1.Mechanism of action of the Notch signaling pathway in mediating immune inflammatory response in liver injury
Faming SHU ; Ying HUANG ; Kan ZHANG ; Fajuan HE ; Fuli LONG ; Dewen MAO
Journal of Clinical Hepatology 2025;41(11):2424-2428
Immune inflammatory response runs through the whole pathological process of liver injury, but its specific regulatory mechanism remains unclear. Recent studies have shown that the Notch signaling pathway plays an important role in liver injury by regulating macrophage polarization, activating neutrophil recruitment, and modulating the differentiation of regulatory immune cells. This article systematically reviews the molecular mechanisms of the Notch signaling pathway in mediating immune inflammatory response in liver injury, in order to provide new perspectives for clarifying the molecular mechanism of immune inflammatory damage in liver diseases, as well as a new reference for future research directions.
2.Research on the Intelligent Assisted Diagnosis and Treatment System of Xin'an Medicine Based on Artificial Intelligence
Shuxuan TANG ; Yongxiang XU ; Jie ZHOU ; Luyao ZHANG ; Peng WANG ; Hongxing KAN ; Fudong NIAN ; Jianhua SHU
Journal of Nanjing University of Traditional Chinese Medicine 2024;40(12):1348-1356
OBJECTIVE To develop an artificial intelligence-based intelligent auxiliary diagnosis and treatment system for Xin'an medicine to address the challenges of integrating ancient Xin'an medical case records into modern clinical applications.METHODS The project involved structuring and standardizing case records from ancient texts of Xin'an medicine to build a compre-hensive Xin'an medicine database.Advanced techniques,such as data annotation,entity relationship extraction,and data mining,were applied to create a Xin'an medicine knowledge base.Furthermore,a knowledge graph of Xin'an medicine was constructed using techniques for knowledge acquisition,integration,storage,and graph-based question-answering,improving the efficiency of knowl-edge organization and retrieval.The LangChain framework was utilized to connect the Xin'an medicine knowledge base to a large lan-guage model,enabling a model-driven local knowledge base question-answering system.RESULTS The study successfully estab-lished a systematic and standardized knowledge base for Xin'an medical case records.The application of knowledge graph technology provided a clear visualization of Xin'an medicine's knowledge structure,and the development of an intelligent question-answering module significantly improved the efficiency of knowledge management and retrieval.The local knowledge base question-answering sys-tem,powered by a large language model and based on Xin'an medicine's theoretical and practical expertise,delivered accurate diag-nostic and treatment support,promoting the heritage and innovation of Xin'an medicine.CONCLUSION This research validates the feasibility of modernizing traditional medical texts and provides an innovative approach to knowledge development and clinical applica-tion in Chinese medicine.The findings have significant academic value and promising clinical implications.
3.Named Entity Recognition of Traditional Chinese Medicine Ancient Records Based on Multi-feature Fusion
Luyao ZHANG ; Jianhua SHU ; Peng WANG ; Hongxing KAN ; Yongxiang XU ; Jie ZHOU ; Shuxuan TANG
Journal of Medical Informatics 2024;45(11):50-58
Purpose/Significance To construct a named entity corpus of traditional Chinese medicine(TCM)ancient records,and to improve the recognition accuracy and applicability of the general domain named entity recognition(NER)model in the field of TCM ancient records.Method/Process Annotation standards for entities in TCM ancient records are formulated,and 2 384 Xin'an medical records are annotated.A RoBERTa-BiLSTM-CRF model is developed,and word vectors with semantic features are generated using the RoBERTa pre-trained language model.The BiLSTM-CRF model is used to learn the global semantic features of sequences and decode and output the optimal label sequence.Dictionary and rule features are incorporated to enhance the model's capability to recognize entity boundaries and categories.Result/Conclusion The model shows a good recognition effect on the named entity corpus of Xin'an medical cases.Integration of domain terminology dictionaries and rule-based features improves the overall Fl score to 72.8%.
