BACKGROUND:Early exercise treatment is the main prevention way for traumatic joint contracture and is also a research focus.Swimming may be a potential intervention for joint contracture due to the special physical properties of water. OBJECTIVE:To explore the effects of swimming on the development of joint contracture in a rat model and study its mechanisms. METHODS:Twenty-four Sprague-Dawley rats were randomly divided into a blank control group(n=8)and a joint contracture group(n=16).After the surgical operation of knee joint contracture rat models,the joint contracture group was randomly subdivided into a surgical control group(n=8)and a swimming treatment group(n=8).Swimming started in the swimming treatment group in the second week after surgery and lasted for a total of 5 weeks.At the 6th week after surgery,the body mass,knee joint range of motion,and quadriceps diameter were tested,and the diameter/body mass index was calculated.Hematoxylin-eosin staining was performed to detect the pathological changes in the knee joint capsule and quadriceps muscle,and Masson staining was used to observe fibrotic changes in the knee joint capsule.Furthermore,the protein expression of transforming growth factor β1 and type I collagen in the knee joint capsule was quantified by immunohistochemical assay and western blot was performed to detect the protein expression of MuRF1 in the quadriceps femoris. RESULTS AND CONCLUSION:Compared with the blank control group,the knee range of motion decreased in the surgical control and swimming treatment groups(P<0.01),and knee extension deficit and arthrogenic extension deficit were significantly increased(P<0.01),the diameter of the quadriceps muscle was decreased(P<0.01),the joint capsule showed significant fibrosis,the quadriceps muscle was atrophied,and the diameter/body mass index was decreased(P<0.01).Compared with the surgical control group,the swimming treatment group showed a significant increase in knee joint range of motion and quadriceps diameter(P<0.01),and significant improvement in joint capsule fibrosis and quadriceps atrophy.Compared with the blank control group,collagen fiber content and expression of transforming growth factor β1 and type I collagen were increased in the joint capsule of rats in both the surgical control group and the swimming treatment group(P<0.01).Compared with the surgical control group,collagen fiber content and expression of transforming growth factor β1 and type I collagen protein in the joint capsule were decreased in the swimming treatment group.Compared with the blank control group,the expression of MuRF1 protein in the quadriceps muscle of rats in the surgical control group and the swimming treatment group was increased(P<0.05).Compared with the surgical control group,the expression of MuRF1 protein in the quadriceps muscle of rats in the swimming treatment group was decreased(P<0.05).To conclude,early swimming intervention reduces transforming growth factor β1 and type I collagen expression in the joint capsule of traumatic joint contracture rats,decreases MuRF1 expression in the quadriceps muscle,and increases joint range of motion and quadriceps diameter,thereby inhibiting the development of joint contracture.

Background/Aims: Transmembrane 4 L six family member 1 (TM4SF1) is highly expressed and contributes to the progression of various malignancies. However, how it modulates hepatocellular carcinoma (HCC) progression and senescence remains to be elucidated. Methods: TM4SF1 expression in HCC samples was evaluated using immunohistochemistry and flow cytometry. Cellular senescence was assessed through SA-β-gal activity assays and Western blot analysis. TM4SF1-related protein interactions were investigated using immunoprecipitation-mass spectrometry, co-immunoprecipitation, bimolecular fluorescence complementation, and immunofluorescence. Tumor-infiltrating immune cells were analyzed by flow cytometry. The HCC mouse model was established via hydrodynamic tail vein injection. Results: TM4SF1 was highly expressed in human HCC samples and murine models. Knockdown of TM4SF1 suppressed HCC proliferation both in vitro and in vivo, inducing non-secretory senescence through upregulation of p16 and p21. TM4SF1 enhanced the interaction between AKT1 and PDPK1, thereby promoting AKT phosphorylation, which subsequently downregulated p16 and p21. Meanwhile, TM4SF1-mediated AKT phosphorylation enhanced PD-L1 expression while reducing major histocompatibility complex class I level on tumor cells, leading to impaired cytotoxic function of CD8+ T cells and an increased proportion of exhausted CD8+ T cells. In clinical HCC samples, elevated TM4SF1 expression was associated with resistance to anti-PD-1 immunotherapy. Targeting TM4SF1 via adeno-associated virus induced tumor senescence, reduced tumor burden and synergistically enhanced the efficacy of anti-PD-1 therapy. Conclusions Our results revealed that TM4SF1 regulated tumor cell senescence and immune evasion through the AKT pathway, highlighting its potential as a therapeutic target in HCC, particularly in combination with first-line immunotherapy.

