ObjectiveTo investigate the expression of scaffold protein PDLIM5 in multiple sclerosis （MS） patients and the mouse microglial cell line BV2， and to explore its effects on the phagocytosis of microglial cells. MethodsPeripheral blood samples were collected from 24 MS patients and 6 healthy volunteers as controls. The expression levels of PDLIM5 were detected by real-time quantitative PCR. A neuroinflammation cell model was established by treating the mouse microglial cell line BV2 with lipopolysaccharide （LPS， 1 µg/mL）. The expression levels of PDLIM5 were measured by Western Blot. The effect of PDLIM5 expression on phagocytosis was analyzed by transfecting BV2 cells with PDLIM5 shRNA plasmids or PDLIM5 overexpression plasmids. ResultsReal-time quantitative PCR results showed that compared with the healthy control group， the expression level of PDLIM5 from the MS patients was significantly increased in monocytes ［2.78 （0.70-6.86） vs. 0.54 （0.39-1.51）， P=0.036］ and lymphocytes ［1.62 （0.90-2.26） vs. 0.11 （0.05-0.21）， P<0.001］. Western Blot results indicated that PDLIM5 expression was significantly upregulated in BV2 cells following LPS stimulation （P<0.05）. Plasmid transfection experiments demonstrated that knockdown of PDLIM5 inhibited the phagocytic capacity of BV2 cells as measured by trypan blue uptake （P<0.05）， while overexpression of PDLIM5 enhanced the phagocytic ability of BV2 cells （P<0.001）. ConclusionUnder neuroinflammatory conditions， PDLIM5 expression is elevated， and this upregulation promotes the phagocytosis of microglial cell.

This paper reviews the published articles of recent years on the application of deep learning methods in automatic localization of acupoint, and summarizes it from 3 key links, i.e. the dataset construction, the neural network model design, and the accuracy evaluation of acupoint localization. The significant progress has been obtained in the field of deep learning for acupoint localization, but the scale of acupoint detection needs to be expanded and the precision, the generalization ability, and the real-time performance of the model be advanced. The future research should focus on the support of standardized datasets, and the integration of 3D modeling and multimodal data fusion, so as to increase the accuracy and strengthen the personalization of acupoint localization.
Deep Learning ; Acupuncture Points ; Humans ; Neural Networks, Computer

OBJECTIVES: Intracranial aneurysm (IA) has an insidious onset, and once ruptured, it carries high rates of mortality and disability. Cardiometabolic factors may be associated with the formation and rupture of IA. This study aims to summarize the application of Mendelian randomization (MR) methods in research on cardiometabolic factors and IA, providing insights for further elucidation of IA etiology and pathogenesis. METHODS: Literature about MR-based IA studies published up to February 21, 2024, was retrieved from PubMed, Embase, Web of Science, CNKI, and Wanfang. Two researchers independently performed literature screening, data extraction, and quality assessment. A narrative synthesis approach was used to conduct a qualitative systematic review of the included studies. RESULTS: A total of 11 MR-based studies on IA published between 2017 to 2024 were included, of which 4 were rated as high quality. These studies investigated the associations between blood pressure, blood lipids, blood glucose, obesity-related indicators, and inflammatory cytokines with IA and its subtypes, though issues of duplication were noted. Four MR studies based on the same European population but using different instrumental variable selection criteria, as well as another MR study in a different European cohort, consistently identified blood pressure as a risk factor for IA and its subtypes. Findings for blood lipids, blood glucose, obesity-related indicators, and inflammatory cytokines were inconsistent across MR studies. CONCLUSIONS Blood pressure appears to increase the risk of IA and its subtypes. Associations between other cardiometabolic factors and IA/subtypes require further in-depth investigation. Given the inherent limitations of MR studies, causal inferences should be made cautiously in combination with other lines of evidence.
Humans ; Mendelian Randomization Analysis ; Intracranial Aneurysm/etiology* ; Risk Factors ; Blood Pressure ; Blood Glucose ; Obesity/complications* ; Cardiometabolic Risk Factors ; Lipids/blood*

