Knee osteoarthritis(KOA)is a chronic degenerative joint disease,which poses a major challenge particularly among the elderly population due to its high incidence and high disability.Imaging examination has been used commonly to diagnose KOA.However,it faces imitations in predicting disease progression due to the lack of prior information and constraints in manpower and time.With the rapid evolution of big data and computational technologies,artificial intelligence(AI)is progressively integrating into various healthcare domains.Therefore,the integration of artificial intelligence(AI)into healthcare holds promise for revolutionizing KOA diagnosis and treatment.AI-assisted diagnostic models have demonstrated the potential to automate diagnosis,classify disease severity,and predict disease progression with improved efficiency and accuracy.In addition,these models provide personalized diagnosis and treatment options,as well as accurate disease progression risk assessment.Despite these promising outcomes,challenges such as high costs associated with data annotation and limitations in model generalization capabilities persist.This paper reviews recent advancements in AI applications and summarizes the potential value of utilizing AI applications for KOA.To further enhance the utilization of AI in KOA management to overcome current limitations,future efforts should focus on standardizing clinical sample databases,optimizing AI algorithms,and enhancing external verification sets.

Objective To identify differentially expressed genes(DEGs)during the early stage of differentiation of human embryonic stem cells(hESCs)into insulin-producing cells(IPCs)and construct the microRNA(miRNA)-mRNA regulatory network.Methods The datasets GSE42094 from Gene Expression Omnibus(GEO)were employed in this study and included hESCs,Diff1,Diff2,Diff3,Diff4 and IPCs groups.DEGs in the Diff1 group were selected and gene ontology(GO)and Keyoto Encyclopedia of Genes and Genomes(KEGG)pathway were deciphered.The miRNAs associated with DEGs were predicted and the miRNA-mRNA regulatory network was visualized.Then the predicted miRNA was validated by paper result.Results GO result demonstrated that the significant term of biological process were"cell migration involved in gastrulation"and"SMAD protein signal transduction".The KEGG pathway analysis indicated that"transformating growth factor(TGF)-beta signaling pathway"and"Signaling pathways regulating pluripotency of stem cells"played essential roles for 28 DEGs in the Diff1 group.To predict miRNA associated with DEGs,we found that miR-335-5p may regulate expressions of CDA,IFITM1,FREM1,FGF17 and ROR2 genes.There were 26 miRNAs which were validated by result of paper.Conclusion The miRNA-mRNA regulatory network plays an essential role during the early stage of the induction of IPCs.

Objective: To investigate the effects of polydatin on a high-fat diet-induced non-alcoholic fatty liver disease(NAFLD) mouse model and hepatoma G2(HepG2) cell model, and to reveal its potential molecular mechanisms. Methods: Thirty 6-week-old male SPF C57BL/6J mice were randomly divided into a normal diet group and a high-fat diet group. After the NAFLD mouse model was established in the high-fat diet group, they were further divided into a model group and a polydatin treatment group. The polydatin treatment group was administered polydatin by gavage at a dose of 250 mg/(kg·d) for 10 weeks, during which body weight was monitored and oral glucose and insulin tolerance tests were performed. At the end of the experiment, a series of tests to evaluate the effects of polydatin on mouse liver weight, blood lipids, liver lipid accumulation, and liver injury markers were performed. The expression of G0/G1 switch gene 2(G0S2) and adipose triglyceride lipase(ATGL) was measured by qRT-PCR and Western blot, and gene expression was further verified using immunohistochemical staining. The effects of polydatin on HepG2 cell activity was assessed by CCK-8 assay, lipid accumulation was observed by oil red O staining, and the expression of G0S2 and ATGL was detected by qRT-PCR and Western blot. Results: Polydatin significantly reduced the body weight, liver weight, and serum and liver tissue levels of aspartate aminotransferase(AST), alanine aminotransferase(ALT), triglyceride(TG), and total cholesterol (TC) in mice (P < 0. 05) , al⁃leviated pathological liver damage , decreased G0S2 expression (P < 0. 05) , and increased ATGL expression (P <0. 05) . At the cellular level , polydatin reduced lipid droplet accumulation , improved lipid metabolism , decreased G0S2 expression ( P < 0. 05 ) , and increased ATGL expression ( P < 0. 05 ) . Even in cells with knockdown of G0S2 , polydatin still promoted fat decomposition (P < 0. 01) . Conclusion Polydatin promotes hepatic fat break⁃down by regulating the expression of G0S2 and ATGL , helping to alleviate metabolic disorders and liver damage in the NAFLD mouse model caused by a high⁃fat diet , offering a new strategy for treating NAFLD.

