BACKGROUND:Fibromyalgia syndrome,as a common rheumatic disease,is related to central sensitization and immune abnormalities.However,the specific mechanism has not been elucidated,and there is a lack of specific diagnostic markers.Exploring the possible pathogenesis of this disease has important clinical significance. OBJECTIVE:To screen the potential diagnostic marker genes of fibromyalgia syndrome and analyze the possible immune infiltration characteristics based on bioinformatics methods,such as weighted gene co-expression network analysis(WGCNA),and machine learning. METHODS:Gene expression profiles in peripheral serum of fibromyalgia syndrome patients and healthy controls were obtained from the gene expression omnibus(GEO)database.The differentially co-expressed genes were screened in the expression profile by differential analysis and WGCNA analysis.Least absolute shrinkage and selection operator(LASSO)and support vector machine-recursive feature elimination(SVM-RFE)machine learning algorithm were further used to identify hub biomarkers,and draw receiver operating characteristic curve(ROC)to evaluate the accuracy of diagnosing fibromyalgia syndrome.Finally,single sample gene set enrichment analysis(ssGSEA)and gene set enrichment analysis(GSEA)were used to evaluate the immune cell infiltration and pathway enrichment in patients with fibromyalgia syndrome. RESULTS AND CONCLUSION:Eight down-regulated differentially expressed genes(DEGs)were obtained after differential analysis of the GSE67311 dataset according to the conditions of log2|(FC)|>0 and P<0.05.After WGCNA analysis,497 genes were included in the module(MEdarkviolet)with the highest positive correlation(r=0.22,P=0.04),and 19 genes were included in the module(MEsalmon2)with the highest negative correlation(r=-0.41,P=6×10-5).After intersecting DEGs and the module genes of WGCNA,seven genes were obtained.Four genes were screened out by LASSO regression algorithm and five genes were screened out by SVM-RFE machine learning algorithm.After the intersection of the two,three core genes were identified,which were germinal center associated signaling and motility like,integrin beta-8,and carboxypeptidase A3.The areas under the ROC curve of the three core genes were 0.744,0.739,and 0.734,respectively,indicating that they have good diagnostic value and can be used as biomarkers for fibromyalgia syndrome.The results of immune infiltration analysis showed that memory B cells,CD56 bright NK cells,and mast cells were significantly down-regulated in patients with fibromyalgia syndrome compared with the control group(P<0.05),and were significantly positively correlated with the above three biomarkers(P<0.05).The enrichment analysis suggested that there were nine fibromyalgia syndrome enrichment pathways,mainly related to olfactory transduction pathway,neuroactive ligand-receptor interaction,and infection pathway.The above results showed that the occurrence and development of fibromyalgia syndrome are related to the involvement of multiple genes,abnormal immune regulation,and multiple pathways imbalance.However,the interactions between these genes and immune cells,as well as their relationships with various pathways need to be further investigated.

Objective: To analyze the changes in homologous immunity after RhCE-matched transfusion in positive patients with RhCE blood group antibodies, and to provide precise transfusion strategies for chronic anemia patients. Methods: Patients with chronic anemia in our hospital from January 2020 to March 2024 (continuously receiving blood transfusions for more than 6 months) were enrolled, and 63 cases of unexpected antibody screening positive and identified as RhCE blood group antibodies were selected as the research subjects. The changes in unexpected antibody yield rate after ABO and RhCcDEe isotype blood transfusion were observed. Patients with MNS, Kidd, or Lewis blood group antibodies were screened for corresponding negative donors using monoclonal antibodies for extended typing transfusion based on RhCcEe typing, and the changes in unexpected antibody yield rate after transfusion were observed. Blood group genotyping was performed when serological techniques failed to resolve discrepancies or detect abnormal antigen expression. Results: After RhCcDEe-matched transfusions, RhCE antibodies disappeared in 62 patients, while 1 patient developed anti-Ce. The latter did not develop blood type isotype immunity after receiving RhccEE donor blood. Among the 62 patients, 9 developed unexpected antibodies against other systems: anti-M (4 cases), anti-Mur (2), anti-S (1), anti-Jka (1), and anti-Lea (1). No additional alloimmunization occurred after extended antigen-matched transfusions. A patient with serologically weak e phenotype was genotyped as DCe/DcE, with gene sequencing revealing an 827C>A mutation in exon 6 of the RHCE gene, forming the RHCE 01.31 allele. Conclusion: Precise transfusion strategies incorporating RhCE, MNS, Kidd, and Lewis blood group antigen typing can reduce the probability of blood group homologous immunity. RhCE complex antibodies and RhCE variants pose difficulties for clinical RhCE typing transfusion, which can be addressed through cross-matching and genetic analysis.

