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Szczerbinski L, Florez JC. Precision medicine of obesity as an integral part of type 2 diabetes management - past, present, and future. Lancet Diabetes Endocrinol 2023; 11:861-878. [PMID: 37804854 DOI: 10.1016/s2213-8587(23)00232-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 07/29/2023] [Accepted: 08/01/2023] [Indexed: 10/09/2023]
Abstract
Obesity is a complex and heterogeneous condition that leads to various metabolic complications, including type 2 diabetes. Unfortunately, for some, treatment options to date for obesity are insufficient, with many people not reaching sustained weight loss or having improvements in metabolic health. In this Review, we discuss advances in the genetics of obesity from the past decade-with emphasis on developments from the past 5 years-with a focus on metabolic consequences, and their potential implications for precision management of the disease. We also provide an overview of the potential role of genetics in guiding weight loss strategies. Finally, we propose a vision for the future of precision obesity management that includes developing an obesity-centred multidisease management algorithm that targets both obesity and its comorbidities. However, further collaborative efforts and research are necessary to fully realise its potential and improve metabolic health outcomes.
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Affiliation(s)
- Lukasz Szczerbinski
- Diabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Programs in Metabolism and Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Clinical Research Centre, Medical University of Bialystok, Bialystok, Poland; Department of Endocrinology, Diabetology and Internal Medicine, Medical University of Bialystok, Bialystok, Poland
| | - Jose C Florez
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Programs in Metabolism and Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA.
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Mellado Peña F, Mitchell NS, Leyton Dinamarca B, Kain Berkovic J. The degree of engagement of overweight/obese adult women in the recommended activities of the Chilean "Vida Sana" program is directly correlated with its effectiveness. NUTR HOSP 2021; 38:807-813. [PMID: 33703910 DOI: 10.20960/nh.03461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022] Open
Abstract
INTRODUCTION Introduction: the Chilean Ministry of Health implements the Vida Sana (VS) program with the objective of reducing risk factors for chronic diseases in overweight/obese (OW/OB) individuals, aged 2-64. Objective: to determine the effectiveness of VS in OW/OB women (20-44 yrs) in terms of their engagement in the recommended activities. These consist of participating in a minimum number each of three core activities (psychologist consultations, lifestyle workshops, and physical activity sessions) during 6 months, to obtain a 5 % weight loss and improved physical fitness (PF). Methods: a retrospective study involving secondary analyses of the 2017 VS database (n = 5,179 OW/OB women). We determined effectiveness by: a) comparing changes in weight and PF in participants who achieved one or both outcomes, using t-tests and tests of proportions, and b) assessing the probability of achieving the program´s goal, according to participation in 1, 2, or 3 core activities, individually and jointly, using the OR (95 % CI) and trend analysis. Results: around 32 %, 88 %, and 29 % of women achieved 5 % weight loss, improved PF, and both, respectively. The high percentage of women who improved PF was due to a permissive criterion. Although 20 % of women attained the program´s goal with 0 engagement, among participants, the ORs (95 % CI) for achieving the program´s goal when engaging in 1, 2, or 3 core activities were 1.55 (CI 1.2-2.03), 2.34 (1.76-3.11), and 3.5 (2.21-5.53), respectively. Conclusion: effectiveness parallels degree of engagement in the recommended activities of VS. A characterization of a program´s participation rate is crucial for improving its effectiveness.
