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Wu X, Oniani D, Shao Z, Arciero P, Sivarajkumar S, Hilsman J, Mohr AE, Ibe S, Moharir M, Li LJ, Jain R, Chen J, Wang Y. A Scoping Review of Artificial Intelligence for Precision Nutrition. Adv Nutr 2025:100398. [PMID: 40024275 DOI: 10.1016/j.advnut.2025.100398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2024] [Revised: 02/04/2025] [Accepted: 02/24/2025] [Indexed: 03/04/2025] Open
Abstract
BACKGROUND With the role of artificial intelligence (AI) in precision nutrition rapidly expanding, a scoping review on recent studies and potential future directions is demanded. OBJECTIVE This scoping review examines: (1) the current landscape, including publication venues, targeted diseases, AI applications, methods, evaluation metrics, and considerations of minority and cultural factors; (2) common patterns in AI-driven precision nutrition studies; and (3) gaps, challenges and future research directions. METHODS Following the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) process, we extracted 198 articles from major databases with search keywords in three categories: precision nutrition keywords, artificial intelligence keywords and natural language processing keywords. RESULTS The extracted literature reveals a surge in AI-driven precision nutrition research, with ∼75% (n=148) published since 2020. It also showcases a diverse publication landscape, with these studies predominantly focusing on diet-related diseases, such as diabetes and cardiovascular conditions, while emphasizing health optimization, disease prevention, and management. We highlight diverse datasets and critically discuss methodologies and evaluation metrics to guide future studies. Importantly, we underscore the significance of minority and cultural aspects in enhancing health technologies and advancing equity. Future research should deepen the integration of these factors to fully harness AI's potential in precision nutrition. STATEMENT OF SIGNIFICANCE This scoping review offers the most recent advancements in artificial intelligence for precision nutrition studies, expanding the scope to not only AI methodologies and their applications but also evaluates publication venues, targeted disease, datasets used and minority and cultural factors, which have been mostly overlooked in prior studies. Furthermore, with numerous gaps and challenges presented in the discussion section, this review significantly improves the understanding of AI's role in precision nutrition and provides new insights for future research.
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Affiliation(s)
- Xizhi Wu
- Department of Health Information Management, University of Pittsburgh, Pittsburgh, PA, USA
| | - David Oniani
- Department of Health Information Management, University of Pittsburgh, Pittsburgh, PA, USA
| | - Zejia Shao
- Siebel School of Computing and Data Science, The Grainger College of Engineering, University of Illinois Urbana-Champaign, Champaign, IL, USA
| | - Paul Arciero
- Department of Health and Human Physiological Sciences, Skidmore College, Saratoga Springs, NY, 12866
| | | | - Jordan Hilsman
- Department of Health Information Management, University of Pittsburgh, Pittsburgh, PA, USA
| | - Alex E Mohr
- College of Health Solutions, Arizona State University, Tempe, AZ, USA
| | - Stephanie Ibe
- School of Medicine, Stanford University, Stanford, CA, USA
| | - Minal Moharir
- School of Medicine, Stanford University, Stanford, CA, USA
| | - Li-Jia Li
- HealthUnity Corporation, Palo Alto, CA, USA
| | - Ramesh Jain
- HealthUnity Corporation, Palo Alto, CA, USA; Department of Computer Science, University of California, Irvine, CA, USA
| | - Jun Chen
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Yanshan Wang
- Department of Health Information Management, University of Pittsburgh, Pittsburgh, PA, USA; Intelligent Systems Program, University of Pittsburgh, Pittsburgh, PA, USA; Clinical and Translational Science Institute, University of Pittsburgh, Pittsburgh, PA, USA; University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
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Segrestin B, Cherifi BG. Obesity and its treatment: Toward new approaches. ANNALES D'ENDOCRINOLOGIE 2025; 86:101712. [PMID: 39961481 DOI: 10.1016/j.ando.2025.101712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/03/2025]
Abstract
Obesity has until now been defined in terms of body mass index, a parameter which lacks sensitivity. The definition rather needs to take account of the pathophysiology and impact of the mechanical, metabolic and psychological complications associated with excess adiposity, as proposed by the French Health Authority in 2022. Initial phenotyping of pathophysiological determinants and complications make it possible to precisely define treatment objectives and the means used to achieve them. For example, excess adiposity is associated with hypervolemia, which increases the risk of heart failure independently of classic cardiovascular risk factors, due in particular to myocardial remodeling and diastolic dysfunction. In this indication, SGLT2 (sodium/glucose cotransporter 2) inhibitors may be relevant. A global approach, involving assessment of eating behavior and sensations, energy expenditure and emotional eating, enables us to identify drug treatments suited to each profile. Obesity is a recurrent pathology requiring the development of new combined or sequential drug treatments. Currently under development, inhibitors of the myostatin/activin A pathway conserve lean body mass during weight loss, a crucial factor in limiting weight regain and maintaining functional capacity. Beyond medical or surgical approaches to obesity, lifelong lifestyle interventions are central to improving quality of life and limiting the risks associated with excess adiposity.
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Affiliation(s)
- Bérénice Segrestin
- F-CRIN - FORCE (French Obesity Research Centre of Excellence), CRNH, CARMEN lab INSERM U1060/University of Lyon/INRA U1235, Lyon1 University, Lyon, France; Endocrinology-Diabetes-Nutrition Department, hospices civils de Lyon, Lyon, France.
| | - Blandine Gatta Cherifi
- Service d'endocrinologie, diabétologie et maladies métaboliques, CRMR Pradort, CHU de Bordeaux, Bordeaux, France; Inserm U1215, "Physiopathologie de la balance enérgétique et obésité", Neurocentre Magendie, université de Bordeaux, Bordeaux, France; UFR des sciences médicales, université de Bordeaux, Bordeaux, France
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Huey SL, Mehta NH, Steinhouse RS, Jin Y, Kibbee M, Kuriyan R, Finkelstein JL, Mehta S. Precision nutrition-based interventions for the management of obesity in children and adolescents up to the age of 19 years. Cochrane Database Syst Rev 2025; 1:CD015877. [PMID: 39882755 DOI: 10.1002/14651858.cd015877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2025]
Abstract
BACKGROUND Precision nutrition-based methods develop tailored interventions and/or recommendations accounting for determinants of intra- and inter-individual variation in response to the same diet, compared to current 'one-size-fits-all' population-level approaches. Determinants may include genetics, current dietary habits and eating patterns, circadian rhythms, health status, gut microbiome, socioeconomic and psychosocial characteristics, and physical activity. In this systematic review, we examined the evidence base for the effect of interventions based on precision nutrition approaches on overweight and obesity in children and adolescents to help inform future research and global guidelines. OBJECTIVES To examine the impact of precision nutrition-based interventions for the management of obesity in children and adolescents in all their diversity. SEARCH METHODS We searched CENTRAL, MEDLINE, CINAHL, Web of Science Core Collection, BIOSIS Previews, Global Index Medicus (all regions), IBECS, SciELO, PAHO, PAHO IRIS, WHO IRIS, WHOLIS, Bibliomap, and TRoPHI, as well as the WHO ICTRP and ClinicalTrials.gov. We last searched the databases on 23 July 2024. We did not apply any language restrictions. SELECTION CRITERIA We included randomised or quasi-randomised controlled trials that evaluated precision nutrition-based interventions (accounting for 'omics' such as phenotyping, genotyping, gut microbiome; clinical data, baseline dietary intake, postprandial glucose response, etc., and/or including artificial intelligence such as machine learning methods) compared to general or one-size-fits-all interventions or no intervention in children and adolescents aged 0 to 9 years or 10 to 19 years with overweight or obesity. DATA COLLECTION AND ANALYSIS Two review authors independently conducted study screening, data extraction, and risk of bias and GRADE assessments. We used fixed-effect analyses. Our outcomes of interest were physical and mental well-being, physical activity, health-related quality of life, obesity-associated disability, and adverse events associated with the interventions as defined or measured by trialists, and weight change (reduction, stabilisation or maintenance). MAIN RESULTS Two studies (3 references, 105 participants) conducted in Ukraine and Greece met our eligibility criteria. One study reported nonprofit funding sources, whilst the other did not report funding, and the certainty of evidence ranged from very low to low across outcomes (all measured at endpoint). Only one trial (65 participants) contributed data on our primary outcomes of interest. Precision nutrition-based intervention versus one-size-fits-all intervention or standard of care In children 0 to 9 years of age, evidence is very uncertain about the effect of a precision nutrition-based intervention (a computerised Decision Support Tool (DST) that incorporates a variety of participant data and provides personalised diet recommendations based on decision-tree algorithms) on body mass index (BMI) (mean difference (MD) -1.40 kg/m2, 95% confidence interval (CI) -3.48 to 0.68; 1 study, 35 participants; very low-certainty evidence) and on weight (MD -2.60 kg, 95% CI -8.42 to 3.22; 1 study, 35 participants; very low-certainty evidence) compared with a one-size-fits-all control intervention. In children and adolescents 10 to 19 years of age, evidence is very uncertain about the effect of a precision nutrition-based intervention (computerised DST) on BMI (MD 3.00 kg/m2, 95% CI -0.26 to 6.26; 1 study, 30 participants; very low-certainty evidence) and on weight (MD 11.40 kg, 95% CI -0.47 to 23.27; 1 study, 30 participants; very low-certainty evidence) compared with a one-size-fits-all control intervention. AUTHORS' CONCLUSIONS Based on data from two small studies with a total of 105 participants, the evidence is very uncertain about the effect of precision nutrition-based interventions on body weight or BMI. This review was limited by the number of available randomised controlled trials in this relatively nascent field. Given these limitations, the two studies do not provide sufficient evidence to adequately inform practice. Future research should report participant outcome data, including outcomes related to mental, emotional, and functional well-being, in addition to biochemical and physical measures, stratified by World Health Organization-defined age groups (children (0 to 9 years), and children and adolescents (10 to 19 years)). Future studies should also report methods related to randomisation, blinding, and compliance, as well as include prespecified analysis plans.
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Affiliation(s)
- Samantha L Huey
- Cornell Joan Klein Jacobs Center for Precision Nutrition and Health, Cornell University, Ithaca, NY, USA
- Division of Nutritional Sciences, Cornell University, Ithaca, NY, USA
| | - Neel H Mehta
- Division of Nutritional Sciences, Cornell University, Ithaca, NY, USA
| | - Ruth S Steinhouse
- Division of Nutritional Sciences, Cornell University, Ithaca, NY, USA
| | - Yue Jin
- Division of Nutritional Sciences, Cornell University, Ithaca, NY, USA
| | - Matthew Kibbee
- Albert R. Mann Library, Cornell University, Ithaca, NY, USA
| | - Rebecca Kuriyan
- Division of Nutrition, St Johns Research Institute, Bengaluru, India
| | - Julia L Finkelstein
- Cornell Joan Klein Jacobs Center for Precision Nutrition and Health, Cornell University, Ithaca, NY, USA
- Division of Nutritional Sciences, Cornell University, Ithaca, NY, USA
| | - Saurabh Mehta
- Cornell Joan Klein Jacobs Center for Precision Nutrition and Health, Cornell University, Ithaca, NY, USA
- Division of Nutritional Sciences, Cornell University, Ithaca, NY, USA
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Rasaei N, Fatemi SF, Gholami F, Samadi M, Mohammadian MK, Daneshzad E, Mirzaei K. Interaction of genetics risk score and fatty acids quality indices on healthy and unhealthy obesity phenotype. BMC Med Genomics 2025; 18:16. [PMID: 39838481 PMCID: PMC11753101 DOI: 10.1186/s12920-024-02066-4] [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: 04/26/2024] [Accepted: 12/13/2024] [Indexed: 01/23/2025] Open
Abstract
BACKGROUND The growth in obesity and rates of abdominal obesity in developing countries is due to the dietary transition, meaning a shift from traditional, fiber-rich diets to Westernized diets high in processed foods, sugars, and unhealthy fats. Environmental changes, such as improving the quality of dietary fat consumed, may be useful in preventing or mitigating the obesity or unhealthy obesity phenotype in individuals with a genetic predisposition, although this has not yet been confirmed. Therefore, in this study, we investigated how dietary fat quality indices with metabolically healthy obesity (MHO) or metabolically unhealthy obesity (MUO) based on the Karelis criterion interact with genetic susceptibility in Iranian female adults. METHODS In the current cross-sectional study, 279 women with overweight or obesity participated. Dietary intake was assessed using a 147-item food frequency questionnaire and dietary fat quality was assessed using the cholesterol-saturated fat index (CSI) and the ratio of omega-6/omega-3 (N6/N3) essential fatty acids. Three single nucleotide polymorphisms-MC4R (rs17782313), CAV-1 (rs3807992), and Cry-1(rs2287161) were genotyped by the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) technique and were combined to produce the genetic risk score (GRS). Body composition was evaluated using a multi-frequency bioelectrical impedance analyzer. Participants were divided into MHO or MUO phenotypes after the metabolic risk assessment based on the Karelis criteria. RESULTS We found significant interactions between GRS and N6/N3 in the adjusted model controlling for confounding factors (age, body mass index, energy, and physical activity) (β = 2.26, 95% CI: 0.008 to 4.52, P = 0.049). In addition, we discovered marginally significant interactions between GRS and N6/N3 in crude (β = 1.92, 95% CI: -0.06 to 3.91, P = 0.058) and adjusted (age and energy) (β = 2.00, 95% CI: -0.05 to 4.05, P = 0.057) models on the MUH obesity phenotype. However, no significant interactions between GRS and CSI were shown in both crude and adjusted models. CONCLUSION This study highlights the importance of personalized nutrition and recommends further study of widely varying fat intake based on the findings on gene-N6/N3 PUFA interactions.
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Affiliation(s)
- Niloufar Rasaei
- Micronutrient Research Center, Research Institute for Endocrine Disorders, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Seyedeh Fatemeh Fatemi
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Mashhad University of Medical Science, Mashhad, Iran
- Student research committee, Mashhad University of medical sciences, Mashhad, Iran
| | - Fatemeh Gholami
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran
- Cardiovascular Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | - Mahsa Samadi
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | | | - Elnaz Daneshzad
- Non-Communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran
| | - Khadijeh Mirzaei
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran.
- Food Microbiology Research Center, Tehran University of Medical Sciences, Tehran, Iran.
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Teymoori F, Farhadnejad H, Norouzzadeh M, Jahromi MK, Saber N, Mokhtari E, Asghari G, Yuzbashian E, Mirmiran P, Khalaj A, Zarkesh M, Hedayati M, Vafa M. The relationship between dietary branched-chain and aromatic amino acids with the regulation of leptin and FTO genes in adipose tissue of patients undergoing abdominal surgery. Amino Acids 2025; 57:8. [PMID: 39798053 PMCID: PMC11724777 DOI: 10.1007/s00726-024-03441-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2024] [Accepted: 12/28/2024] [Indexed: 01/13/2025]
Abstract
Recent studies have suggested that the interaction between diet and an individual's genetic predisposition can determine the likelihood of obesity and various metabolic disorders. The current study aimed to examine the association of dietary branched-chain amino acids(BCAAs) and aromatic amino acids(AAAs) with the expression of the leptin and FTO genes in the visceral and subcutaneous adipose tissues of individuals undergoing surgery. This cross-sectional study was conducted on 136 Iranian adults, both men and women, aged ≥18 years. The samples were selected from patients admitted for abdominal surgeries. The dietary intake of BCAAs and AAAs was determined using a valid and reliable 168-item food frequency questionnaire. Using the quantitative PCR method, leptin and FTO mRNA expression was measured in both visceral and subcutaneous fat tissues. The mean age of the participants was 39.8 ± 12.7 years, and the mean intake of BCAAs and AAAs was 17.7 ± 0.9 and 9.3 ± 0.3% of protein per day, respectively. In overweight-obese patients(body mass index = 25-34.9 kg/m2), the intake of BCAAs(β:-0.75,95%CI:-1.47,-0.03), valine(β:-0.78,95%CI:-1.51,-0.05), and tyrosine(β:-0.81,95%CI:-1.55,-0.06) was inversely associated with FTO gene expression in subcutaneous fat tissue in adjusted model. In morbidly obese patients(body mass index ≥ 35 kg/m2), a higher intake of total BCAAs(β:1.10,95%CI:0.07-2.13), leucine(β:1.07,95%CI:0.03-2.13), and isoleucine(β:1.49,95%CI:0.46-2.52) was associated with an increase of leptin gene expression in subcutaneous fat tissue. Our findings suggest that dietary BCAA may associated with gene expression in adipose tissues, potentially influencing obesity-related metabolic pathways. Further prospective studies are warranted to validate results and elucidate the potential for dietary interventions targeting amino acids intake in obesity management.
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Affiliation(s)
- Farshad Teymoori
- Nutritional Sciences Research Center, Iran University of Medical Sciences, Tehran, Iran
- Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Hossein Farhadnejad
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Disorders, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mostafa Norouzzadeh
- Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Disorders, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mitra Kazemi Jahromi
- Endocrinology and Metabolism Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | - Niloufar Saber
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Disorders, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Ebrahim Mokhtari
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Disorders, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Department of Community Nutrition, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Golaleh Asghari
- Department of Clinical Nutrition and Dietetics, Faculty of Nutrition Sciences and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Emad Yuzbashian
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
- Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Molecular Biology, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Parvin Mirmiran
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Disorders, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Alireza Khalaj
- Department of Surgery, Tehran Obesity Treatment Center, Shahed University, Tehran, Iran
| | - Maryam Zarkesh
- Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Molecular Biology, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Mehdi Hedayati
- Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Molecular Biology, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammadreza Vafa
- Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.
- Department of Nutrition, Faculty of Public Health, Iran University of Medical Sciences, Tehran, Iran.
