 [95% CI, 1.32-1.72]; OR per SD increase of BMI, 1.29 [95% CI, 1.20-1.38]; P for heterogeneity = .02). This association was stronger in male than female participants (OR, 1.89 [95% CI, 1.54-2.32]; P for heterogeneity = .01). Unlike BMI or FMI, the genetically determined WHR-all-cause mortality association was consistent irrespective of observed BMI. Conclusions and Relevance In this cohort study, WHR had the strongest and most consistent association with mortality irrespective of BMI. Clinical recommendations should consider focusing on adiposity distribution compared with mass.
Collapse
Affiliation(s)
- Irfan Khan
- Population Health Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, Hamilton, Ontario, Canada
- Thrombosis and Atherosclerosis Research Institute, David Barley Cardiac, Vascular and Stroke Research, Hamilton, Ontario, Canada
- Department of Pathology and Molecular Medicine, Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Ontario, Canada
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
- College of Medicine and Health, University College Cork, Cork, Ireland
| | - Michael Chong
- Population Health Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, Hamilton, Ontario, Canada
- Thrombosis and Atherosclerosis Research Institute, David Barley Cardiac, Vascular and Stroke Research, Hamilton, Ontario, Canada
- Department of Pathology and Molecular Medicine, Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Ann Le
- Population Health Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, Hamilton, Ontario, Canada
- Thrombosis and Atherosclerosis Research Institute, David Barley Cardiac, Vascular and Stroke Research, Hamilton, Ontario, Canada
- Department of Pathology and Molecular Medicine, Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Pedrum Mohammadi-Shemirani
- Population Health Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, Hamilton, Ontario, Canada
- Thrombosis and Atherosclerosis Research Institute, David Barley Cardiac, Vascular and Stroke Research, Hamilton, Ontario, Canada
- Department of Pathology and Molecular Medicine, Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Robert Morton
- Population Health Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, Hamilton, Ontario, Canada
- Thrombosis and Atherosclerosis Research Institute, David Barley Cardiac, Vascular and Stroke Research, Hamilton, Ontario, Canada
- Department of Pathology and Molecular Medicine, Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Christina Brinza
- Population Health Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, Hamilton, Ontario, Canada
- Thrombosis and Atherosclerosis Research Institute, David Barley Cardiac, Vascular and Stroke Research, Hamilton, Ontario, Canada
- Department of Pathology and Molecular Medicine, Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Ontario, Canada
- School of Medicine, Queen’s University, Kingston, Ontario, Canada
| | - Michel Kiflen
- Population Health Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, Hamilton, Ontario, Canada
- Thrombosis and Atherosclerosis Research Institute, David Barley Cardiac, Vascular and Stroke Research, Hamilton, Ontario, Canada
- Department of Pathology and Molecular Medicine, Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Ontario, Canada
- Temerty Faculty of Medicine, University of Toronto, Medical Sciences Building, Toronto, Ontario, Canada
| | - Sukrit Narula
- Population Health Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, Hamilton, Ontario, Canada
- Thrombosis and Atherosclerosis Research Institute, David Barley Cardiac, Vascular and Stroke Research, Hamilton, Ontario, Canada
- Department of Pathology and Molecular Medicine, Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Ontario, Canada
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
- Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut
| | - Loubna Akhabir
- Population Health Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, Hamilton, Ontario, Canada
- Thrombosis and Atherosclerosis Research Institute, David Barley Cardiac, Vascular and Stroke Research, Hamilton, Ontario, Canada
- Department of Pathology and Molecular Medicine, Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Shihong Mao
- Population Health Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, Hamilton, Ontario, Canada
- Thrombosis and Atherosclerosis Research Institute, David Barley Cardiac, Vascular and Stroke Research, Hamilton, Ontario, Canada
- Department of Pathology and Molecular Medicine, Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Katherine Morrison
- Population Health Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, Hamilton, Ontario, Canada
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
- Centre for Metabolism, Obesity and Diabetes Research, McMaster University, Hamilton, Ontario, Canada
| | - Marie Pigeyre
- Population Health Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, Hamilton, Ontario, Canada
- Thrombosis and Atherosclerosis Research Institute, David Barley Cardiac, Vascular and Stroke Research, Hamilton, Ontario, Canada
- Department of Pathology and Molecular Medicine, Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Guillaume Paré
- Population Health Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, Hamilton, Ontario, Canada
- Thrombosis and Atherosclerosis Research Institute, David Barley Cardiac, Vascular and Stroke Research, Hamilton, Ontario, Canada
- Department of Pathology and Molecular Medicine, Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Ontario, Canada
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| |
Collapse
|
28
|
Liu Y, Qu Y, Cheng C, Tsai PY, Edwards K, Xue S, Pandit S, Eguchi S, Sanghera N, Barrow JJ. Nipsnap1-A regulatory factor required for long-term maintenance of non-shivering thermogenesis. Mol Metab 2023; 75:101770. [PMID: 37423391 PMCID: PMC10404556 DOI: 10.1016/j.molmet.2023.101770] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 06/29/2023] [Accepted: 06/30/2023] [Indexed: 07/11/2023] Open
Abstract
OBJECTIVE The activation of non-shivering thermogenesis (NST) has strong potential to combat obesity and metabolic disease. The activation of NST however is extremely temporal and the mechanisms surrounding how the benefits of NST are sustained once fully activated, remain unexplored. The objective of this study is to investigate the role of 4-Nitrophenylphosphatase Domain and Non-Neuronal SNAP25-Like 1 (Nipsnap1) in NST maintenance, which is a critical regulator identified in this study. METHODS The expression of Nipsnap1 was profiled by immunoblotting and RT-qPCR. We generated Nipsnap1 knockout mice (N1-KO) and investigated the function of Nipsnap1 in NST maintenance and whole-body metabolism using whole body respirometry analyses. We evaluate the metabolic regulatory role of Nipsnap1 using cellular and mitochondrial respiration assay. RESULTS Here, we show Nipsnap1 as a critical regulator of long-term thermogenic maintenance in brown adipose tissue (BAT). Nipsnap1 localizes to the mitochondrial matrix and increases its transcript and protein levels in response to both chronic cold and β3 adrenergic signaling. We demonstrated that these mice are unable to sustain activated energy expenditure and have significantly lower body temperature in the face of an extended cold challenge. Furthermore, when mice are exposed to the pharmacological β3 agonist CL 316, 243, the N1-KO mice exhibit significant hyperphagia and altered energy balance. Mechanistically, we demonstrate that Nipsnap1 integrates with lipid metabolism and BAT-specific ablation of Nipsnap1 leads to severe defects in beta-oxidation capacity when exposed to a cold environmental challenge. CONCLUSION Our findings identify Nipsnap1 as a potent regulator of long-term NST maintenance in BAT.
Collapse
Affiliation(s)
- Yang Liu
- Division of Nutritional Sciences, Cornell University, Ithaca, NY, 14850, USA
| | - Yue Qu
- Division of Nutritional Sciences, Cornell University, Ithaca, NY, 14850, USA
| | - Chloe Cheng
- Department of Veterinary Medicine, Cornell University, Ithaca, NY, 14850, USA
| | - Pei-Yin Tsai
- Division of Nutritional Sciences, Cornell University, Ithaca, NY, 14850, USA
| | - Kaydine Edwards
- Division of Nutritional Sciences, Cornell University, Ithaca, NY, 14850, USA
| | - Siwen Xue
- Division of Nutritional Sciences, Cornell University, Ithaca, NY, 14850, USA
| | - Supriya Pandit
- Division of Nutritional Sciences, Cornell University, Ithaca, NY, 14850, USA
| | - Sakura Eguchi
- Division of Nutritional Sciences, Cornell University, Ithaca, NY, 14850, USA
| | - Navneet Sanghera
- Department of Biological Sciences, San Jose State University, San Jose, CA, 95192, USA
| | - Joeva J Barrow
- Division of Nutritional Sciences, Cornell University, Ithaca, NY, 14850, USA.
| |
Collapse
|
29
|
Qian Y, Kong Y, Wan N, Yan Y. BMI at different childhood age periods associated with cardiometabolic disorders in young adulthood. Obesity (Silver Spring) 2023; 31:2365-2374. [PMID: 37553768 DOI: 10.1002/oby.23847] [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: 02/06/2023] [Revised: 05/25/2023] [Accepted: 05/28/2023] [Indexed: 08/10/2023]
Abstract
OBJECTIVE The aim of this study was to investigate when the association between childhood obesity and adult cardiometabolic disorders starts to be operative. METHODS The study cohort included 811 participants who had data on blood pressure, lipid profile, fasting blood glucose, fasting insulin, or alanine aminotransferase in adulthood and had at least one measurement of BMI in childhood. RESULTS Childhood BMI z score was significantly associated with increased risks of ≥1 cardiometabolic disorders, ≥2 cardiometabolic disorders, and elevated blood pressure in adulthood for age groups of 6 to 9 years, 10 to 12 years, 13 to 15 years, and 16 to 18 years, after adjustment for covariates. For low high-density lipoprotein cholesterol, significant associations were observed for age groups of 10 to 12 years, 13 to 15 years, and 16 to 18 years. For elevated triglyceride and elevated alanine aminotransferase, significant associations were observed for age groups of 13 to 15 years and 16 to 18 years. For insulin resistance, significant associations were observed for age groups of 10 to 12 years and 16 to 18 years. For elevated total cholesterol, elevated low-density lipoprotein cholesterol, or elevated fasting blood glucose, no association was observed in any age group. CONCLUSIONS The association between childhood BMI and adult cardiometabolic disorders begins to be operative from early life. These results support universal screening of childhood obesity starting at an early age.
