To analyze the clinical and genetic features of oculopharyngodistal myopathy (OPDM) patients and compare the phenotypic differences among various causative genes.

ObjectiveTo investigate the status and influencing factors of latent tuberculosis infection (LTBI) among close contacts of patients with bacteriologically confirmed pulmonary tuberculosis in Jing’an District, Shanghai, and to provide scientific evidence for the development of tuberculosis infection testing and preventive intervention strategies for close contacts of bacteriologically positive patients. MethodsFrom October 2022 to October 2023, patients with bacteriological confirmed pulmonary tuberculosis registered in Jing’an District, Shanghai, and their close contacts were enrolled as the research subjects. The close contacts were screened for tuberculosis infection using the interferon-γ release assay (IGRA). The chi-square test and binary logistic regression model were used to analyze factors influencing LTBI. ResultsA total of 112 close contacts were included, of whom 30 (26.79%) were male and 82 (73.21%) were female. The age ranged from 1 to 86 years, with a median (25th, 75th percentiles) of 47.50 (32.25, 61.00) years. The infection rate of LTBI was 21.43% (24/112), and the incidence of active pulmonary tuberculosis was 2.68% (3/112). Univariate analyses showed that a positive sputum smear of the index case, being a direct relative of the index case, co-living, and not wearing a mask were significantly associated with LTBI (all P<0.05). Multivariate logistic regression analyses showed that the risk of latent infection in close contacts of the index case with a positive sputum smear was 6.50 times higher than in those with a negative sputum smear (95%CI: 1.82‒23.25, P=0.004). ConclusionThe infection rate of LTBI in close contacts of patients with bacteriologically confirmed pulmonary tuberculosis in Jing’an District, Shanghai, is relatively high, and close contacts of sputum smear-positive patients face an even higher risk of infection. Therefore, tuberculosis infection screening and follow-up management should be strengthened for this population.

Objective:To evaluate the association between heatwaves and fall-related mortality.Methods:A total of 61 421 fall-related mortality from 2013 to 2022 in 7 provinces of China were included in a time-stratified case-crossover design, with daily meteorological data derived from the fifth generation European Reanalysis dataset produced by the European Centre for Medium-Range Weather Forecasts. Conditional logistic regression chimeric distributed lag nonlinear model was used to analyze the association between heatwaves and fall-related mortality and stratified analysis was conducted according to gender and age.Results:Heatwaves were associated with an increased risk of fall-related morality. The risk of fall-related mortality during heatwaves was higher than during non-heatwave periods ( OR=1.11, 95% CI: 1.05-1.18). The attributable fraction of fall-related motality due to heatwaves was 10.25% (95% CI: 4.49%-15.36%). For each 1 ℃ increase above the heatwave threshold, the risk of fall-related mortality increased by 34% ( OR=1.34, 95% CI: 1.02-1.76). The effect of heatwave duration on fall-related mortality was not statistically significant. Stratified analyses indicated that women experienced a higher risk of fall-related mortality during heatwaves ( OR=1.13, 95% CI: 1.04-1.22) compared to man ( OR=1.10, 95% CI: 1.04-1.17). Conclusions:Heatwave increases the risk of fall-related mortality, and the intensity of heatwaves modify this risk. Women are vulnerable populations.

Objective To investigate the current status and experience of scientific research,attitude and demand for research training,and other research situations in military doctors with standardized training,to construct a targeted training system for research capacity of military general practitioners,and to explore the effect of the training system on the comprehensive research ability of military doctors.Methods Eighty-one military general practitioners who participated in the standardized training at The First Affiliated Hospital of Naval Medical University in 2022 were selected as research objects.A questionnaire-based survey was conducted among these doctors.SPSS 25.0 software was used to analyze the data obtained.The cultivation of research capacity included the training of basic research skills,advancement of reseach capacity,and the improvement of the assessment and incentive mechanism.Before and one year after the training,the research status,research attitude and demand,comprehensive research capacity,and mentor's evaluation for the research capacity were investigated.Results After one year of training,basic research skills and comprehensive research capacity of military general practitioners were significantly improved,mentor's evaluation was gradually improved,research achievements were significantly increased,training attitudes became more positive,and training needs changed.Conclusion The research capacity of military general practitioners has been significantly improved through the construction of training system of research capacity and continuous practice.

