With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective To understand the current status of work-related musculoskeletal disorders (WMSDs) among operating room doctors,thereby analyzing its effect on mental health. Methods A total of 1013 doctors in the operating rooms of 30 hospitals in 24 provinces from September to December 2022 were selected by cross-sectional survey method. The domestic musculoskeletal disease questionnaire was used to investigate the occurrence of WMSDs in operating room doctors,the symptom check list-90 (SCL-90) was used to evaluate the psychological status of operating room doctors,the relationship between WMSDs related items and SCL-90 scores was analyzed,the correla-tion between the rest time of each shift and SCL-90 factors was analyzed by Pearson method,and the influencing factors of mental health of operating room doctors were analyzed by multivariate Logistic regression.Results A total of 1100 questionnaires were distributed and 1013 valid questionnaires were recovered,with an effective rate of 92.10％. The incidence of WMSDs among operating room doctors in the past 1 year was 95.06％. The body parts with incidences of WMSDs from high to low were as follows:waist (36.92％),neck (35.54％),shoulder (33.56％),and upper back (32.77％). In the past 1 year,the SCL-90 scores and total scores of patients with musculoskeletal pain in various body parts,keeping the same back posture for a long time while work,bending the back at the same time of turning frequently while working,bowing the head for a long time while working,and bending the knee for a long time while working were significantly higher than those who were without the above conditions (P<0.05). Shorter rest time of each shift and longer periods of keeping the same back posture were the risk factors for the development of mental illness in operating room doctors. Conclusion The incidence of WMSDs in operating room doctors is high,which can influence the mental health of operating room doctors. Therefore,operating room doctors should avoid keeping the same back posture for a long time,bending the back at the same time of turning frequently,bowing the head for a long time,and bending the knee for a long time while working,and increase the rest time of each shift,in order to improve the mental condition of the operating room doctors.

Based on ultra-high performance liquid chromatography-quadrupole-Exactive Orbitrap mass spectrometry(UPLC-Q-Exactive Orbitrap-MS) technology and network pharmacology, this study explored the pharmacodynamic substances and potential mechanisms of Huazhuo Sanjie Chubi Decoction in the treatment of gouty arthritis(GA). UPLC-Q-Exactive Orbitrap-MS technology was used to identify the components in Huazhuo Sanjie Chubi Decoction, and the qualitative analysis of its active ingredients was carried out, with a total of 184 active ingredients identified. A total of 897 active ingredient targets were screened through the PharmMapper database, and 491 GA-related disease targets were obtained from the OMIM, GeneCards, CTD databases. After Venn analysis, 60 intersecting targets were obtained. The component target-GA target network was constructed through the Cytoscape platform, and the STRING database was used to construct a protein-protein interaction network, with 16 core targets screened. The core targets were subjected to Gene Ontology(GO) and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analyses, and the component-target-pathway network was constructed. It was found that the main active ingredients of the formula for the treatment of GA were phenols, flavonoids, alkaloids, and terpenoids, and the key targets were SRC, MMP3, MMP9, REN, ALB, IGF1R, PPARG, MAPK1, HPRT1, and CASP1. Through GO analysis, it was found that the treatment of GA mainly involved biological processes such as lipid response, bacterial response, and biostimulus response. KEGG analysis showed that the pathways related to the treatment of GA included lipids and atherosclerosis, neutrophil extracellular traps(NETs), IL-17, and so on. In summary, phenols, flavonoids, alkaloids, and terpenoids may be the core pharmacodynamic substances of Huazhuo Sanjie Chubi Decoction in the treatment of GA, and the pharmacodynamic mechanism may be related to SRC, MMP3, MMP9, and other targets, as well as lipids and atherosclerosis, NETs, IL-17, and other pathways.
Drugs, Chinese Herbal/therapeutic use* ; Network Pharmacology ; Arthritis, Gouty/metabolism* ; Chromatography, High Pressure Liquid/methods* ; Humans ; Mass Spectrometry/methods* ; Protein Interaction Maps/drug effects*