Objective: To evaluate the feasibility of exempting Asian-type DEL pregnant women from anti-D monitoring and RhD immunoglobulin prophylaxis injections by comparing and analyzing the clinical incidence of anti-D alloimmunization between Asian-type DEL pregnant women and true RhD-negative pregnant women. Methods: A total of 165 pregnant women who were initially screened as RhD negative by the saline method and received medical treatment in our hospital from December 2022 to August 2024 were collected as the research subjects. Absorption and elution tests, DEL genotyping, and gene sequencing were used to divide the pregnant women into the Asian-type DEL group and the true negative group. After obtaining informed consent, the following clinical management plan was implemented for pregnant women with Asian-type DEL: exemption from routine anti-D antibody detection, exemption from RhD immunoglobulin prophylaxis, and transfusion of RhD-positive red blood cells. Blood samples of newborns were sent for examination of hemolytic disease of the fetus and newborn (HDFN). The routine management plan was implemented for true negative pregnant women. The incidence of alloimmunization and HDFN was comparatively analyzed between the two groups. Results: Among 165 initially screened RhD negative pregnant women, serological testing and genotyping confirmed 42 as Asian-type DEL, 9 as D variant, and 114 as true negative. Among 42 pregnant women with Asian-type DEL, 3 cases tested positive for HDFN due to receiving RhD immunoglobulin prophylaxis injection. The remaining 39 cases were exempted from anti-D testing after being fully informed of the risk, and did not receive RhD immunoglobulin prophylaxis. The HDFN tests were all negative. In the true negative group, anti-D antibodies were detected in 20 cases, of which 6 cases tested positive for HDFN. A pregnant woman with Asian -type DEL did not show RhD homologous immune response after receiving 2 units of RhD positive red blood cells. Statistical analysis revealed a significantly lower risk of anti-D alloimmunization in Asian-type DEL carriers compared to true D-negative pregnant women (P<0.05). Conclusion: Pregnant women with Asian-type DEL can be exempted from routine anti-D antibody testing and do not require routine RhD immunoglobulin prophylaxis injections.