Collapse
Affiliation(s)
- Yi Qian
- Department of Pediatrics, Beijing Jishuitan Hospital, Beijing, China
| | - Yawei Kong
- Center for Non-communicable Disease Management, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Naijun Wan
- Department of Pediatrics, Beijing Jishuitan Hospital, Beijing, China
| | - Yinkun Yan
- Center for Non-communicable Disease Management, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| |
Collapse
|
30
|
Chaudhry H, Ekhtiari S, Ravi B, Wadey V, Tomescu S, Murnaghan J, Mundi R. Sex-specific differences in 30-day outcomes following primary total hip replacement in 86,684 patients. Hip Int 2023; 33:828-832. [PMID: 35836327 DOI: 10.1177/11207000221110786] [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] [Indexed: 02/04/2023]
Abstract
INTRODUCTION Although differential outcomes based on sex are widespread in medicine and surgery, evaluation of sex-specific differences in the field of orthopaedic surgery in general - and arthroplasty in particular - are lacking. We hypothesised that morbidly obese male and female patients would have differing risks of surgical complications following primary total hip replacement. METHODS We reviewed data contained within the American College of Surgeons National Quality Improvement Program (ACS-NSQIP) database from 2015 through 2018, inclusive. A multivariable binary logistic regression model was used to determine the adjusted odds ratios (OR) of relevant variables on primary and secondary outcomes. RESULTS A total of 86,684 patients undergoing THR were identified, of whom 9972 patients (4095 male and 5877 female) were morbidly obese. Among morbidly obese patients, odds of surgical site infection were higher in females than males within 30 days of surgery (adjusted OR 1.40; 95% CI, 1.10-1.79; p = 0.007). This comprised the odds of both superficial infection (1.8% vs. 1.1%, adjusted OR 1.67; 95% CI, 1.16-2.40; p = 0.006) and deep infection (1.9% vs. 1.4%, adjusted OR 1.22; 95% CI, 0.88-1.68; p = 0.24). Unexpected return to the operating room (i.e., reoperation) within 30 days of the surgical procedure was also higher among females than males (4.2% vs. 3.1%, adjusted OR 1.38, 95% CI, 1.10-1.71, p = 0.005). There were no differences between male and female patients in the non-obese cohort. CONCLUSIONS Among patients with morbid obesity, the risk of surgical site infection and reoperation within the first 30 days is greater in women as compared to men. Future research must address whether this early increased risk among morbidly obese women persists in the longer term, and whether it results in compromised function or quality of life.
Collapse
Affiliation(s)
- Harman Chaudhry
- Division of Orthopaedic Surgery, Department of Surgery, University of Toronto, ON, Canada
| | - Seper Ekhtiari
- Division of Orthopaedic Surgery, Department of Surgery, McMaster University, Hamilton, ON, Canada
| | - Bheeshma Ravi
- Division of Orthopaedic Surgery, Department of Surgery, University of Toronto, ON, Canada
| | - Veronica Wadey
- Division of Orthopaedic Surgery, Department of Surgery, University of Toronto, ON, Canada
| | - Sebastian Tomescu
- Division of Orthopaedic Surgery, Department of Surgery, University of Toronto, ON, Canada
| | - John Murnaghan
- Division of Orthopaedic Surgery, Department of Surgery, University of Toronto, ON, Canada
| | - Raman Mundi
- Division of Orthopaedic Surgery, Department of Surgery, University of Toronto, ON, Canada
| |
Collapse
|
31
|
de Ruiter SC, Schmidt AF, Grobbee DE, den Ruijter HM, Peters SAE. Sex-specific Mendelian randomisation to assess the causality of sex differences in the effects of risk factors and treatment: spotlight on hypertension. J Hum Hypertens 2023; 37:602-608. [PMID: 37024639 PMCID: PMC10403357 DOI: 10.1038/s41371-023-00821-1] [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: 07/15/2022] [Revised: 02/24/2023] [Accepted: 03/16/2023] [Indexed: 04/08/2023]
Abstract
Hypertension is a key modifiable risk factor for cardiovascular disease. Several observational studies have found a stronger association of blood pressure and cardiovascular disease risk in women compared to men. Since observational studies can be affected by sex-specific residual confounding and reverse causation, it remains unclear whether these differences reflect actual differential effects. Other study designs are needed to uncover the causality of sex differences in the strength of risk factor and treatment effects. Mendelian randomisation (MR) uses genetic variants as instrumental variables to provide evidence about putative causal relations between risk factors and outcomes. By exploiting the random allocation of genes at gamete forming, MR is unaffected by confounding and results in more reliable causal effect estimates. In this review, we discuss why and how sex-specific MR and cis-MR could be used to study sex differences in risk factor and drug target effects. Sex-specific MR can be helpful to strengthen causal inferences in the field of sex differences, where it is often challenging to distinguish nature from nurture. The challenge of sex-specific (drug target) MR lays in leveraging robust genetic instruments from sex-specific GWAS studies which are not commonly available. Knowledge on sex-specific causal effects of hypertension, or other risk factors, could improve clinical practice and health policies by tailoring interventions based on personalised risk. Drug target MR can help to determine the anticipated on-target effects of a drug compound and to identify targets to pursue in drug development.
Collapse
Affiliation(s)
- Sophie C de Ruiter
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - A Floriaan Schmidt
- Department of Cardiology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
- Department of Cardiology, Division Heart and Lungs, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
- Institute of Cardiovascular Science, Faculty of Population Health, University College London, London, UK
- UCL British Heart Foundation Research Accelerator Centre, London, UK
| | - Diederick E Grobbee
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Hester M den Ruijter
- Laboratory of Experimental Cardiology, Division Heart and Lungs, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Sanne A E Peters
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
- The George Institute for Global Health, School of Public Health, Imperial College London, London, UK.
| |
Collapse
|
32
|
Kompaniyets L, Freedman DS, Belay B, Pierce SL, Kraus EM, Blanck HM, Goodman AB. Probability of 5% or Greater Weight Loss or BMI Reduction to Healthy Weight Among Adults With Overweight or Obesity. JAMA Netw Open 2023; 6:e2327358. [PMID: 37548978 PMCID: PMC10407685 DOI: 10.1001/jamanetworkopen.2023.27358] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 06/24/2023] [Indexed: 08/08/2023] Open
Abstract
Importance Information on the probability of weight loss among US adults with overweight or obesity is limited. Objective To assess the probability of 5% or greater weight loss, 10% or greater weight loss, body mass index (BMI) reduction to a lower BMI category, and BMI reduction to the healthy weight category among US adults with initial overweight or obesity overall and by sex and race. Design, Setting, and Participants This cohort study obtained data from the IQVIA ambulatory electronic medical records database. The sample consists of US ambulatory patients 17 years or older with at least 3 years of BMI information from January 1, 2009, to February 28, 2022. Minimum age was set at 17 years to allow for the change in BMI or weight starting at 18 years. Maximum age was censored at 70 years. Exposures Initial BMI (calculated as weight in kilograms divided by height in meters squared) category was the independent variable of interest, and the categories were as follows: lower than 18.5 (underweight), 18.5 to 24.9 (healthy weight), 25.0 to 29.9 (overweight), 30.0 to 34.9 (class 1 obesity), 35.0 to 39.9 (class 2 obesity), and 40.0 to 44.9 and 45.0 or higher (class 3 or severe obesity). Main Outcomes and Measures The 2 main outcomes were 5% or greater weight loss (ie, a ≥5% reduction in initial weight) and BMI reduction to the healthy weight category (ie, BMI of 18.5-24.9). Results The 18 461 623 individuals in the sample had a median (IQR) age of 54 (40-66) years and included 10 464 598 females (56.7%) as well as 7.7% Black and 72.3% White patients. Overall, 72.5% of patients had overweight or obesity at the initial visit. Among adults with overweight and obesity, the annual probability of 5% or greater weight loss was low (1 in 10) but increased with higher initial BMI (from 1 in 12 individuals with initial overweight to 1 in 6 individuals with initial BMI of 45 or higher). Annual probability of BMI reduction to the healthy weight category ranged from 1 in 19 individuals with initial overweight to 1 in 1667 individuals with initial BMI of 45 or higher. Both outcomes were generally more likely among females than males and were highest among White females. Over the 3 to 14 years of follow-up, 33.4% of persons with overweight and 41.8% of persons with obesity lost 5% or greater of their initial weight. At the same time, 23.2% of persons with overweight and 2.0% of persons with obesity reduced BMI to the healthy weight category. Conclusions and Relevance Results of this cohort study indicate that the annual probability of 5% or greater weight loss was low (1 in 10) despite the known benefits of clinically meaningful weight loss, but 5% or greater weight loss was more likely than BMI reduction to the healthy weight category, especially for patients with the highest initial BMIs. Clinicians and public health efforts can focus on messaging and referrals to interventions that are aimed at clinically meaningful weight loss (ie, ≥5%) for adults at any level of excess weight.
