Pub Date : 2025-01-01Epub Date: 2024-11-30DOI: 10.1159/000542789
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
Background: 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.
Summary: This document from the Ibero-American Network of Nutriomics and Precision Nutrition (RINN22; https://rinn22.com/) 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.
Key messages: 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.
{"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}
Pub Date : 2025-01-01Epub Date: 2025-02-27DOI: 10.1159/000544832
Sai Sravani Vennam, Valentina Talevi, Geethika Venkataraman, Rayyan Ahmed Syed, Xinruo Zhang, Baba B Mass, Venkata Saroja Voruganti
Introduction: 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.
Methods: 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.
Results: 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).
Conclusion: 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.
{"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}
Pub Date : 2025-01-01Epub Date: 2025-02-13DOI: 10.1159/000543483
Mariëtte Abrahams
{"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}
Pub Date : 2025-01-01Epub Date: 2025-05-30DOI: 10.1159/000546100
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
Introduction: 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.
Methods: 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.
Results: 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).
Conclusion: 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.
{"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}
Pub Date : 2025-01-01Epub Date: 2025-09-16DOI: 10.1159/000547940
In the article by Sierra-Ruelas et al. entitled "Uncoupling Proteins Variants Are Linked to Hypercholesterolemia and Abdominal Obesity in Metabolically Unhealthy Women" [Lifestyle Genomics. 2025;18:27-35; https://doi.org/10.1159/000543484], there is an error introduced during production which resulted in the different superscript letters (b, c and d) in Table 1 being changed to the same superscript "a" value.The original article has been updated.
{"title":"Erratum.","authors":"","doi":"10.1159/000547940","DOIUrl":"https://doi.org/10.1159/000547940","url":null,"abstract":"<p><p>In the article by Sierra-Ruelas et al. entitled \"Uncoupling Proteins Variants Are Linked to Hypercholesterolemia and Abdominal Obesity in Metabolically Unhealthy Women\" [Lifestyle Genomics. 2025;18:27-35; https://doi.org/10.1159/000543484], there is an error introduced during production which resulted in the different superscript letters (b, c and d) in Table 1 being changed to the same superscript \"a\" value.The original article has been updated.</p>","PeriodicalId":18030,"journal":{"name":"Lifestyle Genomics","volume":"18 1","pages":"137"},"PeriodicalIF":1.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145912122","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}
O. Ramos-López, P. Aranaz, J. Riezu-Boj, F. Milagro
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. Summary: 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. Key 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.
{"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}
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.
嗅觉功能障碍(OD)在病毒感染后并不少见。在此,我们探讨了宿主遗传学与病毒相关性在冠状病毒病2019(COVID-19)和长COVID相关OD中的相互作用,以及仍然具有挑战性的诊断和治疗。与嗅觉相关的两个基因UGT2A1和UGT2A2似乎与COVID-19相关的嗅觉缺失有关,而嗅觉缺失是严重急性呼吸系统综合征冠状病毒2(SARS-CoV-2)急性感染的标志性症状,尤其是在大流行的早期阶段。SARS-CoV-2 感染了嗅觉上皮细胞(OE)中嗅觉感觉神经元(OSN)周围的嗅觉支持细胞、固着细胞和鲍曼腺细胞,嗅觉神经元在这里进行最初的气味检测。嗅觉失灵主要是由于嗅上皮的支持细胞受到感染,随后嗅上皮的完整性被分解和破坏,通常没有嗅觉神经元受到感染。从理论上讲,病毒可以通过OSN的轴突到达嗅球和大脑,但目前的证据表明这一途径并不可行。耐人寻味的是,SARS-CoV-2 感染支持细胞会导致 OSN 的核结构发生深刻变化,导致气味受体相关基因(如 Adcy3)下调。与 OD 发展相关的病毒因素包括尖峰蛋白氨基酸的变化,如 D614G,这是 SARS-CoV-2 演变早期选择的第一个替代。与德尔塔或阿尔法相比,Omicron 家族的最新变种引起 OD 的可能性较小,尽管 OD 与较轻的病程有关。OD 是感染 SARS-CoV-2 后最常见的急性神经系统症状之一。全世界数以千万计的 OD 患者正翘首以盼有效的新疗法,以恢复他们的嗅觉,提高他们的生活质量。
{"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}
Pub Date : 2024-01-01Epub Date: 2024-06-18DOI: 10.1159/000539881
Lissette Duarte, Vanessa Villanueva, Robert Barroux, Juan Francisco Orellana, Carlos Poblete-Aro, Martin Gotteland, Mauricio Castro, Fabien Magne, Diego F Garcia-Diaz
Introduction: 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.
Methods: 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.
Results: 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.
Conclusion: 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.
简介以脂肪组织过多为特征的肥胖症是全球主要的公共健康问题。棕色(BAT)和米色脂肪组织通过解偶联蛋白 1(UCP1)参与产热。多酚(包括来自卡拉法特(一种富含多酚的巴塔哥尼亚本地浆果)的多酚)因其促发热特性而被认为是潜在的抗肥胖化合物。然而,多酚主要通过肠道微生物群(GM)的结肠微生物群代谢,这可能会影响其生物活性和生物利用率。本研究旨在确定通过饮食摄入富含卡拉法特多酚的提取物对 BAT 和米色脂肪组织的生热活性以及 GM 组成的影响。方法:将 8 周大的 C57BL6 小鼠(n=30)分为 4 组,在第 19 至 20 周内分别接受对照组饮食(C)、单纯高脂饮食(HF)或添加卡拉非特提取物的高脂饮食(HFC)或添加卡拉非特提取物但使用抗生素处理的相同高脂饮食(HFCAB),为期 24 周。从第21周到第23周,在HFC组和HFCAB组中连续3周施用卡拉非特提取物(每天50毫克/千克)。安乐死后,分析了BAT和腹股沟白色脂肪组织(iWAT)中致热标记物的基因表达。透射电子显微镜评估了 BAT 的线粒体形态和嵴密度。利用MiSeq-Illumina平台对基因组多样性和组成进行了深度测序:结果:服用卡拉法提取物对以高脂饮食喂养的小鼠的体重增加没有影响。然而,它能防止高脂饮食诱导的线粒体嵴的改变,并增加 BAT 和 iWAT 中 Dio2 的表达。干预还影响了肠道微生物群的组成,防止了高脂饮食引起的特定细菌类群的变化。然而,抗生素治疗在一定程度上阻止了这些影响,表明了转基因的影响:这些结果表明,在临床前模型中,急性服用 Calafate 提取物可调节生热标志物的表达,防止线粒体嵴和肠道微生物群的改变。这项研究强调了茶多酚、产热和肠道微生物群之间复杂的相互作用,为了解茶多酚在治疗肥胖相关代谢疾病中的潜在作用提供了宝贵的见解。
{"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}