ObjectiveTo study the clinical characteristics and influencing factors of rheumatoid arthritis （RA） in the patients with cold dampness obstruction syndrome. MethodsThe RA patients treated in the Department of Traditional Chinese Medicine and Rheumatology of the China-Japan Friendship Hospital from August 2022 to June 2024 were selected. The demographic information， clinical data， laboratory test results， and traditional Chinese medicine （TCM） symptom information were collected for syndrome differentiation， on the basis of which the characteristics and influencing factors of cold dampness obstruction syndrome were analyzed. ResultsA total of 258 RA patients were selected in this study， including 88 （34.1%） patients with cold dampness obstruction syndrome， 53 （20.5%） patients with dampness and heat obstruction syndrome， 31 （12.0%） patients with wind dampness obstruction syndrome， 29 （11.2%） patients with liver-kidney deficiency syndrome， 19 （7.4%） patients with Qi-blood deficiency syndrome， 14 （5.4%） patients with phlegm-stasis obstruction syndrome， 15 （5.8%） patients with stasis obstructing collateral syndrome and 9 （3.5%） patients with Qi-Yin deficiency syndrome. The patients were assigned into two groups of cold dampness obstruction syndrome and other syndromes. The group of cold dampness obstruction syndrome had lower joint fever， 28-tender joint count （TJC28）， and 28-joint disease activity score （DAS28）-C-reactive protein （CRP） and higher central sensitization， cold feeling of joints， fear of wind and cold， cold limbs， and abdominal distention than the group of other syndromes （P<0.05）. The binary logistic regression analysis showed that central sensitization （OR 5.749， 95%CI 2.116-15.616， P<0.001） and DAS28-CRP （OR 0.600， 95% CI 0.418-0.862， P=0.006） were the independent factors influencing cold dampness obstruction syndrome in RA. ConclusionCold dampness obstruction syndrome is a common syndrome in RA patients. It is associated with central sensitization， cold feeling of joints， abdominal distension and may be a clinical syndrome associated with central sensitization.

[摘 要] 嵌合抗原受体基因修饰T细胞（CAR-T细胞）疗法是一种肿瘤免疫治疗方法：来自人体的T细胞在体外经遗传学修饰、表达特异性嵌合抗原受体（CAR），然后将其回输入患者体内，用于靶向识别和消除肿瘤细胞。尽管CAR-T细胞疗法在血液系统肿瘤治疗中取得了较为显著的成功，其在实体瘤治疗中仍面临障碍。细胞因子释放综合征（CRS）等免疫相关不良反应（irAE）制约了CAR-T细胞的安全应用，肿瘤相关抗原（TAA）的异质性限制了单一CAR-T细胞的广谱适用性，也制约了其通用型开发。鉴于此，要使CAR-T细胞疗法在实体瘤临床治疗中得到应用，还需开展进一步的改良与提升研究。本文围绕实体瘤中CAR-T细胞疗法，从“CAR基因修饰策略”、“通用免疫受体的再靶向策略”及“抗原通用性‘赋靶’策略”三个方面对CAR-T细胞领域中为提高安全性和通用性所进行的探索进行述评，系统剖析各策略的研究路径、优势及局限性，并展望未来发展方向。通过综述CAR-T细胞安全性和普适性设计策略的进展，本文旨在为实体瘤的CAR-T细胞疗法研发提供创新思路。

