Ginsenoside Rb1 alleviates lipopolysaccharide-induced inflammation in human dental pulp cells via the PI3K/Akt, NF-κB, and MAPK signalling pathways.

Aim: Among numerous constituents of Panax ginseng, a constituent named Ginsenoside Rb1 (G-Rb1) has been studied to diminish inflammation associated with diseases. This study investigated the anti-inflammatory properties of G-Rb1 on human dental pulp cells (hDPCs) exposed to lipopolysaccharide (LPS) and aimed to determine the underlying molecular mechanisms.

Methodology: The KEGG pathway analysis was performed after RNA sequencing in G-Rb1- and LPS-treated hDPCs.

Review of endocrine disruptors on male and female reproductive systems.

Endocrine disruptors (EDs) interfere with different hormonal and metabolic processes and disrupt the development of organs and tissues, as well as the reproductive system. In toxicology research, various animal models have been utilized to compare and characterize the effects of EDs. We reviewed studies assessing the effect of ED exposure in humans, zebrafish, and mouse models and the adverse effects of EDs on male and female reproductive systems.

Multiple toxicity of propineb in developing zebrafish embryos: Neurotoxicity, vascular toxicity, and notochord defects in normal vertebrate development.

A dithiocarbamate (DTC) fungicide, propineb, affects thyroid function and exerts immunotoxicity, cytotoxicity, and neurotoxicity in humans. Long-term exposure to propineb is associated with carcinogenicity, teratogenicity, malfunction of the reproductive system, and abnormalities in vital signs during organ development. However, there is no evidence of acute toxicity attributable to propineb in zebrafish.

Transkingdom interactions between Lactobacilli and hepatic mitochondria attenuate western diet-induced diabetes.

Western diet (WD) is one of the major culprits of metabolic disease including type 2 diabetes (T2D) with gut microbiota playing an important role in modulating effects of the diet. Herein, we use a data-driven approach (Transkingdom Network analysis) to model host-microbiome interactions under WD to infer which members of microbiota contribute to the altered host metabolism. Interrogation of this network pointed to taxa with potential beneficial or harmful effects on host's metabolism.