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 systematically evaluate the impact of pulmonary hypertension (PH) on the prognosis of patients with severe aortic stenosis (AS) undergoing transcatheter aortic valve replacement (TAVR). Methods A computerized search was conducted in CNKI, Wanfang Data, VIP, CBM, PubMed, The Cochrane Library, EMbase, and Web of Science databases from inception to June 2023 for cohort studies on the prognostic impact of PH in severe AS patients undergoing TAVR. Two researchers independently screened the literature, extracted data, and assessed the quality of included studies. Stata 17.0 software was used for meta-analysis. Results A total of 16 cohort studies were included, all with Newcastle-Ottawa Scale scores≥7. Meta-analysis results showed that, compared with AS patients without PH, those with PH had significantly higher 1-year all-cause mortality after TAVR [OR=2.10, 95%CI (1.60, 2.75), P<0.01], 30-day all-cause mortality [OR=2.09, 95%CI (1.54, 2.83), P<0.01], and cardiovascular mortality [OR=1.49, 95%CI (1.18, 1.90), P<0.01]. The differences between the two groups in major bleeding events, stroke, myocardial infarction, pacemaker implantation, and postoperative renal failure were not statistically significant. For outcome indicators with significant heterogeneity, subgroup analyses were performed based on PH measurement methods, diagnostic criteria, and different types of PH. The results showed that most subgroup combined results were consistent with the overall findings and that heterogeneity was significantly reduced. Conclusion PH significantly increases the 30-day all-cause mortality, 1-year all-cause mortality, and cardiovascular mortality in patients with severe AS undergoing TAVR.

Background::One of the significant challenges for cell therapies, such as chimeric antigen receptor (CAR)-T cell therapy, is the poor infiltration of immune cells into tumor tissues. CAR-monocytes/macrophages (CAR-M) are promising therapies because of their enrichment in the tumor microenvironment. Thus, we constructed a novel CAR-M to facilitate the infiltration of T cells and other immune cells.Methods::The suicide gene inducible caspase-9 ( iCasp9) and anti-erb-b2 receptor tyrosine kinase 2 (HER2) CAR elements were transfected into THP1 (an immortalized human monocyte cell line) by lentivirus. The suicide efficiency and specific anti-tumor efficacy were assessed using flow cytometry, inCucyte, and tumor-bearing BALB/c-nude mouse models. The activation of related signaling pathways in CAR-THP1 activation was explored by transcriptome sequencing. Finally, the synergistic therapeutic efficacy of CAR-THP1 combined with RAK cell treatment was demonstrated in tumor-bearing NOD.CB17-Prkdc scid Il2rg tm1/Bcgen mouse models. Results::We developed a novel CAR-THP1, which incorporated iCasp9, CD3ζ, and CD147 intracellular segments, based on the first-generation HER2-CAR backbone. By constructing and comparing a series of CARs with different permutations, CAR-CD3ζ-CD147-iCasp9-THP1 was selected as the optimal combination. CAR-CD3ζ-CD147-iCasp9-THP1 initiated suicide quickly and efficiently under the control of iCasp9 gene, which enabled us to achieve controlled proliferation of CAR-THP1. CAR-THP1 also exhibited robust specific anti-tumor efficacy independently of T cells in vitro and in vivo. Through transcriptional sequencing, we found that CAR-THP1 tended to differentiate into the M1 phenotype and bridged innate and adaptive immunity. A combination of CAR-THP1 and Retronectin actived killer cells (RAKs) showed better therapeutic efficiency, as the metalloproteinases (MMPs) secreted by CAR-THP1 facilitated the degradation of the dense tumor matrix. This further assisted intratumoral infiltration of T cells and augmented the anti-tumor immune response. Conclusion::CAR-THP1 might be effective against HER2-positive tumor cells and has great potential for combination therapy with other immune cells.

Modern Chinese medicine studies have confirmed that the interaction between traditional Chinese medicine(TCM)and intestinal flora is the key to the treatment of diseases with tradi-tional Chinese medicine.This interplay includes such activities as:traditional Chinese medicine can be metabolized by intestinal flora into effective components with different biological activities from its precursors;TCM chemicals improve the composition of gut microbiota,consequently ameliorating its dysfunction as well as associated pathological conditions;and gut microbiota mediate the interactions between the multiple chemicals in TCM.There-fore,it becomes an important way to understand the modern sci-entific connotation of traditional Chinese medicine theory to study the pharmacological mechanism of the efficacy of traditional Chi-nese medicine by targeting Gut microbiota.

