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 observe the clinical efficacy of Fu's subcutaneous needling based on "multi-joint muscle spiral balance chain" theory for cervical vertigo (CV) and its effect on blood flow velocity of vertebral artery. METHODS: A total of 60 patients with CV were randomized into a Fu's subcutaneous needling group and a medication group, 30 cases in each one. In the Fu's subcutaneous needling group, Fu's subcutaneous needling was delivered at Dazhui (GV14), the flexible tube was retained for 5 min after sweeping manipulation, and the treatment was given once every other day, 3 times a week for 3 weeks. In the medication group, betahistine mesylate tablet and diclofenac sodium dual-release enteric capsule were taken orally for continuous 3 weeks. Before treatment, after treatment, and in follow-up of one month after treatment completion, the scores of dizziness handicap inventory (DHI) and visual analogue scale (VAS) were observed; before and after treatment, the blood flow velocity of vertebral artery was measured by transcranial Doppler, and the clinical efficacy was evaluated after treatment in the two groups. RESULTS: After treatment and in follow-up, each item scores and total scores of DHI were decreased compared with those before treatment in the two groups (P<0.05); the VAS scores after treatment in the two groups, as well as the VAS score in follow-up of the Fu's subcutaneous needling group, were decreased compared with those before treatment (P<0.05). In the Fu's subcutaneous needling group, after treatment and in follow-up, the physical scores and the total scores of DHI, and the VAS scores were lower than those in the medication group (P<0.05); in follow-up, the emotional and functional scores of DHI were lower than those in the medication group (P<0.05). After treatment, the mean blood flow velocity (Vm) of the left vertebral artery (LVA) and the right vertebral artery (RVA) was increased compared with that before treatment in the two groups (P<0.05), and the Vm of LVA and RVA in the Fu's subcutaneous needling group was higher than that in the medication group (P<0.05). The total effective rate was 100.0% (30/30) in the Fu's subcutaneous needling group, which was superior to 73.3% (22/30) in the medication group (P<0.05). CONCLUSION Fu's subcutaneous needling based on the "multi-joint muscle spiral balance chain" theory can effectively alleviate the vertigo and neck pain, and improve the blood flow velocity of vertebral artery in CV patients, and has a long-term therapeutic effect.
Humans ; Female ; Male ; Middle Aged ; Acupuncture Therapy/instrumentation* ; Vertebral Artery/physiopathology* ; Adult ; Vertigo/physiopathology* ; Aged ; Blood Flow Velocity ; Treatment Outcome ; Acupuncture Points ; Young Adult

OBJECTIVE: To review clinical application and research progress of different types of intelligent responsive hydrogels in repairing articular cartilage injury. METHODS: The animal experiments and clinical studies of different types of intelligent responsive hydrogels for repairing articular cartilage injury were summarized by reviewing relevant literature at home and abroad. RESULTS: The intrinsic regenerative capacity of articular cartilage following injury is limited. Intelligent responsive hydrogels, including those that are temperature-sensitive, light-sensitive, enzyme-responsive, pH-sensitive, and other stimuli-responsive hydrogels, can undergo phase transitions in response to specific stimuli, thereby achieving optimal functionality. These hydrogels can fill the injured cartilage area, promote the proliferation and differentiation of chondrocytes, and expedite the repair of the damaged site. With advancements in cartilage tissue engineering materials research, intelligent responsive hydrogels offer a novel approach and promising potential for the treatment of cartilage injuries. CONCLUSION Intelligent responsive hydrogel is a kind of flexible, controllable, efficient, and stable polymer, which has similar structure and functional properties to articular cartilage, and has become one of the important biomaterials for cartilage repair. However, there is still a lack of unified treatment standards and simple and efficient preparation technology.
Hydrogels/therapeutic use* ; Cartilage, Articular/injuries* ; Tissue Engineering/methods* ; Humans ; Animals ; Chondrocytes/cytology* ; Biocompatible Materials/chemistry* ; Tissue Scaffolds/chemistry*