Background Enhancing the sense of honor and belonging among medical staff is a key component of establishing a modern hospital management system. Compared to medical staff at general hospitals, medical staff at oncology hospitals are more prone to job burnout, yet few studies in China have focused on job burnout among employees in oncology hospitals. Objective To propose a hypothetical model in which job well-being moderates the relationship between stressors and occupational burnout, to explore how stressors influence burnout and potential moderating role of job well-being, and to provide better understanding of job burnout and motivate employees based on the double-edge sword effect of stressors. Methods A cross-sectional survey was conducted in May 2022 at a tertiary oncology specialty hospital in Chongqing, China. A total of 1 898 medical staff were recruited. Data were collectedthrough four scales including a general information questionnaire, Maslach Burnout Inventory-Human Service Survey, Work Stressor Scale, and Occupational Well-being Scale for Medical Staff. Independent sample t-tests and one-way ANOVA were used for univariate comparisons of job burnout. Pearson correlation analysis was employed to examine the relationships between job burnout, stressors, and job well-being. Hierarchical linear regression was conducted to identify factors influencing job burnout and to examine potential moderating role of job well-being in the relationship between stressors and job burnout. Results A total of 2 123 questionnaires were distributed, with 1 898 valid responses, yielding an effective response rate of 89.4%. The prevalence of job burnout was 60.1%. The correlation coefficient was 0.717 (P<0.001) between stressors and burnout, −0.784 (P<0.05) between job well-being and burnout, and −0.744 (P<0.001) between stressors and job well-being. The quadratic stressors showed a statistically significant effect on burnout (β=0.404, P<0.01). Job well-being positively moderated the relationship between the linear stressors and burnout (β=1.289, P<0.001) and negatively moderated the relationship between the quadratic stressors and job burnout (β=−0.571, P<0.01), explaining 7.1% of the variance. Conclusion Job burnout prevalence is relatively high among employees in oncology hospitals. There is a curvilinear relationship between stressors and job burnout, with job well-being moderating this relationship. From a practical perspective, it is recommended to establish a tiered stress alert system to monitor employees’ stress levels and prevent prolonged exposure to high-pressure conditions. Additionally, improving employees’ job well-being through institutional incentives and developmental support can enhance its moderating role in mitigating the adverse effects of stressors on job burnout. Meanwhile, fostering coordinated responses between organizations and individuals is crucial for strengthening mental health management systems, thereby supporting a healthy, stable, and sustainable development of the healthcare workforce.

Recent studies have indicated that the expression of ubiquitin-specific protease 51 (USP51), a novel deubiquitinating enzyme (DUB) that mediates protein degradation as part of the ubiquitin‒proteasome system (UPS), is associated with tumor progression and therapeutic resistance in multiple malignancies. However, the underlying mechanisms and signaling networks involved in USP51-mediated regulation of malignant phenotypes remain largely unknown. The present study provides evidence of USP51's functions as the prominent DUB in chemoresistant triple-negative breast cancer (TNBC) cells. At the molecular level, ectopic expression of USP51 stabilized the 78 kDa Glucose-Regulated Protein (GRP78) protein through deubiquitination, thereby increasing its expression and localization on the cell surface. Furthermore, the upregulation of cell surface GRP78 increased the activity of ATP binding cassette subfamily B member 1 (ABCB1), the main efflux pump of doxorubicin (DOX), ultimately decreasing its accumulation in TNBC cells and promoting the development of drug resistance both in vitro and in vivo. Clinically, we found significant correlations among USP51, GRP78, and ABCB1 expression in TNBC patients with chemoresistance. Elevated USP51, GRP78, and ABCB1 levels were also strongly associated with a poor patient prognosis. Importantly, we revealed an alternative intervention for specific pharmacological targeting of USP51 for TNBC cell chemosensitization. In conclusion, these findings collectively indicate that the USP51/GRP78/ABCB1 network is a key contributor to the malignant progression and chemotherapeutic resistance of TNBC cells, underscoring the pivotal role of USP51 as a novel therapeutic target for cancer management.