To investigate the expression of serine metabolism related genes and inflammatory relat-ed genes in CD4+T cells of healthy and cows with ketosis.Firstly,CD4+T cells in peripheral blood of dairy cows were isolated by magnetic bead sorting.Second,expression of serine metabolism re-lated genes PHGDH,PAST1,PSPH,SHMT1,SHMT2,SDS,SFXN1 and inflammation related genes IL-6,IFN-γ,IL-17A,FOXP3,IL-10,TGF-β in CD4+T cells in healthy and ketosis cows was detected by fluorescence quantitative PCR.The transcription levels of PHGDH,PAST1 and PSPH in CD4+T cells of ketosis cows were significantly increased compared with healthy cows(P＜0.01),the transcription level and translation level of SDS were significantly increased(P＜0.01).The transcription levels of SHMT2 were significantly decreased(P＜0.05).Transcription and translation levels of SFXN1 were significantly decreased(P＜0.05).The transcription level of SHMT1 was decreased but not significantly.Compared with healthy cows,the transcription levels of IL-6,IFN-γ and IL-17A in CD4+T cells of ketosis cows were significantly increased(P＜0.01),the transcription levels of IL-10,TGF-β and FOXP3 were significantly decreased(P＜0.05).The results showed that the expression of genes related to serine synthesis increased,the expression of genes related to serine decomposition decreased,the expression of pro-inflammatory factors increased,and the expression of anti-inflammatory factors decreased,suggesting that serine metab-olism plays an important role in the inflammatory process of dairy cows.

Objective:To evaluate the safety and efficiency of China-made Toumai Robot-assisted laparoscopic radical prosta-tectomy(LRP).Methods:This study included 40 cases of PCa treated from January 2023 to May 2023 by robot-assisted LRP with preservation of the bladder neck and maximal functional urethral length,15 cases with the assistance of Toumai Robot(the TMR group)and the other 25 with the assistance of da Vinci Robot as controls(the DVR group).We recorded the docking time,laparo-scopic surgery time,vesico-urethral anastomosis time,intraoperative blood loss and postoperative urinary continence,and compared them between the two groups.Results:Operations were successfully completed in all the cases.No statistically significant differ-ences were observed between the TMR and DVR groups in the docking time(6 min vs 5 min,P＞0.05)or intraoperative blood loss(200 ml vs 150 ml,P＞0.05).The TMR group,compared with the DVR group,showed a significantly longer median laparoscopic surgery time(146 min vs 130 min,P＜0.05)and median vesico-urethral anastomosis time(19 min vs 16 min,P＜0.05).There were no statistically significant differences between the TMR and DVR groups in the rates of urinary continence recovery immediately af-ter surgery(60.0％[9/15]vs 64.0％[16/25],P＞0.05)or at 1 month(80.0％[12/15])vs(76.0％[19/25],P＞0.05),3 months(93.3％[14/15])vs(92.0％[23/25],P＞0.05)and 6 months postoperatively(100％[15/15])vs(96％[24/25],P＞0.05).Conclusion:China-made Toumai? Robot surgical system is safe and reliable for laparoscopic radical prosta-tectomy,with satisfactory postoperative recovery of urinary continence.

Objective:To establish a set of artificial intelligence (AI) verification rules for blood routine analysis.Methods:Blood routine analysis data of 18 474 hospitalized patients from the First Hospital of Jilin University during August 1st to 31st, 2019, were collected as training group for establishment of the AI verification rules,and the corresponding patient age, microscopic examination results, and clinical diagnosis information were collected. 92 laboratory parameters, including blood analysis report parameters, research parameters and alarm information, were used as candidate conditions for AI audit rules; manual verification combining microscopy was considered as standard, marked whether it was passed or blocked. Using decision tree algorithm, AI audit rules are initially established through high-intensity, multi-round and five-fold cross-validation and AI verification rules were optimized by setting important mandatory cases. The performance of AI verification rules was evaluated by comparing the false negative rate, precision rate, recall rate, F1 score, and pass rate with that of the current autoverification rules using Chi-square test. Another cohort of blood routine analysis data of 12 475 hospitalized patients in the First Hospital of Jilin University during November 1sr to 31st, 2023, were collected as validation group for validation of AI verification rules, which underwent simulated verification via the preliminary AI rules, thus performance of AI rules were analyzed by the above indicators. Results:AI verification rules consist of 15 rules and 17 parameters and do distinguish numeric and morphological abnormalities. Compared with auto-verification rules, the true positive rate, the false positive rate, the true negative rate, the false negative rate, the pass rate, the accuracy, the precision rate, the recall rate and F1 score of AI rules in training group were 22.7%, 1.6%, 74.5%, 1.3%, 75.7%, 97.2%, 93.5%, 94.7%, 94.1, respectively.All of them were better than auto-verification rules, and the difference was statistically significant ( P<0.001), and with no important case missed. In validation group, the true positive rate, the false positive rate, the true negative rate, the false negative rate, the pass rate, the accuracy, the precision rate, the recall rate and F1 score were 19.2%, 8.2%, 70.1%, 2.5%, 72.6%, 89.2%, 70.0%, 88.3%, 78.1, respectively, Compared with the auto-verification rules, The false negative rate was lower, the false positive rate and the recall rate were slightly higher, and the difference was statistically significant ( P<0.001). Conclusion:A set of the AI verification rules are established and verified by using decision tree algorithm of machine learning, which can identify, intercept and prompt abnormal results stably, and is moresimple, highly efficient and more accurate in the report of blood analysis test results compared with auto-vefication.