Objective Network pharmacology and molecular docking techniques were used to predict the potential mechanisms by which the active components of Piper nigrum(PN)regulate depressive-like behaviors in chronic restraint stress(CRS)mice.Methods The major chemical components and targets of PN were screened using the Traditional Chinese Medicine Systems Pharmacology database.Targets related to ferroptosis and depression were obtained from the Online Mendelian Inheritance in Man,GeneCards,and FerrDB databases.The intersecting targets were then subjected to Gene Ontology and Kyoto Encyclopedia of Genes and Gnomes(KEGG)pathway enrichment analyses,and molecular docking was performed to validate the binding capacities between the core targets and their corresponding active components.Finally,we established a CRS mouse model.Mice were treated with PN 75,150,and 300 mg/kg for 4 weeks,followed by behavioral assessments and reverse transcription-quantitative polymerase chain reaction(RT-qPCR)to verify the expression of core genes.Results Nine active components were screened from PN,corresponding to 27 targets,and 8377 targets related to depression and 547 targets associated with ferroptosis were screened from the databases.The intersection of these three sets resulted in 25 target genes.KEGG enrichment analysis revealed that these core targets were predominantly enriched in signaling pathways,including cholinergic synapses,serotonergic synapses,and neuroactive ligand-receptor interactions.Molecular docking result showed that the main active components of PN had strong binding affinities for the targets CHRM2,SLC6A4,PTGS2,and SLC6A2.Behavioral assessments demonstrated that PN significantly increased the sucrose preference index(P＜0.01,P＜0.001),reduced immobility time in the tail suspension and forced swimming tests(P＜0.01,P＜0.001),and enhanced exploratory behavior in the open field test(P＜0.05.P＜0.01,P＜0.001).PN significantly reduced the serum levels of inflammation markers(P＜0.05.P＜0.01,P＜0.001),as shown by enzyme-linked immunosorbent assay,and neurotransmitter analysis revealed that PN significantly increased the levels of serotonin and acetylcholine in the mouse hippocampus(P＜0.05).RT-qPCR showed that PN demonstrated the mRNA expression of SLC6A4(P＜0.05.P＜0.01,P＜0.001).Conclusions PN may improve depressive-like behavior in mice by modulating serotonin and acetylcholine levels,inhibiting inflammatory responses,participating in immune regulation,and exerting neuroprotective effects.

Objective: To establish a progressive research strategy for “colonic components analysis - efficacy verification and mechanism exploration - gut microbiota”, screen pharmacodynamic substances, and investigate their mechanism via gut microbiota. Methods: The pharmacodynamics of Gegen Qinlian decoction (GQD) were assessed using a mouse model of dextran sulfate sodium-induced ulcerative colitis (UC). Ultra-performance liquid chromatography-quadrupole-orbitrap mass spectrometer was used to identify the prototype and metabolic components of GQD in the colon during UC. To analyze the structure and function of characteristic genera of GQD and its active components, 16S rRNA sequencing was performed. Results: We identified 67 prototypic and 14 metabolic components of GQD in the UC colon. The primary prototype components are flavonoids and alkaloids, including puerarin (PUE), baicalin (BAI), and berberine (BER). The metabolism was predominantly sulfonation. Efficacy verification showed that the main active components, puerarin, baicalin, and berberine, had good therapeutic effects on UC. The results of 16S rRNA gene sequencing showed that GQD improved UC by regulating the structure and function of the gut microbiota. The abundance of gut microbiota involved in the metabolism of the prototype components was influenced by the corresponding components. The function prediction results showed that PUE was the most comparable to GQD, with 24 consistent pathways. BAI and BER showed comparable gut microbiota regulation pathways. Characteristic pathways of BER include glucometabolic processes. Conclusion This study focused on the key issues in the gut microbiota pathway and developed a progressive research strategy to understand the transformation mechanisms of colonic components. This research systematically analyzed the active components and metabolic transformation of GQD in the colon during the pathological state of UC, as well as changes in the structure and function of the gut microbiota, clarified the mechanism of GQD and its active components in improving UC via the gut microbiota pathway.

Objective:To examine the effect of antidepressant treatment on the longitudinal depressive burden in patients with bipolar depression.Methods:Subjects were recruited from a national multicenter, naturalistic observational project: Comprehensive Assessment and Follow-up Descriptive Study on Bipolar Disorder study (CAFE-BD). A total of 110 patients with bipolar depression (51 males, 59 females; aged 18-64 years, mean age 34.4±11.1 years) were consecutively enrolled between January 2012 and December 2013 from outpatients and inpatients of nine medical institutions, including six psychiatric hospitals and three general hospitals. Based on the use of antidepressants as defined in this study, patients were classified into a medicated group (Ads, n=74) and a non-medicated group (nAds, n=36). Diagnosis of bipolar depression was confirmed using the MINI (Chinese version), and baseline and follow-up assessments were conducted using the Assessment of Mood Disorders Evaluation (ADE) and the Clinical Monitoring Form (CMF). Depression burden indicators, including aggregate depression scores (SUM-D), number of depressive symptoms (NUM-D), and total depression burden, were compared between the Ads group and nAds group at mid-term (the 6 th month) and endpoint (the 12 nd month). Longitudinal changes in these indicators were also analyzed. Results:The proportion of bipolar depressive patients on antidepressants was 67% (74/110). Among them, 85% (63/74) were taking antidepressants at baseline; this dropped to 76% (56/74) at mid-term, and 64% (47/74) at the endpoint. SUM-D were higher in the Ads group than in the nAds group at baseline (9 (6.5, 11) vs 7.38 (5.5, 9.0); W=1 712.00, P=0.015), and there was no statistically significant difference in NUM-D and total depressive burden between two groups at any time points ( P>0.05). Compared to baseline, the Ads group had significantly lower SUM-D (0.5 (0, 1), 1.33 (0.5, 2.5) vs. 9 (6.5, 11); W=2 770.00, 2 743.00), NUM-D (0 (0, 0), 0 (0, 1) vs. 7 (5, 8); W=2 621.00, 2 601.50) and total depressive burden (c 2=64.36, 59.00) at both mid-term and endpoint (all P<0.001); While SUM-D (0.59 (0.4, 0.7), 1 (0.8, 2.5) vs. 7.38 (5.5, 9.0); W=664.50, W=666.00), NUM-D (0 (0, 0), 0 (0, 1) vs. 6 (4, 7); W=527.00, 528.00) and total depression burden ( χ 2=31.00, 31.00) in the nAds group were also significantly decreased at both mid-term and endpoint (all P<0.001). There were no statistically significant differences in the changes in depression burden indicators between the two groups from baseline to mid-follow-up or endpoint, nor from mid-follow-up to endpoint ( P>0.05). Conclusion:In a 12-month real-world naturalistic follow-up study, both medicated and non-medicated bipolar depression groups experienced significant and similar reductions in depression burden.