Collapse
Affiliation(s)
- Lyudmyla Kompaniyets
- Division of Nutrition, Physical Activity and Obesity, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - David S. Freedman
- Division of Nutrition, Physical Activity and Obesity, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Brook Belay
- Division of Nutrition, Physical Activity and Obesity, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Samantha L. Pierce
- Division of Nutrition, Physical Activity and Obesity, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Emily M. Kraus
- Division of Nutrition, Physical Activity and Obesity, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
- Public Health Informatics Institute, Taskforce for Global Health, Atlanta, Georgia
- Kraushold Consulting, Denver, Colorado
| | - Heidi M. Blanck
- Division of Nutrition, Physical Activity and Obesity, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Alyson B. Goodman
- Division of Nutrition, Physical Activity and Obesity, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| |
Collapse
|
33
|
Perez‐Cornago A, Smith‐Byrne K, Hazelwood E, Watling CZ, Martin S, Frayling T, Lewis S, Martin RM, Yaghootkar H, Travis RC, Key TJ. Genetic predisposition to metabolically unfavourable adiposity and prostate cancer risk: A Mendelian randomization analysis. Cancer Med 2023; 12:16482-16489. [PMID: 37305903 PMCID: PMC10469819 DOI: 10.1002/cam4.6220] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 05/24/2023] [Accepted: 05/30/2023] [Indexed: 06/13/2023] Open
Abstract
BACKGROUND The associations of adiposity with aggressive prostate cancer risk are unclear. Using two-sample Mendelian randomization, we assessed the association of metabolically unfavourable adiposity (UFA), favourable adiposity (FA) and for comparison body mass index (BMI), with prostate cancer, including aggressive prostate cancer. METHODS We examined the association of these genetically predicted adiposity-related traits with risk of prostate cancer overall, aggressive and early onset disease using outcome summary statistics from the PRACTICAL consortium (including 15,167 aggressive cases). RESULTS In inverse-variance weighted models, there was little evidence that genetically predicted one standard deviation higher UFA, FA and BMI were associated with aggressive prostate cancer [OR: 0.85 (95% CI:0.61-1.19), 0.80 (0.53-1.23) and 0.97 (0.88-1.08), respectively]; these associations were largely consistent in sensitivity analyses accounting for horizontal pleiotropy. There was no strong evidence that genetically determined UFA, FA or BMI were associated with overall prostate cancer or early age of onset prostate cancer. CONCLUSIONS We did not find differences in the associations of UFA and FA with prostate cancer risk, which suggest that adiposity is unlikely to influence prostate cancer via the metabolic factors assessed; however, these did not cover some aspects related to metabolic health that may link obesity with aggressive prostate cancer, which should be explored in future studies.
Collapse
Affiliation(s)
- Aurora Perez‐Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population HealthUniversity of OxfordOxfordUK
| | - Karl Smith‐Byrne
- Cancer Epidemiology Unit, Nuffield Department of Population HealthUniversity of OxfordOxfordUK
| | - Emma Hazelwood
- MRC Integrative Epidemiology UnitUniversity of BristolBristolUK
- Population Health Sciences, Bristol Medical SchoolUniversity of BristolBristolUK
| | - Cody Z. Watling
- Cancer Epidemiology Unit, Nuffield Department of Population HealthUniversity of OxfordOxfordUK
| | - Susan Martin
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Research, Innovation, Learning and Development building, Royal Devon & Exeter HospitalExeterUK
| | - Timothy Frayling
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Research, Innovation, Learning and Development building, Royal Devon & Exeter HospitalExeterUK
| | - Sarah Lewis
- MRC Integrative Epidemiology UnitUniversity of BristolBristolUK
- Population Health Sciences, Bristol Medical SchoolUniversity of BristolBristolUK
| | - Richard M. Martin
- Population Health Sciences, Bristol Medical SchoolUniversity of BristolBristolUK
- NIHR Bristol Biomedical Research CentreUniversity Hospitals Bristol and Weston NHS Foundation Trust and the University of BristolBristolUK
| | - Hanieh Yaghootkar
- Centre for Inflammation Research and Translational Medicine (CIRTM), Department of Life SciencesBrunel University LondonUxbridgeUK
- Research Centre for Optimal Health, School of Life SciencesUniversity of WestminsterLondonUK
| | - Ruth C. Travis
- Cancer Epidemiology Unit, Nuffield Department of Population HealthUniversity of OxfordOxfordUK
| | - Timothy J. Key
- Cancer Epidemiology Unit, Nuffield Department of Population HealthUniversity of OxfordOxfordUK
| |
Collapse
|
34
|
Lassen FH, Venkatesh SS, Baya N, Zhou W, Bloemendal A, Neale BM, Kessler BM, Whiffin N, Lindgren CM, Palmer DS. Exome-wide evidence of compound heterozygous effects across common phenotypes in the UK Biobank. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.06.29.23291992. [PMID: 37461573 PMCID: PMC10350147 DOI: 10.1101/2023.06.29.23291992] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 07/27/2023]
Abstract
Exome-sequencing association studies have successfully linked rare protein-coding variation to risk of thousands of diseases. However, the relationship between rare deleterious compound heterozygous (CH) variation and their phenotypic impact has not been fully investigated. Here, we leverage advances in statistical phasing to accurately phase rare variants (MAF ~ 0.001%) in exome sequencing data from 175,587 UK Biobank (UKBB) participants, which we then systematically annotate to identify putatively deleterious CH coding variation. We show that 6.5% of individuals carry such damaging variants in the CH state, with 90% of variants occurring at MAF < 0.34%. Using a logistic mixed model framework, systematically accounting for relatedness, polygenic risk, nearby common variants, and rare variant burden, we investigate recessive effects in common complex diseases. We find six exome-wide significant (P < 1.68 × 10 - 7 ) and 17 nominally significant (P < 5.25 × 10 - 5 ) gene-trait associations. Among these, only four would have been identified without accounting for CH variation in the gene. We further incorporate age-at-diagnosis information from primary care electronic health records, to show that genetic phase influences lifetime risk of disease across 20 gene-trait combinations (FDR < 5%). Using a permutation approach, we find evidence for genetic phase contributing to disease susceptibility for a collection of gene-trait pairs, including FLG-asthma (P = 0.00205 ) and USH2A-visual impairment (P = 0.0084 ). Taken together, we demonstrate the utility of phasing large-scale genetic sequencing cohorts for robust identification of the phenome-wide consequences of compound heterozygosity.
Collapse
Affiliation(s)
- Frederik H. Lassen
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom
| | - Samvida S. Venkatesh
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom
| | - Nikolas Baya
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom
| | - Wei Zhou
- Program in Medical and Population Genetics Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Stanley Center for Psychiatric Research Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytical and Translational Genetics Unit, Department of Medicine Massachusetts General Hospital, Boston, MA, USA
| | - Alex Bloemendal
- Program in Medical and Population Genetics Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Novo Nordisk Center for Genomic Mechanisms of Disease Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Data Sciences Platform Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Benjamin M. Neale
- Program in Medical and Population Genetics Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Stanley Center for Psychiatric Research Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytical and Translational Genetics Unit, Department of Medicine Massachusetts General Hospital, Boston, MA, USA
| | - Benedikt M. Kessler
- Target Discovery Institute, Centre for Medicines Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Nicola Whiffin
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom
- Program in Medical and Population Genetics Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Cecilia M. Lindgren
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom
- Nuffield Department of Population Health Health, Medical Sciences Division University of Oxford, Oxford, United Kingdom
| | - Duncan S. Palmer
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom
| |
Collapse
|
35
|
Liu J, Xu H, Cupples LA, O' Connor GT, Liu CT. The impact of obesity on lung function measurements and respiratory disease: A Mendelian randomization study. Ann Hum Genet 2023; 87:174-183. [PMID: 37009668 PMCID: PMC10293090 DOI: 10.1111/ahg.12506] [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: 02/08/2022] [Revised: 02/27/2023] [Accepted: 03/02/2023] [Indexed: 04/04/2023]
Abstract
INTRODUCTION Observational studies have shown that body mass index (BMI) and waist-to-hip ratio (WHR) are both inversely associated with lung function, as assessed by forced vital capacity (FVC) and forced expiratory volume in 1 s (FEV1). However, observational data are susceptible to confounding and reverse causation. METHODS We selected genetic instruments based on their relevant large-scale genome-wide association studies. Summary statistics of lung function and asthma came from the UK Biobank and SpiroMeta Consortium meta-analysis (n = 400,102). After examining pleiotropy and removing outliers, we applied inverse-variance weighting to estimate the causal association of BMI and BMI-adjusted WHR (WHRadjBMI) with FVC, FEV1, FEV1/FVC, and asthma. Sensitivity analyses were performed using weighted median, MR-Egger, and MRlap methods. RESULTS We found that BMI was inversely associated with FVC (effect estimate, -0.167; 95% confidence interval (CI), -0.203 to -0.130) and FEV1 (effect estimate, -0.111; 95%CI, -0.149 to -0.074). Higher BMI was associated with higher FEV1/FVC (effect estimate, 0.079; 95%CI, 0.049 to 0.110) but was not significantly associated with asthma. WHRadjBMI was inversely associated with FVC (effect estimate, -0.132; 95%CI, -0.180 to -0.084) but has no significant association with FEV1. Higher WHR was associated with higher FEV1/FVC (effect estimate, 0.181; 95%CI, 0.130 to 0.232) and with increased risk of asthma (effect estimate, 0.027; 95%CI, 0.001 to 0.053). CONCLUSION We found significant evidence that increased BMI is suggested to be causally related to decreased FVC and FEV1, and increased BMI-adjusted WHR could lead to lower FVC value and higher risk of asthma. Higher BMI and BMI-adjusted WHR were suggested to be causally associated with higher FEV1/FVC.
