Lifestyle Genomics最新文献

{"title":"Guidance and Position of RINN22 regarding Precision Nutrition and Nutriomics.","authors":"Omar Ramos-Lopez, Taís Silveira Assmann, Elcy Yaned Astudillo Muñoz, Luis Baquerizo-Sedano, Elisa Barrón-Cabrera, Claudio Adrián Bernal, Josefina Bressan, Amanda Cuevas-Sierra, Alberto Dávalos, Ulises De la Cruz-Mosso, Ana Laura De la Garza, Daniel A De Luis, Rocío I Díaz de la Garza, Karina Dos Santos, Roxana Carla Fernández-Condori, Alfredo Fernández-Quintela, Diego F Garcia Diaz, Karina Gonzalez-Becerra, Eliane Lopes Rosado, María-Carmen López de Las Hazas, Bertha Araceli Marín Alejandre, Alberto Angel Martin, Erika Martinez-Lopez, Diego Martínez-Urbistondo, Fermin I Milagro, Helen Hermana M Hermsdorff, Begoña Muguerza, Carolina F Nicoletti, Ana Maria Obregón Rivas, Isela Parra-Rojas, Maria Puy Portillo, José L Santos, Thais Steemburgo, Maria Elizabeth Tejero, Anny Cristina Terán, Victor Treviño, Bárbara Vizmanos, J Alfredo Martinez","doi":"10.1159/000542789","DOIUrl":"10.1159/000542789","url":null,"abstract":"<p><strong>Background: </strong>Precision nutrition is based on the integration of individual's phenotypical and biological characteristics including genetic variants, epigenetic marks, gut microbiota profiles, and metabolite fingerprints as well as medical history, lifestyle practices, and environmental and cultural factors. Thus, nutriomics areas including nutrigenomics, nutrigenetics, nutriepigenetics, nutrimetabolomics, and nutrimetagenomics have emerged to comprehensively understand the complex interactions between nutrients, diet, and the human body's molecular processes through precision nutrition.</p><p><strong>Summary: </strong>This document from the Ibero-American Network of Nutriomics and Precision Nutrition (RINN22; <ext-link ext-link-type=\"uri\" xlink:href=\"https://rinn22.com/\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://rinn22.com/</ext-link>) provides a comprehensive overview of the concepts of precision nutrition approaches to guide their application in clinical and public health as well as establish the position of RINN22 regarding the current and future state of precision nutrition.</p><p><strong>Key messages: </strong>The progress and participation of nutriomics to precision nutrition is an essential pillar for addressing diet-related diseases and developing innovative managing strategies, which will be promoted by advances in bioinformatics, machine learning, and integrative software, as well as the description of specific novel biomarkers. In this context, synthesizing and critically evaluating the latest developments, potential applications, and future needs in the field of nutrition is necessary with a holistic perspective, incorporating progress in omics technologies aimed at precision nutrition interventions. This approach must address and confront healthy, social, food security, physically active lifestyle, sanitation, and sustainability challenges with preventive, participatory, and predictive strategies of personalized, population, and planetary nutrition for a precision tailored health.</p>","PeriodicalId":18030,"journal":{"name":"Lifestyle Genomics","volume":" ","pages":"1-19"},"PeriodicalIF":2.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11844698/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142770311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Digital Twins: The Future of Personalized Nutrition and Health?","authors":"Mariëtte Abrahams","doi":"10.1159/000543483","DOIUrl":"10.1159/000543483","url":null,"abstract":"","PeriodicalId":18030,"journal":{"name":"Lifestyle Genomics","volume":" ","pages":"59-63"},"PeriodicalIF":2.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143414558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Pilot Study to Evaluate the Role of Obesity and Genetic Variants in Serum C-Reactive Protein Response to an Acute Fructose Load.","authors":"Sai Sravani Vennam, Valentina Talevi, Geethika Venkataraman, Rayyan Ahmed Syed, Xinruo Zhang, Baba B Mass, Venkata Saroja Voruganti","doi":"10.1159/000544832","DOIUrl":"10.1159/000544832","url":null,"abstract":"<p><strong>Introduction: </strong>Excess fructose intake has been linked to increased risk of dyslipidemia, insulin resistance, hyperuricemia, inflammation, and obesity. In this human study, we investigated if serum C-reactive protein (CRP) concentrations change after fructose consumption, and whether genetic variants and obesity status influence this change.</p><p><strong>Methods: </strong>Blood was drawn before and at four time points after administration of a fructose load (n = 57). Serum concentrations of CRP were measured, and 11 single nucleotides polymorphisms (SNPs) (rs1205, rs1417938, rs1470515, rs3093068, rs6588158, rs16842568, rs2259820, rs157581, rs2794521, rs3093062, rs17700633), previously associated with serum CRP were genotyped and assessed for their association with CRP levels.