4.Long-term outcomes of intravascular ultrasound-guided drug-eluting stents implantation in patients with acute coronary syndrome: ULTIMATE ACS subgroup
Xiaofei GAO ; Leng HAN ; Xuesong QIAN ; Zhen GE ; Xiangquan KONG ; Shu LU ; Jing KAN ; Guangfeng ZUO ; Junjie ZHANG ; Shaoliang CHEN
Chinese Journal of Cardiology 2024;52(2):137-143
Objective:To explore the long-term effects of intravascular ultrasound (IVUS) guidance on patients with acute coronary syndrome (ACS) undergoing drug-eluting stents (DES) implantation.Methods:Data used in this study derived from ULTIMATE trial, which was a prospective, multicenter, randomized study. A total of 1 448 all-comer patients were enrolled between 2014 August and 2017 May. Primary endpoint of this study was target vessel failure (TVF) at 3 years, including cardiac death, target-vessel-related myocardial infarction, and clinically-driven target vessel revascularization.Results:ACS was present in 1 136 (78.5%) patients, and 3-year clinical follow-up was available in 1 423 patients (98.3%). TVF in the ACS group was 9.6% (109/1 136), which was significantly higher than 4.5% (14/312) in the non-ACS group (log-rank P=0.005). There were 109 TVFs in the ACS patients, with 7.6% (43/569) TVFs in the IVUS group and 11.6% (66/567) TVFs in the angiography group (log-rank P=0.019). Moreover, patients with optimal IVUS guidance were associated with a lower risk of 3-year TVF compared to those with suboptimal IVUS results (5.4% (16/296) vs. 9.9% (27/273),log-rank P=0.041). Conclusions:This ULTIMATE-ACS subgroup analysis showed that ACS patients undergoing DES implantation were associated with a higher risk of 3-year TVF. More importantly, the risk of TVF could be significantly decreased through IVUS guidance in patients with ACS, especially in those who had an IVUS-defined optimal procedure.
5.Research on the Intelligent Assisted Diagnosis and Treatment System of Xin'an Medicine Based on Artificial Intelligence
Shuxuan TANG ; Yongxiang XU ; Jie ZHOU ; Luyao ZHANG ; Peng WANG ; Hongxing KAN ; Fudong NIAN ; Jianhua SHU
Journal of Nanjing University of Traditional Chinese Medicine 2024;40(12):1348-1356
OBJECTIVE To develop an artificial intelligence-based intelligent auxiliary diagnosis and treatment system for Xin'an medicine to address the challenges of integrating ancient Xin'an medical case records into modern clinical applications.METHODS The project involved structuring and standardizing case records from ancient texts of Xin'an medicine to build a compre-hensive Xin'an medicine database.Advanced techniques,such as data annotation,entity relationship extraction,and data mining,were applied to create a Xin'an medicine knowledge base.Furthermore,a knowledge graph of Xin'an medicine was constructed using techniques for knowledge acquisition,integration,storage,and graph-based question-answering,improving the efficiency of knowl-edge organization and retrieval.The LangChain framework was utilized to connect the Xin'an medicine knowledge base to a large lan-guage model,enabling a model-driven local knowledge base question-answering system.RESULTS The study successfully estab-lished a systematic and standardized knowledge base for Xin'an medical case records.The application of knowledge graph technology provided a clear visualization of Xin'an medicine's knowledge structure,and the development of an intelligent question-answering module significantly improved the efficiency of knowledge management and retrieval.The local knowledge base question-answering sys-tem,powered by a large language model and based on Xin'an medicine's theoretical and practical expertise,delivered accurate diag-nostic and treatment support,promoting the heritage and innovation of Xin'an medicine.CONCLUSION This research validates the feasibility of modernizing traditional medical texts and provides an innovative approach to knowledge development and clinical applica-tion in Chinese medicine.The findings have significant academic value and promising clinical implications.
6.Fatty Acid Binding Protein 5 (FABP5) Promotes Aggressiveness of Gastric Cancer Through Modulation of Tumor Immunity
Mei-qing QIU ; Hui-jun WANG ; Ya-fei JU ; Li SUN ; Zhen LIU ; Tao WANG ; Shi-feng KAN ; Zhen YANG ; Ya-yun CUI ; You-qiang KE ; Hong-min HE ; Shu ZHANG
Journal of Gastric Cancer 2023;23(2):340-354
Purpose:
Gastric cancer (GC) is the second most lethal cancer globally and is associated with poor prognosis. Fatty acid-binding proteins (FABPs) can regulate biological properties of carcinoma cells. FABP5 is overexpressed in many types of cancers; however, the role and mechanisms of action of FABP5 in GC remain unclear. In this study, we aimed to evaluate the clinical and biological functions of FABP5 in GC.
Materials and Methods:
We assessed FABP5 expression using immunohistochemical analysis in 79 patients with GC and evaluated its biological functions following in vitro and in vivo ectopic expression. FABP5 targets relevant to GC progression were determined using RNA sequencing (RNA-seq).
