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Objective To investigate the clinical significance of platelet-to-monocyte ratio (PMR) in prognosis of colon cancer patients. Methods Preoperative peripheral blood routine indicators and clinicopathological data of 167 patients with surgical resection and pathological diagnosis of colon cancer from March 2015 to January 2019 in Wujin Hospital Affiliated to Jiangsu University were retrospectively collected. The relationship between PMR and clinicopathological characteristics of colon cancer patients, and Cox regression was used to analyze the relationship between PMR, clinicopathological features and prognosis of colon cancer patients. Results The PMR of patients with different genders and ages had statistically significant difference(P

The study aimed to investigate the effect of Huoxiang longhuang powder on the serum biochemical, antioxidant and immune indexes of fattening cattle. Eighty healthy, disease-free, well-conditioned Simmental crossbred cattle with an average weight of (385.0 ± 16.3) kg and similar age were selected and randomly divided into four groups, with four replicates in each group and five cattle in each replicate. The cattle in the control group, experimental group I, experimental group H, and experimental group M were fed with rations containing 0, 1%, 2%, and 4% Huoxiang longhuang powder, respectively. The preliminary trial lasted for 10 days, followed by a formal experimental period of 60 days. The results showed that compared to the control group, the total protein, globulin content, and alkaline phosphatase activity of fattening cattle in the experimental group H increased by 10.87%, 17.83% and 24.82%, respectively (P<0.05), and the urea nitrogen content decreased by 20.25% (P<0.05). Compared to the control group, the superoxide dismutase, catalase activities, and total antioxidant capacity in the serum of fattening cattle in the experimental group H increased by 36.70%, 28.63% and 35.28%, respectively (P<0.05). The concentrations of immunoglobulin A and immunoglobulin G of fattening cattle in the experimental group H increased by 18.99% and 29.98%, respectively (P<0.05). The study indicates that adding 2% Huoxiang longhuang powder to the diet of fattening cattle can improve the serum biochemical indexes, promote the deposition of fat and protein, and enhance antioxidant and immunity capabilities. [ABSTRACT FROM AUTHOR]

Objective: To construct a nomogram model for predicting the prognosis of colorectal cancer patients based on preoperative fibrinogen (Fbg), platelet to albumin ratio (PAR) and carbohydrate antigen 199 (CA199). Methods: In this retrospective study, we included 323 patients who underwent colorectal cancer (CRC) surgery in our hospital. The preoperative test indexes and relevant clinicopathological data of the patients were collected. According to the cut-off value of Fbg and PAR calculated from the receiver operating characteristic (ROC) curve, they were divided into the high and low expression groups. Univariate and multivariate Cox proportional hazards models were used to screen independent prognostic factors which were used to construct a nomogram. Results: According to ROC curve, the cut-off values of Fbg and PAR were 2.80 and 6.05. Multivariate Cox regression analysis showed that Fbg, PAR, CA199, TNM stage and grade were independent risk factors affecting the prognosis of patients (P <0.05). Fbg, PAR, and CA199 jointly built the risk score that was included into the nomogram. The area under the curve (AUC) in the ROC of the training and verification set was greater than 0.6. The calibration curve and ideal curve fit well. Conclusion: The nomogram based on Fbg, PAR and CA199 has well accuracy and can provide individualized prediction for the overall survival of CRC patients. [ABSTRACT FROM AUTHOR]

Current studies for brain-muscle modulation often analyze selected properties in electrophysiological signals, leading to a partial understanding. This article proposes a cross-modal generative model that converts brain activities measured by electroencephalography (EEG) to corresponding muscular responses recorded by electromyography (EMG). Examining the generation process in the model highlights how the motor cue, representing implicit motor information hidden within brain activities, modulates the interaction between brain and muscle systems. The proposed model employs a two-stage generation process to bridge the semantic gap in cross-modal signals. Initially, the shared movement-related information between EEG and EMG signals is extracted using a contrastive learning framework. These shared representations act as conditional vectors in the subsequent EMG generation stage based on generative adversarial networks (GANs). Experiments on a self-collected multimodal electrophysiological signal data set show the algorithm's superiority over existing time series generative methods in cross-modal EMG generation. Further insights derived from the model's inference process underscore the brain's strategy for muscle control during movements. This research provides a data-driven approach for the neuroscience community, offering a comprehensive perspective of brain-muscular modulation.