Impact of Regional Collaborative Network on the Rescue of Patients with ST-Elevation Myocardial Infarction First Visit to non-PCI Hospitals.

Objective: To assess the effect of a regional collaborative network on the treatment of ST-elevation myocardial infarction (STEMI) patients first admitted to non- percutaneous coronary intervention (PCI) hospitals.

Methods: Using data from Kunshan Hospital of Traditional Chinese Medicine's chest pain center database, patients were grouped based on the establishment of the regional collaborative rescue network. Key timepoints and in-hospital complications were analyzed.

Folic Acid Protects Against Kidney Damage in Mice with Diabetic Nephropathy by Inhibiting M1 Macrophage Polarization via Nuclear Factor-k-gene Binding Pathway.

Kidney damage is one of the most common complications of diabetes, and inflammation caused by macrophage infiltration plays an important role. Folic acid (FA), a water-soluble vitamin, was previously found to affect inflammation by regulating macrophage polarization. In our study, we aimed to investigate the effect of FA on renal injury in mice with diabetic nephropathy (DN).

MicroRNA‑21 contributes to the puerarin‑induced cardioprotection via suppression of apoptosis and oxidative stress in a cell model of ischemia/reperfusion injury.

Puerarin, a major bioactive constituent of the Radix puerariae, can ameliorate myocardial ischemia/reperfusion (I/R) injury. Emerging evidence supports that microRNA (miR)‑21 functions as a protective factor against I/R and/or hypoxia‑reperfusion (H/R)‑induced myocardial injury. However, the role of miR‑21 in the cardioprotective effect of puerarin remains unclear.

[Effects of environmental factors on the distribution of amphibians in agricultural landscape].

We analyzed the relationship between the distribution of amphibians and the environmental variables at the habitat level and landscape level in Fengqiu County of Henan Province, a typical region of the lower reaches of the Yellow River, with the support of geographic information system (GIS) and R software. At the habitat level, dissolved oxygen (DO), conductivity (COND), turbidity (TURB), NH-N, pond-interior vegetation cover (VEG), emergent vegetation cover (EMER), pond-edge vegetation cover (VEG), benthic fauna predators (PRE), and pond area (AREA) were selected as habitat variables. At the landscape level, total area of ponds (AP), distance to the nearest road (DR), total area of farmlands (AF), total area of woodlands (AW), Shannon’s diversity index (SHDI), and contagion index (CONTAG) were selected as explanatory variables, calculated within a buffer of 250, 500, 1000 and 2000 m around the centroid of each pond.