The deficiency of fingers due to various reasons leads to a certain degree of loss of full or part hand functions. Physical and mental health of patients are seriously affected, and patients have varying degrees of reduced quality of life. Prosthesis fingers play an important role in completing the body shape and enhancing patients’ self-confidence and self-esteem. However, how to make prosthesis fingers perform coordinated movements and restore complete functions is a crucial problem that urgently needs to be solved. This paper reviews the methods of brain-computer interface controlled fine finger movements and elaborates on the origin, current situation, and advancements of the development of this technology, laying a foundation for subsequent research, with the expectation of helping patients solve the problems arising from the insufficiency or absence of finger functions.

ObjectiveTo clarify the associations between plasma fibrinogen （Fbg） and volumetric bone mineral density （vBMD） as well as osteoporosis measured by quantitative computed tomography （QCT）， and to explore the role of plasma Fbg in early screening and diagnosis of osteoporosis. MethodsPatients with hypertension who were hospitalized in the Department of Endocrinology of Sun Yat-sen Memorial Hospital of Sun Yat-sen University from January 2018 to June 2022 and underwent QCT examinations were included for cross-sectional analysis. The study analyzed the correlation between plasma Fbg and osteoporosis in patients. The diagnostic efficacy of plasma Fbg for osteoporosis was evaluated by the area under the receiver operating characteristic （ROC） curve （AUC）. ResultsTotally 441 subjects were included in the analysis， with an average age of 46.0±14.5 years and a prevalence of osteoporosis of 6.4% （28/441）. As the level of plasma fibrinogen increased， the incidence of osteoporosis significantly increased （P<0.000 1）while the average bone mineral density of L1 and L2 were significantly decreased （P<0.05）. Compared with the first quartile of plasma Fbg（1.99g/L -2.37g/L）， the risk of osteoporosis in the fourth quartile of plasma Fbg （3.67g/L-4.46g/L） increased by 8.85 times after adjusting for related confounding factors. ConclusionThis study found a negative correlation between plasma fibrinogen levels and bone density in patients with hypertension. Plasma fibrinogen levels may serve as a potential screening indicator for osteoporosis， aiding in early diagnosis and therapeutic monitoring. This discovery offers a new perspective for the study of bone metabolic diseases and warrants further investigation.

As a common malignant tumor of the respiratory system， the incidence and mortality of lung cancer are still rising year by year. Its pathogenesis is complex， the prognosis is poor， and it seriously affects human physical and mental health. Although existing Western medical treatments can inhibit tumor growth to a certain extent and relieve patients' painful symptoms， problems such as postoperative recurrence and metastasis， numerous adverse reactions， and the tendency to develop drug resistance make the overall therapeutic effect unsatisfactory. Therefore， it is urgent to seek more efficient and safer treatments. Adenosine monophosphate-activated protein kinase （AMPK） signaling pathway can regulate the growth， differentiation， apoptosis， and autophagy of lung cancer cells， and is extensively involved in the occurrence and development of lung cancer， thus being regarded as an important target for anti-lung cancer therapy. Traditional Chinese medicine （TCM） exerts anti-lung cancer effects through multiple pathways， mechanisms， and targets， with advantages such as preventing postoperative recurrence and metastasis， alleviating the adverse reactions of radiotherapy and chemotherapy， and improving quality of life. TCM has therefore become a key approach in current anti-lung cancer treatment. Studies have found that active components of Chinese medicine， including flavonoids， saponins， polyphenols， and terpenes， as well as Chinese medicine compound prescriptions such as Guiqi Yiyuan extract， Qingzao Jiufei decoction， and Yiqi Fuzheng formula， have significant regulatory effects on AMPK and its interacting signaling pathways. These effects include inducing autophagy and apoptosis of lung cancer cells， modulating macrophage polarization， inhibiting epithelial-mesenchymal transition， reversing drug resistance， and blocking the cell cycle， thereby exerting anti-lung cancer activity. This article reviews and summarizes recent studies on the anti-lung cancer effects of TCM， and discusses the mechanisms by which TCM regulates the AMPK signaling pathway in the treatment of lung cancer， with the aim of providing ideas and references for the development of new clinical anti-lung cancer drugs.

