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Mallin M, Hall J, Herlihy M, Gelman EJ, Stone MB. A pilot retrospective study of a physician-directed and genomics-based model for precision lifestyle medicine. Front Med (Lausanne) 2023; 10:1239737. [PMID: 37942418 PMCID: PMC10629614 DOI: 10.3389/fmed.2023.1239737] [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: 06/13/2023] [Accepted: 10/09/2023] [Indexed: 11/10/2023] Open
Abstract
Precision lifestyle medicine is a relatively new field in primary care, based on the hypothesis that genetic predispositions influence an individual's response to specific interventions such as diet, exercise, and prescription medications. Despite the increase in commercially available genomic testing, few studies have investigated effects of a physician-directed program to optimize chronic disease using genomics-based precision medicine. We performed an pilot, observational cohort study to evaluate effects of the Wild Health program, a physician and health coach service offering genomics-based lifestyle and medical interventions, on biomarkers indicative of chronic disease. 871 patients underwent genomic testing, biomarker testing, and ongoing health coaching after initial medical consultation by a physician. Improvements in several clinically relevant out-of-range biomarkers at baseline were identified in a large proportion of patients treated through lifestyle intervention without the use of prescription medication. Notably, normalization of several biomarkers associated with chronic disease occurred in 47.5% (hemoglobin A1c [HbA1c]), 33.3% (low density lipoprotein particle number [LDL-P]), and 33.2% (C-reactive protein [CRP]). However, due to the inherent limitations of our observational study design and use of retrospective data, ongoing work will be crucial for continuing to shed light on the effectiveness of physician-led, genomics-based lifestyle coaching programs. Future studies would benefit from implementing a randomized controlled study design, tracking specific interventions, and evaluating physiological data, such as BMI.
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Affiliation(s)
| | - Jane Hall
- Jane Hall Biomed, LLC., Seattle, WA, United States
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Holzapfel C, Sag S, Graf-Schindler J, Fischer M, Drabsch T, Illig T, Grallert H, Stecher L, Strack C, Caterson ID, Jebb SA, Hauner H, Baessler A. Association between Single Nucleotide Polymorphisms and Weight Reduction in Behavioural Interventions-A Pooled Analysis. Nutrients 2021; 13:nu13030819. [PMID: 33801339 PMCID: PMC7998423 DOI: 10.3390/nu13030819] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 02/23/2021] [Accepted: 02/25/2021] [Indexed: 11/24/2022] Open
Abstract
Knowledge of the association between single nucleotide polymorphisms (SNPs) and weight loss is limited. The aim was to analyse whether selected obesity-associated SNPs within the fat mass and obesity-associated (FTO), transmembrane protein 18 (TMEM18), melanocortin-4 receptor (MC4R), SEC16 homolog B (SEC16B), and brain-derived neurotrophic factor (BDNF) gene are associated with anthropometric changes during behavioural intervention for weight loss. genetic and anthropometric data from 576 individuals with overweight and obesity from four lifestyle interventions were obtained. A genetic predisposition score (GPS) was calculated. Our results show that study participants had a mean age of 48.2 ± 12.6 years and a mean baseline body mass index of 33.9 ± 6.4 kg/m2. Mean weight reduction after 12 months was −7.7 ± 10.9 kg. After 12 months of intervention, the MC4R SNPs rs571312 and rs17782313 were significantly associated with a greater decrease in body weight and BMI (p = 0.012, p = 0.011, respectively). The investigated SNPs within the other four genetic loci showed no statistically significant association with changes in anthropometric parameters. The GPS showed no statistically significant association with weight reduction. In conclusion there was no consistent evidence for statistically significant associations of SNPs with anthropometric changes during a behavioural intervention. It seems that other factors play a more significant in weight management than the investigated SNPs.
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Affiliation(s)
- Christina Holzapfel
- Institute for Nutritional Medicine, School of Medicine, Technical University of Munich, 80992 Munich, Germany; (J.G.-S.); (T.D.); (L.S.); (H.H.)
