Osteoarthritis(OA)is a common joint disease in clinical practice,and cartilage damage is a typical pathological change.The pathogenesis of OA is complex,and various adverse factors can lead to the occurrence of OA.Mitochondria are im-portant organelles within cells and play important roles in cellular physiological and pathological activ-ities.Mitochondrial quality control is an important regulatory mechanism in the body to maintain nor-mal mitochondrial structure and function,mainly including mitochondrial biogenesis,mitochondrial dynamics,mitochondrial autophagy,mitochondrial oxidative stress,and other forms.The imbalance of mitochondrial quality control in chondrocytes is closely related to the occurrence and development of osteoarthritis,and regulating the balance of mi-tochondrial quality control is a potential therapeu-tic point for osteoarthritis.The author reviewed rel-evant research literature in recent years to provide a review of the relationship between mitochondrial quality control and the occurrence and develop-ment of osteoarthritis,in order to provide new ideas and directions for the research and diagnosis and treatment strategies of osteoarthritis.

Objective:To explore the values of reticulin fiber staining (RFS) in evaluating bone marrow (BM) involvement of lymphoma and in grading of BM biopsy from adult lymphoma patients.Methods:Retrospectively,354 cases of adult lymphoma were collected from November 2023 to May 2024 at Peking University Cancer Hospital. BM samples were stained with RFS and immunohistochemical staining (IHC), and flow cytometry (FCM) was also performed with the BM aspirations simultaneously. RFS was graded according to the European Consensus, as high grade (grade 2-3) indicating BM involvement in the study. BM involvement was considered as definite if no less than two positive findings among IHC, FCM, and RFS. Statistical analyses were performed via SPSS software (V23.0).Results:In this series, 52.3% (185/354) of the patients were male; 35.0% (124/354) aged >60 years; BM involvements were found in 34.5% (122/354) cases with high grade of RFS, which, in turn, were lymphoblastic leukemia/lymphoma (ALL/LBL) group (4/4), indolent B-cell lymphoma (IndBCL) group (49.1%, 53/108), transformed B-cell lymphoma (TrBCL) group (2/5), invasive B-cell lymphoma (InvBCL) group (26.5%, 41/155), T and NK cell lymphoma (TNKCL) group (27.3%, 12/44) and classical Hodgkin lymphoma (CHL) group (26.3%, 10/38); if classified by specific types, T-ALL/LBL (2/2), B-ALL/LBL (2/2) and CLL/SLL (8/10) ranked top three. In terms of the positive rate of BM involvement evaluated by RFS, no significant difference was seen between either gender or age groups ( χ2=3.416, P=0.332 and χ2=4.200, P=0.241); however, significant differences were observed between different lymphoma groups and types ( χ2=29.961, P=0.012 and χ2=102.546, P<0.001, respectively). BM invasion rates indicated by IHC and FCM were 25.4% (90/354) and 13.8% (49/354), respectively. The overall BM invasion rate was 24.3% (86/354), and the sensitivity of RFS, IHC, and FCM was 90.8%, 97.8%, and 55.8%, and specificity was 84.1%, 99.6%, and 98.9%, respectively. Overall, the concordance rate of RFS with IHC and FCM was 83.6% and 74.0%, respectively, including 85.8% and 74.2% for InvBCL group, 79.6% and 75.0% for IndBCL group, 84.1% and 75.0% for TNKCL group, 81.6% and 73.7% for CHL group, 5/5 and 2/5 for TrBCL group, and 4/4 and 3/4 for ALL/LBL group. Conclusions:In the evaluation of BM involvement status of adult lymphoma, high sensitivity and specificity are observed by RFS, and high concordance is also noted with both IHC and FCM. Thus, the BM infiltrating status of adult lymphoma could be evaluated more accurately by a combined usage of the three methods.