Collapse
Affiliation(s)
- Jiayan Liu
- Division of Sleep Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Hanfei Xu
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
| | - L Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
| | - George T O' Connor
- Pulmonary Center, School of Medicine, Boston University, Boston, Massachusetts, USA
- Division of Pulmonary, Allergy, Sleep, and Critical Care Medicine, Boston Medical Center, Boston, Massachusetts, USA
| | - Ching-Ti Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
| |
Collapse
|
36
|
Aberra YT, Ma L, Björkegren JLM, Civelek M. Predicting mechanisms of action at genetic loci associated with discordant effects on type 2 diabetes and abdominal fat accumulation. eLife 2023; 12:e79834. [PMID: 37326626 PMCID: PMC10275637 DOI: 10.7554/elife.79834] [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: 04/28/2022] [Accepted: 05/31/2023] [Indexed: 06/17/2023] Open
Abstract
Obesity is a major risk factor for cardiovascular disease, stroke, and type 2 diabetes (T2D). Excessive accumulation of fat in the abdomen further increases T2D risk. Abdominal obesity is measured by calculating the ratio of waist-to-hip circumference adjusted for the body-mass index (WHRadjBMI), a trait with a significant genetic inheritance. Genetic loci associated with WHRadjBMI identified in genome-wide association studies are predicted to act through adipose tissues, but many of the exact molecular mechanisms underlying fat distribution and its consequences for T2D risk are poorly understood. Further, mechanisms that uncouple the genetic inheritance of abdominal obesity from T2D risk have not yet been described. Here we utilize multi-omic data to predict mechanisms of action at loci associated with discordant effects on abdominal obesity and T2D risk. We find six genetic signals in five loci associated with protection from T2D but also with increased abdominal obesity. We predict the tissues of action at these discordant loci and the likely effector Genes (eGenes) at three discordant loci, from which we predict significant involvement of adipose biology. We then evaluate the relationship between adipose gene expression of eGenes with adipogenesis, obesity, and diabetic physiological phenotypes. By integrating these analyses with prior literature, we propose models that resolve the discordant associations at two of the five loci. While experimental validation is required to validate predictions, these hypotheses provide potential mechanisms underlying T2D risk stratification within abdominal obesity.
Collapse
Affiliation(s)
- Yonathan Tamrat Aberra
- Department of Biomedical Engineering, University of VirginiaCharlottesvilleUnited States
- Center for Public Health Genomics, University of VirginiaCharlottesvilleUnited States
| | - Lijiang Ma
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount SinaiNew YorkUnited States
| | - Johan LM Björkegren
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount SinaiNew YorkUnited States
- Department of Medicine, Karolinska Institutet, HuddingeStockholmSweden
| | - Mete Civelek
- Department of Biomedical Engineering, University of VirginiaCharlottesvilleUnited States
- Center for Public Health Genomics, University of VirginiaCharlottesvilleUnited States
| |
Collapse
|
37
|
Kisiel MA, Arnfelt O, Lindberg E, Jogi O, Malinovschi A, Johannessen A, Benediktsdottir B, Franklin K, Holm M, Real FG, Sigsgaard T, Gislason T, Modig L, Janson C. Association between abdominal and general obesity and respiratory symptoms, asthma and COPD. Results from the RHINE study. Respir Med 2023; 211:107213. [PMID: 36933674 DOI: 10.1016/j.rmed.2023.107213] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 03/10/2023] [Accepted: 03/13/2023] [Indexed: 03/20/2023]
Abstract
INTRODUCTION Previous studies on the association between abdominal and general obesity and respiratory disease have provided conflicting results. AIMS AND OBJECTIVES We aimed to explore the associations of abdominal obesity with respiratory symptoms, asthma, and chronic obstructive pulmonary disease independently from general obesity in women and men. METHODS This cross-sectional study was based on the Respiratory Health in Northern Europe (RHINE) III questionnaire (n = 12 290) conducted in 2010-2012. Abdominal obesity was self-measured waist circumference using a sex-specific standard cut-off point: ≥102 cm in males and ≥88 cm in females. General obesity was defined as self-reported BMI ≥30.0 kg/m2. RESULTS There were 4261 subjects (63% women) with abdominal obesity and 1837 subjects (50% women) with general obesity. Both abdominal and general obesity was independent of each other and associated with respiratory symptoms (odds ratio (OR) from 1.25 to 2.00)). Asthma was significantly associated with abdominal and general obesity in women, OR (95% CI) 1.56 (1.30-1.87) and 1.95 (1.56-2.43), respectively, but not in men, OR 1.22 (0.97-3.17) and 1.28 (0.97-1.68) respectively. A similar sex difference was found for self-reported chronic obstructive pulmonary disease. CONCLUSIONS General and abdominal obesity were independent factors associated with respiratory symptoms in adults. Asthma and chronic obstructive pulmonary disease were independently linked to abdominal and general obesity in women but not men.
Collapse
Affiliation(s)
- Marta A Kisiel
- Department of Medical Sciences: Environmental and Occupational Medicine, Uppsala University, Uppsala, Sweden.
| | - Oscar Arnfelt
- Department of Medical Sciences: Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden
| | - Eva Lindberg
- Department of Medical Sciences: Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden
| | - Oscar Jogi
- Lung Clinic, Tartu University Hospital, Tartu, Estonia
| | - Andrei Malinovschi
- Department of Medical Sciences: Clinical Physiology, Uppsala University, Uppsala, Sweden
| | - Ane Johannessen
- Centre for International Health, Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Bryndis Benediktsdottir
- The Medical Faculty, University of Iceland, Reykjavik, Iceland; Department of Sleep, Landspitali University Hospital Reykjavik, Reykjavik, Iceland
| | - Karl Franklin
- Department of Surgical and Perioperative Sciences, Surgery, Umeå University, Umeå, Sweden
| | - Mathias Holm
- Section of Occupational and Environmental Medicine, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
| | - Francisco Gomez Real
- Department of Clinical Science, University of Bergen, Bergen, Norway; Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway
| | - Torben Sigsgaard
- Department of Public Health, Danish Ramazzini Centre, Aarhus University, Aarhus, Denmark
| | - Thorarinn Gislason
- The Medical Faculty, University of Iceland, Reykjavik, Iceland; Department of Sleep, Landspitali University Hospital Reykjavik, Reykjavik, Iceland
| | - Lars Modig
- Department of Public Health and Clinical Medicine, Section of Sustainable Health, Umeå University, Umeå, Sweden
| | - Christer Janson
- Department of Medical Sciences: Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden
| |
Collapse
|
38
|
Kautzky-Willer A, Leutner M, Harreiter J. Sex differences in type 2 diabetes. Diabetologia 2023; 66:986-1002. [PMID: 36897358 PMCID: PMC10163139 DOI: 10.1007/s00125-023-05891-x] [Citation(s) in RCA: 200] [Impact Index Per Article: 100.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 01/30/2023] [Indexed: 03/11/2023]
Abstract
The prevalence of type 2 diabetes mellitus is increasing in both sexes, but men are usually diagnosed at a younger age and lower body fat mass than women. Worldwide, an estimated 17.7 million more men than women have diabetes mellitus. Women appear to bear a greater risk factor burden at the time of their type 2 diabetes diagnosis, especially obesity. Moreover, psychosocial stress might play a more prominent role in diabetes risk in women. Across their lifespan, women experience greater hormone fluctuations and body changes due to reproductive factors than men. Pregnancies can unmask pre-existing metabolic abnormalities, resulting in the diagnosis of gestational diabetes, which appears to be the most prominent risk factor for progression to type 2 diabetes in women. Additionally, menopause increases women's cardiometabolic risk profile. Due to the progressive rise in obesity, there is a global increase in women with pregestational type 2 diabetes, often with inadequate preconceptual care. There are differences between men and women regarding type 2 diabetes and other cardiovascular risk factors with respect to comorbidities, the manifestation of complications and the initiation of and adherence to therapy. Women with type 2 diabetes show greater relative risk of CVD and mortality than men. Moreover, young women with type 2 diabetes are currently less likely than men to receive the treatment and CVD risk reduction recommended by guidelines. Current medical recommendations do not provide information on sex-specific or gender-sensitive prevention strategies and management. Thus, more research on sex differences, including the underlying mechanisms, is necessary to increase the evidence in the future. Nonetheless, intensified efforts to screen for glucose metabolism disorders and other cardiovascular risk factors, as well as the early establishment of prophylactic measures and aggressive risk management strategies, are still required for both men and women at increased risk of type 2 diabetes. In this narrative review we aim to summarise sex-specific clinical features and differences between women and men with type 2 diabetes into risk factors, screening, diagnosis, complications and treatment.
