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An novel effective and safe model for the diagnosis of nonalcoholic fatty liver disease in China: gene excavations, clinical validations, and mechanism elucidation.
Wang, Jida; Jia, Beitian; Miao, Jing; Li, Dun; Wang, Yin; Han, Lu; Yuan, Yin; Zhang, Yuan; Wang, Yiyang; Guo, Liying; Jia, Jianwei; Zheng, Fang; Lai, Sizhen; Niu, Kaijun; Li, Weidong; Bian, Yuhong; Wang, Yaogang.
Afiliação
  • Wang J; School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, People's Republic of China.
  • Jia B; School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, People's Republic of China.
  • Miao J; School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, People's Republic of China.
  • Li D; School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, People's Republic of China.
  • Wang Y; School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, People's Republic of China.
  • Han L; School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, People's Republic of China.
  • Yuan Y; School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, People's Republic of China.
  • Zhang Y; School of Public Health, Tianjin Medical University, Tianjin, 300070, China.
  • Wang Y; School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, People's Republic of China.
  • Guo L; Tianjin Second People's Hospital, Department of Integrated Traditional Chinese and Western Medicine, Tianjin, 300192, People's Republic of China.
  • Jia J; Tianjin Second People's Hospital, Department of Integrated Traditional Chinese and Western Medicine, Tianjin, 300192, People's Republic of China.
  • Zheng F; School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, People's Republic of China.
  • Lai S; School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, People's Republic of China.
  • Niu K; Public Health Science and Engineering College, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
  • Li W; Department of General Surgery, Tianjin Medical University General Hospital, Tianjin, 300052, China.
  • Bian Y; School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, People's Republic of China. Bianyuhong_2012@163.com.
  • Wang Y; School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, People's Republic of China. YaogangWANG@tmu.edu.cn.
J Transl Med ; 22(1): 624, 2024 Jul 04.
Article em En | MEDLINE | ID: mdl-38965537
ABSTRACT

BACKGROUND:

Non-alcoholic fatty liver disease (NAFLD) is one of the most common chronic liver diseases. NAFLD leads to liver fibrosis and hepatocellular carcinoma, and it also has systemic effects associated with metabolic diseases, cardiovascular diseases, chronic kidney disease, and malignant tumors. Therefore, it is important to diagnose NAFLD early to prevent these adverse effects.

METHODS:

The GSE89632 dataset was downloaded from the Gene Expression Omnibus database, and then the optimal genes were screened from the data cohort using lasso and Support Vector Machine Recursive Feature Elimination (SVM-RFE). The ROC values of the optimal genes for the diagnosis of NAFLD were calculated. The relationship between optimal genes and immune cells was determined using the DECONVOLUTION algorithm CIBERSORT. Finally, the specificity and sensitivity of the diagnostic genes were verified by detecting the expression of the diagnostic genes in blood samples from 320 NAFLD patients and liver samples from 12 mice.

RESULTS:

Through machine learning we identified FOSB, GPAT3, RGCC and RNF43 were the key diagnostic genes for NAFLD, and they were further demonstrated by a receiver operating characteristic curve analysis. We found that the combined diagnosis of the four genes identified NAFLD samples well from normal samples (AUC = 0.997). FOSB, GPAT3, RGCC and RNF43 were strongly associated with immune cell infiltration. We also experimentally examined the expression of these genes in NAFLD patients and NAFLD mice, and the results showed that these genes are highly specific and sensitive.

CONCLUSIONS:

Data from both clinical and animal studies demonstrate the high sensitivity, specificity and safety of FOSB, GPAT3, RGCC and RNF43 for the diagnosis of NAFLD. The relationship between diagnostic key genes and immune cell infiltration may help to understand the development of NAFLD. The study was reviewed and approved by Ethics Committee of Tianjin Second People's Hospital in 2021 (ChiCTR1900024415).
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Hepatopatia Gordurosa não Alcoólica Limite: Animals / Humans / Male País/Região como assunto: Asia Idioma: En Revista: J Transl Med Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Hepatopatia Gordurosa não Alcoólica Limite: Animals / Humans / Male País/Região como assunto: Asia Idioma: En Revista: J Transl Med Ano de publicação: 2024 Tipo de documento: Article