Objective To explore the biological characteristics associated with different subtypes and the response to immunotherapy by integrating multiomics analysis and artificial neural networks(ANN)to delineate the precise molecular subtypes of adrenocortical carcinoma(ACC)and establish a prognostic prediction model,in order to provide reference for the accurate prognosis assessment and individualized treatment of ACC.Methods The multiomics data of 44 Chinese ACC patients admitted to the Department of Urology,West China Hospital of Sichuan University during Jan.1,2012 and Dec.31,2022 were integrated,including genomic,transcriptomic and clinical features.Ten different clustering algorithms were employed for consensus clustering to identify robust molecular subtypes.The results were then incorporated into an ANN model to construct an ANN-driven prognostic index(ANPI)for patient stratification and survival prediction.Results Three distinct molecular subtypes(cancer subtypes,CS1-3)with significantly different prognoses were identified,among which CS1 exhibited the poorest survival outcomes.A set of 20 core genes was selected to form the basis of the ANPI model.ANPI effectively stratified patients into high-and low-risk groups:patients in the low-ANPI group had significantly better overall survival and exhibited"hot tumor"immune phenotypes,suggesting greater benefits from immunotherapy.In contrast,high-ANPI patients had worse prognoses and displayed"cold tumor"characteristics with weaker immunotherapy responses.Conclusion Our integrative multiomics analysis illustrated the molecular landscape of ACC in the Chinese population and uncovered the key immune-related features linked to clinical outcomes.The ANPI model demonstrated strong performance in prognostic prediction and immunotherapy response assessment,offering a valuable tool for precision oncology and clinical decision-making.

Objective To explore the biological characteristics associated with different subtypes and the response to immunotherapy by integrating multiomics analysis and artificial neural networks(ANN)to delineate the precise molecular subtypes of adrenocortical carcinoma(ACC)and establish a prognostic prediction model,in order to provide reference for the accurate prognosis assessment and individualized treatment of ACC.Methods The multiomics data of 44 Chinese ACC patients admitted to the Department of Urology,West China Hospital of Sichuan University during Jan.1,2012 and Dec.31,2022 were integrated,including genomic,transcriptomic and clinical features.Ten different clustering algorithms were employed for consensus clustering to identify robust molecular subtypes.The results were then incorporated into an ANN model to construct an ANN-driven prognostic index(ANPI)for patient stratification and survival prediction.Results Three distinct molecular subtypes(cancer subtypes,CS1-3)with significantly different prognoses were identified,among which CS1 exhibited the poorest survival outcomes.A set of 20 core genes was selected to form the basis of the ANPI model.ANPI effectively stratified patients into high-and low-risk groups:patients in the low-ANPI group had significantly better overall survival and exhibited"hot tumor"immune phenotypes,suggesting greater benefits from immunotherapy.In contrast,high-ANPI patients had worse prognoses and displayed"cold tumor"characteristics with weaker immunotherapy responses.Conclusion Our integrative multiomics analysis illustrated the molecular landscape of ACC in the Chinese population and uncovered the key immune-related features linked to clinical outcomes.The ANPI model demonstrated strong performance in prognostic prediction and immunotherapy response assessment,offering a valuable tool for precision oncology and clinical decision-making.

This study was aimed at investigating the effectiveness of various host nucleic acid removal and non-specific amplifica-tion techniques in animal tissue samples,to increase the accuracy of pathogen identification in tissue samples.Simulated samples were prepared with a mixture of mouse lung tissue homogenates and Klebsiella pneumoniae fluids,and processed with six host nucleic acid removal kits and three non-specific amplification techniques.The effectiveness of each method in removing host DNA and enriching nucleic acids of pathogenic microorganisms was evaluated through real-time fluorescence quantitative PCR and high-throughput se-quencing.For host nucleic acid removal techniques,the method of selective cleavage and quantitative degradation of host DNA(Com-plete5 kit)effectively decreased the host nucleic acid content in tissue samples and increased the relative abundance of pathogen nucleic acids.In contrast,the magnetic bead method for host DNA removal(Next microbiome DNA enrichment Kit kit)was less effec-tive.At lower pathogen concentrations(77 CFU/mL),the Vazyme kit was more effective than the other kits in removing host nucleic acids.Non-specific amplification techniques(MALBAC whole genome amplification,MDA isothermal amplification,and random primer amplification)were not applicable to tissue samples and were not effective in increasing the relative abundance of pathogen nucleic acids.Selective lysis and quantitative degradation of host DNA were suitable for processing tissue samples with high host back-ground and low pathogenic microorganism levels,whereas non-specific amplification methods were not applicable to tissue samples for pre-processing of macro-genome high-throughput sequencing.

