Osteoarthritis (OA) is one of the most prevalent joint disorders, with aging considered a primary, irreversible factor contributing to its progression. Telomere-related cellular senescence may be a crucial factor influencing the OA process, yet biomarkers for OA based on telomere-related genes have not been clearly identified. The datasets GSE51588, GSE12021, and GSE55457 were retrieved from the Gene Expression Omnibus database. Initially, R software was utilized to identify differentially expressed genes between OA and normal samples. Subsequently, differentially expressed telomere-related genes (DETMRGs) were obtained, and their functional enrichment was analyzed. Feature genes for OA diagnosis were selected from DETMRGs using a combination of least absolute shrinkage and selection operator, support vector machine-recursive feature elimination, and Random Forest algorithms. The diagnostic value of these feature genes was then validated through receiver operating characteristic (ROC) curves and decision curve analysis. Additionally, CIBERSORT and xCell were employed to assess the infiltration of immune cells in OA tissues.Finally, potential drugs targeting candidate genes were predicted. Three telomererelated genes, PGD, SLC7A5, and TKT, have been identified as biomarkers for OA diagnosis and were confirmed through ROC diagnostic tests. The immune infiltration of mast cells, neutrophils, common lymphoid precursors, and eosinophils associated with PGD, SLC7A5, and TKT was reduced. Recognizing telomere-related genes PGD, SLC7A5, and TKT as potential diagnostic biomarkers for OA is significant, as it offers valuable insights into the role of telomere-related genes in OA. This discovery also provides valuable information for the diagnosis and treatment of OA.

Osteoarthritis (OA) is one of the most prevalent joint disorders, with aging considered a primary, irreversible factor contributing to its progression. Telomere-related cellular senescence may be a crucial factor influencing the OA process, yet biomarkers for OA based on telomere-related genes have not been clearly identified. The datasets GSE51588, GSE12021, and GSE55457 were retrieved from the Gene Expression Omnibus database. Initially, R software was utilized to identify differentially expressed genes between OA and normal samples. Subsequently, differentially expressed telomere-related genes (DETMRGs) were obtained, and their functional enrichment was analyzed. Feature genes for OA diagnosis were selected from DETMRGs using a combination of least absolute shrinkage and selection operator, support vector machine-recursive feature elimination, and Random Forest algorithms. The diagnostic value of these feature genes was then validated through receiver operating characteristic (ROC) curves and decision curve analysis. Additionally, CIBERSORT and xCell were employed to assess the infiltration of immune cells in OA tissues.Finally, potential drugs targeting candidate genes were predicted. Three telomererelated genes, PGD, SLC7A5, and TKT, have been identified as biomarkers for OA diagnosis and were confirmed through ROC diagnostic tests. The immune infiltration of mast cells, neutrophils, common lymphoid precursors, and eosinophils associated with PGD, SLC7A5, and TKT was reduced. Recognizing telomere-related genes PGD, SLC7A5, and TKT as potential diagnostic biomarkers for OA is significant, as it offers valuable insights into the role of telomere-related genes in OA. This discovery also provides valuable information for the diagnosis and treatment of OA.

Osteoarthritis (OA) is one of the most prevalent joint disorders, with aging considered a primary, irreversible factor contributing to its progression. Telomere-related cellular senescence may be a crucial factor influencing the OA process, yet biomarkers for OA based on telomere-related genes have not been clearly identified. The datasets GSE51588, GSE12021, and GSE55457 were retrieved from the Gene Expression Omnibus database. Initially, R software was utilized to identify differentially expressed genes between OA and normal samples. Subsequently, differentially expressed telomere-related genes (DETMRGs) were obtained, and their functional enrichment was analyzed. Feature genes for OA diagnosis were selected from DETMRGs using a combination of least absolute shrinkage and selection operator, support vector machine-recursive feature elimination, and Random Forest algorithms. The diagnostic value of these feature genes was then validated through receiver operating characteristic (ROC) curves and decision curve analysis. Additionally, CIBERSORT and xCell were employed to assess the infiltration of immune cells in OA tissues.Finally, potential drugs targeting candidate genes were predicted. Three telomererelated genes, PGD, SLC7A5, and TKT, have been identified as biomarkers for OA diagnosis and were confirmed through ROC diagnostic tests. The immune infiltration of mast cells, neutrophils, common lymphoid precursors, and eosinophils associated with PGD, SLC7A5, and TKT was reduced. Recognizing telomere-related genes PGD, SLC7A5, and TKT as potential diagnostic biomarkers for OA is significant, as it offers valuable insights into the role of telomere-related genes in OA. This discovery also provides valuable information for the diagnosis and treatment of OA.