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Affiliation(s)
- Fernanda Mellado Peña
- Departamento de Nutrición Pública. Instituto de Nutrición y Tecnología de los Alimentos (INTA). Universidad de Chile
| | - Nia S Mitchell
- Division of General Internal Medicine. Department of Medicine. Duke University School of Medicine
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Arlinghaus KR, O'Connor DP, Ledoux TA, Hughes SO, Johnston CA. The Role of Early and Later Response on Overall Outcomes in School-Based Obesity Intervention. Obesity (Silver Spring) 2021; 29:177-183. [PMID: 33225618 DOI: 10.1002/oby.23040] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Revised: 08/26/2020] [Accepted: 09/03/2020] [Indexed: 01/24/2023]
Abstract
OBJECTIVE Early response to obesity intervention consistently predicts long-term BMI reductions. However, little is known about how changes in weight at other times in an intervention may impact long-term outcomes. This study examined the relationship between weight-related changes that occurred early and later during an intervention and the association between these changes with overall outcomes. METHODS A secondary analysis of a school-based obesity intervention with replicated efficacy among Hispanic middle school students was conducted (n = 174). Linear regression models were developed in which first and second semester changes in BMI represented as a percentage of the 95th BMI percentile (%BMIp95) were separately used to predict overall %BMIp95 outcomes. First semester changes in %BMIp95 were used to predict subsequent %BMIp95 change (i.e., second semester). RESULTS Changes in %BMIp95 during both the first and second semesters were independently associated with overall changes from baseline (e.g., at 24 months: first semester, β = 0.59, P < 0.01; second semester, β = 1.02, P < 0.001). First semester %BMIp95 change was not associated with second semester change (β = -0.07, P = 0.32). CONCLUSIONS Change at any point during the intervention was predictive of overall weight outcomes. Additional research is needed to understand patterns of weight changes throughout interventions to better understand long-term outcomes.
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Affiliation(s)
| | - Daniel P O'Connor
- Department of Health and Human Performance, University of Houston, Houston, Texas, USA
| | - Tracey A Ledoux
- Department of Health and Human Performance, University of Houston, Houston, Texas, USA
| | - Sheryl O Hughes
- Department of Pediatrics, USDA ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, Texas, USA
| | - Craig A Johnston
- Department of Health and Human Performance, University of Houston, Houston, Texas, USA
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Etiology Intervention Link Predicts Resolution of Nutrition Diagnosis: A Nutrition Care Process Outcomes Study from a Veterans' Health Care Facility. J Acad Nutr Diet 2020; 121:1831-1840. [PMID: 32732152 DOI: 10.1016/j.jand.2020.04.015] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Revised: 04/11/2020] [Accepted: 04/14/2020] [Indexed: 11/22/2022]
Abstract
In this article, we evaluate relationships between Nutrition Care Process (NCP) chain links and improvement or resolution of the nutrition diagnosis. We conducted a retrospective record review for 12 months in a single Veterans Health Administration health care system using the Veterans Health Administration-specific monitoring and evaluation terms, NCP terminology, and its etiology categories to evaluate outcomes. Logistic regression analysis revealed that the strongest predictor for diagnosis improvement was the etiology-intervention link. The odds of improving the nutrition diagnosis were 51.43 times higher when the etiology-intervention link was present. The odds of improving the nutrition diagnosis were 19.74 times higher when the evidence-diagnosis link was present and 9.46 times higher when the intervention-goal link was present. For every added nutrition visit by the registered dietitian nutritionist, the odds of improving the nutrition diagnosis increased by 32.5%. For every increased point on the NCP audit score, the odds of resolving or improving the nutrition diagnosis increased by 37.7%. When applying the NCP, the presence of the etiology-intervention link significantly improves the odds of resolving the nutrition diagnosis in a Veterans Health Administration population. For the first time, we show evidence that the NCP works as designed. Also, we demonstrate that the quality of NCP documentation impacts resolution of the diagnosis, and we describe the methodology for how to evaluate NCP outcomes. Registered dietitian nutritionists are encouraged to critically evaluate links of the NCP chain, assess NCP documentation for quality, and pursue follow-up visits to improve resolution of nutrition problems.
