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.

BACKGROUND: The contraction behaviors of cardiomyocytes (CMs), especially contraction synchrony, are crucial factors reflecting their maturity and response to drugs. A wider field of view helps to observe more pronounced synchrony differences, but the accompanied greater computational load, requiring more computing power or longer computational time. METHODS: We proposed a method that directly correlates variations in optical field brightness with cardiac tissue contraction status (CVB method), based on principles from physics and photometry, for rapid video analysis in wide field of view to obtain contraction parameters, such as period and contraction propagation direction and speed. RESULTS: Through video analysis of human induced pluripotent stem cell (hiPSC)-derived CMs labeled with green fluorescent protein (GFP) cultured on aligned and random nanofiber scaffolds, the CVB method was demonstrated to obtain contraction parameters and quantify the direction and speed of contraction within regions of interest (ROIs) in wide field of view. The CVB method required less computation time compared to one of the contour tracking methods, the LucasKanade (LK) optical flow method, and provided better stability and accuracy in the results. CONCLUSION This method has a smaller computational load, is less affected by motion blur and out-of-focus conditions, and provides a potential tool for accurate and rapid analysis of cardiac tissue contraction synchrony in wide field of view without the need for more powerful hardware.

BACKGROUND: The contraction behaviors of cardiomyocytes (CMs), especially contraction synchrony, are crucial factors reflecting their maturity and response to drugs. A wider field of view helps to observe more pronounced synchrony differences, but the accompanied greater computational load, requiring more computing power or longer computational time. METHODS: We proposed a method that directly correlates variations in optical field brightness with cardiac tissue contraction status (CVB method), based on principles from physics and photometry, for rapid video analysis in wide field of view to obtain contraction parameters, such as period and contraction propagation direction and speed. RESULTS: Through video analysis of human induced pluripotent stem cell (hiPSC)-derived CMs labeled with green fluorescent protein (GFP) cultured on aligned and random nanofiber scaffolds, the CVB method was demonstrated to obtain contraction parameters and quantify the direction and speed of contraction within regions of interest (ROIs) in wide field of view. The CVB method required less computation time compared to one of the contour tracking methods, the LucasKanade (LK) optical flow method, and provided better stability and accuracy in the results. CONCLUSION This method has a smaller computational load, is less affected by motion blur and out-of-focus conditions, and provides a potential tool for accurate and rapid analysis of cardiac tissue contraction synchrony in wide field of view without the need for more powerful hardware.

BACKGROUND: The contraction behaviors of cardiomyocytes (CMs), especially contraction synchrony, are crucial factors reflecting their maturity and response to drugs. A wider field of view helps to observe more pronounced synchrony differences, but the accompanied greater computational load, requiring more computing power or longer computational time. METHODS: We proposed a method that directly correlates variations in optical field brightness with cardiac tissue contraction status (CVB method), based on principles from physics and photometry, for rapid video analysis in wide field of view to obtain contraction parameters, such as period and contraction propagation direction and speed. RESULTS: Through video analysis of human induced pluripotent stem cell (hiPSC)-derived CMs labeled with green fluorescent protein (GFP) cultured on aligned and random nanofiber scaffolds, the CVB method was demonstrated to obtain contraction parameters and quantify the direction and speed of contraction within regions of interest (ROIs) in wide field of view. The CVB method required less computation time compared to one of the contour tracking methods, the LucasKanade (LK) optical flow method, and provided better stability and accuracy in the results. CONCLUSION This method has a smaller computational load, is less affected by motion blur and out-of-focus conditions, and provides a potential tool for accurate and rapid analysis of cardiac tissue contraction synchrony in wide field of view without the need for more powerful hardware.

BACKGROUND: The contraction behaviors of cardiomyocytes (CMs), especially contraction synchrony, are crucial factors reflecting their maturity and response to drugs. A wider field of view helps to observe more pronounced synchrony differences, but the accompanied greater computational load, requiring more computing power or longer computational time. METHODS: We proposed a method that directly correlates variations in optical field brightness with cardiac tissue contraction status (CVB method), based on principles from physics and photometry, for rapid video analysis in wide field of view to obtain contraction parameters, such as period and contraction propagation direction and speed. RESULTS: Through video analysis of human induced pluripotent stem cell (hiPSC)-derived CMs labeled with green fluorescent protein (GFP) cultured on aligned and random nanofiber scaffolds, the CVB method was demonstrated to obtain contraction parameters and quantify the direction and speed of contraction within regions of interest (ROIs) in wide field of view. The CVB method required less computation time compared to one of the contour tracking methods, the LucasKanade (LK) optical flow method, and provided better stability and accuracy in the results. CONCLUSION This method has a smaller computational load, is less affected by motion blur and out-of-focus conditions, and provides a potential tool for accurate and rapid analysis of cardiac tissue contraction synchrony in wide field of view without the need for more powerful hardware.

