Preliminary exploration of metabolomics mechanisms in patients with patent foramen ovale and migraine.

This study aimed to investigate the metabolic mechanisms underlying the combination of patent foramen ovale (PFO) and migraine by assessing metabolite expression before and after interventional occlusion surgery. The study included 11 PFO patients from the Heart Center of Xinjiang Medical University Affiliated Hospital of Traditional Chinese Medicine, who underwent transcatheter PFO intervention and occlusion surgery between January 2018 and February 2023, and 11 healthy controls. Blood samples were collected pre-surgery, 3 days post-surgery, and 30 days post-surgery for metabolomics analysis.

Bioinformatics identification based on causal association inference using multi-omics reveals the underlying mechanism of Gui-Zhi-Shao-Yao-Zhi-Mu decoction in modulating rheumatoid arthritis.

Object: Rheumatoid arthritis (RA) is a prevalent and currently incurable autoimmune disease. Existing conventional medical treatments are limited in their efficacy, prolonged disease may lead to bone destruction, joint deformity, and loss of related functions, which places a huge burden on RA patients and their families. For millennia, the use of traditional Chinese medicine (TCM), exemplified by the Gui-Zhi-Shao-Yao-Zhi-Mu decoction (GZSYZM), has been demonstrated to offer distinct therapeutic advantages in the management of RA.

Efficacy analysis of intermittent pneumatic compression combined with hyperthermia at different temperatures for prevention of deep vein thrombosis after simulated orthopaedic surgery in male rabbits.

Purpose: This study aimed to determine the optimal combination mode of intermittent pneumatic compression (IPC) when combined with hyperthermia (IPCH) at varying temperatures to prevent lower extremity deep vein thrombosis (DVT) following orthopedic surgery.

Methods: Hemodynamic data from a previous experiment on the physiological state and the IPCH (40°C) group were utilized as the control group. Twenty adult male white rabbits, weighing 2.

Mendelian randomization study supports effect of gut microflora on fractures.

To investigate the possible causal relationship between intestinal microflora and fractures using Mendelian randomization (MR). A 2-sample MR study of gut microbiota and fractures was conducted using a weighted inverse variance analysis with tests for heterogeneity, horizontal pleiotropy, and sensitivity. A causal association between fracture risk and specific bacterial taxa was identified at various taxonomic levels: 2 (Bacteroidia, P = .

The causal relationship between ever smoked and frozen shoulder: A two-sample Mendelian randomization.

To investigate the causal relationship between ever smoked and frozen shoulder using a Mendelian randomization (MR) approach. Pooled data from a large-scale genome-wide association study were used. Genetic loci that were independent of each other and associated with ever smoked and frozen shoulder in populations of European ancestry were selected as instrumental variables.

Causal association of metformin and osteoporosis: A 2-sample Mendelian randomization study.

To investigate the causal relationship between metformin use and osteoporosis and different subtypes of osteoporosis using a 2-sample Mendelian randomization method. Data from genome-wide association studies were analyzed, with the exposure factor being metformin and the outcome variables being osteoporosis and different subtypes. Mendelian randomization was performed using Inverse Variance Weighted (IVW), MR-Egger, and weight median (WM) methods, and heterogeneity tests, horizontal multivariate analyses, and sensitivity analyses were performed.

Complete excision of giant clavicular hydatid cyst: a case report.

Background: Echinococcosis, also known as hydatid disease, is a zoonotic parasitic disease prevalent in pastoral areas, mainly involving the liver and lungs, and less frequently the bones and surrounding soft tissues. Diagnosis and treatment of bone hydatid disease is a challenge, and because of the insidious course of the disease, the lesions are often widely disseminated by the time patients seek medical attention.

Case Presentation: A 29-year-old woman presented with a painless mass that was gradually increasing in size in the cervical thorax.

The efficacy of Da Chaihu decoction combined with metformin tablets for type 2 diabetes mellitus: A systematic review and meta-analysis.

Objective: To assess the efficacy of Da Chaihu decoction combined with metformin tablets on patients with type 2 diabetes compared with metformin alone.