Objective To investigate the impact of positive antinuclear antibody(ANA)and subsequent interven-tion therapy on the assisted reproductive technology outcomes among the patients experiencing recurrent implanta-tion failure(RIF).Methods A retrospective study was conducted on 344 RIF patients.Based on ANA test re-sults,the patients were divided into ANA-positive group(294 cases)and negative control group(50 cases).The ANA-positive group was further divided into a low titer group(214 cases)and a high titer group(80 cases).Com-parative statistical analyses such as the Wilcoxon rank-sum test,Mann-Whitney U test,Kruskal-Wallis test and chi-square test,etc.were employed to evaluate differences in general clinical data,embryo-related parameters,and pregnancy outcomes between the positive and negative groups.The impact of ANA on the assisted reproductive out-comes of patients with recurrent implantation failure was analyzed,and the outcomes of ANA-positive patients after intervention therapy were also analyzed.Results Notably,the clinical pregnancy rates of patients in the ANA-pos-itive low titer group and high titer group were significantly lower than those in the negative control group(P＜0.001).Similarly,the rates of fertilization and cleavage of oocytes in ANA-positive patients were also significantly lower than those in the negative control group(P＜0.05).For patients who did not achieve pregnancy after embryo transfer due to ANA positivity,immunomodulatory therapy significantly improved both the clinical pregnancy rate and cumulative clinical pregnancy rate(P＜0.05).Conclusion Compared with the negative control group,the clinical pregnancy rates decrease in both ANA-positive low titer subgroup and high titer subgroup.However,clini-cal intervention therapy enhances the single-cycle clinical pregnancy and cumulative pregnancy rates among ANA-positive patients,indicating that ANA positivity is an important factor in RIF.Immunomodulatory therapy is an ef-fective measure to improve recurrent implantation failure among ANA-positive patients.

Objective To investigate the role and existing dilemmas of policies related to traditional Chinese medicine talents in China in terms of their growth paths and attitudes towards existing policies.Methods A questionnaire survey was conducted to investigate the current situation of the development of traditional Chinese medicine talents and their views on the existing policies.Results 278 valid questionnaires were collected.In general,traditional Chinese medicine talents are quite satisfied with the current talent policy,the interviewees with senior professional titles have a better understanding of the talent policy,and the young members and members of the Chinese society of traditional Chinese medicine have a more positive and urgent attitude towards building a talent policy and evaluation index system with traditional Chinese medicine characteristics.Respondents generally believe that the current financial support for talent projects of traditional Chinese medicine is average,but it can stimulate the growth of young scholars.The title of talents and the achievements of scholars'scientific research complement each other.Conclusion In the process of the development of the field of traditional Chinese medicine,we should speed up the training of innovative talents of traditional Chinese medicine,establish talent evaluation indicators with traditional Chinese medicine characteristics,improve the evaluation and project management system of traditional Chinese medicine talents,and reasonably optimize the incentive mechanism brought by the title of talents.

Objective:To explore the utilization of cancer-related data from basic medical insurance databases in China, and promote the application of medical insurance data in cancer prevention and treatment.Methods:Database PubMed, Web of Science, Wanfang, and CNKI were used to select related research papers using data from basic medical insurance system in China published by December 2021. Descriptive analysis was conducted in terms of the number of publications, types of cancer, primary research contents and author affiliations.Results:A total of 65 papers were included in the study. The number of publications increased rapidly after 2016. The most studied cancer type was lung cancer, and healthcare costs were the most common research contents. Fujian, Beijing, and Anhui have made a better use of cancer-related medical insurance databases compared to other provincial regions. The accessibility of the New Rural Cooperative Medical Scheme data was limited due to the high regional barriers, while the accessibility of the urban basic medical insurance data was relatively high. The researchers from Peking University and Fudan University had higher utilization of basic medical insurance data compared with those from other institutions.Conclusions:The utilization of cancer-related data from basic medical insurance databases in China is limited because of poor accessibility, insufficient data sharing, and regional restrictions. Thus, it is urgent to improve data accessibility and promote the integration and utilization of regional medical insurance data.