As a common malignant tumor of the respiratory system， the incidence and mortality of lung cancer are still rising year by year. Its pathogenesis is complex， the prognosis is poor， and it seriously affects human physical and mental health. Although existing Western medical treatments can inhibit tumor growth to a certain extent and relieve patients' painful symptoms， problems such as postoperative recurrence and metastasis， numerous adverse reactions， and the tendency to develop drug resistance make the overall therapeutic effect unsatisfactory. Therefore， it is urgent to seek more efficient and safer treatments. Adenosine monophosphate-activated protein kinase （AMPK） signaling pathway can regulate the growth， differentiation， apoptosis， and autophagy of lung cancer cells， and is extensively involved in the occurrence and development of lung cancer， thus being regarded as an important target for anti-lung cancer therapy. Traditional Chinese medicine （TCM） exerts anti-lung cancer effects through multiple pathways， mechanisms， and targets， with advantages such as preventing postoperative recurrence and metastasis， alleviating the adverse reactions of radiotherapy and chemotherapy， and improving quality of life. TCM has therefore become a key approach in current anti-lung cancer treatment. Studies have found that active components of Chinese medicine， including flavonoids， saponins， polyphenols， and terpenes， as well as Chinese medicine compound prescriptions such as Guiqi Yiyuan extract， Qingzao Jiufei decoction， and Yiqi Fuzheng formula， have significant regulatory effects on AMPK and its interacting signaling pathways. These effects include inducing autophagy and apoptosis of lung cancer cells， modulating macrophage polarization， inhibiting epithelial-mesenchymal transition， reversing drug resistance， and blocking the cell cycle， thereby exerting anti-lung cancer activity. This article reviews and summarizes recent studies on the anti-lung cancer effects of TCM， and discusses the mechanisms by which TCM regulates the AMPK signaling pathway in the treatment of lung cancer， with the aim of providing ideas and references for the development of new clinical anti-lung cancer drugs.

ObjectiveEndothelial cell dysfunction being the core link. This study explores the molecular mechanism of Danshen Tongluo formula in treating coronary artery disease-dominated panvascular disease with endothelial cell changes as the core through animal experiments and single-cell transcriptome sequencing. MethodsA rat model of coronary artery disease-dominated panvascular disease was established by ligating the left anterior coronary artery. Rats were randomized into a blank group， a model group， and a Danshen Tongluo formula （28 mg·kg^-1·d^-1） group. The efficacy was evaluated by examining the cardiac ultrasound， determination of the plasma level of N-terminal pro-brain natriuretic peptide， and pathological staining. After single-cell sequencing， SingleR package， public datasets， and related literature were used for annotation of the cells. Cell chat was used for intercellular communication and ligand-receptor analysis， and scmetabolism was used for metabolic analysis of endothelial cells. ResultsAnimal experiments showed that Danshen Tongluo formula reduced the N-terminal pro-brain natriuretic peptide （ NT-proBNP ） level （P<0.05）， ameliorated myocardial cell damage and fibrosis， and increase left ventricular ejection fractions （LVEF） in the rat model of heart failure after myocardial infarction（P<0.05）. Single-cell sequencing results showed that Danshen Tongluo formula increased the proportion of arterial endothelial cells， venous endothelial cells， and capillary-arterial endothelial cells， while reducing the proportion of capillary-venous endothelial cells. In addition， this formula increased the interaction intensity of endothelial cells with cardiomyocytes and M1 macrophages and reduced the interaction intensity of endothelial cells with fibroblasts and T cells. Danshen Tongluo formula upregulated CXCL12-CXCR4 signaling in endothelium-B cells and Ptprm-Ptprm signaling in endothelial endothelial cells， while downregulating Mif-（CD74⁺CXCR44） signaling in endothelium-M1 macrophages and Mif-（CD74⁺CD44） signaling in endothelium-M2 macrophages. It reduced the citric acid cycle， oxidative phosphorylation， and glycolysis and increased the glycolysis/oxidative phosphorylation ratio in endothelial cells. GO and KEGG enrichment analysis showed that arterial endothelial cells， venous endothelial cells， and venous capillary endothelial cells can all regulate oxidative phosphorylation， cell adhesion molecules， and tyrosine metabolism. Lymphatic endothelial cells regulate immunity and vascular constriction to participate in the metabolism of various amino acids and fatty acids. ConclusionDanshen Tongluo Formula can ameliorate coronary artery disease-dominated panvascular disease by changing the composition of endothelial cells and regulating the communication between myocardial endothelial cells and non-endothelial cells.

