BMP7 Attenuates Neuroinflammation after Spinal Cord Injury by Suppressing the Microglia Activation and Inducing Microglial Polarization Via the STAT3 Pathway.

Excessive activation of pro-inflammatory (M1) microglia phenotypes after spinal cord injury (SCI) disrupts tissue repair and increases the risk of secondary SCI. We previously reported that adeno-associated virus (AAV) mediated delivery of bone morphogenetic protein 7 (BMP7) promotes functional recovery after SCI by reducing oligodendrocyte loss and demyelination; however, little is known about the early effects of BMP7 in ameliorating neuroinflammation in the acute SCI phase. Herein, we demonstrate that treatment with recombinant human BMP7 (rhBMP7) suppresses the viability of LPS-induced HMC3 microglia cells and increases the proportion with the M2 phenotype. Consistently, in a rat SCI model, rhBMP7 decreases the activation of microglia and promotes M2 polarization. After rhBMP7 administration, the STAT3 signaling pathway was activated in LPS-induced HMC3 cells and microglia in spinal cord lesions. Furthermore, the levels of TNF-α and IL-1ß were significantly decreased in cell culture supernatants, lesion sites of injured spinal cords, and cerebrospinal fluid circulation after rhBMP7 administration, thus reducing neuron loss in the injured spinal cord and promoting functional recovery after SCI. These results provide insight into the immediate early mechanisms by which BMP7 may ameliorate the inflammation response to secondary SCI.

Effect of autologous platelet-rich plasma on patients with acute type A aortic dissection underwent aortic arch replacement: A retrospective cohort study.

BACKGROUND: Coagulopathy and massive bleeding are common complications of patients with Stanford type A acute aortic dissection repair, and patients with these complications require many transfusions. Autologous platelet-rich plasma (PRP) is widely used to reduce the need for blood products. In the present study, we aimed to investigate the effects of PRP on blood conservation and the postoperative conditions of patients who underwent aortic arch replacement. METHODS: Patients with aortic dissection undergoing aortic arch replacement were included initially application In all, 837 patients were divided into the PRP and non-PRP groups according to PRP use, whereupon a propensity score match was performed. The data analyzed included patient basic information, intraoperative information, postoperative biochemical examinations, and CTA reports. RESULTS: In total, 610 patients were finally included (305 patients per group). Groups were well balanced after matching. Compared to the non-PRP group, less cryoprecipitate was transfused in the PRP group (10.0 [7.5, 11.0] vs. 10.0 [10.0, 11.5], P = 0.021), while no differences were found in packed RBC, FFP, and platelets between the two groups. Also, the surgery variables showed no differences. After surgery, patients in the PRP group showed higher postoperative serum albumin (36.43±4.20 vs. 35.39±4.40 g/L, P = 0.004) and total protein levels (59.38±6.25 vs. 58.06±7.19 g/L, P = 0.019) than the non-PRP group, but no significant differences in the levels of ALT, AST, Scr, and BUN. CTA reports showed that the proportion of patients with pleural effusion was lower in the PRP group (76.66% vs. 83.99%, OR = 1.59, 95% CI: 1.04-2.45, P = 0.028), while the proportions of pericardial effusion were not significantly different. CONCLUSIONS: PRP application in aortic arch replacement surgery reduced the transfusion of cryoprecipitate, increased the postoperative serum albumin and total protein levels, and reduced the incidence of pleural effusion. No effect of PRP application was found on other postoperative blood indicators and CTA reports.

Traditional Chinese Medicine Constitution Discrimination Model Based on Metabolomics and Random Forest Decision Tree Algorithm.

Constitution refers to the comprehensive and relatively stable characteristics of the genetic or acquired morphological structure, physiological function, and psychological state in the process of human individual life. A special metabolomics data processing method is established to find the unique m/z value of each constitution. Combined with the random forest decision tree algorithm, the discrimination model of 9 constitutions in traditional Chinese medicine is constructed, and the model is verified and tested. The test results show that the classification accuracy of each constitution is higher than 80%, indicating that the model can well identify nine constitutions of traditional Chinese medicine. The classification accuracy is related to the difficulty of distinguishing between constitutions. In a word, this study provides a fast and accurate method to distinguish the constitution of traditional Chinese medicine, provides an objective representation for the classification and judgment of clinical constitution of traditional Chinese medicine, and provides a scientific basis for the modernization of traditional Chinese medicine.