Collapse
Affiliation(s)
- Alexandra Kautzky-Willer
- Department of Medicine III, Division of Endocrinology and Metabolism, Medical University of Vienna, Vienna, Austria.
- Gender Institute, Lapura Women's Health Resort, Gars am Kamp, Austria.
| | - Michael Leutner
- Department of Medicine III, Division of Endocrinology and Metabolism, Medical University of Vienna, Vienna, Austria
| | - Jürgen Harreiter
- Department of Medicine III, Division of Endocrinology and Metabolism, Medical University of Vienna, Vienna, Austria
| |
Collapse
|
39
|
Hansen GT, Sobreira DR, Weber ZT, Thornburg AG, Aneas I, Zhang L, Sakabe NJ, Joslin AC, Haddad GA, Strobel SM, Laber S, Sultana F, Sahebdel F, Khan K, Li YI, Claussnitzer M, Ye L, Battaglino RA, Nóbrega MA. Genetics of sexually dimorphic adipose distribution in humans. Nat Genet 2023; 55:461-470. [PMID: 36797366 PMCID: PMC10375400 DOI: 10.1038/s41588-023-01306-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Accepted: 01/23/2023] [Indexed: 02/18/2023]
Abstract
Obesity-associated morbidity is exacerbated by abdominal obesity, which can be measured as the waist-to-hip ratio adjusted for the body mass index (WHRadjBMI). Here we identify genes associated with obesity and WHRadjBMI and characterize allele-sensitive enhancers that are predicted to regulate WHRadjBMI genes in women. We found that several waist-to-hip ratio-associated variants map within primate-specific Alu retrotransposons harboring a DNA motif associated with adipocyte differentiation. This suggests that a genetic component of adipose distribution in humans may involve co-option of retrotransposons as adipose enhancers. We evaluated the role of the strongest female WHRadjBMI-associated gene, SNX10, in adipose biology. We determined that it is required for human adipocyte differentiation and function and participates in diet-induced adipose expansion in female mice, but not males. Our data identify genes and regulatory mechanisms that underlie female-specific adipose distribution and mediate metabolic dysfunction in women.
Collapse
Affiliation(s)
- Grace T Hansen
- Department of Human Genetics, University of Chicago, Chicago, IL, USA.
- Pritzker School of Medicine, University of Chicago, Chicago, IL, USA.
| | - Débora R Sobreira
- Department of Human Genetics, University of Chicago, Chicago, IL, USA
| | - Zachary T Weber
- Department of Human Genetics, University of Chicago, Chicago, IL, USA
| | | | - Ivy Aneas
- Department of Human Genetics, University of Chicago, Chicago, IL, USA
| | - Li Zhang
- Department of Human Genetics, University of Chicago, Chicago, IL, USA
| | - Noboru J Sakabe
- Department of Human Genetics, University of Chicago, Chicago, IL, USA
| | - Amelia C Joslin
- Department of Human Genetics, University of Chicago, Chicago, IL, USA
| | - Gabriela A Haddad
- Department of Human Genetics, University of Chicago, Chicago, IL, USA
| | - Sophie M Strobel
- Broad Institute of MIT and Harvard, Boston, MA, USA
- Institute of Nutritional Medicine, School of Medicine, Technical University of Munich, Munich, Germany
| | - Samantha Laber
- Broad Institute of MIT and Harvard, Boston, MA, USA
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
| | - Farhath Sultana
- Department of Rehabilitation Medicine, University of Minnesota, Minneapolis, MN, USA
| | - Faezeh Sahebdel
- Department of Rehabilitation Medicine, University of Minnesota, Minneapolis, MN, USA
| | - Kohinoor Khan
- Department of Rehabilitation Medicine, University of Minnesota, Minneapolis, MN, USA
| | - Yang I Li
- Department of Human Genetics, University of Chicago, Chicago, IL, USA
- Department of Genetic Medicine, University of Chicago, Chicago, IL, USA
| | - Melina Claussnitzer
- Broad Institute of MIT and Harvard, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Boston, MA, USA
- Massachussetts General Hospital, Harvard Medical School, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Novo Nordisk Foundation Center for Genomic Mechanisms of Disease at the Broad Institute of MIT and Harvard, Boston, MA, USA
| | - Liang Ye
- Department of Rehabilitation Medicine, University of Minnesota, Minneapolis, MN, USA.
| | - Ricardo A Battaglino
- Department of Rehabilitation Medicine, University of Minnesota, Minneapolis, MN, USA.
| | - Marcelo A Nóbrega
- Department of Human Genetics, University of Chicago, Chicago, IL, USA.
| |
Collapse
|
40
|
Simati S, Kokkinos A, Dalamaga M, Argyrakopoulou G. Obesity Paradox: Fact or Fiction? Curr Obes Rep 2023:10.1007/s13679-023-00497-1. [PMID: 36808566 DOI: 10.1007/s13679-023-00497-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/03/2023] [Indexed: 02/23/2023]
Abstract
PURPOSE OF REVIEW Obesity is related to several comorbidities such as type 2 diabetes mellitus, cardiovascular disease, heart failure, and various types of cancers. While the detrimental effect of obesity in both mortality and morbidity has been well established, the concept of the obesity paradox in specific chronic diseases remains a topic of continuous interest. In the present review, we examine the controversial issues around the obesity paradox in certain conditions such as cardiovascular disease, several types of cancer and chronic obstructive pulmonary disease, and the factors that may confound the relation between obesity and mortality. RECENT FINDINGS We refer to the obesity paradox when particular chronic diseases exhibit an interesting "paradoxical" protective association between the body mass index (BMI) and clinical outcomes. This association, however, may be driven by multiple factors among which the limitations of the BMI itself; the unintended weight loss precipitated by chronic illness; the various phenotypes of obesity, i.e., sarcopenic obesity or the athlete's obesity phenotype; and the cardiorespiratory fitness levels of the included patients. Recent evidence highlighted that previous cardioprotective medications, obesity duration, and smoking status seem to play a role in the obesity paradox. The obesity paradox has been described in a plethora of chronic diseases. It cannot be emphasized enough that the incomplete information received from a single BMI measurement may interfere with outcomes of studies arguing in favor of the obesity paradox. Thus, the development of carefully designed studies, unhampered by confounding factors, is of great importance.
Collapse
Affiliation(s)
- Stamatia Simati
- First Department of Propaedeutic Internal Medicine, Medical School, National and Kapodistrian University of Athens, Laiko Hospital, Athens, 115 27, Greece
| | - Alexander Kokkinos
- First Department of Propaedeutic Internal Medicine, Medical School, National and Kapodistrian University of Athens, Laiko Hospital, Athens, 115 27, Greece
| | - Maria Dalamaga
- Department of Biological Chemistry, Medical School, National and Kapodistrian University of Athens, Mikras Asias 75, Goudi, Athens, 11527, Greece
| | | |
Collapse
|
41
|
Chang X, Chua KY, Ng FL, Wang L, Liu J, Yuan JM, Khor CC, Heng CK, Dorajoo R, Koh WP. Increased BMI and late-life mobility dysfunction; overlap of genetic effects in brain regions. Int J Obes (Lond) 2023; 47:358-364. [PMID: 36788305 DOI: 10.1038/s41366-023-01275-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 02/01/2023] [Accepted: 02/02/2023] [Indexed: 02/16/2023]
Abstract
BACKGROUND How obesity earlier in life impacts upon mobility dysfunctions in late life is not well understood. Pernicious effects of excess weight on the musculoskeletal system and mobility dysfunctions are well-recognized. However, increasingly more data support the link of obesity to overall motor defects that are regulated in the brain. OBJECTIVES To assess the causal relationship between body mass index (BMI) at midlife and performance of the Timed Up-and-Go test (TUG) in late life among a population-based longitudinal cohort of Chinese adults living in Singapore. METHODS We evaluated genetic predispositions for BMI in 8342 participants who were followed up from measurement of BMI at average 53 years, to TUG test (as a functional mobility measure) 20 years later. RESULTS A robust 75.83% of genetically determined BMI effects on late-life TUG scores were mediated through midlife BMI (Pindirect-effect = 9.24 × 10-21). Utilizing Mendelian randomization, we demonstrated a causal effect between BMI and functional mobility in late life (βIVW = 0.180, PIVW = 0.001). Secondary gene enrichment evaluations highlighted down-regulation of genes at BMI risk loci that were correlated with poorer functional mobility in the substantia nigra and amygdala regions as compared to all other tissues. These genes also exhibit differential expression patterns during human brain development. CONCLUSIONS We report a causal effect of obesity on mobility dysfunction. Our findings highlight potential neuronal dysfunctions in regulating predispositions on the causal pathway from obesity to mobility dysfunction.