Gastrointestinal tumors （GTs）， including colorectal cancer， gastric cancer， liver cancer， pancreatic cancer， and esophageal cancer， are increasing in incidence worldwide and have become one of the major diseases threatening human health. Tumor stem cells （TSCs）， an undifferentiated subpopulation within tumor tissues， possess biological characteristics such as self-renewal， multidirectional differentiation， high tumorigenicity， and resistance to radiochemotherapy. They play an important role in the occurrence， progression， recurrence， and metastasis of GTs and have increasingly become a research hotspot in GT treatment. Although modern medicine has made remarkable progress， there remain many problems in therapeutic approaches targeting TSCs. In this context， traditional Chinese medicine （TCM）， with its favorable safety profile and multi-target mechanisms， has shown potential advantages and value in regulating TSCs. It can reduce TSC drug resistance， enhance the sensitivity of tumor cells to chemotherapeutic agents， inhibit tumor growth and metastasis， and has shown unique advantages in improving the quality of life and prolonging the survival of GT patients. Studies have found that active components of Chinese medicine， such as terpenoids， polyphenols， flavonoids， glycosides， and quinones， and Chinese medicine compound formulas， including Zuojin pills， Sijunzi decoction， Biejiajian pills， and Xuanfu Daizhe decoction， can inhibit TSCs-related signaling pathways such as the Notch signaling pathway， the Wnt/β-catenin signaling pathway， the phosphatidylinositol 3-kinase/protein kinase B （PI3K/Akt） signaling pathway， and the Hippo signaling pathway. They also reduce the expression of TSC surface markers， including sex-determining region Y-box 2 （SOX2）， sex-determining region Y-box 9 （SOX9）， octamer-binding transcription factor 4 （OCT4）， prominin-1 （CD133）， cluster of differentiation 44 （CD44）， cluster of differentiation 24 （CD24）， and thyroid transmembrane protein 1 （CD90）， thereby hindering TSC differentiation， accelerating their metabolic processes， improving the tumor microenvironment， and consequently inhibiting GT growth. This study collects and analyzes recent research on the regulation of TSCs by TCM in the treatment of GT， aiming to provide a new theoretical basis for tumor therapy with TCM， expand its application in the comprehensive treatment of GT， and offer new therapeutic ideas and methods for clinical practice.

Background::Limited information exists regarding the impact of severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) infection on psoriasis patients. The objective of this study was to identify clinical factors associated with the prognosis of psoriasis following SARS-CoV-2 infection.Methods::A retrospective, multicenter study was conducted between March and May 2023. Univariable and multivariable logistic regression analyses were employed to identify factors associated with coronavirus disease 2019 (COVID-19)-related psoriasis outcomes. The study included 2371 psoriasis patients from 12 clinical centers, with 2049 of them having been infected with SARS-CoV-2.Results::Among the infected groups, lower exacerbation rates were observed in individuals treated with biologics compared to those receiving traditional systemic or nonsystemic treatments (22.3% [236/1058] vs. 39.8% [92/231] vs. 37.5% [140/373], P <0.001). Psoriasis progression with lesions (adjusted odds ratio [OR] = 8.197, 95% confidence interval [95% CI] = 5.685–11.820, compared to no lesions), hypertension (adjusted OR = 1.582, 95% CI = 1.068–2.343), traditional systemic (adjusted OR = 1.887, 95% CI= 1.263–2.818), and nonsystemic treatment (adjusted OR= 1.602, 95% CI= 1.117–2.297) were found to be associated with exacerbation of psoriasis after SARS-CoV-2 infection, but not biologics (adjusted OR = 0.931, 95% CI = 0.680–1.274, compared to no treatment), according to multivariable logistic regression analysis. Conclusions::A reduced risk of psoriasis exacerbation after SARS-CoV-2 infection was observed with biologics compared to traditional systemic and nonsystemic treatments. Significant risk factors for exacerbation after infection were identified as existing psoriatic lesions and hypertension.

Objective To investigate the differences in blood pressure phenotypes,renal pathological changes,and related pathogenic pathways in genetically diverse hypertensive mice obtained from 13 strains.Methods The genotypes of Cckbr+/+,Cckbr+/-and Cckbr-/-were obtained by hybridization of 13 strains of genetically diverse mice with Cckbr-/-mice.Blood pressure was measured with a noninvasive blood pressure analysis system(BP-2000).The expression of CCKBR protein in mouse kidney tissue was detected by Western Blot,and the pathological changes in mouse kidney tissue were detected by hematoxylin-eosin(HE)staining and immunohistochemistry(IHC).The pathogenic pathways related to essential hypertension were screened by RNA sequencing.Results In three specific mouse strains(A/J,LOT,and FIM),the systolic blood pressure(SBP)was significantly different between the Cckbr-/-and Cckbr+/+groups.HE staining and IHC showed that hypertension caused a certain degree of renal injury in the mice.Gene Ontology(GO)and pathway enrichment analysis showed that differentially expressed genes were enriched in metabolic processes and circadian rhythm regulation.Conclusions Genetically diverse mice can effectively simulate the genetic background of the population and provide a new resource for studying the pathogenic genes related to essential hypertension.

