ObjectiveTo construct a large language model （LLM）-based intelligent pre-consultation system for traditional Chinese medicine （TCM） to improve efficacy of clinical practice. MethodsA TCM large language model was fine-tuned using DeepSpeed ZeRO-3 distributed training strategy based on YAYI 2-30B. A weighted undirected graph network was designed and an agent-based syndrome differentiation model was established based on relationship data extracted from TCM literature and clinical records. An agent collaboration framework was developed to integrate the TCM LLM with the syndrome differentiation model. Model performance was comprehensively evaluated by Loss function， BLEU-4， and ROUGE-L metrics， through which training convergence， text generation quality， and language understanding capability were assessed. Professional knowledge test sets were developed to evaluate system proficiency in TCM physician licensure content， TCM pharmacist licensure content， TCM symptom terminology recognition， and meridian identification. Clinical tests were conducted to compare the system with attending physicians in terms of diagnostic accuracy， consultation rounds， and consultation duration. ResultsAfter 100 000 iterations， the training loss value was gradually stabilized at about 0.7±0.08， indicating that the TCM-LLM has been trained and has good generalization ability. The TCM-LLM scored 0.38 in BLEU-4 and 0.62 in ROUGE-L， suggesting that its natural language processing ability meets the standard. We obtained 2715 symptom terms， 505 relationships between diseases and syndromes， 1011 relationships between diseases and main symptoms， and 1 303 600 relationships among different symptoms， and constructed the Agent of syndrome differentiation model. The accuracy rates in the simulated tests for TCM practitioners， licensed pharmacists of Chinese materia medica， recognition of TCM symptom terminology， and meridian recognition were 94.09%， 78.00%， 87.50%， and 68.80%， respectively. In clinical tests， the syndrome differentiation accuracy of the system reached 88.33%， with fewer consultation rounds and shorter consultation time compared to the attending physicians （P＜0.01）， suggesting that the system has a certain pre- consultation ability. ConclusionThe LLM-based intelligent TCM pre-diagnosis system could simulate diagnostic thinking of TCM physicians to a certain extent. After understanding the patients' natural language， it collects all the patient's symptom through guided questioning， thereby enhancing the diagnostic and treatment efficiency of physicians as well as the consultation experience of the patients.

Objective: The existence of activating transcription factor 1 (ATF1) could be employed as a clinical marker in the context of cervical cancer development, although its specific mechanism has not been fully clarified. Methods: To evaluate the presence of ATF1, miR-630, and myelin and lymphocyte protein 2 (MAL2) in cervical malignancies, we conducted quantitative reverse transcription polymerase chain reaction, immunohistochemistry, and Western blot assays; further studied the expansion, migration, invasion and epithelial-mesenchymal transition (EMT) of cervical carcinoma cells using colony formation assay, transwell, loss cytometry, Western blot.Chromatin immunoprecipitation (ChIP) and RNA immunoprecipitation (RIP) were used to verify that ATF1 could directly transcriptionally repress miR-630; dual luciferase reporter assay and RIP assay were employed to confirm that miR-630 targeted to repress MAL2. Results: In cervical cancer cases, elevated ATF1 expression and reduced miR-630 expression were detected, displaying a negative relationship between them. Inhibition of ATF1 hindered the growth, migration, infiltration, and EMT in cervical carcinoma cells, while upregulation of miR-630 mitigated the aggressive characteristics of these cells. ATF1 was found to transcriptionally repress miR-630 by TransmiR and ALGGEN prediction and ChIP validation.MicroRNA modulates gene expression and affects cancer progression, and we discovered that miR-630 regulates cancer progression by targeting and inhibiting MAL2. Conclusion ATF1, which modulates the miR-630/MAL2 pathway, affects the EMT process and cervical carcinoma cell growth and spread. Therefore, ATF1 may serve as a promising marker and treatment target for cervical malignancies intervention.

Objective: The existence of activating transcription factor 1 (ATF1) could be employed as a clinical marker in the context of cervical cancer development, although its specific mechanism has not been fully clarified. Methods: To evaluate the presence of ATF1, miR-630, and myelin and lymphocyte protein 2 (MAL2) in cervical malignancies, we conducted quantitative reverse transcription polymerase chain reaction, immunohistochemistry, and Western blot assays; further studied the expansion, migration, invasion and epithelial-mesenchymal transition (EMT) of cervical carcinoma cells using colony formation assay, transwell, loss cytometry, Western blot.Chromatin immunoprecipitation (ChIP) and RNA immunoprecipitation (RIP) were used to verify that ATF1 could directly transcriptionally repress miR-630; dual luciferase reporter assay and RIP assay were employed to confirm that miR-630 targeted to repress MAL2. Results: In cervical cancer cases, elevated ATF1 expression and reduced miR-630 expression were detected, displaying a negative relationship between them. Inhibition of ATF1 hindered the growth, migration, infiltration, and EMT in cervical carcinoma cells, while upregulation of miR-630 mitigated the aggressive characteristics of these cells. ATF1 was found to transcriptionally repress miR-630 by TransmiR and ALGGEN prediction and ChIP validation.MicroRNA modulates gene expression and affects cancer progression, and we discovered that miR-630 regulates cancer progression by targeting and inhibiting MAL2. Conclusion ATF1, which modulates the miR-630/MAL2 pathway, affects the EMT process and cervical carcinoma cell growth and spread. Therefore, ATF1 may serve as a promising marker and treatment target for cervical malignancies intervention.

