Globally,type 2 diabetes mellitus(T2DM)is one of the most common metabolic disorders.T2DM physiopathology is influenced by complex interrelationships between genetic,metabolic and lifestyle factors(including diet),whi...Globally,type 2 diabetes mellitus(T2DM)is one of the most common metabolic disorders.T2DM physiopathology is influenced by complex interrelationships between genetic,metabolic and lifestyle factors(including diet),which differ between populations and geographic regions.In fact,excessive consumptions of high fat/high sugar foods generally increase the risk of developing T2DM,whereas habitual intakes of plant-based healthy diets usually exert a protective effect.Moreover,genomic studies have allowed the characterization of sequence DNA variants across the human genome,some of which may affect gene expression and protein functions relevant for glucose homeostasis.This comprehensive literature review covers the impact of gene-diet interactions on T2DM susceptibility and disease progression,some of which have demonstrated a value as biomarkers of personal responses to certain nutritional interventions.Also,novel genotype-based dietary strategies have been developed for improving T2DM control in comparison to general lifestyle recommendations.Furthermore,progresses in other omics areas(epigenomics,metagenomics,proteomics,and metabolomics)are improving current understanding of genetic insights in T2DM clinical outcomes.Although more investigation is still needed,the analysis of the genetic make-up may help to decipher new paradigms in the pathophysiology of T2DM as well as offer further opportunities to personalize the screening,prevention,diagnosis,management,and prognosis of T2DM through precision nutrition.展开更多
Liver cirrhosis(LC) is a chronic illness caused by inflammatory responses and progressive fibrosis. Globally, the most common causes of chronic liver disease include persistent alcohol abuse, followed by viral hepatit...Liver cirrhosis(LC) is a chronic illness caused by inflammatory responses and progressive fibrosis. Globally, the most common causes of chronic liver disease include persistent alcohol abuse, followed by viral hepatitis infections and nonalcoholic fatty liver disease. However, regardless of the etiological factors, the susceptibility and degree of liver damage may be influenced by genetic polymorphisms that are associated with distinct ethnic and cultural backgrounds. Consequently, metabolic genes are influenced by variable environmental lifestyle factors, such as diet, physical inactivity, and emotional stress, which are associated with regional differences among populations. This Topic Highlight will focus on the genetic and environmental factors that may influence the metabolism of alcohol and nutrients in the setting of distinct etiologies of liver disease. The interaction between genes and environment in the current-day admixed population, Mestizo and Native Mexican, will be described. Additionally, genes involved in immune regulation, insulin sensitivity, oxidative stress and extracellular matrix deposition may modulate the degree of severity. In conclusion, LC is a complex disease. The onset, progression, and clinical outcome of LC among the Mexican population are influenced by specific genetic and environmental factors. Among these are an admixed genome with a heterogenic distribution of European, Amerindian and African ancestry; a high score of alcohol consumption; viral infections; a hepatopathogenic diet; and a high prevalence of obesity. The variance in risk factors among populations suggests that intervention strategies directed towards the prevention and management of LC should be tailored according to such population-based features.展开更多
Obesity and nonalcoholic steatohepatitis are increasing in westernized countries, regardless of their geographiclocation. In Latin America, most countries, including Mexico, have a heterogeneous admixture genome with ...Obesity and nonalcoholic steatohepatitis are increasing in westernized countries, regardless of their geographiclocation. In Latin America, most countries, including Mexico, have a heterogeneous admixture genome with Amerindian, European and African ancestries. However, certain high allelic frequencies of several nutrientrelated polymorphisms may have been achieved by past gene-nutrient interactions. Such interactions may have promoted the positive selection of variants adapted to regional food sources. At present, the unbalanced diet composition of the Mexicans has led the country to a 70% prevalence rate of overweightness and obesity due to substantial changes in food habits, among other factors. International guidelines and intervention strategies may not be adequate for all populations worldwide because they do not consider disparities in genetic and environmental factors, and thus there is a need for differential prevention and management strategies. Here, we provide the rationale for an intervention strategy for the prevention and management of obesity-related diseases such as nonalcoholic steatohepatitis based on a regionalized genome-based diet. The components required to design such a diet should focus on the specific ancestry of each population around the world and the convenience of consuming traditional ethnic food.展开更多