Background: and Purpose Patients presenting with clinical characteristics that are strongly suggestive of neuromyelitis optica spectrum disorders (NMOSD) have a high risk of developing definite NMOSD in the future. Little is known about the clinical course, treatment, and prognosis of these patients with likely NMOSD at disease onset. Methods: This study prospectively recruited and visited 24 patients with the limited form of NMOSD (LF-NMOSD) at disease onset from November 2012 to June 2021. Their demographics, clinical course, longitudinal aquaporin-4 immunoglobulin G (AQP4-IgG) serology, MRI, therapeutic management, and outcome data were collected and analyzed. Results: The onset age of the cohort was 38.1±12.0 years (mean±standard deviation). The median disease duration was 73.5 months (interquartile range=44.3–117.0 months), and the follow-up period was 54.2±23.8 months. At the end of the last visit, the final diagnosis was categorized into AQP4-IgG-seronegative NMOSD (n=16, 66.7%), AQP4-IgG-seropositive NMOSD (n=7, 29.2%), or multiple sclerosis (n=1, 4.2%). Seven of the 24 patients (29.2%) experienced conversion to AQP4-IgG seropositivity, and the interval from onset to this serological conversion was 37.9±21.9 months. Isolated/mixed area postrema syndrome (APS) was the predominant onset phenotype (37.5%). The patients with isolated/mixed APS onset showed a predilection for conversion to AQP4-IgG seropositivity. All patients experienced a multiphasic disease course, with immunosuppressive therapy reducing the incidence rates of clinical relapse and residual functional disability. Conclusions Definite NMOSD may be preceded by LF-NMOSD, particularly isolated/ mixed APS. Intensive long-term follow-up and attack-prevention immunotherapeutic management is recommended in patients with LF-NMOSD.

Facing the challenge of the COVID-19 epidemic to the classroom teaching, the physiology teaching team of Qiqihar Medical University constructed a blended teaching model based on "small private online course (SPOC)+ live real audio" to carry out online teaching. Through the joint efforts of all team members, the online teaching has been carried out in a stable order for 4 weeks, thus ensuring the teaching effect of physiology. Taking the physiology teaching of 236 nursing undergraduates in Batch 2019 as an example, this paper introduces the teaching design, implementation measures, teaching effect and teaching reflection of carrying out online teaching under the epidemic situation, and provides practical experience for further promoting online teaching in medical colleges and universities during epidemic prevention and control.

  Objective  To investigate the clinical features of autoimmune glial fibrillary acidic protein (GFAP) astrocytopathy.  Methods  We collected and analyzed the clinical and laboratory data and obtained the clinical characteristics of diagnosis and treatment from fifteen patients with positive GFAP antibody tested by cerebrospinal fluid and diagnosed autoimmune GFAP astrocytopathy by the multi-centers.  Results  The mean age of the first onset of autoimmune GFAP astrocytopathy was 39.73 years old (range 4-65 years), with no significant gender difference. In terms of clinical manifestations, we found the whole brain symptoms including abnormal mental behavior, disturbance of consciousness, epileptic attack accounting for more than 50, , meningitis accounting for 66.7%, myelitis (53.3%), limb tremor (53.3%), vision loss (33.3%); systemic symptoms including fever(100%) and fatigue(86.7%). 46.7% of patients were initially diagnosed with tuberculous meningoencephalitis and were treated with diagnostic antituberculous therapy. The MRI showed 46.7% of patients showed brain linear perivascular radial gadolinium enhancement in the white matter perpendicular to the ventricle.  Conclusions  Autoimmune GFAP astrocytopathy are acute or subacute dieases and the main clinical features include encephalitis, meningitis, myelitis and optic neuritis. They are likely to be misdiagnosed as tuberculous meningoencephalitis and can manifest progressive loss of consciousness in early phase, which is even life threatening.

Background & Objective: Disease-modifying treatments (DMTs) for multiple sclerosis (MS) are widely used in Western countries. In China, however, the current treatment patterns of MS patients are not well characterized. This is to explore the gap between the current treatments in Guangzhou, Southern China and those given in Western countries. Methods: We performed a survey of MS patients at department of neurology, a tertiary MS referral centre in Guangzhou, concerning treatments of MS in Southern China. The clinical data in patients were collected. The initial treatment, drug withdrawal or switching profile, and therapeutic effect of existing treatments in MS patients were analyzed. Results: The ratio of MS patients who receive DMTs in Guangzhou China is extremely low. Among the 178 patients studied, only 28.09% received initial treatment with DMTs. MS patients who receive initial treatment with first-line DMTs have higher drug withdrawal rates (32.6%) and drug switching rates (30.43%) than those of western populations. The main reasons for withdrawal of first-line DMTs were doctor’s advice (maintenance of remission) (40.00%), economic burden(20.00%), and no channels to buy drugs(13.33%). In MS patients initially treated with first-line DMTs who switched to other drugs, a gap between treatments was common (8/14;57.14%). There were 18 patients with highly active MS receiving treatment with rituximab. Annual relapse rate after treatment significantly decreased than that before treatment (0.74 vs. 1.50 , P < 0.001). Conclusions: DMTs for MS in Guangzhou, Southern China appear to lag behind those in Western countries. Much work is needed to improve drug accessibility and affordability of DMTs in China. Rituximab is an option for highly active MS in limited medical-resource countries.