Collapse
Affiliation(s)
- Xuling Chang
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228, Singapore.,Khoo Teck Puat - National University Children's Medical Institute, National University Health System, Singapore, 119074, Singapore.,Department of Infectious Diseases, The University of Melbourne, The Peter Doherty Institute for Infection and Immunity, Melbourne, 3000, VIC, Australia
| | - Kevin Yiqiang Chua
- Integrative Sciences and Engineering Programme, NUS Graduate School, National University of Singapore, Singapore, 119077, Singapore
| | - Fang Lin Ng
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228, Singapore.,Khoo Teck Puat - National University Children's Medical Institute, National University Health System, Singapore, 119074, Singapore
| | - Ling Wang
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, 138672, Singapore
| | - Jianjun Liu
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, 138672, Singapore.,Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, 15232, USA.,Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, 15261, USA
| | - Chiea-Chuen Khor
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, 138672, Singapore.,Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, 169856, Singapore
| | - Chew-Kiat Heng
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228, Singapore. .,Khoo Teck Puat - National University Children's Medical Institute, National University Health System, Singapore, 119074, Singapore.
| | - Rajkumar Dorajoo
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, 138672, Singapore. .,Health Systems and Services Research, Duke-NUS Medical School Singapore, Singapore, 169857, Singapore.
| | - Woon-Puay Koh
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117545, Singapore.,Singapore Institute for Clinical Sciences, Agency for Science Technology and Research (A*STAR), Singapore, 117609, Singapore
| |
Collapse
|
42
|
Bobbio Gonzáles PA, Azañedo D, Hernández-Vásquez A. Socioeconomic and Demographic Factors Associated with the Influence of the Food Traffic Light Labeling on the Decision of the Adult Population of Ecuador to Purchase Processed Foods, 2018. Nutrients 2023; 15:nu15040885. [PMID: 36839243 PMCID: PMC9962647 DOI: 10.3390/nu15040885] [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: 01/10/2023] [Revised: 02/03/2023] [Accepted: 02/06/2023] [Indexed: 02/12/2023] Open
Abstract
To determine the socioeconomic and demographic factors associated with the influence of the nutritional traffic light (NTL) on the decision to purchase processed foods using information from the National Health and Nutrition Survey (ENSANUT) 2018 of Ecuador, a cross-sectional and analytical study based on a secondary analysis of the information from the ENSANUT 2018 was performed. We collected data from 25,932 participants 18 years of age or older who knew or had seen the NTL, and for whom complete information on the variables of interest for the study was available. The "Influence of the NTL on the purchase decision of processed foods" was the outcome variable of the study. Generalized linear models of the Poisson family, with log link, were used to assess the association between socioeconomic factors and outcome, using crude (PR) and adjusted (aPR) prevalence ratios, with 95% confidence intervals (CI) and a p-value < 0.05. Participants who understood the NTL (aPR: 2.49; 95% CI: 2.19-2.83), with a higher educational level (aPR: 1.33; 95% CI: 1.09-1.61), women (aPR 1.06; 95% CI: 1.01-1.10), and who had a partner (aPR 1.09; 95% CI: 1.04-1.14) were more likely to be influenced by the NTL when deciding to purchase processed foods, compared to people who did not understand the NTL, who had no educational level or who only attended a literacy center, were men, and those without a partner. The inhabitants of the coastal region (aPR: 0.92; 95% CI: 0.88-0.97), the Amazon (aPR 0.93; 95% CI: 0.88-0.98), and the insular region (aPR 0.76; 95% CI: 0.68-0.84) had few probabilities of being influenced by the NTL in the decision to purchase processed foods, in comparison with the residents of the highlands. Similarly, compared to non-poor people, poor people had a lower probability of being influenced by the NTL (aPR 0.89; 95% CI: 0.82-0.97). Factors associated with the influence of NTL on the decision to purchase processed foods were identified. It is recommended to reformulate and focus awareness strategies for using the NTL to purchase processed foods by taking into account the associated factors.
Collapse
Affiliation(s)
| | - Diego Azañedo
- Faculty of Health Sciences, Universidad Científica del Sur, Lima 15067, Peru
| | - Akram Hernández-Vásquez
- Centro de Excelencia en Investigaciones Económicas y Sociales en Salud, Vicerrectorado de Investigación, Universidad San Ignacio de Loyola, Lima 15024, Peru
- Correspondence:
| |
Collapse
|
43
|
Smith J, Ang XQ, Giles EL, Traviss-Turner G. Emotional Eating Interventions for Adults Living with Overweight or Obesity: A Systematic Review and Meta-Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:2722. [PMID: 36768088 PMCID: PMC9915727 DOI: 10.3390/ijerph20032722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 01/31/2023] [Accepted: 02/01/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Emotional eating (EE) may be defined as a tendency to eat in response to negative emotions and energy-dense and palatable foods, and is common amongst adults with overweight or obesity. There is limited evidence regarding the effectiveness of interventions that address EE. OBJECTIVES To synthesize evidence on the effectiveness of EE interventions for weight loss and EE in adults living with overweight or obesity. METHODS This is a systematic review and meta-analysis. Adhering to the PRISMA guidance, a comprehensive electronic search was completed up to February 2022. Random effects meta-analysis was carried out to determine the percentage change in weight and EE scores. RESULTS Thirty-four studies were included. The combined effect size for percentage weight change was -1.08% (95% CI: -1.66 to -0.49, I2 = 64.65%, n = 37), once adjusted for publication bias. Similarly, the combined effect size for percentage change in EE was -2.37%, (95% CI: -3.76 to -0.99, I2 = 87.77%, n = 46). Cognitive Behavioural Therapy showed the most promise for reducing weight and improving EE. CONCLUSIONS Interventions to address EE showed promise in reducing EE and promoted a small amount of weight loss in adults living with overweight or obesity.
Collapse
Affiliation(s)
- Jo Smith
- School of Health and Life Sciences, Teesside University, Middlesbrough TS1 3BX, UK
- Tees, Esk and Wear Valleys NHS Foundation Trust, Darlington DL2 2TS, UK
| | - Xiao Qi Ang
- School of Health and Life Sciences, Teesside University, Middlesbrough TS1 3BX, UK
| | - Emma L. Giles
- School of Health and Life Sciences, Teesside University, Middlesbrough TS1 3BX, UK
| | | |
Collapse
|
44
|
Mutie PM, Pomares-Millan H, Atabaki-Pasdar N, Coral D, Fitipaldi H, Tsereteli N, Tajes JF, Franks PW, Giordano GN. Investigating the causal relationships between excess adiposity and cardiometabolic health in men and women. Diabetologia 2023; 66:321-335. [PMID: 36221008 PMCID: PMC9807546 DOI: 10.1007/s00125-022-05811-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 08/23/2022] [Indexed: 01/07/2023]
Abstract
AIMS/HYPOTHESIS Excess adiposity is differentially associated with increased risk of cardiometabolic disease in men and women, according to observational studies. Causal inference studies largely assume a linear relationship between BMI and cardiometabolic outcomes, which may not be the case. In this study, we investigated the shapes of the causal relationships between BMI and cardiometabolic diseases and risk factors. We further investigated sex differences within the causal framework. METHODS To assess causal relationships between BMI and the outcomes, we used two-stage least-squares Mendelian randomisation (MR), with a polygenic risk score for BMI as the instrumental variable. To elucidate the shapes of the causal relationships, we used a non-linear MR fractional polynomial method, and used piecewise MR to investigate threshold relationships and confirm the shapes. RESULTS BMI was associated with type 2 diabetes (OR 3.10; 95% CI 2.73, 3.53), hypertension (OR 1.53; 95% CI 1.44, 1.62) and coronary artery disease (OR 1.20; 95% CI 1.08, 1.33), but not chronic kidney disease (OR 1.08; 95% CI 0.67, 1.72) or stroke (OR 1.08; 95% CI 0.92, 1.28). The data suggest that these relationships are non-linear. For cardiometabolic risk factors, BMI was positively associated with glucose, HbA1c, triacylglycerol levels and both systolic and diastolic BP. BMI had an inverse causal relationship with total cholesterol, LDL-cholesterol and HDL-cholesterol. The data suggest a non-linear causal relationship between BMI and BP and other biomarkers (p<0.001) except lipoprotein A. The piecewise MR results were consistent with the fractional polynomial results. The causal effect of BMI on coronary artery disease, total cholesterol and LDL-cholesterol was different in men and women, but this sex difference was only significant for LDL-cholesterol after controlling for multiple testing (p<0.001). Further, the causal effect of BMI on coronary artery disease varied by menopause status in women. CONCLUSIONS/INTERPRETATION We describe the shapes of causal effects of BMI on cardiometabolic diseases and risk factors, and report sex differences in the causal effects of BMI on LDL-cholesterol. We found evidence of non-linearity in the causal effect of BMI on diseases and risk factor biomarkers. Reducing excess adiposity is highly beneficial for health, but there is greater need to consider biological sex in the management of adiposity.
