BACKGROUND:At present,osteoarthritis has become a major disease affecting the quality of life of the elderly,and the therapeutic effect is poor,often focusing on preventing the disease process,and the pathogenesis of osteoarthritis is still not fully understood.Bioinformatics analysis was carried out to explore the main pathogenesis of osteoarthritis and related mechanisms of gene coding regulation. OBJECTIVE:To screen core differential genes with a major role in osteoarthritis by gene expression profiling. METHODS:Datasets were downloaded from the Gene Expression Omnibus(GEO):GSE114007,GSE117999,and GSE129147.Differential genes in the GSE114007 and GSE117999 data collections were screened using R software,performing differential genes to weighted gene co-expression network analysis.The module genes most relevant to osteoarthritis were selected to perform protein interaction analysis.Candidate core genes were selected using the cytocape software.The candidate core genes were subsequently subjected to least absolute shrinkage and selection operator regression and COX analysis to identify the core genes with a key role in osteoarthritis.The accuracy of the core genes was validated using an external dataset,GSE129147. RESULTS AND CONCLUSION:(1)A total of 477 differential genes were identified,265 differential genes associated with osteoarthritis were obtained by weighted gene co-expression network analysis,and 8 candidate core genes were identified.The least absolute shrinkage and selection operator regression analysis finally yielded a differential gene ASPM with core value that was externally validated.(2)It is concluded that abnormal gene ASPM expression screened by bioinformatics plays a key central role in osteoarthritis.

Objective To analyze the epidemiological characteristics of population-based cohort of patients with the comorbidity of cardiovascular and cerebrovascular diseases and type 2 diabetes in Lingnan area,and to study the related influencing factors in the onset and progression of the disease. Methods A retrospective cohort study was used to collect data from people who underwent physical examination in the Eleventh People's Hospital of Guangzhou from May 2022 to December 2023. Data mainly included questionnaire surveys,physical examinations,and laboratory testing indicators. The 2022 was defined as the baseline to statistically analyze the occurrence and development of the comorbidity of cardiovascular and cerebrovascular diseases and type 2 diabetes in this population,and to analyze the related influencing factors of comorbidity and distribution of traditional Chinese medicine constitution in comorbidity population. Results Finally,a total of 26498 subjects were included,from which there were 359 patients with the comorbidity of cardiovascular and cerebrovascular diseases and type 2 diabetes (comorbidity group),accounting for 1.4％ of the total. Among them,290 were male,accounting for 80.8％,which is much higher than female. The mean age was(61.6±9.5)years old,which was significantly higher than that of the non-comorbidity group. The cases of comorbidity group were mainly concentrated in the age group of 45-75 years old,and no cases were found in people under 35 years old. There were 293 patients with the comorbidity of ischemic cardiovascular disease and type 2 diabetes,whose proportion (81.6％) is much higher than that of other types. Significant differences between comorbidity group and non-comorbidity group were found in terms of gender,age,age distribution,height,body mass,body mass index (BMI),smoking,alcohol consumption,marital status,exercise,and dampness syndrome (P<0.05). About 1.0％ of population at the baselined converted from non-comorbidities or single disease to comorbidities. The proportion of newly diagnosed patients with the comorbidity of ischemic cardiovascular disease and type 2 diabetes is the highest,up to 68.9％. BMI overweight or obesity,large waist circumference,smoking,dampness syndrome and exercise were the risk factors affecting the comorbidity of cardiovascular and cerebrovascular diseases and type 2 diabetes. A total of 264 cases of comorbidity group had finished evaluation of traditional Chinese medicine body constitutions. The proportion of balanced constitution was the highest (31.1％),followed by dampness-heat constitution (18.2％),yang-deficiency constitution (13.3％) and phlegm-dampness constitution (11.7％). Conclusion The incidence of the comorbidity of cardiovascular and cerebrovascular diseases and type 2 diabetes is high in Lingnan area,which may be related to dampness constitution,BMI overweight or obesity,large waist circumference,smoking,dampness syndrome and lack of exercise.

