Xu Shi

ORCID: 0000-0001-8566-9552
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About
Contact & Profiles
Research Areas
  • Advanced Causal Inference Techniques
  • Statistical Methods and Inference
  • Statistical Methods and Bayesian Inference
  • Health Systems, Economic Evaluations, Quality of Life
  • Asthma and respiratory diseases
  • Statistical Methods in Clinical Trials
  • Genetic Associations and Epidemiology
  • Acute Ischemic Stroke Management
  • Metabolomics and Mass Spectrometry Studies
  • Allergic Rhinitis and Sensitization
  • Obstructive Sleep Apnea Research
  • SARS-CoV-2 and COVID-19 Research
  • Cardiovascular Health and Risk Factors
  • Respiratory and Cough-Related Research
  • COVID-19 Clinical Research Studies
  • Neuroscience of respiration and sleep
  • Long-Term Effects of COVID-19
  • Chronic Disease Management Strategies
  • Gene expression and cancer classification
  • Healthcare Policy and Management
  • Health disparities and outcomes
  • COVID-19 and Mental Health
  • Pancreatic and Hepatic Oncology Research
  • Influenza Virus Research Studies
  • Epigenetics and DNA Methylation

University of Michigan
2018-2025

First Affiliated Hospital of Guangzhou Medical University
2014-2025

State Key Laboratory of Respiratory Disease
2014-2025

Guangzhou Medical University
2013-2025

Longgang Central Hospital
2023-2025

Michigan United
2020-2025

Wenzhou Medical University
2024-2025

First Affiliated Hospital of Wenzhou Medical University
2025

Beth Israel Deaconess Medical Center
2023-2024

Harvard University
2018-2024

Brown adipose tissue (BAT) is best known for thermogenesis. Rodent studies demonstrated that enhanced BAT thermogenesis tightly associated with increased energy expenditure, reduced body weight, and improved glucose homeostasis. However, human protective against type 2 diabetes, independent of weight. The mechanism underlying this dissociation remains unclear. Here, we report impaired mitochondrial catabolism branched-chain amino acids (BCAAs) in BAT, by deleting BCAA carriers (MBCs), caused...

10.1016/j.cell.2024.03.030 article EN cc-by Cell 2024-04-22

This report proposes a stepwise process covering the range of considerations to systematically consider key choices for study design and data analysis non-interventional studies with central objective fostering generation reliable reproducible evidence. These steps include (1) formulating well defined causal question via specification target trial protocol; (2) describing emulation each component protocol identifying fit-for-purpose data; (3) assessing expected precision conducting...

10.1136/bmj-2023-076460 article EN BMJ 2024-02-12

Updated knowledge regarding the global prevalence of long COVID (or post-COVID-19 condition), its subtypes, risk factors, and variations across different follow-up durations geographical regions is necessary for informed public health recommendations healthcare delivery. The primary objective this systematic review to evaluate subtypes symptoms in individuals with confirmed COVID-19 diagnosis, while secondary assess factors same population. Studies on published from July 5, 2021, May 29,...

10.1101/2025.01.01.24319384 preprint EN cc-by-nd medRxiv (Cold Spring Harbor Laboratory) 2025-01-06

Polycystic ovary syndrome (PCOS) is a primary endocrine disorder affecting premenopausal women involving metabolic dysregulation. We aimed to screen serum biomarkers in PCOS patients using untargeted lipidomics and ensemble machine learning. Serum from non-PCOS subjects were collected for analysis. Through analyzing the classification of differential lipid metabolites association between clinical indexes, learning, data preprocessing, statistical test pre-screening, learning method secondary...

10.1371/journal.pone.0313494 article EN cc-by PLoS ONE 2025-01-07

Emerging metabolomic tools have created the opportunity to establish metabolic signatures of myocardial injury. We applied a mass spectrometry–based metabolite profiling platform 36 patients undergoing alcohol septal ablation treatment for hypertrophic obstructive cardiomyopathy, human model planned infarction (PMI). Serial blood samples were obtained before and at various intervals after PMI, with elective diagnostic coronary angiography spontaneous (SMI) serving as negative positive...

10.1172/jci35111 article EN Journal of Clinical Investigation 2008-09-08

In contrast to the recommendations for younger adults, many guidelines allow older adults with back pain undergo imaging without waiting 4 6 weeks. However, early may precipitate interventions that do not improve outcomes.To compare function and at 12-month follow-up visit among who received those did receive after a new primary care radiculopathy.Prospective cohort of 5239 patients 65 years or (2011-2013) in 3 US health systems. We matched controls 1:1 using propensity score matching...

10.1001/jama.2015.1871 article EN JAMA 2015-03-17

Abstract Importance As SARS-CoV-2 pervades worldwide, considerable focus has been placed on the longer lasting health effects of virus human host and anticipated healthcare needs. Objective The primary aim this study is to examine prevalence post-acute sequelae COVID-19 (PASC), commonly known as long COVID, across world assess geographic heterogeneities through a systematic review meta-analysis. A second provide estimates for individual symptoms that have reported PASC, based existing...