Collapse
Affiliation(s)
- Pascal M Mutie
- Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Department of Clinical Sciences, Clinical Research Centre, Lund University, Lund, Sweden
| | - Hugo Pomares-Millan
- Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Department of Clinical Sciences, Clinical Research Centre, Lund University, Lund, Sweden
| | - Naeimeh Atabaki-Pasdar
- Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Department of Clinical Sciences, Clinical Research Centre, Lund University, Lund, Sweden
| | - Daniel Coral
- Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Department of Clinical Sciences, Clinical Research Centre, Lund University, Lund, Sweden
| | - Hugo Fitipaldi
- Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Department of Clinical Sciences, Clinical Research Centre, Lund University, Lund, Sweden
| | - Neli Tsereteli
- Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Department of Clinical Sciences, Clinical Research Centre, Lund University, Lund, Sweden
| | - Juan Fernandez Tajes
- Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Department of Clinical Sciences, Clinical Research Centre, Lund University, Lund, Sweden
| | - Paul W Franks
- Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Department of Clinical Sciences, Clinical Research Centre, Lund University, Lund, Sweden.
- Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Giuseppe N Giordano
- Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Department of Clinical Sciences, Clinical Research Centre, Lund University, Lund, Sweden
| |
Collapse
|
45
|
Wan EYF, Fung WT, Yu EYT, Cheng WHG, Chan KS, Wang Y, Chan EWY, Wong ICK, Lam CLK. Association of genetic variants related to combined exposure to higher BMI and waist-to-hip ratio on lifelong cardiovascular risk in UK Biobank. Public Health Nutr 2023; 26:416-424. [PMID: 35621080 DOI: 10.1017/s1368980022001276] [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] [Indexed: 11/07/2022]
Abstract
OBJECTIVE This study examines the individual and combined association of BMI and waist-to-hip ratio (WHR) with CVD risk using genetic scores of the obesity measurements as proxies. DESIGN A 2 × 2 factorial analysis approach was applied, with participants divided into four groups of lifetime exposure to low BMI and WHR, high BMI, high WHR, and high BMI and WHR based on weighted genetic risk scores. The difference in CVD risk across groups was evaluated using multivariable logistic regression. SETTING Cohort study. PARTICIPANTS A total of 408 003 participants were included from the prospective observational UK Biobank study. RESULTS A total of 58 429 CVD events were recorded. Compared to the low BMI and WHR genetic scores group, higher BMI or higher WHR genetic scores were associated with an increase in CVD risk (high WHR: OR, 1·07; 95 % CI (1·04, 1·10)); high BMI: OR, 1·12; 95 % CI (1·09, 1·16). A weak additive effect on CVD risk was found between BMI and WHR (high BMI and WHR: OR, 1·16; 95 % CI (1·12, 1·19)). Subgroup analysis showed similar patterns between different sex, age (<65, ≥65 years old), smoking status, Townsend deprivation index, fasting glucose level and medication uses, but lower systolic blood pressure was associated with higher CVD risk in obese participants. CONCLUSIONS High BMI and WHR were associated with increased CVD risk, and their effects are weakly additive. Even though there were overlapping of effect, both BMI and WHR are important in assessing the CVD risk in the general population.
Collapse
Affiliation(s)
- Eric Yuk Fai Wan
- Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong Special Administrative Region, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Special Administrative Region, China
| | - Wing Tung Fung
- Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Esther Yee Tak Yu
- Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Will Ho Gi Cheng
- Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Kam Suen Chan
- Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Yuan Wang
- Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Esther Wai Yin Chan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong Special Administrative Region, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Special Administrative Region, China
| | - Ian Chi Kei Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong Special Administrative Region, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Special Administrative Region, China
- Research Department of Practice and Policy, School of Pharmacy, University College London, London, UK
| | - Cindy Lo Kuen Lam
- Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
- Department of Family Medicine, The University of Hong Kong Shenzhen Hospital, Shenzhen, China
| |
Collapse
|
46
|
Ruelas AL, Martínez Contreras TDJ, Esparza Romero J, Díaz Zavala RG, Candia Plata MDC, Hingle M, Armenta Guirado B, Haby MM. Factors influencing adults to drop out of intensive lifestyle interventions for weight loss. Transl Behav Med 2023; 13:245-254. [PMID: 36694376 PMCID: PMC10105866 DOI: 10.1093/tbm/ibac112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
Reducing ≥5% of body weight can decrease the risk of developing chronic diseases in adults with excess weight. Although Intensive Lifestyle Interventions (ILIs) that include cognitive-behavioral techniques to improve physical activity and eating habits are the best approach for losing weight, the failure to retain participants is a barrier to their successful implementation. We aimed to investigate the factors influencing adults to drop out of ILIs for weight loss at six months. We conducted retrospective multiple logistic regression analysis of 268 participants with excess weight (body mass index ≥ 25 kg/m2) from a multicenter study (n = 237, in-person ILI in five clinics, delivered by nutrition interns), and a randomized controlled trial (n = 31, one online ILI, delivered by a master's degree student). The same research team conducted both studies in Northern Mexico, using the same intervention components, and identical instruments and techniques to collect the data. We found that older participants (≥50 years) were less likely to drop out of the ILI for weight loss compared to participants <35 years old (OR = 0.34, 95% CI = 0.16-0.70). For each unit increase in the bodily pain scale of the SF-36 (less perceived pain), the risk of dropping out decreased by 2% (OR = 0.98, 95% CI = 0.97, 0.996), while a change in the interventionist during the 6-month intervention more than doubled the risk of dropping out (OR 2.25, 95% CI = 1.23-4.14). Retention in ILIs may be improved by ensuring that the same interventionist remains during the six-month intervention. In addition, ILIs may need further tailoring for younger ages and for participants with higher perceived pain.
Collapse
Affiliation(s)
- Alma L Ruelas
- Programa de Doctorado en Ciencias Químico Biológicas y de la Salud, Departamento de Ciencias Químico-Biológicas, Universidad de Sonora, Encinas y Rosales s/n Hermosillo, Sonora, 83000, México
| | - Teresita de Jesús Martínez Contreras
- Centro de Promoción de Salud Nutricional, Departamento de Ciencias Químico-Biológicas, Universidad de Sonora, Encinas y Rosales s/n Hermosillo, Sonora, 83000, México
| | - Julián Esparza Romero
- Unidad de Investigación en Diabetes, Centro de Investigación en Alimentación y Desarrollo, A.C. Carretera Gustavo Enrique Astiazarán Rosas, No.46, C.P. 83304, Hermosillo, Sonora, México
| | - Rolando Giovanni Díaz Zavala
- Centro de Promoción de Salud Nutricional, Departamento de Ciencias Químico-Biológicas, Universidad de Sonora, Encinas y Rosales s/n Hermosillo, Sonora, 83000, México
| | - Maria Del Carmen Candia Plata
- Departamento de Medicina y Ciencias de la Salud, Universidad de Sonora, Encinas y Rosales s/n Hermosillo, Sonora, 83000, México
| | - Melanie Hingle
- Department of Nutritional Sciences, College of Agriculture and Life Sciences, University of Arizona, Tucson, AZ, United States
| | - Brianda Armenta Guirado
- Centro de Investigación en Nutrición y Salud Pública, Instituto Nacional de Salud Pública, Av. Universidad 655, col. Santa María Ahuacatitlán, Cuernavaca, Morelos, 62100, México
| | - Michelle M Haby
- Departamento de Ciencias Químico-Biológicas, Universidad de Sonora, Encinas y Rosales s/n Hermosillo, Sonora, 83000, México.,Centre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, 3010, Australia
| |
Collapse
|
47
|
Yang G, Schooling CM. Statins, Type 2 Diabetes, and Body Mass Index: A Univariable and Multivariable Mendelian Randomization Study. J Clin Endocrinol Metab 2023; 108:385-396. [PMID: 36184662 DOI: 10.1210/clinem/dgac562] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 09/22/2022] [Indexed: 01/20/2023]
Abstract
CONTEXT Statins and possibly other lipid modifiers increase type 2 diabetes risk and body mass index (BMI). However, to what extent BMI mediates the diabetogenic effects of lipid modifiers remains unclear. OBJECTIVE We used Mendelian randomization (MR) to investigate the effects of commonly used lipid modifiers on type 2 diabetes risk and glycemic traits, and any mediation by BMI. METHODS Using established genetic variants to mimic commonly used lipid modifiers (ie, statins, PCSK9 inhibitors, and ezetimibe), we assessed their associations with type 2 diabetes risk, glycated hemoglobin (HbA1c), fasting insulin, fasting glucose, and BMI in the largest relevant genome-wide association studies (GWAS) in people of European ancestry, and where possible, in East Asians. We used multivariable MR to examine the role of lipid modifiers independent of BMI. RESULTS Genetically mimicked effects of statins and ezetimibe, but not PCSK9 inhibitors were associated with higher risk of type 2 diabetes (odds ratio [OR] 1.74 [95% CI, 1.49 to 2.03]; 1.92 [1.22 to 3.02]; 1.06 [0.87 to 1.29] per SD reduction in low-density lipoprotein (LDL)-cholesterol). Of these lipid modifiers, only genetic mimics of statins were associated with higher BMI (0.33 SD [0.29 to 0.38] per SD reduction in LDL-cholesterol), which explained 54% of the total effect of statins on type 2 diabetes risk. CONCLUSION Higher BMI mediated more than half of the diabetogenic effects of statins, which did not extend to other commonly used lipid modifiers. Further investigations are needed to clarify drug-specific mechanisms underlying the effects of lipid modifiers on type 2 diabetes.