Objective To explore the metastasis rate and related risk factors of T1 stage colonic neuroendocrine tumor(C-NET),and to compare the long-term survival outcomes of patients with non-metastatic(T1N0M0 stage)C-NET after local excision(LE)or radical surgery(RS).Methods Clinical information of 433 patients diagnosed with C-NET in the SEER database from January 1,2004 to December 31,2015 were analyzed.Cox regression was used to analyze the influencing factors of metastasis of C-NET.The patients without metastasis were divided into LE group and RS group,and assigned in a 1∶1 ratio using propensity score matching(PSM)according to gender,age,tumor largest diameter,and infiltration depth,with a caliper value set to 0.02.Kaplan-Meier survival curve was used to analyze 5-year cancer-specific survival(CSS)and overall survival(OS)of patients.Cox regression analysis was used to evaluate the influence of metastasis on survival.Results Among 419 C-NET patients,19(4.52%)had distant metastases.Cox regression analysis showed that 11-20 mm of tumor large diameter(HR=9.264,95%CI 3.322-25.835,P＜0.001),right colon location(HR=0.116,95%CI 0.042-0.321,P＜0.001),and submucosal invasion(HR=5.842,95%CI 1.858-18.371,P=0.003)were independent risk factors for distant metastasis of T1 stage C-NET.The 5-year OS rates of non-metastatic and metastatic patients were 94.5%and 47.4%,respectively(χ2=79.762,P＜0.001),and their 5-year CSS rates were 99.5%and 55.7%,respectively(χ2=164.604,P＜0.001).Before PSM,the 5-year OS rates of non-metastatic C-NET patients after LE and RS were 95.8%and 90.1%(χ2=2.679,P=0.063),and the 5-year CSS rates were 100.0%and 97.2%(χ2=0.579,P=0.038);after PSM,the 5-year OS rates of non-metastatic patients after LE and RS were 96.8%and 92.1%(χ2=3.606,P=0.058),and the 5-year CSS rates were 100.0%and 98.5%(χ2=1.015,P=0.314).After PSM,there was no significant difference in the 5-year OS and CSS of patients with defferent tumor location,tumor large diameter,or submucosal invasion between the LE and RS groups.Conclusions 11-20 mm of tumor diameter,right colon location,and submucosal invasion might be independent risk factors for distant metastasis of T1 stage C-NET,and LE could be an appropriate treatment option for non-metastatic C-NET.

Objective To establish a nomogram model for efficiently predicting overall survival(OS)and cancer-specific survival(CSS)in patients with CRCHBM.Method 2239 patients from 2010 to 2019 were retrospectively analyzed from the Surveillance,Epidemiology,and End Results Program(SEER)databases and Wuhan Union Hospital Cancer Center.SEER is randomly assigned to the training and internal validation cohorts,and the Wuhan database serves as the external validation.Cox regression analyses were used to determine the independent clinicopathological prognosis factors affecting OS and CSS,and a nomogram was constructed to predict OS and CSS.The clinical utility of columnar plots was assessed using calibration curves,area under the curve(AUC),and decision curve analysis(DCA).Result OS column line graphs were constructed based on nine independent predictors:age,tumor location,degree of differentiation,tumor size,TNM stage,chemotherapy,primary focus surgery,number of lymph nodes sampled,and serum carcinoembryonic antigen(CEA)level.The C-index of the nomogram to predict the 1-,3-,and 5-year OS were 0.764,0.790,and 0.805 in the training group,0.754,0.760,and 0.801 in the internal validation group,and 0.822,0.874,and 0.906 in the external validation group.CSS column line graphs were constructed based on 3 independent predictors of TNM staging,radiotherapy and chemotherapy.The 1-,3-,and 5-year CSS AUROC values of the training group were 0.791,0.757,and 0.782,respectively.0.682,0.709,0.625 in the internal validation group and 0.759,0.702,0.755 in the external validation group,respectively.The results of receiver operating characteristic curve(ROC),ROC and DCA showed that the use of our model was more effective in predicting OS and CSS than other single clinicopathological features.Conclusion In summary,the nomogram based on significant clinicopathological features can be conveniently used to predict OS and CSS individually in patients with CRCHBM.

