Mingqing Xu

ORCID: 0000-0002-3473-5748
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About
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Research Areas
  • Genetic Associations and Epidemiology
  • RNA modifications and cancer
  • Neurotransmitter Receptor Influence on Behavior
  • Blood Coagulation and Thrombosis Mechanisms
  • Nerve injury and regeneration
  • Autism Spectrum Disorder Research
  • Schizophrenia research and treatment
  • Birth, Development, and Health
  • RNA and protein synthesis mechanisms
  • Signaling Pathways in Disease
  • Folate and B Vitamins Research
  • Tryptophan and brain disorders
  • MicroRNA in disease regulation
  • Renal Transplantation Outcomes and Treatments
  • RNA Research and Splicing
  • Adipose Tissue and Metabolism
  • Liver Disease and Transplantation
  • Vitamin D Research Studies
  • Bioinformatics and Genomic Networks
  • Alzheimer's disease research and treatments
  • Genetics and Neurodevelopmental Disorders
  • Eating Disorders and Behaviors
  • Cardiac Health and Mental Health
  • Receptor Mechanisms and Signaling
  • Antioxidant Activity and Oxidative Stress

Chinese University of Hong Kong
2009-2024

Shanghai Jiao Tong University
2010-2023

Harvard University
2007-2023

South China University of Technology
2023

Center for Systems Biology
2019-2023

Shanghai Children's Medical Center
2022

Shanghai Mental Health Center
2017-2021

Xijing Hospital
2017

Tongren Hospital
2017

Sichuan University
2009-2011

Abstract NONCODE (http://www.noncode.org/) is a comprehensive database of collection and annotation noncoding RNAs, especially long non-coding RNAs (lncRNAs) in animals. NONCODEV6 dedicated to providing the full scope lncRNAs across plants The number has increased from 548 640 644 510 since last update 2017. human 172 216 173 112. mouse 131 697 974. plant 94 697. relationship between cancer were updated with transcriptome sequencing profiles. Three important new features also introduced...

10.1093/nar/gkaa1046 article EN cc-by-nc Nucleic Acids Research 2020-10-22

Abstract Context Iron overload is a known risk factor for type 2 diabetes (T2D); however, iron and deficiency have both been associated with metabolic disorders in observational studies. Objective Using mendelian randomization (MR), we assessed how genetically predicted systemic status affected T2D risk. Methods A 2-sample MR analysis was used to obtain causal estimate. We selected genetic variants strongly (P < 5 × 10−8) 4 biomarkers of from study involving 48 972 individuals...

10.1210/clinem/dgab454 article EN cc-by-nc-nd The Journal of Clinical Endocrinology & Metabolism 2021-06-19

BACKGROUNDMajor depressive disorder (MDD) and posttraumatic stress (PTSD) are highly comorbid exhibit strong correlations with one another. We aimed to investigate mechanisms of underlying relationships between PTSD 3 kinds phenotypes, namely, MDD, depressed affect (DAF), depression (DEP, including both MDD the broad definition depression).METHODSGenetic phenotypes were tested using linkage disequilibrium score regression. Polygenic overlap analysis was used estimate shared trait-specific...

10.1172/jci145942 article EN cc-by Journal of Clinical Investigation 2021-04-27

Abstract Preeclampsia (PE) is a leading cause of maternal mortality worldwide. Several studies have detected some differentially expressed microRNAs in the preeclamptic placenta, but few identified demonstrated consistent findings among different research studies. In this study, high-throughput microRNA sequencing (HTS) 9 and normal placentas was performed. Seventeen were to be up-regulated 8 down-regulated placentas. Eight except one our study determined with at least previous while sixteen...

10.1038/srep19910 article EN cc-by Scientific Reports 2016-01-29

Many population studies have shown that maternal prenatal nutrition deficiency may increase the risk of neurodevelopmental disorders in their offspring, but its potential transcriptomic effects on brain development are not clear. We aimed to investigate transcriptional regulatory interactions between genes particular pathways responding nutritional and explore neurodevelopment related disorders.We identified three modules rat hippocampus found 15 key (Hmgn1, Ssbp1, LOC684988, Rpl23, Gga1,...