BACKGROUND: The effects of human umbilical cord-derived mesenchymal stem cell (UC-MSC) treatment on coronavirus disease 2019 (COVID-19) patients have been preliminarily characterized. However, real-world data on the safety and efficacy of intravenous transfusions of MSCs in hospitalized COVID-19 patients at the convalescent stage remain to be reported. METHODS: This was a single-arm, multicenter, real-word study in which a contemporaneous external control was included as the control group. Besides, severe and critical COVID-19 patients were considered together as the severe group, given the small number of critical patients. For a total of 110 patients, 21 moderate patients and 31 severe patients were enrolled in the MSC treatment group, while 26 moderate patients and 32 severe patients were enrolled in the control group. All patients received standard treatment. The MSC treatment patients additionally received intravenous infusions of MSCs at a dose of 4 × 10 7 cells on days 0, 3, and 6, respectively. The clinical outcomes, including adverse events (AEs), lung lesion proportion on chest computed tomography, pulmonary function, 6-min walking distance (6-MWD), clinical symptoms, and laboratory parameters, were measured on days 28, 90, 180, 270, and 360 during the follow-up visits. RESULTS: In patients with moderate COVID-19, MSC treatment improved pulmonary function parameters, including forced expiratory volume in the first second (FEV1) and maximum forced vital capacity (VCmax) on days 28 (FEV1, 2.75 [2.35, 3.23] vs . 2.11 [1.96, 2.35], P  = 0.008; VCmax, 2.92 [2.55, 3.60] vs . 2.47 [2.18, 2.68], P  = 0.041), 90 (FEV1, 2.93 [2.63, 3.27] vs . 2.38 [2.24, 2.63], P  = 0.017; VCmax, 3.52 [3.02, 3.80] vs . 2.59 [2.45, 3.15], P  = 0.017), and 360 (FEV1, 2.91 [2.75, 3.18] vs . 2.30 [2.16, 2.70], P  = 0.019; VCmax,3.61 [3.35, 3.97] vs . 2.69 [2.56, 3.23], P  = 0.036) compared with the controls. In addition, in severe patients, MSC treatment notably reduced the proportion of ground-glass lesions in the whole lung volume on day 90 ( P  = 0.045) compared with the controls. No difference in the incidence of AEs was observed between the two groups. Similarly, no significant differences were found in the 6-MWD, D-dimer levels, or interleukin-6 concentrations between the MSC and control groups. CONCLUSIONS: Our results demonstrate the safety and potential of MSC treatment for improved lung lesions and pulmonary function in convalescent COVID-19 patients. However, comprehensive and long-term studies are required to confirm the efficacy of MSC treatment. TRIAL REGISTRATION Chinese Clinical Trial Registry, ChiCTR2000031430.
Humans ; COVID-19/therapy* ; Female ; Male ; Mesenchymal Stem Cell Transplantation/adverse effects* ; Middle Aged ; Adult ; Umbilical Cord/cytology* ; Mesenchymal Stem Cells/cytology* ; SARS-CoV-2 ; Aged ; Treatment Outcome