Background/Aims: Transmembrane 4 L six family member 1 (TM4SF1) is highly expressed and contributes to the progression of various malignancies. However, how it modulates hepatocellular carcinoma (HCC) progression and senescence remains to be elucidated. Methods: TM4SF1 expression in HCC samples was evaluated using immunohistochemistry and flow cytometry. Cellular senescence was assessed through SA-β-gal activity assays and Western blot analysis. TM4SF1-related protein interactions were investigated using immunoprecipitation-mass spectrometry, co-immunoprecipitation, bimolecular fluorescence complementation, and immunofluorescence. Tumor-infiltrating immune cells were analyzed by flow cytometry. The HCC mouse model was established via hydrodynamic tail vein injection. Results: TM4SF1 was highly expressed in human HCC samples and murine models. Knockdown of TM4SF1 suppressed HCC proliferation both in vitro and in vivo, inducing non-secretory senescence through upregulation of p16 and p21. TM4SF1 enhanced the interaction between AKT1 and PDPK1, thereby promoting AKT phosphorylation, which subsequently downregulated p16 and p21. Meanwhile, TM4SF1-mediated AKT phosphorylation enhanced PD-L1 expression while reducing major histocompatibility complex class I level on tumor cells, leading to impaired cytotoxic function of CD8+ T cells and an increased proportion of exhausted CD8+ T cells. In clinical HCC samples, elevated TM4SF1 expression was associated with resistance to anti-PD-1 immunotherapy. Targeting TM4SF1 via adeno-associated virus induced tumor senescence, reduced tumor burden and synergistically enhanced the efficacy of anti-PD-1 therapy. Conclusions Our results revealed that TM4SF1 regulated tumor cell senescence and immune evasion through the AKT pathway, highlighting its potential as a therapeutic target in HCC, particularly in combination with first-line immunotherapy.

Background/Aims: Transmembrane 4 L six family member 1 (TM4SF1) is highly expressed and contributes to the progression of various malignancies. However, how it modulates hepatocellular carcinoma (HCC) progression and senescence remains to be elucidated. Methods: TM4SF1 expression in HCC samples was evaluated using immunohistochemistry and flow cytometry. Cellular senescence was assessed through SA-β-gal activity assays and Western blot analysis. TM4SF1-related protein interactions were investigated using immunoprecipitation-mass spectrometry, co-immunoprecipitation, bimolecular fluorescence complementation, and immunofluorescence. Tumor-infiltrating immune cells were analyzed by flow cytometry. The HCC mouse model was established via hydrodynamic tail vein injection. Results: TM4SF1 was highly expressed in human HCC samples and murine models. Knockdown of TM4SF1 suppressed HCC proliferation both in vitro and in vivo, inducing non-secretory senescence through upregulation of p16 and p21. TM4SF1 enhanced the interaction between AKT1 and PDPK1, thereby promoting AKT phosphorylation, which subsequently downregulated p16 and p21. Meanwhile, TM4SF1-mediated AKT phosphorylation enhanced PD-L1 expression while reducing major histocompatibility complex class I level on tumor cells, leading to impaired cytotoxic function of CD8+ T cells and an increased proportion of exhausted CD8+ T cells. In clinical HCC samples, elevated TM4SF1 expression was associated with resistance to anti-PD-1 immunotherapy. Targeting TM4SF1 via adeno-associated virus induced tumor senescence, reduced tumor burden and synergistically enhanced the efficacy of anti-PD-1 therapy. Conclusions Our results revealed that TM4SF1 regulated tumor cell senescence and immune evasion through the AKT pathway, highlighting its potential as a therapeutic target in HCC, particularly in combination with first-line immunotherapy.