Results:
Elevated FABP5 expression was closely associated with poor outcomes, and ectopic expression of FABP5 promoted proliferation, invasion, migration, and carcinogenicity of GC cells, thus suggesting its potential tumor-promoting role in GC. Additionally, RNA-seq analysis indicated that FABP5 activates immune-related pathways, including cytokinecytokine receptor interaction pathways, interleukin-17 signaling, and tumor necrosis factor signaling, suggesting an important rationale for the possible development of therapies that combine FABP5-targeted drugs with immunotherapeutics.
Conclusions
These findings highlight the biological mechanisms and clinical implications of FABP5 in GC and suggest its potential as an adverse prognostic factor and/or therapeutic target.
7.Analysis of risk factors for the development of post-stroke depression in patients with first acute stroke
Shitong GONG ; Shu KAN ; Yajie ZHANG ; Yingfeng MU ; Bo DU ; Qingqing LI ; Na SHEN ; Fangyuan WANG ; Deqin GENG
Chinese Journal of Postgraduates of Medicine 2023;46(12):1072-1076
Objective:To investigate the risk factors of post-stroke depression (PSD) in patients with first acute stroke 6 months after onset.Methods:Three hundred and sixty-seven patients with acute stroke who were treated for the first time in the Affiliated Hospital of Xuzhou Medical University were selected retrospectively. After onset for 6 months, the patients were followed up and divided into PSD group and non-PSD group. The clinical data, blood index, imaging data, degree of nerve damage and the patient's stigma level were compared between the two groups.Results:Totally 182 and 185 cases were included in the PSD and non-PSD groups, respectively. The incidence of PSD at 6 months post-stroke was 49.6% (182/367). The results of univariate analysis showed that diseased region, drinking history, monthly income, standard of culture, serum cortisol, total cholesterol (TC), high sensitivity C-reactive protein (hs-CRP), neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), Stigma Scale for Chronic Illness-8 Chronic Disease Stigma Scale-8(SSCI-8) scores, National Institute of Health Stroke Scale (NIHSS) scores and subtype of stroke were risk factors for PSD ( P<0.05). Binary Logistic regression analysis showed that diseased region at frontal lobe ( OR = 3.245, P = 0.011), basal ganglia region ( OR = 2.820, P = 0.007), cerebellar hemisphere ( OR = 4.594, P = 0.010) and serum cortisol ( OR = 1.174, P<0.001), hs-CRP ( OR = 1.057, P<0.001), SSCI-8 scores ( OR = 1.674, P<0.001), NIHSS scores ( OR = 1.283, P<0.001) were independent risk factors for PSD. Conclusions:PSD is a common complication in patients with stroke. Diseased region (at frontal lobe, basal ganglia region, cerebellar hemispheres), hs-CRP, serum cortisol, level of morbidity stigma and degree of neurological impairment are development risk factors for the PSD at 6 months of acute stroke.
8.Outcomes at discharge of preterm infants born <34 weeks' gestation.
Ning Xin LUO ; Si Yuan JIANG ; Yun CAO ; Shu Jun LI ; Jun Yan HAN ; Qi ZHOU ; Meng Meng LI ; Jin Zhen GUO ; Hong Yan LIU ; Zu Ming YANG ; Yong JI ; Bao Quan ZHANG ; Zhi Feng HUANG ; Jing YUAN ; Dan Dan PAN ; Jing Yun SHI ; Xue Feng HU ; Su LIN ; Qian ZHAO ; Chang Hong YAN ; Le WANG ; Qiu Fen WEI ; Qing KAN ; Jin Zhi GAO ; Cui Qing LIU ; Shan Yu JIANG ; Xiang Hong LIU ; Hui Qing SUN ; Juan DU ; Li HE
Chinese Journal of Pediatrics 2022;60(8):774-780
Objective: To investigate the incidence and trend of short-term outcomes among preterm infants born <34 weeks' gestation. Methods: A secondary analysis of data from the standardized database established by a multicenter cluster-randomized controlled study "reduction of infection in neonatal intensive care units (NICU) using the evidence-based practice for improving quality (REIN-EPIQ) study". This study was conducted in 25 tertiary NICU. A total of 27 192 infants with gestational age <34 weeks at birth and admitted to NICU within the first 7 days of life from May 2015 to April 2018 were enrolled. Infants with severe congenital malformation were excluded. Descriptive analyses were used to describe the mortality and major morbidities of preterm infants by gestational age groups and different admission year groups. Cochran-Armitage test and Jonckheere-Terpstra test were used to analyze the trend of incidences of mortality and morbidities in 3 