Osteoarthritis(OA)is a common joint disease in clinical practice,and cartilage damage is a typical pathological change.The pathogenesis of OA is complex,and various adverse factors can lead to the occurrence of OA.Mitochondria are im-portant organelles within cells and play important roles in cellular physiological and pathological activ-ities.Mitochondrial quality control is an important regulatory mechanism in the body to maintain nor-mal mitochondrial structure and function,mainly including mitochondrial biogenesis,mitochondrial dynamics,mitochondrial autophagy,mitochondrial oxidative stress,and other forms.The imbalance of mitochondrial quality control in chondrocytes is closely related to the occurrence and development of osteoarthritis,and regulating the balance of mi-tochondrial quality control is a potential therapeu-tic point for osteoarthritis.The author reviewed rel-evant research literature in recent years to provide a review of the relationship between mitochondrial quality control and the occurrence and develop-ment of osteoarthritis,in order to provide new ideas and directions for the research and diagnosis and treatment strategies of osteoarthritis.

This study was aimed at investigating the effectiveness of various host nucleic acid removal and non-specific amplifica-tion techniques in animal tissue samples,to increase the accuracy of pathogen identification in tissue samples.Simulated samples were prepared with a mixture of mouse lung tissue homogenates and Klebsiella pneumoniae fluids,and processed with six host nucleic acid removal kits and three non-specific amplification techniques.The effectiveness of each method in removing host DNA and enriching nucleic acids of pathogenic microorganisms was evaluated through real-time fluorescence quantitative PCR and high-throughput se-quencing.For host nucleic acid removal techniques,the method of selective cleavage and quantitative degradation of host DNA(Com-plete5 kit)effectively decreased the host nucleic acid content in tissue samples and increased the relative abundance of pathogen nucleic acids.In contrast,the magnetic bead method for host DNA removal(Next microbiome DNA enrichment Kit kit)was less effec-tive.At lower pathogen concentrations(77 CFU/mL),the Vazyme kit was more effective than the other kits in removing host nucleic acids.Non-specific amplification techniques(MALBAC whole genome amplification,MDA isothermal amplification,and random primer amplification)were not applicable to tissue samples and were not effective in increasing the relative abundance of pathogen nucleic acids.Selective lysis and quantitative degradation of host DNA were suitable for processing tissue samples with high host back-ground and low pathogenic microorganism levels,whereas non-specific amplification methods were not applicable to tissue samples for pre-processing of macro-genome high-throughput sequencing.

OBJECTIVE To evaluate the influence of pharmaceutical quality control on the efficiency and outcomes of standardized medication therapy management （MTM） services for patients with coronary heart disease by using Economic， Clinical and Humanistic Outcomes （ECHO） model. METHODS This study collected case data of coronary heart disease patients who received MTM services during January-March 2023 （pre-quality control implementation group， n＝96） and June-August 2023 （post-quality control implementation group， n＝164）. Using propensity score matching analysis， 80 patients were selected from each group. The study subsequently compared the economic， clinical， and humanistic outcome indicators of pharmaceutical services between the two matched groups. RESULTS There were no statistically significant differences in baseline data between the two groups after matching （P＞0.05）. Compared with pre-quality control implementation group， the daily treatment cost （16.26 yuan vs. 24.40 yuan， P＜0.001）， cost-effectiveness ratio [23.12 yuan/quality-adjusted life year （QALY） vs. 32.32 yuan/QALY， P＜0.001]， and the incidence of general adverse drug reactions （2.50% vs. 10.00%， P＝0.049） of post-quality control implementation group were decreased significantly； the utility value of the EuroQol Five-Dimensional Questionnaire （0.74± 0.06 vs. 0.71±0.07， P＝0.003）， the reduction in the number of medication related problems （1.0 vs. 0.5， P＜0.001）， the medication adherence score （[ 6.32±0.48） points vs. （6.10±0.37） points， P＝0.001]， and the satisfaction score （[ 92.56±1.52） points vs. （91.95±1.56） points， P＝0.013] all showed significant improvements. Neither group experienced serious adverse drug reactions. There was no statistically significant difference in the incidence of new adverse reactions between the two groups （1.25% vs. 3.75%， P＝0.310）. CONCLUSIONS Pharmaceutical quality control can improve the quality of pharmaceutical care， and the ECHO model can quantitatively evaluate the effect of MTM services， making pharmaceutical care better priced and more adaptable to social needs， thus being worthy of promotion.

