Construction and Application of a Traditional Chinese Medicine Syndrome Differentiation Model for Dysmenorrhea Based on Machine Learning.

BACKGROUND: Dysmenorrhea is one of the most common ailments affecting young and middle-aged women, significantly impacting their quality of life. Traditional Chinese Medicine (TCM) offers unique advantages in treating dysmenorrhea. However, an accurate diagnosis is essential to ensure correct treatment. This research integrates the age-old wisdom of TCM with modern Machine Learning (ML) techniques to enhance the precision and efficiency of dysmenorrhea syndrome differentiation, a pivotal process in TCM diagnostics and treatment planning. METHODS: A total of 853 effective cases of dysmenorrhea were retrieved from the CNKI database, including patients' syndrome types, symptoms, and features, to establish the TCM information database of dysmenorrhea. Subsequently, 42 critical features were isolated from a potential set of 86 using a selection procedure augmented by Python's Scikit-Learn Library. Various machine learning models were employed, including Logistic Regression, Random Forest Classifier, Support Vector Machine (SVM), K-Nearest Neighbors (KNN), and Artificial Neural Networks (ANN), each chosen for their potential to unearth complex patterns within the data. RESULTS: Based on accuracy, precision, recall, and F1-score metrics, SVM emerged as the most effective model, showcasing an impressive precision of 98.29% and an accuracy of 98.24%. This model's analytical prowess not only highlighted the critical features pivotal to the syndrome differentiation process but also stands to significantly aid clinicians in formulating personalized treatment strategies by pinpointing nuanced symptoms with high precision. CONCLUSION: The study paves the way for a synergistic approach in TCM diagnostics, merging ancient wisdom with computational acuity, potentially innovating the diagnosis and treatment mode of TCM. Despite the promising outcomes, further research is needed to validate these models in real-world settings and extend this approach to other diseases addressed by TCM.

Icariin activates autophagy to trigger TGFß1 upregulation and promote angiogenesis in EA.hy926 human vascular endothelial cells.

Angiogenesis plays an important role in tissue development and repair, and how to regulate angiogenesis effectively is a widely studied problem in the biomedical field. In recent years, the role of autophagy in vascular endothelial cells has attracted extensive attention. Icariin (ICA) is a traditional Chinese medicine that has been proven to have outstanding protective effects on the vascular system and to regulate cellular autophagy effectively. However, at present, it has not been reported whether ICA can affect the angiogenic ability of endothelial cells by affecting autophagy. In this study, we aimed to investigate whether ICA affects the angiogenesis capacity of EA.hy926 human vascular endothelial cells through autophagy and explain the underlying potential mechanisms. First, we determined that ICA at appropriate concentrations has the ability to promote cell migration and angiogenesis using wound healing assays and tube formation assays. Then, at the molecular level, we observed the upregulation of VEGFA, VEGFR2, ANGI, ANGII, and Tie2 mRNA and detected the upregulation of TGFß1 protein by Western blotting. We also demonstrated that angiogenic concentrations of ICA can effectively activate autophagy. The autophagy inhibitor 3-MA significantly suppressed TGFß1 expression and tube formation in EA.hy926 cells. Overall, we hope that our studies might help to further understand the effect of ICA on vascular endothelial cells and provide a theoretical basis for future angiogenic applications of ICA.

Impact of childhood trauma on sensory gating in patients with first-episode schizophrenia.