Objective:To analyze the expression levels and clinical significance of interferon (IFN)-α/β in the renal cortex and serum of children with lupus nephritis (LN).Methods:A total of 32 children with LN diagnosed in the pediatric nephrology department of the Second Xiangya Hospital of Central South University from December 2017 to September 2020 were selected as the study subjects (LN group). The normal kidney control group consisted of 3 normal kidney transplant volunteers who underwent biopsy of kidney tissue (normal kidney control group), while 14 healthy children who underwent physical examination were collected as the normal control group. According to the Systemic Lupus Erythematosus Disease Activity Index (SLEDAI), LN patients were divided into mild activity group ( n=8), moderate activity group ( n=9), and severe activity group ( n=15). According to the International Society of Nephrology/Society of Nephrology (ISN/RPS) 2003 LN classification criteria, pathological classification was performed (3 cases in the mild pathological damage group, 8 cases in the moderate pathological damage group, and 11 cases in the severe pathological damage group); Immunohistochemistry was used to detect the expression and distribution of IFN-α/β in glomeruli and renal interstitium; Enzyme linked immunosorbent assay (ELISA) was used to detect the concentration of IFN-α/β in serum samples and analyze its correlation with the pathological classification and disease activity of LN patients. Results:The serum and renal cortex IFN-α/β levels in the LN group were higher than those in the normal control group and normal kidney control group, respectively (all P<0.05). The average level of serum IFN-α/β in the heavy activity group was higher than that in the light and moderate activity groups (all P<0.05). The serum and renal cortex IFN-α/β levels in the severe pathological damage group were significantly higher than those in the mild and moderate pathological damage groups (all P<0.05). Conclusions:IFN-α/β in the renal cortex is closely related to renal injury in LN; Serum IFN-α/β can assist in evaluating the disease activity level of LN to a certain extent.

Objective To propose a topology-optimized design method for bone plates that effectively reduces stress concentration and improves bone healing compared with traditional topology-optimized method.Methods Based on the load constraints of a bone plate in a broken bone-splint system,an improved topology optimization method based on the load path was used to optimize the design of the bone plate structure.Subsequently,a bone regeneration simulation model based on bias strain was used to simulate the transverse fracture of the tibial tuberosity,and the force state,fixation stability,and healing performance of the optimized plate were evaluated based on data from the bone regeneration process.Results Using the optimized bone plate based on the load path optimization method,the maximum stresses of the bone plate were 55.68 MPa and 42.23 MPa at volume fractions f=0.55 and 0.65,respectively,which were reduced by 32.96％and 29.95％,respectively,compared with the optimized bone plate using the traditional topology optimization method.The average elastic moduli of the callus after the bone-healing process were 1 439.47 MPa and 1 355.71 MPa,respectively.These values were 145.86％and 131.06％higher than those of traditional bone plates,respectively.Conclusions In this study,the proposed improved topology optimization method based on the load path was used to optimize bone-plate structures.Compared to the bone plate obtained using the traditional topology optimization method,the optimized bone plate was more uniformly loaded and safer.The bone-healing performance was significantly improved compared to the traditional bone plate.These results provide a new method for the optimal design of internal fixation implants for fractures.

Background::Findings on the association of genetic factors and colorectal cancer (CRC) survival are limited and inconsistent, and revealing the mechanism underlying their prognostic roles is of great importance. This study aimed to explore the relationship between functional genetic variations and the prognosis of CRC and further reveal the possible mechanism.Methods::We first systematically performed expression quantitative trait locus (eQTL) analysis using The Cancer Genome Atlas (TCGA) dataset. Then, the Kaplan-Meier analysis was used to filter out the survival-related eQTL target genes of CRC patients in two public datasets (TCGA and GSE39582 dataset from the Gene Expression Omnibus database). The seven most potentially functional eQTL single nucleotide polymorphisms (SNPs) associated with six survival-related eQTL target genes were genotyped in 907 Chinese CRC patients with clinical prognosis data. The regulatory mechanism of the survival-related SNP was further confirmed by functional experiments.Results::The rs71630754 regulating the expression of endoplasmic reticulum aminopeptidase 1 ( ERAP1) was significantly associated with the prognosis of CRC (additive model, hazard ratio [HR]: 1.43, 95% confidence interval [CI]: 1.08-1.88, P = 0.012). The results of dual-luciferase reporter assay and electrophoretic mobility shift assay showed that the A allele of the rs71630754 could increase the binding of transcription factor 3 (TCF3) and subsequently reduce the expression of ERAP1. The results of bioinformatic analysis showed that lower expression of ERAP1 could affect the tumor immune microenvironment and was significantly associated with severe survival outcomes. Conclusion::The rs71630754 could influence the prognosis of CRC patients by regulating the expression of the immune-related gene ERAP1. Trial Registration::No. NCT00454519 (https://clinicaltrials.gov/)