- Correspondence: ; Tel.: +49-89-28924923; Fax: +49-89-28924922
| | - Sabine Sag
- Clinic of Internal Medicine II, University Hospital of Regensburg, 93053 Regensburg, Germany; (S.S.); (M.F.); (C.S.); (A.B.)
| | - Johanna Graf-Schindler
- Institute for Nutritional Medicine, School of Medicine, Technical University of Munich, 80992 Munich, Germany; (J.G.-S.); (T.D.); (L.S.); (H.H.)
| | - Marcus Fischer
- Clinic of Internal Medicine II, University Hospital of Regensburg, 93053 Regensburg, Germany; (S.S.); (M.F.); (C.S.); (A.B.)
| | - Theresa Drabsch
- Institute for Nutritional Medicine, School of Medicine, Technical University of Munich, 80992 Munich, Germany; (J.G.-S.); (T.D.); (L.S.); (H.H.)
| | - Thomas Illig
- Hannover Unified Biobank, Hannover Medical School, 30625 Hannover, Germany;
| | - Harald Grallert
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany;
| | - Lynne Stecher
- Institute for Nutritional Medicine, School of Medicine, Technical University of Munich, 80992 Munich, Germany; (J.G.-S.); (T.D.); (L.S.); (H.H.)
| | - Christina Strack
- Clinic of Internal Medicine II, University Hospital of Regensburg, 93053 Regensburg, Germany; (S.S.); (M.F.); (C.S.); (A.B.)
| | - Ian D. Caterson
- Boden Collaboration, Charles Perkins Centre, University of Sydney, Sydney, NSW 2006, Australia;
| | - Susan A. Jebb
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK;
| | - Hans Hauner
- Institute for Nutritional Medicine, School of Medicine, Technical University of Munich, 80992 Munich, Germany; (J.G.-S.); (T.D.); (L.S.); (H.H.)
- ZIEL Institute for Food and Health, Else Kröner-Fresenius-Center of Nutritional Medicine, School of Life Sciences, Technical University of Munich, 85354 Freising-Weihenstephan, Germany
| | - Andrea Baessler
- Clinic of Internal Medicine II, University Hospital of Regensburg, 93053 Regensburg, Germany; (S.S.); (M.F.); (C.S.); (A.B.)
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3
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Zubair N, Conomos MP, Hood L, Omenn GS, Price ND, Spring BJ, Magis AT, Lovejoy JC. Genetic Predisposition Impacts Clinical Changes in a Lifestyle Coaching Program. Sci Rep 2019; 9:6805. [PMID: 31048771 PMCID: PMC6497671 DOI: 10.1038/s41598-019-43058-0] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2018] [Accepted: 04/12/2019] [Indexed: 12/31/2022] Open
Abstract
Both genetic and lifestyle factors contribute to an individual's disease risk, suggesting a multi-omic approach is essential for personalized prevention. Studies have examined the effectiveness of lifestyle coaching on clinical outcomes, however, little is known about the impact of genetic predisposition on the response to lifestyle coaching. Here we report on the results of a real-world observational study in 2531 participants enrolled in a commercial "Scientific Wellness" program, which combines multi-omic data with personalized, telephonic lifestyle coaching. Specifically, we examined: 1) the impact of this program on 55 clinical markers and 2) the effect of genetic predisposition on these clinical changes. We identified sustained improvements in clinical markers related to cardiometabolic risk, inflammation, nutrition, and anthropometrics. Notably, improvements in HbA1c were akin to those observed in landmark trials. Furthermore, genetic markers were associated with longitudinal changes in clinical markers. For example, individuals with genetic predisposition for higher LDL-C had a lesser decrease in LDL-C on average than those with genetic predisposition for average LDL-C. Overall, these results suggest that a program combining multi-omic data with lifestyle coaching produces clinically meaningful improvements, and that genetic predisposition impacts clinical responses to lifestyle change.
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Affiliation(s)
| | - Matthew P Conomos
- Arivale, Inc, Seattle, WA, 98104, USA.,Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Leroy Hood
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA, 98109, USA.,Providence St. Joseph Health, Seattle, Washington, USA
| | - Gilbert S Omenn
- Computational Medicine and Bioinformatics, Department of Human Genetics, Molecular Medicine and Genetics, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Nathan D Price
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA, 98109, USA
| | - Bonnie J Spring
- Center for Behavior and Health, Institute for Public Health and Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | | | - Jennifer C Lovejoy
- Arivale, Inc, Seattle, WA, 98104, USA. .,Institute for Systems Biology, 401 Terry Ave N, Seattle, WA, 98109, USA.
