Meal replacement based on Human Ration modulates metabolic risk factors during body weight loss: a randomized controlled trial

Alves, Natália Elizabeth Galdino; Enes, Bárbara Nery; Martino, Hércia Stampini Duarte; Alfenas, Rita de Cássia Gonçalves; Ribeiro, Sônia Machado Rocha

doi:10.1007/s00394-013-0598-3

Cited by 14 publications

(12 citation statements)

References 44 publications

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“…Across the 45 studies, weight loss averaged at six percent from baseline and is similar to results from two previous meta-analyses that showed that meal replacement use resulted in an average weight loss of seven percent to nine percent of body weight, with maximum weight loss attained at six months [2,3]. The weight loss seen can be as low as one percent to as high as 14.8% [40,41] and is dependent on type of analysis, follow-up duration, and subject health status. Use of meal replacements with higher protein content produced higher fat loss while maintaining lean muscle mass [8,35].…”

Section: Weight Loss and Health Outcomessupporting

confidence: 78%

“…In testing the use of meal replacements made with either wholegrain rice or white rice, both groups of meal replacers lost weight but those consuming the wholegrain rice product had higher highdensity lipoprotein cholesterol (HDL-C) and improved antioxidant enzyme activity [46]. The health benefits of dietary fiber and bioactive compounds found in plant based foods was further supported by studies that showed increased HDL-C levels and reduction in two-hour plasma glucose and abdominal obesity from use of meal replacements made from cereals, seeds and grains [38,40]. Commercially available diabetes specific products have been used as meal replacements to provide immediate glycemic control alongside progressive weight loss.…”

Section: Weight Loss and Health Outcomesmentioning

confidence: 99%

“…Dietary advice was individualized to subject's lifestyle [12,17,24,38,39], and included topics such as portion control [12,17,27,63], food exchanges [38,57,60], eating out, and cooking [22,53]. Structure was reinforced with provision of meal plans, recipes, food shopping guides [12,23,34,39,58], and a list of recommended foods to eat [23,40].…”

Section: Frequency Of Healthcare Provider Contactmentioning

confidence: 99%

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Translation of Evidence to Clinical Practice for Use of Meal Replacements in Weight Loss and Obesity-lessons Learned from Research Studies

Lee¹,

Chee²

2016

J Nutr Food Sci

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Meal replacements have been shown to be effective in assisting weight loss in many clinical trials; however, adherence is a major determinant of the reported success. Characterizing how meal replacements were used for weight loss in clinical studies can assist healthcare providers to replicate efficacy and improve adherence to achieve successful weight loss. This narrative review characterizes the treatment conditions that support meal replacements use for weight loss from 45 clinical trials. From these studies, the key treatment conditions that support the successful use of meal replacements include contact with healthcare providers; structured education and counseling sessions; and close monitoring of progress. Weekly contacts with healthcare providers that included a physician with dietitian/ nutritionist team for at least three months were needed in the initial phase of using meal replacements. Education and counseling sessions should be conducted at individual and group level to provide structured diet plans which included healthy eating, exercise plan and incorporation of cognitive/psychological motivation components. Frequent monitoring of progress included weekly to monthly weight monitoring, the use of food and exercise records, and self-monitoring of blood glucose in subjects with diabetes. In conclusion, similar with other lifestyle interventions, intensive follow ups and monitoring are required to ensure the success of using meal replacements for weight loss in everyday clinical practice.

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Section: Weight Loss and Health Outcomessupporting

confidence: 78%

Section: Weight Loss and Health Outcomesmentioning

confidence: 99%

Section: Frequency Of Healthcare Provider Contactmentioning

confidence: 99%

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Translation of Evidence to Clinical Practice for Use of Meal Replacements in Weight Loss and Obesity-lessons Learned from Research Studies

Lee¹,

Chee²

2016

J Nutr Food Sci

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“…Yet, high variability is observed in the capacity to lose and maintain weight (6). Weight loss generally leads to an improvement of glycemic control (4,5), but this corresponds to an average improvement and may not be true for each subject. We demonstrated that among subjects with strong weight loss (.8% of initial body mass), only half of these subjects had sustainable glycemic control improvements (7).…”