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Şengün N, Pala R, Çınar V, Akbulut T, Larion A, Padulo J, Russo L, Migliaccio GM. Alterations in Biomarkers Associated with Cardiovascular Health and Obesity with Short-Term Lifestyle Changes in Overweight Women: The Role of Exercise and Diet. MEDICINA (KAUNAS, LITHUANIA) 2024; 60:2019. [PMID: 39768899 PMCID: PMC11727739 DOI: 10.3390/medicina60122019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2024] [Revised: 12/01/2024] [Accepted: 12/04/2024] [Indexed: 01/16/2025]
Abstract
Background and Objectives: In this study, the effects of an eight-week exercise and nutrition program on blood lipids, glucose, insulin, insulin resistance (HOMA-IR), leptin, ghrelin, irisin, malondialdehyde (MDA), and Growth Differentiation Factor 15 (GDF15) in overweight women were investigated. Materials and Methods: A total of 48 women volunteers participated in this study. The participants were randomly divided into four groups: control (C), exercise (E), nutrition (N), exercise + nutrition (E + N). While no intervention was applied to group C, the other groups participated in the predetermined programs for 8 weeks. At the beginning and end of this study, body composition was measured and blood samples were taken. Results: It was determined that the body composition components, lipid profile indicators, insulin, glucose, insulin resistance, leptin, ghrelin, irisin, and MDA parameters examined in this study showed positive changes in the intervention groups. Group E had a greater effect on body muscle percentage, MDA, and irisin levels, while group N had a greater effect on blood lipids and ghrelin levels. Conclusions: As a result, it is thought that lifestyle changes are important to improve cardiovascular health and combat obesity, and that maintaining a healthy diet together with exercise may be more effective.
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Affiliation(s)
- Nezihe Şengün
- Department of Nutrition and Dietetics, Faculty of Health Sciences, Istanbul Kültür University, Istanbul 34158, Turkey;
| | - Ragıp Pala
- Department of Coaching Education, Faculty of Sports Science, Fırat University, Elazig 23119, Turkey; (R.P.)
| | - Vedat Çınar
- Department of Physical Education and Sport, Faculty of Sports Science, Fırat University, Elazig 23119, Turkey;
| | - Taner Akbulut
- Department of Coaching Education, Faculty of Sports Science, Fırat University, Elazig 23119, Turkey; (R.P.)
| | - Alin Larion
- Faculty of Physical Education, Ovidius University of Constanta, 900029 Constanta, Romania;
| | - Johnny Padulo
- Department of Biomedical Sciences for Health, Università degli Studi di Milano, 20133 Milan, Italy;
| | - Luca Russo
- Department of Theoretical and Applied Sciences, eCampus University, 22060 Novedrate, Italy
| | - Gian Mario Migliaccio
- Department of Human Sciences and Promotion of the Quality of Life, San Raffaele Rome Open University, 00166 Rome, Italy
- Athlete Physiology, Psychology and Nutrition Unit, Maxima Performa, 20126 Milan, Italy
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Han HY, Masip G, Meng T, Nielsen DE. Interactions between Polygenic Risk of Obesity and Dietary Factors on Anthropometric Outcomes: A Systematic Review and Meta-Analysis of Observational Studies. J Nutr 2024; 154:3521-3543. [PMID: 39393497 DOI: 10.1016/j.tjnut.2024.10.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2024] [Revised: 10/02/2024] [Accepted: 10/04/2024] [Indexed: 10/13/2024] Open
Abstract
BACKGROUND Diet is an important determinant of health and may moderate genetic susceptibility to obesity, but meta-analyses of available evidence are lacking. OBJECTIVES This study aimed to systematically review and meta-analyze evidence on the moderating effect of diet on genetic susceptibility to obesity, assessed with polygenic risk scores (PRS). METHODS A systematic search was conducted using MEDLINE, EMBASE, Web of Science, and the Cochrane Library to retrieve observational studies that examined PRS-diet interactions on obesity-related outcomes. Dietary exposures of interest included diet quality/dietary patterns and consumption of specific food and beverage groups. Random-effects meta-analyses were performed for pooled PRS- healthy eating index (HEI) interaction coefficients on body mass index (BMI) (on the basis of data from 4 cohort studies) and waist circumference (WC) (on the basis of data from 3 cohort studies). RESULTS Out of 36 retrieved studies, 78% were conducted among European samples. Twelve out of 21 articles examining dietary indices/patterns, and 16 out of 21 articles examining food/beverage groups observed some significant PRS-diet interactions. However, within many articles, findings are inconsistent when testing different combinations of obesity PRS-dietary factors and outcomes. Nevertheless, higher HEI scores and adherence to plant-based dietary patterns emerged as the more prominent diet quality/patterns that moderated genetic susceptibility to obesity, whereas higher consumption of fruits and vegetables, and lower consumption of fried foods and sugar-sweetened beverages emerged as individual food/beverage moderators. Results from the meta-analysis suggest that a higher HEI attenuates genetic susceptibility on BMI (pooled PRS∗HEI coefficient: -0.08; 95% confidence interval (CI): -0.15, 0.00; P = 0.0392) and WC (-0.37; 95% CI: -0.60, -0.15; P = 0.0013). CONCLUSIONS Current observational evidence suggests a moderating role of overall diet quality in polygenic risk of obesity. Future research should aim to identify genetic loci that interact with dietary exposures on anthropometric outcomes and conduct analyses among diverse ethnic groups. TRIAL REGISTRATION NUMBER This study was registered at the International Prospective Register of Systematic Reviews as CRD42022312289.
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Affiliation(s)
- Hannah Yang Han
- School of Human Nutrition, McGill University, Sainte-Anne-de-Bellevue, QC, Canada
| | - Guiomar Masip
- School of Human Nutrition, McGill University, Sainte-Anne-de-Bellevue, QC, Canada; GENUD (Growth, Exercise, Nutrition and Development) Research Group, Facultad de Ciencias de la Salud, Universidad de Zaragoza, Instituto Agroalimentario de Aragón (IA2), Instituto de Investigación Sanitaria de Aragón (IISA), Zaragoza, Spain; Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Tongzhu Meng
- School of Human Nutrition, McGill University, Sainte-Anne-de-Bellevue, QC, Canada
| | - Daiva E Nielsen
- School of Human Nutrition, McGill University, Sainte-Anne-de-Bellevue, QC, Canada.
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Asiabar AS, Rezaei MA, Jafarzadeh D, Rajaei S, Atefimanesh P, Soleimanpour S, Meher MHK, Azari S. The cost-effectiveness analysis of semaglutide for the treatment of adult and adolescent patients with overweight and obesity: a systematic review. Eur J Clin Pharmacol 2024; 80:1857-1870. [PMID: 39254692 DOI: 10.1007/s00228-024-03755-w] [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: 05/03/2024] [Accepted: 08/31/2024] [Indexed: 09/11/2024]
Abstract
PURPOSE The present study aimed to systematically collect and synthesize available cost-effectiveness studies of semaglutide in patients with obesity or overweight in comparison with other interventions. METHODS We comprehensively searched multiple electronic databases to identify relevant literature. Studies were selected based on inclusion and exclusion criteria. The quality of studies was appraised using the "Consolidated Health Economic Evaluation Reporting Standards" (CHEERS) tool. This study is conducted and reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. RESULTS Out of a total of 252 items, after review, 32 articles were fully reviewed, and, finally, 7 studies met inclusion and exclusion criteria. The discount rate was in the range of 1.5-3.5%. Studies included showed semaglutide offered more QALYs than anti-obesity drugs but because of higher cost, in some cases, ICER exceeds the willingness to pay threshold. Results show that semaglutide creates higher total cost compared to conventional interventions in patients with class I, II, and III obesities. Results show that in patients with class I obesity (BMI 33) lifestyle intervention (LI), endoscopic sleeve gastroplasty (ESG), Sleeve gastrectomy (SG), and semaglutide create $124,195; $126,732; $139,971; and $370,776, respectively. CONCLUSION The current systematic review showed that semaglutide provides more QALYs and creates more costs in comparison with phentermine-topiramate, phentermine, and naltrexone-bupropion. Semaglutide may be cost-effective with substantial cost reduction. Semaglutide appears to be cost-effective versus diet and exercise (D&E) and liraglutide but it was not cost-effective versus sleeve gastrectomy, endoscopic sleeve gastroplasty, and gastric bypass.
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Affiliation(s)
- Ali Sarabi Asiabar
- Health Management and Economics Research Center, Health Management Research Institute, Iran University of Medical Sciences, Tehran, Iran
- Minimally Invasive Surgery Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Mohammad Ali Rezaei
- Hospital Management Research Center, Health Management Research Institute, Iran University of Medical Sciences, Tehran, Iran
| | - Dariush Jafarzadeh
- Research Center for Emergency and Disaster Resilience, Red Crescent Society of the Islamic Republic of Iran, Tehran, Iran
| | - Soheila Rajaei
- Research Center for Emergency and Disaster Resilience, Red Crescent Society of the Islamic Republic of Iran, Tehran, Iran
| | - Pezhman Atefimanesh
- Health Promotion Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Samira Soleimanpour
- Educational Development Center, Iran University of Medical Sciences, Tehran, Iran
| | | | - Samad Azari
- Hospital Management Research Center, Health Management Research Institute, Iran University of Medical Sciences, Tehran, Iran.
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9
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Lenhart A, Ahsan A, McHaty M, Bergland AO. Improvement of starvation resistance via periodic fasting is genetically variable in Drosophila melanogaster. PHYSIOLOGICAL ENTOMOLOGY 2024; 49:270-278. [PMID: 39130127 PMCID: PMC11315414 DOI: 10.1111/phen.12443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Accepted: 04/23/2024] [Indexed: 08/13/2024]
Abstract
Organisms subjected to periodic nutrient limitation early in life exhibit improvements in aspects of survival, including resistance to some environmental stressors. Recent findings indicate that forms of periodic fasting such as intermittent fasting and time restricted feeding can improve starvation resistance. However, it remains unclear to what extent this survival improvement persists across different genetic backgrounds. In this study, we examine fasting-induced starvation resistance across a broad survey of wild-derived lineages and document genetic variation within this trait. We adopt a standard dietary intervention and show improvement to starvation resistance within a common laboratory lineage, replicating previous results. Next, we examine fasting-induced starvation resistance across isofemale lines collected across latitudes and in different seasons, and among inbred lines derived from flies collected on different continents. We discover genetic variation of fasting-induced starvation resistance, and show that fasting improved starvation resistance as often as it worsened starvation resistance. Fasted flies generally showed reduced fat concentration, and their starvation survival varied with sex, season of collection, and geographic origin. While specific lineages common to the laboratory can show a specific fasting-induced phenotype, we show that this result is not consistent across genetic backgrounds, reinforcing the idea that phenotypes observed in historic laboratory strains may not be conserved across a species.
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Affiliation(s)
- Adam Lenhart
- Department of Biology, University of Virginia, Charlottesville, Virginia, 22554
| | - Ayesha Ahsan
- Department of Biology, University of Virginia, Charlottesville, Virginia, 22554
| | - Margaret McHaty
- Department of Biology, University of Virginia, Charlottesville, Virginia, 22554
| | - Alan O. Bergland
- Department of Biology, University of Virginia, Charlottesville, Virginia, 22554
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Agrawal P, Kaur J, Singh J, Rasane P, Sharma K, Bhadariya V, Kaur S, Kumar V. Genetics, Nutrition, and Health: A New Frontier in Disease Prevention. JOURNAL OF THE AMERICAN NUTRITION ASSOCIATION 2024; 43:326-338. [PMID: 38015713 DOI: 10.1080/27697061.2023.2284997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 11/03/2023] [Accepted: 11/14/2023] [Indexed: 11/30/2023]
Abstract
The field of nutrition research has traditionally focused on the effects of macronutrients and micronutrients on the body. However, it has become evident that individuals have unique genetic makeups that influence their response to food. Nutritional genomics, which includes nutrigenetics and nutrigenomics, explores the interaction between an individual's genetic makeup, diet, and health outcomes. Nutrigenetics studies the impact of genetic variation on an individual's response to dietary nutrients, while nutrigenomics investigates how dietary components affect gene regulation and expression. These disciplines seek to understand the impact of diet on the genome, transcriptome, proteome, and metabolome. It provides insights into the mechanisms underlying the effect of diet on gene expression. Nutrients can cause the modification of genetic expression through epigenetic changes, such as DNA methylation and histone modifications. The aim of nutrigenomics is to create personalized diets based on the unique metabolic profile of an individual, gut microbiome, and genetic makeup to prevent diseases and promote health. Nutrigenomics has the potential to revolutionize the field of nutrition by combining the practicality of personalized nutrition with knowledge of genetic factors underlying health and disease. Thus, nutrigenomics offers a promising approach to improving health outcomes (in terms of disease prevention) through personalized nutrition strategies based on an individual's genetic and metabolic characteristics.
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Affiliation(s)
- Piyush Agrawal
- Department of Food Technology and Nutrition, School of Agriculture, Lovely Professional University, Phagwara, India
| | - Jaspreet Kaur
- Department of Food Technology and Nutrition, School of Agriculture, Lovely Professional University, Phagwara, India
| | - Jyoti Singh
- Department of Food Technology and Nutrition, School of Agriculture, Lovely Professional University, Phagwara, India
| | - Prasad Rasane
- Department of Food Technology and Nutrition, School of Agriculture, Lovely Professional University, Phagwara, India
| | - Kartik Sharma
- Faculty of Agro-Industry, Prince of Songkla University, Songkla, Thailand
| | - Vishesh Bhadariya
- School of Chemical Engineering, Oklahoma State University, Stillwater, Oklahoma, USA
| | - Sawinder Kaur
- Department of Food Technology and Nutrition, School of Agriculture, Lovely Professional University, Phagwara, India
| | - Vikas Kumar
- Department of Food Science and Technology, Punjab Agricultural University, Ludhiana, India
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11
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Rasaei N, Daneshzad E, Khadem A, Gholami F, Samadi M, Mirzaei K. Investigation of the interaction between genetic risk score (GRS) and fatty acid quality indices on metabolic syndrome among overweight and obese women. BMC Med Genomics 2024; 17:113. [PMID: 38685080 PMCID: PMC11057091 DOI: 10.1186/s12920-024-01838-2] [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: 02/26/2023] [Accepted: 02/27/2024] [Indexed: 05/02/2024] Open
Abstract
BACKGROUND AND AIM Metabolic syndrome is one of the major public-health challenges, affecting one-quarter of the world population. Fatty acid quality indices are novel determinants of this disease and their interactions with genetic factors may have an impact on metabolic syndrome risk. Therefore, we aimed to investigate the interaction between genetic risk score (GRS) and fatty acid quality indices with metabolic syndrome (MetS) among overweight and obese women. METHODS In the present cross-sectional study, 279 overweight and obese women (18-48 years old) were included. Several anthropometric measurements such as weight, height, body mass index (BMI), waist circumference (WC), and body fat percent (BF%) were measured. Also, systolic and diastolic blood pressure (SBP and DBP) were measured. Biochemical determination was performed for fasting blood glucose (FBS), triglyceride (TG), and high-density lipoprotein (HDL). MetS was determined according to National Cholesterol Education Program (NCEP ATP III) criteria. Dietary intake was evaluated by a validated and reliable 147-item semi-quantitative food frequency questionnaire. Cholesterol-saturated fat index (CSI) and the ratio of omega-6/omega-3 (ω-6/ω-3) essential fatty acids were considered as fat quality indices. The salting-out method was used to extract the total DNA. The unweighted GRS was calculated using the risk alleles of the three single nucleotide polymorphisms. The total average GRS value was 2 and the sum of the risk alleles of the 3 polymorphisms was 6. RESULT The results of our analysis showed that after controlling for age, energy intake, BMI, and physical activity, there was a positive interaction between T2 of GRS and T2 of N6/N3 ratio on WC (β = 7.95, 95%CI = 0.83,15.08, P = 0.029), T3 of GRS and T2 of N6/N3 ratio on DBP (β = 5.93, 95%CI= -0.76,12.63, P = 0.083), and FBS (β = 6.47, 95%CI = 0.59,13.53, P = 0.073), T3 of GRS and T3 of N6/N3 ratio on TG (β = 54.42, 95%CI = 1.76,107.08, P = 0.043), and T3 of GRS and T3 of CSI on BF% (β = 3.55, 95%CI= -0.35,7.45, P = 0.075). Also T2 of GRS in the interaction with T3 of CSI leads to an decrease - 8.35 mg/dl in HDL level after adjustment in (β= -8.35, 95%CI= -17.34,0.62, P = 0.068). CONCLUSION It seems the interaction of GRS and fatty acid quality indices is positively associated with several components of metabolic syndrome such as WC, TG and BF%. Our findings are of importance to public health, considering the high consumption of foods that are high on fatty acids. Conflicting evidence of many previous studies regarding the effect of fat intake and obesity and cardiovascular diseases could be because of the gene-diet interactions and genetic heterogeneity across various ethnic groups. Hence, the synergism effect of genetic and dietay intakes should be considered in future studies.
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Affiliation(s)
- Niloufar Rasaei
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, P. O. Box: 14155-6117, Iran
| | - Elnaz Daneshzad
- Non-Communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran
| | - Alireza Khadem
- Department of Nutrition, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Fatemeh Gholami
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, P. O. Box: 14155-6117, Iran
| | - Mahsa Samadi
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, P. O. Box: 14155-6117, Iran
| | - Khadijeh Mirzaei
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, P. O. Box: 14155-6117, Iran.
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12
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Mehta NH, Huey SL, Kuriyan R, Peña-Rosas JP, Finkelstein JL, Kashyap S, Mehta S. Potential Mechanisms of Precision Nutrition-Based Interventions for Managing Obesity. Adv Nutr 2024; 15:100186. [PMID: 38316343 PMCID: PMC10914563 DOI: 10.1016/j.advnut.2024.100186] [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: 09/20/2023] [Revised: 01/17/2024] [Accepted: 02/01/2024] [Indexed: 02/07/2024] Open
Abstract
Precision nutrition (PN) considers multiple individual-level and environmental characteristics or variables to better inform dietary strategies and interventions for optimizing health, including managing obesity and metabolic disorders. Here, we review the evidence on potential mechanisms-including ones to identify individuals most likely to respond-that can be leveraged in the development of PN interventions addressing obesity. We conducted a review of the literature and included laboratory, animal, and human studies evaluating biochemical and genetic data, completed and ongoing clinical trials, and public programs in this review. Our analysis describes the potential mechanisms related to 6 domains including genetic predisposition, circadian rhythms, physical activity and sedentary behavior, metabolomics, the gut microbiome, and behavioral and socioeconomic characteristics, i.e., the factors that can be leveraged to design PN-based interventions to prevent and treat obesity-related outcomes such as weight loss or metabolic health as laid out by the NIH 2030 Strategic Plan for Nutrition Research. For example, single nucleotide polymorphisms can modify responses to certain dietary interventions, and epigenetic modulation of obesity risk via physical activity patterns and macronutrient intake have also been demonstrated. Additionally, we identified limitations including questions of equitable implementation across a limited number of clinical trials. These include the limited ability of current PN interventions to address systemic influences such as supply chains and food distribution, healthcare systems, racial or cultural inequities, and economic disparities, particularly when designing and implementing PN interventions in low- and middle-income communities. PN has the potential to help manage obesity by addressing intra- and inter-individual variation as well as context, as opposed to "one-size fits all" approaches though there is limited clinical trial evidence to date.
