BACKGROUND:Glucose metabolism plays a crucial role in maintaining the normal physiological function of the body.Glucose metabolism disorder can lead to a range of health problems.At present,the molecular mechanism of glucose metabolism and potential gene targets in osteoarthritis need to be further studied.OBJECTIVE:To analyze the genes related to glucose metabolism in osteoarthritis by bioinformatics methods,and to verify them by cell experiments in vitro,so as to provide new ideas for prevention and treatment of osteoarthritis from the perspective of glucose metabolism.METHODS:Differentially expressed genes and glucose metabolism related genes were screened out from GEO database and GeneCards database.The genes related to both osteoarthritis and glucose metabolism were obtained.Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analysis were used to screen the functions and pathways of these genes.To further investigate the interactions between these genes,a protein-protein interaction network was constructed and computational methods using Cytoscape software were utilized to identify key genes(Hub genes)for osteoarthritis glucose metabolism.In addition,CIBERSORT algorithm was used to analyze immune cell infiltration in GSE98918 data set.Finally,the expression of Hub gene was verified by cell experiment in vitro.RESULTS AND CONCLUSION:A total of 134 osteoarthritis glucose metabolism-related genes were obtained.GO enrichment analysis showed that GO was mainly involved in the reaction of toxic substances,the positive regulation of inflammatory reaction,the reaction of lipopolysaccharide and so on.KEGG enrichment analysis showed that it was closely related to PI3K-Akt signaling pathway,interleukin-17 signaling pathway,and AGE-RAGE signaling pathway in diabetic complications.Macrophages,monocytes,resting natural killer cells,regulatory T cells,and CD8+T cells were the main infiltrating cells obtained by immune infiltration analysis.In vitro cell experiments showed that the expression of Hub genes SERPINF1,TAC1,GLUL,APOE,and TMEM176A in the experimental group was significantly different from that in the control group.The mRNA expression of HLA-DRA was not statistically significant.The results show that SERPINF1,TAC1,Glul,APOE,and TMEM176A may be the key genes of glucose metabolism in osteoarthritis,and may be potential new targets for the prevention and treatment of osteoarthritis.

BACKGROUND:Adolescent lumbar disc herniation is the main cause of low back pain in adolescents. At present,most of them are treated by conservativetreatment. When long-term non-surgical treatment attempts,surgery may be necessary to prevent further injury when the patient's symptoms are notsufficiently relieved or when the patient has symptoms of single nerve paralysis or compression of the cauda equina,it is very important to choose a suitable interbody fusion device for the surgical treatment of the patients.OBJECTIVE:To explore the effects of minimally invasive interbody fusion with different heights on lumbar biomechanics in patients with adolescent lumbar disc herniation.METHODS:CT scans of a 17-year-old male patient with adolescent lumbar disc herniation (L4-5 segment herniation) were collected. After the three-dimensional reconstruction of MIMICS,the interbody fusion device equal to and 3 mm higher than the intervertebral space was selected for analysis,so two expandablemixed material interbody fusion devices were designed and reconstructed. Fusion device L:11 mm high front,9 mm high posterior,9 mm wide,28 mmlong,and fusion device H:14 mm high front,11 mm high posterior,11 mm wide,28 mm long and the lumbar fusion device was modeled. The fusion deviceand lumbar spine model were optimized,inversely modeled,and then imported into ABAQUS,and finally the 3D model of lumbar fusion was obtained.The physiological activities of the human body were simulated,such as lumbar extension,forward bending,right bending,and left bending,to obtain thecorresponding stress contours. The biomechanical characteristics of the L4-5 vertebra under seven different working conditions were observed.RESULTS AND CONCLUSION:(1) The maximum stress of the two kinds of fuses was in the condition of forward bending and backward extension,the stress value of H fuses was (18.27±3.80) Mpa and (15.02±3.24) Mpa;the stress value of L fuses was (9.16±0.05) Mpa and (9.17±1.83) Mpa. The stress values of the end plate of the H-fusion in the extension station were (19.11±4.03) Mpa and (16.32±3.72) Mpa respectively. The stress values of the L-fusion end plate were (9.13±0.01) Mpa and (4.92±1.01) Mpa respectively. (2) The stress of H-type fusing end plate was higher than that of L-type fusing end plate except for L-5 end plate at neutral position (P<0.05). (3) Choosing an interbody fusion device with a height of more than 3 mm in the same intervertebral space has a more stable biomechanics.

