Bidirectional Communication Between the Brain and Other Organs: The Role of Extracellular Vesicles.

A number of substances released by the brain under physiological and pathological conditions exert effects on other organs. In turn, substances produced primarily by organs such as bone marrow, adipose tissue, or the heart may have an impact on the metabolism and function and metabolism of the healthy and diseased brain. Despite a mounting amount of evidence supports such bidirectional communication between the brain and other organs, research on the function of molecular mediators carried by extracellular vesicles (EVs) is in the early stages. In addition to being able to target or reach practically any organ, EVs have the ability to cross the blood-brain barrier to transport a range of substances (lipids, peptides, proteins, and nucleic acids) to recipient cells, exerting biological effects. Here, we review the function of EVs in bidirectional communication between the brain and other organs. In a small number of cases, the role has been explicitly proven; yet, in most cases, it relies on indirect evidence from EVs in cell culture or animal models. There is a dearth of research currently available on the function of EVs-carrying mediators in the bidirectional communication between the brain and bone marrow, adipose tissue, liver, heart, lungs, and gut. Therefore, more studies are needed to determine how EVs facilitate communication between the brain and other organs.

Serum glucose/potassium ratio as a clinical risk factor for predicting the severity and prognosis of acute traumatic spinal cord injury.

OBJECTIVE: Acute traumatic Spinal cord injury (TSCI) is a devastating event that causes severe sensory and motor impairments as well as autonomic dysfunction in patients, yet relevant clinical biomarkers have not been established. This study aimed to determine the significance of the serum glucose/potassium ratio (GPR) in evaluating TSCI severity and predicting prognosis. METHODS: An analysis of 520 clinical records of acute TSCI patients from January 2012 to June 2022 was conducted. The relationships between serum GPR and The American Spinal Injury Association Impairment Scale (AIS) grade 6-month post-trauma prognosis and the admission AIS grade were analyzed. To evaluate the discriminatory ability, a receiver operating characteristic curve (ROC) analysis was used. All methods were performed in accordance with the relevant guidelines and regulations. RESULTS: Based on the initial assessment of AIS grade, 256 (49.2%) patients were categorized into the severe TSCI group (AIS A-B), and there was a significant correlation between the severe TSCI group and serum GPR (p < 0.001). Serum GPR was reduced in an AIS grade-dependent manner (R = - 0.540, p < 0.001). Of the 520 patients, 262 (50.4%) patients were classified as having a poor prognosis according to the AIS grade at discharge. Serum GPR was also reduced in an AIS grade at discharge-dependent manner (R = - 0.599, p < 0.001), and was significantly higher in the poor prognosis group compared to the good prognosis group (p < 0.001). Poor prognosis was significantly associated with sex (p = 0.009), severity of TSCI (p < 0.001), location of TSCI (p < 0.001), surgical decompression (p < 0.018), body temperature (p < 0.001), heart rate (p < 0.001), systolic arterial pressure (SAP) (p < 0.001), diastolic arterial pressure (DAP) (p < 0.001), serum GPR (p < 0.001), serum glucose (p < 0.001), serum potassium (p < 0.001), and white blood cell count (p = 0.003). Multivariate logistic regression analysis showed a significant correlation between poor prognosis and serum GPR (p = 0.023). The ROC analysis showed the area under the curve of serum GPR to be a poor predictor of prognosis in TSCI patients at 0.842 (95% confidence interval, 0.808-0.875). CONCLUSION: There was a significant relationship between serum GPR and admission injury severity and the 6-month prognosis of acute TSCI patients. Serum GPR serves as a readily available clinical risk factor for predicting the severity and 6-month prognosis of acute traumatic spinal cord injury, which holds potential clinical significance for patients with TSCI.

Diagnostic and Predictive Value of Novel Inflammatory Markers of the Severity of Acute Traumatic Spinal Cord Injury: A Retrospective Study.

OBJECTIVE: In order to assess the relationships between the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio, and systemic immune inflammatory index (SII) and the American Spinal Injury Association Impairment Scale (AIS) grade in patients with acute traumatic spinal cord injury (TSCI). METHODS: We retrospectively investigated 526 patients with acute traumatic spinal cord injury admitted to the First Affiliated Hospital of Nanchang University between January 2012 and December 2021, and for whom routine blood tests were performed within 8 hours of injury. To assess the degree of impairment in TSCI patients using the American Spinal Cord Injury Association Impairment Scale. The patients were divided into 2 groups according to AIS grade as follows: patients with an AIS grade of A-B (severe and critical TSCI, respectively) were distinguished from those with an AIS grade of C-E (minimal, mild, and moderate TSCI, respectively). The association between unfavorable outcomes and each indicator was examined separately through univariate logistic regression analysis. Correlations between variables and AIS grades were analyzed by Spearman's correlation test. The discriminative ability of predictive models was evaluated using the area under the curve. RESULTS: The NLR, PLR, and SII were elevated in patients with spinal cord injury and exceeded the reference values in 95% of cases. The AIS grades were inversely correlated with the NLR, PLR, and SII. In the receiver operating characteristic curve analysis performed to confirm the utility of the NLR, PLR, and SII for predicting the AIS grade, the area under the curve values were 0.710 (95% confidence interval [CI], 0.666-0.755), 0.603 (95% CI, 0.554-0.651) and 0.638 (95% CI, 0.591-0.685), respectively. The optimal cut-off value for the NLR was 0.361 (sensitivity = 0.79, specificity = 0.57). CONCLUSIONS: The analysis of changes in NLR, PLR, and SII as indicators of the novel systemic inflammatory can be an important complement to traditional methods for the assessment of severity and prognosis and the possible selection of patients for close monitoring. And, NLR showed higher diagnostic performance than PLR and SII.