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Affiliation(s)
- Neel H Mehta
- Division of Nutritional Sciences, Cornell University, Ithaca, NY, United States
| | - Samantha L Huey
- Division of Nutritional Sciences, Cornell University, Ithaca, NY, United States; Center for Precision Nutrition and Health, Cornell University, Ithaca, NY, United States
| | - Rebecca Kuriyan
- Division of Nutrition, St. John's Research Institute, Bengaluru, Karnataka, India
| | - Juan Pablo Peña-Rosas
- Global Initiatives, The Department of Nutrition and Food Safety, World Health Organization, Geneva, Switzerland
| | - Julia L Finkelstein
- Division of Nutritional Sciences, Cornell University, Ithaca, NY, United States; Center for Precision Nutrition and Health, Cornell University, Ithaca, NY, United States; Division of Nutrition, St. John's Research Institute, Bengaluru, Karnataka, India
| | - Sangeeta Kashyap
- Division of Endocrinology, Diabetes and Metabolism, Weill Cornell Medicine New York Presbyterian, New York, NY, United States
| | - Saurabh Mehta
- Division of Nutritional Sciences, Cornell University, Ithaca, NY, United States; Center for Precision Nutrition and Health, Cornell University, Ithaca, NY, United States; Division of Medical Informatics, St. John's Research Institute, Bengaluru, Karnataka, India.
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13
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Mansour S, Alkhaaldi SMI, Sammanasunathan AF, Ibrahim S, Farhat J, Al-Omari B. Precision Nutrition Unveiled: Gene-Nutrient Interactions, Microbiota Dynamics, and Lifestyle Factors in Obesity Management. Nutrients 2024; 16:581. [PMID: 38474710 DOI: 10.3390/nu16050581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Revised: 02/05/2024] [Accepted: 02/18/2024] [Indexed: 03/14/2024] Open
Abstract
BACKGROUND Obesity is a complex metabolic disorder that is associated with several diseases. Recently, precision nutrition (PN) has emerged as a tailored approach to provide individualised dietary recommendations. AIM This review discusses the major intrinsic and extrinsic components considered when applying PN during the management of obesity and common associated chronic conditions. RESULTS The review identified three main PN components: gene-nutrient interactions, intestinal microbiota, and lifestyle factors. Genetic makeup significantly contributes to inter-individual variations in dietary behaviours, with advanced genome sequencing and population genetics aiding in detecting gene variants associated with obesity. Additionally, PN-based host-microbiota evaluation emerges as an advanced therapeutic tool, impacting disease control and prevention. The gut microbiome's composition regulates diverse responses to nutritional recommendations. Several studies highlight PN's effectiveness in improving diet quality and enhancing adherence to physical activity among obese patients. PN is a key strategy for addressing obesity-related risk factors, encompassing dietary patterns, body weight, fat, blood lipids, glucose levels, and insulin resistance. CONCLUSION PN stands out as a feasible tool for effectively managing obesity, considering its ability to integrate genetic and lifestyle factors. The application of PN-based approaches not only improves current obesity conditions but also holds promise for preventing obesity and its associated complications in the long term.
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Affiliation(s)
- Samy Mansour
- College of Medicine and Health Sciences, Khalifa University of Science and Technology, Abu Dhabi P.O. Box 127788, United Arab Emirates
| | - Saif M I Alkhaaldi
- College of Medicine and Health Sciences, Khalifa University of Science and Technology, Abu Dhabi P.O. Box 127788, United Arab Emirates
| | - Ashwin F Sammanasunathan
- College of Medicine and Health Sciences, Khalifa University of Science and Technology, Abu Dhabi P.O. Box 127788, United Arab Emirates
| | - Saleh Ibrahim
- College of Medicine and Health Sciences, Khalifa University of Science and Technology, Abu Dhabi P.O. Box 127788, United Arab Emirates
- Institute of Experimental Dermatology, University of Lübeck, Ratzeburger Allee 160, 23538 Lübeck, Germany
| | - Joviana Farhat
- Department of Public Health and Epidemiology, College of Medicine and Health Sciences, Khalifa University of Science and Technology, Abu Dhabi P.O. Box 127788, United Arab Emirates
| | - Basem Al-Omari
- Department of Public Health and Epidemiology, College of Medicine and Health Sciences, Khalifa University of Science and Technology, Abu Dhabi P.O. Box 127788, United Arab Emirates
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14
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Mudunuri A, Chandrakanth M, Khan S, Sura C, Kumar N, Tung S. Diet-induced plasticity of life-history traits and gene expression in outbred Drosophila melanogaster population. Ecol Evol 2024; 14:e10976. [PMID: 38343564 PMCID: PMC10857930 DOI: 10.1002/ece3.10976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 12/04/2023] [Accepted: 12/18/2023] [Indexed: 02/28/2024] Open
Abstract
Food is fundamental for the survival of organisms, governing growth, maintenance, and reproduction through the provision of essential macronutrients. However, access to food with optimum macronutrient composition, which will maximize the evolutionary fitness of an organism, is not always guaranteed. This leads to dietary mismatches with potential impacts on organismal performance. To understand the consequences of such dietary mismatches, we examined the effects of isocaloric diets varying in macronutrient composition on eight key organismal traits spanning across the lifespan of a large outbred Drosophila melanogaster population (n ~ 2500). Our findings reveal that carbohydrate-reduced isocaloric diets correlates to accelerated pre-adult development and boosts reproductive output without impacting pre-adult viability and body size. Conversely, an elevated dietary carbohydrate content correlated to reduced lifespan in flies, evidenced by accelerated functional senescence including compromised locomotor activity and deteriorating gut integrity. Furthermore, transcriptomic analysis indicated a substantial difference in gene regulatory landscapes between flies subject to high-carbohydrate versus high-protein diet, with elevated protein levels indicating transcriptomes primed for reduced synthesis of fatty acids. Taken together, our study helps advance our understanding of the effect of macronutrient composition on life history traits and their interrelations, offering critical insights into potential adaptive strategies that organisms might adopt against the continual dietary imbalances prevalent in the rapidly evolving environment.
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Affiliation(s)
- Akhila Mudunuri
- Integrated Genetics and Evolution Laboratory (IGEL), Department of BiologyAshoka UniversitySonipatHaryanaIndia
- Present address:
Centre for the Advanced Study of Collective BehaviorUniversity of KonstanzKonstanzGermany
- Present address:
International Max Planck Research School for Quantitative Behavior, Ecology and EvolutionKonstanzGermany
- Present address:
Department of BiologyUniversity of KonstanzKonstanzGermany
| | - Mohankumar Chandrakanth
- Integrated Genetics and Evolution Laboratory (IGEL), Department of BiologyAshoka UniversitySonipatHaryanaIndia
| | - Soumen Khan
- Indian Institute of Science Education and Research (IISER) PunePuneMaharashtraIndia
- Present address:
Soumen Khan, Epigenetics DepartmentThe Babraham InstituteCambridgeUK
| | - Chand Sura
- Integrated Genetics and Evolution Laboratory (IGEL), Department of BiologyAshoka UniversitySonipatHaryanaIndia
| | - Nishant Kumar
- Integrated Genetics and Evolution Laboratory (IGEL), Department of BiologyAshoka UniversitySonipatHaryanaIndia
| | - Sudipta Tung
- Integrated Genetics and Evolution Laboratory (IGEL), Department of BiologyAshoka UniversitySonipatHaryanaIndia
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15
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Butcko AJ, Putman AK, Mottillo EP. The Intersection of Genetic Factors, Aberrant Nutrient Metabolism and Oxidative Stress in the Progression of Cardiometabolic Disease. Antioxidants (Basel) 2024; 13:87. [PMID: 38247511 PMCID: PMC10812494 DOI: 10.3390/antiox13010087] [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: 11/14/2023] [Revised: 12/06/2023] [Accepted: 01/07/2024] [Indexed: 01/23/2024] Open
Abstract
Cardiometabolic disease (CMD), which encompasses metabolic-associated fatty liver disease (MAFLD), chronic kidney disease (CKD) and cardiovascular disease (CVD), has been increasing considerably in the past 50 years. CMD is a complex disease that can be influenced by genetics and environmental factors such as diet. With the increased reliance on processed foods containing saturated fats, fructose and cholesterol, a mechanistic understanding of how these molecules cause metabolic disease is required. A major pathway by which excessive nutrients contribute to CMD is through oxidative stress. In this review, we discuss how oxidative stress can drive CMD and the role of aberrant nutrient metabolism and genetic risk factors and how they potentially interact to promote progression of MAFLD, CVD and CKD. This review will focus on genetic mutations that are known to alter nutrient metabolism. We discuss the major genetic risk factors for MAFLD, which include Patatin-like phospholipase domain-containing protein 3 (PNPLA3), Membrane Bound O-Acyltransferase Domain Containing 7 (MBOAT7) and Transmembrane 6 Superfamily Member 2 (TM6SF2). In addition, mutations that prevent nutrient uptake cause hypercholesterolemia that contributes to CVD. We also discuss the mechanisms by which MAFLD, CKD and CVD are mutually associated with one another. In addition, some of the genetic risk factors which are associated with MAFLD and CVD are also associated with CKD, while some genetic risk factors seem to dissociate one disease from the other. Through a better understanding of the causative effect of genetic mutations in CMD and how aberrant nutrient metabolism intersects with our genetics, novel therapies and precision approaches can be developed for treating CMD.
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Affiliation(s)
- Andrew J. Butcko
- Hypertension and Vascular Research Division, Henry Ford Hospital, 6135 Woodward Avenue, Detroit, MI 48202, USA; (A.J.B.); (A.K.P.)
- Department of Physiology, Wayne State University, 540 E. Canfield Street, Detroit, MI 48202, USA
| | - Ashley K. Putman
- Hypertension and Vascular Research Division, Henry Ford Hospital, 6135 Woodward Avenue, Detroit, MI 48202, USA; (A.J.B.); (A.K.P.)
- Department of Large Animal Clinical Sciences, College of Veterinary Medicine, Michigan State University, 784 Wilson Road, East Lansing, MI 48823, USA
| | - Emilio P. Mottillo
- Hypertension and Vascular Research Division, Henry Ford Hospital, 6135 Woodward Avenue, Detroit, MI 48202, USA; (A.J.B.); (A.K.P.)
- Department of Physiology, Wayne State University, 540 E. Canfield Street, Detroit, MI 48202, USA
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16
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Nemoto S, Kubota T, Ishikura T, Nakayama M, Kobayashi A, Yazaki J, Uchida K, Matsuda M, Kondo T, Ohara O, Koseki H, Koyasu S, Ohno H. Characterization of metabolic phenotypes and distinctive genes in mice with low-weight gain. FASEB J 2024; 38:e23339. [PMID: 38069905 DOI: 10.1096/fj.202301565r] [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: 08/03/2023] [Revised: 11/08/2023] [Accepted: 11/14/2023] [Indexed: 12/18/2023]
Abstract
Being overweight exacerbates various metabolic diseases, necessitating the identification of target molecules for obesity control. In the current study, we investigated common physiological features related to metabolism in mice with low weight gain: (1) G protein-coupled receptor, family C, group 5, member B-knockout; (2) gastric inhibitory polypeptide receptor-knockout; and (3) Iroquois-related homeobox 3-knockout. Moreover, we explored genes involved in metabolism by analyzing differentially expressed genes (DEGs) between low-weight gain mice and the respective wild-type control mice. The common characteristics of the low-weight gain mice were low inguinal white adipose tissue (iWAT) and liver weight despite similar food intake along with lower blood leptin levels and high energy expenditure. The DEGs of iWAT, epididymal (gonadal) WAT, brown adipose tissue, muscle, liver, hypothalamus, and hippocampus common to these low-weight gain mice were designated as candidate genes associated with metabolism. One such gene tetraspanin 7 (Tspan7) from the iWAT was validated using knockout and overexpressing mouse models. Mice with low Tspan7 expression gained more weight, while those with high Tspan7 expression gained less weight, confirming the involvement of the Tspan7 gene in weight regulation. Collectively, these findings suggest that the candidate gene list generated in this study contains potential target molecules for obesity regulation. Further validation and additional data from low-weight gain mice will aid in understanding the molecular mechanisms associated with obesity.
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Affiliation(s)
- Shino Nemoto
- Laboratory for Intestinal Ecosystem, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Tetsuya Kubota
- Laboratory for Intestinal Ecosystem, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Division of Diabetes and Metabolism, The Institute of Medical Science, Asahi Life Foundation, Tokyo, Japan
- Division of Cardiovascular Medicine, Toho University Ohashi Medical Center, Tokyo, Japan
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Tomoyuki Ishikura
- Laboratory for Developmental Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Manabu Nakayama
- Laboratory of Medical Omics Research, Department of Frontier Research and Development, Kazusa DNA Research Institute, Kisarazu, Chiba, Japan
| | - Atsuo Kobayashi
- Laboratory for Integrative Genomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Junshi Yazaki
- Laboratory for Integrative Genomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Kazuyo Uchida
- Laboratory for Intestinal Ecosystem, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Masashi Matsuda
- Laboratory for Developmental Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Takashi Kondo
- Laboratory for Developmental Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Osamu Ohara
- Laboratory for Integrative Genomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Department of Applied Genomics, Kazusa DNA Research Institute, Kisarazu, Chiba, Japan
| | - Haruhiko Koseki
- Laboratory for Developmental Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Shigeo Koyasu
- Laboratory for Immune Cell Systems, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Hiroshi Ohno
- Laboratory for Intestinal Ecosystem, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Laboratory for Immune Regulation, Graduate School of Medical and Pharmaceutical Sciences, Chiba University, Chiba, Japan
- Immunobiology Laboratory, Graduate School of Medical Life Science, Yokohama City University, Yokohama, Japan
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17
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Palma J, Maciejewska-Markiewicz D, Zgutka K, D Piotrowska K, Skonieczna-Żydecka K, Stachowska E. The analysis of fatty acids and their derivatives in the liver of C57BL/6 mice with long-term caloric restrictions. Prostaglandins Other Lipid Mediat 2023; 169:106764. [PMID: 37459907 DOI: 10.1016/j.prostaglandins.2023.106764] [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: 03/02/2023] [Revised: 07/03/2023] [Accepted: 07/08/2023] [Indexed: 07/29/2023]
Abstract
Caloric restriction (CR) is a dietetic intervention based on the reduction of daily calorie intake by 10-30 %. When subjected to CR, the organism adjusts its metabolism to the changing availability of key nutrients. However, fatty acids' content in organisms subjected to long-term CR has not been evaluated. The aim of the research was to analyze the influence of long-term CR on the contents of medium- and long-chain fatty acids, as well as on the contents of fatty acid derivatives in liver. The study was performed on C57BL female (n = 12) and male (n = 12) mice subjected to lifelong 30 % calorie restriction. Fatty acids were analyzed using gas chromatography, while fatty acid derivatives were analyzed with liquid chromatography. The dynamics of change of the lipid profile of the labeled fatty acids observed in the liver tissue confirms that lipolysis actively takes place in this organ when hungry. Moreover, it is highly possible that de novo synthesis of acids takes place, with the aim to ensure energy substrates to the body. Moreover, an increase of concentration was observed for fatty acid derivatives, those with anti-inflammatory properties (resolvin, LTX A4). However, there was no increase in the concentration of pro-inflammatory eicosanoids. The results suggest that it is important to take into consideration the introduction of appropriate supplements when using CR.
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Affiliation(s)
- J Palma
- Department of Biochemical Science, Pomeranian Medical University in Szczecin, Broniewskiego 24, 71-460 Szczecin, Poland
| | - D Maciejewska-Markiewicz
- Department of Human Nutrition and Metabolomics, Pomeranian Medical University in Szczecin, Broniewskiego 24, 71-460 Szczecin, Poland
| | - K Zgutka
- Department of Physiology in Health Sciences, Pomeranian Medical University in Szczecin, Zolnierska 54, 71-210 Szczecin, Poland
| | - K D Piotrowska
- Department of Physiology, Pomeranian Medical University in Szczecin, Powstańców Wlkp. 72, 70-111 Szczecin, Poland
| | - K Skonieczna-Żydecka
- Department of Biochemical Science, Pomeranian Medical University in Szczecin, Broniewskiego 24, 71-460 Szczecin, Poland
| | - E Stachowska
- Department of Human Nutrition and Metabolomics, Pomeranian Medical University in Szczecin, Broniewskiego 24, 71-460 Szczecin, Poland.
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18
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Wang B, Jadhav V, Odelade A, Chang E, Chang A, Harrison SH, Maldonado-Devincci AM, Graves JL, Han J. High fat diet reveals sex-specific fecal and liver metabolic alterations in C57BL/6J obese mice. Metabolomics 2023; 19:97. [PMID: 37999907 PMCID: PMC11651078 DOI: 10.1007/s11306-023-02059-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 10/18/2023] [Indexed: 11/25/2023]
Abstract
Obesity is a major health concern that poses significant risks for many other diseases, including diabetes, cardiovascular disease, and cancer. Prevalence of these diseases varies by biological sex. This study utilizes a mouse (C57BL/6J) model of obesity to analyze liver and fecal metabolic profiles at various time points of dietary exposure: 5, 9, and 12 months in control or high fat diet (HFD)-exposed mice. Our study discovered that the female HFD group has a more discernable perturbation and set of significant changes in metabolic profiles than the male HFD group. In the female mice, HFD fecal metabolites including pyruvate, aspartate, and glutamate were lower than control diet-exposed mice after both 9th and 12th month exposure time points, while lactate and alanine were significantly downregulated only at the 12th month. Perturbations of liver metabolic profiles were observed in both male and female HFD groups, compared to controls at the 12th month. Overall, the female HFD group showed higher lactate and glutathione levels compared to controls, while the male HFD group showed higher levels of glutamine and taurine compared to controls. These metabolite-based findings in both fecal and liver samples for a diet-induced effect of obesity may help guide future pioneering discoveries relating to the analysis and prevention of obesity in people, especially for females.