BACKGROUND: China is seeing a growing demand for rehabilitation treatments for post-stroke upper limb spastic paresis (PSSP-UL). Although acupuncture is known to be effective for PSSP-UL, there is room to enhance its efficacy. OBJECTIVE: This study explored a semi-personalized acupuncture approach for PSSP-UL that used three-dimensional kinematic analysis (3DKA) results to select additional acupoints, and investigated the feasibility, efficacy and safety of this approach. DESIGN, SETTING, PARTICIPANTS AND INTERVENTIONS: This single-blind, single-center, randomized, controlled trial involved 74 participants who experienced a first-ever ischemic or hemorrhagic stroke with spastic upper limb paresis. The participants were then randomly assigned to the intervention group or the control group in a 1:1 ratio. Both groups received conventional treatments and acupuncture treatment 5 days a week for 4 weeks. The main acupoints in both groups were the same, while participants in the intervention group received additional acupoints selected on the basis of 3DKA results. Follow-up assessments were conducted for 8 weeks after the treatment. MAIN OUTCOME MEASURES: The primary outcome was the Fugl-Meyer Assessment for Upper Extremity (FMA-UE) response rate (≥ 6-point change) at week 4. Secondary outcomes included changes in motor function (FMA-UE), Brunnstrom recovery stage (BRS), manual muscle test (MMT), spasticity (Modified Ashworth Scale, MAS), and activities of daily life (Modified Barthel Index, MBI) at week 4 and week 12. RESULTS: Sixty-four participants completed the trial and underwent analyses. Compared with control group, the intervention group exhibited a significantly higher FMA-UE response rate at week 4 (χ² = 5.479, P = 0.019) and greater improvements in FMA-UE at both week 4 and week 12 (both P < 0.001). The intervention group also showed bigger improvements from baseline in the MMT grades for shoulder adduction and elbow flexion at weeks 4 and 12 as well as thumb adduction at week 4 (P = 0.007, P = 0.049, P = 0.019, P = 0.008, P = 0.029, respectively). The intervention group showed a better change in the MBI at both week 4 and week 12 (P = 0.004 and P = 0.010, respectively). Although the intervention group had a higher BRS for the hand at week 12 (P = 0.041), no intergroup differences were observed at week 4 (all P > 0.05). The two groups showed no differences in MAS grades as well as in BRS for the arm at weeks 4 and 12 (all P > 0.05). CONCLUSION: Semi-personalized acupuncture prescription based on 3DKA results significantly improved motor function, muscle strength, and activities of daily living in patients with PSSP-UL. TRIAL REGISTRATION Chinese Clinical Trial Registry ChiCTR2200056216. Please cite this article as: Huang XY, Liao OP, Jiang SY, Tao JM, Li Y, Lu XY, Li YY, Wang C, Li J, Ma XP. Three-dimensional kinematic analysis can improve the efficacy of acupoint selection for post-stroke patients with upper limb spastic paresis: A randomized controlled trial. J Integr Med. 2025; 23(1): 15-24.
Humans ; Male ; Female ; Middle Aged ; Acupuncture Points ; Upper Extremity/physiopathology* ; Biomechanical Phenomena ; Single-Blind Method ; Aged ; Stroke/therapy* ; Acupuncture Therapy/methods* ; Stroke Rehabilitation/methods* ; Adult ; Muscle Spasticity/therapy* ; Paresis/physiopathology* ; Treatment Outcome

OBJECTIVE: Humans are exposed to complex mixtures of environmental chemicals and other factors that can affect their health. Analysis of these mixture exposures presents several key challenges for environmental epidemiology and risk assessment, including high dimensionality, correlated exposure, and subtle individual effects. METHODS: We proposed a novel statistical approach, the generalized functional linear model (GFLM), to analyze the health effects of exposure mixtures. GFLM treats the effect of mixture exposures as a smooth function by reordering exposures based on specific mechanisms and capturing internal correlations to provide a meaningful estimation and interpretation. The robustness and efficiency was evaluated under various scenarios through extensive simulation studies. RESULTS: We applied the GFLM to two datasets from the National Health and Nutrition Examination Survey (NHANES). In the first application, we examined the effects of 37 nutrients on BMI (2011-2016 cycles). The GFLM identified a significant mixture effect, with fiber and fat emerging as the nutrients with the greatest negative and positive effects on BMI, respectively. For the second application, we investigated the association between four pre- and perfluoroalkyl substances (PFAS) and gout risk (2007-2018 cycles). Unlike traditional methods, the GFLM indicated no significant association, demonstrating its robustness to multicollinearity. CONCLUSION GFLM framework is a powerful tool for mixture exposure analysis, offering improved handling of correlated exposures and interpretable results. It demonstrates robust performance across various scenarios and real-world applications, advancing our understanding of complex environmental exposures and their health impacts on environmental epidemiology and toxicology.