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A review of the short- and long-term impact of weight loss on appetite in youth: what do we know and where to from here? Proc Nutr Soc 2020; 79:357-366. [PMID: 32517831 DOI: 10.1017/s0029665120007028] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
This review seeks to synthesise our knowledge about changes in hunger and satiety that occur during diet-induced weight loss and during weight loss maintenance, with a particular focus on youth with obesity. Mechanisms of appetite responses to weight loss rely heavily on the adult literature. Physiological mechanisms that control appetite and satiety via the gut-brain axis have been elucidated but we have an incomplete picture of changes in gut hormones and peptides in youth with obesity. In adolescents, the role of the brain in long-term sensing of body composition and modifying appetite and satiety changes is easily over-ridden by hedonic influences for the reward of highly palatable sweet foods and encourages over-consumption. Accordingly, reward cues and hyper-responsiveness to palatable foods lead to a pattern of food choices. Different reward systems are necessary that are substantial enough to reward the continued individual effort required to sustain new behaviours, that need to be adopted to support a reduced body weight. Periods of growth and development during childhood provide windows of opportunity for interventions to influence body weight trajectory but long-term studies are lacking. More emphasis needs to be placed on anticipatory guidance on how to manage powerful hedonic influences of food choice, essential to cope with living in our obesogenic environment and managing hunger which comes with the stronger desire to eat after weight has been lost.
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Karsten MDA, van Oers AM, Groen H, Mutsaerts MAQ, van Poppel MNM, Geelen A, van de Beek C, Painter RC, Mol BWJ, Roseboom TJ, Hoek A. Determinants of successful lifestyle change during a 6-month preconception lifestyle intervention in women with obesity and infertility. Eur J Nutr 2019; 58:2463-2475. [PMID: 30076459 PMCID: PMC6689274 DOI: 10.1007/s00394-018-1798-7] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2018] [Accepted: 07/26/2018] [Indexed: 01/01/2023]
Abstract
PURPOSE To identify demographic, (bio)physical, behavioral, and psychological determinants of successful lifestyle change and program completion by performing a secondary analysis of the intervention arm of a randomized-controlled trial, investigating a preconception lifestyle intervention. METHODS The 6-month lifestyle intervention consisted of dietary counseling, physical activity, and behavioral modification, and was aimed at 5-10% weight loss. We operationalized successful lifestyle change as successful weight loss (≥ 5% weight/BMI ≤ 29 kg/m2), weight loss in kilograms, a reduction in energy intake, and an increase in physical activity during the intervention program. We performed logistic and mixed-effect regression analyses to identify baseline factors that were associated with successful change or program completion. RESULTS Women with higher external eating behavior scores had higher odds of successful weight loss (OR 1.10, 95% CI 1.05-1.16). Women with the previous dietetic support lost 0.94 kg less during the intervention period (95% CI 0.01-1.87 kg). Women with higher self-efficacy reduced energy intake more than women with lower self-efficacy (p < 0.01). Women with an older partner had an increased energy intake (6 kcal/year older, 95% CI 3-13). A high stage of change towards physical activity was associated with a higher number of daily steps (p = 0.03). A high stage of change towards weight loss was associated with completion of the intervention (p = 0.04). CONCLUSIONS Determinants of lifestyle change and program completion were: higher external eating behavior, not having received previous dietetic support, high stage of change. This knowledge can be used to identify women likely to benefit from lifestyle interventions and develop new interventions for women requiring alternative support. TRIAL REGISTRATION The LIFEstyle study was registered at the Dutch trial registry (NTR 1530; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=1530 ).
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Affiliation(s)
- Matty D A Karsten
- Department of Obstetrics and Gynecology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands.
