skip to main content
Visitante
Meu Espaço
Minha Conta
Sair
Identificação
This feature requires javascript
Tags
Revistas Eletrônicas (eJournals)
Livros Eletrônicos (eBooks)
Bases de Dados
Bibliotecas USP
Ajuda
Ajuda
Idioma:
Inglês
Espanhol
Português
This feature required javascript
This feature requires javascript
Primo Search
Busca Geral
Busca Geral
Acervo Físico
Acervo Físico
Produção Intelectual da USP
Produção USP
Search For:
Clear Search Box
Search in:
Busca Geral
Or hit Enter to replace search target
Or select another collection:
Search in:
Busca Geral
Busca Avançada
Busca por Índices
This feature requires javascript
This feature requires javascript
NAFLD in normal weight individuals
DiStefano, Johanna K ; Gerhard, Glenn S
Diabetology and metabolic syndrome, 2022-03, Vol.14 (1), p.45-45, Article 45
[Periódico revisado por pares]
England: BioMed Central Ltd
Texto completo disponível
Citações
Citado por
Exibir Online
Detalhes
Resenhas & Tags
Mais Opções
Nº de Citações
This feature requires javascript
Enviar para
Adicionar ao Meu Espaço
Remover do Meu Espaço
E-mail (máximo 30 registros por vez)
Imprimir
Link permanente
Referência
EasyBib
EndNote
RefWorks
del.icio.us
Exportar RIS
Exportar BibTeX
This feature requires javascript
Título:
NAFLD in normal weight individuals
Autor:
DiStefano, Johanna K
;
Gerhard, Glenn S
Assuntos:
Asian people
;
Biopsy
;
BMI
;
Body mass index
;
Chronic illnesses
;
Cirrhosis
;
Clinical trials
;
Comorbidity
;
Development and progression
;
East Asia
;
Etiology
;
Fatty liver
;
Fibrosis
;
Genetic factors
;
Health aspects
;
Insulin resistance
;
Lean
;
Liver
;
Liver cirrhosis
;
Liver diseases
;
Medical research
;
Medicine, Experimental
;
Menopause
;
Metabolic syndrome
;
Metabolism
;
Morbidity
;
Mortality
;
NAFLD
;
NASH
;
Nonobese
;
Obesity
;
Overweight
;
Prevalence
;
Review
;
Risk assessment
;
Type 2 diabetes
É parte de:
Diabetology and metabolic syndrome, 2022-03, Vol.14 (1), p.45-45, Article 45
Notas:
ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-3
content type line 23
ObjectType-Review-1
Descrição:
Nonalcoholic fatty liver disease (NAFLD) can develop in lean individuals. Despite a better metabolic profile, the risk of disease progression to hepatic inflammation, fibrosis, and decompensated cirrhosis in the lean is similar to that in obesity-related NAFLD and lean individuals may experience more severe hepatic consequences and higher mortality relative to those with a higher body mass index (BMI). In the absence of early symptoms and abnormal laboratory findings, lean individuals are not likely to be screened for NAFLD or related comorbidities; however, given the progressive nature of the disease and the increased risk of morbidity and mortality, a clearer understanding of the natural history of NAFLD in lean individuals, as well as efforts to raise awareness of the potential health risks of NAFLD in lean individuals, are warranted. In this review, we summarize available data on NAFLD prevalence, clinical characteristics, outcomes, and mortality in lean individuals and discuss factors that may contribute to the development of NAFLD in this population, including links between dietary and genetic factors, menopausal status, and ethnicity. We also highlight the need for greater representation of lean individuals in NAFLD-related clinical trials, as well as more studies to better characterize lean NAFLD, develop improved screening algorithms, and determine specific treatment strategies based on underlying etiology.
Editor:
England: BioMed Central Ltd
Idioma:
Inglês
Links
View this record in MEDLINE/PubMed
This feature requires javascript
This feature requires javascript
Voltar para lista de resultados
This feature requires javascript
This feature requires javascript
Buscando em bases de dados remotas. Favor aguardar.
Buscando por
em
scope:(USP_VIDEOS),scope:("PRIMO"),scope:(USP_FISICO),scope:(USP_EREVISTAS),scope:(USP),scope:(USP_EBOOKS),scope:(USP_PRODUCAO),primo_central_multiple_fe
Mostrar o que foi encontrado até o momento
This feature requires javascript
This feature requires javascript