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Zang X, Huang H, Zhuang Z, Chen R, Xie Z, Xu C, Mo X. The association between serum copper concentrations and cardiovascular disease risk factors in children and adolescents in NHANES. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2018; 25:16951-16958. [PMID: 29623647 DOI: 10.1007/s11356-018-1816-6] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2017] [Accepted: 03/19/2018] [Indexed: 06/08/2023]
Abstract
Copper is an essential element in human beings, alterations in serum copper levels could potentially have effect on human health. To date, no data are available regarding how serum copper affects cardiovascular disease (CVD) risk factors in children and adolescents. We examined the association between serum copper levels and CVD risk factors in children and adolescents. We analyzed data consisting of 1427 subjects from a nationally representative sample of the US population in the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2014. The CVD risk factors included total cholesterol, HDL-cholesterol, LDL-cholesterol, triglycerides, fasting glucose, glycohemoglobin, fasting insulin, and blood pressure. Multivariate and generalized linear regressions were performed to investigate associations adjusted for age, gender, ethnicity, poverty:income ratio (PIR), BMI, energy intake, and physical activity. We found significant associations between serum copper and total cholesterol (coefficient = 0.132; 95% CI 0.081, 0.182; P for trend < 0.001), glycohemoglobin (coefficient = 0.044; 95% CI 0.020, 0.069; P < 0.001), and fasting insulin (coefficient = 0.730; 95% CI 0.410, 1.050; P < 0.001) among the included participants. Moreover, in the generalized linear models, subjects with the highest copper levels demonstrated a 0.83% (95% CI 0.44%, 1.24%) greater increase in serum total cholesterol (p for trend < 0.001) when compared to participants with the lowest copper concentrations. Our results provide the first epidemiological evidence that serum copper concentrations are associated with total cholesterol concentrations in children and adolescents. However, the underlying mechanisms still need further exploration.
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Affiliation(s)
- Xiaodong Zang
- Department of Cardiothoracic Surgery, Children's Hospital of Nanjing Medical University, 72 Guangzhou Road, Nanjing, 210008, China
| | - Hesuyuan Huang
- Department of Cardiothoracic Surgery, Children's Hospital of Nanjing Medical University, 72 Guangzhou Road, Nanjing, 210008, China
| | - Zhulun Zhuang
- Department of Cardiothoracic Surgery, Children's Hospital of Nanjing Medical University, 72 Guangzhou Road, Nanjing, 210008, China
| | - Runsen Chen
- Department of Cardiothoracic Surgery, Children's Hospital of Nanjing Medical University, 72 Guangzhou Road, Nanjing, 210008, China
| | - Zongyun Xie
- Department of Cardiothoracic Surgery, Children's Hospital of Nanjing Medical University, 72 Guangzhou Road, Nanjing, 210008, China
| | - Cheng Xu
- Department of Cardiothoracic Surgery, Children's Hospital of Nanjing Medical University, 72 Guangzhou Road, Nanjing, 210008, China
| | - Xuming Mo
- Department of Cardiothoracic Surgery, Children's Hospital of Nanjing Medical University, 72 Guangzhou Road, Nanjing, 210008, China.