ObjectiveTo explore the effects of genetic variation of obesity-related biological pathways and gene-obesity interactions on the incidence of gastric cancer, so as to better understand the pathogenesis of gastric cancer and help identify high-risk populations for individualized prevention of gastric cancer. MethodsA case-control study based on the Shanghai Suburban Adult Cohort and Biobank study (SSACB) was conducted on the cases with gastric cancer. A total of 267 cases with gastric cancer and 267 healthy controls matched 1∶1 by age and gender using propensity score were included in the study. After genome-wide genotyping, quality control and imputation, 19 250 single nucleotide polymorphism (SNP) sites from 115 genes in 4 obesity-related biological pathways were extracted. Univariate and multivariate logistic regression analyses were used to evaluate the association between these SNP sites and the risk of gastric cancer, and false positive report probability (FPRP) was used for multiple test correction.Data from Biobank Japan (BBJ) and FinnGen public accessible databases were used to validate significant SNP sites. For validated sites, expression quantitative trait loci (eQTL) analysis and differentially expressed genes analysis were further performed. Additive and multiplicative interactions were used to evaluate the gene-obesity interactions on the incidence of gastric cancer. Additive interaction evaluation indicators included relative excess risk due to interaction (RERI), attributable proportion due to interaction (AP) and synergy index (SI), while multiplicative interaction evaluation indicators include OR_GxE and P_inter. ResultsA total of 41 SNP sites were significantly associated with the onset of gastric cancer (P_adj<0.05, FPRP_0.1<0.1), among which 7 groups of haplotype blocks were formed. ACACB/ rs2268401 [SSACB: P=0.005, BBJ: P=0.049], HRAS/ rs12785860 (SSACB: P<0.001, FinnGen: P=0.045), and PTPN1/ rs6095985 (SSACB: P<0.001, FinnGen: P=0.023) were significantly associated with the risk of gastric cancer after validation in different populations. Among which, the G allele of HRAS/ rs12785860 was correlated with the downregulation of HRAS mRNA expression (P<0.001), and the expression level of HRAS in gastric cancer tissues was higher than that in adjacent normal tissues (P<0.001). Additionaly, JAK1/rs11208559 showed a positive additive interaction with waist circumstance (WC) on the risk of gastric cancer [RERI=2.29(0.06~4.53), AP=0.57(0.23~0.90), SI=4.03(2.20~5.87)]. ConclusionObesity-related biological pathway SNP sites and their haplotypes are associated with the risk of gastric cancer, suggesting that genetic variations in obesity pathways may affect gastric cancer. The HRAS/ rs12785860 is significantly associated with downregulation of HRAS gene expression, which may serve as a potential genetic marker for gastric cancer. JAK1/rs11208559 interacts with obesity additively on the risk of gastric cancer. Individuals with GC+CC genotypes and pre-central or central obesity have an increased risk of gastric cancer, providing clues and evidences for individualized prevention of gastric cancer.

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

OBJECTIVE: To evaluate the effectiveness of correcting post-traumatic equinovarus deformity using Ilizarov external fixation technique combined with limited osteotomy. METHODS: A retrospective analysis was conducted on clinical data from 29 patients with post-traumatic equinovarus deformity treated between July 2018 and March 2023. The cohort included 18 males and 11 females, with ages ranging from 15 to 57 years (mean, 24.3 years). All patients exhibited ankylosed ankle joints with equinovarus deformity. During surgery, external fixators were installed according to Ilizarov pinning principles, and minimally invasive osteotomy was performed at the ankle joint. Concurrently, soft tissue release was achieved via minimally invasive Achilles tendon lengthening. Postoperatively, multiplanar deformity correction was accomplished through gradual adjustment of the external fixator. The fixator was removed after bony union at the osteotomy site, followed by bracing. The surgical duration, intraoperative blood loss, fixator wear time, and complications were recorded. Postoperative outcomes included assessment of deformity correction and bony union at the osteotomy site. Functional improvement and pain relief were evaluated using pre- and post-operative scores from the American Orthopaedic Foot & Ankle Society (AOFAS) ankle-hindfoot score and visual analogue scale (VAS) score. RESULTS: All 29 patients were followed up 12-24 months (mean, 18 months). The mean surgical duration was 85.6 minutes, with a mean intraoperative blood loss of 110 mL. Full deformity correction was achieved within 26-80 days (mean, 40.7 days) through progressive fixator adjustments. At correction completion, all ankles restored to a neutral or 5°-10° dorsiflexed position with plantigrade foot function. Superficial pin tract infections occurred in 3 patients (10.3%), resolved with local wound care, enhanced nursing, and oral antibiotics. No deep or systemic infections was observed. One patient sustained a calcaneal half-pin fracture due to a fall during fixator wear, but no bone fragment displacement occurred. No vascular or neurological complication was reported. Complete bony union was achieved at all osteotomy sites without nonunion. At last follow-up, the AOFAS ankle-hindfoot score improved from preoperative 42.7±8.7 to postoperative 65.7±9.3, and the VAS score decreased from preoperative 4.5±1.3 to postoperative 2.5±1.1, with significant differences ( P<0.05). Functional outcomes were rated as excellent in 14 cases, good in 13 cases, fair in 1 case, and poor in 1 case, with an excellent and good rate of 93.1%. CONCLUSION The progressive correction strategy combining Ilizarov external fixation technique with limited foot osteotomy effectively corrects post-traumatic equinovarus deformity while preserving soft tissue integrity. This method is associated with minimal, largely controllable complications and achieves alignment stability and fusion outcomes comparable to traditional open surgery, making it an effective treatment for complex foot and ankle deformities.
Humans ; Male ; Female ; Osteotomy/methods* ; Adult ; Retrospective Studies ; Ilizarov Technique ; Middle Aged ; Adolescent ; External Fixators ; Young Adult ; Treatment Outcome ; Ankle Joint/surgery* ; Clubfoot/etiology* ; Minimally Invasive Surgical Procedures/methods*