Biomanufacturing is an advanced manufacturing method that integrates biology, chemistry, and engineering. It utilizes renewable biomass and biological organisms as production media to scale up the production of target products through fermentation. Compared with petrochemical routes, biomanufacturing offers significant advantages in reducing CO₂ emissions, lowering energy consumption, and cutting costs. With the development of systems biology and synthetic biology and the accumulation of bioinformatics data, the integration of information technologies such as artificial intelligence, large models, and high-performance computing with biotechnology is propelling biomanufacturing into a data-driven era. This paper reviews the latest research progress on databases, knowledge bases, and large language models for biomanufacturing. It explores the development directions, challenges, and emerging technical methods in this field, aiming to provide guidance and inspiration for scientific research in related areas.
Biotechnology/methods* ; Knowledge Bases ; Synthetic Biology ; Databases, Factual ; Artificial Intelligence ; Systems Biology ; Computational Biology ; Fermentation

With the rapid advancement of synthetic biology, CRISPR-Cas systems have emerged as a powerful tool for gene editing, demonstrating significant potential in various fields, including medicine, agriculture, and industrial biotechnology. This review comprehensively summarizes the significant progress in applying artificial intelligence (AI) technologies to the design, mining, and modification of CRISPR-Cas systems. AI technologies, especially machine learning, have revolutionized sgRNA design by analyzing high-throughput sequencing data, thereby improving the editing efficiency and predicting off-target effects with high accuracy. Furthermore, this paper explores the role of AI in sgRNA design and evaluation, highlighting its contributions to the annotation and mining of CRISPR arrays and Cas proteins, as well as its potential for modifying key proteins involved in gene editing. These advancements have not only improved the efficiency and precision of gene editing but also expanded the horizons of genome engineering, paving the way for intelligent and precise genome editing.
CRISPR-Cas Systems/genetics* ; Artificial Intelligence ; Gene Editing/methods* ; RNA, Guide, CRISPR-Cas Systems/genetics* ; Machine Learning ; Humans ; Genetic Engineering/methods* ; Synthetic Biology

Natural components serve the survival instincts of cells that are obtained through long-term evolution, while they often fail to meet the demands of engineered cells for efficiently performing biological functions in special industrial environments. Enzymes, as biological catalysts, play a key role in biosynthetic pathways, significantly enhancing the rate and selectivity of biochemical reactions. However, the catalytic efficiency, stability, substrate specificity, and tolerance of natural enzymes often fall short of industrial production requirements. Therefore, exploring and modifying enzymes to suit specific biomanufacturing processes has become crucial. In recent years, artificial intelligence (AI) has played an increasingly important role in the discovery, evaluation, engineering, and de novo design of proteins. AI can accelerate the discovery and optimization of proteins by analyzing large amounts of bioinformatics data and predicting protein functions and characteristics by machine learning and deep learning algorithms. Moreover, AI can assist researchers in designing new protein structures by simulating and predicting their performance under different conditions, providing guidance for protein design. This paper reviews the latest research advances in protein discovery, evaluation, engineering, and de novo design for biomanufacturing and explores the hot topics, challenges, and emerging technical methods in this field, aiming to provide guidance and inspiration for researchers in related fields.
Protein Engineering/methods* ; Artificial Intelligence ; Proteins/genetics* ; Computational Biology ; Machine Learning ; Data Mining ; Algorithms ; Deep Learning

Objective:To explore the effectiveness of patient participation and Internet plus in fall prevention management strategies of elderly inpatients and analyze the causes of falls, so as to provide a basis for continuous improvement in fall prevention to investigate their continuous improvement.Methods:A pre- and post-control study was conducted. Totally 8 480 elderly inpatients hospitalized in the Department of Internal Medicine from 1 June 2020 to 31 May 2021 in Chenzhou NO. 1 People′s Hospital were selected by convenient sampling as the control group, and 8 662 elderly inpatients hospitalized in the Department of Internal Medicine from 1 June 2021 to 31 May 2022 were in the experimental group. The routine fall prevention measures were used in the control group, and on this basis, the experimental group formulated and implemented fall prevention management strategies involving patients based on the patient participation framework "informing, participating, empowering, cooperating, and electronic information support" and introduced Internet plus. Then the differences between the two groups in terms of the incidence of falls and the satisfaction rate of nursing care were compared.Results:The experimental group included 8 662 cases (5 110 males and 3 552 females) with (73.96 ± 8.78) years old, while the control group included 8 480 cases (4 918 males and 3 562 females) with (74.11 ± 8.59) years old. The incidence of falls in experimental group (0.092%, 8/8 662) was lower than that in control group (0.224%, 19/8 480), and the difference was statistically significant ( χ 2=4.71, P<0.05); the nursing care satisfaction rate of experimental group (98.880%, 8 565/8 662) was higher than that of control group (96.450%, 8 179/8 480), and the difference also was statistically significant ( χ 2=106.50, P<0.01); the analysis of the fall causes of the patients revealed that the toilet squatting commode was an important hidden risk of falls in elderly patients. Conclusions:Fall prevention management strategies based on patient participation can reduce the incidence of falls in elderly patients and improve the satisfaction rate of nursing care. Patient participation introduced "Internet plus" can prevent patient falls. The root causes of patient falls will continue to change, and care managers should continually track real-time changes in the root causes of falls to identify problems, develop and adjust prevention strategies accordingly, and pay attention to the importance of infrastructure in the safety of older patients.