Osteoarthritis (OA) is one of the most prevalent joint disorders, with aging considered a primary, irreversible factor contributing to its progression. Telomere-related cellular senescence may be a crucial factor influencing the OA process, yet biomarkers for OA based on telomere-related genes have not been clearly identified. The datasets GSE51588, GSE12021, and GSE55457 were retrieved from the Gene Expression Omnibus database. Initially, R software was utilized to identify differentially expressed genes between OA and normal samples. Subsequently, differentially expressed telomere-related genes (DETMRGs) were obtained, and their functional enrichment was analyzed. Feature genes for OA diagnosis were selected from DETMRGs using a combination of least absolute shrinkage and selection operator, support vector machine-recursive feature elimination, and Random Forest algorithms. The diagnostic value of these feature genes was then validated through receiver operating characteristic (ROC) curves and decision curve analysis. Additionally, CIBERSORT and xCell were employed to assess the infiltration of immune cells in OA tissues.Finally, potential drugs targeting candidate genes were predicted. Three telomererelated genes, PGD, SLC7A5, and TKT, have been identified as biomarkers for OA diagnosis and were confirmed through ROC diagnostic tests. The immune infiltration of mast cells, neutrophils, common lymphoid precursors, and eosinophils associated with PGD, SLC7A5, and TKT was reduced. Recognizing telomere-related genes PGD, SLC7A5, and TKT as potential diagnostic biomarkers for OA is significant, as it offers valuable insights into the role of telomere-related genes in OA. This discovery also provides valuable information for the diagnosis and treatment of OA.

Osteoarthritis (OA) is one of the most prevalent joint disorders, with aging considered a primary, irreversible factor contributing to its progression. Telomere-related cellular senescence may be a crucial factor influencing the OA process, yet biomarkers for OA based on telomere-related genes have not been clearly identified. The datasets GSE51588, GSE12021, and GSE55457 were retrieved from the Gene Expression Omnibus database. Initially, R software was utilized to identify differentially expressed genes between OA and normal samples. Subsequently, differentially expressed telomere-related genes (DETMRGs) were obtained, and their functional enrichment was analyzed. Feature genes for OA diagnosis were selected from DETMRGs using a combination of least absolute shrinkage and selection operator, support vector machine-recursive feature elimination, and Random Forest algorithms. The diagnostic value of these feature genes was then validated through receiver operating characteristic (ROC) curves and decision curve analysis. Additionally, CIBERSORT and xCell were employed to assess the infiltration of immune cells in OA tissues.Finally, potential drugs targeting candidate genes were predicted. Three telomererelated genes, PGD, SLC7A5, and TKT, have been identified as biomarkers for OA diagnosis and were confirmed through ROC diagnostic tests. The immune infiltration of mast cells, neutrophils, common lymphoid precursors, and eosinophils associated with PGD, SLC7A5, and TKT was reduced. Recognizing telomere-related genes PGD, SLC7A5, and TKT as potential diagnostic biomarkers for OA is significant, as it offers valuable insights into the role of telomere-related genes in OA. This discovery also provides valuable information for the diagnosis and treatment of OA.

Objective To investigate the protective effect of dapagliflozin on kidney and the expression of AMP-activated protein kinase(AMPK)/mammalian target of rapamycin(mTOR)signaling pathway in diabetic nephropathy(DN)rats.Methods A total of 40 SPF Wistar male rats were randomly divided into normal group,model group,low-dose group and high-dose group,with 10 rats in each group.After the DN model was successfully prepared,the rats in normal group were given normal diet + normal saline by gavage,the rats in model group was given high sugar and high fat feed + normal saline by gavage,the rats in low-dose group was given high sugar and high fat feed+1mg/(kg·d)of dapagliflozin by gavage,the rats in high-dose group was given high sugar and high fat feed+10mg/(kg·d)of dapagliflozin by gavage.Rats in each group were continuously gavaged for 12 weeks.Renal function indexes,renal pathological changes,p-AMPK and p-mTOR protein expression,collagen type Ⅰ(COL Ⅰ),collagen type Ⅳ(COL Ⅳ)and fibronectin(FN)of all groups were compared.Results Blood urea nitrogen(BUN),serum creatinine(SCr),24h urinary protein quantity,p-mTOR protein expression,COL Ⅰ,COL Ⅳ and FN levels of rats in model group,low-dose group and high-dose group were significantly higher than those in normal group,and p-AMPK protein expression was significantly lower than that of normal group(P<0.05).BUN,SCr,24h urinary protein quantity,p-mTOR protein expression,COL Ⅰ,COL Ⅳ and FN levels of rats in low-dose group and high-dose group were significantly lower than those in model group,while p-AMPK protein expression was significantly higher than that in model group(P<0.05).BUN,SCr,24h urinary protein quantity,p-mTOR protein expression,COL Ⅰ,COL Ⅳ and FN levels in high-dose group were significantly lower than those in low-dose group,and p-AMPK protein expression was significantly higher than that in low-dose group(P<0.05).Conclusion Dapagliflozin has a good kidney protection effect on DN rats,and its mechanism may be related to the regulation of AMPK/mTOR signaling pathway.