Addressing the enduring challenge of evaluating traditional Chinese medicines (TCMs), the integrated evidence chain-based effectiveness evaluation of TCMs (Eff-iEC) has emerged. This paper explored its capacity through a demonstration study that evaluated the effectiveness evidence of six commonly used anti-hepatic fibrosis Chinese patent medicines (CPMs), including Biejiajian Pill (BP), Dahuang Zhechong Pill (DZP), Biejia Ruangan Compound (BRC), Fuzheng Huayu Capsule (FHC), Anluo Huaxian Pill (AHP), and Heluo Shugan Capsule (HSC), using both Eff-iEC and the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) system. The recognition of these CPMs within the TCM academic community was also assessed through their inclusion in relevant medical documents. Results showed that the evidence of BRC and FHC received higher assessments in both Eff-iEC and GRADE system, while the assessments for others varied. Analysis of community recognition revealed that Eff-iEC more accurately reflects the clinical value of these CPMs, exhibiting superior evaluative capabilities. By breaking through the conventional pattern of TCMs effectiveness evaluation, Eff-iEC offers a novel epistemology that better aligns with the clinical realities and reasoning of TCMs, providing a coherent methodology for clinical decision-making, new drug evaluations, and health policy formulation.

Working memory is an executive memory process that includes encoding, maintenance, and retrieval. These processes can be modulated by transcranial alternating current stimulation (tACS) with sinusoidal waves. However, little is known about the impact of the rate of current change on working memory. In this study, we aimed to investigate the effects of two types of tACS with different rates of current change on working memory performance and brain activity. We applied a randomized, single-blind design and divided 81 young participants who received triangular wave tACS, sinusoidal wave tACS, or sham stimulation into three groups. Participants performed n-back tasks, and electroencephalograms were recorded before, during, and after active or sham stimulation. Compared to the baseline, working memory performance (accuracy and response time) improved after stimulation under all stimulation conditions. According to drift-diffusion model analysis, triangular wave tACS significantly increased the efficiency of non-target information processing. In addition, compared with sham conditions, triangular wave tACS reduced alpha power oscillations in the occipital lobe throughout the encoding period, while sinusoidal wave tACS increased theta power in the central frontal region only during the later encoding period. The brain network connectivity results showed that triangular wave tACS improved the clustering coefficient, local efficiency, and node degree intensity in the early encoding stage, and these parameters were positively correlated with the non-target drift rate and decision starting point. Our findings on how tACS modulates working memory indicate that triangular wave tACS significantly enhances brain network connectivity during the early encoding stage, demonstrating an improvement in the efficiency of working memory processing. In contrast, sinusoidal wave tACS increased the theta power during the later encoding stage, suggesting its potential critical role in late-stage information processing. These findings provide valuable insights into the potential mechanisms by which tACS modulates working memory.
Humans ; Memory, Short-Term/physiology* ; Male ; Female ; Young Adult ; Transcranial Direct Current Stimulation/methods* ; Brain/physiology* ; Adult ; Electroencephalography ; Single-Blind Method

The presence of a positive deep surgical margin in tongue squamous cell carcinoma (TSCC) significantly elevates the risk of local recurrence. Therefore, a prompt and precise intraoperative assessment of margin status is imperative to ensure thorough tumor resection. In this study, we integrate Raman imaging technology with an artificial intelligence (AI) generative model, proposing an innovative approach for intraoperative margin status diagnosis. This method utilizes Raman imaging to swiftly and non-invasively capture tissue Raman images, which are then transformed into hematoxylin-eosin (H&E)-stained histopathological images using an AI generative model for histopathological diagnosis. The generated H&E-stained images clearly illustrate the tissue's pathological conditions. Independently reviewed by three pathologists, the overall diagnostic accuracy for distinguishing between tumor tissue and normal muscle tissue reaches 86.7%. Notably, it outperforms current clinical practices, especially in TSCC with positive lymph node metastasis or moderately differentiated grades. This advancement highlights the potential of AI-enhanced Raman imaging to significantly improve intraoperative assessments and surgical margin evaluations, promising a versatile diagnostic tool beyond TSCC.
Humans ; Spectrum Analysis, Raman/methods* ; Tongue Neoplasms/diagnostic imaging* ; Carcinoma, Squamous Cell/diagnostic imaging* ; Artificial Intelligence ; Margins of Excision