Objective To investigate the gene expression and regulatory mechanisms of mouse embryonic fibroblasts (MEFs) under inflammatory conditions, aiming to elucidate the role of MEFs in inflammatory responses and provide a foundation for discovering anti-inflammatory drugs that act by modulating MEF function. Methods MEFs cultured in vitro were divided into the following groups: lipopolysaccharides (LPS)-treated group, inflammatory conditioned medium (CM)-treated group, and control group, which were treated with LPS, CM, and equal volume solvent, respectively. Transcriptome sequencing was used to analyze the effects of two stimuli on gene expression profile of MEFs. Real time fluorescence quantitative PCR (RT-qPCR) was employed to verify the transcription levels of highly expressed genes of MEFs induced by CM. ELISA was performed to determine the concentrations of cytokines in cell supernatants. Finally, the regulatory effects of CM on the activation of signaling pathways in MEFs were analyzed by immunoblotting. Results Transcriptome analysis showed that both LPS and CM induced the transcription of a large number of genes in MEFs. Compared with LPS, CM potentiated the mRNA transcription of some acute phase proteins, inflammatory cytokines, chemokines, matrix metalloproteinases (MMP), prostaglandin synthetases, and colony-stimulating factors. The transcriptome analysis was verified by RT-qPCR. The results of ELISA showed that CM treatment significantly increased the secretion of interleukin 6 (IL-6), C-C motif chemokine ligand (CCL2), and C-X-C motif chemokine ligand (CXCL1) by MEFs compared with LPS. Mechanism study showed that both LPS and CM induced the phosphorylation of nuclear factor-κB p65 (NF-κB p65), p38 mitogen-activated protein kinase (p38 MAPK), extracellular regulated protein kinases 1/2 (ERK1/2), and TANK-binding kinase (TBK) in MEFs, and CM strongly stimulated the phosphorylation of signal transducer and activator of transcription 3 (STAT3) in MEFs. Conclusion Both LPS and CM can induce transcription and protein secretion of various inflammation-related genes in MEFs. CM can partly enhance LPS-induced activation of MEFs, and the mechanism may be related to the enhancement effect of CM on the activation STAT3 signaling pathway.
Animals ; Fibroblasts/immunology* ; Mice ; Lipopolysaccharides/pharmacology* ; Inflammation/metabolism* ; Signal Transduction/drug effects* ; Gene Expression Regulation/drug effects* ; Cytokines/genetics* ; Culture Media, Conditioned/pharmacology* ; Cells, Cultured

Generative artificial intelligence (GAI) refers to AI technology capable of generating new content such as text, images, or audio from training data. GAI tools not only demonstrate rapid and efficient potential in literature screening, data extraction, and literature appraisal in systematic reviews, but can also be used for guideline evaluation and dissemination, enhancing the readability and promotion efficiency of guidelines. However, the accuracy of content generated by GAI tools, the rationality of cited evidence, the level of evidence, and the reliability of data still need verification. Additionally, data privacy protection and ethical issues are challenges that need to be addressed. This article aims to overview the current status of GAI tools in the formulation, evaluation, dissemination, and implementation of guidelines, explore the feasibility and new models of GAI tools in the field of guidelines, and improve the efficiency and quality of guideline formulation to better serve guideline developers and users.