Background and Aims:Obesity is often accompanied by symptoms of disordered eating.Although bariatric metabolic surgery can alleviate these symptoms,there are significant individual differences in postoperative outcomes,and effective predictive indicators are lacking.Liver and kidney function,along with lipid profiles,are closely related to metabolic status and may serve as useful markers for preoperative risk stratification and prognosis prediction.This study was conducted to explore the relationship between preoperative metabolic indicators and symptoms of disordered eating,thereby identifying postoperative recovery patterns among obese patients to support individualized management strategies.Methods:A total of 41 obese patients who underwent sleeve gastrectomy at Shanghai Sixth People's Hospital between September 2020 and June 2023 were enrolled,along with 36 healthy volunteers recruited during the same period.Participants completed the Eating Disorder Inventory-2(EDI-2)questionnaire,and serum samples were collected to assess liver function,kidney function,and lipid levels prior to surgery.The Mantel test was used to analyze correlations between metabolic indicators and EDI-2 scores.Latent profile analysis(LPA)was conducted using the indicators significantly correlated with EDI-2 scores to identify subgroups within the obese cohort.Linear mixed models were then applied to examine the trajectories of postoperative symptom changes across subgroups.Results:Levels of cystatin C,cholinesterase,gamma-glutamyl transferase,triglycerides,and apolipoprotein E were significantly higher in the obese group compared to the healthy group(all P＜0.05),and EDI-2 total score was also significantly elevated(P＜0.05);the prealbumin level in the healthy group was significantly higher than that in the obese group(P＜0.05).These six indicators were positively correlated with EDI-2 score(all r＞0.20,P＜0.05).Based on these markers,the LPA classified the obese group into two subgroups,with subgroup 2 exhibiting higher levels of most metabolic indicators than subgroup 1.During the 18-month postoperative follow-up,both subgroups showed reductions in EDI-2 score,but symptom improvement in subgroup 2 occurred later(month 6)compared to subgroup 1(month 4).Conclusion:Preoperative levels of cholinesterase,gamma-glutamyl transferase,prealbumin,triglycerides,and apolipoprotein E may serve as predictive indicators for improvement in disordered eating symptoms.Recovery patterns after bariatric surgery vary among obese patients with different metabolic profiles,highlighting the need for tailored intervention strategies.

BACKGROUND:Adolescent lumbar disc herniation is the main cause of low back pain in adolescents. At present,most of them are treated by conservativetreatment. When long-term non-surgical treatment attempts,surgery may be necessary to prevent further injury when the patient's symptoms are notsufficiently relieved or when the patient has symptoms of single nerve paralysis or compression of the cauda equina,it is very important to choose a suitable interbody fusion device for the surgical treatment of the patients.OBJECTIVE:To explore the effects of minimally invasive interbody fusion with different heights on lumbar biomechanics in patients with adolescent lumbar disc herniation.METHODS:CT scans of a 17-year-old male patient with adolescent lumbar disc herniation (L4-5 segment herniation) were collected. After the three-dimensional reconstruction of MIMICS,the interbody fusion device equal to and 3 mm higher than the intervertebral space was selected for analysis,so two expandablemixed material interbody fusion devices were designed and reconstructed. Fusion device L:11 mm high front,9 mm high posterior,9 mm wide,28 mmlong,and fusion device H:14 mm high front,11 mm high posterior,11 mm wide,28 mm long and the lumbar fusion device was modeled. The fusion deviceand lumbar spine model were optimized,inversely modeled,and then imported into ABAQUS,and finally the 3D model of lumbar fusion was obtained.The physiological activities of the human body were simulated,such as lumbar extension,forward bending,right bending,and left bending,to obtain thecorresponding stress contours. The biomechanical characteristics of the L4-5 vertebra under seven different working conditions were observed.RESULTS AND CONCLUSION:(1) The maximum stress of the two kinds of fuses was in the condition of forward bending and backward extension,the stress value of H fuses was (18.27±3.80) Mpa and (15.02±3.24) Mpa;the stress value of L fuses was (9.16±0.05) Mpa and (9.17±1.83) Mpa. The stress values of the end plate of the H-fusion in the extension station were (19.11±4.03) Mpa and (16.32±3.72) Mpa respectively. The stress values of the L-fusion end plate were (9.13±0.01) Mpa and (4.92±1.01) Mpa respectively. (2) The stress of H-type fusing end plate was higher than that of L-type fusing end plate except for L-5 end plate at neutral position (P<0.05). (3) Choosing an interbody fusion device with a height of more than 3 mm in the same intervertebral space has a more stable biomechanics.