10.18632/aging.103150 article EN cc-by Aging 2020-05-11

Background: Aging has often been linked to age-related vascular disorders. The elucidation of the putative genes and pathways underlying aging likely provides useful insights into diseases at advanced ages. Transcriptional regulatory network analysis is key describing genetic interactions between molecular regulators their target gene transcriptionally changed during aging.Results: A total 469 differentially expressed were parsed 6 modules. Among incorporated sample traits, most significant...

10.18632/aging.102275 article EN cc-by Aging 2019-09-12

Abstract Objectives microRNA‐29 (miR‐29) family have shown different expression patterns in cardiovascular diseases. Our study aims to explore the effect and mechanism of miR‐29 on cardiac development. Materials methods A total 13 patients with congenital heart disease (CHD) 7 controls were included our study. Tissues obtained from right ventricular outflow tract (RVOT) after surgical resection or autopsy. The next‐generation sequencing was applied screen microRNA profiles CHD. Quantitative...

10.1111/cpr.12764 article EN Cell Proliferation 2020-02-20

Abstract Background and purpose Previous studies have found ischemic stroke is associated with atrial fibrillation. However, the causal association between fibrillation not clear. Furthermore, network relationship among stroke, its risk factors need further attention. This study aims to examine potential explore mediators in pathway from Methods Summary statistics ISGC (case = 10,307 control 19,326) were used as genetic instruments, AFGen Consortium data 65,446 522,744) for fibrillation,...

10.1186/s10020-019-0133-y article EN cc-by Molecular Medicine 2020-01-15

P-glycoprotein, a product of the ATP-binding cassette B1 (ABCB1) gene, plays an important role in absorption and distribution drugs. The brain entry risperidone 9-OH-risperidone is greatly limited by which implies that functional polymorphisms ABCB1 humans may be factor contributing to variability response risperidone. present study was therefore designed examine whether gene are related therapeutic response. For this purpose, 130 Chinese schizophrenia patients undergoing treatment were...

10.2217/14622416.7.7.987 article EN Pharmacogenomics 2006-10-01

Antipsychotic drugs exert both therapeutic and adverse effects through dopamine D2 receptor (DRD2) antagonism. Genetic variants of this may be responsible for individual variations in neuroleptic response therefore useful predicting response. In study we evaluated the role six polymorphisms DRD2 gene 125 risperidone-treated Chinese schizophrenia patients following hypothesis that variation could affect drug Response was categorized as a change >40% on Brief Psychiatric Rating Scale (BPRS)....

10.1017/s146114570600719x article EN The International Journal of Neuropsychopharmacology 2006-11-14

Alzheimer's disease (AD) is a common neurodegenerative disorder that can destroy the memory of sufferers and lead to distress for individual society. Brain-derived neurotrophic factor (BDNF) butyrylcholinesterase (BCHE) are two genes associated with β-amyloid plaques neurofibrillary tangles key factors in pathophysiology AD. The aim current meta-analysis was evaluate association between BDNF Val66Met (rs6265), C270T (rs2030324) BCHE-K (rs1803274) polymorphisms A comprehensive performed using...

10.3892/etm.2015.2327 article EN Experimental and Therapeutic Medicine 2015-03-03

Brain-derived neurotrophic factor (BDNF) belongs to a family of the neurotrophin, which plays important roles in neurodevelopment dopaminergic-related systems and interacts with meso-limbic dopaminergic involved therapeutic response antipsychotics. Functional experiments have suggested that BDNF may be etiology schizophrenia.In this study, we genotyped two functional polymorphisms gene using sample Han Chinese patients consisting 340 schizophrenic 343 healthy controls. We found statistical...

10.1097/fpc.0b013e3282f85e26 article EN Pharmacogenetics and Genomics 2008-05-04
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