Humans ; Environmental Exposure/analysis* ; Linear Models ; Nutrition Surveys ; Environmental Pollutants ; Body Mass Index

Objective:To explore the optimal regimen of standardized mite allergen immunotherapy for airway allergic diseases in children, and to observe the clinical efficacy, safety and compliance.Method:Use a retrospective real-world study, clinical data from 156 children aged 5-16 years who received subcutaneous immunotherapy (SCIT) with double mite allergen preparation in the pediatrics department of the Third Affiliated Hospital of Sun Yat sen University from June 2019 to September 2020 were selected for allergic rhinitis (AR) and/or allergic asthma (bronchial asthma, BA), including gender, age, total VAS(visual analogue scale) score and CSMS(combined symptom and medication scores) score at different time points (before treatment, 4-6 months, 1 year, and 2 years after initiation of desensitization), peripheral blood eosinophil counts (EOS), serum total IgE (tIgE), specific IgE (tIgE), and serum IgE (tIgE), specific IgE (sIgE), tIgG4, and incidence of local and systemic adverse reactions. All patients had a consistent regimen during the initial treatment phase (dose-escalation phase), which was performed as directed. Among them, 81 cases (observation group) continued to continue subcutaneous injection of 1 ml of vial No. 3 every 4-6 weeks during the dose maintenance phase, while 75 cases (control group) followed the old traditional regimen during the maintenance phase (i.e., change to a new vial to halve the amount of vial No. 3 by 0.5 ml, and then 0.75 ml after 1-2 weeks, and 1 ml in a further interval of 1-2 weeks). The clinical efficacy, safety and adherence to the treatment were compared between the two groups.Results:A total of 81 cases of 156 children were included in the observation group, of which 58 children with AR, 15 children with BA, and 8 children with AR combined with BA; 75 cases were included in the conventional control group, of which 52 children with AR, 16 children with BA, and 7 children with AR combined with BA. In terms of safety, the difference in the incidence of local and systemic adverse reactions between the two groups was not statistically significant ( χ2=1.541 for local adverse reactions in the control group, χ2=0.718 for the observation group; χ2=0.483 for systemic adverse reactions in the control group, χ2=0.179 for the observation group, P value >0.05 for all of these), and there were no grade Ⅱ or higher systemic adverse reactions in any of them. In the control group, there were 15 cases of dropout at 2 years of follow-up, with a dropout rate of 20.0%; in the observation group, there were 7 cases of dropout at 2 years of follow-up, with a dropout rate of 8.6%, and there was a statistically significant difference in the dropout rates of the patients in the two groups ( χ2=4.147, P<0.05). Comparison of serological indexes and efficacy (compared with baseline at 3 different time points after treatment, i.e., 4-6 months, 1 year and 2 years after treatment), CSMS scores of the observation group and the conventional control group at 4-6 months, 1 year and 2 years after treatment were significantly decreased compared with the baseline status ( t-values of the conventional group were 13.783, 20.086 and 20.384, respectively, all P-values <0.001, and t-values of the observation group were 15.480, 27.087, 28.938, all P-values <0.001), and VAS scores also decreased significantly from baseline status in both groups at 4-6 months, 1 year, and 2 years of treatment ( t-values of 14.008, 17.963, and 27.512 in the conventional control group, respectively, with all P-values <0.001, and t-values of 9.436, 13.184, and 22.377 in the observation group, respectively; all P-values <0.001). Intergroup comparisons showed no statistically significant differences in CSMS at baseline status, 4-6 months, 1 year and 2 years ( t-values 0.621, 0.473, 1.825, and 0.342, respectively, and P-values 0.536, 0.637, 0.070, and 0.733, respectively), and VAS was no statistically significant difference in comparison between groups at different time points ( t-values of 1.663, 0.095, 0.305, 0.951, P-values of 0.099, 0.925, 0.761, 0.343, respectively); suggesting that the treatment regimens of the observation group and the conventional control group were clinically effective, and that the two regimens were comparable in terms of efficacy. The peripheral blood eosinophil counts of the observation group and the conventional control group decreased significantly from the baseline status at 4-6 months, 1 year and 2 years of treatment ( t-values of the conventional group were 3.453, 5.469, 6.273, P-values <0.05, and the t-values of the observation group were 2.900, 4.575, 5.988, P-values <0.05, respectively). 