Objective : To illuminate the distribution of brucellosis patients and the epidemic typologies as well as the genetic attributes of brucellosis in Bozhou City,Anhui Province,thereby furnishing a substantive foundation for formulating efficacious prevention and control strategies for this disease within the region. Methods : The rose bengal plate agglutination test(RBPT) and the tube agglutination test(TAT) were conducted on a total of 698 blood samples that had been collected.Epidemiological data of the tested subjects were meticulously collected,followed by statistical analyses of the obtained results.The genomic DNA of positive bacterial strains was cultured and extracted.Molecular identification and typing of the isolated strains were executed through 16 S rRNA sequencing.Sequence alignment was conducted employing Clustal W and MEGA 7,with comparisons made against the outcomes of AMOS-PCR and BCSP31-PCR. Results : A total of 66 positive samples were detected through serological assays,with a positive rate of 9.46%.The demographic cohort demonstrating the highest detection rate primarily comprised individuals engaged in live sheep slaughtering.The 1 6 S rRNA gene sequencing on ten positive strains disclosed close phylogenetic affinities with Brucella melitensis.Moreover,the phylogenetic tree analysis indicated that these strains coalesced within the same branch,the findings were in alignment with the results obtained from BCSP31-PCR and AMOS-PCR assays. Conclusion Brucella melitensis assumes a predominant position in the transmission dynamics within this area,identifying individuals involved in sheep breeding,slaughtering,vending,and related occupations as high-risk groups.The outcomes of this study offer molecular biological substantiation for the distribution of brucellosis patients in this region,contribute to genotyping endeavors and tracing studies associated with the pathogen,and concurrently verify the efficacy of 16S rRNA molecular tracing.

Objective Using meta-analysis to identify the risk factors for slow-flow or no-reflow during percutaneous coronary intervention(PCI)in patients with ST-segment elevation acute myocardial infarction(AMI).Methods A computerized retrieval of academic papers concerning the risk factors for slow-flow or no-reflow during PCI in patients with ST-segment elevation AMI from the databases of CNKI,Wanfang Database,VIP,SinoMed,PubMed,Web of Science,Embase,and Cochrane Library was conducted.The retrieval time period was from the establishment of the database to January 2024.In order to ensure the accuracy and reliability of the study,two independent reviewers screened the literature according to the preset inclusion and exclusion criteria,extracted key data,and strictly evaluated the quality of the literature.RevMan5.4 software was used to make meta-analysis.Results A total of 23 articles with a total of 9 780 cases were included in this analysis.The results of meta-analysis showed that reperfusion time ≥6 h(OR=1.52),preoperative TIMI blood flow≤level-Ⅰ(OR=1.12),heavy thrombus burden(OR=1.60),advanced age(OR=1.56),diabetes(OR=1.83),preoperative Killip grade≥Ⅲ(OR=2.52),long target vessel disease(OR=1.95),and collateral flow≤level-Ⅰ(OR=1.61)were the risk factors for slow-flow or no-reflow during PCI in patients with ST-segment elevation AMI.Preoperative systolic blood pressure＜90 mmHg(OR=1.17)and high white blood cell(WBC)count(OR=1.27)were not the risk factors for slow-flow or no-reflow during PCI in patients with ST-segment elevation AMI.Conclusion Reperfusion time ≥ 6 h,preoperative TIMI blood flow≤level-Ⅰ,heavy thrombus burden,advanced age,diabetes,preoperative Killip grade≥level-Ⅲ,long target vessel lesion,and collateral blood flow≤level-Ⅰ are the independent risk factors for slow-flow or no-reflow during PCI in patients with ST-segment elevation AMI.