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Affiliation(s)
- Bo Wang
- Department of Chemistry and Chemical Engineering, Florida Institute of Technology, Melbourne, FL, 32901, USA
| | - Vidya Jadhav
- Department of Biology, College of Science and Technology, North Carolina Agricultural and Technical State University, Greensboro, NC, 27411, USA
| | - Anuoluwapo Odelade
- Department of Biology, College of Science and Technology, North Carolina Agricultural and Technical State University, Greensboro, NC, 27411, USA
| | - Evelyn Chang
- Program in Liberal Medical Education, Division of Biology and Medicine, Brown University, Providence, Rhode Island, 02912, USA
| | - Alex Chang
- Department of Animal Science, College of Agriculture and Life Sciences, Cornell University, Ithaca, NY, 14852, USA
| | - Scott H Harrison
- Department of Biology, College of Science and Technology, North Carolina Agricultural and Technical State University, Greensboro, NC, 27411, USA
| | - Antoinette M Maldonado-Devincci
- Department of Psychology, Hairston College of Health and Human Sciences, North Carolina Agricultural and Technical State University, Greensboro, 27411, USA
| | - Joseph L Graves
- Department of Biology, College of Science and Technology, North Carolina Agricultural and Technical State University, Greensboro, NC, 27411, USA
| | - Jian Han
- Department of Biology, College of Science and Technology, North Carolina Agricultural and Technical State University, Greensboro, NC, 27411, USA.
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19
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Tang H, Yang M. Nutritional Assessment in Patients with Chronic Diseases: Tools, Challenges, and Future Directions. Nutrients 2023; 15:4794. [PMID: 38004188 PMCID: PMC10674779 DOI: 10.3390/nu15224794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 11/13/2023] [Indexed: 11/26/2023] Open
Abstract
Chronic diseases, such as cardiovascular diseases, diabetes, cancer, and chronic respiratory diseases, are leading causes of morbidity and mortality worldwide [...].
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Affiliation(s)
- Huiyu Tang
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Ming Yang
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu 610041, China
- National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu 610041, China
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20
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Fajardo CM, Cerda A, Bortolin RH, de Oliveira R, Stefani TIM, Dos Santos MA, Braga AA, Dorea EL, Bernik MMS, Bastos GM, Sampaio MF, Damasceno NRT, Verlengia R, de Oliveira MRM, Hirata MH, Hirata RDC. Influence of polymorphisms in IRS1, IRS2, MC3R, and MC4R on metabolic and inflammatory status and food intake in Brazilian adults: An exploratory pilot study. Nutr Res 2023; 119:21-32. [PMID: 37716291 DOI: 10.1016/j.nutres.2023.08.008] [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: 02/15/2023] [Revised: 08/21/2023] [Accepted: 08/22/2023] [Indexed: 09/18/2023]
Abstract
Polymorphisms in genes of leptin-melanocortin and insulin pathways have been associated with obesity and type 2 diabetes. We hypothesized that polymorphisms in IRS1, IRS2, MC3R, and MC4R influence metabolic and inflammatory markers and food intake composition in Brazilian subjects. This exploratory pilot study included 358 adult subjects. Clinical, anthropometric, and laboratory data were obtained through interview and access to medical records. The variants IRS1 rs2943634 A˃C, IRS2 rs1865434 C>T, MC3R rs3746619 C>A, and MC4R rs17782313 T>C were analyzed by real-time polymerase chain reaction. Food intake composition was assessed in a group of subjects with obesity (n = 84) before and after a short-term nutritional counseling program (9 weeks). MC4R rs17782313 was associated with increased risk of obesity (P = .034). Multivariate linear regression analysis adjusted by covariates indicated associations of IRS2 rs1865434 with reduced low-density lipoprotein cholesterol and resistin, MC3R rs3746619 with high glycated hemoglobin, and IRS1 rs2943634 and MC4R rs17782313 with increased high-sensitivity C-reactive protein (P < .05). Energy intake and carbohydrate and total fat intakes were reduced after the diet-oriented program (P < .05). Multivariate linear regression analysis showed associations of IRS2 rs1865434 with high basal fiber intake, IRS1 rs2943634 with low postprogram carbohydrate intake, and MC4R rs17782313 with low postprogram total fat and saturated fatty acid intakes (P < .05). Although significant associations did not survive correction for multiple comparisons using the Benjamini-Hochberg method in this exploratory study, polymorphisms in IRS1, IRS2, MC3R, and MC4R influence metabolic and inflammatory status in Brazilian adults. IRS1 and MC4R variants may influence carbohydrate, total fat, and saturated fatty acid intakes in response to a diet-oriented program in subjects with obesity.
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MESH Headings
- Adult
- Humans
- Pilot Projects
- Diabetes Mellitus, Type 2/genetics
- Polymorphism, Single Nucleotide
- Brazil
- Obesity/genetics
- Obesity/metabolism
- Eating
- Carbohydrates
- Fatty Acids
- Receptor, Melanocortin, Type 4/genetics
- Receptor, Melanocortin, Type 4/metabolism
- Insulin Receptor Substrate Proteins/genetics
- Insulin Receptor Substrate Proteins/metabolism
- Receptor, Melanocortin, Type 3/genetics
- Receptor, Melanocortin, Type 3/metabolism
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Affiliation(s)
- Cristina Moreno Fajardo
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo 05508-000, Brazil
| | - Alvaro Cerda
- Department of Basic Sciences, Center of Excellence in Translational Medicine, CEMT-BIOREN, Universidad de La Frontera, Temuco 4810296, Chile
| | - Raul Hernandes Bortolin
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo 05508-000, Brazil; Department of Cardiology, Boston Children's Hospital, Boston, MA 02115, United States
| | - Raquel de Oliveira
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo 05508-000, Brazil
| | - Tamires Invencioni Moraes Stefani
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo 05508-000, Brazil
| | - Marina Aparecida Dos Santos
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo 05508-000, Brazil
| | - Aécio Assunção Braga
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo 05508-000, Brazil
| | - Egídio Lima Dorea
- Medical Clinic Division, University Hospital, University of Sao Paulo, Sao Paulo 05508-000, Brazil
| | | | - Gisele Medeiros Bastos
- Laboratory of Molecular Research in Cardiology, Institute of Cardiology Dante Pazzanese, Sao Paulo 04012-909, Brazil; Hospital Beneficiencia Portuguesa de Sao Paulo, Sao Paulo 01323-001, Brazil
| | - Marcelo Ferraz Sampaio
- Hospital Beneficiencia Portuguesa de Sao Paulo, Sao Paulo 01323-001, Brazil; Medical Clinic Division, Institute of Cardiology Dante Pazzanese, Sao Paulo 04012-909, Brazil
| | | | - Rozangela Verlengia
- Research Laboratory in Human Performance, Methodist University of Piracicaba, Piracicaba 13400-901, Brazil
| | | | - Mario Hiroyuki Hirata
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo 05508-000, Brazil
| | - Rosario Dominguez Crespo Hirata
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo 05508-000, Brazil.
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21
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Vasile CM, Padovani P, Rujinski SD, Nicolosu D, Toma C, Turcu AA, Cioboata R. The Increase in Childhood Obesity and Its Association with Hypertension during Pandemics. J Clin Med 2023; 12:5909. [PMID: 37762850 PMCID: PMC10531996 DOI: 10.3390/jcm12185909] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 09/07/2023] [Accepted: 09/09/2023] [Indexed: 09/29/2023] Open
Abstract
There has been a major ongoing health impact of the COVID-19 pandemic on children's lives, including lifestyle and overall health. Enforcement of prevention measures, such as school closures and social distancing, has significantly affected children's daily routines and activities. This perspective manuscript aims to explore the rise in childhood obesity and its association with hypertension during pandemics. The COVID-19 pandemic has led to significant disruptions in children's routines, including reduced physical activity, increased sedentary behavior, and changes in dietary patterns. These factors, coupled with the psychological impact of the pandemic, have contributed to an alarming increase in childhood obesity rates. This paper has highlighted the concerning increase in childhood obesity and hypertension during pandemics. The disruptions caused by the COVID-19 pandemic, including reduced physical activity, increased sedentary behaviors, and changes in dietary patterns, have contributed to the rise in these health conditions. It is crucial to recognize the long-term consequences of childhood obesity and hypertension and the urgent need for a comprehensive approach to address them.
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Affiliation(s)
- Corina Maria Vasile
- Department of Pediatric and Adult Congenital Cardiology, University Hospital of Bordeaux, F-33600 Bordeaux, France;
| | - Paul Padovani
- Nantes Université, CHU Nantes, Department of Pediatric Cardiology and Pediatric Cardiac Surgery, FHU PreciCare, F-44000 Nantes, France;
- Nantes Université, CHU Nantes, INSERM, CIC FEA 1413, F-44000 Nantes, France
| | | | - Dragos Nicolosu
- Pneumology Department, Victor Babes University Hospital Craiova, 200515 Craiova, Romania; (D.N.); (R.C.)
| | - Claudia Toma
- Pneumology Department, University of Medicine Carol Davila, 020021 Bucharest, Romania;
| | - Adina Andreea Turcu
- Faculty of Dentistry, University of Pharmacy and Medicine Craiova, 200349 Craiova, Romania
| | - Ramona Cioboata
- Pneumology Department, Victor Babes University Hospital Craiova, 200515 Craiova, Romania; (D.N.); (R.C.)
- Pneumology Department, University of Medicine and Pharmacy, 200349 Craiova, Romania
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22
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Li W, Xu H, Li Y, Shi X, Ma Z, Yang F, Chen W. Identifying Ferroptosis-Related Genes Associated with Weight Loss Outcomes and Regulation of Adipocyte Microenvironment. Mol Nutr Food Res 2023; 67:e2300168. [PMID: 37599272 DOI: 10.1002/mnfr.202300168] [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: 03/22/2023] [Revised: 07/16/2023] [Indexed: 08/22/2023]
Abstract
SCOPE The study is about the influence of ferroptosis-related genes combined with the immune microenvironment exerted on weight control outcomes and systematic analysis. METHODS AND RESULTS Subcutaneous adipose tissue (sWAT) samples from 11 subjects with good outcome and 10 subjects with poor outcome in weight management are obtained from the Gene Expression Omnibus database. The results are validated in vivo in animal models with different weight loss outcomes. The CIBERSORT algorithm is used to evaluate the differences in immune cell infiltration in each sample. Patients with poor outcome have higher levels of ferroptosis in the adipose tissue. Remarkable differences in cytokine production, nuclear factor kappa-B(NF-κB) transcription factor activity, leukocyte migration involved in the inflammatory response, and other biological processes are also observed compared to that in the well-controlled group. Aldo-keto reductase family 1-member C1(AKR1C1), nuclear receptor coactivator 4(NCOA4), and glutamate-cysteine ligase catalytic subunit(GCLC) are identified as core predictive markers and their expression patterns are confirmed in animal models. CONCLUSIONS Ferroptosis and its mediated inflammation play an important role in long-term weight control, and analyses of the role of ferroptosis-related genes(FRGs) in weight control may provide new potential therapeutic targets for long-term weight control. Anti-inflammatory diets that mitigate inflammatory responses and affect ferroptosis may be considered in the future to improve weight control.
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Affiliation(s)
- Wanyang Li
- Department of Clinical Nutrition, Chinese Academy of Medical Sciences-Peking Union Medical College, Peking Union Medical College Hospital (Dongdan campus), No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, 100730, China
| | - Hanyuan Xu
- Department of Clinical Nutrition, Chinese Academy of Medical Sciences-Peking Union Medical College, Peking Union Medical College Hospital (Dongdan campus), No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, 100730, China
| | - Yao Li
- College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Shandong, 250355, China
| | - Xiaodong Shi
- Department of Clinical Nutrition, Chinese Academy of Medical Sciences-Peking Union Medical College, Peking Union Medical College Hospital (Dongdan campus), No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, 100730, China
| | - Zhaotian Ma
- College of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China
- Institute of Ethnic Medicine, Beijing University of Traditional Chinese Medicine, Beijing, 100029, China
| | - Fan Yang
- College of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China
- National Institute of TCM Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China
| | - Wei Chen
- Department of Clinical Nutrition, Chinese Academy of Medical Sciences-Peking Union Medical College, Peking Union Medical College Hospital (Dongdan campus), No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, 100730, China
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23
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Qi L, Heianza Y, Li X, Sacks FM, Bray GA. Toward Precision Weight-Loss Dietary Interventions: Findings from the POUNDS Lost Trial. Nutrients 2023; 15:3665. [PMID: 37630855 PMCID: PMC10458797 DOI: 10.3390/nu15163665] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 08/13/2023] [Accepted: 08/18/2023] [Indexed: 08/27/2023] Open
Abstract
The POUNDS Lost trial is a 2-year clinical trial testing the effects of dietary interventions on weight loss. This study included 811 adults with overweight or obesity who were randomized to one of four diets that contained either 15% or 25% protein and 20% or 40% fat in a 2 × 2 factorial design. By 2 years, participants on average lost from 2.9 to 3.6 kg in body weight in the four intervention arms, while no significant difference was observed across the intervention arms. In POUNDS Lost, we performed a series of ancillary studies to detect intrinsic factors particular to genomic, epigenomic, and metabolomic markers that may modulate changes in weight and other cardiometabolic traits in response to the weight-loss dietary interventions. Genomic variants identified from genome-wide association studies (GWASs) on obesity, type 2 diabetes, glucose and lipid metabolisms, gut microbiome, and dietary intakes have been found to interact with dietary macronutrients (fat, protein, and carbohydrates) in relation to weight loss and changes of body composition and cardiometabolic traits. In addition, we recently investigated epigenomic modifications, particularly blood DNA methylation and circulating microRNAs (miRNAs). We reported DNA methylation levels at NFATC2IP, CPT1A, TXNIP, and LINC00319 were related to weight loss or changes of glucose, lipids, and blood pressure; we also reported thrifty miRNA expression as a significant epigenomic marker related to changes in insulin sensitivity and adiposity. Our studies have also highlighted the importance of temporal changes in novel metabolomic signatures for gut microbiota, bile acids, and amino acids as predictors for achievement of successful weight loss outcomes. Moreover, our studies indicate that biochemical, behavioral, and psychosocial factors such as physical activity, sleep disturbance, and appetite may also modulate metabolic changes during dietary interventions. This review summarized our major findings in the POUNDS Lost trial, which provided preliminary evidence supporting the development of precision diet interventions for obesity management.
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Affiliation(s)
- Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70118, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Yoriko Heianza
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70118, USA
| | - Xiang Li
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70118, USA
| | - Frank M. Sacks
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - George A. Bray
- Department of Clinical Obesity, Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA 70808, USA
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24
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Gholamalizadeh M, Jonoush M, Mobarakeh KA, Amjadi A, Alami F, Valisoltani N, Askarpour SA, Azizi-Tabesh G, Mohammadian MK, Akbari ME, Rajabibazl M, Alemrajabi M, Poodineh J, Sadeghi H, Hosseinzadeh P, Dahka SM, Badeli M, Jarrahi SAM, Doaei S. The effects of FTO gene rs9939609 polymorphism on the association between colorectal cancer and dietary intake. Front Nutr 2023; 10:1215559. [PMID: 37545585 PMCID: PMC10399810 DOI: 10.3389/fnut.2023.1215559] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 06/21/2023] [Indexed: 08/08/2023] Open
Abstract
Background FTO gene is associated with obesity, dietary intake, and the risk of colorectal cancer (CRC). In this study, patients with colorectal cancer were assessed for the interactions between FTO gene polymorphisms and dietary intake. Methods This case-control study was carried out on 450 participants aged 35-70 years including 150 patients with colorectal cancer and 300 healthy controls. Blood samples were collected in order to extract DNA and genotyping of FTO gene for rs9939609 polymorphism. A validated 168-item food frequency questionnaire (FFQ) and the Nutritionist-IV software were used to assess dietary intake. Results In the participants with the TT genotype of FTO rs9939609 polymorphism, CRC risk was significantly associated with higher intake of dietary fat (OR:1.87 CI95%:1.76-1.99, p = 0.04), vitamin B3 (OR:1.20 CI95%:1.08-1.65, p = 0.04), and vitamin C (OR:1.06 CI95%:1.03-1.15, p = 0.04) and lower intake of β-carotene (OR:0.98 CI95%:0.97-0.99, p = 0.03), vitamin E (OR:0.77 CI95%:0.62-0.95, p = 0.02), vitamin B1 (OR:0.15 CI95%:0.04-0.50, p < 0.01), and biotin (OR:0.72 CI95%:0.0.57-0.92, p = 0.01). No significant association was found between CRC and dietary intake in carriers of AA/AT genotypes after adjustments for the confounders. Conclusion CRC risk may be decreased by β-carotene, vitamins E, B1, and biotin only in those without the risk allele of the FTO gene. The association of CRC and diet may be influenced by FTO genotype. Further studies are warranted.
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Affiliation(s)
- Maryam Gholamalizadeh
- Cancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mona Jonoush
- Department of Clinical Nutrition and Dietetics, Faculty of Nutrition and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Khadijeh Abbasi Mobarakeh
- Food Security Research Center and Department of Community Nutrition, School of Nutrition and Food Science, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Arezoo Amjadi
- Department of Nutrition, School of Nutritional Sciences and Food Technology, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Farkhondeh Alami
- Student Research Committee, Department of Nutrition, Faculty of Medicine, Urmia University of Medical Sciences, Urmia, Iran
| | - Neda Valisoltani
- Department of Clinical Nutrition. School of Nutrition Science and Dietetics. Tehran University of Medical Sciences, Tehran, Iran
| | - Seyed Ali Askarpour
- Division of Food Safety and Hygiene, Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Ghasem Azizi-Tabesh
- Genomic Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | | | | | - Masoumeh Rajabibazl
- Department of Tissue Engineering and Applied Cell Sciences, School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mahdi Alemrajabi
- Clinical Research Development Center (CRDC), Firoozgar Hospital, School of Medicine, Iran University of Medical Sciences, Zabol, Iran
| | - Jafar Poodineh
- Department of Clinical Biochemistry, School of Medicine, Zabol University of Medical Sciences, Tehran, Iran
| | - Hossein Sadeghi
- Genomic Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Payam Hosseinzadeh
- Gastrointestinal and Liver Diseases Research Center (GLDRC), Iran University of Medical Sciences, Tehran, Iran
| | | | - Mostafa Badeli
- Department of Nutrition, Urmia University of Medical Science, Urmia, Iran
| | | | - Saeid Doaei
- Department of Community Nutrition, National Nutrition and Food Technology Research Institute, Faculty of Nutrition Sciences and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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25
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Kazura W, Michalczyk K, Stygar D. The Relationship between the Source of Dietary Animal Fats and Proteins and the Gut Microbiota Condition and Obesity in Humans. Nutrients 2023; 15:3082. [PMID: 37513500 PMCID: PMC10385089 DOI: 10.3390/nu15143082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 07/04/2023] [Accepted: 07/06/2023] [Indexed: 07/30/2023] Open
Abstract
The relationship between gut microbiota and obesity is well documented in humans and animal models. Dietary factors can change the intestinal microbiota composition and influence obesity development. However, knowledge of how diet, metabolism, and intestinal microbiota interact and modulate energy metabolism and obesity development is still limited. Epidemiological studies show a link between consuming dietary proteins and fats from specific sources and obesity. Animal studies confirm that proteins and fats of different origins differ in their ability to prevent or induce obesity. Protein sources, such as meat, dairy products, vegetables, pulses, and seafood, vary in their amino acid composition. In addition, the type and level of other factors, such as fatty acids or persistent organic pollutants, vary depending on the source of dietary protein. All these factors can modulate the intestinal microbiota composition and, thus, may influence obesity development. This review summarizes selected evidence of how proteins and fats of different origins affect energy efficiency, obesity development, and intestinal microbiota, linking protein and fat-dependent changes in the intestinal microbiota with obesity.
