Single-nucleotide polymorphisms in medical nutritional weight loss: Challenges and future directions

Chen, Moxi; Chen, Wei

doi:10.2478/jtim-2022-0002

Cited by 4 publications

(6 citation statements)

References 27 publications

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“…This has led to the search for genomic markers to predict the ideal type of diet based on individual factors. Personalising the diet through nutrigenomics could be a successful approach to improving weight loss outcomes ( 4 ).…”

Section: Discussionmentioning

confidence: 99%

“…Understanding these genetic factors can help tailor personalised nutrition plans, ultimately leading to more effective weight loss and better overall health outcomes. Among the most significant genes related to diet and weight loss are FTO, MC4R, and PPARγ, which have been implicated in the regulation of appetite ( 4 , 33 ), energy expenditure, and fat metabolism. Studies employing Mendelian randomisation have further strengthened the causal links between these genes, dietary patterns, and obesity risk.…”

Section: Discussionmentioning

confidence: 99%

“…Studies employing Mendelian randomisation have further strengthened the causal links between these genes, dietary patterns, and obesity risk. As our understanding of the complex interplay between genetics and diet continues to grow, nutrigenomic approaches will likely play an increasingly important role in developing effective, personalised weight loss strategies ( 4 , 34 ).…”

Section: Discussionmentioning

confidence: 99%

“…The genomic markers related to the development of obesity are essential in understanding and predicting this condition. Nevertheless, there is also evidence showing that there are loci related to weight loss in response to the treatment of choice (3)(4)(5)(6).…”

Section: Introductionmentioning

confidence: 99%

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Genetic variant panel allows predicting both obesity risk, and efficacy of procedures and diet in weight loss

Mera-Charria,

Nieto-Lopez,

Francès

et al. 2023

Front. Nutr.

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PurposeObesity is a multifactorial condition with a relevant genetic correlation. Recent advances in genomic research have identified several single nucleotide polymorphisms (SNPs) in genes such as FTO, MCM6, HLA, and MC4R, associated with obesity. This study aimed to evaluate the association of 102 SNPs with BMI and weight loss treatment response in a multi-ethnic population.MethodsThe study analyzed 9,372 patients for the correlation between SNPs and BMI (dataset A). The correlation between SNP and weight loss was accessed in 474 patients undergoing different treatments (dataset B). Patients in dataset B were further divided into 3 categories based on the type of intervention: dietary therapy, intragastric balloon procedures, or surgeries. SNP association analysis and multiple models of inheritance were performed.ResultsIn dataset A, ten SNPs, including rs9939609 (FTO), rs4988235 (MCM6), and rs2395182 (HLA), were significantly associated with increased BMI. Additionally, other four SNPs, rs7903146 (TCF7L2), (rs6511720), rs5400 (SLC2A2), and rs7498665 (SH2B1), showed sex-specific correlation. For dataset B, SNPs rs2016520 (PPAR-Delta) and rs2419621 (ACSL5) demonstrated significant correlation with weight loss for all treatment types. In patients who adhered to dietary therapy, SNPs rs6544713 (ABCG8) and rs762551 (CYP1A2) were strongly correlated with weight loss. Patients undergoing surgical or endoscopic procedures exhibited differential correlations with several SNPs, including rs1801725 (CASR) and rs12970134 (MC4R), and weight loss.ConclusionThis study provides valuable insights into the genetic factors influencing BMI and weight loss response to different treatments. The findings highlight the potential for personalized weight management approaches based on individual genetic profiles.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Genetic variant panel allows predicting both obesity risk, and efficacy of procedures and diet in weight loss

Mera-Charria,

Nieto-Lopez,

Francès

et al. 2023

Front. Nutr.

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“…Research to date suggests that limiting daily food intake to a six-to-eight-hour eating window may exhibit health benefits, including protection against certain types of cancers, heart disease, obesity, and hypertension [ 34 ]. The less-than-six-hour window group also demonstrated a drop in fasting glucose that might correlate with circadian rhythmicity in glucose tolerance [ 35 – 39 ].…”

Section: Discussionmentioning

confidence: 99%

Effects of time-restricted eating with different eating windows on human metabolic health: pooled analysis of existing cohorts

Nie,

Xu,

Cheng

et al. 2023

Diabetol Metab Syndr

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Background Time-restricted eating (TRE), a feasible form of intermittent fasting, has been proven to benefit metabolic health in animal models and humans. To our knowledge, specific guidance on the appropriate period for eating during TRE has not yet been promoted. Therefore, to compare and assess the relative effectiveness estimates and rankings of TRE with different eating windows on human metabolic health, we conducted a systematic review and network meta-analysis (NMA). Method PubMed, EMBASE and the Cochrane Library were searched for randomized controlled trials that compared different eating windows on human metabolic health for adults. A Bayesian NMA was used to compare direct and indirect effects to determine the best different eating windows, and scientific evidence using GRADE. Results Twenty-seven RCTs comparing TRE with different eating windows on human metabolic health were reviewed, and all were included in the NMA. Compared with the normal diet group (non-TRE), the TRE group has certain benefits in reducing weight and fasting insulin. In terms of reducing fasting insulin, the 18:6 group (eating time = 6 h) was better than the 14:10 group (eating time = 10 h) and 16:8 group (eating time = 8 h) (P < 0.05); The < 6 group (eating time < 6 h) was better than the 14:10 group (P < 0.05). In terms of reducing fasting glucose, the < 6 group was better than the 14:10 group (P < 0.05). There were no statistical variations in weight, HDL, TG, and LDL across the different modes of TRE (P > 0.05). Conclusions Our research showed that no particular metabolic advantages of various eating windows were found. Therefore, our results suggested that different eating windows could promote similar benefits for metabolic parameters.

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Are weight loss and metabolic outcomes of bariatric surgery influenced by candidate glucocorticoid receptor gene polymorphisms? A prospective study

Iqbal,

Vasan,

Fachim

et al. 2024

Adipocyte

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Single-nucleotide polymorphisms in medical nutritional weight loss: Challenges and future directions

Cited by 4 publications

References 27 publications

Genetic variant panel allows predicting both obesity risk, and efficacy of procedures and diet in weight loss

Genetic variant panel allows predicting both obesity risk, and efficacy of procedures and diet in weight loss

Effects of time-restricted eating with different eating windows on human metabolic health: pooled analysis of existing cohorts

Are weight loss and metabolic outcomes of bariatric surgery influenced by candidate glucocorticoid receptor gene polymorphisms? A prospective study

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