Background and Aims:Obesity is often accompanied by symptoms of disordered eating.Although bariatric metabolic surgery can alleviate these symptoms,there are significant individual differences in postoperative outcomes,and effective predictive indicators are lacking.Liver and kidney function,along with lipid profiles,are closely related to metabolic status and may serve as useful markers for preoperative risk stratification and prognosis prediction.This study was conducted to explore the relationship between preoperative metabolic indicators and symptoms of disordered eating,thereby identifying postoperative recovery patterns among obese patients to support individualized management strategies.Methods:A total of 41 obese patients who underwent sleeve gastrectomy at Shanghai Sixth People's Hospital between September 2020 and June 2023 were enrolled,along with 36 healthy volunteers recruited during the same period.Participants completed the Eating Disorder Inventory-2(EDI-2)questionnaire,and serum samples were collected to assess liver function,kidney function,and lipid levels prior to surgery.The Mantel test was used to analyze correlations between metabolic indicators and EDI-2 scores.Latent profile analysis(LPA)was conducted using the indicators significantly correlated with EDI-2 scores to identify subgroups within the obese cohort.Linear mixed models were then applied to examine the trajectories of postoperative symptom changes across subgroups.Results:Levels of cystatin C,cholinesterase,gamma-glutamyl transferase,triglycerides,and apolipoprotein E were significantly higher in the obese group compared to the healthy group(all P＜0.05),and EDI-2 total score was also significantly elevated(P＜0.05);the prealbumin level in the healthy group was significantly higher than that in the obese group(P＜0.05).These six indicators were positively correlated with EDI-2 score(all r＞0.20,P＜0.05).Based on these markers,the LPA classified the obese group into two subgroups,with subgroup 2 exhibiting higher levels of most metabolic indicators than subgroup 1.During the 18-month postoperative follow-up,both subgroups showed reductions in EDI-2 score,but symptom improvement in subgroup 2 occurred later(month 6)compared to subgroup 1(month 4).Conclusion:Preoperative levels of cholinesterase,gamma-glutamyl transferase,prealbumin,triglycerides,and apolipoprotein E may serve as predictive indicators for improvement in disordered eating symptoms.Recovery patterns after bariatric surgery vary among obese patients with different metabolic profiles,highlighting the need for tailored intervention strategies.