Endodontic diseases are a kind of chronic infectious oral disease.Common endodontic treatment concepts are based on the removal of inflamed or necrotic pulp tissue and the replacement by gutta-percha.However,it is very essential for endodontic treatment to debride the root canal system and prevent the root canal system from bacterial reinfection after root canal therapy(RCT).Recent research,encompassing bacterial etiology and advanced imaging techniques,contributes to our understanding of the root canal system's anatomy intricacies and the technique sensitivity of RCT.Success in RCT hinges on factors like patients,infection severity,root canal anatomy,and treatment techniques.Therefore,improving disease management is a key issue to combat endodontic diseases and cure periapical lesions.The clinical difficulty assessment system of RCT is established based on patient conditions,tooth conditions,root canal configuration,and root canal needing retreatment,and emphasizes pre-treatment risk assessment for optimal outcomes.The findings suggest that the presence of risk factors may correlate with the challenge of achieving the high standard required for RCT.These insights contribute not only to improve education but also aid practitioners in treatment planning and referral decision-making within the field of endodontics.

Objective To explore the differential expression of the key microfilament cytoskeleton-binding proteins in immature dendritic cells(imDCs)during antigen phagocytosis.Methods Monocytes(MOs)were isolated from peripheral blood of healthy individuals and cultured with recombinant human granulocyte-macrophage colony stimulating factor(rhGM-CSF)and recombinant human interleukin-4(rhIL-4)for 6 days to obtain imDCs.ImDCs were co-cultured with low molecular weight(40 kDa)and high molecular weight(150 kDa)dextrans for 1,3 and 6 hours,respectively.Flow cytometry was used to detect the percentage of imDCs phagocytosing dextran and the expression of immunophenotype molecules.The localization of filamentous actin(F-actin),PFN1,WASP,and α-actinin in cells were observed by immunofluorescence imaging.The differential expression of MCBPs at the mRNA and protein levels were respectively detected by q-PCR and Western blotting.Finally,the MCBPs with the highest component coefficients were identified based on the stepwise regression and principal component analysis method in systems biology algorithms.Results During the process of antigen phagocytosis,imDCs phagocytized low molecular weight antigens at a faster rate,with a phagocytic duration of approximately three hours.Their cell phenotypes and morphology gradually differentiated into mDCs,and F-actin remodeling was occurred significantly.The expression of MCBPs such as PFN1,CDM,WASP,CAPZB,Filamin A,α-actinin were downregulated,while the expression of WAVE1,Arp2/3 complex,and Fascin were upregulated.The mRNA expression of signaling protein Rac1 was upregulated,while the mRNA expressions of CDC42 and RhoA were downregulated.The immunofluorescence results showed that PFN1,WASP,and α-actinin were transposed during the antigen phagocytosis process of imDCs.The results of stepwise regression and principal component analysis showed that PFN1 had the highest component coefficient.Conclusions PFN1 may be a key MCBPs involved in the process of antigen phagocytosis of imDCs,which is of great significance for further understanding the relationship between changes in the cytoskeleton structure of imDCs and their immunological functions.