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Affiliation(s)
- Wojciech Kazura
- Department of Physiology, Faculty of Medical Sciences, Medical University of Silesia, Jordana Street 19, 41-808 Zabrze, Poland
| | - Katarzyna Michalczyk
- Department of Physiology, Faculty of Medical Sciences, Medical University of Silesia, Jordana Street 19, 41-808 Zabrze, Poland
| | - Dominika Stygar
- Department of Physiology, Faculty of Medical Sciences, Medical University of Silesia, Jordana Street 19, 41-808 Zabrze, Poland
- SLU University Animal Hospital, Swedish University of Agricultural Sciences, SE-750 07 Uppsala, Sweden
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26
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Novelli G, Cassadonte C, Sbraccia P, Biancolella M. Genetics: A Starting Point for the Prevention and the Treatment of Obesity. Nutrients 2023; 15:2782. [PMID: 37375686 DOI: 10.3390/nu15122782] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 06/15/2023] [Accepted: 06/16/2023] [Indexed: 06/29/2023] Open
Abstract
Obesity is a common, serious, and costly disease. More than 1 billion people worldwide are obese-650 million adults, 340 million adolescents, and 39 million children. The WHO estimates that, by 2025, approximately 167 million people-adults and children-will become less healthy because they are overweight or obese. Obesity-related conditions include heart disease, stroke, type 2 diabetes, and certain types of cancer. These are among the leading causes of preventable, premature death. The estimated annual medical cost of obesity in the United States was nearly $173 billion in 2019 dollars. Obesity is considered the result of a complex interaction between genes and the environment. Both genes and the environment change in different populations. In fact, the prevalence changes as the result of eating habits, lifestyle, and expression of genes coding for factors involved in the regulation of body weight, food intake, and satiety. Expression of these genes involves different epigenetic processes, such as DNA methylation, histone modification, or non-coding micro-RNA synthesis, as well as variations in the gene sequence, which results in functional alterations. Evolutionary and non-evolutionary (i.e., genetic drift, migration, and founder's effect) factors have shaped the genetic predisposition or protection from obesity in modern human populations. Understanding and knowing the pathogenesis of obesity will lead to prevention and treatment strategies not only for obesity, but also for other related diseases.
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Affiliation(s)
- Giuseppe Novelli
- Department of Biomedicine and Prevention, Medical School, University of Rome Tor Vergata, Via Montpellier 1, 00133 Rome, Italy
- Italian Barometer Diabetes Observatory Foundation, IBDO, 00186 Rome, Italy
- Department of Pharmacology, School of Medicine, University of Nevada, Reno, NV 89557, USA
| | - Carmen Cassadonte
- Department of Biomedicine and Prevention, Medical School, University of Rome Tor Vergata, Via Montpellier 1, 00133 Rome, Italy
| | - Paolo Sbraccia
- Italian Barometer Diabetes Observatory Foundation, IBDO, 00186 Rome, Italy
- Department of Systems Medicine, Medical School, University of Rome Tor Vergata, Via Montpellier 1, 00133 Rome, Italy
| | - Michela Biancolella
- Department of Biology, Tor Vergata University of Rome, Via della Ricerca Scientifica 1, 00133 Rome, Italy
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27
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Puljiz Z, Kumric M, Vrdoljak J, Martinovic D, Ticinovic Kurir T, Krnic MO, Urlic H, Puljiz Z, Zucko J, Dumanic P, Mikolasevic I, Bozic J. Obesity, Gut Microbiota, and Metabolome: From Pathophysiology to Nutritional Interventions. Nutrients 2023; 15:nu15102236. [PMID: 37242119 DOI: 10.3390/nu15102236] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 04/29/2023] [Accepted: 05/07/2023] [Indexed: 05/28/2023] Open
Abstract
Obesity is a disorder identified by an inappropriate increase in weight in relation to height and is considered by many international health institutions to be a major pandemic of the 21st century. The gut microbial ecosystem impacts obesity in multiple ways that yield downstream metabolic consequences, such as affecting systemic inflammation, immune response, and energy harvest, but also the gut-host interface. Metabolomics, a systematized study of low-molecular-weight molecules that take part in metabolic pathways, represents a serviceable method for elucidation of the crosstalk between hosts' metabolism and gut microbiota. In the present review, we confer about clinical and preclinical studies exploring the association of obesity and related metabolic disorders with various gut microbiome profiles, and the effects of several dietary interventions on gut microbiome composition and the metabolome. It is well established that various nutritional interventions may serve as an efficient therapeutic approach to support weight loss in obese individuals, yet no agreement exists in regard to the most effective dietary protocol, both in the short and long term. However, metabolite profiling and the gut microbiota composition might represent an opportunity to methodically establish predictors for obesity control that are relatively simple to measure in comparison to traditional approaches, and it may also present a tool to determine the optimal nutritional intervention to ameliorate obesity in an individual. Nevertheless, a lack of adequately powered randomized trials impedes the application of observations to clinical practice.
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Affiliation(s)
- Zivana Puljiz
- Laboratory for Bioinformatics, Faculty of Food Technology and Biotechnology, University of Zagreb, 10000 Zagreb, Croatia
| | - Marko Kumric
- Department of Pathophysiology, University of Split School of Medicine, 21000 Split, Croatia
| | - Josip Vrdoljak
- Department of Pathophysiology, University of Split School of Medicine, 21000 Split, Croatia
| | - Dinko Martinovic
- Department of Pathophysiology, University of Split School of Medicine, 21000 Split, Croatia
| | - Tina Ticinovic Kurir
- Department of Pathophysiology, University of Split School of Medicine, 21000 Split, Croatia
- Department of Endocrinology, Diabetes and Metabolic Diseases, University Hospital of Split, 21000 Split, Croatia
| | - Marin Ozren Krnic
- Department of Pathophysiology, University of Split School of Medicine, 21000 Split, Croatia
| | - Hrvoje Urlic
- Department of Pathophysiology, University of Split School of Medicine, 21000 Split, Croatia
| | - Zeljko Puljiz
- Department of Internal Medicine, University of Split School of Medicine, 21000 Split, Croatia
- Department of Gastroenterology and Hepatology, University Hospital of Split, 21000 Split, Croatia
| | - Jurica Zucko
- Laboratory for Bioinformatics, Faculty of Food Technology and Biotechnology, University of Zagreb, 10000 Zagreb, Croatia
| | - Petra Dumanic
- Medical Laboratory Diagnostic Division, University Hospital of Split, 21000 Split, Croatia
| | - Ivana Mikolasevic
- Department of Gastroenterology and Hepatology, University Hospital Centre Rijeka, School of Medicine, University of Rijeka, 51000 Rijeka, Croatia
| | - Josko Bozic
- Department of Pathophysiology, University of Split School of Medicine, 21000 Split, Croatia
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Grover L, Sklioutovskaya-Lopez K, Parkman JK, Wang K, Hendricks E, Adams-Duffield J, Kim JH. Diet, sex, and genetic predisposition to obesity and type 2 diabetes modulate motor and anxiety-related behaviors in mice, and alter cerebellar gene expression. Behav Brain Res 2023; 445:114376. [PMID: 36868363 PMCID: PMC10065959 DOI: 10.1016/j.bbr.2023.114376] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 12/28/2022] [Accepted: 02/28/2023] [Indexed: 03/05/2023]
Abstract
Obesity and type 2 diabetes (T2D) are serious health problems linked to neurobehavioral alterations. We compared motor function, anxiety-related behavior, and cerebellar gene expression in TALLYHO/Jng (TH), a polygenic model prone to insulin resistance, obesity, and T2D, and normal C57BL/6 J (B6) mice. Male and female mice were weaned onto chow or high fat (HF) diet at 4 weeks of age (wk), and experiments conducted at young (5 wk) and old (14 - 20 wk) ages. In the open field, distance traveled was significantly lower in TH (vs. B6). For old mice, anxiety-like behavior (time in edge zone) was significantly increased for TH (vs B6), females (vs males), and for both ages HF diet (vs chow). In Rota-Rod testing, latency to fall was significantly shorter in TH (vs B6). For young mice, longer latencies to fall were observed for females (vs males) and HF (vs chow). Grip strength in young mice was greater in TH (vs B6), and there was a diet-strain interaction, with TH on HF showing increased strength, whereas B6 on HF showed decreased strength. For older mice, there was a strain-sex interaction, with B6 males (but not TH males) showing increased strength compared to the same strain females. There were significant sex differences in cerebellar mRNA levels, with Tnfα higher, and Glut4 and Irs2 lower in females (vs males). There were significant strain effects for Gfap and Igf1 mRNA levels with lower in TH (vs B6). Altered cerebellar gene expression may contribute to strain differences in coordination and locomotion.
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Affiliation(s)
- Lawrence Grover
- Department of Biomedical Sciences, Joan C. Edwards School of Medicine, Marshall University, Huntington, WV 25755, USA
| | | | - Jacaline K Parkman
- Department of Biomedical Sciences, Joan C. Edwards School of Medicine, Marshall University, Huntington, WV 25755, USA
| | - Katherine Wang
- Department of Biomedical Sciences, Joan C. Edwards School of Medicine, Marshall University, Huntington, WV 25755, USA
| | - Emily Hendricks
- Department of Biomedical Sciences, Joan C. Edwards School of Medicine, Marshall University, Huntington, WV 25755, USA
| | - Jessica Adams-Duffield
- Department of Biomedical Sciences, Joan C. Edwards School of Medicine, Marshall University, Huntington, WV 25755, USA
| | - Jung Han Kim
- Department of Biomedical Sciences, Joan C. Edwards School of Medicine, Marshall University, Huntington, WV 25755, USA.
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Miksza U, Adamska-Patruno E, Bauer W, Fiedorczuk J, Czajkowski P, Moroz M, Drygalski K, Ustymowicz A, Tomkiewicz E, Gorska M, Kretowski A. Obesity-related parameters in carriers of some BDNF genetic variants may depend on daily dietary macronutrients intake. Sci Rep 2023; 13:6585. [PMID: 37085692 PMCID: PMC10121660 DOI: 10.1038/s41598-023-33842-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 04/19/2023] [Indexed: 04/23/2023] Open
Abstract
Some common single-nucleotide polymorphisms of the brain-derived neurotrophic factor (BDNF) gene have been associated not only with the neurodegenerative diseases but also with some eating disorders. The aim of this study was to assess the possible differences in the obesity-related and glucose metabolism parameters between some BDNF genotypes', that may depend on the daily energy and macronutrients intake. In 484 adult participants we performed the anthropometric measurements, body composition analysis, and body fat distribution. The daily dietary intake was assessed using the 3-day food intake diaries. Blood glucose and insulin concentrations were measured at fasting and during oral glucose tolerance tests. Moreover, the visceral adipose tissue/subcutaneous adipose tissue (VAT/SAT) ratio and homeostatic model assessment of insulin resistance were calculated. We noted that participants carrying the GG genotype had lower skeletal muscle mass and fat free mass (FFM) when carbohydrate intake was > 48%, whereas they presented higher fat-free mass (FFM), and surprisingly higher total cholesterol and LDL-C concentrations when daily fiber intake was > 18 g. Moreover, in these subjects we noted higher waist circumference, BMI, and fasting glucose and insulin concentrations, when > 18% of total daily energy intake was delivered from proteins, and higher VAT content and HDL-C concentrations when > 30% of energy intake was derived from dietary fat. Our results suggest that glucose homeostasis and obesity-related parameters in carriers of some common variants of BDNF gene, especially in the GG (rs10835211) genotype carriers, may differ dependently on daily energy, dietary macronutrients and fiber intake.
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Affiliation(s)
- Urszula Miksza
- Department of Nutriomics, Clinical Research Centre, Medical University of Bialystok, Marii Sklodowskiej-Curie 24A, 15-276, Bialystok, Poland.
- Clinical Research Support Centre, Medical University of Bialystok, Marii Sklodowskiej-Curie 24A, 15-276, Bialystok, Poland.
| | - Edyta Adamska-Patruno
- Department of Nutriomics, Clinical Research Centre, Medical University of Bialystok, Marii Sklodowskiej-Curie 24A, 15-276, Bialystok, Poland.
- Clinical Research Support Centre, Medical University of Bialystok, Marii Sklodowskiej-Curie 24A, 15-276, Bialystok, Poland.
| | - Witold Bauer
- Department of Nutriomics, Clinical Research Centre, Medical University of Bialystok, Marii Sklodowskiej-Curie 24A, 15-276, Bialystok, Poland
| | - Joanna Fiedorczuk
- Department of Nutriomics, Clinical Research Centre, Medical University of Bialystok, Marii Sklodowskiej-Curie 24A, 15-276, Bialystok, Poland
| | - Przemyslaw Czajkowski
- Department of Nutriomics, Clinical Research Centre, Medical University of Bialystok, Marii Sklodowskiej-Curie 24A, 15-276, Bialystok, Poland
| | - Monika Moroz
- Department of Nutriomics, Clinical Research Centre, Medical University of Bialystok, Marii Sklodowskiej-Curie 24A, 15-276, Bialystok, Poland
| | - Krzysztof Drygalski
- Department of Nutriomics, Clinical Research Centre, Medical University of Bialystok, Marii Sklodowskiej-Curie 24A, 15-276, Bialystok, Poland
| | - Andrzej Ustymowicz
- Department of Radiology, Medical University of Bialystok, Marii Sklodowskiej-Curie 24A, 15-276, Bialystok, Poland
| | - Elwira Tomkiewicz
- Department of Nutriomics, Clinical Research Centre, Medical University of Bialystok, Marii Sklodowskiej-Curie 24A, 15-276, Bialystok, Poland
| | - Maria Gorska
- Department of Endocrinology, Diabetology and Internal Medicine, Medical University of Bialystok, Marii Sklodowskiej-Curie 24A, 15-276, Bialystok, Poland
| | - Adam Kretowski
- Department of Nutriomics, Clinical Research Centre, Medical University of Bialystok, Marii Sklodowskiej-Curie 24A, 15-276, Bialystok, Poland
- Clinical Research Support Centre, Medical University of Bialystok, Marii Sklodowskiej-Curie 24A, 15-276, Bialystok, Poland
- Department of Endocrinology, Diabetology and Internal Medicine, Medical University of Bialystok, Marii Sklodowskiej-Curie 24A, 15-276, Bialystok, Poland
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Lu Y, Qin L, Wei Y, Mo X, Tang X, Liu Q, Liu S, Zhang J, Xu M, Wei C, Huang S, Lin Y, Luo T, Mai T, Gou R, Zhang Z, Cai J, Qin J. Association between barium exposed, CYP19A1 and central obesity: A cross-sectional study in rural China. J Trace Elem Med Biol 2023; 78:127170. [PMID: 37075568 DOI: 10.1016/j.jtemb.2023.127170] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 03/04/2023] [Accepted: 04/03/2023] [Indexed: 04/21/2023]
Abstract
BACKGROUND obesity is a major risk factor for many metabolic diseases such as diabetes and cardiometabolic diseases. This study aimed to evaluate the association of plasma and urinary barium concentrations, CYP19A1 gene polymorphisms, and their interaction with central obesity in a rural Chinese population. METHODS restricted cubic spline model was used to explore the dose-response relationship between barium and the risk of developing central obesity and waist circumference; logistic regression model was used to assess the association between barium, CYP19A1 gene polymorphisms and their interaction with central obesity. RESULTS the results of the restricted cubic spline model showed that plasma barium concentration was linearly associated with the risk of developing central obesity and non-linearly associated with waist circumference. Logistic regression analysis showed that participants with Q4 plasma barium concentration exhibited a higher risk of central obesity compared to participants with Q1 barium concentration; participants carrying the rs10046-AA gene exhibited a lower risk of central obesity than those carrying the rs10046-G(GG+GA) gene; participants carrying the rs10046-GA genotype showed 1.754 times higher risk of central obesity than those carrying rs10046-GG+AA genotype. There was a significant interaction between plasma barium and CYP19A1 gene polymorphism on central obesity. CONCLUSION the development of central obesity was associated with plasma barium and CYP19A1.
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Affiliation(s)
- Yufu Lu
- School of Public Health, Guangxi Medical University, Shuangyong Road No.22, Nanning 530021, Guangxi, China
| | - Lidong Qin
- School of Public Health, Guangxi Medical University, Shuangyong Road No.22, Nanning 530021, Guangxi, China
| | - Yanfei Wei
- School of Public Health, Guangxi Medical University, Shuangyong Road No.22, Nanning 530021, Guangxi, China
| | - Xiaoting Mo
- School of Public Health, Guangxi Medical University, Shuangyong Road No.22, Nanning 530021, Guangxi, China
| | - Xu Tang
- School of Public Health, Guangxi Medical University, Shuangyong Road No.22, Nanning 530021, Guangxi, China
| | - Qiumei Liu
- School of Public Health, Guangxi Medical University, Shuangyong Road No.22, Nanning 530021, Guangxi, China
| | - Shuzhen Liu
- School of Public Health, Guangxi Medical University, Shuangyong Road No.22, Nanning 530021, Guangxi, China
| | - Junling Zhang
- School of Public Health, Guangxi Medical University, Shuangyong Road No.22, Nanning 530021, Guangxi, China
| | - Min Xu
- School of Public Health, Guangxi Medical University, Shuangyong Road No.22, Nanning 530021, Guangxi, China
| | - Chunmei Wei
- School of Public Health, Guangxi Medical University, Shuangyong Road No.22, Nanning 530021, Guangxi, China
| | - Shenxiang Huang
- School of Public Health, Guangxi Medical University, Shuangyong Road No.22, Nanning 530021, Guangxi, China
| | - Yinxia Lin
- School of Public Health, Guangxi Medical University, Shuangyong Road No.22, Nanning 530021, Guangxi, China
| | - Tingyu Luo
- School of Public Health, Guilin Medical University, 20 Lequn Road, Guilin, Guangxi, China
| | - Tingyu Mai
- School of Public Health, Guilin Medical University, 20 Lequn Road, Guilin, Guangxi, China
| | - Ruoyu Gou
- School of Public Health, Guilin Medical University, 20 Lequn Road, Guilin, Guangxi, China
| | - Zhiyong Zhang
- School of Public Health, Guilin Medical University, 20 Lequn Road, Guilin, Guangxi, China; Guangxi key laboratory of Environmental Exposomics and Entire Lifecycle Health, China
| | - Jiansheng Cai
- School of Public Health, Guilin Medical University, 20 Lequn Road, Guilin, Guangxi, China; Guangxi Key Laboratory of Tumor Immunology and Microenvironmental Regulation, Guilin Medical University, Guilin, Guangxi, China.
| | - Jian Qin
- Key Laboratory of Longevity and Aging-related Diseases of Chinese Ministry of Education, Guangxi Medical University, Nanning 530021, China; Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, School of Public Health, Guangxi Medical University, Nanning 530021, China; Guangxi Key Laboratory of Environment and Health Research, Guangxi Medical University, Nanning 530021, China.
