Publications by authors named "Fengzhi Ma"
The causal relationship between autoimmune diseases and osteoporosis: a study based on Mendelian randomization.
Front Endocrinol (Lausanne)
September 2023
Objective: The relationship between different autoimmune diseases and bone mineral density (BMD) and fractures has been reported in epidemiological studies. This study aimed to explore the causal relationship between autoimmune diseases and BMD, falls, and fractures using Mendelian randomization (MR).
Methods: The instrumental variables were selected from the aggregated statistical data of these diseases from the largest genome-wide association study in Europe.
Article Synopsis
- - The study aimed to identify different subphenotypes of spinal tuberculosis to enhance precision medicine, revealing two distinct subphenotypes through analysis of clinical data from 422 surgical patients.
- - Patients in the second subphenotype showed more severe disease characteristics, such as higher inflammatory markers and poorer scores on disability and pain assessments, as well as a higher risk of postoperative complications compared to those in the first.
- - The findings suggest that using K-means clustering on readily available clinical data can help clinicians quickly identify these subtypes, potentially leading to more tailored treatment approaches for spinal tuberculosis.
Objective: This article aims at exploring the role of hypoxia-related genes and immune cells in spinal tuberculosis and tuberculosis involving other organs.
Methods: In this study, label-free quantitative proteomics analysis was performed on the intervertebral discs (fibrous cartilaginous tissues) obtained from five spinal tuberculosis (TB) patients. Key proteins associated with hypoxia were identified using molecular complex detection (MCODE), weighted gene co-expression network analysis(WGCNA), least absolute shrinkage and selection operator (LASSO), and support vector machine recursive feature Elimination (SVM-REF) methods, and their diagnostic and predictive values were assessed.
Objective: The study aimed to develop and validate a nomogram model with clinical risk factors and radiomic features for differentiating tuberculous spondylitis (TS) from pyogenic spondylitis (PS).
Methods: A total of 254 patients with TS (n = 141) or PS (n = 113) were randomly divided into training (n = 180) and validation (n = 74) groups. In addition, 43 patients (TS = 22 and PS = 21) were collected to construct a test cohort.
Underutilization of Mental Health Services among American Elders: Two-Dimensional Policy Evaluation Model.
Soc Work Public Health
April 2020
Mental illnesses of American elders have posed serious public health challenges to today's U.S. society.
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