4-6 months, 1 year and 2 years compared with the baseline status tIgE showed a trend of increasing and then decreasing ( t-value in the conventional group was -5.328, -4.254, -0.690, P-value was 0.000, 0.000, 0.492, respectively, and t-value in the observation group was -6.087, -5.087, -0.324, P-value was 0.000, 0.000, 0.745, respectively). However, the results of intergroup comparisons showed no statistically significant differences in serological indices and efficacy between the two groups in terms of peripheral blood eosinophil counts at baseline status, 4-6 months, 1 year and 2 years ( t-values of 0.723, 1.553, 0.766, and 0.234, respectively; P-values of 0.471, 0.122, 0.445, and 0.815, respectively), tIgE ( t-values of 0.170, -0.166, -0.449, 0.839, P-values 0.865, 0.868, 0.654, 0.403, respectively), tIgG4 ( t-values 1.507, 1.467, -0.337, 0.804, P-values 0.134, 0.145, 0.737, 0.422, respectively). Conclusion:Both immunotherapy regimens for airway allergic diseases with double mite allergen subcutaneous immunotherapy have significant clinical efficacy, low incidence of adverse reactions, and the observation group has better patient compliance than the control group.

Objective To construct a three-dimensional statistical shape model of the pelvis and analyze the individual variation and gender differences of the three-dimensional shape of the pelvis.Methods We collected CT data from 201 Chinese individuals and used deep learning to automatically reconstruct three-dimensional models of the pelvis.Through three-dimensional model registration,dense correspondence mesh mapping,and the use of statistical shape modelling(SSM)and principal component(PC)analysis method,we extracted models of variations(MoV)of pelvic shape changes and statistically compared the shape MoV between males and females.Results We analysed the top 10 principal components of shape variations,which accounted for 86.1％of the total variability.Among them,PC01,PC02,and PC04 showed significant differences between genders(P＜0.001),accounting for a total variability of 60.1％.PC08 and PC 10 demonstrated pelvic asymmetry,accounting for a total variability of 3.8％.Conclusion We constructed a three-dimensional statistical shape model of the pelvis in Chinese individuals,revealing the morphological variation and sex differences of Chinese pelvis.

Objective To elucidate the potential mechanisms by which mesothelin(MSLN)contributes to chemotherapy resistance in high-grade serous ovarian cancer(HGSOC).Methods A Meta-analysis utilizing public ovarian cancer databases was performed to evaluate the correlation between MSLN expression levels and overall survival(OS)in ovarian cancer patients.Pathway enrichment analysis was employed to identify key signaling pathways regulated by MSLN and their roles in chemotherapy resistance.Additionally,the TCGA-HGSOC database was analyzed to examine genomic features associated with MSLN-mediated chemotherapy resistance.To validate the biological function of MSLN in chemotherapy resistance,an intraperitoneal metastasis model was established using MSLN-knockdown ID8 ovarian cancer cells in mice.Results Elevated MSLN expression was significantly associated with poor patient prognosis(HR:1.42,95%CI:1.16-1.74).Differential gene expression and pathway enrichment analyses revealed that high MSLN expression upregulates resistance-associated genes and pathways involved in drug metabolism and DNA-binding signaling.Genomic association analysis showed a negative correlation between high MSLN expression and chromosomal instability features,specifically CX3,CX11,and CX13 scores.In vivo studies demonstrated that MSLN knockdown enhanced the tumor-suppressive effects of cisplatin.Conclusion High MSLN expression represents a potential biomarker for poor prognosis and chemotherapy resistance in HGSOC patients,suggesting MSLN as a promising target for therapeutic intervention.