Venous thromboembolism ( VTE) remains the third most common cardiovascular disease with a vague pathogenesis.Conventional biomarkers exhibit poor performance in the diagnosis, surveillance and prognosis of VTE.MicroRNAs ( miRNAs ) are a class of evolutionarily conserved small non-coding RNAs that are involved in the regulation of gene expression and protein translation An array of experimental studies has shown the importance of miRNAs for disease initiation/progression.Circulating miRNAs are found in plasma, serum and other body fluids in an apparently stable form.Recent evidence revealed that circulating miRNAs, a novel family of regulatory molecules, emerge as a promising class of biomarkers in many cardiovascular diseases, malignancies as well as VTE.This review describes current understanding of miRNA biogenesis and the origins and types of circulating miRNAs and gives an outline of recent work on circulating miRNAs as well as its challenges and perspectives of the clinical utility of circulating miRNA in VTE.

BACKGROUND: The metal implant internal fixation exhibits good effect for femoral neck fractures of young patients, but few studies report the metal implant treatment for femoral neck fracture in the aged patients. OBJECTIVE: To compare different implant treatments for osteoporotic hip fractures in senile patients. METHODS: A total of 237 aged patients with osteoporotic hip fracture, aged from 60 to 96 years old, were recruited from the hospital between January 1998 and December 2008. There were 32 cases treated by cannulated screw internal fixation, 23 cases by anatomical plate internal fixation, 41 cases by dynamic hip screw internal fixation, 111 cases by bipolar femoral head replacement, and 30 cases by total hip replacement. Comparison of the incidence of complications and the recovery of hip function were performed in each group. RESULTS AND CONCLUSION: Cannulated screws, anatomical plates, dynamic hip screw internal fixation showed a higher complication rate significantly than bipolar femoral head replacement and total hip arthroplasty (P < 0.01); the good and excellent effect rate in cannulated screw, femoral end plate, and dynamic hip screw fixation was significantly lower than that in bipolar femoral head replacement and total hip arthroplasty (P < 0.001, P < 0.01). The results suggested that artificial joint replacement (bipolar femoral head replacement or total hip replacement) is the optimal choice for aged osteoporotic femoral neck fracture, cannulated screw fixation is suitable for Garden I, dynamic hip screw fixation and proximal femoral anatomical plate fixation fit for intertrochanteric fractures of Jensen-Evans I-Ⅱ; Jensen-Evans Ⅱ-Ⅲ osteoporotic intertrochanteric fractures joint replacement is the ideal choice.

