Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by persistent inflammation and joint damage, accompanied by the accumulation of plasma cells, which contributes to its pathogenesis. Understanding the genetic alterations occurring during plasma cell differentiation in RA can deepen our comprehension of its pathogenesis and guide the development of targeted therapeutic interventions. Here, our study elucidates the intricate molecular mechanisms underlying plasma cell differentiation by demonstrating that PRDX1 interacts with DOK3 and modulates its degradation by the autophagy-lysosome pathway. This interaction results in the inhibition of plasma cell differentiation, thereby alleviating the progression of collagen-induced arthritis. Additionally, our investigation identifies Salvianolic acid B (SAB) as a potent small molecular glue-like compound that enhances the interaction between PRDX1 and DOK3, consequently impeding the progression of collagen-induced arthritis by inhibiting plasma cell differentiation. Collectively, these findings underscore the therapeutic potential of developing chemical stabilizers for the PRDX1-DOK3 complex in suppressing plasma cell differentiation for RA treatment and establish a theoretical basis for targeting PRDX1-protein interactions as specific therapeutic targets in various diseases.

OBJECTIVE To investigate the molecular epidemiological characteristics of clinical isolates of carbapen-em-resistant Klebsiella pneumoniae(CRKP)resistant to ceftazidime/avibactam(CZA).METHODS From Jan.2022 to Dec.2023,totally 63 strains of non-repetitive CZA-resistant CRKP that were isolated for the first time from hospitalized patients of the First Affiliated Hospital of Nanchang University were enrolled in the study,and 50 strains of CZA-sensitive CRKP were randomly chosen as the research subjects.The drug susceptibility rates of the strains were observed.The drug resistance genes,virulence genes and capsular serotypes of the strains were detected by means of polymerase chain reaction(PCR).The molecular epidemiological characteristics of the strains were observed by using molecular biological techniques such as pulse field gel electrophoresis(PFGE)and multilocus sequence typing(MLST).RESULTS Among the CZA-resistant CRKP strains,45(71.43％)were iso-lated from sputum.The result of drug susceptibility testing showed that the drug resistance rates of the CZA-re-sistant strains to amikacin,aztreonam and minocycline were lower than those of the CZA-sensitive strains(P＜0.05),and the drug resistance rates of the CZA-resistant strains to tigecycline was higher than that of the CAZ-sensitive strains(P＜0.05).The carrying rates of blaKPC,blaNDM,blaSHV-1,blaTEM-1,blaCTX-M,blaqnrS,blaacc(6')-Ib and blarmtB genes of the CZA-resistant strains were relatively high.Among the detected capsular serotypes,K64(n=18,28.57％)was dominant.ST11(n=25,39.68％)was predominant strain among the CZA-resistant CRKP strains.CONCLUSIONS ST11 is dominant among the CZA-resistant CRKP strains.The strains carry with multiple drug resistance genes and virulence genes.The drug resistance rate of the CZA-resistant strains to tigecycline is higher than that of the CZA-sensitive strains,and it is necessary to attach great importance during the clinical treatment.

