Molecular genetics of human obesity: A comprehensive review

Singh, Rajan Kumar; Kumar, Permendra; Mahalingam, Kulandaivelu

doi:10.1016/j.crvi.2016.11.007

Cited by 188 publications

(186 citation statements)

References 230 publications

Supporting

Mentioning

162

Contrasting

Unclassified

Order By: Relevance

“…Obesity is the result of many factors; therefore, it should be considered as a polygenic disease [15]. Obesity is characterized by many hormonal and metabolic features; however, to date, metabolic differences between obese and thin people cannot be unambiguously determined.…”

Section: Discussionmentioning

confidence: 99%

Mass Spectrometry-Based Metabolomics Analysis of Obese Patients’ Blood Plasma

Lokhov

Balashova

Trifonova

et al. 2020

IJMS

View full text Add to dashboard Cite

Scientists currently use only a small portion of the information contained in the blood metabolome. The identification of metabolites is a huge challenge because only highly abundant and well-separated compounds can be easily identified in complex samples. However, new approaches that enhance the identification of compounds have emerged; among them, the identification of compounds based on their involvement in a particular biological context is a recent development. In this work, this approach was first applied to identify metabolites in complex samples and, together with metabolite set enrichment analysis, was used for the evaluation of blood plasma from obese patients. The proposed approach was found to provide a statistically sound overview of the biochemical pathways, thus presenting additional information on obesity. Obesity progression was demonstrated to be accompanied by marked alterations in steroidogenesis, androstenedione metabolism, and androgen and estrogen metabolism. The findings of this study suggest that the workflow used for blood analysis is sufficient to demonstrate obesity at the biochemical pathway level as well as to monitor the response to treatment. This workflow is also expected to be suitable for studying other metabolic diseases.

show abstract

Section: Discussionmentioning

confidence: 99%

Mass Spectrometry-Based Metabolomics Analysis of Obese Patients’ Blood Plasma

Lokhov

Balashova

Trifonova

et al. 2020

IJMS

View full text Add to dashboard Cite

show abstract

“…In 2007 three independent studies identified FTO as obesity susceptibility gene [8–10]. A number of different obesity-susceptible loci have been reported by the GWAS approach ( MC4R , MC3R , SLC6A14 , TMEM18 , POMC , BDNF , NEGR1 ) [11]. Among these findings, the biggest effect on obesity phenotype till date has the FTO .…”

Section: Introductionmentioning

confidence: 99%

Genetic association of FTO/IRX region with obesity and overweight in the Polish population

Sobalska‐Kwapis

Suchanecka²,

Słomka

et al. 2017

PLoS ONE

View full text Add to dashboard Cite

Background/ObjectivesGenome-wide association studies (GWAS) have identified many loci associated with body mass index (BMI) in many different populations. Variants in the FTO locus are reported to be one of the strongest genetic predictors of obesity. Recent publications pointed also to a topologically associated domain (TAD) which is identified as a novel region affecting BMI. The TAD area encompasses the IRXB cluster (IRX3, IRX5, IRX6), FTO and RPGRIP1L genes.Subjects/MethodsIn this study, we investigated the relationship between variation of the FTO and IRX genes and obesity in Poles. We presented a case—control association analysis (normal versus overweight and/or obesity group) of Polish adult individuals (N = 5418). We determined whether or not the chromosomal region 16:53 500 000–55 500 000 contains polymorphic variants which are correlated with BMI in Polish population, including sex and age stratified analysis.ResultsThe obtained results showed that the problem of weight-height abnormalities differently affects populations of Polish women and men (χ2 = 187.1; p<0.0001). From 353 SNPs enrolled to this study, 86 were statistically significant (highest χ2 = 15.72; p = 7.35E-05 observed for rs1558902). Linkage disequilibrium (LD) analysis revealed 61 blocks in the tested region of chromosome 16, with 24 SNPs located within the same block (block 8) of approximately 40 kb, in almost complete LD (|D’|>0.98, r2>0.80). We confirmed presence of the genetic susceptibility loci located in intron 1 of the FTO gene, which were correlated with BMI in our study group. For the first time, our analyses revealed strong association of FTO intronic variants (block 8) with overweight in group of men only. We have also identified association of the IRX region with overweight and/or obesity in Polish individuals.ConclusionOur study demonstrated how tested SNPs make differential contributions to obesity and overweight risk. We revealed sex dependent differences in the distribution of tested loci which are associated with BMI in the population of Poles.