Objective:To report the clinical, imaging, and pathological features of a case of MYH7 gene-related scapuloperoneal myosin storage myopathy. Methods:Clinical data were collected from a patient with MYH7 gene-related scapuloperoneal myosin storage myopathy who presented to Peking University First Hospital in February 2025. The patient was evaluated with muscle magnetic resonance imaging, muscle biopsy, and whole-exome sequencing. Results:The patient was a 52-year-old female, with a 12-year history of progressive difficulty in foot dorsiflexion, exercise-induced fatigue, and lower limb pain. Over the past 3 years, she developed proximal upper limb weakness and post-exertional myalgia. Physical examination revealed scapuloperoneal weakness distribution accompanied by sensorineural hearing loss. Electromyography demonstrated myogenic changes in the deltoid and tibialis anterior muscles. Serum creatine kinase levels were within normal limits. Lower limb magnetic resonance imaging showed mild atrophy of the thigh muscles and significant fatty infiltration in the tibialis anterior, extensor hallucis longus, and extensor digitorum longus. Tibialis anterior muscle biopsy revealed dystrophic-like changes with sub-sarcolemmal hyaline bodies containing abundant granulofilamentous material. Whole exome sequencing identified a heterozygous pathogenic variant of c.5352_5354del(p.K1784del) in the MYH7 gene. Conclusions:This patient is the first reported one in China with MYH7 gene-related scapuloperoneal myosin storage myopathy, exhibiting characteristic scapuloperoneal weakness, selective fatty infiltration of the anterior lower leg muscles on imaging and sub-sarcolemmal hyaline body pathological changes. The diagnosis of this disease relies on characteristic pathological findings and genetic test results.

Objective:To explore the application value of the artificial intelligence (AI) morphological assisted analysis system in the pre-classification of blood cells in patients with acute myeloid leukemia, myelodysplasia-related (AML-MR).Methods:A retrospective analysis was conducted on the bone marrow and peripheral blood cell morphology of patients initially diagnosed with AML-MR at Taizhou Hospital in Zhejiang Province from September 1, 2022, to December 31, 2023. A total of 44 patients, including 25 males and 19 females, with a median age of 71 (63.5, 75.3) years. Bone marrow and peripheral blood morphology were examined using the Morphogo cell morphology assisted analysis system, with the artificial classification results serving as the gold standard. A confusion matrix was constructed to evaluate the precision, sensitivity, and specificity of the AI system in identifying various cell types in bone marrow and peripheral blood for AML-MR diagnosis. The impact of dysplastic hematopoiesis on AI pre-classification was analyzed by comparing AI and manual classification results.Results:The AI system completed the pre-classification of 44 bone marrow smears and 42 corresponding peripheral blood smears from AML-MR patients. For bone marrow smears, the precision, sensitivity, and specificity of AI in pre-classifying blast cells were 85.78%, 91.01%, and 94.58%, respectively. For peripheral blood smears, these values were 87.11%, 87.05%, and 98.29%, respectively. The precision and sensitivity of AI in pre-classifying promyelocytes were 54.26% and 46.93%, respectively, while for monocytes, they were 58.16% and 68.34%, both lower than those for blast cells. The precision and sensitivity of AI in identifying myelocytes and metamyelocytes also decreased (77.47%, 66.25% and 81.91%, 63.29%, respectively). The precision and sensitivity of AI in pre-classifying erythroblasts/proerythroblasts (67.71%, 69.89%) were lower than those for polychromatic and orthochromatic normoblasts (83.43%, 85.53% and 92.97%, 86.96%, respectively). The confusion matrix and comparative analysis of AI and manual classification indicated that the decline in AI pre-classification precision and sensitivity was due to frequent misclassification between promonocytes and monocytes, as well as between monocytes and promyelocytes. Additionally, this decline is associated with dysplasia. However, the impact of dysplasia on the AI pre-classification of mature-stage granulocytes was minimal.Conclusion:The AI system demonstrated high precision, sensitivity, and specificity in pre-classifying blast cells in bone marrow and peripheral blood smears from AML-MR patients. The AI-assisted morphological analysis system can be effectively utilized for the pre-classification of blood cells in AML-MR patients.