Objective: The existence of activating transcription factor 1 (ATF1) could be employed as a clinical marker in the context of cervical cancer development, although its specific mechanism has not been fully clarified. Methods: To evaluate the presence of ATF1, miR-630, and myelin and lymphocyte protein 2 (MAL2) in cervical malignancies, we conducted quantitative reverse transcription polymerase chain reaction, immunohistochemistry, and Western blot assays; further studied the expansion, migration, invasion and epithelial-mesenchymal transition (EMT) of cervical carcinoma cells using colony formation assay, transwell, loss cytometry, Western blot.Chromatin immunoprecipitation (ChIP) and RNA immunoprecipitation (RIP) were used to verify that ATF1 could directly transcriptionally repress miR-630; dual luciferase reporter assay and RIP assay were employed to confirm that miR-630 targeted to repress MAL2. Results: In cervical cancer cases, elevated ATF1 expression and reduced miR-630 expression were detected, displaying a negative relationship between them. Inhibition of ATF1 hindered the growth, migration, infiltration, and EMT in cervical carcinoma cells, while upregulation of miR-630 mitigated the aggressive characteristics of these cells. ATF1 was found to transcriptionally repress miR-630 by TransmiR and ALGGEN prediction and ChIP validation.MicroRNA modulates gene expression and affects cancer progression, and we discovered that miR-630 regulates cancer progression by targeting and inhibiting MAL2. Conclusion ATF1, which modulates the miR-630/MAL2 pathway, affects the EMT process and cervical carcinoma cell growth and spread. Therefore, ATF1 may serve as a promising marker and treatment target for cervical malignancies intervention.

Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks

Objective To investigate the expression of miR-204 and silence information regulator 1(SIRT1)in colorectal cancer and their clinical value.Methods Cancer tissue specimens and paracancer tissue specimens of 60 patients with colorectal cancer treated in Department of Gastrointestinal Surgery of Affiliated Hospital of Jiaxing University from May 2018 to June 2020 were collected as study objects.Real time fluorogenic quantitative polymerase chain reaction was used to detect the gene expression of miR-204 and SIRT1,and the correlation between miR-204 and SIRT1 gene expression was compared by Pearson analysis.Immunohistochemical SABC method was used to detect SIRT1 protein expression,and relationship between different SIRT1 protein expression and clinicopathological features was compared.Kaplan-Meier method was used to analyze the survival difference of colorectal cancer patients with different SIRT1 protein expression.Results The mRNA expression of miR-204 gene in cancer tissues was significantly lower than that in paracancer tissues(P<0.05),and the mRNA expression of SIRT1 gene was significantly higher than that in paracancer tissues(P<0.05).Pearson correlation analysis showed that miR-204 was negatively correlated with SIRT1 mRNA expression in both paracancer tissues and cancer tissues(r=-0.647,-0.737,P<0.05).The expression of SIRT1 protein was correlated with the differentiation level,invasion level,lymph node metastasis and TNM stage of colorectal cancer(P<0.05),but not with patient age,gender,tumor size and tumor site(P>0.05).Kaplan-Meier analysis showed that the survival rate of patients with positive expression of SIRT1 in cancer tissues was significantly lower than that of patients with negative expression of SIRT1(χ2=5.001,P=0.025).Conclusion The expression of miR-204 is down-regulated and SIRT1 expression is up-regulated in colorectal cancer tissues,which may jointly promote the metastasis and invasion of colorectal cancer and affect the prognosis of patients through mutual influence.

Oral microbiota is the second largest microbiota in the human body. Due to its unique ecological environment, oral microbiota can affect oral health and whole body condition in various ways. With the progress of research, the role of oral microbiota in cardiocerebrovascular diseases is gradually being understood. At present, it is believed that oral microbiota can affect ischemic stroke through microbiota transfer, metabolites production, systemic inflammation, and other mechanisms. This article reviews the correlation and possible mechanisms between oral microbiota and ischemic stroke.