Methods: This systematic review and meta-analysis is written based on 2020 PRISMA Extension for Chinese Herbal Medicines 2020 (PRISMA-CHM 2020) reporting guidelines. We reviewed all the relevant studies from a search of the following databases from inception to February 2022 without any language restriction: Excerpta Medica Database (EMBASE), Google Scholar, PubMed, Cochrane Library, China National Knowledge Infrastructure (CNKI), VIP Information, Wanfang Data, and the Chinese Biomedical Literature Database(CBM).

Genetic variation of six specific SNPs of chronic obstructive pulmonary disease among Chinese population.

Background: Chronic obstructive pulmonary disease (COPD) is a chronic bronchitis (or) emphysema with a high disability and fatality rate. This study aimed to explore the correlation between the six selected single nucleotide polymorphisms (SNPs) and the risk of COPD in the Chinese population.

Methods: The Agena MassARRAY platform was used to select six SNPs from 629 subjects for genotyping.

A Machine Learning Based Framework to Identify and Classify Non-alcoholic Fatty Liver Disease in a Large-Scale Population.

Non-alcoholic fatty liver disease (NAFLD) is a common serious health problem worldwide, which lacks efficient medical treatment. We aimed to develop and validate the machine learning (ML) models which could be used to the accurate screening of large number of people. This paper included 304,145 adults who have joined in the national physical examination and used their questionnaire and physical measurement parameters as model's candidate covariates.

A Noninvasive Prediction Model for Hepatitis B Virus Disease in Patients with HIV: Based on the Population of Jiangsu, China.

Objective: To establish a machine learning model for identifying patients coinfected with hepatitis B virus (HBV) and human immunodeficiency virus (HIV) through two sexual transmission routes in Jiangsu, China.

Methods: A total of 14197 HIV cases transmitted by homosexual and heterosexual routes were recruited. After data processing, 12469 cases (HIV and HBV, 1033; HIV, 11436) were left for further analysis, including 7849 cases with homosexual transmission and 4620 cases with heterosexual transmission.

A Non-Invasive Prediction Model for Non-Alcoholic Fatty Liver Disease in Adults with Type 2 Diabetes Based on the Population of Northern Urumqi, China.

Background: High prevalence of non-alcoholic fatty liver disease (NAFLD) occurs in type 2 diabetes mellitus (T2DM), and about 13% of diabetic patients eventually die of liver cirrhosis or liver cancer. The purpose of our research was to develop a non-invasive predictive model of NAFLD in adults with T2DM.

Patients And Methods: Adult patients diagnosed with T2DM during physical examination in 2018 in Urumqi were recruited, in total 40,921 cases.

Identification of Potential Type II Diabetes in a Large-Scale Chinese Population Using a Systematic Machine Learning Framework.

Background: An estimated 425 million people globally have diabetes, accounting for 12% of the world's health expenditures, and the number continues to grow, placing a huge burden on the healthcare system, especially in those remote, underserved areas.

Methods: A total of 584,168 adult subjects who have participated in the national physical examination were enrolled in this study. The risk factors for type II diabetes mellitus (T2DM) were identified by values and odds ratio, using logistic regression (LR) based on variables of physical measurement and a questionnaire.

A simple nomogram score for screening patients with type 2 diabetes to detect those with hypertension: A cross-sectional study based on a large community survey in China.

Objectives: Compared with unaffected individuals, patients with type 2 diabetes (T2DM) have higher risk of hypertension, and diabetes combined with hypertension can lead to server cardiovascular disease. Therefore, the purpose of this study was to establish a simple nomogram model to identify the determinants of hypertension in patients with T2DM and to quickly calculate the probability of hypertension in individuals with T2DM.

Materials And Methods: A total of 643,439 subjects participating in the national physical examination has been recruited in this cross-sectional study.

miR-485-5p inhibits the progression of breast cancer cells by negatively regulating MUC1.

Objective: To investigate the mechanism of miR-485-5p inhibiting breast cancer cells by targeting MUC1.

Methods: Differentially expressed genes (DEGs) in breast cancer tissues were analyzed using breast cancer tissue microarrays (TMA) in the GEO database. Differential expression of MUC1 in breast cancer tissue samples was detected by TCGA database.