OBJECTIVE: To retrospectively analyze the clinical efficacy of anterior cruciate ligament (ACL) reconstruction combined with anterolateral complex repair and ACL reconstruction combined with ALL reconstruction in the treatment of anterior cruciate ligament injuries with high-grade pivot shift. METHODS: From January 2018 to June 2022, 49 patients combined ACL and ALL injuries with high-grade pivot shift were retrospectively studied from three hospitals, 29 of them underwent ACL reconstruction with anterolateral complex repair (repair group), including 23 males and 6 females with an average age of (27.5±4.8) years old, ranged from 20 to 37 years old;the injured sides were 13 on the left and 16 on the right, and 11 patients were suffered with meniscus injury. The other 20 patients underwent ACL and ALL reconstruction (reconstruction group) including 17 males and 3 females with the mean age of (27.1±4.5) years old, ranged from 20 to 38 years old;the injured sides were 8 on the left and 12 on the right, and 6 patients were suffered with meniscus injury. Knee stability (pivot shift test, KT-2000), range of motion, knee function (Lysholm scoring scale, Cincinnati sports activity scale (CSAS) scoring scale, and Tegner activity level score between two groups were compared. RESULTS: A total of 49 patients were followed up, the repair group receiving 13 to 20(15.3±1.8) months and the reconstruction group receiving 12 to 21(16.0±2.2) months. There was no statistically significant difference in the preoperative pivot shift test grading distribution between two groups (P>0.05). At the last postoperative follow-up, there were 24 patients with grade 0 and 5 patients with grade 1 in the repair group, and there were 18 patients with grade 0 and 2 patients with grade 1 in the reconstruction group, there is no significant difference in the distribution of axial shift test grading between two groups(P>0.05). The preoperative KT-2000 tibial displacement of two groups were (9.39±0.77) mm (repair group) and (9.14±0.78) mm (reconstruction group) respectively, with no statistically significant difference (P>0.05). At the final postoperative follow-up, there were 24 patients with KT-2000 tibial displacement <3 mm and 5 patients with 3 to 5 mm in the repair group, while 18 patients with <3 mm and 2 patients with 3 to 5 mm in the reconstruction group, KT-2000 tibial displacement distribution of two groups was no significant difference (P>0.05), but the KT-2000 tibial displacement in the reconstruction group (1.30±0.86) mm was significantly smaller than that in the repair group (1.99±1.11) mm (P<0.05). The final postoperative follow-up range of motion of the contralateral side knee between two groups was no significant difference (P>0.05). The range of motion of the suffering knee in the repair group was less than that in the reconstruction group (P<0.05). There was no significant difference in preoperative Lysholm and CSAS scores between two groups (P>0.05). At the final postoperative follow-up, both groups showed significant improvement in Lysholm and CSAS scores, while the Lysholm and CSAS scores of the reconstruction group were better than those of the repair group, and the difference was statistically significant (P<0.05). Significant differences was found in Tegner scores between two groups, which 16 patients in the repair group returned to their pre-injury activity level, and 17 patients in the reconstruction group returned to their pre-injury level (P<0.05). CONCLUSION Compared to anterolateral complex repair, combined ACL and ALL reconstruction in the treatment of ACL injuries with high-grade pivot shift results in better knee joint function and stability. This is advantageous in reducing the risk of ACL reconstruction failure.
Humans ; Male ; Female ; Adult ; Anterior Cruciate Ligament Reconstruction/methods* ; Anterior Cruciate Ligament Injuries/surgery* ; Young Adult ; Retrospective Studies ; Anterior Cruciate Ligament/surgery* ; Range of Motion, Articular

Objective:To summarize the best evidence of intracranial hypertension nursing for adult patients with severe brain injury, and to provide reference for clinical nursing practice.Methods:According to the evidence-based methodology, a systematic search of Chinese and English literature on intracranial hypertension nursing of adult patients with severe brain injury was conducted in domestic and foreign databases such as CNKI, Wanfang, PubMed, Cochrane Library and Cinahl Plus and so on, as well as related guide websites and professional association websites from the establishment of database to August 2022. Two researchers independently evaluated literature quality and screened evidence, and then the project team summarized and concluded the evidence.Results:A total of 6 009 articles were obtained through preliminary search, and 33 articles were included after screening, including 13 guidelines, 1 systematic review, 17 expert consensus, 1 evidence summary, and 1 meta-analysis. In total, 33 pieces of best evidence were obtained from 8 dimensions, including intracranial pressure related threshold, assessment and monitoring, respiratory care, circulation care, analgesic and sedative care, temperature care, nutrition care and cerebrospinal fluid care.Conclusions:This study summarizes the evidence-based basis of intracranial hypertension nursing in adult patients with severe brain injury, which provides a basis for the standardized construction of clinical nursing strategies and empirical research.