BACKGROUND: Childhood trauma (CT) has been found to contribute to the onset of schizophrenia and auditory sensory gating deficit is a leading endophenotype for schizophrenia. However, the association between the CT and sensory gating in first-episode schizophrenia remains elusive. METHODS: Fifty-six patients and 49 age and sex-matched healthy controls were assessed using the Childhood Trauma Questionnaire-Short Form (CTQ-SF) for CT and Positive and Negative Syndrome Scale (PANSS) for symptoms severity. Sensory gating was tested using the modified paradigm, perceived spatial separation-induced prepulse inhibition (PSS-PPI), and the perceived spatial co-location PPI (PSC-PPI or classical PPI). RESULTS: Comparing with healthy controls, the patients had significantly higher score on sexual abuse (t = 2.729, p < 0.05), lower PSS- PPI, % (ISI = 120 ms and ISI = 60 ms) (t = - 3.089, - 4.196, p < 0.05). Univariate analysis revealed the absence of a significant correlation among CT, PPI paradigms and symptoms. However, multiple linear regression analyses demonstrated the CTQ-SF total was negatively associated with PSS PPI (ISI = 120 ms) (p = 0.018). CONCLUSION: The current study illustrates that the impact of CT on sensory gating in patients with first-episode schizophrenia, and thus we conclude that CT may be a risk factor to the occurrence of schizophrenia through its impact on sensory gating.

Impact of childhood trauma on sensorimotor gating in Chinese patients with chronic schizophrenia.

We investigated the relationship between childhood trauma (CT) and sensorimotor gating in Chinese patients diagnosed with chronic schizophrenia. Seventy-five patients were assessed with the Childhood Trauma Questionnaire-Short Form (CTQ-SF), and then the modified paradigm, perceived spatial separation-induced prepulse inhibition (PSS PPI) and the perceived spatial co-location PPI (PSC PPI or classical PPI) were applied to test sensorimotor gating. Startling stimuli (90 dB) were presented either alone or preceded by discrete prepulse stimuli of 4 dB in a background 60-dB noise level. Associations between CT and various PPI paradigms were statistically analyzed. Univariate analysis revealed the absence of a significant correlation between CT and PPI paradigms (p > 0.05). However, multiple linear regression analyses revealed that sexual abuse and the positive and negative syndrome scale (PANSS) score were negatively correlated with PSS PPI (p = 0.029 and 0.008, respectively). On the other hand, female sex and history of smoking were positively correlated with PSS PPI (p = 0.044 and 0.043, respectively). In conclusion, the results of this study suggest that CT can be a predisposing factor that affects sensorimotor gating in schizophrenia patients.

Cytotoxicity of phenanthrenes extracted from Aristolochia contorta in human proximal tubular epithelial cell line.

BACKGROUND/AIMS: Aristolochic acid nephropathy, a progressive tubulointerstitial renal disease, is predominantly a result of aristolochic acid I (AA-I) intoxication. However, other unidentified phytotoxins have indeed been postulated as the cause of this unique interstitial nephropathy. The purpose of this study was to investigate the cytotoxicity of other phenanthrene derivatives extracted from Aristolochia contorta in the human proximal tubular epithelial cell line HK-2. METHODS: After HK-2 cells were incubated with an indicated concentration of test compounds for 24 h, cell viability was assessed by lactate dehydrogenase (LDH) leakage assay (cell membrane damage) in combination with MTT assay (metabolic capability). Cellular morphologic assessments were performed with a phase-contrast inverted microscope and transmission electron microscope. RESULTS: In all test compounds at 5 microg/ml, AA-I, 7-methoxy-aristololactam IV and aristololactam IVa showed cytotoxic activity in HK-2 cells in both MTT assay and LDH leakage assay (p < 0.01). At high concentration (5-80 microg/ml), these three compounds caused a dose-dependent decrease in MTT reduction and a dose-dependent increase in LDH leakage compared to non-treated cells (p <0.01). In LDH leakage assay, 40 mug/ml 7-methoxy-aristololactam IV induced a 1.58-fold LDH leakage compared to AA-I at the same concentration (p < 0.01). Moreover, the IC50 of these three compounds were 16.675 microg/ml for AA-I, 4.535 microg/ml for 7-methoxy-aristololactam IV, and 30.244 microg/ml for aristololactam IVa in MTT assay. The cellular morphologic assessments suggest interactions with cell membrane and intracellular structures such as lysosome and mitochondria are likely to be involved in cell injury induced by these three compounds. CONCLUSION: The potency of cytotoxic activity of aristololactam IVa and 7-methoxy-aristololactam IV extracted from A. contorta is similar to or even stronger than that of AA-I.