BACKGROUND: Non-invasive computed tomography angiography (CTA)-based fractional flow reserve (CT-FFR) could become a gatekeeper to invasive coronary angiography. Deep learning (DL)-based CT-FFR has shown promise when compared to invasive FFR. To evaluate the performance of a DL-based CT-FFR technique, DeepVessel FFR (DVFFR). METHODS: This retrospective study was designed for iScheMia Assessment based on a Retrospective, single-center Trial of CT-FFR (SMART). Patients suspected of stable coronary artery disease (CAD) and undergoing both CTA and invasive FFR examinations were consecutively selected from the Beijing Anzhen Hospital between January 1, 2016 to December 30, 2018. FFR obtained during invasive coronary angiography was used as the reference standard. DVFFR was calculated blindly using a DL-based CT-FFR approach that utilized the complete tree structure of the coronary arteries. RESULTS: Three hundred and thirty nine patients (60.5 ±10.0 years and 209 men) and 414 vessels with direct invasive FFR were included in the analysis. At per-vessel level, sensitivity, specificity, accuracy, positive predictive value (PPV) and negative predictive value (NPV) of DVFFR were 94.7%, 88.6%, 90.8%, 82.7%, and 96.7%, respectively. The area under the receiver operating characteristics curve (AUC) was 0.95 for DVFFR and 0.56 for CTA-based assessment with a significant difference (P < 0.0001). At patient level, sensitivity, specificity, accuracy, PPV and NPV of DVFFR were 93.8%, 88.0%, 90.3%, 83.0%, and 95.8%, respectively. The computation for DVFFR was fast with the average time of 22.5 ± 1.9 s. CONCLUSIONS The results demonstrate that DVFFR was able to evaluate lesion hemodynamic significance accurately and effectively with improved diagnostic performance over CTA alone. Coronary artery disease (CAD) is a critical disease in which coronary artery luminal narrowing may result in myocardial ischemia. Early and effective assessment of myocardial ischemia is essential for optimal treatment planning so as to improve the quality of life and reduce medical costs.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective To understand the current status of work-related musculoskeletal disorders (WMSDs) among operating room doctors,thereby analyzing its effect on mental health. Methods A total of 1013 doctors in the operating rooms of 30 hospitals in 24 provinces from September to December 2022 were selected by cross-sectional survey method. The domestic musculoskeletal disease questionnaire was used to investigate the occurrence of WMSDs in operating room doctors,the symptom check list-90 (SCL-90) was used to evaluate the psychological status of operating room doctors,the relationship between WMSDs related items and SCL-90 scores was analyzed,the correla-tion between the rest time of each shift and SCL-90 factors was analyzed by Pearson method,and the influencing factors of mental health of operating room doctors were analyzed by multivariate Logistic regression.Results A total of 1100 questionnaires were distributed and 1013 valid questionnaires were recovered,with an effective rate of 92.10％. The incidence of WMSDs among operating room doctors in the past 1 year was 95.06％. The body parts with incidences of WMSDs from high to low were as follows:waist (36.92％),neck (35.54％),shoulder (33.56％),and upper back (32.77％). In the past 1 year,the SCL-90 scores and total scores of patients with musculoskeletal pain in various body parts,keeping the same back posture for a long time while work,bending the back at the same time of turning frequently while working,bowing the head for a long time while working,and bending the knee for a long time while working were significantly higher than those who were without the above conditions (P<0.05). Shorter rest time of each shift and longer periods of keeping the same back posture were the risk factors for the development of mental illness in operating room doctors. Conclusion The incidence of WMSDs in operating room doctors is high,which can influence the mental health of operating room doctors. Therefore,operating room doctors should avoid keeping the same back posture for a long time,bending the back at the same time of turning frequently,bowing the head for a long time,and bending the knee for a long time while working,and increase the rest time of each shift,in order to improve the mental condition of the operating room doctors.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*

This study aims to explore the mechanism of Zhuanggu Jianxi Decoction in reducing synovial tissue inflammation in human knee osteoarthritis(KOA) via the liver X receptors(LXRs)/nuclear factor(NF)-κB signaling pathway. The synovial tissue samples were collected from 5 healthy volunteers and 30 KOA synovitis patients and cultured in vitro. The samples from the heathy volunteers were set as the normal group, and those from KOA synovitis patients were randomized into synovitis, Zhuanggu Jianxi Decoction, LXRα inhibitor, and N-CoR inhibitor groups. The synovitis tissue samples of the 5 groups were treated with 10% blank serum, 10% blank serum, 10% drug-containing serum, 10% drug-containing serum+LXRα inhibitor, and 10% drug-containing serum+N-CoR inhibitor, respectively, for 7 days. After intervention, the synovial tissue samples of each group were collected and stained with hematoxylin-eosin for observation and scoring of the pathological changes. The expression intensity of the fibroblast-specific marker α-smooth musle actin(α-SMA) in the synovial tissue was observed by immunofluorescence staining. The levels of interleukin-1β(IL-1β), tumor necrosis factor-α(TNF-α), matrix metalloproteinase-3(MMP-3), and matrix metalloproteinase-13(MMP-13) in the supernatant of synovium homogenate were determined by ELISA. The mRNA and protein levels of LXRα, N-CoR, P50, and P65 in the synovial tissue were determined by RT-qPCR and Western blot, respectively. The results showed that compared with the normal group, the synovitis group showcased obvious synovial lining cell proliferation, inflammatory cell infiltration, synovial cell disarrangement, increased histopathological score(P<0.05), enhanced α-SMA fluorescence intensity and increased number of synovial fibroblasts(P<0.05), elevated levels of IL-1β, TNF-α, MMP-3, and MMP-13 in the synovial tissue(P<0.05), down-regulated mRNA and protein levels of LXRα and N-CoR, and up-regulated mRNA and protein levels of P50 and P65(P<0.05). Compared with the synovitis group, the Zhuanggu Jianxi Decoction group showed alleviated pathological changes, declined histopathological score of the synovial tissue(P<0.05), decreased α-SMA fluorescence intensity and number of synovial fibroblasts(P<0.05), lowered levels of IL-1β, TNF-α, MMP-3, and MMP-13(P<0.05), up-regulated mRNA and protein levels of LXRα and N-CoR, and down-regulated mRNA and protein levels of P50 and P65(P<0.05) in the synovial tissue. Compared with the Zhuanggu Jianxi Decoction group, the LXRα inhibitor group and N-CoR inhibitor group showed aggravated pathological changes, risen histopathological score of the synovial tissue(P<0.05), enhanced α-SMA fluorescence intensity and increased number of synovial fibroblasts(P<0.05), elevated levels of IL-1β, TNF-α, MMP-3, and MMP-13(P<0.05), down-regulated mRNA and protein levels of LXRα and N-CoR, and up-regulated mRNA and protein levels of P50 and P65(P<0.05). The results above indicated that Zhuanggu Jianxi Decoction could alleviate the synovial tissue inflammation in KOA patients by upregulating the mRNA and protein levels of LXRα and N-CoR in the LXRs/NF-κB pathway to downregulate the mRNA and protein levels of P50 and P65 and reduce the activity of the NF-κB pathway in the synovial tissue.
Humans ; Osteoarthritis, Knee/metabolism* ; Drugs, Chinese Herbal/administration & dosage* ; Signal Transduction/drug effects* ; Male ; Liver X Receptors/immunology* ; Middle Aged ; NF-kappa B/metabolism* ; Female ; Synovial Membrane/metabolism* ; Aged ; Adult