Malignant proliferating liver cancer cells possess the ability to detect and respond to various body signals, thereby facilitating tumor growth, invasion, and metastasis. One crucial mechanism through which hepatocellular carcinoma (HCC) cells interpret these signals is crosstalk. Within liver cancer tissues, cancer cells engage in communication with hepatic stellate cells (HSCs), tumor-associated macrophages (TAMs), and immune cells. This interaction plays a pivotal role in regulating the proliferation, invasion, and metastasis of HCC cells. Crosstalk occurs in multiple ways, each characterized by distinct functions. Its molecular mechanisms primarily involve regulating immune cell functions through the expression of specific receptors, such as CD24 and CD47, modulating cell functions by secreting cytokines like transforming growth factor-β (TGF-β) and platelet-derived growth factor (PDGF), and mediating cell growth and proliferation by activating pathways such as Wnt/β-catenin and Hedgehog. A comprehensive understanding of the mechanisms and interactions within crosstalk is essential for unraveling the pathogenesis of HCC. It also opens up new avenues for the development of innovative therapeutic strategies. This article reviews the relationship between crosstalk and the progression of HCC, offering insights and inspiration for future research.
Humans ; Carcinoma, Hepatocellular/metabolism* ; Liver Neoplasms/metabolism* ; Hepatic Stellate Cells/physiology* ; Disease Progression ; Signal Transduction/physiology* ; Transforming Growth Factor beta/metabolism* ; Cell Proliferation ; Hedgehog Proteins/metabolism* ; Tumor-Associated Macrophages ; Platelet-Derived Growth Factor/metabolism* ; Cell Communication/physiology*

Objective:To investigate the effects of short-peptide-based enteral nutrition on nutritional status, immune function, and chemotherapy-related adverse reactions in children with acute lymphoblastic leukemia (ALL).Methods:A total of 106 children with ALL receiving chemotherapy at the Affiliated Hospital of Jining Medical University between January 2021 and April 2022 were enrolled. According to the principle of between-group baseline data matching, the patients were divided into observation group and control group by random number table method, with 53 cases in each group. All patients received chemotherapy according to the CCCG-ALL-2020 protocol established by the Multi-center Cooperative Group of the Chinese Society of Pediatric Oncology (2020). The control group received a regular diet, while the observation group received a regular diet supplemented with short-peptide-based enteral nutrition. The incidence rates of malnutrition, hypoproteinemia, hypoalbuminemia, abnormal immunoglobulin levels (IgG, IgM, IgA), and adverse reactions (liver injury, infection) were compared between both groups before chemotherapy and at the end of each of the following seven chemotherapy phases: Induction remission therapy (PVDL), Induction remission therapy (CAT), Early intensification therapy (CAT+), Consolidation therapy (HDMTX), Interim maintenance therapy, Reinduction therapy, and prior to the end of Maintenance therapy. Normally or approximately normally distributed measurement data were expressed as xˉ± s and compared by independent samples t-test. Counting data were expressed as n (%) and compared by χ2 test. Results:During the CAT phase, the incidence of malnutrition was significantly lower in the observation group than in the control group [20.8% (11/53) vs. 39.6% (21/53), χ2=4.48, P=0.034]. The incidence of hypoproteinemia was significantly lower in the observation group during HDMTX, Reinduction, Interim maintenance, and prior to the end of Maintenance therapy [47.2% (25/53) vs. 69.8% (37/53), χ2=5.60, P=0.018; 45.3% (24/53) vs. 67.9% (36/53), χ2=5.53, P=0.019; 41.5% (24/53) vs. 64.2% (34/53), χ2=5.45, P=0.020; 28.3% (15/53) vs. 54.7% (29/53), χ2=7.62, P=0.006, respectively]. The incidence of hypoalbuminemia was significantly lower in the observation group during CAT+, HDMTX, Reinduction, Interim maintenance, and prior to the end of Maintenance therapy [5.7% (3/53) vs. 22.6% (12/53), χ2=6.29, P=0.012; 9.4% (5/53) vs. 26.4% (14/53), χ2=5.19, P=0.023; 9.4% (5/53) vs. 28.3% (15/53), χ2=6.16, P=0.013; 7.6% (4/53) vs. 24.5% (13/53), χ2=5.68, P=0.017; 3.8% (2/53) vs. 18.9% (10/53), χ2=6.01, P=0.014, respectively]. For IgG, incidence was significantly lower in the observation group during Interim maintenance, Reinduction, and prior to the end of Maintenance therapy [7.6% (4/53) vs. 22.6% (12/53), χ2=4.71, P=0.030; 20.8% (11/53) vs. 39.6% (21/53), χ2=4.48, P=0.034; 11.3% (6/53) vs. 26.4% (14/53), χ2=3.94, P=0.047, respectively]. For IgM, incidence was significantly lower in the observation group during the CAT and CAT+ phases [45.3% (24/53) vs. 66.0% (35/53), χ2=4.63, P=0.032; 58.5% (31/53) vs. 77.4% (41/53), χ2=4.33, P=0.037, respectively]. For IgA, incidence was significantly lower in the observation group during Reinduction therapy and Interim maintenance [22.6% (12/53) vs. 45.3% (24/53), χ2=6.06, P=0.014; 9.4% (5/53) vs. 24.5% (13/53), χ2=4.28, P=0.038, respectively]. For liver injury, incidence was significantly lower in the observation group during the CAT, CAT+, and prior to the end of Maintenance phases [22.6% (12/53) vs. 43.4% (23/53), χ2=5.16, P=0.023; 26.4% (14/53) vs. 50.9% (27/53), χ2=6.72, P=0.010, 11.3% (6/53) vs. 26.4%(14/53), χ2=3.94、 P=0.047,respectively]. For infection, incidence was significantly lower in the observation group during the CAT+ and HDMTX phases [35.9% (19/53) vs. 56.6% (30/53), χ2=4.59, P=0.032; 24.5% (13/53) vs. 43.4% (23/53), χ2=4.21, P=0.040, respectively]. Conclusions:Short-peptide-based enteral nutrition demonstrates significant advantages in the treatment of pediatric ALL. It provides substantial support for patient treatment and recovery by improving nutritional status, modulating immune function, and reducing chemotherapy-related adverse reactions.