ObjectiveTo investigate the effect and mechanism of Yiqi Wenyang Huwei decoction （YWHD） on airway inflammation in bronchial asthma （BA） rats based on transforming growth factor-β₁ （TGF-β₁）/SMAD family member 3 （Smad3） signaling pathway. MethodSixty male SD rats were randomly divided into a normal group， a model group， a dexamethasone （DEX） group， and low-， medium-， and high-dose YWHD groups， with 10 rats in each group. The BA model was induced by intraperitoneal injection of 1 mL of ovalbumin （OVA）-aluminum hydroxide suspension for sensitization， followed by nebulization with 2% OVA. One hour before daily OVA nebulization， the control group was treated with saline， the DEX group with DEX solution at 0.2 g·L^-1， and the low-， medium-， and high-dose YWHD groups with YWHD at 1， 2， 4 g·mL^-1， respectively. General conditions and lung function were observed. Bronchoalveolar lavage fluid （BALF） and serum were collected to count inflammatory cells in BALF and measure immunoglobulin E （IgE） levels in serum and inflammatory cytokines in BALF using enzyme-linked immunosorbent assay （ELISA）. Pathological changes in lung tissues， collagen deposition， and airway mucus secretion were observed by hematoxylin-eosin （HE）， Masson， and periodic acid-Schiff （PAS） staining. TGF-β₁/Smad3-related mRNA and protein levels in lung tissues were determined by Real-time fluorescent quantitative polymerase chain translation （Real-time PCR） and Western blot analysis. ResultCompared with the normal group， the model group showed increased total airway resistance （RL） and decreased dynamic compliance （Cdyn） （P<0.05， P<0.01）， elevated serum IgE levels， increased inflammatory cell counts， and higher inflammatory cytokine levels in BALF （P<0.01）. Additionally， there was significant inflammatory cell infiltration， collagen deposition， and mucus secretion in lung tissues. The levels of TGF-β₁， α-smooth muscle actin （α-SMA）， and Smad3 phosphorylation in lung tissues were significantly increased （P<0.01）. Compared with the model group， the DEX group and high-dose YWHD group exhibited significantly reduced RL （P<0.01）， improved lung dynamic compliance （P<0.05）， and lower serum IgE levels， inflammatory cell counts， and inflammatory cytokine levels in BALF （P<0.05）. Moreover， these treatments alleviated pathological damage in lung tissues and reduced the levels of TGF-β₁， α-SMA， and Smad3 phosphorylation （P<0.01）. ConclusionYWHD reduces airway inflammation， improves pathological damage， and mitigates airway remodeling in bronchial asthma rats， possibly by downregulating TGF-β₁， α-SMA protein levels， and Smad3 phosphorylation.

Objective:To evaluate the safety and feasibility of neoadjuvant chemotherapy (NACT) combined with radical surgery for elderly patients with locally advanced gastric cancer (LAGC).Methods:One hundred and fourty eight patients with LAGC after NACT and gastrectomy between 2012 and 2020 were retrospectively reviewed. They were divided into two groups: (1) <65 years old (111 cases) and (2) ≥65 years old (37 cases) and their clinicopathological and prognostic data were compared.Results:There was no significant difference between the two groups in the incidence of hematological complications such as anemia ( χ2=0.235, P=0.628), leukopenia ( χ2=0.613, P=0.434), neutropenia ( χ2=0.011, P=0.918) and thrombocytopenia ( χ2=0.253, P=0.615) and non-hematological complications such as nausea ( χ2=0.092, P=0.762), vomiting ( χ2=0.166, P=0.683), diarrhea ( χ2=0.015, P=0.902) and mucositis ( χ2=0.199, P=0.766) due to NACT. There were no statistical differences between the older patients and the younger in operation duration ( t=0.270, P=0.604), intraoperative bleeding ( t=1.140, P=0.250) and R 0 resection rate ( χ2=0.105, P=0.750). The incidence of postoperative complications was 25.2% and 37.8% in the younger patients and the olders ( χ2=2.172, P=0.141). Pleural effusion ( χ2=7.007, P=0.008) and pulmonary infection ( χ2=10.204, P=0.001) was significantly higher in the older patients than in the youngers. The 3-year progression-free survival rate ( t=0.494, P=0.482) and 3-year overall survival rate ( t=0.013, P=0.908) were comparable between the two groups. Conclusions:NACT combined with radical surgery is safe and effective in elderly patients with LAGC, except for higher perioperative pulmonary-related complications.

Glioblastoma (GBM), characterized by rapid progression, easy recurrence and treatment resistance, is the most aggressive and lethal tumor of the central nervous system. Adenovirus E1A binding protein p300 (p300) serves rich functions as transcriptional coactivator and lysine acetyltransferase. Studies have shown that p300 plays an important role in the occurrence, proliferation, invasion and resistance to chemoradiotherapy of GBM. This paper reviews the structure and function of p300, and systematically expounds its various ways participating in GBM development and its translational perspectives, so as to provide references for GBM study.