AIM: To investigate the application value of Worst lacrimal probe combined with modified lacrimal duct intubation in anastomosis of complex canalicular laceration.METHODS: Retrospective study. A total of 68 cases(68 eyes)with complex traumatic canalicular laceration treated in the ophthalmology department of the Second Affiliated Hospital of Zunyi Medical University from March 1, 2019 to March 31, 2021 were selected. They were divided into two groups according to the surgical methods, with 36 patients(36 eyes)who were treated with the Worst lacrimal probe to find the broken end of lacrimal duct combined with improved lacrimal duct threading intubation in group A, and 32 patients(32 eyes)who were treated with microscope to find the broken end of lacrimal duct and two-way intubation anastomosis canaliculus intubation in group B. The clinical efficacy, success rate of intraoperative search for the broken end of lacrimal duct, searching time, operation time, the degree of pain, postoperative ocular foreign body sensation and complications were compared between the two groups.RESULTS: The total effective rate of clinical efficacy in patients of group A was higher than that in group B(94% vs. 38%), the success rate of intraoperative search for broken end of lacrimal duct was higher than that in group B(100% vs. 47%), the searching time and operation time were shorter than those in group B, and the score of pain degree was lower than that in group B(all P<0.05). The postoperative follow-up for 6mo-1a showed that the ocular foreign body sensation score, the incidence of lacrimal punctum rupture and morphological change, and the degree of tear overflow in group A were all lower than those in group B(all P<0.05).CONCLUSION: Worst lacrimal probe combined with modified lacrimal duct intubation for the treatment of complex traumatic canalicular laceration can find the broken end of lacrimal duct more accurately, shorten the operation time, reduce the pain and foreign body sensation of patients, improve clinical efficacy and reduce the incidence of complications.

ObjectiveTo evaluate the expression level of DNA damage repair gene FANCI in hepatocellular carcinoma （HCC） and its relationship with prognosis， clinical stage and immune infiltration. MethodsIn this study， TCGA， GTEx， TIMER2.0， HPA database and qRT-PCR， western blot and immunohistochemistry were used to analyze the expression of FANCI in HCC and its correlation with different clinical stages； Kaplan-Meier Plotter database was used to explore the relationship between FANCI and the prognosis of HCC； the TISIDB database was used to analyze the relationship between FANCI and immune cell infiltration and immune checkpoints in HCC； the STRING database was used to detect the protein binding with FANCI； the TCGA and GTEx databases were used for GO and KEGG enrichment analysis； Cell experiments were used to explore the role of FANCI in HCC. ResultsCompared with normal tissues， the mRNA and protein expression levels of FANCI in tumor tissues were up-regulated （P<0.001）； and HCC patients with high expression of FANCI had poor prognosis （P<0.001）； the expression of FANCI in tumor tissues was positively correlated with the number of activated CD4⁺ T cells， the number of Th2 cells and the expression of immune checkpoints， and B-cell and macrophage infiltration was significantly lower in the FANCI high expression group （P<0.01）； GO and KEGG enrichment analysis showed that FANCI-related genes were enriched in various biological processes such as amino acid transmembrane transporter activity； Cell experiments showed that knockdown of FANCI could inhibit the proliferation， invasion and migration of HCC （P<0.05）. ConclusionsFANCI is highly expressed in hepatocellular carcinoma tissues， which may play a role in suppressing anti-tumor immunity and acting on pathways such as amino acid transmembrane transport， and is associated with poor prognosis. The proliferation， invasion and migration ability of hepatocellular carcinoma are inhibited after knocking down FANCI.