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31
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Lin Y, Chen Z, Qian Q, Wang Y, Xiu X, Ou P, Fang J, Li G. Effects of paternal obesity on maternal-neonatal outcomes and long-term prognosis in adolescents. Front Endocrinol (Lausanne) 2023; 14:1114250. [PMID: 37082119 PMCID: PMC10111374 DOI: 10.3389/fendo.2023.1114250] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 03/16/2023] [Indexed: 04/07/2023] Open
Abstract
ObjectiveThis study evaluated whether paternal body mass index (BMI) before pregnancy was a risk factor for maternal-neonatal outcomes and long-term prognosis in offspring.MethodsThis study included 29,518 participants from eight cities in Fujian, China using a stratified cluster random sampling method from May to September 2019. They were divided into four groups based on paternal BMI. Univariate and multivariate logistic regression were used to explore the relationship between paternal BMI groups, maternal-neonatal outcomes, and long-term prognosis in offspring. Further subgroup analysis was conducted to examine the stability of the risk. ResultsThe incidences of hypertensive disorder complicating pregnancy (HDCP), cesarean delivery, gestational weight gain (GWG) over guideline, and macrosomia were significantly higher in the paternal overweight and obesity group. Importantly, this study demonstrated that the incidence of asthma, hand-foot-and-mouth disease (HFMD), anemia, dental caries, and obesity of adolescents in paternal obesity increased. Furthermore, logistic regression and subgroup analysis confirm paternal obesity is a risk factor for HDCP, cesarean delivery, and macrosomia. It caused poor long-term prognosis in adolescents, including asthma, dental caries, and HFMD.ConclusionsPaternal obesity is a risk factor for adverse maternal-neonatal outcomes and poor long-term prognosis in adolescents. In addition to focusing on maternal weight, expectant fathers should pay more attention to weight management since BMI is a modifiable risk factor. Preventing paternal obesity can lead to better maternal and child outcomes. It would provide new opportunities for chronic diseases.
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Affiliation(s)
- Yingying Lin
- Department of Healthcare, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China
| | - Zhiwei Chen
- Department of Obstetrics and Gynecology, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China
| | - Qinfang Qian
- Department of Child Healthcare Centre, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China
| | - Yanxia Wang
- Department of Child Healthcare Centre, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China
| | - Xiaoyan Xiu
- Department of Obstetrics and Gynecology, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China
| | - Ping Ou
- Department of Healthcare, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China
- *Correspondence: Guobo Li, ; Jiaoning Fang, ; Ping Ou,
| | - Jiaoning Fang
- Department of Obstetrics and Gynecology, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China
- *Correspondence: Guobo Li, ; Jiaoning Fang, ; Ping Ou,
| | - Guobo Li
- Department of Child Healthcare Centre, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China
- *Correspondence: Guobo Li, ; Jiaoning Fang, ; Ping Ou,
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Drouard G, Silventoinen K, Latvala A, Kaprio J. Genetic and Environmental Factors Underlying Parallel Changes in Body Mass Index and Alcohol Consumption: A 36-Year Longitudinal Study of Adult Twins. Obes Facts 2023; 16:224-236. [PMID: 36882010 PMCID: PMC10826601 DOI: 10.1159/000529835] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 02/17/2023] [Indexed: 03/09/2023] Open
Abstract
INTRODUCTION While the genetic and environmental underpinnings of body weight and alcohol use are fairly well-known, determinants of simultaneous changes in these traits are still poorly known. We sought to quantify the environmental and genetic components underlying parallel changes in weight and alcohol consumption and to investigate potential covariation between them. METHODS The analysis comprised 4,461 adult participants (58% women) from the Finnish Twin Cohort with four measures of alcohol consumption and body mass index (BMI) over a 36-year follow-up. Trajectories of each trait were described by growth factors, defined as intercepts (i.e., baseline) and slopes (i.e., change over follow-up), using latent growth curve modeling. Growth values were used for male (190 monozygotic pairs, 293 dizygotic pairs) and female (316 monozygotic pairs, 487 dizygotic pairs) same-sex complete twin pairs in multivariate twin modeling. The variances and covariances of growth factors were then decomposed into genetic and environmental components. RESULTS The baseline heritabilities were similar in men (BMI: h2 = 79% [95% confidence interval: 74, 83]; alcohol consumption: h2 = 49% [32, 67]) and women (h2 = 77% [73, 81]; h2 = 45% [29, 61]). Heritabilities of BMI change were similar in men (h2 = 52% [42, 61]) and women (h2 = 57% [50, 63]), but the heritability of change in alcohol consumption was significantly higher (p = 0.03) in men (h2 = 45% [34, 54]) than in women (h2 = 31% [22, 38]). Significant additive genetic correlations between BMI at baseline and change in alcohol consumption were observed in both men (rA = -0.17 [-0.29, -0.04]) and women (rA = -0.18 [-0.31, -0.06]). Non-shared environmental factors affecting changes in alcohol consumption and BMI were correlated in men (rE = 0.18 [0.06, 0.30]). Among women, non-shared environmental factors affecting baseline alcohol consumption and the change in BMI were inversely correlated (rE = -0.11 [-0.20, -0.01]). CONCLUSIONS Based on genetic correlations, genetic variation underlying BMI may affect changes in alcohol consumption. Independent of genetic effects, change in BMI correlates with change in alcohol consumption in men, suggesting direct effects between them.
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Affiliation(s)
- Gabin Drouard
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Karri Silventoinen
- Population Research Unit, Faculty of Social Sciences, University of Helsinki, Helsinki, Finland
- Department of Public Health, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Antti Latvala
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
- Institute of Criminology and Legal Policy, University of Helsinki, Helsinki, Finland
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
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Functionally Significant Variants in Genes Associated with Abdominal Obesity: A Review. J Pers Med 2023; 13:jpm13030460. [PMID: 36983642 PMCID: PMC10056771 DOI: 10.3390/jpm13030460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 02/23/2023] [Accepted: 02/26/2023] [Indexed: 03/05/2023] Open
Abstract
The high prevalence of obesity and of its associated diseases is a major problem worldwide. Genetic predisposition and the influence of environmental factors contribute to the development of obesity. Changes in the structure and functional activity of genes encoding adipocytokines are involved in the predisposition to weight gain and obesity. In this review, variants in genes associated with adipocyte function are examined, as are variants in genes associated with metabolic aberrations and the accompanying disorders in visceral obesity.
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Nakamura S, Fang X, Saito Y, Narimatsu H, Ota A, Ikezaki H, Shimanoe C, Tanaka K, Kubo Y, Tsukamoto M, Tamura T, Hishida A, Oze I, Koyanagi YN, Nakamura Y, Kusakabe M, Takezaki T, Nishimoto D, Suzuki S, Otani T, Kuriyama N, Matsui D, Kuriki K, Kadota A, Nakamura Y, Arisawa K, Katsuura-Kamano S, Nakatochi M, Momozawa Y, Kubo M, Takeuchi K, Wakai K. Effects of gene-lifestyle interactions on obesity based on a multi-locus risk score: A cross-sectional analysis. PLoS One 2023; 18:e0279169. [PMID: 36753494 PMCID: PMC9907830 DOI: 10.1371/journal.pone.0279169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 12/01/2022] [Indexed: 02/09/2023] Open
Abstract
BACKGROUND The relationship between lifestyle and obesity is a major focus of research. Personalized nutrition, which utilizes evidence from nutrigenomics, such as gene-environment interactions, has been attracting attention in recent years. However, evidence for gene-environment interactions that can inform treatment strategies is lacking, despite some reported interactions involving dietary intake or physical activity. Utilizing gene-lifestyle interactions in practice could aid in optimizing interventions according to genetic risk. METHODS This study aimed to elucidate the effects of gene-lifestyle interactions on body mass index (BMI). Cross-sectional data from the Japan Multi-Institutional Collaborative Cohort Study were used. Interactions between a multi-locus genetic risk score (GRS), calculated from 76 ancestry-specific single nucleotide polymorphisms, and nutritional intake or physical activity were assessed using a linear mixed-effect model. RESULTS The mean (standard deviation) BMI and GRS for all participants (n = 12,918) were 22.9 (3.0) kg/m2 and -0.07 (0.16), respectively. The correlation between GRS and BMI was r(12,916) = 0.13 (95% confidence interval [CI] 0.11-0.15, P < 0.001). An interaction between GRS and saturated fatty acid intake was observed (β = -0.11, 95% CI -0.21 to -0.02). An interaction between GRS and n-3 polyunsaturated fatty acids was also observed in the females with normal-weight subgroup (β = -0.12, 95% CI -0.22 to -0.03). CONCLUSION Our results provide evidence of an interaction effect between GRS and nutritional intake and physical activity. This gene-lifestyle interaction provides a basis for developing prevention or treatment interventions for obesity according to individual genetic predisposition.
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Affiliation(s)
- Sho Nakamura
- Graduate School of Health Innovation, Kanagawa University of Human Services, Kawasaki, Kanagawa, Japan
- Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Yokohama, Kanagawa, Japan
- * E-mail:
| | - Xuemin Fang
- Graduate School of Health Innovation, Kanagawa University of Human Services, Kawasaki, Kanagawa, Japan
| | - Yoshinobu Saito
- Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Yokohama, Kanagawa, Japan
- Center for Innovation Policy, Kanagawa University of Human Services, Kawasaki, Kanagawa, Japan
- Faculty of Sport Management, Nippon Sport Science University, Yokohama, Kanagawa, Japan
| | - Hiroto Narimatsu
- Graduate School of Health Innovation, Kanagawa University of Human Services, Kawasaki, Kanagawa, Japan
- Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Yokohama, Kanagawa, Japan
- Center for Innovation Policy, Kanagawa University of Human Services, Kawasaki, Kanagawa, Japan
- Department of Genetic Medicine, Kanagawa Cancer Center, Yokohama, Kanagawa, Japan
| | - Azusa Ota
- Department of General Internal Medicine, Kyushu University Hospital, Fukuoka, Fukuoka, Japan
| | - Hiroaki Ikezaki
- Department of General Internal Medicine, Kyushu University Hospital, Fukuoka, Fukuoka, Japan
- Department of Comprehensive General Internal Medicine, Faculty of Medical Sciences, Fukuoka, Fukuoka, Japan
| | - Chisato Shimanoe
- Department of Pharmacy, Saga University Hospital, Nabeshima, Saga, Japan
| | - Keitaro Tanaka
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Nabeshima, Saga, Japan
| | - Yoko Kubo
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Mineko Tsukamoto
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Takashi Tamura
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Asahi Hishida
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Isao Oze
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Aichi, Japan
| | - Yuriko N. Koyanagi
- Division of Cancer Information and Control, Aichi Cancer Center Research Institute, Nagoya, Aichi, Japan
| | - Yohko Nakamura
- Cancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Chiba, Japan
| | - Miho Kusakabe
- Cancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Chiba, Japan
| | - Toshiro Takezaki
- Department of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Sakuragaoka, Kagoshima, Japan
| | - Daisaku Nishimoto
- School of Health Sciences, Faculty of Medicine, Kagoshima University, Kagoshima, Kagoshima, Japan
| | - Sadao Suzuki
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Aichi, Japan
| | - Takahiro Otani
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Aichi, Japan
| | - Nagato Kuriyama
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Nagoya, Aichi, Japan
- Shizuoka Graduate University of Public Health, Shizuoka, Shizuoka, Japan
| | - Daisuke Matsui
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Nagoya, Aichi, Japan
| | - Kiyonori Kuriki
- Laboratory of Public Health, Division of Nutritional Sciences, School of Food and Nutritional Sciences, University of Shizuoka, Shizuoka, Shizuoka, Japan
| | - Aya Kadota
- NCD Epidemiology Research Center, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Yasuyuki Nakamura
- NCD Epidemiology Research Center, Shiga University of Medical Science, Otsu, Shiga, Japan
- Takeda Hospital Medical Examination Center, Kyoto, Kyoto, Japan
| | - Kokichi Arisawa
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Tokushima, Japan
| | - Sakurako Katsuura-Kamano
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Tokushima, Japan
| | - Masahiro Nakatochi
- Public Health Informatics Unit, Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Yukihide Momozawa
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan
| | - Michiaki Kubo
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan
| | - Kenji Takeuchi
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
- Department of International and Community Oral Health, Tohoku University Graduate School of Dentistry, Sendai, Miyagi, Japan
| | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
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Maciejewska-Skrendo A, Massidda M, Tocco F, Leźnicka K. The Influence of the Differentiation of Genes Encoding Peroxisome Proliferator-Activated Receptors and Their Coactivators on Nutrient and Energy Metabolism. Nutrients 2022; 14:nu14245378. [PMID: 36558537 PMCID: PMC9782515 DOI: 10.3390/nu14245378] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 11/27/2022] [Accepted: 12/15/2022] [Indexed: 12/23/2022] Open
Abstract
Genetic components may play an important role in the regulation of nutrient and energy metabolism. In the presence of specific genetic variants, metabolic dysregulation may occur, especially in relation to the processes of digestion, assimilation, and the physiological utilization of nutrients supplied to the body, as well as the regulation of various metabolic pathways and the balance of metabolic changes, which may consequently affect the effectiveness of applied reduction diets and weight loss after training. There are many well-documented studies showing that the presence of certain polymorphic variants in some genes can be associated with specific changes in nutrient and energy metabolism, and consequently, with more or less desirable effects of applied caloric reduction and/or exercise intervention. This systematic review focused on the role of genes encoding peroxisome proliferator-activated receptors (PPARs) and their coactivators in nutrient and energy metabolism. The literature review prepared showed that there is a link between the presence of specific alleles described at different polymorphic points in PPAR genes and various human body characteristics that are crucial for the efficacy of nutritional and/or exercise interventions. Genetic analysis can be a valuable element that complements the work of a dietitian or trainer, allowing for the planning of a personalized diet or training that makes the best use of the innate metabolic characteristics of the person who is the subject of their interventions.
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Affiliation(s)
- Agnieszka Maciejewska-Skrendo
- Faculty of Physical Culture, Gdansk University of Physical Education and Sport, 80-336 Gdansk, Poland
- Institute of Physical Culture Sciences, University of Szczecin, 71-065 Szczecin, Poland
- Correspondence:
| | - Myosotis Massidda
- Department of Medical Sciences and Public Health, Faculty of Medicine and Surgery, Sport and Exercise Sciences Degree Courses, University of Cagliari, 72-09124 Cagliari, Italy
| | - Filippo Tocco
- Department of Medical Sciences and Public Health, Faculty of Medicine and Surgery, Sport and Exercise Sciences Degree Courses, University of Cagliari, 72-09124 Cagliari, Italy
| | - Katarzyna Leźnicka
- Faculty of Physical Culture, Gdansk University of Physical Education and Sport, 80-336 Gdansk, Poland
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Ramírez V, González-Palacios P, Baca MA, González-Domenech PJ, Fernández-Cabezas M, Álvarez-Cubero MJ, Rodrigo L, Rivas A. Effect of exposure to endocrine disrupting chemicals in obesity and neurodevelopment: The genetic and microbiota link. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 852:158219. [PMID: 36007653 DOI: 10.1016/j.scitotenv.2022.158219] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 08/06/2022] [Accepted: 08/18/2022] [Indexed: 06/15/2023]
Abstract
Current evidence highlights the importance of the genetic component in obesity and neurodevelopmental disorders (attention-deficit hyperactivity disorder (ADHD), autism spectrum disorder (ASD) and intellectual disability (ID)), given that these diseases have reported an elevated heritability. Additionally, environmental stressors, such as endocrine disrupting chemicals (EDCs) have been classified as obesogens, neuroendocrine disruptors, and microbiota disrupting chemicals (MDCs). For this reason, the importance of this work lies in examining two possible biological mechanistic pathways linking obesity and neurodevelopmental/behavioural disorders: EDCs - gene and EDCs - microbiota interactions. First, we summarise the shared mechanisms of action of EDCs and the common genetic profile in the bidirectional link between obesity and neurodevelopment. In relation to interaction models, evidence from the reviewed studies reveals significant interactions between pesticides/heavy metals and gene polymorphisms of detoxifying and neurotransmission systems and metal homeostasis on cognitive development, ASD and ADHD symptomatology. Nonetheless, available literature about obesity is quite limited. Importantly, EDCs have been found to induce gut microbiota changes through gut-brain-microbiota axis conferring susceptibility to obesity and neurodevelopmental disorders. In view of the lack of studies assessing the impact of EDCs - gene interactions and EDCs - mediated dysbiosis jointly in obesity and neurodevelopment, we support considering genetics, EDCs exposure, and microbiota as interactive factors rather than individual contributors to the risk for developing obesity and neurodevelopmental disabilities at the same time.