BACKGROUND:Glucose metabolism plays a crucial role in maintaining the normal physiological function of the body.Glucose metabolism disorder can lead to a range of health problems.At present,the molecular mechanism of glucose metabolism and potential gene targets in osteoarthritis need to be further studied.OBJECTIVE:To analyze the genes related to glucose metabolism in osteoarthritis by bioinformatics methods,and to verify them by cell experiments in vitro,so as to provide new ideas for prevention and treatment of osteoarthritis from the perspective of glucose metabolism.METHODS:Differentially expressed genes and glucose metabolism related genes were screened out from GEO database and GeneCards database.The genes related to both osteoarthritis and glucose metabolism were obtained.Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analysis were used to screen the functions and pathways of these genes.To further investigate the interactions between these genes,a protein-protein interaction network was constructed and computational methods using Cytoscape software were utilized to identify key genes(Hub genes)for osteoarthritis glucose metabolism.In addition,CIBERSORT algorithm was used to analyze immune cell infiltration in GSE98918 data set.Finally,the expression of Hub gene was verified by cell experiment in vitro.RESULTS AND CONCLUSION:A total of 134 osteoarthritis glucose metabolism-related genes were obtained.GO enrichment analysis showed that GO was mainly involved in the reaction of toxic substances,the positive regulation of inflammatory reaction,the reaction of lipopolysaccharide and so on.KEGG enrichment analysis showed that it was closely related to PI3K-Akt signaling pathway,interleukin-17 signaling pathway,and AGE-RAGE signaling pathway in diabetic complications.Macrophages,monocytes,resting natural killer cells,regulatory T cells,and CD8+T cells were the main infiltrating cells obtained by immune infiltration analysis.In vitro cell experiments showed that the expression of Hub genes SERPINF1,TAC1,GLUL,APOE,and TMEM176A in the experimental group was significantly different from that in the control group.The mRNA expression of HLA-DRA was not statistically significant.The results show that SERPINF1,TAC1,Glul,APOE,and TMEM176A may be the key genes of glucose metabolism in osteoarthritis,and may be potential new targets for the prevention and treatment of osteoarthritis.

BACKGROUND:Endoplasmic reticulum stress is closely associated with the occurrence and progression of osteoarthritis,but the key genes and regulatory mechanisms remain unclear.OBJECTIVE:Utilizing bioinformatics to identify crucial endoplasmic reticulum stress-related genes in osteoarthritis,followed by experimental validation in cell models,aiming to offer new strategies for the prevention and treatment of osteoarthritis from the perspective of endoplasmic reticulum stress.METHODS:Osteoarthritis-related dataset GSE55235 was downloaded from the GEO database.Differential genes in synovial tissue of osteoarthritis were obtained through WGCNA machine learning algorithm and intersected with endoplasmic reticulum stress-related genes from the GeneCard database to acquire differential endoplasmic reticulum stress-related genes in osteoarthritis(ERSDEGs).These genes underwent GO and KEGG enrichment analysis,construction of a protein-protein interaction network,and validation of diagnostic efficiency in external datasets.Human primary synovioblast model of osteoarthritis was constructed.The control group was not treated,and the experimental group received 20 ng/mL lipopolysaccharide to simulate osteoarthritic synoviocyte modeling.Real-time fluorescence quantitative PCR was then performed to validate the expression level of each differential gene followed by immune infiltration analysis.RESULTS AND CONCLUSION:A total of 27 key endoplasmic reticulum stress-related genes in osteoarthritis were identified.GO enrichment analysis revealed that these genes were mainly enriched in collagen metabolism,chemokine,antigen binding,and immunoglobulin receptor binding processes.KEGG analysis indicated that they were mainly enriched in pathways such as rheumatoid arthritis and relaxin signaling pathways.The protein-protein interaction network was constructed,and the top five genes with the highest scores were identified using the Degree algorithm in Cytoscape software,including matrix metallopeptidase 1,tumor necrosis factor ligand superfamily member 11,matrix metallopeptidase 9,collagen type 1 alpha 1,and chemokine C-X-C motif ligand 12.Immune infiltration analysis showed that immune cells were mainly distributed in M2 macrophages,chemokine C-X-C motif ligand 12 showed a significant positive correlation with resting mast cells(r=0.70,P＜0.001)and a significant negative correlation with resting memory CD4+T cells(r=-0.72,P＜0.001).Matrix metallopeptidase 9 showed a significant positive correlation with MO macrophages(r=0.94,P＜0.001).Collagen type 1 alpha 1 was significantly positively correlated with resting NK cells(r=0.77,P＜0.001)and MO macrophages(r=0.76,P＜0.001).Receiver operator characteristic curve analysis in external datasets GSE77298 and GSE1919 showed that the five key genes had good disease prediction value.In vitro cell experiments demonstrated significant differences in the expression levels of matrix metallopeptidase 1,tumor necrosis factor ligand superfamily member 11,matrix metallopeptidase 9,and chemokine C-X-C motif ligand 12 in the osteoarthritic cell model compared to the control group.These results showed that the key genes related to endoplasmic reticulum stress in osteoarthritis,including matrix metallopeptidase 1,tumor necrosis factor ligand superfamily member 11,matrix metallopeptidase 9,and chemokine C-X-C motif ligand 12,influence the occurrence and development of osteoarthritis through the links of collagen degradation and immune regulation,which are expected to provide new insights into the targeted treatment of osteoarthritis.