Objective To employ next-generation sequencing(NGS)to analyze differentially expressed mRNAs in the gingival tissue of hypertensive rats with or without periodontitis to provide a theoretical basis for the prevention and treatment of hypertension with periodontitis.Methods After obtaining approval from the Animal Experiment Ethics Committee,a hypertensive rat model was established by administering high-salt feed containing 8％(w/w)NaCl,and a periodontitis rat model was established by ligating the first molar of the mandibular region using 3-0 sterile silk thread.Rat models of the normal control(N),hypertension(H),and hypertension with periodontitis(PH)groups were estab-lished.The blood pressure,heart rate,alveolar bone resorption,and number of osteoclasts in the alveolar bone were measured,before harvesting the gingival tissues from the three groups for NGS to analyze the expression of significantly different genes.Gene ontology(GO)enrichment analysis was performed for all significantly differentially expressed genes between the H and PH groups.Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analysis was per-formed.Key genes were screened by protein-protein interaction(PPI)networks,and the key gene expression in each group was verified using immunohistochemistry(IHC).The expression of key genes in the systemic circulation of each group was analyzed using enzyme-linked immunosorbent assay(ELISA).Results At the end of the experiment(11th week),the blood pressure was higher in both the H and PH groups than that in the N group(P<0.001),but there was no statistically significant difference in blood pressure between the H and PH groups.There was no statistical difference in heart rate among the 3 groups.Micro-CT showed that the distance from the cemento-enamel junction to the alveolar bone crest(CEJ-ABC)of the mandibular first molar in the PH group was significantly higher than that in the N and H groups(P<0.016 7).The number of osteoclasts in the alveolar bone of the PH group was significantly higher than that of the N and H groups(P<0.0167).No common differentially expressed genes were found among the 3 groups.There were 235 significantly differentially expressed genes in the gingival tissue between the H and PH groups,and 137 upreg-ulated genes(e.g.,P-selectin,keratin 16,and S100 calcium binding protein A)and 98 downregulated genes(e.g.,FK506 binding protein 5,mediator complex subunit 22,zinc finger and BTB domain containing 16)in the PH group compared to the H group.GO analysis showed that the major enriched biological processes(BP)were leukocyte migra-tion,the major cellular component(CC)was complex of collagen trimers,and the significant molecular function(MF)was extracellular matrix structural constituent in the H and PH groups.KEGG pathway analysis showed that signaling pathways such as cytokine-cytokine receptor interaction,IL-17 signaling pathway,and TNF-α signaling pathway were significantly enriched in the H and PH groups.PPI analysis identified four key genes affecting periodontitis in hyperten-sive conditions,including interleukin-1β(IL-1β),matrix metalloproteinase-9(MMP-9),collagen type Ⅰ alpha1(COL1α 1),and chemokine ligand 1(CXCL1).Compared to the N and H groups,the expressions of IL-1β and TNF-α were all upregulated in the gingival tissue and systemic serum in the PH group(P<0.016 7).Conclusion The differentially expressed mRNAs in hypertension with or without periodontitis included IL-1β and MMP-9,while the differentially ex-pressed signaling pathways were IL-17 and TNF-α.These results provide a theoretical reference for further investigation of the molecular regulatory mechanism of hypertension with periodontitis in the future.

The Wnt signaling pathway plays an important role in maintaining liver homeostasis and liver regeneration.In healthy livers,the Wnt signaling pathway is mostly inactive,but it is continuously overactivated during cell renewal or regeneration processes,as well as in certain pathological conditions,diseases,precancerous states,and cancers.Persistent liver cell injury often leads to chronic liver diseases such as liver fibrosis,liver cirrhosis,and liver cancer.This article summarizes the basic structural features of the Wnt signaling pathway and analyzes its important role in the pathological progression of various liver diseases,so as to provide new ideas for the prevention and treatment of liver diseases in clinical practice.