Collapse
Affiliation(s)
- Guoyi Yang
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong 999077, China
| | - C Mary Schooling
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong 999077, China
- Graduate School of Public Health and Health Policy, City University of New York, New York 10027, USA
| |
Collapse
|
48
|
Yang G, Schooling CM. Investigating sex-specific associations of lipid traits with type 2 diabetes, glycemic traits and sex hormones using Mendelian randomization. Cardiovasc Diabetol 2023; 22:3. [PMID: 36624450 PMCID: PMC9830908 DOI: 10.1186/s12933-022-01714-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2022] [Accepted: 12/01/2022] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Low-density lipoprotein (LDL)-cholesterol is positively associated with cardiovascular disease (CVD) and inversely associated with type 2 diabetes, which could detract from lipid modification. Here, we examined whether lipid traits potentially relevant to CVD aetiology, i.e. apolipoprotein B (apoB), triglycerides (TG) and lipoprotein(a) [Lp(a)] exhibited the same associations. We investigated sex-specifically, including the role of sex hormones, because sex disparities exist in lipid profile and type 2 diabetes. We also replicated where possible. METHODS We used Mendelian randomization (MR) to examine sex-specific associations of apoB, TG and Lp(a) with type 2 diabetes, HbA1c, fasting insulin, fasting glucose, testosterone and estradiol in the largest relevant sex-specific genome-wide association studies (GWAS) in people of European ancestry and replicated where possible. We also assessed sex-specific associations of liability to type 2 diabetes with apoB, TG and Lp(a). RESULTS Genetically predicted apoB and Lp(a) had little association with type 2 diabetes or glycemic traits in women or men. Genetically predicted higher TG was associated with higher type 2 diabetes risk [odds ratio (OR) 1.44 per standard deviation (SD), 95% confidence interval (CI) 1.26 to 1.65], HbA1c and fasting insulin specifically in women. Higher TG was associated with lower testosterone in women and higher testosterone in men, but with lower estradiol in men and women. Genetic liability to type 2 diabetes was associated with higher TG in women, and possibly with lower apoB in men. CONCLUSIONS Lipid traits potentially relevant to CVD aetiology do not exhibit contrasting associations with CVD and type 2 diabetes. However, higher TG is associated with higher type 2 diabetes risk and glycemic traits, which in turn further increases TG specifically in women, possibly driven by sex hormones.
Collapse
Affiliation(s)
- Guoyi Yang
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - C Mary Schooling
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
- Graduate School of Public Health and Health Policy, City University of New York, New York, USA.
| |
Collapse
|
49
|
Gridneva OV, Kravchun PG, Ryndina NG, Kadykova OI. PREDICTION OF THE RISKS OF THE DEVELOPMENT OF COMORBIDITY OF CORONARY HEART DISEASE AND OBESITY IN THE BACKGROUND OF MILITARY ACTIONS. WIADOMOSCI LEKARSKIE (WARSAW, POLAND : 1960) 2023; 76:2143-2149. [PMID: 37948706 DOI: 10.36740/wlek202310102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/12/2023]
Abstract
OBJECTIVE The aim: Study of prognostic possibilities of batokine complexes (fibroblast growth factor (FGF-21) and vascular endothelial growth factor A (VEGF-A)) in determining the risks of developing coronary heart disease (CHD) and obesity (especially in case of their comorbidity). PATIENTS AND METHODS Materials and methods: 105 patients aged 25-85 were examined: 70 (main group) -with CHD on the background of obesity and 35 - with isolated CHD (comparison group). RESULTS Results: Probable associations with increased risks of comorbidity of CHD and obesity were: increased systolic blood pressure (SBP) (OR = 0.844 [95.0% CI 0.735-0.970], p = 0.017), FGF-21 (OR = 1.701 [95.0 % CI 1.219-2.375], p = 0.002), VEGF-A (OR = 1.725 [95.0% CI 1.213-2.372], p = 0.005), low-density lipoprotein (LDL) (OR = 4.419 [95.0% CI 1.351-14.469], p = 0.014). Probable associations were also established for lesions of the left anterior descending artery (LADA) (OR = 1.117 [95.0% CI 0.987-1.263], p = 0.078), intermediate branch of the left coronary artery (IBLCA) (OR = 1.336 [95.0% CI 1.099-1.624], p = 0.004). CONCLUSION Conclusions: The values of the characteristics of batokine metabolism (FGF-21 and VEGF-A levels) can be used as a significant predictor of the development of obesity in CHD. Increased levels of FGF-21 and VEGF-A in blood serum characterize a significant relationship with the development of such comorbidity, which indicates a significant influence of batokine complexes on the pathogenesis of comorbidity of CHD and obesity.
Collapse
|
50
|
Zlatkina VV, Nemtsova VD, Fedak BS, Ponomaryov VI, Zhelezniakova NM, Mishchenko OM, Horban DV. FUNCTIONAL CHARACTERISTICS OF THE CARDIOVASCULAR SYSTEM OF PATIENTS WITH ISCHEMIC HEART DISEASE WITH OBESITY. WIADOMOSCI LEKARSKIE (WARSAW, POLAND : 1960) 2023; 76:1290-1294. [PMID: 37364087 DOI: 10.36740/wlek202305224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/28/2023]
Abstract
OBJECTIVE The aim: To determine the features of the functional characteristics of the cardiovascular system of patients with ischemic heart disease with obesity. PATIENTS AND METHODS Materials and methods: Examined 130 persons (mostly military personnel and persons who were in the zone of active hostilities): 65 patients (the main group, 62,67±8,93 years) with coronary heart disease and obesity and 45 people of the control group (virtually healthy people, randomized by age and sex, 58,76±14,6 years). RESULTS Results: Coronary heart disease and obesity compared to healthy individuals probably the exceed all values of the functional state of the cardiovascular system: systolic blood pressure (152.72±14.61 and 119.03±7.94 mmHg; p<0.001); diastolic blood pressure (90.74±7.36 and 80.36±6.74 mmHg; p<0.001); end-diastolic volume (103.17±40.84 and 52.48±8.58 mm3; р<0.001); end-systolic volume (47.98±29.92 and 31.47±8.42 mm3; р=0.001); end-diastolic size (4.74±0.81 and 4.12 ± 0.27 cm; р<0.001); end-systolic size (3.34±0.76 and 3.17±0.59 cm; р=0.014). CONCLUSION Conclusions: The identified functional disorders of the heart in the comorbid course of coronary heart disease and obesity can be used for early diagnosis of cardiovascular complications in such patients and for the development of adequate therapeutic schemes.
Collapse
Affiliation(s)
- Vira V Zlatkina
- EDUCATIONAL AND SCIENTIFIC MEDICAL INSTITUTE OF THE NATIONAL TECHNICAL UNIVERSITY «KHARKIV POLYTECHNIC INSTITUTE», KHARKIV, UKRAINE
| | - Valeriya D Nemtsova
- EDUCATIONAL AND SCIENTIFIC MEDICAL INSTITUTE OF THE NATIONAL TECHNICAL UNIVERSITY «KHARKIV POLYTECHNIC INSTITUTE», KHARKIV, UKRAINE
| | - Bogdan S Fedak
- EDUCATIONAL AND SCIENTIFIC MEDICAL INSTITUTE OF THE NATIONAL TECHNICAL UNIVERSITY «KHARKIV POLYTECHNIC INSTITUTE», KHARKIV, UKRAINE
| | - Volodymyr I Ponomaryov
- EDUCATIONAL AND SCIENTIFIC MEDICAL INSTITUTE OF THE NATIONAL TECHNICAL UNIVERSITY «KHARKIV POLYTECHNIC INSTITUTE», KHARKIV, UKRAINE
| | | | - Oleksandr M Mishchenko
- EDUCATIONAL AND SCIENTIFIC MEDICAL INSTITUTE OF THE NATIONAL TECHNICAL UNIVERSITY «KHARKIV POLYTECHNIC INSTITUTE», KHARKIV, UKRAINE
| | - Dariia V Horban
- EDUCATIONAL AND SCIENTIFIC MEDICAL INSTITUTE OF THE NATIONAL TECHNICAL UNIVERSITY «KHARKIV POLYTECHNIC INSTITUTE», KHARKIV, UKRAINE
| |
Collapse
|