Research Article Details

Article ID: A09612
PMID: 31675274
Source: Metab Syndr Relat Disord
Title: Relevant Features in Nonalcoholic Steatohepatitis Determined Using Machine Learning for Feature Selection.
Abstract: Aim: We investigated the prevalence and the most relevant features of nonalcoholic steatohepatitis (NASH), a stage of nonalcoholic fatty liver disease, (NAFLD) in which the inflammation of hepatocytes can lead to increased cardiovascular risk, liver fibrosis, cirrhosis, and the need for liver transplant. Methods: We analyzed data from 2239 hypertensive patients using descriptive statistics and supervised machine learning algorithms, including the least absolute shrinkage and selection operator and random forest classifier, to select the most relevant features of NASH. Results: The prevalence of NASH among our hypertensive patients was 11.3%. In univariate analyses, it was associated with metabolic syndrome, type 2 diabetes, insulin resistance, and dyslipidemia. Ferritin and serum insulin were the most relevant features in the final model, with a sensitivity of 70%, specificity of 79%, and area under the curve of 0.79. Conclusion: Ferritin and insulin are significant predictors of NASH. Clinicians may use these to better assess cardiovascular risk and provide better management to hypertensive patients with NASH. Machine-learning algorithms may help health care providers make decisions.
DOI: 10.1089/met.2019.0052

Strategy ID Therapy Strategy Synonyms Therapy Targets Therapy Drugs
S01 Improve insulin resistance insulin sensitizer; insulin resistance; glucose tolerance Biguanide: increases 5-AMP activated protein kinase signaling; SGLT-2 inhibitor; Thiazalidinedione: selective PPAR-γ agonists; GLP-1 agonist Metformin; Empagliflozin; Canagliflozin; Rosiglitazone; Pioglitazone; Liraglutide Details
S03 Anti-fibrosis fibrosis Angiotensin Receptor Blocker (ARB); CCR2/CCR5 antagonist; Thyroid receptor β agonist; PEGylated human FGF21 analogue; Monoclonal antibody to lysyl oxidase-like 2 (LOXL2); Galectin-3 inhibitor; FGF19 variant Losartan; Cenicriviroc; VK-2809; MGL-3196; Pegbelfermin; Simtuzumab; GR-MD-02; NGM282 Details

Target ID Target Name GENE Action Class UniProtKB ID Entry Name

Diseases ID DO ID Disease Name Definition Class
I13 3146 Lipid metabolism disorder An inherited metabolic disorder that involves the creation and degradation of lipids. http://en.wikipedia.org/wiki/Lipid_metabolism disease of metabolism/ inherited metabolic disorder Details
I12 10763 Hypertension An artery disease characterized by chronic elevated blood pressure in the arteries. https://en.wikipedia.org/wiki/Hypertension, https://www.ncbi.nlm.nih.gov/pubmed/24352797 disease of anatomical entity/ cardiovascular system disease/vascular disease/ artery disease Details
I05 9352 Type 2 diabetes mellitus A diabetes that is characterized by chronic hyperglycaemia with disturbances of carbohydrate, fat and protein metabolism resulting from defects in insulin secretion, insulin action, or both. A diabetes mellitus that is characterized by high blood sugar, insulin resistance, and relative lack of insulin. http://en.wikipedia.org/wiki/Diabetes, http://en.wikipedia.org/wiki/Diabetes_mellitus_type_2 disease of metabolism/inherited metabolic disorder/ carbohydrate metabolic disorder/glucose metabolism disease/diabetes/ diabetes mellitus Details

Drug ID Drug Name Type DrugBank ID Targets Category Latest Progress
D080 Citrulline Chemical drug DB00155 -- -- Under clinical trials Details
D328 Serine Chemical drug DB00133 SRR Improve insulin resistance Under clinical trials Details
D083 CLA Chemical drug DB01211 KCNH2; SLCO1B1; SLCO1B3 -- Under clinical trials Details
D182 Insulin Biological drug DB00030 INSR agonist; CPE modulator&product of -- Under clinical trials Details