AIM To analyze the association of the CD36 polymorphism(rs1761667) with dietary intake and liver fibrosis(LF) in chronic hepatitis C(CHC) patients. METHODS In this study, 73 patients with CHC were recruited. The CD36 ...AIM To analyze the association of the CD36 polymorphism(rs1761667) with dietary intake and liver fibrosis(LF) in chronic hepatitis C(CHC) patients. METHODS In this study, 73 patients with CHC were recruited. The CD36 genotype(G > A) was determined by a TaqM an real-time PCR system. Dietary assessment was carried out using a three-day food record to register the daily intake of macronutrients. Serum lipids and liver enzymes were measured by a dry chemistry assay. LF evaluated by transient elastography(Fibroscan~)and APRI score was classified as mild LF(F1-F2) and advanced LF(F3-F4).RESULTS Overall, the CD36 genotypic frequencies were AA(30.1%), AG(54.8%), and GG(15.1%), whereas the allelic A and G frequencies were 57.5% and 42.5%, respectively. CHC patients who were carriers of the CD36 AA genotype had a higher intake of calories attributable to total fat and saturated fatty acids than those with the non-AA genotypes. Additionally, aspartate aminotransferase(AST) serum values were higher in AA genotype carriers compared to non-AA carriers(91.7 IU/L vs 69.8 IU/L, P = 0.02). Moreover, the AA genotype was associated with an increase of 30.23 IU/L of AST(β = 30.23, 95%CI: 9.0-51.46, P = 0.006). Likewise, the AA genotype was associated with advanced LF compared to the AG(OR = 3.60, 95%CI: 1.16-11.15, P = 0.02) or AG + GG genotypes(OR = 3.52, 95%CI: 1.18-10.45, P = 0.02).CONCLUSION This study suggests that the CD36(rs1761667) AA genotype is associated with higher fat intake and more instances of advanced LF in CHC patients.展开更多
The liver is a key organ involved in a wide range of functions,whose damage can lead to chronic liver disease(CLD).CLD accounts for more than two million deaths worldwide,becoming a social and economic burden for most...The liver is a key organ involved in a wide range of functions,whose damage can lead to chronic liver disease(CLD).CLD accounts for more than two million deaths worldwide,becoming a social and economic burden for most countries.Among the different factors that can cause CLD,alcohol abuse,viruses,drug treatments,and unhealthy dietary patterns top the list.These conditions prompt and perpetuate an inflammatory environment and oxidative stress imbalance that favor the development of hepatic fibrogenesis.High stages of fibrosis can eventually lead to cirrhosis or hepatocellular carcinoma(HCC).Despite the advances achieved in this field,new approaches are needed for the prevention,diagnosis,treatment,and prognosis of CLD.In this context,the scientific community is using machine learning(ML)algorithms to integrate and process vast amounts of data with unprecedented performance.ML techniques allow the integration of anthropometric,genetic,clinical,biochemical,dietary,lifestyle and omics data,giving new insights to tackle CLD and bringing personalized medicine a step closer.This review summarizes the investigations where ML techniques have been applied to study new approaches that could be used in inflammatoryrelated,hepatitis viruses-induced,and coronavirus disease 2019-induced liver damage and enlighten the factors involved in CLD development.展开更多
文摘Globally,type 2 diabetes mellitus(T2DM)is one of the most common metabolic disorders.T2DM physiopathology is influenced by complex interrelationships between genetic,metabolic and lifestyle factors(including diet),which differ between populations and geographic regions.In fact,excessive consumptions of high fat/high sugar foods generally increase the risk of developing T2DM,whereas habitual intakes of plant-based healthy diets usually exert a protective effect.Moreover,genomic studies have allowed the characterization of sequence DNA variants across the human genome,some of which may affect gene expression and protein functions relevant for glucose homeostasis.This comprehensive literature review covers the impact of gene-diet interactions on T2DM susceptibility and disease progression,some of which have demonstrated a value as biomarkers of personal responses to certain nutritional interventions.Also,novel genotype-based dietary strategies have been developed for improving T2DM control in comparison to general lifestyle recommendations.Furthermore,progresses in other omics areas(epigenomics,metagenomics,proteomics,and metabolomics)are improving current understanding of genetic insights in T2DM clinical outcomes.Although more investigation is still needed,the analysis of the genetic make-up may help to decipher new paradigms in the pathophysiology of T2DM as well as offer further opportunities to personalize the screening,prevention,diagnosis,management,and prognosis of T2DM through precision nutrition.
基金Supported by Promep-University of Guadalajara(UDG-CA-478,to Panduro A)
文摘Liver cirrhosis(LC) is a chronic illness caused by inflammatory responses and progressive fibrosis. Globally, the most common causes of chronic liver disease include persistent alcohol abuse, followed by viral hepatitis infections and nonalcoholic fatty liver disease. However, regardless of the etiological factors, the susceptibility and degree of liver damage may be influenced by genetic polymorphisms that are associated with distinct ethnic and cultural backgrounds. Consequently, metabolic genes are influenced by variable environmental lifestyle factors, such as diet, physical inactivity, and emotional stress, which are associated with regional differences among populations. This Topic Highlight will focus on the genetic and environmental factors that may influence the metabolism of alcohol and nutrients in the setting of distinct etiologies of liver disease. The interaction between genes and environment in the current-day admixed population, Mestizo and Native Mexican, will be described. Additionally, genes involved in immune regulation, insulin sensitivity, oxidative stress and extracellular matrix deposition may modulate the degree of severity. In conclusion, LC is a complex disease. The onset, progression, and clinical outcome of LC among the Mexican population are influenced by specific genetic and environmental factors. Among these are an admixed genome with a heterogenic distribution of European, Amerindian and African ancestry; a high score of alcohol consumption; viral infections; a hepatopathogenic diet; and a high prevalence of obesity. The variance in risk factors among populations suggests that intervention strategies directed towards the prevention and management of LC should be tailored according to such population-based features.