</p><p><strong>Results: </strong>Participants identifying as White (n = 37) had higher mean CRP levels across all time points compared to those identifying as Black (n = 20). Participants with obesity (body mass index ≥30 kg/m2) (n = 25) were younger and had higher mean CRP levels throughout the study period compared to those without (n = 32). All SNPs were in Hardy-Weinberg equilibrium and their effect allele frequencies ranged between 11 and 96%. Baseline CRP was associated with CRP SNPs rs1417938 and rs2794521 (p < 0.005); rs2794521 was also associated with CRP response to fructose challenge (p < 0.005). The variability in response to fructose and genetic associations was mainly observed in individuals without obesity. Obesity status was associated with early changes in CRP (0-30 min and 30-60 min) whereas CRP SNPs were associated with later changes (60-120 min and 120-180 min).</p><p><strong>Conclusion: </strong>Changes in serum CRP were associated with obesity status or SNPs based on the time elapsed since fructose ingestion. Larger studies are needed to confirm and validate these associations.</p>","PeriodicalId":18030,"journal":{"name":"Lifestyle Genomics","volume":" ","pages":"64-75"},"PeriodicalIF":2.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143523862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Type 2 Diabetes Polygenic Risk Score Interactions with Lifestyle Risk Factors in Black Americans.","authors":"Ashley W Scadden, Aastha Kakar, Elizabeth M Litkowski, Mariah C Meyer, Nicole D Armstrong, Steven Buyske, Yanwei Cai, Iona Cheng, Burcu F Darst, Myriam Fornage, Mariaelisa Graff, Boya Guo, Christopher A Haiman, Heather M Highland, Charles Kooperberg, Loïc Le Marchand, Kari North, Ulrike Peters, Stephen S Rich, Jerome I Rotter, Vinodh Srinivasasainagendra, Hemant K Tiwari, Stephanie Waldrop, Kristin Young, Sridharan Raghavan, Ethan M Lange, Leslie A Lange, Marguerite R Irvin, Maggie A Stanislawski","doi":"10.1159/000546100","DOIUrl":"10.1159/000546100","url":null,"abstract":"<p><strong>Introduction: </strong>Prior work in predominantly European ancestry populations has explained how the risk associated with demographic, lifestyle, and health factors differs with underlying genetic susceptibility to type 2 diabetes (T2D), but less is known about these relationships in Black Americans.</p><p><strong>Methods: </strong>We used covariate-adjusted logistic regression models of T2D to examine interactions between a published trans-ancestry derived T2D polygenic risk score (PRS) and various demographic, lifestyle, and health-related factors among 28,251 self-identified Black Americans from six cohort studies.</p><p><strong>Results: </strong>The results are generally consistent with prior work in White populations. The PRS showed a significant interaction with body mass index, with a greater effect on T2D risk in individuals who were leaner (pinteraction = 0.038).</p><p><strong>Conclusion: </strong>These results contribute to understanding the relationship between genetics and other T2D risk factors in Black Americans who have a high burden of T2D, potentially informing targeted prevention strategies.</p>","PeriodicalId":18030,"journal":{"name":"Lifestyle Genomics","volume":" ","pages":"90-97"},"PeriodicalIF":2.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12235720/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144199465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Erratum.","authors":"","doi":"10.1159/000539272","DOIUrl":"10.1159/000539272","url":null,"abstract":"","PeriodicalId":18030,"journal":{"name":"Lifestyle Genomics","volume":"17 1","pages":"41"},"PeriodicalIF":2.0,"publicationDate":"2024-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141065843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application of gut bacterial profiling information in precision nutrition for obesity and weight loss management","authors":"O. Ramos-López, P. Aranaz, J. Riezu-Boj, F. Milagro","doi":"10.1159/000536156","DOIUrl":"https://doi.org/10.1159/000536156","url":null,"abstract":"Background: It has been suggested that the dysfunction of the gut microbiome can have deleterious effects on the regulation of body weight and adiposity by affecting energy metabolism. In this context, gut bacterial profiling studies have contributed to characterize specific bacteria associated with obesity. This review covers the information driven by gut bacterial profiling analyses and emphasizes the potential application of this knowledge in precision nutrition strategies for obesity understanding and weight loss management.