Objective:To construct machine learning-based delirium prediction models for ICU patients with multiple trauma and evaluate their prediction efficiency.Methods:A retrospective case-control study was conducted to analyze the clinical data of 417 ICU multiple trauma patients admitted to the First Affiliated Hospital of Zhengzhou University from July 2019 to June 2022, including 305 males and 112 females, aged 18-88 years [(47.8±15.7)years]. The score of acute physiology and chronic health status assessment II (APACHE II) was 0-50 points [(9.80±0.29)points]. The patients were randomly divided into training set ( n=291) and test set ( n=126) with a ratio of 7∶3. The demographic data, past history, treatment and laboratory results of the patients were collected. Lasso regression analysis was applied to screen variables that were significantly correlated to the incidence of delirium in the training set and the variables were then included into the machine learning models. Six machine learning methods including the random forest, gradient boosting tree, extreme gradient boosting, logistic regression, support vector machine and K nearest neighbor were used to construct the delirium prediction models for ICU multiple trauma patients. The accuracy, sensitivity, precision, F1 fraction and area under the curve (AUC) of the receiver′s operating characteristics (ROC) curve were calculated by using the data in the test set to evaluate the prediction efficiency of the models. Results:With regards to the six prediction models, namely random forests, gradient boosting tree, extreme gradient boosting, logistic regression, support vector machine and K nearest neighbor prediction models, the accuracy in the test set was 0.70, 0.68, 0.69, 0.73, 0.70 and 0.60 respectively; the sensitivity was 0.74, 0.80, 0.81, 0.86, 0.85 and 0.69 respectively; the precision was 0.72, 0.69, 0.70, 0.73, 0.71 and 0.65 respectively; the F1 fraction was 0.73, 0.74, 0.75, 0.79, 0.78 and 0.67 respectively; the AUC was 0.72, 0.73, 0.72, 0.80, 0.74 and 0.64 respectively. Among them, the logistic regression model had the best discriminability.Conclusion:Delirium prediction models for ICU patients with multiple trauma have been successfully constructed, among which the logistic regression model has the best prediction efficiency and can serve as an effective tool for early prediction and prevention of delirium in the clinical care of patients with multiple trauma.

Objective To analyze the application value of modified anterior pelvic floor reconstruction operation in pelvic organ prolapse.Methods A retrospective analysis was adopted.A total of 141 patients with pelvic floor reconstruction surgery in the obstetrics and gynecology department of Chongqing Municipal Ma-ternal and Child Health Care Hospital from January 2020 to December 2021 were included.The patients were divided into the observation group(modified anterior pelvic floor reconstruction operation,n=78)and control group(classic anterior pelvic floor reconstruction operation,n=63)according to the operation methods.The perioperative indicators,pelvic organ prolapse quantitation(POP-Q)score before and after operation,objective cure rate after operation,recurrence situation and pelvic floor quality of life score before and after operation were compared between the two groups.Results There was no significant difference in the surgical time,bleeding volume,duration of antibacteriakl drug use,and length of hospital stay between the two groups(P＞0.05).The POP-Q scores after surgerynin the two groups were signbificantly increase compared with before operation,and the objective cure rate in postoperative 12 months in the observation group was significantly higher than that in the control group at 12 months after surgery(91％.0 vs.81.0％,P＜0.05).There was no recurrence in the observation group after one year follow-up,while there were two cases of recurrence in the control group.The scores of the pelvic floor distress inventory short form 20(PFDI-20),pelvic floor impact questionnake,short form 7(PFIQ-7),and pelvic organ prolapse/incontinence sexual function questionnaire-12(PISQ-12)in 1 month after surgery in the two groups had statisticallyu significant differences compared with those before surgery(P＜0.05).After one year of follow-up,the patient global impression of improvement(PGI-I)score in the observation group was significantly lower than that in the control group(P＜0.05).Con-clusion The modified anterior pelvic floor reconstruction operation can effectively improve the quality of life in the patients,moreover the patients are not easy to relapse,so which is a new type of operation worthy of promotion.