919 Syrup Alleviates Postpartum Depression by Modulating the Structure and Metabolism of Gut Microbes and Affecting the Function of the Hippocampal GABA/Glutamate System.

Postpartum depression (PPD) is a mental disorder that affects pregnant women around the world, with serious consequences for mothers, families, and children. Its pathogenesis remains unclear, and medications for treating PPD that can be used during lactation remain to be identified. 919 syrup (919 TJ) is a Chinese herbal medicine that has been shown to be beneficial in the treatment of postpartum depression in both clinical and experimental studies.

Expression of ghrelin or growth hormone secretagogue receptor in the brain of postpartum stress mice.

Postpartum depression is one of the most common mental diseases that occur in women after childbirth; this disorder is extremely painful for women and represents a major burden on the society. Therefore, we designed this study to explore the possible material basis of the disease, and provide potential novel antidepressants therapy using a mouse model. We established a postpartum immobilization stress model.

919 syrup inhibits ROS-mediated leptin-induced anorexia by activating PPARγ and improves gut flora abnormalities.

Background: Women with postpartum psychiatric disorders are prone to severe anorexia. Clinical studies have revealed the efficacy of 919 syrup, a traditional Chinese medicine mixture against postpartum illnesses, such as in regulating maternal mood and improving postpartum anorexia.

Aim: This study investigated the mechanisms through which 919 syrup improved anorexia induced by postpartum stress, focussing on the combined peroxisome proliferator-activated receptor gamma (PPARγ) and leptin signalling pathway, and its effects on the structure of the gut flora.

[Parameter estimation and verification of DSSAT-CROPGRO-Tomato model under different irrigation levels in greenhouse.].

Based on the greenhouse experiment in Shenyang, the growth, development, and yield formation of tomato under different irrigation levels were simulated by growth model DSSAT-CROPGRO-Tomato. The optimal scheme of parameter estimation and model validation was determined. There were four treatments in this experiment.