文摘Obesity and nonalcoholic steatohepatitis are increasing in westernized countries, regardless of their geographiclocation. In Latin America, most countries, including Mexico, have a heterogeneous admixture genome with Amerindian, European and African ancestries. However, certain high allelic frequencies of several nutrientrelated polymorphisms may have been achieved by past gene-nutrient interactions. Such interactions may have promoted the positive selection of variants adapted to regional food sources. At present, the unbalanced diet composition of the Mexicans has led the country to a 70% prevalence rate of overweightness and obesity due to substantial changes in food habits, among other factors. International guidelines and intervention strategies may not be adequate for all populations worldwide because they do not consider disparities in genetic and environmental factors, and thus there is a need for differential prevention and management strategies. Here, we provide the rationale for an intervention strategy for the prevention and management of obesity-related diseases such as nonalcoholic steatohepatitis based on a regionalized genome-based diet. The components required to design such a diet should focus on the specific ancestry of each population around the world and the convenience of consuming traditional ethnic food.
基金Supported by Promep-University of Guadalajara to Arturo Panduro,No.UDG-CA-478
文摘AIM To analyze the association of the CD36 polymorphism(rs1761667) with dietary intake and liver fibrosis(LF) in chronic hepatitis C(CHC) patients. METHODS In this study, 73 patients with CHC were recruited. The CD36 genotype(G > A) was determined by a TaqM an real-time PCR system. Dietary assessment was carried out using a three-day food record to register the daily intake of macronutrients. Serum lipids and liver enzymes were measured by a dry chemistry assay. LF evaluated by transient elastography(Fibroscan~)and APRI score was classified as mild LF(F1-F2) and advanced LF(F3-F4).RESULTS Overall, the CD36 genotypic frequencies were AA(30.1%), AG(54.8%), and GG(15.1%), whereas the allelic A and G frequencies were 57.5% and 42.5%, respectively. CHC patients who were carriers of the CD36 AA genotype had a higher intake of calories attributable to total fat and saturated fatty acids than those with the non-AA genotypes. Additionally, aspartate aminotransferase(AST) serum values were higher in AA genotype carriers compared to non-AA carriers(91.7 IU/L vs 69.8 IU/L, P = 0.02). Moreover, the AA genotype was associated with an increase of 30.23 IU/L of AST(β = 30.23, 95%CI: 9.0-51.46, P = 0.006). Likewise, the AA genotype was associated with advanced LF compared to the AG(OR = 3.60, 95%CI: 1.16-11.15, P = 0.02) or AG + GG genotypes(OR = 3.52, 95%CI: 1.18-10.45, P = 0.02).CONCLUSION This study suggests that the CD36(rs1761667) AA genotype is associated with higher fat intake and more instances of advanced LF in CHC patients.
基金Supported by the Community of Madrid and the European Union,through the European Regional Development Fund(ERDF)-REACT-EU resources of the Madrid Operational Program 2014-2020,in the action line of R+D+i projects in response to COVID-19,FACINGLCOVID-CM”Synergic R&D Projects in New and Emerging Scientific Areas on the Frontier of Science and Interdisciplinary Nature of The Community of Madrid,METAINFLAMATIONY2020/BIO-6600.
文摘The liver is a key organ involved in a wide range of functions,whose damage can lead to chronic liver disease(CLD).CLD accounts for more than two million deaths worldwide,becoming a social and economic burden for most countries.Among the different factors that can cause CLD,alcohol abuse,viruses,drug treatments,and unhealthy dietary patterns top the list.These conditions prompt and perpetuate an inflammatory environment and oxidative stress imbalance that favor the development of hepatic fibrogenesis.High stages of fibrosis can eventually lead to cirrhosis or hepatocellular carcinoma(HCC).Despite the advances achieved in this field,new approaches are needed for the prevention,diagnosis,treatment,and prognosis of CLD.In this context,the scientific community is using machine learning(ML)algorithms to integrate and process vast amounts of data with unprecedented performance.ML techniques allow the integration of anthropometric,genetic,clinical,biochemical,dietary,lifestyle and omics data,giving new insights to tackle CLD and bringing personalized medicine a step closer.This review summarizes the investigations where ML techniques have been applied to study new approaches that could be used in inflammatoryrelated,hepatitis viruses-induced,and coronavirus disease 2019-induced liver damage and enlighten the factors involved in CLD development.