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Ramos-Lopez O, Riezu-Boj JI, Milagro FI, Goni L, Cuervo M, Martinez JA. Association of the Gly482Ser PPARGC1A gene variant with different cholesterol outcomes in response to two energy-restricted diets in subjects with excessive weight. Nutrition 2018; 47:83-89. [PMID: 29429541 DOI: 10.1016/j.nut.2017.10.008] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2017] [Revised: 09/13/2017] [Accepted: 10/10/2017] [Indexed: 12/21/2022]
Abstract
OBJECTIVES The aim of this study was to investigate the influence of two PPARGC1A gene polymorphisms on metabolic outcomes in response to two energy-restricted diets. METHODS A 4-mo nutritional intervention was conducted that involved two different hypo-energetic diets based on low-fat (LF) and moderately high-protein (MHP) dietary patterns. Unrelated subjects with excessive weight were genotyped for two PPARGC1A polymorphisms: Rs8192678 (Gly482Ser) and rs3755863 (G > A). Genotyping was performed by next-generation sequencing and haplotypes were screened. Anthropometric measurements and biochemical tests were assessed with standardized methods. RESULTS Different cholesterol outcomes were observed by diet and Gly482Ser genotype. The Gly482 Gly homozygotes after an LF diet had lower reductions in total cholesterol (-9 mg/dL vs. -27 mg/dL; P = 0.017) and low-density lipoprotein cholesterol levels (-5 mg/dL vs. -18 mg/dL; P = 0.016) than the subjects who were carriers of 482 Ser allele. However, this finding was not recorded in the MHP group where Gly482 Gly homozygotes underwent similar cholesterol decreases as the 482 Ser allele carriers. Likewise, all genotype carriers had significant reductions in the frequencies of hypercholesterolemia (total cholesterol ≥200 mg/dL) except for Gly482 Gly homozygotes in the LF group. Meanwhile, the rs3755863 polymorphism and PPARGC1A haplotypes showed borderline effects with regard to cholesterol decreases. CONCLUSIONS An energy-restricted MHP diet might be more beneficial than an LF diet to reduce serum cholesterol among subjects who are carriers of the PPARGC1A Gly482Gly genotype. The analysis of this genetic variant might be the basis for a precise, nutrigenetic management of hypercholesterolemia based on genetic makeup.
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Affiliation(s)
- Omar Ramos-Lopez
- Department of Nutrition, Food Science and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
| | - Jose I Riezu-Boj
- Department of Nutrition, Food Science and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain; Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Fermin I Milagro
- Department of Nutrition, Food Science and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain; Biomedical Research Centre Network in Physiopathology of Obesity and Nutrition (CIBERobn), Carlos III Institute, Madrid, Spain
| | - Leticia Goni
- Department of Nutrition, Food Science and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
| | - Marta Cuervo
- Department of Nutrition, Food Science and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain; Navarra Institute for Health Research (IdiSNA), Pamplona, Spain; Biomedical Research Centre Network in Physiopathology of Obesity and Nutrition (CIBERobn), Carlos III Institute, Madrid, Spain
| | - Jose A Martinez
- Department of Nutrition, Food Science and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain; Navarra Institute for Health Research (IdiSNA), Pamplona, Spain; Biomedical Research Centre Network in Physiopathology of Obesity and Nutrition (CIBERobn), Carlos III Institute, Madrid, Spain; Madrid Institute of Advanced Studies (IMDEA Food), Madrid, Spain.
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Mediterranean Diet Adherence and Genetic Background Roles within a Web-Based Nutritional Intervention: The Food4Me Study. Nutrients 2017; 9:nu9101107. [PMID: 29019927 PMCID: PMC5691723 DOI: 10.3390/nu9101107] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2017] [Revised: 10/04/2017] [Accepted: 10/09/2017] [Indexed: 01/02/2023] Open
Abstract
Mediterranean Diet (MedDiet) adherence has been proven to produce numerous health benefits. In addition, nutrigenetic studies have explained some individual variations in the response to specific dietary patterns. The present research aimed to explore associations and potential interactions between MedDiet adherence and genetic background throughout the Food4Me web-based nutritional intervention. Dietary, anthropometrical and biochemical data from volunteers of the Food4Me study were collected at baseline and after 6 months. Several genetic variants related to metabolic risk features were also analysed. A Genetic Risk Score (GRS) was derived from risk alleles and a Mediterranean Diet Score (MDS), based on validated food intake data, was estimated. At baseline, there were no interactions between GRS and MDS categories for metabolic traits. Linear mixed model repeated measures analyses showed a significantly greater decrease in total cholesterol in participants with a low GRS after a 6-month period, compared to those with a high GRS. Meanwhile, a high baseline MDS was associated with greater decreases in Body Mass Index (BMI), waist circumference and glucose. There also was a significant interaction between GRS and the MedDiet after the follow-up period. Among subjects with a high GRS, those with a high MDS evidenced a highly significant reduction in total carotenoids, while among those with a low GRS, there was no difference associated with MDS levels. These results suggest that a higher MedDiet adherence induces beneficial effects on metabolic outcomes, which can be affected by the genetic background in some specific markers.