10.1101/2021.11.15.21266377 preprint EN cc-by medRxiv (Cold Spring Harbor Laboratory) 2021-11-16

Summary Unmeasured confounding is a threat to causal inference in observational studies. In recent years, the use of negative controls mitigate unmeasured has gained increasing recognition and popularity. Negative have long-standing tradition laboratory sciences epidemiology rule out non-causal explanations, although they been used primarily for bias detection. Recently, Miao colleagues described sufficient conditions under which pair control exposure outcome variables can be identify...

10.1111/rssb.12361 article EN Journal of the Royal Statistical Society Series B (Statistical Methodology) 2020-01-22

Abstract Using administrative patient-care data such as Electronic Health Records (EHR) and medical/pharmaceutical claims for population-based scientific research has become increasingly common. With vast sample sizes leading to very small standard errors, researchers need pay more attention potential biases in the estimates of association parameters interest, specifically that do not diminish with increasing size. Of these multiple sources biases, this paper, we focus on understanding...

10.1093/jrsssa/qnae039 article EN Journal of the Royal Statistical Society Series A (Statistics in Society) 2024-05-02

Since the coronavirus disease 2019 (COVID-19) pandemic, value of mRNA vaccine has been widely recognized worldwide. Messenger RNA (mRNA) therapy platform provides a promising alternative to DNA delivery in non-viral gene therapy. Lipid nanoparticles (LNPs), as effective carriers, have highly valued by pharmaceutical industry, and many LNPs entered clinical trials.We developed an ideal lipid nanoformulation, named LNP3, composed 1,2-dioleoyl-3-trimethylammonium-propane (DOTAP),...

10.2147/ijn.s363990 article EN cc-by-nc International Journal of Nanomedicine 2022-07-01

The Comprehensive Score for Financial Toxicity-Functional Assessment of Chronic Illness Therapy (COST-FACIT) is a validated instrument measuring financial distress among people with cancer. reliability and construct validity the 11-item COST-FACIT were examined in adults diabetes high A1C.We factor structure (exploratory analysis), internal consistency (Cronbach α), floor/ceiling effects, known-groups validity, predictive sample 600 A1C.COST-FACIT demonstrated two-factor consistency: general...

10.2337/dc22-0494 article EN Diabetes Care 2022-09-01

The test-negative design (TND) has become a standard approach to evaluate vaccine effectiveness against the risk of acquiring infectious diseases in real-world settings, such as Influenza, Rotavirus, Dengue fever, and more recently COVID-19. In TND study, individuals who experience symptoms seek care are recruited tested for disease which defines cases controls. Despite TND's potential reduce unobserved differences, healthcare seeking behavior (HSB) between vaccinated unvaccinated subjects,...

10.1080/01621459.2023.2220935 article EN cc-by-nc-nd Journal of the American Statistical Association 2023-07-10

Skepticism about the assumption of no unmeasured confounding, also known as exchangeability, is often warranted in making causal inferences from observational data; because exchangeability hinges on an investigator's ability to accurately measure covariates that capture all potential sources confounding. In practice, most one can hope for covariate measurements are at best proxies true underlying confounding mechanism operating a given study. this paper, we consider framework proximal...

10.1080/01621459.2023.2191817 article EN cc-by-nc-nd Journal of the American Statistical Association 2023-03-16

BACKGROUND: Randomized controlled trials demonstrate the efficacy of arginine-enriched nutritional supplements (immunonutrition) in reducing complications after surgery. The effectiveness preoperative immunonutrition has not been evaluated a community setting. OBJECTIVE: This study aims to determine whether before elective colorectal surgery improves outcomes at large. DESIGN: is prospective cohort with propensity score–matched comparative evaluation. SETTINGS: was conducted Washington State...

10.1097/dcr.0000000000000740 article EN Diseases of the Colon & Rectum 2016-12-07

Abstract The widespread testing for severe acute respiratory syndrome coronavirus 2 infection has facilitated the use of test-negative designs (TNDs) modeling disease 2019 (COVID-19) vaccination and outcomes. Despite comprehensive literature on TND, TND in COVID-19 studies is relatively new calls robust design analysis to adapt a rapidly changing dynamically evolving pandemic account changes reporting practices. In this commentary, we aim draw attention researchers COVID-specific challenges...

10.1093/aje/kwac203 article EN American Journal of Epidemiology 2022-11-24

The growing availability of electronic health records (EHR) data opens opportunities for integrative analysis multi-institutional EHR to produce generalizable knowledge. A key barrier such analyses is the lack semantic interoperability across different institutions due coding differences. We propose a Multiview Incomplete Knowledge Graph Integration (MIKGI) algorithm integrate information from multiple sources with partially overlapping concept codes enable translations between healthcare...

10.1016/j.jbi.2022.104147 article EN cc-by Journal of Biomedical Informatics 2022-07-21
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