The Impact of Cardiovascular Disease Gene Polymorphism and Interaction with Homocysteine on Deep Vein Thrombosis.

Deep vein thrombosis (DVT) affects vascular health and can even threaten life; however, its pathogenesis remains unclear. Cardiovascular disease (CVD) and DVT share common risk factors, such as dyslipidemia, aging, etc. We aimed to investigate the loci of published CVD susceptibility genes and their association with environmental factors that might be related to DVT.

Prevalence of social frailty and risk factors among community-dwelling older adults: A systematic review and meta-analysis.

Background: Older people are more vulnerable to social frailty due to age, physical condition and socio-economic status. Since social frailty can lead to adverse health outcomes, it is essential to understand the current state of social frailty among community-dwelling older adults.

Aims: To consolidate existing evidence for rates of social frailty and risk factors.

Dynamic Study of Kinetically Trapped Byproducts during DNA Assembly: Case Study on a Pathway-Dependent Assembly.

Despite 40 years of development of DNA nanotechnology, the fundamental knowledge of the process of DNA strand assembly into targeted nanostructures remains unclear. Study of the dynamic process, especially the competing hybridizations in kinetic traps, provides insight into DNA assembly. In this study, a system of middle-domain first assembly (MDFA) was proposed to enable oligonucleotides to assemble into a 2D DNA monolayer in a pathway-dependent approach.

Novel Prediction Method Applied to Wound Age Estimation: Developing a Stacking Ensemble Model to Improve Predictive Performance Based on Multi-mRNA.

(1) Background: Accurate diagnosis of wound age is crucial for investigating violent cases in forensic practice. However, effective biomarkers and forecast methods are lacking. (2) Methods: Samples were collected from rats divided randomly into control and contusion groups at 0, 4, 8, 12, 16, 20, and 24 h post-injury.

Wound age estimation based on next-generation sequencing: Fitting the optimal index system using machine learning.

Accurate estimation of the wound age is critical in investigating intentional injury cases. Establishing objective and reliable biological indicators to estimate wound age is still a significant challenge in forensic medicine. Therefore, exploring an objective, flexible, and reliable index system selection method for wound age estimation based on next-generation sequencing gene expression profiles is necessary.

Identification of Unique 4-Methylmethcathinone (4-MMC) Degradation Markers in Putrefied Matrices†.

Drug degradation as a consequence of putrefactive bacterial activity is a well-known factor that affects the identification and quantitation of certain substances of forensic interest. Current knowledge on putrefaction-mediated degradation of drugs is, however, significantly lacking. This study aimed to investigate the degradation of 4-methylmethcathinone (4-MMC or mephedrone) and to detect its degradation products in putrefied biological matrices containing 4-MMC.

Novel insights into wound age estimation: combined with "up, no change, or down" system and cosine similarity in python environment.

Wound age estimation is a complex, multifactorial issue. It is considered to have great practical significance that combining multi-biomarkers and multi-methods for injury time estimation. We optimized our earlier "up, no change, or down" model by adding data on the expression levels of mRNAs encoding ABHD2, MAD2L2, and ARID5A, and we converted the relative quantitative expression levels of seven genes into a vector rather than a color model.