Application of machine learning models in predicting insomnia severity: an integrative approach with constitution of traditional Chinese medicine.

Objective: This study sought to explore the utility of machine learning models in predicting insomnia severity based on Traditional Chinese Medicine (TCM) constitution classifications, with an aim to discuss the potential applications of such models in the treatment and prevention of insomnia. Methods: We analyzed a dataset of 165 insomnia patients from the Shanghai Minhang District Integrated Traditional Chinese and Western Medicine Hospital. TCM constitution was assessed using a standardized Constitution in Chinese Medicine (CCM) scale. Sleep quality, or insomnia severity, was evaluated using the Spiegel Sleep Questionnaire (SSQ). Machine learning models, including Random Forest Classifier (RFC), Support Vector Classifier (SVC), and K-Nearest Neighbors (KNN), were utilized. These models were optimized using Grid Search algorithm and were trained and tested on stratified patient data, with the TCM constitution classifications serving as primary predictors. Results: The RFC outperformed others, achieving a weighted average accuracy, precision, recall, and F1-score of 0.91, 0.94, 0.92, and 0.92 respectively, it also effectively classified the severity of insomnia with high area under receiver operating characteristic curve (AUC-ROC) values. Feature importance analysis demonstrated the Damp-heat constitution as the most influential predictor, followed by Yang-deficiency, Qi-depression, Qi-deficiency, and Blood-stasis constitutions. Conclusion: The results demonstrate the potent utility of machine learning, specifically RFC, coupled with TCM constitution classifications in predicting insomnia severity. Notably, the constitution classifications such as Damp-heat and Yang-deficiency emerged as crucial determinants, emphasizing its potential in guiding targeted insomnia treatments. This approach enables the development of more personalized and efficient interventions, thereby enhancing patient outcomes.

Identification of key pathways and RNAs associated with skeletal muscle atrophy after spinal cord injury.

OBJECTIVE: This study was performed to investigate the potential key molecules involved in the progression of skeletal muscle atrophy after SCI. METHODS: Based on GSE21497 dataset, the DEmRNAs and DElncRNAs were screened after differentially expressed analysis. Then the enrichment analyses were performed on DEmRNAs. Then the PPI network and ceRNA network were constructed. Finally, the DGIdb was utilized to predict drug-gene interactions. RESULTS: A total of 412 DEmRNAs and 21 DElncRNAs were obtained. The DEmRNAs were significantly enriched in MAPK signaling pathway and FoxO signaling pathway. In addition, UBE2D1, JUN, and FBXO32 had higher node degrees in PPI network, and the top 20 genes with high degree were significantly enriched in FoxO signaling pathway and Endometrial cancer. Moreover, FOXO3 was regulated by hsa-miR-1207-5p and hsa-miR-1207-5p was regulated by lncRNA RP11-253E3.3 in ceRNA network. Finally, 37 drug-gene interactions were obtained based on the 26 genes in ceRNA network. CONCLUSION: UBE2D1, JUN, and FBXO32 are likely to be related to the progression of skeletal muscle atrophy after SCI, and activating of MAPK signaling pathway, Endometrial cancer and FoxO signaling pathway may induce skeletal muscle inflammation, apoptosis, autophagy and atrophy after SCI. Moreover, RP11-253E3.3-hsa-miR-1207-5p-FOXO3 axis may be a promising therapeutic target for skeletal muscle atrophy after SCI.

Construction and characterization of rectal cancer-related lncRNA-mRNA ceRNA network reveals prognostic biomarkers in rectal cancer.

