Minjun Chen
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View article: DILIrank 2.0: An updated and expanded database for drug-induced liver injury risk based on FDA labeling and a literature review
DILIrank 2.0: An updated and expanded database for drug-induced liver injury risk based on FDA labeling and a literature review Open
Drug-induced liver injury (DILI) is of great concern in drug development and public health. DILIrank 1.0, a widely used public dataset that ranks FDA-approved drugs by their potential to cause DILI, has significantly enabled the developmen…
View article: Artificial Intelligence: An Emerging Tool for Studying Drug‐Induced Liver Injury
Artificial Intelligence: An Emerging Tool for Studying Drug‐Induced Liver Injury Open
Drug‐induced liver injury (DILI) is a complex and potentially severe adverse reaction to drugs, herbal products or dietary supplements. DILI can mimic other liver diseases clinical presentation, and currently lacks specific diagnostic biom…
View article: Identification of Genetic Risk Factors Associated With Herbal and Dietary Supplement–Induced Acute Liver Failure Using Whole Exome Sequencing Analysis
Identification of Genetic Risk Factors Associated With Herbal and Dietary Supplement–Induced Acute Liver Failure Using Whole Exome Sequencing Analysis Open
Background and Aims: Herbal and dietary supplements (HDS) have been associated with liver injury and severe liver disease, including acute liver failure (ALF), collectively referred to as HDS-induced ALF (HDS-ALF). With the global increase…
View article: Construction of a Palliative Care Services Framework for End‐of‐Life Adult Patients at Medical Institutions: A Delphi Study
Construction of a Palliative Care Services Framework for End‐of‐Life Adult Patients at Medical Institutions: A Delphi Study Open
Background: Palliative care focuses on end‐of‐life patients and their family members (caregivers) to control pain and discomfort symptoms in end‐of‐life patients and provides comprehensive physical, psychological, and spiritual care to imp…
View article: Physiological liver microtissue 384-well microplate system for preclinical hepatotoxicity assessment of therapeutic small molecule drugs
Physiological liver microtissue 384-well microplate system for preclinical hepatotoxicity assessment of therapeutic small molecule drugs Open
Hepatotoxicity can lead to the discontinuation of approved or investigational drugs. The evaluation of the potential hepatoxicity of drugs in development is challenging because current models assessing this adverse effect are not always pr…
View article: β-catenin is a potential prognostic biomarker in uterine sarcoma
β-catenin is a potential prognostic biomarker in uterine sarcoma Open
Background: Uterine sarcoma (US) is an extremely rare and aggressive gynecologic malignancy with a poor overall survival (OS). The early screening and diagnosis of uterine sarcoma is still challenging, while efficient prognostic biomarker …
View article: Drug interaction with UDP-Glucuronosyltransferase (UGT) enzymes is a predictor of drug-induced liver injury
Drug interaction with UDP-Glucuronosyltransferase (UGT) enzymes is a predictor of drug-induced liver injury Open
Background and Aims: DILI frequently contributes to the attrition of new drug candidates and is a common cause for the withdrawal of approved drugs from the market. Although some noncytochrome P450 (non-CYP) metabolism enzymes have been im…
View article: Automatic text classification of drug-induced liver injury using document-term matrix and XGBoost
Automatic text classification of drug-induced liver injury using document-term matrix and XGBoost Open
Introduction Regulatory agencies generate a vast amount of textual data in the review process. For example, drug labeling serves as a valuable resource for regulatory agencies, such as U.S. Food and Drug Administration (FDA) and Europe Med…
View article: Machine Learning to Predict Drug-Induced Liver Injury and Its Validation on Failed Drug Candidates in Development
Machine Learning to Predict Drug-Induced Liver Injury and Its Validation on Failed Drug Candidates in Development Open
Drug-induced liver injury (DILI) poses a significant challenge for the pharmaceutical industry and regulatory bodies. Despite extensive toxicological research aimed at mitigating DILI risk, the effectiveness of these techniques in predicti…