Objective To examine the expression levels of inflammatory factors,including IL-6,IL-10,MMP-9,IL-17A,and LDH,in the cerebrospinal fluid(CSF)of patients with spontaneous intracerebral hemor-rhage(sICH),and to investigate their associations with disease severity and clinical outcomes.Methods A total of 168 patients with sICH admitted to Tangshan GongRen Hospital between January 2023 and January 2025 were prospectively enrolled as the study group,while 30 non-sICH patients who underwent lumbar puncture during the same period served as the control group.Levels of inflammatory factors in CSF were compared between the two groups.Spearman's rank correlation analysis was performed to assess the association between inflammatory factor levels and clinical severity in sICH patients.Binary logistic regression analysis was conducted to identify independent predictors of sICH prognosis.Receiver operating characteristic(ROC)curve analysis was employed to evaluate the prognostic value of these inflammatory factors in sICH.Results The levels of IL-6,IL-10,MMP-9,IL-17A,and LDH in the CSF of patients with sICH were significantly higher than those in non-sICH patients(all P<0.05).Furthermore,among sICH patients,these biomarker levels exhibited a graded increase according to disease severity:severe>moderate>mild(all P<0.05).Spearman correlation analysis revealed significant positive correlations between CSF levels of IL-6,IL-10,MMP-9,IL-17A,and LDH and the NIHSS scores,with correlation coefficients(r)of 0.686,0.553,0.685,0.593,and 0.695,respectively(all P<0.05).When comparing the prognoses of sICH patients,hematoma size,NIHSS score,and CSF levels of IL-6,IL-10,MMP-9,IL-17A,and LDH were significantly higher in the deceased group than in the survival group(P<0.05),whereas ApoA1 levels were lower in the deceased group(P<0.05).Logistic regression analysis revealed that hematoma size,NIHSS score,and elevated CSF levels of IL-6,IL-10,MMP-9,IL-17A,and LDH were independent risk factors for mortality in sICH patients(P<0.05).ROC curve analysis showed that the AUC values for CSF IL-6,IL-10,MMP-9,IL-17A,and LDH in predicting sICH prognosis were 0.794,0.754,0.670,0.717,and 0.683,respectively.Notably,the combination of CSF inflammatory markers with hematoma size and NIHSS score yielded an AUC of 0.993,demonstrating significantly greater predictive accuracy than CSF inflammatory markers alone(P<0.05).Conclusions The levels of inflammatory factors in the CSF,including IL-6,IL-10,MMP-9,IL-17A,and LDH,were elevated in patients with sICH and positively correlated with disease severity.Combining CSF inflammatory markers with the NIHSS score and hematoma size improved the predictive accuracy for sICH prognosis.

Objective To evaluate the practical application of the Media Fill Test(MFT)in assessing aseptic compounding competency of personnel in Pharmacy Intravenous Admixture Services(PIVAS).Methods A multicenter controlled study was conducted across six tertiary hospitals(center ①-⑥)in China.Participants were divided into an inexperienced group(Group A,n=118)and an experienced group(Group B,n=118),each performing five MFT operations.Positive controls validated medium efficacy.Contamination rates and pass rates were analyzed using chi-square and Fisher's exact tests.Results Valid samples included 584 for Group A and 588 for Group B.The sample pass rate was 66.78%(390/584)in Group A and 91.67%(539/588)in Group B,while personnel pass rates were 46.15%(54/117)and 80.51%(95/118),respectively,with significant intergroup differences(both P<0.01).All centers except Center ⑥ showed significantly higher pass rates in Group B(all P<0.05).Conclusion MFT effectively differentiates technical proficiency levels and is suitable for training evaluation of novice PIVAS staff.