Objective:To screen the optimal machine learning model for predicting the recurrence condition of hepatocellular carcinoma (HCC) at different time points post-surgery, based on the cutoff value of the Ki67 positive proliferation index condition calculated from recurrence-free survival and combined with various clinical features.Methods:retrospective study included initially treated patients with solitary HCC who underwent radical surgery at the Fifth Medical Center of the PLA General Hospital from January 2013 to March 2023. Data included general clinical data, preoperative laboratory parameters, and surgical pathology information about the subjects. The postoperative recurrence status was assessed by querying the medical record system or by telephone follow-up. The Ki67 positive index cutoff value was determined by the X-tile software based on the patient's recurrence-free survival status and time analysis. Survival rates were calculated using the Kaplan-Meier method, and survival curves were plotted. The study population was randomly divided into training and testing groups in a 7:3 ratio using a computer-generated random number method. The minimum redundancy maximum relevance (mRMR) method was used for feature variable selection. Predictive models for postoperative HCC recurrence conditions in patients with HCC were constructed using random forest, support vector machine, logistic regression, and gradient boosting decision tree machine learning algorithms. Inter-group comparisons for continuous data were performed using the t-test or Mann-Whitney U test. Inter-group comparisons of enumeration data were performed using the Pearson χ2 test, continuity-corrected χ2 test, or Fisher's exact test. Results:The cutoff values for the Ki67 positivity index were 0.3 and 0.5 in 510 cases, with a follow-up time ranging from 1.2 to 11.4 years (median: 6.2 years). The recurrence-free survival time was between 1 and 135 months (median: 32 months), with recurrence-free survival rates post-surgery at 1, 2, 3, and 5 years were 87.5%, 77.1%, 61.2%, and 54.5%, respectively. The top five variables predicted HCC recurrence and non-recurrence conditions following surgical follow-up at 6 months, 1 year, 2 years, and beyond 2 years, in accordance with information obtained by the mRMR screen out. The Ki67 positivity index screened a successfully constructed machine learning model to predict HCC recurrence and non-recurrence conditions following surgical follow-up at 6 months, 1 year, 2 years, and beyond 2 years. The machine learning model based on the gradient boosting decision tree algorithm had the best prediction performance among them (areas under the receiver operating characteristic curves for predicting HCC recurrence within six months in the training and validation sets were 0.996 and 0.946, and accuracies were 0.972 and 0.935, respectively).Conclusion:A machine learning model was successfully constructed using the Ki67 positivity index combined with four readily available clinical features to predict HCC recurrence. The machine learning model based on the gradient boosting decision tree algorithm demonstrated the best performance in terms of predicting HCC recurrence within six months after surgery.

OBJECTIVE To investigate the molecular epidemiological characteristics of clinical isolates of carbapen-em-resistant Klebsiella pneumoniae(CRKP)resistant to ceftazidime/avibactam(CZA).METHODS From Jan.2022 to Dec.2023,totally 63 strains of non-repetitive CZA-resistant CRKP that were isolated for the first time from hospitalized patients of the First Affiliated Hospital of Nanchang University were enrolled in the study,and 50 strains of CZA-sensitive CRKP were randomly chosen as the research subjects.The drug susceptibility rates of the strains were observed.The drug resistance genes,virulence genes and capsular serotypes of the strains were detected by means of polymerase chain reaction(PCR).The molecular epidemiological characteristics of the strains were observed by using molecular biological techniques such as pulse field gel electrophoresis(PFGE)and multilocus sequence typing(MLST).RESULTS Among the CZA-resistant CRKP strains,45(71.43％)were iso-lated from sputum.The result of drug susceptibility testing showed that the drug resistance rates of the CZA-re-sistant strains to amikacin,aztreonam and minocycline were lower than those of the CZA-sensitive strains(P＜0.05),and the drug resistance rates of the CZA-resistant strains to tigecycline was higher than that of the CAZ-sensitive strains(P＜0.05).The carrying rates of blaKPC,blaNDM,blaSHV-1,blaTEM-1,blaCTX-M,blaqnrS,blaacc(6')-Ib and blarmtB genes of the CZA-resistant strains were relatively high.Among the detected capsular serotypes,K64(n=18,28.57％)was dominant.ST11(n=25,39.68％)was predominant strain among the CZA-resistant CRKP strains.CONCLUSIONS ST11 is dominant among the CZA-resistant CRKP strains.The strains carry with multiple drug resistance genes and virulence genes.The drug resistance rate of the CZA-resistant strains to tigecycline is higher than that of the CZA-sensitive strains,and it is necessary to attach great importance during the clinical treatment.