View article: Composite Plot for Visualizing Aminotransferase and Bilirubin Changes in Clinical Trials of Subjects with Abnormal Baseline Values
Composite Plot for Visualizing Aminotransferase and Bilirubin Changes in Clinical Trials of Subjects with Abnormal Baseline Values Open
For studies in subjects with abnormal baseline values, the composite plot has potential application in the assessment of beneficial and concerning on-treatment modifications in liver test values in reference to the individual subject's bas…
View article: Machine Learning to Predict Drug-Induced Liver Injury and its Validation on Failed Drug Candidates in Development
Machine Learning to Predict Drug-Induced Liver Injury and its Validation on Failed Drug Candidates in Development Open
Drug-induced liver injury (DILI) remains a significant challenge for the pharmaceutical industry and regulatory organizations. Despite a plethora of toxicological research aimed at estimating the risk of DILI, the efficacy of these techniq…
View article: Computational models for predicting liver toxicity in the deep learning era
Computational models for predicting liver toxicity in the deep learning era Open
Drug-induced liver injury (DILI) is a severe adverse reaction caused by drugs and may result in acute liver failure and even death. Many efforts have centered on mitigating risks associated with potential DILI in humans. Among these, quant…
View article: Comprehensive Analysis of Non-coding RNAs Expression Profile and miRNA- circRNA-gene Co-expression Network in Developing Uterine Carcinosarcoma
Comprehensive Analysis of Non-coding RNAs Expression Profile and miRNA- circRNA-gene Co-expression Network in Developing Uterine Carcinosarcoma Open
Objectives: Uterine carcinosarcoma (UCS), often presenting at the advanced stage, is a rare, aggressive form of uterine cancer. We conduct a prospective cohort study by systematically study whole transcriptome sequencing data of uterine ca…
View article: In silico modeling-based new alternative methods to predict drug and herb-induced liver injury: A review
In silico modeling-based new alternative methods to predict drug and herb-induced liver injury: A review Open
View article: Whole Exome Sequencing Reveals Genetic Variants in HLA Class II Genes Associated With Transplant-free Survival of Indeterminate Acute Liver Failure
Whole Exome Sequencing Reveals Genetic Variants in HLA Class II Genes Associated With Transplant-free Survival of Indeterminate Acute Liver Failure Open
INTRODUCTION: Indeterminate acute liver failure (IND-ALF) is a rare clinical syndrome with a high mortality rate. Lacking a known etiology makes rapid evaluation and treatment difficult, with liver transplantation often considered as the o…
View article: Integrative approaches for studying the role of noncoding RNAs in influencing drug efficacy and toxicity
Integrative approaches for studying the role of noncoding RNAs in influencing drug efficacy and toxicity Open
A streamlined integration of computational prediction and wet-lab validation is important to elucidate mechanisms of ncRNAs in the regulation of DMETs related to drug efficacy and safety. Bioinformatic analyses using open-access tools and …
View article: BERT-Based Natural Language Processing of Drug Labeling Documents: A Case Study for Classifying Drug-Induced Liver Injury Risk
BERT-Based Natural Language Processing of Drug Labeling Documents: A Case Study for Classifying Drug-Induced Liver Injury Risk Open
Background & Aims: The United States Food and Drug Administration (FDA) regulates a broad range of consumer products, which account for about 25% of the United States market. The FDA regulatory activities often involve producing and re…
View article: Machine Learning to Identify Interaction of Single-Nucleotide Polymorphisms as a Risk Factor for Chronic Drug-Induced Liver Injury
Machine Learning to Identify Interaction of Single-Nucleotide Polymorphisms as a Risk Factor for Chronic Drug-Induced Liver Injury Open
Drug-induced liver injury (DILI) is a major cause of drug development failure and drug withdrawal from the market after approval. The identification of human risk factors associated with susceptibility to DILI is of paramount importance. I…
View article: Machine Learning for Predicting Risk of Drug-Induced Autoimmune Diseases by Structural Alerts and Daily Dose
Machine Learning for Predicting Risk of Drug-Induced Autoimmune Diseases by Structural Alerts and Daily Dose Open