Objective:To evaluate the role of the CC chemokine ligand 2/CC chemokine receptor 2 (CCL2/CCR2) signaling pathway in electroacupuncture (EA)-induced reduction of spinal cord injury (SCI) in rats.Methods:Sixty clean-grade healthy adult female Sprague-Dawley rats, weighing 210-250 g, were divided into 5 groups ( n=12 each) using a random number table method: sham operation group (group S), group SCI, SCI+ Anti-CCL2 group (group SCI+ A), SCI+ EA group (group SCI+ EA), and spinal cord injury+ EA+ rCCL2 group (group SCI+ EA+ R). The SCI model was established using the Allen method in anesthetized animals. Group S only underwent spinous process and laminectomy without damaging the spinal cord. In SCI+ A group, CCL2 neutralizing antibody 50 μg/kg was intrathecally injected at 0, 3 and 6 days after successful development of the SCI model. On the 7th day after the successful development of the SCI model, Jiaji, Dazhui and Mingmen acupoints were stimulated with a depth of 2 mm, voltage of 12-15 mV and frequency of 2 Hz for 30 min once a day for 7 consecutive days in SCI+ EA group. In SCI+ EA+ R group, recombinant rat CCL2 2.5 μg/kg was intrathecally injected at the site of injury at 0, 3 and 6 days after successful development of the SCI model, and the remaining treatments were similar to those in SCI+ EA group. At 1 day before developing the model, 0, 3, 7, 14, 21 and 28 days after developing the model, the mechanical paw withdraw threshold (MWT) and thermal paw withdrawal latency (TWL) were measured, and the motor function was assessed by BBB score. The rats were sacrificed after the final behavioral testing, and their spinal cord tissues were obtained for determination of the expression of CCL2 and CCR2 protein and mRNA (by Western blot or quantitative real-time polymerase chain reaction), the expression of GFAP (by immunofluorescence), contents of tumor necrosis factor-alpha (TNF-α), interleukin-1beta (IL-1β) and IL-6 (by enzyme-linked immunosorbent assay) and for examination of the pathological changes (using HE staining). Results:Compared with S group, the MWT and BBB scores were significantly decreased and the TWL was shortened at each time point after developing the model, the expression of CCL2 and CCR2 protein and mRNA and GFAP was up-regulated, and the contents of TNF-α, IL-1β and IL-6 were increased in SCI group ( P<0.05). Compared with SCI group, the MWT and BBB scores were significantly increased, and the TWL was prolonged at 7 days after developing the model in SCI+ A group, the MWT and BBB scores were significantly increased, and the TWL was prolonged at 14 days after developing the model in SCI+ EA group, and the expression of CCL2 and CCR2 protein and mRNA and GFAP was significantly down-regulated, and the contents of TNF-α, IL-1β and IL-6 were decreased in SCI+ A and SCI+ EA groups ( P<0.05). Compared with SCI+ EA group, the MWT and BBB scores were significantly decreased at 14 days after developing the model, the TWL was shortened, the expression of CCL2 and CCR2 protein and mRNA and GFAP was up-regulated, and the contents of TNF-α, IL-1β and IL-6 were increased in SCI+ EA+ R group ( P<0.05). Compared with SCI+ A and SCI+ EA groups, the histopathological injury were significantly attenuated in SCI group, and the histopathological injury was aggravated in SCI+ EA+ R group. Conclusions:The CCL2/CCR2 signaling pathway is involved in the process by which EA reduces SCI, and the mechanism is related to the inhibition of astrocyte activation, thereby reducing the inflammatory response.