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.

Lenvatinib, a second-generation multi-receptor tyrosine kinase inhibitor approved by the FDA for first-line treatment of advanced liver cancer, facing limitations due to drug resistance. Here, we applied a multidimensional, high-throughput screening platform comprising patient-derived resistant liver tumor cells (PDCs), organoids (PDOs), and xenografts (PDXs) to identify drug susceptibilities for conquering lenvatinib resistance in clinically relevant settings. Expansion and passaging of PDCs and PDOs from resistant patient liver tumors retained functional fidelity to lenvatinib treatment, expediting drug repurposing screens. Pharmacological screening identified romidepsin, YM155, apitolisib, NVP-TAE684 and dasatinib as potential antitumor agents in lenvatinib-resistant PDC and PDO models. Notably, romidepsin treatment enhanced antitumor response in syngeneic mouse models by triggering immunogenic tumor cell death and blocking the EGFR signaling pathway. A combination of romidepsin and immunotherapy achieved robust and synergistic antitumor effects against lenvatinib resistance in humanized immunocompetent PDX models. Collectively, our findings suggest that patient-derived liver cancer models effectively recapitulate lenvatinib resistance observed in clinical settings and expedite drug discovery for advanced liver cancer, providing a feasible multidimensional platform for personalized medicine.

OBJECTIVE To establish characteristic chromatogram of Yao medicine Kadsura longipedunculata and the method for the content determination of its main component anwulignan， and evaluate the anti-inflammatory activity of anwulignan. METHODS HPLC method was performed with acetonitrile-0.5% phosphoric acid solution as the mobile phase for gradient elution. The characteristic chromatogram of K. longipedunculata was established and similarity was evaluated by Similarity Evaluation System for Chromatographic Fingerprint of TCM （2012 edition）. The content of anwulignan in K. longipedunculata was determined. Lipopolysaccharide induced RAW264.7 macrophages were selected as inflammatory cell model to investigate the effects of anwulignan on the levels of tumor necrosis factor-α （TNF-α）， interleukin-1β （IL-1β） and IL-6. RESULTS The similarities of characteristic chromatogram for 10 batches of K. longipedunculata ranged 0.901-0.994， and 9 common peaks were determined； 3 components were identified， such as changnan schisantherin E， kadsulactone A， anwulignan. The contents of anwulignan were （0.72±0.05）-（1.21±0.03） mg/g（n＝3）. Anwulignan of 0.125-0.5 μg/mL greatly decreased the levels of TNF-α， IL-1β and IL-6 in the supernatant of inflammatory model cells （P＜0.05 or P＜0.01）. CONCLUSIONS HPLC characteristic chromatogram of K. longipedunculata and the method for the content determination of anwulignan are all established， and anwulignan may be the active ingredient of anti-inflammatory effect in K. longipedunculata.

Minimal access breast surgery with the assistance of an endoscopy or robot has been an important advancement in surgical treatment in recent years. Compared to conventional open surgery, minimal access breast surgery only requires small incisions in concealed areas such as axillary fossa, avoiding visible scars on the surface of the breast, significantly improving the postoperative aesthetic appearance and patient satisfaction. With the rapid development of minimal access breast surgery, several institutions have established their own distinctive techniques. The concept of membrane anatomy in the breast, for example, has led to more natural-looking breast reconstruction following endoscopic procedures. The adoption of the reverse space dissection technique has greatly optimized the workflow of endoscopic breast cancer resection. Intraoperative navigation system for endoscopic breast-conserving surgery could allow precise localization of excision margins. Furthermore, the widespread use of the cold dissection technique for flap separation has reduced surgical duration and minimized flap damage. The emergence of unique techniques in the field of minimal access breast surgery promises to further advance and promote the adoption of minimal access breast surgery in China.

Objective:To examine the postoperative prosthesis-related complications, short-term surgical outcomes and patient satisfaction with breast reconstruction between patients who underwent endoscopic assisted versus conventional nipple sparing mastectomy and immediate prothesis breast reconstruction.Methods:This study was a retrospective cohort study. A retrospective analysis was performed on clinical data of 104 women with breast cancer who received nipple sparing mastectomy and immediate prothesis breast reconstruction from August 2021 to August 2022 at the Breast Tumor Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University. They were divided into two groups according to the surgical approach. A total of 53 patients, aged (43.3±9.9) years (range: 25 to 66 years), underwent endoscopic nipple sparing mastectomy (E-NSM group) and immediate prothesis breast reconstruction. The other 51 patients aged (39.9±7.8) years (range: 25 to 54 years) underwent conventional open surgery (C-NSM group). Short-term surgical outcomes including operation time, postoperative hospital stay, postoperative blood loss, and postoperative drainage volume in 2 days were recorded. Patient satisfaction with breast reconstruction was compared using the Wilcoxon rank sum test. Postoperative prothesis-related complications were investigated to determine the experience to deal with them.Results:No postoperative prosthesis-related infection, prosthesis loss, or necrosis of the nipple-areola complex occurred in the E-NSM group, while 1 patient suffered from hematoma, whose wound was skinned with resuture after disinfection. Five patients in the C-NSM group had prosthesis-related infection, 2 of them received prosthesis removal surgery combined with sufficient antimicrobial agent, another one underwent surgery for subcutaneous placement of the drain, as well as antimicrobial agent therapy, and the rest of them healed up only with antimicrobial agent therapy. All recovered well after treatment. One patient recovered from necrosis of the nipple-areola complex through periodic iodophor disinfection and dressing which ended in improvement of necrotic areas, another patient who had hematoma accepted the same treatment mentioned above and also healed. All the patients mentioned above are now in stable conditions. Patients in the E-NSM group had higher satisfaction with the cosmetic results of the breast prosthesis implant than those in the C-NSM group ( Z=-4.511, P<0.01). Conclusions:Both surgical approaches were proven to be safe and effective with a low rate of postoperative prosthesis-related complications. Patients in the E-NSM group were more satisfied with the cosmetic results of breast reconstruction than those in the C-NSM group.