Objective:To construct a nomogram for predicting unfavorable prognosis at 6 months after moderate and severe traumatic brain injury (msTBI) and validate its predictive effectiveness.Methods:A retrospective cohort study was conducted to analyze the clinical data of 387 patients with msTBI who were admitted to 904th Hospital of the Joint Logistic Support Force of PLA from January 2020 to December 2022, including 265 males and 122 females, aged 6-97 years [58(47, 68)years]. According to the Glasgow outcome scale (GOS) score at 6 months after injury, the patients were divided into favorable prognosis group (GOS 4-5 points, n=201) and unfavorable prognosis group (GOS 1-3 points, n=186). The clinical characteristics, imaging manifestations, and laboratory test results of the two groups on admission were recorded. Univariate analysis was applied to evaluate the correlation between the aforementioned indicators and the unfavorable prognosis of the msTBI patients at 6 months after injury. Receiver operating characteristic (ROC) curves of single variable and the correlation heatmap among continuous variables were plotted. Lasso regression was used to select variables and multivariate Logistic regression analysis was used to determine independent predictive factors so as to construct Logistic regression equation and plot the nomogram. The internal verification was carried out by means of random and non-random split of data. In random split, the data were divided randomly with a ratio of 6∶4 into training group ( n=232) and verification group ( n=155). In non-random split, the patients admitted from January 2020 to December 2021 were assigned to the training group ( n=260), while those admitted from January 2022 to December 2022 to the verification group ( n=127). Area under the curve (AUC) was used to evaluate the predictive ability of the model in the training group and verification group, calibration curve and Hosmer-Lemeshow (H-L) test to evaluate its goodness of fit, and decision curve analysis (DCA) to evaluate its clinical applicability. The influence of inclusion of neutrophil-to-lymphocyte ratio (NLR) model on the warning effectiveness of poor prognosis was analyzed in comparison with the model without inclusion of NLR. Results:Univariate analysis showed that there was a certain correlation between age, length of hospital stay, Glasgow coma scale (GCS), American Society of Anesthesiologists Physical Status (ASA-PS) classification, Injury severity score (ISS), prehospital tracheal intubation, hypotension, hypoxia, pupillary responsiveness, midline shift, basilar cisterna status, traumatic subarachnoid hemorrhage (tSAH), D-Dimer, prothrombin time activity (PTA), glucose, hemoglobin, K +, Cl -, Ca 2+, HCO -, creatinine, albumin, lactic acid, platelet, lymphocyte, systemic immune-inflammation index (SII), NLR, lymphocyte-to-monocyte ratio (LMR) and unfavorable prognosis of msTBI patients at 6 months after injury ( P<0.05 or 0.01). The ROC curve of single variable showed that GCS (AUC=0.82), ISS (AUC=0.81), pupillary responsiveness (AUC=0.76), basal cistern status (AUC=0.73) and NLR (AUC=0.73) had good predictive validity. The results of the correlation heatmap showed that there was a significant correlation and collinearity among the continuous variables, while no collinearity was found between ISS and NLR. Fourteen potential predictors selected by Lasso regression were included in multivariate Logistic regression analysis and its results showed that age ( OR=0.86, 95% CI 1.38, 5.19), GCS 6-8 points ( OR=3.13, 95% CI 1.06, 9.27), GCS 3-5 points ( OR=12.36, 95% CI 2.81, 54.27), ISS ( OR=3.68, 95% CI 1.38, 9.80), pupillary responsiveness ( OR=2.45, 95% CI 0.85, 7.07), and NLR ( OR=2.62, 95% CI 1.52, 4.51) were identified as the independent risk factors for unfavorable prognosis of msTBI patients at 6 months after injury ( P<0.05 or 0.01). The multivariate Logistic regression equation was Logit [P/(1-P)]=0.066×"age"+ 1.474×"GCS 6-8"+2.357×"GCS 3-5"+0.066×"ISS"+0.965×"absence of pupillary light reflex"+0.194×"NLR"-10.704. In the internal verification of random split of data, the AUC value of the model was 0.93 (95% CI 0.89, 0.96) in the training group and 0.93 (95% CI 0.89, 0.97) in the verification group. In the internal verification of non-random split, the AUC value was 0.94 (95% CI 0.91, 0.97) in the training group and 0.93 (95% CI 0.89, 0.97) in the verification group. The calibration curve and H-L test showed that the model had good calibration ability ( P>0.5). The results of DCA showed that the application of the nomogram would increase the net benefit of the patients (risk threshold probability of 0.0-0.8). Compared with the conventional model (AUC=0.90), inclusion of NLR model (AUC=0.93) enhanced the warning effectiveness. Conclusions:Age, GCS, ISS, pupillary responsiveness and NLR are independent risk factors affecting unfavorable prognosis in msTBI patients at 6 months after injury, based on which the nomogram constructed can better predict the clinical outcome of msTBI patients.

Parvalbumin interneurons belong to the major types of GABAergic interneurons. Although the distribution and pathological alterations of parvalbumin interneuron somata have been widely studied, the distribution and vulnerability of the neurites and fibers extending from parvalbumin interneurons have not been detailly interrogated. Through the Cre recombinase-reporter system, we visualized parvalbumin-positive fibers and thoroughly investigated their spatial distribution in the mouse brain. We found that parvalbumin fibers are widely distributed in the brain with specific morphological characteristics in different regions, among which the cortex and thalamus exhibited the most intense parvalbumin signals. In regions such as the striatum and optic tract, even long-range thick parvalbumin projections were detected. Furthermore, in mouse models of temporal lobe epilepsy and Parkinson's disease, parvalbumin fibers suffered both massive and subtle morphological alterations. Our study provides an overview of parvalbumin fibers in the brain and emphasizes the potential pathological implications of parvalbumin fiber alterations.
Mice ; Animals ; Epilepsy, Temporal Lobe/pathology* ; Parvalbumins/metabolism* ; Parkinson Disease/pathology* ; Neurons/metabolism* ; Interneurons/physiology* ; Disease Models, Animal ; Brain/pathology*