Objective:To evaluate the performance of key performance indicator (KPI) lean teaching management system in clinical medical laboratory.Methods:Combining lean teaching management in universities with KPI system of enterprises, an innovative KPI lean teaching management system was developed and applied in Clinical Medical Laboratory of Guangdong Provincial People′s Hospital (GDPH). A total of 106 teachers, who had worked from January 2021 to December 2022 in GDPH, joined this study. Teachers were divided into 8 professional groups. Firstly, we quantified the teaching workload by class hours, evaluated the teaching outcomes base on national, provincial, school, and college levels to assign different teaching points, and linked the teaching KPI scores to the evaluation, salary, and professional title of teachers. Then, we analyzed the overall teaching points and teaching points for each professional group (2021-2022). Finally, we asked teaching managers, teachers, and colleagues to evaluate the KPI lean teaching management system and compared the effects before and after the implementation of this system.Results:Compared with 2021, the teaching scores of 106 teachers increased significantly from 1.0 (0.2, 2.7) to 3.8 (2.3, 6.0) in 2022 ( Z=8.1, P<0.01). The teaching scores of clinical molecules, clinical coagulation, clinical immunology, clinical microbiology, Huifu laboratory, and clinical biochemistry group were significantly higher in 2022 than the scores they got in 2021 (all P<0.05). Compared with 2021, there were 3 new set up of educational reform projects, 2 submitted teaching articles, 3 new competition awards, 7 outstanding teachers, and 5 outstanding students in 2022. After application of KPI lean teaching management, the evaluation scores of teaching work by teaching managers, teachers, and colleagues are all significantly improved ( P<0.05). Conclusion:KPI lean teaching management system could effectively enhance teachers′ work initiative, improve teaching efficiency and outcome, and promote the teaching quality. Therefore, based on the performance of KPI lean teaching management system in our study, it is possible to realize its potential in terms of lean management in clinical medical laboratory.

Curettage is the main treatment method for oral maxillofacial cystic lesions,but simple curettage may easily damage surrounding structures such as adjacent teeth and nerves,leading to incomplete removal of the cyst and large jaw defects.The curettage assisted by endoscopy can provide a good surgical field for the surgeons,can clearly identify the important anatomical structure during the operation and can remove the cyst wall tissue as much as possible,thereby reducing the damage and reducing the recurrence rate of the lesion.This article combines the characteristics of maxillofacial surgery with clinical treatment experience,summarizes relevant literature from both domestic and international sources,and engages in discussions with experts in order to provide reference for the clinical treatment of jaw cystic lesions with endo-scope assisted curettage.

Neck dissection(ND)is one of the main treatment methods for oral and maxillofacial malignancies.Although ND type is in con-stant improvement,but intraoperative peal-pull-push injury of the accessory nerve,muscle,muscle membrane,fascia and ligament induced shoulder syndrome(SS)is still a common postoperative complication,combined with the influence of radiochemotherapy,not only can cause pain,stiffness,numbness,limited dysfunction of shoulder neck and arm,but also may have serious impact on patient's life quality and phys-ical and mental health.At present,there is still a lack of a systematic evaluation and rehabilitation management program for postoperative SS of oral and maxillofacial malignant tumors.Based on the previous clinical practice and the current available evidence,refer to the relevant lit-erature at home and abroad,the experts in the field of maxillofacial tumor surgery and rehabilitation were invited to discuss,modify and reach a consenusus on the etiology,assessment diagnosis,differential diagnosis,rehabilitation strategy and prevention of SS,in order to provide clinical reference.