Rectal cancer is an important cause of cancer-related deaths worldwide. In this study, the differentially expressed (DE) lncRNAs/mRNAs were first identified and the correlation level between DE lncRNAs and mRNAs were calculated. The results showed that genes of highly correlated lncRNA-mRNA pairs presented strong prognosis effects, such as GPM6A, METTL24, SCN7A, HAND2-AS1 and PDZRN4. Then, the rectal cancer-related lncRNA-mRNA network was constructed based on the ceRNA theory. Topological analysis of the network revealed that the network was maintained by hub nodes and a hub subnetwork was constructed, including the hub lncRNA MIR143HG and MBNL1-SA1. Further analysis indicated that the hub subnetwork was highly related to cancer pathways, such as 'Focal adhesion' and 'Wnt signalling pathway'. Hub subnetwork also had significant prognosis capability. A closed lncRNA-mRNA module was identified by bilateral network clustering. Genes in modules also showed high prognosis effects. Finally, a core lncRNA-TF crosstalk network was identified to uncover the crosstalk and regulatory mechanisms of lncRNAs and TFs by integrating ceRNA crosstalks and TF binding affinities. Some core genes, such as MEIS1, GLI3 and HAND2-AS1 were considered as the key regulators in tumourigenesis. Based on the authors' comprehensive analysis, all these lncRNA-mRNA crosstalks provided promising clues for biological prognosis of rectal cancer.

Heterochronous Metastases of Lung Adenocarcinoma to Pancreas and Liver: A Case Report from Pathological Perspectives.

Immunohistochemistry (IHC) is a vital tool to distinguish tumor metastases from primary lesions in addition to morphologic analysis. In this study, a 64-year-old female with a past surgical history of lung adenocarcinoma 11 years ago was presented with recurrence of liver nodular lesions after multiple surgical procedures, including the Whipple procedure for pancreatic head adenocarcinoma and cytoreductive surgery for liver metastasis. Liver biopsy and review of the previous specimens, based on IHC analyses, suggested heterochronous metastases of lung adenocarcinoma to the digestive systems in a long-time span, instead of primary pancreatic adenocarcinoma. This case demonstrates the potential for misdiagnoses from morphologic analysis alone and suggests the necessity of IHC analyses to avoid misjudgment on tumor phenotypes, when a previous oncologic history is presented.

[Effect of umbilical sticking therapy with qitou xiaogu plaster in treating liver cirrhosis patients with portal hypertension].

OBJECTIVE: To observe the effect of umbilical sticking therapy (UST) with Qitou Xiaugu Plaster (QXP) on hemodynamics of portal system in patients with liver cirrhosis. METHODS: One hundred and twenty patients of liver cirrhosis with portal hypertension were assigned to two groups. On the basis of conventional therapy, UST was applied in the 66 patients in treated group, which was exchanged once every 3 days with an interval of 1-day rest. The 54 patients in the control group were orally administered with propanolol. The therapeutic course for both groups was 1 month. Before and after treatment, the hemodynamic changes in portal or splenic veins were observed by color Doppler ultrasonograph, and the changes of liver function, blood coagulation and patients' subjective symptoms were observed as well. RESULTS: After treatment, portal vein diameter and splenic vein diameter significantly decreased (P < 0.05, portal venous flow velocity and splenic venous flow velocity apparently increased (P < 0.05), and portal venous flow apparently decreased in both groups (P < 0.05), while no significant change was found in the splenic venous flow (P > 0.05). The liver function and blood coagulation indexes in both groups were improved. The improvement of clinical symptoms in the treated group was superior to that in the control group. CONCLUSION: UST with QXP could decrease the portal vein pressure in a short time, with the therapeutic effect comparable to propanolol, and with no adverse reaction.

[Study on the molluscicidal effect of META-Li against Oncomelania hupensis].

OBJECTIVE: To evaluate the molluscicidal effect of the META-Li (40% META liquid formulation) against Oncomelania snails in laboratory and field. METHODS: The experiment of META-Li against the snails by spraying, immersion and climbing-inhibition test was carried out in laboratory. Spray method was performed in the field to compare with the wettable powder of 50% niclosamide ethanolamine salt. RESULTS: In laboratory, the LC50 of META-Li by spraying for 1, 2, 3 days was 0.78, 0.44 and 0.46 g/m2 respectively; by immersion method for 1, 2, 3 days, it was 44.4, 27.4 and 24.8 mg/L respectively. When sprayed with active ingredient 2 g/mW of META-Li in the field, the snail death rate was above 90% after 7 days, similar to that of niclosamide. CONCLUSION: META-Li shows high molluscicidal and climbing-inhibition effect on Oncomelania snails.