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7
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Chaudhry ZW, Doshi RS, Mehta AK, Jacobs DK, Vakil RM, Lee CJ, Bleich SN, Kalyani RR, Clark JM, Gudzune KA. A systematic review of commercial weight loss programmes' effect on glycemic outcomes among overweight and obese adults with and without type 2 diabetes mellitus. Obes Rev 2016; 17:758-69. [PMID: 27230990 PMCID: PMC5512172 DOI: 10.1111/obr.12423] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2015] [Revised: 03/25/2016] [Accepted: 03/25/2016] [Indexed: 01/09/2023]
Abstract
OBJECTIVE We examined the glycemic benefits of commercial weight loss programmes as compared with control/education or counselling among overweight and obese adults with and without type 2 diabetes mellitus (T2DM). METHODS We searched MEDLINE, Cochrane Database of Systematic Reviews, and references cited by individual programmes. We included randomized controlled trials of ≥12 weeks duration. Two reviewers extracted information on study design, population characteristics, interventions, and mean changes in haemoglobin A1c and glucose. RESULTS We included 18 randomized controlled trials. Few trials occurred among individuals with T2DM. In this population, Jenny Craig reduced A1c at least 0.4% more than counselling at 12 months, Nutrisystem significantly reduced A1c 0.3% more than counselling at 6 months, and OPTIFAST reduced A1c 0.3% more than counselling at 6 months. Among individuals without T2DM, few studies evaluated glycemic outcomes, and when reported, most did not show substantial reductions. DISCUSSION Few trials have examined whether commercial weight loss programmes result in glycemic benefits for their participants, particularly among overweight and obese individuals without T2DM. Jenny Craig, Nutrisystem and OPTIFAST show promising glycemic lowering benefits for patients with T2DM, although additional studies are needed to confirm these conclusions. © 2016 World Obesity.
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Affiliation(s)
- Z W Chaudhry
- The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - R S Doshi
- The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - A K Mehta
- The Johns Hopkins Bayview Medical Center, Baltimore, MD, USA
| | - D K Jacobs
- The University of Maryland School of Medicine, Baltimore, MD, USA
| | - R M Vakil
- The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.,Rutgers Robert Wood Johnson Medical School, Piscataway, NJ, USA
| | - C J Lee
- The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - S N Bleich
- The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - R R Kalyani
- The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - J M Clark
- The Johns Hopkins University School of Medicine, Baltimore, MD, USA.,The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.,The Welch Center for Prevention, Epidemiology, Prevention, and Clinical Research, Baltimore, MD, USA
| | - K A Gudzune
- The Johns Hopkins University School of Medicine, Baltimore, MD, USA.,The Welch Center for Prevention, Epidemiology, Prevention, and Clinical Research, Baltimore, MD, USA
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8
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Abdullah MMH, Jones PJH, Eck PK. Nutrigenetics of cholesterol metabolism: observational and dietary intervention studies in the postgenomic era. Nutr Rev 2015; 73:523-43. [PMID: 26117841 DOI: 10.1093/nutrit/nuv016] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Cholesterol metabolism is a well-defined responder to dietary intakes and a classic biomarker of cardiovascular health. For this reason, circulating cholesterol levels have become key in shaping nutritional recommendations by health authorities worldwide for better management of cardiovascular disease, a leading cause of mortality and one of the most costly health problems globally. Data from observational and dietary intervention studies, however, highlight a marked between-individual variability in the response of cholesterol metabolism to similar dietary protocols, a phenomenon linked to genetic heterogeneity. This review summarizes the postgenomic evidence of polymorphisms within cholesterol-associated genes relative to fasting circulating cholesterol levels under diverse nutritional conditions. A number of cholesterol-related gene-diet interactions are confirmed, which may have clinical importance, supporting a deeper look into the rapidly emerging field of nutrigenetics for meaningful conclusions that may eventually lead to genetically targeted dietary recommendations in the era of personalized nutrition.