An effective approach for assessing a drug’s potential to induce autoimmune diseases (ADs) is needed in drug development. Here, we aim to develop a workflow to examine the association between structural alerts and drugs-induced ADs to impr…
View article: Elevated bilirubin, alkaline phosphatase at onset, and drug metabolism are associated with prolonged recovery from DILI
Elevated bilirubin, alkaline phosphatase at onset, and drug metabolism are associated with prolonged recovery from DILI Open
In this study, we investigated whether drug properties and clinical factors are associated with the time it takes to recover from drug-induced liver injury (DILI). We found that total bilirubin, alkaline phosphatase level at DILI onset, ti…
View article: Performance of preclinical models in predicting drug-induced liver injury in humans: a systematic review
Performance of preclinical models in predicting drug-induced liver injury in humans: a systematic review Open
View article: Drug properties and host factors contribute to biochemical presentation of drug-induced liver injury: a prediction model from a machine learning approach
Drug properties and host factors contribute to biochemical presentation of drug-induced liver injury: a prediction model from a machine learning approach Open
View article: Cancer genomics predicts disease relapse and therapeutic response to neoadjuvant chemotherapy of hormone sensitive breast cancers
Cancer genomics predicts disease relapse and therapeutic response to neoadjuvant chemotherapy of hormone sensitive breast cancers Open
Several studies provide insight into the landscape of breast cancer genomics with the genomic characterization of tumors offering exceptional opportunities in defining therapies tailored to the patient’s specific need. However, translating…
View article: Editorial: Deep Learning for Toxicity and Disease Prediction
Editorial: Deep Learning for Toxicity and Disease Prediction Open
EDITORIAL article Front. Genet., 26 February 2020 | https://doi.org/10.3389/fgene.2020.00175
View article: MicroRNA-138 negatively regulates the hypoxia-inducible factor 1α to suppress melanoma growth and metastasis
MicroRNA-138 negatively regulates the hypoxia-inducible factor 1α to suppress melanoma growth and metastasis Open
Melanoma with rapid progression towards metastasis has become the deadliest form of skin cancer. However, the mechanism of melanoma growth and metastasis is still unclear. Here, we found that miRNA-138 was lowly expressed and hypoxia-induc…
View article: MicroRNA-138 negatively regulates the hypoxia-inducible factor 1α to suppress melanoma growth and metastasis
MicroRNA-138 negatively regulates the hypoxia-inducible factor 1α to suppress melanoma growth and metastasis Open
Melanoma with rapid progression towards metastasis becomes the deadliest form of skin cancer. However, the mechanism of melanoma growth and metastasis is still unclear. Here, we found that miRNA-138 was low expression and hypoxia-inducible…
View article: The Development of a Database for Herbal and Dietary Supplement Induced Liver Toxicity
The Development of a Database for Herbal and Dietary Supplement Induced Liver Toxicity Open
The growing use of herbal dietary supplements (HDS) in the United States provides compelling evidence for risk of herbal-induced liver injury (HILI). Information on HDS products was retrieved from MedlinePlus of the U.S. National Library o…
View article: Review article: therapeutic bile acids and the risks for hepatotoxicity
Review article: therapeutic bile acids and the risks for hepatotoxicity Open
Summary Background Bile acids play important roles in cholesterol metabolism and signal through farnesoid X receptor and G protein‐coupled receptors. Given their importance in liver biology, bile acid therapy enables therapeutic applicatio…
View article: Long non-coding RNA MT1DP shunts the cellular defense to cytotoxicity through crosstalk with MT1H and RhoC in cadmium stress
Long non-coding RNA MT1DP shunts the cellular defense to cytotoxicity through crosstalk with MT1H and RhoC in cadmium stress Open
View article: Development of Decision Forest Models for Prediction of Drug-Induced Liver Injury in Humans Using A Large Set of FDA-approved Drugs
Development of Decision Forest Models for Prediction of Drug-Induced Liver Injury in Humans Using A Large Set of FDA-approved Drugs Open