Objective To design an intelligent airborne soldier physical training system based on human body composition analysis to solve the problems in diversity of training mode,targeted training plan and high incidence of military training-related injuries.Methods The intelligent airborne military physical training system was designed with B/S architecture and developed with Python language,which was composed of four functional modules for airborne soldier information acquisition,trainee physical fitness state assessment,physical fitness training program recommendation and airborne soldier physical fitness training program evaluation.The airborne soldier information acquisition module collected and analyzed the trainee physiological parameter information with a human body composition analyzer,clarified the parameter characteristics related to physical training with considerations on military physical training requirements and constructed a trainee physical fitness assessment parameter model;the trainee physical fitness state assessment module established an evaluation model based on machine learning to realize stage-by-stage physical fitness evaluation for airborne soldiers;the physical fitness training program recommendation module was constructed based on the physical training feature similarity algorithm and graph embedding theory to provide decision making assistance for program development of airborne military physical training;the airborne soldier physical fitness training program evaluation module compared the physical fitness and evaluation results before and after training by means of list and chart,and updated the training program based on the evaluation results by calling the physical training program recommendation module.Results The intelligent airborne soldier physical training system contributed to forming an individualized physical fitness training recommendation mechanism after trainee body evaluation,modifying training program based on comparison and feedback for stage-by-stage training evaluation,so as to decrease the incidence of military training-related injuries while increasing the training efficiency.Conclusion The system developed improves airborne soldier physical training in rationality and reliability,and provides references for intelligent military training of the PLA.[Chinese Medical Equipment Journal,2025,46(2):16-23]

Rheumatoid arthritis(RA)is a chronic autoimmune disease of unknown etiology that can cause joint destruction and deformity.As a small molecule cytokine,the chemokine C-X-C motif chemokine ligand 12(CXCL12)regulates the pathogenesis of rheumatoid arthritis by binding to the specific receptor CXC chemokine receptor 4(CXCR4).Therefore,based on the bio-logical characteristics of CXCL12 and CXCR4,this paper intro-duces the pathogenesis of CXCL12/CXCR4 in RA and summari-zes the progress in RA-related research,with the aim of providing clinical value for understanding the pathogenesis of RA and de-veloping novel therapeutic targets.