\u0000Summary: Gut bacterial profiling studies have identified bacterial families that are more abundant in obese than in non-obese individuals (i.e. Prevotellaeae, Ruminococcaceae, and Veillonellaceae) as well as other families that have been repeatedly found more abundant in non-obese people (i.e. Christensenellaceae and Coriobacteriaceae), suggesting that an increase in their relative amount could be an interesting target in weight-loss treatments. Also, some gut-derived metabolites have been related to the regulation of body weight, including short chain fatty acids (SCFA), trimethylamine-N-oxide (TMAO), and branched-chain and aromatic amino acids. Moreover, gut microbiota profiles may play a role in determining weight loss responses to specific nutritional treatments for the precise management of obesity. Thus, incorporating gut microbiota features may improve the performance of integrative models to predict weight loss outcomes.\u0000Key Messages: The application of gut bacterial profiling information is of great value for precision nutrition in metabolic diseases, since it contributes to the understanding of the role of the gut microbiota in obesity onset and progression, facilitates the identification of potential microorganism targets, and allows the personalization of tailored weight loss diets as well as the prediction of adiposity outcomes based on the gut bacterial profiling of each individual. Integrating microbiota information with other omics knowledge (genetics, epigenetics, transcriptomics, proteomics, and metabolomics) may provide a more comprehensive understanding of the molecular and physiological events underlying obesity and adiposity outcomes for precision nutrition. \u0000","PeriodicalId":18030,"journal":{"name":"Lifestyle Genomics","volume":"1 12","pages":""},"PeriodicalIF":2.6,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139437913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Molecular Basis of Olfactory Dysfunction in COVID-19 and Long COVID.","authors":"Cleo Anastassopoulou, Nikolaos Davaris, Stefanos Ferous, Nikolaos Siafakas, Fotini Boufidou, Konstantinos Anagnostopoulos, Athanasios Tsakris","doi":"10.1159/000539292","DOIUrl":"10.1159/000539292","url":null,"abstract":"<p><p>Olfactory dysfunction (OD) is not uncommon following viral infection. Herein, we explore the interplay of host genetics with viral correlates in coronavirus disease 2019 (COVID-19)- and long COVID-related OD, and its diagnosis and treatment that remain challenging. Two genes associated with olfaction, UGT2A1 and UGT2A2, appear to be involved in COVID-19-related anosmia, a hallmark symptom of acute infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), particularly in the early stages of the pandemic. SARS-CoV-2 infects olfactory support cells, sustentacular and Bowman gland cells, that surround olfactory sensory neurons (OSNs) in the olfactory epithelium (OE) where the initial step of odor detection takes place. Anosmia primarily arises from the infection of support cells of the OE, followed by the deciliation and disruption of OE integrity, typically without OSN infection. Through the projected axons of OSNs, the virus could theoretically reach the olfactory bulb and brain, but current evidence points against this route. Intriguingly, SARS-CoV-2 infection of support cells leads to profound alterations in the nuclear architecture of OSNs, leading to the downregulation of odorant receptor-related genes, e.g., of Adcy3. Viral factors associated with the development of OD include spike protein aminoacidic changes, e.g., D614G, the first substitution that was selected early during SARS-CoV-2 evolution. More recent variants of the Omicron family are less likely to cause OD compared to Delta or Alpha, although OD has been associated with a milder disease course. OD is one of the most prevalent post-acute neurologic symptoms of SARS-CoV-2 infection. The tens of millions of people worldwide who have lingering problems with OD wait eagerly for effective new treatments that will restore their sense of smell which adds value to their quality of life.</p>","PeriodicalId":18030,"journal":{"name":"Lifestyle Genomics","volume":" ","pages":"42-56"},"PeriodicalIF":2.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140945189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Acute Administration of Calafate (Berberis microphylla) Extract Induces the Expression of Thermogenic Markers and Modulates Gut Microbiota in Mice Fed a High-Fat Chow Diet.","authors":"Lissette Duarte, Vanessa Villanueva, Robert Barroux, Juan Francisco Orellana, Carlos Poblete-Aro, Martin Gotteland, Mauricio Castro, Fabien Magne, Diego F Garcia-Diaz","doi":"10.1159/000539881","DOIUrl":"10.1159/000539881","url":null,"abstract":"<p><strong>Introduction: </strong>Obesity, characterized by excess adipose tissue, is a major public health problem worldwide. Brown adipose tissue (BAT) and beige adipose tissue participate in thermogenesis through uncoupling protein 1 (UCP1). Polyphenols including those from Calafate (a native polyphenol-rich Patagonian berry), are considered as potential anti-obesity compounds due to their pro-thermogenic characteristics. However, polyphenols are mainly metabolized by the gut microbiota (GM) that may influence their bioactivity and bioavailability. The aim of this study was to determine the impact of dietary administration with a Calafate polyphenol-rich extract on thermogenic activity of BAT and beige adipose tissue and GM composition.