Objective To investigate the role of macrophages in the process of fine particulate matter (PM2.5)exposure induced damage to pulmonary blood-air barrier.Methods Eighteen male BALB/C mice (aged of 10 weeks,weighing 24～27 g)were randomly divided into control group and low-and high-dose PM2.5 exposure groups (receiving 1 .8 and 16.2 mg/kg,respectively),with 6 mice in each group.The control group received tracheal instillations of normal saline on days 1,4,and 7,whereas the exposure groups were administered corresponding dose of PM2.5 exposure at the same time points.In 24 h after last exposure,pathological changes in the lung tissues were observed,and the contents of total protein (TP ),lactate dehydrogenase (LDH ),and alkaline phosphatase (AKP ) in bronchoalveolar lavage fluid (BALF ),and F4/80 protein level in lung tissue were measured to evaluate the blood-air barrier damage and macrophage infiltration within the lung tissues.Additionally,an in vitro model of the blood-air barrier was established using A549 alveolar epithelial cells and EA.hy926 vascular endothelial cells.In combination with a THP-1 macrophage model,the supernatant PM2.5 supernatant,macrophage supernatant,and PM2.5-macrophage supernatant were incubated with the barrier model for 24 h,respectively.Transmembrane electrical resistance (TEER),sodium fluorescein permeability of the barrier model,and LDH release from the barrier cells were measured to ascertain the extent of macrophage-mediated enhancement in barrier damage induced by PM2.5 exposure.Furthermore,the expression of inflammatory cytokines,such as TNF-α,IL-1β,IL-6,and IL-8 in the macrophages after PM2.5 exposure was analyzed with quantitative real-time PCR (qPCR)and enzyme-linked immunosorbent assay (ELISA).Results PM2.5 exposure induced lung tissue damage in mice in a dose-dependent manner,significantly elevated the contents of TP,LDH and AKP in the BALF and caused marked infiltration of macrophages into the lung tissue,especially the high-dose exposure when compared with the mice from the control group (P<0.01 ).In vitro barrier model exposure experiments showed that in comparison with the treatment of 150 and 300 μg/mL PM2.5 and macrophage supernatant,the same doses of PM2.5-macrophage supernatant resulted in notably decreased TEER and significantly enhanced permeability in the barrier model (P<0.01 ),and markedly increased LDH release from epithelial and endothelial barrier cells (P<0.01 ).Additionally,the exposure of 150 and 300μg/mL PM2.5 led to a significant up-regulation of TNF-α,IL-1β,IL-6,and IL-8 in the macrophages (P<0.01 ).Conclusion Macrophages deteriorate PM2.5-induced functional impairment of the pulmonary blood-air barrier.

Objective:Studying the effect of PRDX4 on esophageal squamous cell carcinoma cells(esophageal carcinoma,ESCC)proliferation and apoptosis as well as its potential mechanism.Methods:The University of Alabama at Birmingham cancer data analysis portal(UALCAN),gene expression profiling interactive analysis(GEPIA)and the Cancer Genome Atlas(TCGA)databases were used to predict PRDX4 expres-sion in ESCC and its relationship with pathological features and prognosis.The cancer and adjacent tissues of 60 patients with ESCC who un-derwent radical resection in the Affiliated Hospital of Weifang Medical College from August 2010 to August 2023 were selected as research samples.The expression level of PRDX4 in the patients was detected by immunohistochemistry(IHC).The extracted cancer and adjacent tis-sues were homogenized to analyze its mRNA expression.The expression levels of PRDX4 mRNA and related signaling proteins in ESCC cells were analyzed by real-time quantitative PCR and Western blot.Cell Counting Kit-8(CCK-8)assay and flow cytometry were used to analyze the effect of PRDX4 on cell proliferation and apoptosis.Finally,a subcutaneous tumor model in nude mice was constructed to validate the in vitro experimental results.Results:The data from the GEPIA and UALCAN showed that PRDX4 expression was abnormally increased and re-lated to the pathology stage,grade,and survival rate of patients.After knockdown and overexpression of PRDX4 in an ESCC cell line,the ex-pression of PRDX4,phos-phosphatidylinositol 3-kinase(p-PI3K),phos-protein kinase B(p-AKT),cyclinD1,and survivin protein decreased and increased,respectively;cell proliferation and apoptosis were positively regulated.Compared with the sh-NC group,tumor volume and weight in the sh-PRDX4 group were decreased.Conclusions:PRDX4 regulates the proliferation and apoptosis of ESCC cells by activating the PI3K/AKT signaling pathway.