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Affiliation(s)
- Viviana Ramírez
- Department of Nutrition and Food Science, Faculty of Pharmacy, University of Granada, 18071 Granada, Spain; GENYO. Centre for Genomics and Oncological Research: Pfizer / University of Granada / Andalusian Regional Government PTS Granada - Avenida de la Ilustración, 114, 18016 Granada, Spain; "José Mataix Verdú" Institute of Nutrition and Food Technology (INYTA), Biomedical Research Centre (CIBM), University of Granada, 18100 Granada, Spain
| | - Patricia González-Palacios
- Department of Nutrition and Food Science, Faculty of Pharmacy, University of Granada, 18071 Granada, Spain.
| | | | | | - María Fernández-Cabezas
- Department of Developmental and Educational Psychology, Faculty of Educational Sciences, University of Granada, 18011 Granada, Spain
| | - María Jesús Álvarez-Cubero
- GENYO. Centre for Genomics and Oncological Research: Pfizer / University of Granada / Andalusian Regional Government PTS Granada - Avenida de la Ilustración, 114, 18016 Granada, Spain; Department of Biochemistry and Molecular Biology III, Faculty of Medicine, University of Granada, 18016 Granada, Spain; Instituto de Investigación Biosanitaria ibs.GRANADA, 18014 Granada, Spain
| | - Lourdes Rodrigo
- Department of Legal Medicine and Toxicology, Faculty of Medicine, University of Granada, 18016 Granada, Spain
| | - Ana Rivas
- Department of Nutrition and Food Science, Faculty of Pharmacy, University of Granada, 18071 Granada, Spain; "José Mataix Verdú" Institute of Nutrition and Food Technology (INYTA), Biomedical Research Centre (CIBM), University of Granada, 18100 Granada, Spain; Instituto de Investigación Biosanitaria ibs.GRANADA, 18014 Granada, Spain
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Ebbeling CB, Ludwig DS. Treatment for childhood obesity: Using a biological model to inform dietary targets. J Pediatr 2022; 255:22-29. [PMID: 36509158 DOI: 10.1016/j.jpeds.2022.12.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 11/22/2022] [Accepted: 12/06/2022] [Indexed: 12/14/2022]
Affiliation(s)
- Cara B Ebbeling
- New Balance Foundation Obesity Prevention Center, Boston Children's Hospital, Boston, MA, USA; Department of Pediatrics, Harvard Medical School, Boston, MA, USA.
| | - David S Ludwig
- New Balance Foundation Obesity Prevention Center, Boston Children's Hospital, Boston, MA, USA; Department of Pediatrics, Harvard Medical School, Boston, MA, USA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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Toh P, Nicholson JL, Vetter AM, Berry MJ, Torres DJ. Selenium in Bodily Homeostasis: Hypothalamus, Hormones, and Highways of Communication. Int J Mol Sci 2022; 23:15445. [PMID: 36499772 PMCID: PMC9739294 DOI: 10.3390/ijms232315445] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 11/30/2022] [Accepted: 12/04/2022] [Indexed: 12/12/2022] Open
Abstract
The ability of the body to maintain homeostasis requires constant communication between the brain and peripheral tissues. Different organs produce signals, often in the form of hormones, which are detected by the hypothalamus. In response, the hypothalamus alters its regulation of bodily processes, which is achieved through its own pathways of hormonal communication. The generation and transmission of the molecules involved in these bi-directional axes can be affected by redox balance. The essential trace element selenium is known to influence numerous physiological processes, including energy homeostasis, through its various redox functions. Selenium must be obtained through the diet and is used to synthesize selenoproteins, a family of proteins with mainly antioxidant functions. Alterations in selenium status have been correlated with homeostatic disturbances in humans and studies with animal models of selenoprotein dysfunction indicate a strong influence on energy balance. The relationship between selenium and energy metabolism is complicated, however, as selenium has been shown to participate in multiple levels of homeostatic communication. This review discusses the role of selenium in the various pathways of communication between the body and the brain that are essential for maintaining homeostasis.
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Affiliation(s)
- Pamela Toh
- Pacific Biosciences Research Center, School of Ocean and Earth Science and Technology, University of Hawaii at Manoa, Honolulu, HI 96822, USA
| | - Jessica L. Nicholson
- Pacific Biosciences Research Center, School of Ocean and Earth Science and Technology, University of Hawaii at Manoa, Honolulu, HI 96822, USA
- Department of Cell and Molecular Biology, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, HI 96813, USA
| | - Alyssa M. Vetter
- Pacific Biosciences Research Center, School of Ocean and Earth Science and Technology, University of Hawaii at Manoa, Honolulu, HI 96822, USA
- School of Human Nutrition, McGill University, Montreal, QC H3A 0G4, Canada
| | - Marla J. Berry
- Pacific Biosciences Research Center, School of Ocean and Earth Science and Technology, University of Hawaii at Manoa, Honolulu, HI 96822, USA
| | - Daniel J. Torres
- Pacific Biosciences Research Center, School of Ocean and Earth Science and Technology, University of Hawaii at Manoa, Honolulu, HI 96822, USA
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Dhanapal ACTA, Wuni R, Ventura EF, Chiet TK, Cheah ESG, Loganathan A, Quen PL, Appukutty M, Noh MFM, Givens I, Vimaleswaran KS. Implementation of Nutrigenetics and Nutrigenomics Research and Training Activities for Developing Precision Nutrition Strategies in Malaysia. Nutrients 2022; 14:5108. [PMID: 36501140 PMCID: PMC9740135 DOI: 10.3390/nu14235108] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 11/16/2022] [Accepted: 11/25/2022] [Indexed: 12/02/2022] Open
Abstract
Nutritional epidemiological studies show a triple burden of malnutrition with disparate prevalence across the coexisting ethnicities in Malaysia. To tackle malnutrition and related conditions in Malaysia, research in the new and evolving field of nutrigenetics and nutrigenomics is essential. As part of the Gene-Nutrient Interactions (GeNuIne) Collaboration, the Nutrigenetics and Nutrigenomics Research and Training Unit (N2RTU) aims to solve the malnutrition paradox. This review discusses and presents a conceptual framework that shows the pathway to implementing and strengthening precision nutrition strategies in Malaysia. The framework is divided into: (1) Research and (2) Training and Resource Development. The first arm collects data from genetics, genomics, transcriptomics, metabolomics, gut microbiome, and phenotypic and lifestyle factors to conduct nutrigenetic, nutrigenomic, and nutri-epigenetic studies. The second arm is focused on training and resource development to improve the capacity of the stakeholders (academia, healthcare professionals, policymakers, and the food industry) to utilise the findings generated by research in their respective fields. Finally, the N2RTU framework foresees its applications in artificial intelligence and the implementation of precision nutrition through the action of stakeholders.
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Affiliation(s)
- Anto Cordelia T. A. Dhanapal
- Centre for Biomedical and Nutrition Research, Universiti Tunku Abdul Rahman, Jalan Universiti, Bandar Barat, Kampar 31900, Malaysia
| | - Ramatu Wuni
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences and Institute for Cardiovascular and Metabolic Research (ICMR), University of Reading, Reading RG6 6DZ, UK
| | - Eduard F. Ventura
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences and Institute for Cardiovascular and Metabolic Research (ICMR), University of Reading, Reading RG6 6DZ, UK
| | - Teh Kuan Chiet
- Centre for Community Health Studies (ReaCH), Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur 50300, Malaysia
| | - Eddy S. G. Cheah
- Centre for Biomedical and Nutrition Research, Universiti Tunku Abdul Rahman, Jalan Universiti, Bandar Barat, Kampar 31900, Malaysia
| | - Annaletchumy Loganathan
- Centre for Biomedical and Nutrition Research, Universiti Tunku Abdul Rahman, Jalan Universiti, Bandar Barat, Kampar 31900, Malaysia
| | - Phoon Lee Quen
- Centre for Biomedical and Nutrition Research, Universiti Tunku Abdul Rahman, Jalan Universiti, Bandar Barat, Kampar 31900, Malaysia
| | - Mahenderan Appukutty
- Faculty of Sports Science and Recreation, Universiti Teknologi MARA, Shah Alam 40450, Malaysia
- Nutrition Society of Malaysia, Jalan PJS 1/48 off Jalan Klang Lama, Petaling Jaya 46150, Malaysia
| | - Mohd F. M. Noh
- Institute for Medical Research, National Institutes of Health, Jalan Setia Murni U13/52, Shah Alam 40170, Malaysia
| | - Ian Givens
- Institute for Food, Nutrition and Health (IFNH), University of Reading, Reading RG6 6AH, UK
| | - Karani Santhanakrishnan Vimaleswaran
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences and Institute for Cardiovascular and Metabolic Research (ICMR), University of Reading, Reading RG6 6DZ, UK
- Institute for Food, Nutrition and Health (IFNH), University of Reading, Reading RG6 6AH, UK
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Khodarahmi M, Siri G, Erahimzadeh F, Farhangi MA, Shanehbandi D. Dietary glycemic index and glycemic load mediate the effect of CARTPT rs2239670 gene polymorphism on metabolic syndrome and metabolic risk factors among adults with obesity. BMC Endocr Disord 2022; 22:288. [PMID: 36404325 PMCID: PMC9677654 DOI: 10.1186/s12902-022-01188-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 10/25/2022] [Indexed: 11/22/2022] Open
Abstract
INTRODUCTION The importance of genetic and dietary factors in occurrence and progression of chronic diseases such as metabolic syndrome (MetS) has been established. However, complex interrelationships, including direct and indirect effects of these variables are yet to be clarified. So, our aim was to investigate the mediating role of glycemic indices in the relationship between CARTPT rs2239670 polymorphism, socio-demographic and psychological factors and metabolic risk factors and the presence of MetS in adults with obesity. METHODS In a cross-sectional study of 288 apparently healthy adults with obesity aged 20-50 years, dietary glycemic index (GI) and glycemic load (GL) were measured using a validated semi-quantitative food frequency questionnaire (FFQ). Biochemical parameters, blood pressure and anthropometric indicators were assayed by standard methods. Genotyping was carried out by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) technique. Structural equation modeling (SEM) was used in the statistical analysis. RESULTS CARTPT rs2239670 had a positive direct effect on MetS (B = 0.037 ± 0.022; P = 0.043) and, on the other hand, this variant was found to be indirectly associated with MetS presence through mediation of GI (B = 0.039 ± 0.017; P = 0.009). CARTPT was a significant predictor of both dietary GI and GL (B = 1.647 ± 0.080 and B = 3.339 ± 0.242, respectively). Additionally, glycemic indicators appeared to mediate the association of age and gender with LDL-C (B = 0.917 ± 0.332; P = 0.006) and HDL (B = 1.047 ± 0.484; P = 0.031), respectively. GI showed a positive relationship with LDL-C (P = 0.024) in men and similar relationships were found between GL and LDL-C (P = 0.050) and cholesterol (P = 0.022) levels in women. CONCLUSION The SEM findings suggest a hypothesis of the mediating effect of glycemic indices in the relationship between genetic susceptibility to obesity and MetS presence. Our findings need to be confirmed with large prospective studies.
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Affiliation(s)
- Mahdieh Khodarahmi
- Nutrition and Food Security Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Goli Siri
- Department of Internal Medicine, Amir Alam Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Farnoosh Erahimzadeh
- Department of Internal Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | | | - Dariush Shanehbandi
- Molecular Medicine Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
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Fernández LP, Deleyto-Seldas N, Colmenarejo G, Sanz A, Wagner S, Plata-Gómez AB, Gómez-Patiño M, Molina S, Espinosa-Salinas I, Aguilar-Aguilar E, Ortega S, Graña-Castro O, Loria-Kohen V, Fernández-Marcos PJ, Efeyan A, Ramírez de Molina A. Folliculin-interacting protein FNIP2 impacts on overweight and obesity through a polymorphism in a conserved 3' untranslated region. Genome Biol 2022; 23:230. [PMID: 36316722 PMCID: PMC9620695 DOI: 10.1186/s13059-022-02798-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 10/19/2022] [Indexed: 11/04/2022] Open
Abstract
BACKGROUND Overweight and obesity are defined by an anomalous or excessive fat accumulation that may compromise health. To find single-nucleotide polymorphisms (SNPs) influencing metabolic phenotypes associated with the obesity state, we analyze multiple anthropometric and clinical parameters in a cohort of 790 healthy volunteers and study potential associations with 48 manually curated SNPs, in metabolic genes functionally associated with the mechanistic target of rapamycin (mTOR) pathway. RESULTS We identify and validate rs2291007 within a conserved region in the 3'UTR of folliculin-interacting protein FNIP2 that correlates with multiple leanness parameters. The T-to-C variant represents the major allele in Europeans and disrupts an ancestral target sequence of the miRNA miR-181b-5p, thus resulting in increased FNIP2 mRNA levels in cancer cell lines and in peripheral blood from carriers of the C allele. Because the miRNA binding site is conserved across vertebrates, we engineered the T-to-C substitution in the endogenous Fnip2 allele in mice. Primary cells derived from Fnip2 C/C mice show increased mRNA stability, and more importantly, Fnip2 C/C mice replicate the decreased adiposity and increased leanness observed in human volunteers. Finally, expression levels of FNIP2 in both human samples and mice negatively associate with leanness parameters, and moreover, are the most important contributor in a multifactorial model of body mass index prediction. CONCLUSIONS We propose that rs2291007 influences human leanness through an evolutionarily conserved modulation of FNIP2 mRNA levels.
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Affiliation(s)
- Lara P Fernández
- Molecular Oncology Group, IMDEA Food Institute, CEI UAM + CSIC, Madrid, Spain
| | | | - Gonzalo Colmenarejo
- Biostatistics and Bioinformatics Unit, IMDEA-Food Institute, CEI UAM+CSIC, Madrid, Spain
| | - Alba Sanz
- Spanish National Cancer Research Center, Madrid, Spain
| | - Sonia Wagner
- Molecular Oncology Group, IMDEA Food Institute, CEI UAM + CSIC, Madrid, Spain
| | | | - Mónica Gómez-Patiño
- GENYAL Platform on Nutrition and Health, IMDEA Food Institute, CEI UAM + CSIC, Madrid, Spain
| | - Susana Molina
- GENYAL Platform on Nutrition and Health, IMDEA Food Institute, CEI UAM + CSIC, Madrid, Spain
| | - Isabel Espinosa-Salinas
- GENYAL Platform on Nutrition and Health, IMDEA Food Institute, CEI UAM + CSIC, Madrid, Spain
| | - Elena Aguilar-Aguilar
- GENYAL Platform on Nutrition and Health, IMDEA Food Institute, CEI UAM + CSIC, Madrid, Spain
| | - Sagrario Ortega
- Mouse Genome Editing Unit, Spanish National Cancer Research Center, Madrid, Spain
| | - Osvaldo Graña-Castro
- Bioinformatics Unit, Spanish National Cancer Research Center, Madrid, Spain
- Institute of Applied Molecular Medicine (IMMA-Nemesio Díez), Department of Basic Medical Sciences, School of Medicine, San Pablo-CEU University, CEU Universities, Boadilla del Monte, Madrid, Spain
| | - Viviana Loria-Kohen
- GENYAL Platform on Nutrition and Health, IMDEA Food Institute, CEI UAM + CSIC, Madrid, Spain
| | | | - Alejo Efeyan
- Spanish National Cancer Research Center, Madrid, Spain.
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Akter S, Akhter H, Chaudhury HS, Rahman MH, Gorski A, Hasan MN, Shin Y, Rahman MA, Nguyen MN, Choi TG, Kim SS. Dietary carbohydrates: Pathogenesis and potential therapeutic targets to obesity-associated metabolic syndrome. Biofactors 2022; 48:1036-1059. [PMID: 36102254 DOI: 10.1002/biof.1886] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 07/01/2022] [Indexed: 02/06/2023]
Abstract
Metabolic syndrome (MetS) is a common feature in obesity, comprising a cluster of abnormalities including abdominal fat accumulation, hyperglycemia, hyperinsulinemia, dyslipidemia, and hypertension, leading to diabetes and cardiovascular diseases (CVD). Intake of carbohydrates (CHO), particularly a sugary diet that rapidly increases blood glucose, triglycerides, and blood pressure levels is the predominant determining factor of MetS. Complex CHO, on the other hand, are a stable source of energy taking a longer time to digest. In particular, resistant starch (RS) or soluble fiber is an excellent source of prebiotics, which alter the gut microbial composition, which in turn improves metabolic control. Altering maternal CHO intake during pregnancy may result in the child developing MetS. Furthermore, lifestyle factors such as physical inactivity in combination with dietary habits may synergistically influence gene expression by modulating genetic and epigenetic regulators transforming childhood obesity into adolescent metabolic disorders. This review summarizes the common pathophysiology of MetS in connection with the nature of CHO, intrauterine nutrition, genetic predisposition, lifestyle factors, and advanced treatment approaches; it also emphasizes how dietary CHO may act as a key element in the pathogenesis and future therapeutic targets of obesity and MetS.
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Affiliation(s)
- Salima Akter
- Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea
- Department of Medical Biotechnology, Bangladesh University of Health Sciences, Dhaka 1216, Bangladesh
| | - Hajara Akhter
- Biomedical and Toxicological Research Institute, Bangladesh Council of Scientific and Industrial Research (BCSIR), Dhaka 1205, Bangladesh
| | - Habib Sadat Chaudhury
- Department of Biochemistry, International Medical College Hospital, Tongi 1711, Bangladesh
| | - Md Hasanur Rahman
- Department of Biotechnology and Genetic Engineering, Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Gopalganj 8100, Bangladesh
| | - Andrew Gorski
- Department of Philosophy in Korean Medicine, College of Korean Medicine, Kyung Hee University, Seoul 02447, Republic of Korea
| | | | - Yoonhwa Shin
- Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea
- Biomedical Science Institute, Kyung Hee University, Seoul 02447, Republic of Korea
- Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul 02447, Republic of Korea
| | - Md Ataur Rahman
- Department of Pathology, College of Korean Medicine, Kyung Hee University, Seoul 02447, Republic of Korea
- Korean Medicine-Based Drug Repositioning Cancer Research Center, College of Korean Medicine, Kyung Hee University, Seoul 02447, Republic of Korea
- Global Biotechnology & Biomedical Research Network (GBBRN), Department of Biotechnology and Genetic Engineering, Faculty of Biological Sciences, Islamic University, Kushtia 7003, Bangladesh
| | - Minh Nam Nguyen
- Research Center for Genetics and Reproductive Health, School of Medicine, Vietnam National University, Ho Chi Minh City, Vietnam
| | - Tae Gyu Choi
- Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea
- Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul 02447, Republic of Korea
| | - Sung-Soo Kim
- Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea
- Pristine Pharmaceuticals, Patuakhali 8600, Bangladesh
- Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul 02447, Republic of Korea
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Cuevas-Sierra A, Milagro FI, Guruceaga E, Cuervo M, Goni L, García-Granero M, Martinez JA, Riezu-Boj JI. A weight-loss model based on baseline microbiota and genetic scores for selection of dietary treatments in overweight and obese population. Clin Nutr 2022; 41:1712-1723. [DOI: 10.1016/j.clnu.2022.06.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 05/31/2022] [Accepted: 06/06/2022] [Indexed: 11/03/2022]
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Qi L. Nutrition for precision health: The time is now. Obesity (Silver Spring) 2022; 30:1335-1344. [PMID: 35785484 DOI: 10.1002/oby.23448] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 03/13/2022] [Accepted: 03/21/2022] [Indexed: 11/11/2022]
Abstract
Precision nutrition has emerged as a boiling area of nutrition research, with a particular focus on revealing the individual variability in response to diets that is determined mainly by the complex interactions of dietary factors with the multi-tiered "omics" makeups. Reproducible findings from the observational studies and diet intervention trials have lent preliminary but consistent evidence to support the fundamental role of gene-diet interactions in determining the individual variability in health outcomes including obesity and weight loss. Recent investigations suggest that the abundance and diversity of the gut microbiome may also modify the dietary effects; however, considerable instability in the results from the microbiome research has been noted. In addition, growing studies suggest that a complicated multiomics algorithm would be developed by incorporating the genome, epigenome, metabolome, proteome, and microbiome in predicting the individual variability in response to diets. Moreover, precision nutrition would also scrutinize the role of biological (circadian) rhythm in determining the individual variability of dietary effects. The evidence gathered from precision nutrition research will be the basis for constructing precision health dietary recommendations, which hold great promise to help individuals and their health care providers create precise and effective diet plans for precision health in the future.