Section: Introductionmentioning

confidence: 99%

“…Dietary interventions aim to reduce fat mass, restore normal adipose tissue (AT) function, and improve dysfunctions linked with the metabolic syndrome (4,5). Yet, high variability is observed in the capacity to lose and maintain weight (6).…”

Section: Introductionmentioning

confidence: 99%

Transcriptome profiling from adipose tissue during a low-calorie diet reveals predictors of weight and glycemic outcomes in obese, nondiabetic subjects

Armenise¹,

Lefebvre

Carayol

et al. 2017

The American Journal of Clinical Nutrition

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Background: A low-calorie diet (LCD) reduces fat mass excess, improves insulin sensitivity, and alters adipose tissue (AT) gene expression, yet the relation with clinical outcomes remains unclear. Objective: We evaluated AT transcriptome alterations during an LCD and the association with weight and glycemic outcomes both at LCD termination and 6 mo after the LCD. Design: Using RNA sequencing (RNAseq), we analyzed transcriptome changes in AT from 191 obese, nondiabetic patients within a multicenter, controlled dietary intervention. Expression changes were associated with outcomes after an 8-wk LCD (800-1000 kcal/d) and 6 mo after the LCD. Results were validated by using quantitative reverse transcriptase-polymerase chain reaction in 350 subjects from the same cohort. Statistical models were constructed to classify weight maintainers or glycemic improvers. Results: With RNAseq analyses, we identified 1173 genes that were differentially expressed after the LCD, of which 350 and 33 were associated with changes in body mass index (BMI; in kg/m 2 ) and Matsuda index values, respectively, whereas 29 genes were associated with both endpoints. Pathway analyses highlighted enrichment in lipid and glucose metabolism. Classification models were constructed to identify weight maintainers. A model based on clinical baseline variables could not achieve any classification , and Nestlé Institute of Health Sciences. This is a free access article, distributed under terms (http://www.nutrition.org/publications/ guidelines-and-policies/license/) that permit unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Supplemental Figures 1 and 2 and Supplemental Tables 1-11 are available from the "Online Supporting Material" link in the online posting of the article and from the same link in the online table of contents at http://ajcn. nutrition.org.CA and AV contributed equally to this work. Address correspondence to AV (e-mail: armand.valsesia@rd.nestle.com). Abbreviations used: AT, adipose tissue; CAV2, caveolin 2; C7, complement component 7; ELOVL5, ELOVL fatty acid elongase 5; ENSG, Ensembl gene identifier; eQTL, expression quantitative trait loci; FDR, false discovery rate; GSDMB, gasdermin B; LCD, low-calorie diet; LEP, leptin; LOX, lysyl oxidase; ME1, malic enzyme 1; MTCH2, mitochondrial carrier 2; NPY1R, neuropeptide Y receptor Y1; PCK2, phosphoenolpyruvate carboxykinase 2; PPAP2A, phosphatidic acid phosphatase type 2A; RNAseq, RNA sequencing; ROC, receiver operating characteristic; RSD, relative SD; RT-qPCR, reverse transcription quantitative polymerase chain reaction; SNP, single nucleotide polymorphism; SPARC, secreted protein acidic and cysteine rich; SVF, stromal vascular fraction; T2D, type 2 diabetes.

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Antioxidant Activity of Polyphenols Extracted From Hop Used in Craft Beer

Ruíz-Ruíz

Aldana

Cruz

et al. 2020

Biotechnological Progress and Beverage Consumption

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Meal replacement based on Human Ration modulates metabolic risk factors during body weight loss: a randomized controlled trial

Cited by 14 publications

References 44 publications

Translation of Evidence to Clinical Practice for Use of Meal Replacements in Weight Loss and Obesity-lessons Learned from Research Studies

Translation of Evidence to Clinical Practice for Use of Meal Replacements in Weight Loss and Obesity-lessons Learned from Research Studies

Transcriptome profiling from adipose tissue during a low-calorie diet reveals predictors of weight and glycemic outcomes in obese, nondiabetic subjects

Antioxidant Activity of Polyphenols Extracted From Hop Used in Craft Beer

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