Objective:To screen the optimal machine learning model for predicting the recurrence condition of hepatocellular carcinoma (HCC) at different time points post-surgery, based on the cutoff value of the Ki67 positive proliferation index condition calculated from recurrence-free survival and combined with various clinical features.Methods:retrospective study included initially treated patients with solitary HCC who underwent radical surgery at the Fifth Medical Center of the PLA General Hospital from January 2013 to March 2023. Data included general clinical data, preoperative laboratory parameters, and surgical pathology information about the subjects. The postoperative recurrence status was assessed by querying the medical record system or by telephone follow-up. The Ki67 positive index cutoff value was determined by the X-tile software based on the patient's recurrence-free survival status and time analysis. Survival rates were calculated using the Kaplan-Meier method, and survival curves were plotted. The study population was randomly divided into training and testing groups in a 7:3 ratio using a computer-generated random number method. The minimum redundancy maximum relevance (mRMR) method was used for feature variable selection. Predictive models for postoperative HCC recurrence conditions in patients with HCC were constructed using random forest, support vector machine, logistic regression, and gradient boosting decision tree machine learning algorithms. Inter-group comparisons for continuous data were performed using the t-test or Mann-Whitney U test. Inter-group comparisons of enumeration data were performed using the Pearson χ2 test, continuity-corrected χ2 test, or Fisher's exact test. Results:The cutoff values for the Ki67 positivity index were 0.3 and 0.5 in 510 cases, with a follow-up time ranging from 1.2 to 11.4 years (median: 6.2 years). The recurrence-free survival time was between 1 and 135 months (median: 32 months), with recurrence-free survival rates post-surgery at 1, 2, 3, and 5 years were 87.5%, 77.1%, 61.2%, and 54.5%, respectively. The top five variables predicted HCC recurrence and non-recurrence conditions following surgical follow-up at 6 months, 1 year, 2 years, and beyond 2 years, in accordance with information obtained by the mRMR screen out. The Ki67 positivity index screened a successfully constructed machine learning model to predict HCC recurrence and non-recurrence conditions following surgical follow-up at 6 months, 1 year, 2 years, and beyond 2 years. The machine learning model based on the gradient boosting decision tree algorithm had the best prediction performance among them (areas under the receiver operating characteristic curves for predicting HCC recurrence within six months in the training and validation sets were 0.996 and 0.946, and accuracies were 0.972 and 0.935, respectively).Conclusion:A machine learning model was successfully constructed using the Ki67 positivity index combined with four readily available clinical features to predict HCC recurrence. The machine learning model based on the gradient boosting decision tree algorithm demonstrated the best performance in terms of predicting HCC recurrence within six months after surgery.

Uncovering the risk factors of pulmonary hypertension and its mechanisms is crucial for the prevention and treatment of the disease.In the current study,we showed that experimental periodontitis,which was established by ligation of molars followed by orally smearing subgingival plaques from patients with periodontitis,exacerbated hypoxia-induced pulmonary hypertension in mice.Mechanistically,periodontitis dysregulated the pulmonary microbiota by promoting ectopic colonization and enrichment of oral bacteria in the lungs,contributing to pulmonary infiltration of interferon gamma positive(IFNγ+)T cells and aggravating the progression of pulmonary hypertension.In addition,we identified Prevotella zoogleoformans as the critical periodontitis-associated bacterium driving the exacerbation of pulmonary hypertension by periodontitis,and the exacerbation was potently ameliorated by both cervical lymph node excision and IFNγ neutralizing antibodies.Our study suggests a proof of concept that the combined prevention and treatment of periodontitis and pulmonary hypertension are necessary.

Objective: To establish a microwave digestion-inductively coupled plasma mass spectrometry assay for simultaneous determination of multiple elements in placenta. Methods: Fresh placental tissues were dried at 60 ℃ for 15 h and ground into power. Then, 0.3 g homogenized samples were digested in a microwave digestion system. The interference from mass spectrometry was removed using the kinetic energy discrimination model in the inductively coupled plasma mass spectrometry, and the baseline interference was removed by online internal standards. The contents of 17 elements were determined in placental specimens using the established microwave digestion -inductively coupled plasma mass spectrometry assay, including V, Ni, Co, Fe, Cr, Cu, Zn, Mn, As, Sn, Sb, Ba, Se, Cd, Pb, Hg and Tl. Results: Good linearity was shown for V, Ni, Co, Cr, As, Se, Cd, Pb and Tl at 1 to 50 µg/L, Fe at 100 to 5 000 µg/L, Zn, Cu, Mn and Ba at 10 to 500 µg/L, Sn and Sb at 0.1 to 5 µg/L, and Hg at 0.2 to 2 µg/L, with all correlation coefficients of 0.999 8 and higher. The detection limits of these 17 elements ranged from 0.5 to 100 μg/kg, with relative standard deviations of 2.1% to 6.5%, and recovery rates of 83.3% to 110.0%. The determination results of 17 elements were all within the normal reference range defined in the certified reference materials of chicken (GBW10018). Conclusions The microwave digestion-inductively coupled plasma mass spectrometry established based on optimized pretreatments and mass spectrometry detection conditions, is feasible for simultaneous determination of multiple elements in placenta.