show abstract

“…Actualmente se ha informado que existen alrededor de 127 sitios en el genoma humano relacionados con el desarrollo de la obesidad a través de los estudios de GWAS. (Singh, Kumar & Mahalingam, 2017) De acuerdo a Singh, la genética de la obesidad se puede dividir en dos grandes grupos. En el primero encontramos todos los Síndromes que se asocian con el desarrollo de obesidad con o sin retraso en el crecimiento, en el segundo la obesidad causada por la mutación de un solo gen o monogénica y la poligénica (Singh, 2017).…”

Section: Factores Genéticosunclassified

“…Las cuales juegan un rol importante comportamiento alimentario regulado por el hipotálamo del sistema nervioso central. (Singh, 2017).…”

Section: Factores Metabólicosunclassified

See 1 more Smart Citation

Obesidad Y Salud, ¿en Realidad Existe El Paciente Obeso Metabólicamente Sano?

Martínez

2017

RESPYN

View full text Add to dashboard Cite

Introducción: La obesidad es una enfermedad crónica y multifactorial, en los últimos años ha alcanzado niveles para considerarse como pandemia. Existe amplia evidencia de la obesidad es un factor de riesgo importante para desarrollar enfermedades cardiovasculares que son la principal causa de muerte a nivel mundial. Sin embargo, se ha descrito que en algunos pacientes con obesidad pareciera se encuentran protegidos a las anormalidades metabólicas ya que no presentan complicaciones anteriormente mencionadas, los cuales se han clasificado como obesos metabólicamente sanos, aunque dicho concepto aun es controversial.. Objetivo: Describir la fisiopatología de la obesidad para analizar el fenotipo del obeso metabólicamente sano por medio de revisión de literatura. Métodos: Estudio con diseño de revisión descriptiva, el material fueron artículos en los que se abordó la descripción de factores fisiopatológicos de la obesidad, la búsqueda se centró en artículos recuperables en las plataformas PubMed (Medline) y Ebsco mediante el uso de los enunciados “Pathophysiology and Obesity” y “Healthy and Obesity”. Resultados: Presentar obesidad representa una situación de riesgo cardiovascular por sí sola, sobre todo la denominada obesidad central al promover el desarrollo de factores de riesgo cardiovascular. El fenotipo metabólicamente sano puede alcanzar hasta el 30% en los pacientes que presentan obesidad lo que en algunos casos puede retardar el inicio del tratamiento nutricional por no contar con complicaciones metabólicas y conforme avance el grado de obesidad o aumente la edad se pueden desarrollar dichas complicaciones. Conclusiones: Se requieren más estudios en donde se evalúen a los participantes de forma longitudinal para conocer la evolución del fenotipo o la respuesta a intervenciones nutricionales y corroborar si el obeso sano sería un estadio inicial hacia la evolución al estado de obesidad patológica.

show abstract

Molecular genetics of human obesity: A comprehensive review

Cited by 188 publications

References 230 publications

Mass Spectrometry-Based Metabolomics Analysis of Obese Patients’ Blood Plasma

Mass Spectrometry-Based Metabolomics Analysis of Obese Patients’ Blood Plasma

Genetic association of FTO/IRX region with obesity and overweight in the Polish population

Obesidad Y Salud, ¿en Realidad Existe El Paciente Obeso Metabólicamente Sano?

Contact Info

Product

Resources

About