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Affiliation(s)
- Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
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Melo APC, Teixeira HMP, Coelho RS, De Jesus TDS, Queiroz GA, Silva HDS, De Almeida YCF, Alcantara-Neves NM, De Matos SMA, D'innocenzo S, Silva RDCR, Lima Barreto M, Costa RDS, Pinto LC, Figueiredo CA. Variants in proinflammatory genes IL1RL1, IL1B and IRF4 are associated with overweight in a pediatric Brazilian population. Gene X 2022; 828:146478. [PMID: 35390444 DOI: 10.1016/j.gene.2022.146478] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 03/30/2022] [Accepted: 04/01/2022] [Indexed: 11/04/2022] Open
Abstract
BACKGROUND Obesity is a chronic complex disease with great prevalence for children all over the world. Characterized for low-grade inflammation associated with several comorbidities such as resistance and type 2 diabetes mellitus (T2DM). OBJECTIVES To investigate whether genetic variants in IL10, IL1RL1, IL1B, IRF4, TNF, IL6, and IL33 genes are associated with being overweight in children. METHODS We performed the genotyping of 1004 children using Illumina 2.5 Human Omni bead chip, and association analysis on the genetic variants and the overweight through logistic regression adjusted for sex, age and components principal. RESULTS Of the seven genes analyzed, 16 SNVs significantly associated. Eleven variants in IL1RL1, two in IL1B and one in IRF4 genes increased overweight risk and two SNVs in IL1RL1 were associated with protection against overweight. The rs2287047-A was negatively associated (OR: 0.66, CI95%: 0.19-0.45) and had a reduced IL1RL1 expression in whole blood (p 0.033) in silico eQTL. The rs12203592-T, in IRF4, was positively associated with being overweight, and led to an increased gene expression in whole blood (p < 0.001) and adipose tissue (p < 0.001). CONCLUSION These results suggest that genetic variants in inflammatory genes may play an important role in the development of overweight in children.
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Affiliation(s)
| | | | - Raisa Santos Coelho
- Instituto de Ciências da Saúde, Universidade Federal da Bahia, Salvador, BA, Brazil
| | | | | | | | | | | | | | - Silvana D'innocenzo
- Instituto de Saúde Coletiva, Universidade Federal Da Bahia, Salvador, BA, Brazil
| | | | - Maurício Lima Barreto
- Instituto de Saúde Coletiva, Universidade Federal Da Bahia, Salvador, BA, Brazil; CIDACS - Centro de Integração De Dados E Conhecimentos Para Saúde, Fiocruz, Brazil
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Zeinalian R, Ahmadikhatir S, Esfahani EN, Namazi N, Larijani B. The roles of personalized nutrition in obesity and diabetes management: a review. J Diabetes Metab Disord 2022; 21:1119-1127. [PMID: 35673489 PMCID: PMC9167367 DOI: 10.1007/s40200-022-01016-0] [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: 07/05/2021] [Accepted: 02/28/2022] [Indexed: 11/27/2022]
Abstract
Background & Aims Nutrition is one of main environmental factor affecting obesity and its related complications such as diabetes and dyslipidemia. Due to growing prevalence of obesity across the world, it seems that nutritional advice alone is not able to combat this health problem. The present overview aimed to summarize the roles of personalized nutrition (PN) in obesity and diabetes management. Methods Scopus, PubMed and Google scholar were searched up to February 2021 to find relevant studies with English language in which the roles of PN in obesity and diabetes management were examined. Results Recent evidence revealed the importance of gene-environment interactions for management of diabetes mellitus and obesity. Moreover, microbiome research showed that personalized diet based on a combination of clinical and microbial features is likely to improve responses to therapeutic interventions. Epigenetics as well as genetic and environmental factors can also contribute to the treatment. In addition, articles showed significant roles of epigenetics and gut microbiome on providing an individualized diet for obese and diabetic patients. Conclusion PN compare to conventional diet can better improve metabolic status in obese and diabetic patients. Considering genetic differences and microbiome patterns along with environmental factors and their interactions are recommended for obesity and diabetes management. This approach can increase success in promoting health and preventing complications related to diabetes and obesity.
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Affiliation(s)
- Reihaneh Zeinalian
- Faculty of Nutrition and Food Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Shonaz Ahmadikhatir
- Faculty of Nutrition and Food Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Ensieh Nasli Esfahani
- Personalized Medicine Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Nazli Namazi
- Diabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Bagher Larijani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
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Jian C, Silvestre MP, Middleton D, Korpela K, Jalo E, Broderick D, de Vos WM, Fogelholm M, Taylor MW, Raben A, Poppitt S, Salonen A. Gut microbiota predicts body fat change following a low-energy diet: a PREVIEW intervention study. Genome Med 2022; 14:54. [PMID: 35599315 PMCID: PMC9125896 DOI: 10.1186/s13073-022-01053-7] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 05/04/2022] [Indexed: 12/17/2022] Open
Abstract
Background Low-energy diets (LEDs) comprise commercially formulated food products that provide between 800 and 1200 kcal/day (3.3–5 MJ/day) to aid body weight loss. Recent small-scale studies suggest that LEDs are associated with marked changes in the gut microbiota that may modify the effect of the LED on host metabolism and weight loss. We investigated how the gut microbiota changed during 8 weeks of total meal replacement LED and determined their associations with host response in a sub-analysis of 211 overweight adults with pre-diabetes participating in the large multicentre PREVIEW (PREVention of diabetes through lifestyle intervention and population studies In Europe and around the World) clinical trial. Methods Microbial community composition was analysed by Illumina sequencing of the hypervariable V3-V4 regions of the 16S ribosomal RNA (rRNA) gene. Butyrate production capacity was estimated by qPCR targeting the butyryl-CoA:acetate CoA-transferase gene. Bioinformatics and statistical analyses, such as comparison of alpha and beta diversity measures, correlative and differential abundances analysis, were undertaken on the 16S rRNA gene sequences of 211 paired (pre- and post-LED) samples as well as their integration with the clinical, biomedical and dietary datasets for predictive modelling. Results The overall composition of the gut microbiota changed markedly and consistently from pre- to post-LED (P = 0.001), along with increased richness and diversity (both P < 0.001). Following the intervention, the relative abundance of several genera previously associated with metabolic improvements (e.g., Akkermansia and Christensenellaceae R-7 group) was significantly increased (P < 0.001), while flagellated Pseudobutyrivibrio, acetogenic Blautia and Bifidobacterium spp. were decreased (all P < 0.001). Butyrate production capacity was reduced (P < 0.001). The changes in microbiota composition and predicted functions were significantly associated with body weight loss (P < 0.05). Baseline gut microbiota features were able to explain ~25% of variation in total body fat change (post–pre-LED). Conclusions The gut microbiota and individual taxa were significantly influenced by the LED intervention and correlated with changes in total body fat and body weight in individuals with overweight and pre-diabetes. Despite inter-individual variation, the baseline gut microbiota was a strong predictor of total body fat change during the energy restriction period. Trial registration The PREVIEW trial was prospectively registered at ClinicalTrials.gov (NCT01777893) on January 29, 2013. Supplementary Information The online version contains supplementary material available at 10.1186/s13073-022-01053-7.
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Li A, Li X, Zhou T, Ma H, Heianza Y, Williamson DA, Smith SR, Bray GA, Sacks FM, Qi L. Sleep Disturbance and Changes in Energy Intake and Body Composition During Weight Loss in the POUNDS Lost Trial. Diabetes 2022; 71:934-944. [PMID: 35202470 PMCID: PMC9044134 DOI: 10.2337/db21-0699] [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: 08/06/2021] [Accepted: 02/15/2022] [Indexed: 11/13/2022]
Abstract
To examine associations between sleep disturbance and changes in weight and body composition and the mediating role of changes of appetite and food cravings in the Preventing Overweight Using Novel Dietary Strategies (POUNDS Lost) 2-year weight-loss diet intervention trial, this study included 810 overweight or obese individuals with baseline sleep disturbance assessment who were randomly assigned one of four diets varying in macronutrient composition. Changes in body weight and fat distribution were assessed by DEXA and computed tomography during the 2-year intervention. Participants were asked to provide sleep disturbance levels (no, slight, moderate, or great) at baseline and to recall their sleep disturbances since last visit at 6, 12, 18, and 24 months. Weight loss during the first 6 months was followed by 1.5 years of steady weight regain. Participants with greater sleep disturbance from baseline to 6 months showed significant losses of body weight (Ptrend <0.001) and waist circumference (Ptrend = 0.002) at 6 months, after multivariate adjustment. Compared with individuals without sleep disturbance at all from baseline to 6 months, those with slight, moderate, or great sleep disturbance showed an elevated risk of failure to lose weight (-5% or more loss) at 6 months, when the maximum weight loss was achieved, with an odds ratio of 1.24 (95% CI 0.87, 1.78), 1.27 (95% CI 0.75, 2.13), or 3.12 (95% CI 1.61, 6.03), respectively. In addition, we observed that the repeatedly measured levels of sleep disturbance over 2 years were inversely associated with the overall weight loss rate (weight changes per 6 months) (Ptrend <0.001). Further, sleep disturbances during weight loss from baseline to 6 months and weight regain from 6 months to 24 months were significantly predictive of total fat, total fat mass percent, and trunk fat percent changes during the 2 years. Our results also indicated that food cravings for carbohydrates/starches, fast food fats, and sweets; cravings, prospective consumption, hunger of appetite measurements; and dietary restraint, disinhibition, and hunger subscales measured at 6 months significantly mediated the effects of sleep disturbance on weight loss. In conclusion, our results suggested that more severe sleep disturbance during weight loss was associated with an elevated risk of failure to lose weight during the dietary intervention. Food cravings and eating behaviors may partly mediate these associations.
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Affiliation(s)
- Ang Li
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
| | - Xiang Li
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
| | - Tao Zhou
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
| | - Hao Ma
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
| | - Yoriko Heianza
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
| | - Donald A. Williamson
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA
| | - Steven R. Smith
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA
| | - George A. Bray
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA
| | - Frank M. Sacks
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
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Ramírez V, Robles-Aguilera V, Salcedo-Bellido I, Gálvez-Ontiveros Y, Rodrigo L, Martinez-Gonzalez LJ, Monteagudo C, Álvarez-Cubero MJ, Rivas A. Effects of genetic polymorphisms in body mass index according to dietary exposure to bisphenols and parabens. CHEMOSPHERE 2022; 293:133421. [PMID: 34958792 DOI: 10.1016/j.chemosphere.2021.133421] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 12/18/2021] [Accepted: 12/22/2021] [Indexed: 06/14/2023]
Abstract
A growing body of evidence supports that more than 900 single nucleotide polymorphisms (SNPs) and exposure to endocrine disrupting chemicals, such as bisphenols and parabens, are important contributors to the development of obesity. The aim of this study was to evaluate the way in which fat mass and obesity-associated gene (FTO) rs9939609 and leptin receptor (LEPR) rs9436303 variants contribute to variability in body mass index (BMI) according to estimated dietary exposure of bisphenols and parabens. This cross-sectional study included 101 Spanish participants (16-24 years). SNP genotyping assays were performed through quantitative PCRs (qPCRs) using Taqman® probes. Dietary exposure to bisphenols and parabens was calculated from food frequency questionnaire and chemical determination in food samples by ultra-high performance liquid chromatography-tandem mass spectrometry system. Linear regression models were conducted to address the association of genetic variants and BMI according to levels of bisphenols/parabens exposure. Risk G allele of LEPR rs9436303 was significantly positively associated with BMI (exp (β) = 1.20, 95% CI: 1.04-1.38, p = 0.011). In participants highly exposed to bisphenols, the LEPR rs9436303 G allele was related to a significant increased BMI (exp (β) = 1.27, 95% CI: 1.03-1.57, p = 0.024). A more relevant trend was observed with high exposure to parabens (exp (β) = 1.33, 95% CI: 1.08-1.63, p = 0.009). We provide the first evidence that interaction between LEPR polymorphism and dietary intake of bisphenols and parabens may be responsible for an increased BMI, suggesting a potential effect in obesity. Moreover, we proposed LEPR rs9436303 as a genetic marker of susceptibility to excess weight induced by exposure.
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Affiliation(s)
- Viviana Ramírez
- Department of Nutrition and Food Science, University of Granada, Cartuja Campus, 18071, Granada, Spain; GENYO, Centre for Genomics and Oncological Research: Pfizer, University of Granada, Andalusian Regional Government, PTS Granada, Granada, Spain
| | - Virginia Robles-Aguilera
- Department of Nutrition and Food Science, University of Granada, Cartuja Campus, 18071, Granada, Spain
| | - Inmaculada Salcedo-Bellido
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain; Department of Preventive Medicine and Public Health, University of Granada, Cartuja Campus, 18071, Granada, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), Monforte de Lemos 5, 2809, Madrid, Spain
| | - Yolanda Gálvez-Ontiveros
- Department of Nutrition and Food Science, University of Granada, Cartuja Campus, 18071, Granada, Spain; Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
| | - Lourdes Rodrigo
- Department of Legal Medicine and Toxicology, University of Granada, 18071, Granada, Spain
| | - Luis Javier Martinez-Gonzalez
- GENYO, Centre for Genomics and Oncological Research: Pfizer, University of Granada, Andalusian Regional Government, PTS Granada, Granada, Spain
| | - Celia Monteagudo
- Department of Nutrition and Food Science, University of Granada, Cartuja Campus, 18071, Granada, Spain; Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain.
| | - María Jesús Álvarez-Cubero
- GENYO, Centre for Genomics and Oncological Research: Pfizer, University of Granada, Andalusian Regional Government, PTS Granada, Granada, Spain; Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain; Department of Biochemistry and Molecular Biology III, University of Granada, Faculty of Medicine, PTS, Granada, Spain
| | - Ana Rivas
- Department of Nutrition and Food Science, University of Granada, Cartuja Campus, 18071, Granada, Spain; Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
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Dashti HS, Miranda N, Cade BE, Huang T, Redline S, Karlson EW, Saxena R. Interaction of obesity polygenic score with lifestyle risk factors in an electronic health record biobank. BMC Med 2022; 20:5. [PMID: 35016652 PMCID: PMC8753909 DOI: 10.1186/s12916-021-02198-9] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Accepted: 11/23/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Genetic and lifestyle factors have considerable effects on obesity and related diseases, yet their effects in a clinical cohort are unknown. This study in a patient biobank examined associations of a BMI polygenic risk score (PRS), and its interactions with lifestyle risk factors, with clinically measured BMI and clinical phenotypes. METHODS The Mass General Brigham (MGB) Biobank is a hospital-based cohort with electronic health record, genetic, and lifestyle data. A PRS for obesity was generated using 97 genetic variants for BMI. An obesity lifestyle risk index using survey responses to obesogenic lifestyle risk factors (alcohol, education, exercise, sleep, smoking, and shift work) was used to dichotomize the cohort into high and low obesogenic index based on the population median. Height and weight were measured at a clinical visit. Multivariable linear cross-sectional associations of the PRS with BMI and interactions with the obesity lifestyle risk index were conducted. In phenome-wide association analyses (PheWAS), similar logistic models were conducted for 675 disease outcomes derived from billing codes. RESULTS Thirty-three thousand five hundred eleven patients were analyzed (53.1% female; age 60.0 years; BMI 28.3 kg/m2), of which 17,040 completed the lifestyle survey (57.5% female; age: 60.2; BMI: 28.1 (6.2) kg/m2). Each standard deviation increment in the PRS was associated with 0.83 kg/m2 unit increase in BMI (95% confidence interval (CI) =0.76, 0.90). There was an interaction between the obesity PRS and obesity lifestyle risk index on BMI. The difference in BMI between those with a high and low obesogenic index was 3.18 kg/m2 in patients in the highest decile of PRS, whereas that difference was only 1.55 kg/m2 in patients in the lowest decile of PRS. In PheWAS, the obesity PRS was associated with 40 diseases spanning endocrine/metabolic, circulatory, and 8 other disease groups. No interactions were evident between the PRS and the index on disease outcomes. CONCLUSIONS In this hospital-based clinical biobank, obesity risk conferred by common genetic variants was associated with elevated BMI and this risk was attenuated by a healthier patient lifestyle. Continued consideration of the role of lifestyle in the context of genetic predisposition in healthcare settings is necessary to quantify the extent to which modifiable lifestyle risk factors may moderate genetic predisposition and inform clinical action to achieve personalized medicine.
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Affiliation(s)
- Hassan S Dashti
- Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA. .,Broad Institute, Cambridge, MA, USA. .,Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
| | - Nicole Miranda
- Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Brian E Cade
- Broad Institute, Cambridge, MA, USA.,Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Tianyi Huang
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA.,Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Elizabeth W Karlson
- Mass General Brigham Personalized Medicine, Mass General Brigham HealthCare, Boston, MA, USA.,Department of Medicines, Brigham and Women's Hospital and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.,Division of Rheumatology, Inflammation and Immunity, Brigham and Women's Hospital, Boston, MA, USA
| | - Richa Saxena
- Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.,Broad Institute, Cambridge, MA, USA.,Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
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