Objective : To study the effect of EFHD2 protein deletion in Sertoli cells on Occludin，a component of tight junction protein and the localization and expression of EF-hand domain family member D2 (EFHD2) in mouse testis． Methods : Total RNA and protein were extracted from adult mice's heart ，liver ，spleen ，lung ，kidney， brain and testis tissues．The mRNA and protein levels of EFHD2 in each organ tissue were detected by qRT-PCR and Western blot．Immunofluorescence and immunohistochemistry detected the localization and expression of EF- HD2 in testicular tissues．SiRNA interference was used to reduce EFHD2 in Sertoli cells to detect Occludin protein expression. Results : qRT-PCR showed that the expression of EFHD2 was the highest in the testis．Western blot results showed that the expression level increased in testis tissue．Indirect immunofluorescence and immunohisto- chemistry results showed that the protein was mainly distributed in Sertoli cells and co-localized with cytoskeletal Vimentin，indicating that the protein was expressed in Sertoli cells．After the decrease of EFHD2 protein expres- sion，Occludin protein expression also decreased． Conclusion The expression of EFHD2 protein in the testis is relatively high，mainly distributed in Sertoli cells of the testis，co-localized with Vimentin，and can affect the nor- mal expression of tight junction protein Occludin．It is suggested that EFHD2 can promote and maintain the junction structure of Sertoli cells and provide a stable microenvironment for spermatogenesis.

Grey matter (GM) alterations may contribute to cognitive decline in individuals with white matter hyperintensities (WMH) but no consensus has yet emerged. Here, we investigated cortical thickness and grey matter volume in 23 WMH patients with mild cognitive impairment (WMH-MCI), 43 WMH patients without cognitive impairment, and 55 healthy controls. Both WMH groups showed GM atrophy in the bilateral thalamus, fronto-insular cortices, and several parietal-temporal regions, and the WMH-MCI group showed more extensive and severe GM atrophy. The GM atrophy in the thalamus and fronto-insular cortices was associated with cognitive decline in the WMH-MCI patients and may mediate the relationship between WMH and cognition in WMH patients. Furthermore, the main results were well replicated in an independent dataset from the Alzheimer's Disease Neuroimaging Initiative database and in other control analyses. These comprehensive results provide robust evidence of specific GM alterations underlying WMH and subsequent cognitive impairment.

Objective:To investigate the situation related to HIV infection and influencing factors of traceability efficiency among sex partners of HIV positive men who have sex with men (MSM).Methods:A cross-sectional survey was conducted to investigate the traceability among sex partners of HIV-positive MSM in Ningbo from 2018 to 2020. Limiting-antigen avidity enzyme immunoassay determined recent HIV infection. The classified data was evaluated by chi-square test, and factors of traceability efficiency were analyzed by multivariate logistic regression.Results:A total of 374 newly confirmed HIV-positive MSM were recruited to participate in the HIV test in Ningbo from 2018 to 2020.HIV positive rate of sex partner was 15.7% (75/479,95% CI:12.4%-18.9%). HIV positive rates of sex partner of recent HIV infection MSM was 31.8% (21/66,95% CI:20.3%-43.4%). The proportion of newly confirmed HIV-positive sex partners of recent HIV infection MSM (76.2%) was higher than that of long-term HIV infection MSM (48.1%). The difference was statistically significant ( P=0.028). Results from the multivariate logistic regression analysis showed that HIV traceability efficiency was higher in the following subpopulations as; HIV positive MSM who were 36-45 years old (compared with 18-25 years old, OR=3.973,95% CI:1.364-11.569), HIV active detection (compared with HIV passive detection, OR=1.896, 95% CI:1.083-3.319), recent HIV infection MSM (compared with long-term HIV infection MSM, OR=3.733, 95% CI:1.844-7.556). Conclusions:HIV positive rate among partners of HIV positive MSM was very high. The traceability efficiency, which was recent HIV infection MSM and HIV active detection, was high. It is suggested to strengthen the traceability and focus on the newly confirmed HIV-positive MSM in VCT clinics.