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 detect the changes of mitophagy level in rats with endplate cartilage degeneration induced by spinal instability,and explore the role of PINK1/Parkin-mediated mitophagy in endplate cartilage and intervertebral disc degeneration.Methods The rat spinal instability model was established by surgically removing the superspinal and interspinal ligaments of L2 to L5,and cleaning the bilateral articular processes of the L2 to L5.Eighteen SD rats were divided into the normal group,the degenerative group,and the carbonyl cyanide 3-chlorophenylhydrazone(CCCP)group,with 6 rats in each group.The rats in the normal group had no special treatment,the rats in the degenerative group constructed a rat spinal instability model,and the rats in the CCCP group were injected with 5 μL of CCCP(10 μmol/L)in the intervertebral disc after the construction of spinal instability model.The changes of histomorphology in the endplate cartilage and intervertebral disc were abserved by HE staining,and the change of extracellular matrix of endplate cartilage was observed by safranin O-fast green staining.RT-PCR detected the mRNA expression of type Ⅱ collagen(COL-2A),aggrecan(ACAN),PINK1 and Parkin in each group.The changes of the protein expression levels of COL-2A,ACAN,PINK1,Parkin and mitochondrial membrane proteins of Tomm20 and Timm23 were detected by Western blot.Results Compared with the normal group,the intervertebral disc nucleus pulposus of rats in the degenerative group was significantly destroyed and the secretion of extracellular matrix of endplate chondrocytes decreased;while the structure of intervertebral discs for rats in the CCCP group was more intact,and the secretion of extracellular matrix of endplate chondrocytes was significantly increased compared with that in the degenerative group.Compared with the normal group,the expression of COL-2A and ACAN in endplate cartilage tissues of rats in the degenerative group were significantly down-regulated(P<0.05),the expression of mitochon-drial autophagy-related genes of PINK1 and Parkin were significantly decreased(P<0.05),and the expression of mitochondrial membrane proteins of Tomm20 and Timm23 were increased(P<0.05).Compared with the degenerative group,the expression of COL-2A,ACAN,PINKI and Parkin in the endplate cartilage tissue of rats in the CCCP group were significantly up-regulated(P<0.05),and the protein levels of Tomm20 and Timm23 were significantly down-regulated(P<0.05).Conclusion Rat spinal instability leads to a decrease level of mitophagy mediated by PINK1/Parkin signaling pathway in endplate cartilage,thereby inducing endplate cartilage and intervertebral disc degeneration,and the activation of mitophagy can significantly reduce endplate cartilage and intervertebral disc degeneration.

Objective:To investigate and assess hemolytic transfusion reaction in patient with complex and combined anti-Fya and anti-Jkb which so as to provide a safety blood transfusion strategy.Methods:ABO/Rh blood grouping,antibody screening and identification,and Coombs'tests were performed by the routine serological methods include manual tube and automatic blood group analyzer with matching micro-column gel cards from Diagnostic Grifols and Jiangsu LIBO.The hospital information system and laboratory information system were used to collect dada on patients' blood routine tests,liver and kidney function,coagulation,cardiac function,and other clinical indicators before and after blood transfusion were analyzed and compared in conjunction with the patients'clinical manifestations.Results:The patient's blood group was A/CcDEe.Before two transfusion,the anti-body screening were positive which identification were anti-Fya and anti-Fya combined with anti-Jkb respectively,while the Coomb's test were positive with anti-C3 and anti-IgG combined with anti-C3 respectively.No agglutination and hemolysis was observed in saline medium cross-matching test before two transfusion of Fya-red blood cell.But before re-transfusion agglutinated reaction was observed in cross-matching test by DG Gel Coombs,which strength was 2+on whether major or minor side.The patient developed soy sauce urine/hemoglobinuria and fever after transfused Fya-red blood cell again.Primary laboratory indicators were observed to be elevated,include C-reactive protein from 3.06 mg/L to 29.97 mg/L,total bilirubin from 21.4 μmol/L to 276.3 μmol/L,direct bilirubin from 8.4 μmol/L to 135.6 μmol/L,lactate dehydrogenase from 166 U/L to 1453 U/L.Urinary free hemoglobin test was 4+.The main laboratory indicators reflecting the heart,liver,kidney and circulatory coagulation function also have vary increased and gradually returned to normal after a week. Conclusion:Jkb-incompatible transfusion of the Kidd blood group system can lead to acute hemolytic transfusion reaction,but in emergency implementing incompatible transfusion due to IgG antibodies outside of the primary blood group (such as ABO/RhD)can ensure the implementation of emergency operation.