study-years. Multiple Logistic regression model was constructed to analyze the differences of outcomes in 3 study-years adjusting for confounders. Results: A total of 27 192 preterm infants were enrolled with gestational age of (31.3±2.0) weeks at birth and weight of (1 617±415) g at birth. Overall, 9.5% (2 594/27 192) of infants were discharged against medical advice, and the overall mortality rate was 10.7% (2 907/27 192). Mortality for infants who received complete care was 4.7% (1 147/24 598), and mortality or any major morbidity was 26.2% (6 452/24 598). The incidences of moderate to severe bronchopulmonary dysplasia, sepsis, severe intraventricular hemorrhage or periventricular leukomalacia, proven necrotizing enterocolitis, and severe retinopathy of prematurity were 16.0% (4 342/27 192), 11.9% (3 225/27 192), 6.8% (1 641/24 206), 3.6% (939/25 762) and 1.5% (214/13 868), respectively. There was a decreasing of the overall mortality (P<0.001) during the 3 years. Also, the incidences for sepsis and severe retinopathy of prematurity both decreased (both P<0.001). However, there were no significant differences in the major morbidity in preterm infants who received complete care during the 3-year study period (P=0.230). After adjusting for confounders, infants admitted during the third study year showed significantly lower risk of overall mortality (adjust OR=0.62, 95%CI 0.55-0.69, P<0.001), mortality or major morbidity, moderate to severe bronchopulmonary dysplasia, sepsis and severe retinopathy of prematurity, compared to those admitted in the first study year (all P<0.05). Conclusions: From 2015 to 2018, the mortality and major morbidities among preterm infants in Chinese NICU decreased, but there is still space for further efforts. Further targeted quality improvement is needed to improve the overall outcome of preterm infants.
Bronchopulmonary Dysplasia/epidemiology*
;
Gestational Age
;
Humans
;
Infant
;
Infant Mortality/trends*
;
Infant, Newborn
;
Infant, Premature
;
Infant, Premature, Diseases/epidemiology*
;
Patient Discharge
;
Retinopathy of Prematurity/epidemiology*
;
Sepsis/epidemiology*
9.High expression of folate receptor alpha is associated with poor prognosis in patients with cervical cancer
Shu YAZAKI ; Yuki KOJIMA ; Hiroshi YOSHIDA ; Shigemasa TAKAMIZAWA ; Rui KITADAI ; Tadaaki NISHIKAWA ; Tatsunori SHIMOI ; Kazuki SUDO ; Ayumi SAITO ; Hitomi Sumiyoshi OKUMA ; Maki TANIOKA ; Emi NOGUCHI ; Masaya UNO ; Mitsuya ISHIKAWA ; Tomoyasu KATO ; Yasuhiro FUJIWARA ; Yuichiro OHE ; Kan YONEMORI
Journal of Gynecologic Oncology 2022;33(6):e82-
Objective:
Folate receptor α (FRα) is a membrane protein expressed in various solid tumors but has limited expression in normal cells. Therefore, FRα is an attractive target for cancer treatment. This study aimed to investigate the relationship between FRα expression and the clinicopathological characteristics and survivals of cervical cancer.
Methods:
This retrospective study included patients with cervical cancer who underwent primary surgery between 2000 and 2020 at our institution. Immunohistochemical staining of FRα was performed using an anti-folate-binding protein/FBP antibody. FRα-positive staining was defined as ≥5% of tumor staining and FRα-high as ≥50% tumor staining with ≥2+ intensity. The association between FRα expression and survival was assessed using multivariate Cox regression analysis, adjusting for established prognostic factors.
Results:
Overall, 123 patients were identified, and 140 tumor samples, including 17 paired primary and metastatic samples, were evaluated. As histological types, 67 patients had squamous cell carcinoma (SCC), and 56 patients had non-SCC. All primary tumors were FRα-positive. High FRα expression was observed in 25% of the cases and differed according to histology (SCC vs. non-SCC, 14.9% vs. 37.5%, p=0.004). FRα expression was significantly higher in metastatic tumors than in primary (170 [IQR, 140–205] vs. 125 [IQR, 110–150], p=0.0006). High FRα expression was significantly associated with worse overall survival (hazard ratio, 6.73; 95% confidence interval, 2.21–20.53; p=0.001).
Conclusion
In cervical cancer, FRα expression was elevated in metastatic tumors and high expression was associated with a worse prognosis. Our study supports the development of FRα-targeted therapy for advanced cervical cancer.

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