Objective To explore the short-term and long-term efficacy of arthroscopic surgery,different non-surgical ther-apy and sham operation intervention in the treatment of meniscus related injuries,and to compare their advantages and disadvan-tages,so as to provide guidance for clinical practice.Methods Randomized controlled trials on arthroscopic surgery,meniscecto-my and other surgical and non-surgical treatments for knee meniscus injury were searched in PubMed,Embase,Cochrane Librar-y and Web of Science,and the search time was from its inception to July 2023.Two researchers independently screened the liter-ature according to the established literature ranking criteria,and the Cochrane Risk of Bias Assessment Tool was used to evalu-ate the risk of bias of the included literature,while the PEDro Scale Evaluation Tool was used to evaluate the quality of the liter-ature of the randomized controlled trials,and the collected data were quantitatively analyzed using RevMan 5.3 software.Results From the qualitative analysis,it was clear that surgical therapies might be more appropriately applied to patients without osteo-arthritis and without mechanical symptoms,and that meniscal suture repair surgery had a more favorable long-term outcome compared with traditional partial meniscectomy.Quantitative analysis showed that there was no statistical significance between arthroscopic surgery and other non-surgical therapies in several short and long term efficacy(all P＞0.05).For example,MD=0.15,95％CI:-4.05～4.35,I2=0％in the short-term comparison of Lysholm knee score;MD=-1.30,95％CI:-3.16～0.57,I2=0％;Short-term VAS score MD=-0.18,95％CI:-0.59～0.23,I2=45％;MD=-0.01,95％CI:-0.20～0.19,I2=36％.In addition,in the subgroup analysis of degenerative meniscus injury alone,the difference in clinical efficacy between the two therapies was also not statistically significant(all P＞0.05).Conclusion There is no practical difference between surgi-cal therapy and non-surgical therapy in the short-term and long-term outcomes.For single type injury,such as degenerative me-niscus injury,there is no practical difference between the two therapies.

Objective: To understand the current situation of college students emotional regulation and its correlation with perceived social support, so as to provide a reference for improving emotional regulation ability among college students. Methods: From September 15 to October 15, 2022, a total of 15 560 students from 27 colleges and universities in Guangdong, Jiangsu, Shandong, Shanghai, Anhui, Hebei, Yunnan, Shanxi and Gansu were enrolled by stratified random sampling method. The Perceived Social Support Scale (PSSS) and the Emotion Regulation Questionnaire (ERQ) were used to investigate, and multiple stepwise regression was used to explore the relationship between perceived social support and emotion regulation of college students. Results: The scores of emotion regulation, cognitive reappraisal and expression inhibition were 44(40, 50), 24(20, 28) and 20(19, 24) respectively. There were significant differences in the scores of emotion regulation, cognitive reappraisal and expression inhibition by age, grade, household registration, only child status,cost of living, and sleep ( H/Z =77.72, 49.73, -5.10, -9.77, 7.68, 168.27 ; 204.55, 317.32, -5.96, -7.60, 131.20, 968.08; 82.18, 148.04, -2.30, -8.03, 64.82, 188.08, P <0.05). In addition, the multiple stepwise regression found that family support, friend support, and other support in perceived social support all had a positive impact on the emotional regulation state of college students ( β =0.137,0.207,0.090), and family support and friend support had a significant positive effect on expression inhibition( β =0.079,0.053) and cognitive reappraisal( β =0.153,0.296)( P <0.01). Conclusion The perceived social support can directly affect the emotional regulation of college students, and improving the emotional regulation ability has a positive significance to promote the mental health level among college students.

Objectives:To investigate the value of metagenomic next-generation sequencing (mNGS) in the diagnosis of Pneumocystis jirovecii pneumonia (PJP) in patients undergoing allogeneic hematopoietic stem cell transplantation (allo-HSCT) .Methods:The data of 98 patients with suspected pulmonary infection after allo-HSCT who underwent pathogen detection from bronchoalveolar lavage fluid between June 2016 and August 2023 at Nanfang Hospital were analyzed. The diagnostic performance of mNGS, conventional methods, and real-time quantitative polymerase chain reaction (qPCR) for PJP were compared.Results:A total of 12 patients were diagnosed with PJP, including 11 with a proven diagnosis and 1 with a probable diagnosis. Among the patients with a proven diagnosis, 1 was positive by both conventional methods and qPCR, and 10 were positive by qPCR only. Pneumocystis jirovecii was detected by mNGS in all 12 patients. The diagnostic sensitivity of mNGS for PJP was 100%, which was greater than that of conventional methods (8.3%, P=0.001) and similar to that of qPCR (91.6%, P=1.000) . A total of 75% of the patients developed mixed pulmonary infections, and cytomegalovirus and Epstein-Barr virus were the most common pathogens. Mixed infection was detected in eight patients by mNGS and in five patients by qPCR, but not by conventional methods ( P=0.008) . Conclusions:mNGS had good sensitivity for diagnosing PJP after allo-HSCT and was advantageous for detecting mixed infectious pathogens; therefore, mNGS might be an effective supplement to regular detection methods and qPCR.