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Affiliation(s)
- Mohammad M H Abdullah
- M.M.H. Abdullah, P.J.H. Jones, and P.K. Eck are with the Department of Human Nutritional Sciences and the Richardson Centre for Functional Foods and Nutraceuticals (RCFFN), University of Manitoba, Winnipeg, Manitoba, Canada. P.J.H. Jones is with the Department of Food Science, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Peter J H Jones
- M.M.H. Abdullah, P.J.H. Jones, and P.K. Eck are with the Department of Human Nutritional Sciences and the Richardson Centre for Functional Foods and Nutraceuticals (RCFFN), University of Manitoba, Winnipeg, Manitoba, Canada. P.J.H. Jones is with the Department of Food Science, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Peter K Eck
- M.M.H. Abdullah, P.J.H. Jones, and P.K. Eck are with the Department of Human Nutritional Sciences and the Richardson Centre for Functional Foods and Nutraceuticals (RCFFN), University of Manitoba, Winnipeg, Manitoba, Canada. P.J.H. Jones is with the Department of Food Science, University of Manitoba, Winnipeg, Manitoba, Canada.
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9
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Gudzune KA, Doshi RS, Mehta AK, Chaudhry ZW, Jacobs DK, Vakil RM, Lee CJ, Bleich SN, Clark JM. Efficacy of commercial weight-loss programs: an updated systematic review. Ann Intern Med 2015; 162:501-12. [PMID: 25844997 PMCID: PMC4446719 DOI: 10.7326/m14-2238] [Citation(s) in RCA: 224] [Impact Index Per Article: 22.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Commercial and proprietary weight-loss programs are popular obesity treatment options, but their efficacy is unclear. PURPOSE To compare weight loss, adherence, and harms of commercial or proprietary weight-loss programs versus control/education (no intervention, printed materials only, health education curriculum, or <3 sessions with a provider) or behavioral counseling among overweight and obese adults. DATA SOURCES MEDLINE and the Cochrane Database of Systematic Reviews from inception to November 2014; references identified by program staff. STUDY SELECTION Randomized, controlled trials (RCTs) of at least 12 weeks' duration; prospective case series of at least 12 months' duration (harms only). DATA EXTRACTION Two reviewers extracted information on study design, population characteristics, interventions, and mean percentage of weight change and assessed risk of bias. DATA SYNTHESIS We included 45 studies, 39 of which were RCTs. At 12 months, Weight Watchers participants achieved at least 2.6% greater weight loss than those assigned to control/education. Jenny Craig resulted in at least 4.9% greater weight loss at 12 months than control/education and counseling. Nutrisystem resulted in at least 3.8% greater weight loss at 3 months than control/education and counseling. Very-low-calorie programs (Health Management Resources, Medifast, and OPTIFAST) resulted in at least 4.0% greater short-term weight loss than counseling, but some attenuation of effect occurred beyond 6 months when reported. Atkins resulted in 0.1% to 2.9% greater weight loss at 12 months than counseling. Results for SlimFast were mixed. We found limited evidence to evaluate adherence or harms for all programs and weight outcomes for other commercial programs. LIMITATION Many trials were short (<12 months), had high attrition, and lacked blinding. CONCLUSION Clinicians could consider referring overweight or obese patients to Weight Watchers or Jenny Craig. Other popular programs, such as Nutrisystem, show promising weight-loss results; however, additional studies evaluating long-term outcomes are needed. PRIMARY FUNDING SOURCE None. ( PROSPERO CRD4201-4007155).
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Affiliation(s)
- Kimberly A. Gudzune
- From Johns Hopkins University School of Medicine; Johns Hopkins Bloomberg School of Public Health; Welch Center for Prevention, Epidemiology, and Clinical Research; Johns Hopkins Bayview Medical Center; and University of Maryland School of Medicine, Baltimore, Maryland, and Rutgers Robert Wood Johnson Medical School, Piscataway, New Jersey
| | - Ruchi S. Doshi
- From Johns Hopkins University School of Medicine; Johns Hopkins Bloomberg School of Public Health; Welch Center for Prevention, Epidemiology, and Clinical Research; Johns Hopkins Bayview Medical Center; and University of Maryland School of Medicine, Baltimore, Maryland, and Rutgers Robert Wood Johnson Medical School, Piscataway, New Jersey
| | - Ambereen K. Mehta