Objective To explore the mechanism of kaempferol in improving airway inflammation in chronic obstructive pulmonary disease(COPD)rats.Methods Twenty-for male SD rats were randomly divided into control group,model group(exposed to second-hand smoke for 36 weeks)and experimental group(intragastric administration of 20 mg·kg-1 kaempferol from the 7th day of exposure to secondhand smoke).Pulmonary function was measured by small animal pulmonary function test system,lung index was calculated by body weight and lung weight,inflammatory infiltration and fibrosis changes in lung tissue were observed histologically,the expression of interleukin-1(IL-1),interleukin-6(IL-6)and tumor necrosis factor-α(TNF-α)in bronchoalveolar lavage fluid was detected by enzyme linked immunosorbent assay(ELISA);the expression of superoxide dismutase(SOD)and malondialdehyde(MDA)was detected by the detection kit;and the protein expression of Toll-like receptor 4(TLR4)and nuclear factor-κB(NF-κB)p65 in lung tissue was detected by Western blotting.Results The peak expiratory flow in the control group,model group and experimental group were(19.48±1.61),(15.86±1.00)and(18.07±0.83)mL·s-1;valsalva maneuver were(231.22±10.26),(244.94±9.32)and(225.71±3.80)mL·min-1;lung compliance were(0.53±0.08),(0.29±0.02)and(0.48±0.03)mL·cm-1 H2O;total airway resistance were(0.19±0.12),(0.21±0.01)and(0.20±0.01)cmH2O·mL-1;running economy were(0.19±0.01),(0.26±0.03)and(0.21±0.01)mL·s-1;lung weight were(2.76±0.10),(2.94±0.18)and(2.29±0.26)g;body weight were(375.13±23.55),(243.00±26.75)and(325.38±23.80)g;lung index were 0.74±0.02,1.22±0.09 and 0.70±0.05;the expression levels of cytokines IL-1 in bronchoalveolar lavage fluid(BALF)were(32.39±3.37),(161.88±9.02)and(66.44±6.81)pg·mL-1;IL-6 were(75.07±8.87),(129.58±13.29)and(99.94±9.92)pg·mL-1;TNF-α were(441.76±9.92),(814.47±122.02)and(656.70±70.06)pg·mL-1;MDA expression were(135.73±6.20),(179.05±15.18)and(149.40±13.83)nmol·mL-1;SOD expression were(4 258.55±384.12),(1 232.24±237.08)and(2 134.33±197.99)U·mL-1;TLR4 protein expression level in lung tissue were 0.98±0.02,1.55±0.04,1.34±0.02;NF-κB p65 protein expression level were 0.98±0.02,1.61±0.03,1.09±0.03;the above indicators,control group compared with model group,experimental compared with and model group,the differences were all statistically significant(all P＜0.05).Conclusion Kaempferol ameliorates lung injury induced by airway inflammation in COPD rats by inhibiting TLR4/NF-κB signaling pathway.

The National Medical Products Administration have become an official applicant of the Pharmaceutical Inspection Co-operation Scheme(PIC/S)in 2023,and the good manufacturing practice appendix and inspection memorandum are key documents of PIC/S.Based on the analysis of the history,framework and main contents of the appendix and inspection memorandum of PIC/S investigational medicinal products,this paper discusses the key contents of the appendix and inspection memorandum of PIC/S clinical trial drugs,and provides reference for the inspection work.

Objective: Progressive supranuclear palsy (PSP) involves a variety of visual symptoms that are thought to be partially caused by structural abnormalities of the retina. However, the relationship between retinal structural changes, disease severity, and intracranial alterations remains unknown. We investigated distinct retinal thinning patterns and their relationship with clinical severity and intracranial alterations in a PSP cohort. Methods: We enrolled 19 patients with PSP (38 eyes) and 20 age-matched healthy controls (40 eyes). All of the participants underwent peripapillary and macular optical coherence tomography. Brain 11C-2β-carbomethoxy-3β-(4-fluorophenyl) tropane (11C-CFT) and 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography imaging were also performed in patients with PSP. We investigated the association between retinal thickness changes and clinical features, striatal dopamine transporter availability, and cerebral glucose metabolism. Results: The peripapillary retinal nerve fiber layer (pRNFL) and macula were significantly thinner in patients with PSP than in controls. The thickness of the superior sector of the pRNFL demonstrated a significant negative relationship with the Movement Disorder Society-Unified Parkinson’s Disease Rating Scale part III and Hoehn and Yahr staging scale scores. A significant negative correlation was found between outer inferior macular thickness and disease duration. Outer temporal macular thickness was positively correlated with Montreal Cognitive Assessment scores. In PSP, lower outer temporal macular thickness was also positively correlated with decreased dopamine transporter binding in the caudate. Conclusion The pRNFL and macular thinning may be candidate markers for monitoring disease severity. Additionally, macular thinning may be an in vivo indicator of nigrostriatal dopaminergic cell degeneration in PSP patients.