Postmenopausal osteoporosis is a kind of degenerative disease, also described as "invisible killer." Estrogen is generally considered as the key hormone for women to maintain bone mineral content during their lives. Iron accumulation refers to a state of human serum ferritin that is higher than the normal value but less than 1000 μg/L. It has been found that iron accumulation and osteoporosis could occur simultaneously with the decrease in estrogen level after menopause. In recent years, many studies indicated that iron accumulation plays a vital role in postmenopausal osteoporosis, and a significant correlation has been found between iron accumulation and fragility fractures. In this review, we summarize and analyze the relevant literature including randomized controlled trials, systematic reviews, and meta-analyses between January 1996 and July 2022. We investigate the mechanism of the effect of iron accumulation on bone metabolism and discuss the relationship of iron accumulation, osteoporosis, and postmenopausal fragility fractures, as well as the main clinical treatment strategies. We conclude that it is necessary to pay attention to the phenomenon of iron accumulation in postmenopausal women with osteoporosis and explore the in-depth mechanism of abnormal bone metabolism caused by iron accumulation, in order to facilitate the discovery of effective therapeutic targets for postmenopausal osteoporosis.
Humans ; Female ; Osteoporotic Fractures ; Osteoporosis, Postmenopausal/drug therapy* ; Postmenopause ; Osteoporosis ; Bone Density ; Estrogens ; Iron/therapeutic use*

Objective: To study the clinicopathological characteristics, and further understand primary central nervous system T-cell lymphoma (PCNSTCL) in children and adolescents. Methods: Five cases of PCNSTCL in children and adolescents were collected from December 2016 to December 2021 at the First Affiliated Hospital of Zhengzhou University. The clinicopathological characteristics, immunophenotypic, and molecular pathologic features were analyzed, and relevant literatures reviewed. Results: There were two male and three female patients with a median age of 14 years (range 11 to 18 years). There were two peripheral T-cell lymphomas, not otherwise specified, two anaplastic large cell lymphoma, ALK-positive and one NK/T cell lymphoma. Pathologically, the tumor cells showed a variable histomorphologic spectrum, including small, medium and large cells with diffuse growth pattern and perivascular accentuation. Immunohistochemistry and in situ hybridization showed CD3 expression in four cases, and CD3 was lost in one case. CD5 expression was lost in four cases and retained in one case. ALK and CD30 were expressed in two cases. One tumor expressed CD56 and Epstein-Barr virus-encoded RNA. All cases showed a cytotoxic phenotype with expression of TIA1 and granzyme B. Three cases had a high Ki-67 index (>50%). T-cell receptor (TCR) gene rearrangement was clonal in two cases. Conclusions: PCNSTCL is rare, especially in children and adolescents. The morphology of PCNSTCL is diverse. Immunohistochemistry and TCR gene rearrangement play important roles in the diagnosis.
Female ; Humans ; Male ; Central Nervous System/pathology* ; Central Nervous System Neoplasms/pathology* ; Epstein-Barr Virus Infections ; Herpesvirus 4, Human ; Lymphoma, T-Cell/pathology* ; Lymphoma, T-Cell, Peripheral/genetics* ; Receptor Protein-Tyrosine Kinases/genetics* ; Receptors, Antigen, T-Cell ; Child ; Adolescent

Dao-di herbs are the treasure of Chinese materia medica and one of the characteristic research objects of traditional Chinese medicine(TCM). Probing into the microevolution of Dao-di herbs can help to reveal their biological essence and quality formation mechanisms. The progress in molecular biology and omics provides the possibility to elucidate the phylogenetic and quality forming characteristics of Dao-di herbs at the molecular level. In particular, genomics serves as a powerful tool to decipher the genetic origins of Dao-di herbs, and molecular markers have been widely used in the research on the genetic diversity and population structure of Dao-di herbs. Focusing on the excellent traits and quality of Dao-di herbs, this paper reviews the studies about the microevolution process of quality formation mechanisms of Dao-di herbs with the application of molecular markers and omics, aiming to underpin the protection and utilization of TCM resources.
Drugs, Chinese Herbal ; Phylogeny ; Plants, Medicinal/chemistry* ; Medicine, Chinese Traditional ; Phenotype