- From Johns Hopkins University School of Medicine; Johns Hopkins Bloomberg School of Public Health; Welch Center for Prevention, Epidemiology, and Clinical Research; Johns Hopkins Bayview Medical Center; and University of Maryland School of Medicine, Baltimore, Maryland, and Rutgers Robert Wood Johnson Medical School, Piscataway, New Jersey
| | - Zoobia W. Chaudhry
- From Johns Hopkins University School of Medicine; Johns Hopkins Bloomberg School of Public Health; Welch Center for Prevention, Epidemiology, and Clinical Research; Johns Hopkins Bayview Medical Center; and University of Maryland School of Medicine, Baltimore, Maryland, and Rutgers Robert Wood Johnson Medical School, Piscataway, New Jersey
| | - David K. Jacobs
- From Johns Hopkins University School of Medicine; Johns Hopkins Bloomberg School of Public Health; Welch Center for Prevention, Epidemiology, and Clinical Research; Johns Hopkins Bayview Medical Center; and University of Maryland School of Medicine, Baltimore, Maryland, and Rutgers Robert Wood Johnson Medical School, Piscataway, New Jersey
| | - Rachit M. Vakil
- From Johns Hopkins University School of Medicine; Johns Hopkins Bloomberg School of Public Health; Welch Center for Prevention, Epidemiology, and Clinical Research; Johns Hopkins Bayview Medical Center; and University of Maryland School of Medicine, Baltimore, Maryland, and Rutgers Robert Wood Johnson Medical School, Piscataway, New Jersey
| | - Clare J. Lee
- From Johns Hopkins University School of Medicine; Johns Hopkins Bloomberg School of Public Health; Welch Center for Prevention, Epidemiology, and Clinical Research; Johns Hopkins Bayview Medical Center; and University of Maryland School of Medicine, Baltimore, Maryland, and Rutgers Robert Wood Johnson Medical School, Piscataway, New Jersey
| | - Sara N. Bleich
- From Johns Hopkins University School of Medicine; Johns Hopkins Bloomberg School of Public Health; Welch Center for Prevention, Epidemiology, and Clinical Research; Johns Hopkins Bayview Medical Center; and University of Maryland School of Medicine, Baltimore, Maryland, and Rutgers Robert Wood Johnson Medical School, Piscataway, New Jersey
| | - Jeanne M. Clark
- From Johns Hopkins University School of Medicine; Johns Hopkins Bloomberg School of Public Health; Welch Center for Prevention, Epidemiology, and Clinical Research; Johns Hopkins Bayview Medical Center; and University of Maryland School of Medicine, Baltimore, Maryland, and Rutgers Robert Wood Johnson Medical School, Piscataway, New Jersey
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10
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Genetic predisposition scores for dyslipidaemia influence plasma lipid concentrations at baseline, but not the changes after controlled intake of n-3 polyunsaturated fatty acids. GENES AND NUTRITION 2014; 9:412. [PMID: 24890013 DOI: 10.1007/s12263-014-0412-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2014] [Accepted: 05/22/2014] [Indexed: 12/29/2022]
Abstract
Inconsistent effects of fish oil supplementation on plasma lipids may be influenced by genetic variation. We investigated 12 single nucleotide polymorphisms (SNPs) associated with dyslipidaemia in genome-wide association studies, in 310 participants randomised to treatment with placebo or 0.45, 0.9 and 1.8 g/day eicosapentaenoic acid (20:5n-3, EPA) and docosahexaenoic acid (22:6n-3, DHA) (1.51:1) in a 12-month parallel controlled trial. Effects of risk alleles were assessed as trait-specific genetic predisposition scores (GPS) and singly. GPS were positively associated with baseline concentrations of plasma total cholesterol, low-density-lipoprotein cholesterol and triglyceride (TG) and negatively with high-density-lipoprotein cholesterol. The TG-GPS was associated with 0.210 mmol/L higher TG per risk allele (P < 0.0001), but no effects of single TG SNPs were significant at baseline. After treatment with EPA and DHA, TG-GPS was associated with 0.023 mmol/L lower TG per risk allele (P = 0.72). No interactions between GPS and treatment were significant; however, FADS1 SNP rs174546 C/T interaction with treatment was a significant determinant of plasma TG concentration (P = 0.047, n = 267). Concentration differed between genotype groups after the 1.8 g/day dose (P = 0.026), decreasing by 3.5 (95 % CI -15.1 to 8.2) % in non-carriers of the risk T-allele (n = 30) and by 21.6 (95 % CI -32.1 to -11.2) % in carriers (n = 37), who showed a highly significant difference between treatments (P = 0.007). Carriers of the FADS1 rs174546 risk allele could benefit from a high intake of EPA and DHA in normalising plasma TG.
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