BACKGROUND: The contraction behaviors of cardiomyocytes (CMs), especially contraction synchrony, are crucial factors reflecting their maturity and response to drugs. A wider field of view helps to observe more pronounced synchrony differences, but the accompanied greater computational load, requiring more computing power or longer computational time. METHODS: We proposed a method that directly correlates variations in optical field brightness with cardiac tissue contraction status (CVB method), based on principles from physics and photometry, for rapid video analysis in wide field of view to obtain contraction parameters, such as period and contraction propagation direction and speed. RESULTS: Through video analysis of human induced pluripotent stem cell (hiPSC)-derived CMs labeled with green fluorescent protein (GFP) cultured on aligned and random nanofiber scaffolds, the CVB method was demonstrated to obtain contraction parameters and quantify the direction and speed of contraction within regions of interest (ROIs) in wide field of view. The CVB method required less computation time compared to one of the contour tracking methods, the LucasKanade (LK) optical flow method, and provided better stability and accuracy in the results. CONCLUSION This method has a smaller computational load, is less affected by motion blur and out-of-focus conditions, and provides a potential tool for accurate and rapid analysis of cardiac tissue contraction synchrony in wide field of view without the need for more powerful hardware.

In the treatment of persistent atrial fibrillation with radiofrequency ablation,it is often necessary to add the ablation of external trigger foci of pulmonary vein on the basis of annular pulmonary vein isolation,including linear ablation,BOX ablation and fragmentation potential ablation.The isthmus of mitral valve is the most important component of linear ablation,but it is difficult to reach the isthmus of mitral valve for complete blockade by conventional radiofrequency ablation.The guide catheter was transported through the inferior vena cava to the coronary sinus,and the injection of Marshall vein anhydrous ethanol for ablation could achieve epicardial and myocardial block in the mitral isthmus,and the ablation combined with the endocardial patch ablation in the mitral isthmus could significantly improve the ablation effect,but there were disadvantages such as Marshall vein and coronary vein injury,high surgical cost and long time.This paper reports a case of persistent atrial fibrillation treated by self-made perforated balloon with Marshall intravenous anhydrous ethanol combined with individualized ablation strategy.No major adverse cardiovascular events or recurrence of atrial fibrillation occurred during 6 months of follow-up after discharge.

Objective:To retrieve and evaluate the best evidence on the assessment and management of constipation in Parkinson's disease (PD) patients and provide clinical practitioners with evidence-based guidelines for effectively managing constipation in this patient group.Methods:A comprehensive literature search was conducted in databases including UpToDate, BMJ Best Practice, Cochrane Library, Joanna Briggs Institute Evidence-Based Healthcare Center, CINAHL, Medline, PubMed, National Institute for Health and Care Excellence, Evidence-Based Medicine database, Ovid, China National Knowledge Infrastructure, Wanfang Database, SinoMed, Chinese Guidelines Network, World Health Organization website, and various national PD, neurology, and gastroenterology associations' websites. The search covered literature from December 2018 to December 2023. The methodological quality of the retrieved literature was assessed, and relevant evidence was extracted and summarized.Results:A total of 12 articles were included: one clinical decision-making article, four clinical guidelines, three systematic reviews, and four expert consensus. Fifteen pieces of evidence were summarized from four aspects: screening and assessment, non-pharmacological interventions, pharmacological interventions, and health education.Conclusions:This study summarized the best evidence for the assessment and management of constipation in PD patients from various dimensions and provided evidence-based guidelines for clinical practitioners.

The update of multi-omics technology is a key means to promote the rapid development of accurate health model in the whole life cycle.It can formulate dynamic and accurate nursing measures and provide massive data information from the perspective of nursing biology of health and disease.At present,clinical nursing research faces many challenges such as insufficient application and transformation ability of multi-omics technology.This paper introduces the multi-omics technology,reviews the application status of multi-omics technology in cancer nursing,maternal and child nursing,chronic metabolic disease nursing and symptom management,and puts forward the cross integration and prospect of multi-omics technology and nursing research,so as to strengthen the information mining ability of nurses at different levels of health and disease,and provide an important basis for accelerating the clinical transformation of precision nursing.

Objective:To compare the short-term clinical efficacy and patient satisfaction of single-port assisted endoscopic breast-conserving surgery versus open approach in the treatment of female breast cancer patients.Methods:This study retrospectively analyzed the clinical data of 129 female breast cancer patients admitted to Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University from March 2022 to June 2023. In this study, 56 patients underwent breast-conserving surgery assisted by single-port endoscopy (endoscopic group) and 73 patients underwent conventional open breast-conserving surgery (conventional group).Results:Compared to the conventional group (73 cases), the endoscopic group (56 cases) had slightly longer operation time [(200.0±43.2) min vs. (185.3±56.5) min] and intraoperative blood loss [(34.0±25.4) ml vs. (27.2±21.8) ml, P>0.05]. The endoscopic group had a significantly shorter surgical incision length than the conventional group [(4.7±0.7) cm vs. (8.0±1.1) cm, P<0.05], the difference in postoperative tumor margin was not significant (endoscopic group: 3.5% vs. conventional group: 5.7%, P>0.05). In terms of postoperative complications, the endoscopic group had a significantly lower incidence of radiation-related skin reactions than the conventional group ( P<0.05). The endoscopic group had a higher satisfaction rate in terms of postoperative aesthetics (73.2% vs. 56.2%, P<0.05). Conclusions:The short-term clinical efficacy of breast-conserving surgery for female breast cancer by single-port assisted endoscopy is not inferior to that of conventional open breast-conserving surgery, with added better cosmetic results.