- Department of Obstetrics and Gynecology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
- Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
| | - Anne M van Oers
- Department of Obstetrics and Gynecology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
- Department of Obstetrics and Gynecology, Medisch Spectrum Twente, Koningsplein 1, 7512 KZ, Enschede, The Netherlands
| | - Henk Groen
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
| | - Meike A Q Mutsaerts
- Department of Obstetrics and Gynecology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
| | - Mireille N M van Poppel
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC, VU University Amsterdam, Van der Boechorststraat 7, 1081 BT, Amsterdam, The Netherlands
- Institute of Sport Science, University of Graz, Mozartgasse 14, 8010, Graz, Austria
| | - Anouk Geelen
- Division of Human Nutrition, Wageningen University and Research, Stippeneng 4, 6708 WE, Wageningen, The Netherlands
| | - Cornelieke van de Beek
- Department of Obstetrics and Gynecology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
| | - Rebecca C Painter
- Department of Obstetrics and Gynecology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
| | - Ben W J Mol
- Department of Obstetrics and Gynecology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
- Department of Obstetrics and Gynecology, School of Medicine, Monash University, Clayton Road, Melbourne, Australia
| | - Tessa J Roseboom
- Department of Obstetrics and Gynecology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
- Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
| | - Annemieke Hoek
- Department of Obstetrics and Gynecology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
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Bomberg EM, Ryder JR, Brundage RC, Straka RJ, Fox CK, Gross AC, Oberle MM, Bramante CT, Sibley SD, Kelly AS. Precision medicine in adult and pediatric obesity: a clinical perspective. Ther Adv Endocrinol Metab 2019; 10:2042018819863022. [PMID: 31384417 PMCID: PMC6661805 DOI: 10.1177/2042018819863022] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2019] [Accepted: 06/19/2019] [Indexed: 12/13/2022] Open
Abstract
It remains largely unknown as to why some individuals experience substantial weight loss with obesity interventions, while others receiving these same interventions do not. Person-specific characteristics likely play a significant role in this heterogeneity in treatment response. The practice of precision medicine accounts for an individual's genes, environment, and lifestyle when deciding upon treatment type and intensity in order to optimize benefit and minimize risk. In this review, we first discuss biopsychosocial determinants of obesity, as understanding the complexity of this disease is necessary for appreciating how difficult it is to develop individualized treatment plans. Next, we present literature on person-specific characteristics associated with, and predictive of, weight loss response to various obesity treatments including lifestyle modification, pharmacotherapy, metabolic and bariatric surgery, and medical devices. Finally, we discuss important gaps in our understanding of the causes of obesity in relation to the suboptimal treatment outcomes in certain patients, and offer solutions that may lead to the development of more effective and targeted obesity therapies.
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Affiliation(s)
- Eric M. Bomberg
- Department of Pediatrics and Center for
Pediatric Obesity Medicine, University of Minnesota, Minneapolis, 717
Delaware Street SE, Room 371, Minneapolis, MN 55414, USA
| | - Justin R. Ryder
- Department of Pediatrics, University of
Minnesota, Minneapolis, MN, USA
- Center for Pediatric Obesity Medicine,
University of Minnesota, Minneapolis, MN, USA
| | - Richard C. Brundage
- Department of Experimental and Clinical
Pharmacology, University of Minnesota, Minneapolis, MN, USA
| | - Robert J. Straka
- Department of Experimental and Clinical
Pharmacology, University of Minnesota, Minneapolis, MN, USA
| | - Claudia K. Fox
- Department of Pediatrics, University of
Minnesota, Minneapolis, MN, USA
- Center for Pediatric Obesity Medicine,
University of Minnesota, Minneapolis, MN, USA
| | - Amy C. Gross
- Department of Pediatrics, University of
Minnesota, Minneapolis, MN, USA
- Center for Pediatric Obesity Medicine,
University of Minnesota, Minneapolis, MN, USA
| | - Megan M. Oberle
- Department of Pediatrics, University of
Minnesota, Minneapolis, MN, USA
- Center for Pediatric Obesity Medicine,
University of Minnesota, Minneapolis, MN, USA
| | - Carolyn T. Bramante
- Department of Pediatrics, University of
Minnesota, Minneapolis, MN, USA
- Center for Pediatric Obesity Medicine,
University of Minnesota, Minneapolis, MN, USA
- Department of Medicine, University of
Minnesota, Minneapolis, MN, USA
| | | | - Aaron S. Kelly
- Department of Pediatrics, University of
Minnesota, Minneapolis, MN, USA
- Center for Pediatric Obesity Medicine,
University of Minnesota, Minneapolis, MN, USA
- Department of Medicine, University of
Minnesota, Minneapolis, MN, USA
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