</p><p><strong>Methods: </strong>Eight-week-old C57BL6 mice (n = 30) were divided into 4 groups to receive for 24 weeks a control diet (C), a high-fat diet alone (HF), or high-fat diet supplemented with Calafate extract (HFC) or the same high-fat diet supplemented with Calafate extract but treated with antibiotics (HFCAB) from week 19-20. Administration with Calafate extract (50 mg/kg per day) was carried out for 3 weeks from week 21-23 in the HFC and HFCAB groups. After euthanasia, gene expression of thermogenic markers was analyzed in BAT and inguinal white adipose tissue (iWAT). Transmission electron microscopy was performed to assess mitochondrial morphology and cristae density in BAT. GM diversity and composition were characterized by deep sequencing with the MiSeq Illumina platform.</p><p><strong>Results: </strong>Calafate extract administration had no effect on weight gain in mice fed a high-fat diet. However, it prevented alterations in mitochondrial cristae induced by HFD and increased Dio2 expression in BAT and iWAT. The intervention also influenced the GM composition, preventing changes in specific bacterial taxa induced by the high-fat diet. However, the antibiotic treatment prevented in part these effects, suggesting the implications of GM.</p><p><strong>Conclusion: </strong>These results suggest that the acute administration of a Calafate extract modulates the expression of thermogenic markers, prevents alterations in mitochondrial cristae and intestinal microbiota in preclinical models. The study highlights the complex interaction between polyphenols, thermogenesis, and the GM, providing valuable insights into their potential roles in the treatment of obesity-related metabolic diseases.</p>","PeriodicalId":18030,"journal":{"name":"Lifestyle Genomics","volume":" ","pages":"72-81"},"PeriodicalIF":2.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141419731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"17th ISNN Congress, 5-7 December 2024, Juhu, Mumbai, India: Precision Nutrition in Nutritional Deficiencies & Optimal Health.","authors":"Louis Pérusse","doi":"10.1159/000542462","DOIUrl":"https://doi.org/10.1159/000542462","url":null,"abstract":"","PeriodicalId":18030,"journal":{"name":"Lifestyle Genomics","volume":"17 1","pages":"136-150"},"PeriodicalIF":2.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142716405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of the rs822393 Variant on Adiponectin Levels and Metabolic Parameters after Weight Loss Secondary to a High-Fat Hypocaloric Diet with Mediterranean Pattern.","authors":"David Primo, Olatz Izaola, Juan Jose Lopez Gomez, Daniel Rico, Daniel A de Luis","doi":"10.1159/000539056","DOIUrl":"10.1159/000539056","url":null,"abstract":"<p><strong>Introduction: </strong>The effects of the rs822393 variant of ADIPOQ gene on metabolic parameters such as insulin resistance and adiponectin levels following weight loss through dietary intervention are still uncertain. The aim of this study was to evaluate the role of rs822393 of ADIPOQ gene on adiponectin levels and metabolic parameters after weight loss with a high-fat hypocaloric diet with Mediterranean pattern during 12 weeks.</p><p><strong>Methods: </strong>A population of 283 patients with obesity was allocated to a dietary intervention trial with a high-fat hypocaloric diet during 12 weeks. Adiposity and biochemical parameters were determined. rs822393 was assessed with a dominant model analysis (CC vs. CT + TT).</p><p><strong>Results: </strong>These patients had three different genotypes: CC (59.0%), CT (33.6%), and TT (7.4%). The allelic frequencies for C and T were 0.89 and 0.20, respectively. Basal and post-intervention HDL cholesterol, adiponectin levels, and adiponectin/leptin ratio were lower in T-allele than non-T-allele carriers. After dietary intervention, BMI, weight, fat mass, waist circumference, systolic blood pressure, insulin, HOMA-IR, leptin, total cholesterol, and LDL cholesterol levels improved significantly in both genotype groups. Moreover, HDL cholesterol (CC vs. CT + TT) (delta: 8.9 ± 1.1 mg/dL vs. 1.7 ± 0.8 mg/dL; p = 0.02), serum adiponectin in non-T-allele carriers (43.1 ± 5.9 ng/dL vs. 2.8 ± 3 0.0 ng/dL; p = 0.01), and adiponectin/leptin ratio (1.37 ± 0.1 units vs. 0.17 ± 0.08 units; p = 0.02) improved only in non-T-allele carriers after weight loss.</p><p><strong>Conclusion: </strong>Individuals with obesity and without the T allele of rs822393 experienced improvements in adiponectin levels, adiponectin/leptin ratio, and HDL cholesterol levels after following a high-fat hypocaloric diet with a Mediterranean pattern.</p>","PeriodicalId":18030,"journal":{"name":"Lifestyle Genomics","volume":" ","pages":"64-71"},"PeriodicalIF":2.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141310993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}