Background Arsenic is an environmentally harmful substance that causes hepatic insulin resistance and liver damage, increasing the risk of type 2 diabetes mellitus. Objective To explore whether the insulin-like growth factor 2 mRNA binding protein 2 (IGF2BP2) is involved in insulin resistance in HepG2 cells after arsenic exposure through the peroxisome-proliferator-activated receptor γ (PPAR-γ) / glucose transporter 4 (GLUT4) pathway. Methods Cell viability was determined using cell counting kit 8 (CCK8) and an appropriate NaAsO₂ infection dose was determined. A cellular arsenic exposure model of HepG2 cells was established by four concentrations of NaAsO₂ solution for 24 h (the experiment was divided into four groups: 0, 2, 4, and 8 μmol·L⁻¹); HepG2 cells were firstly treated with pcDNA3.1-IGF2BP2 and pcDNA3.1-NC respectively for 6 h, then with 8 μmol·L⁻¹ NaAsO₂ for 24 h to establish a IGF2BP2 overexpression cell model (the experiment was divided into 4 groups: control, NaAsO₂, NaAsO₂+pcDNA3.1-IGF2BP2, and NaAsO₂+pcDNA3.1-NC); finally the cells were subject to 100 nmol·L⁻¹ insulin stimulation for 30 min. Glycogen and glucose in HepG2 cells were determined by glycogen and glucose assay kits; mRNA expression levels of IGF2BP2 were measured by quantitative real-time PCR; protein expression levels of IGF2BP2, PPAR-γ, and GLUT4 in HepG2 were detected by Western blot (WB); and the binding of IGF2BP2 to PPAR-γ and PPAR-γ to GLUT4 was verified by co-immunoprecipitation (CO-IP) experiment. Results The results of CCK8 experiment showed a dose-effect relationship between NaAsO₂ concentration and cell viability. When the concentration of NaAsO₂ was ≥4 μmol·L⁻¹ , the cell viabilities were lower than that of the control group (P <0.05). With the increasing dose of NaAsO₂ infection, reduced glucose consumption and glycogen levels in HepG2 cells were found in the 2, 4, and 8 μmol·L⁻¹ NaAsO₂ treatment groups compared to the control group (P <0.05). The difference between the mRNA expression level of IGF2BP2 in the HepG2 cells treated with 4 or 8 μmol L⁻¹ NaAsO₂ and the control group was significant (P <0.05). In the IGF2BP2 overexpression cell model, compared with the control group, glucose consumption and glycogen levels were lowered in the NaAsO₂ group (P <0.05), the mRNA expression level of IGF2BP2 and the protein expression levels of IGF2BP2, PPAR-γ, and GLUT4 in the cell membrane were all decreased (P <0.05). Compared with the NaAsO₂ group, the glucose consumption and glycogen levels were increased in the NaAsO₂+pcDNA3.1-IGF2BP2 group (P <0.05), and the mRNA expression level of IGF2BP2 and the protein expression levels of IGF2BP2, PPAR-γ, and GLUT4 in the cell membrane were all increased (P <0.05). The results of CO-IP experiments showed that IGF2BP2 interacted with PPAR-γ as well as PPAR-γ with GLUT4 protein. Conclusion IGF2BP2 is involved in arsenic exposure-induced insulin resistance in HepG2 cells by acting on the PPAR-γ/GLUT4 pathway.

[Objective] To analyse the distribution of antigen phenotypes in the Rh, MNS and Kidd blood group systems of Han and Tujia blood donors in Chongqing, and to provide data support for the establishment of an expanded blood group antigen phenotype database and the development of expanded blood group coordinated transfusion in blood donors. [Methods] The antigens of Rh, MNS and Kidd blood group systems in Han and Tujia blood donors in Chongqing were detected by test-tube method, and the Hardy-Weinborg anastomosis of the three blood group systems was calculated. Pearson's chi-square test and Fisher's exact probability method were used to compare the differences in phenotypic distribution frequencies among different regions and ethnic groups. [Results] Han and Tujia blood donors accounted for the highest proportion of CCee in the antigenic phenotype of the Rh blood group system, followed by CcEe, and then Ccee and ccEE. Tujia blood donors accounted for 52.02% of CCee, which was higher than that of Han blood donors (47.24%), while Han blood donors accounted for 32.20% of CcEe, which was higher than that of Tujia blood donors (28.94%). In the antigenic phenotype of the MNS blood group system, the blood donors of Han nationality and Tujia were MN>MM>NN,. The antigen phenotype distribution frequency of the Kidd blood group system was highest for Jk(a+b+) among both Han and Tujia blood donors, and the blood donors of Han nationality were Jk(a+b+)>Jk(a+b+), while those of Tujia were Jk(a-b+)>Jk(a+b-). The antigens of the three blood groups of Han and Tujia blood donors were consistent with the Hardy-Weinberg balance(P>0.05). There was no statistically significant difference in the frequency of antigen phenotypes of the three blood group systems between Han and Tujia blood donors(P>0.05). There were statistically significant differences in the phenotypic distribution frequency of Rh antigens between Chongqing and Xi'an, Zhejiang, Shantou, Foshan, Nanning and Yangzhou(P<0.05), but not with Guang'an and Shenzhen(P>0.05). There were statistically significant differences in the phenotypic distribution frequency of Rh antigens between Han, Tujia, Zang, Mongolian, Korean and Hani ethnic groups in Chongqing(P<0.05). There were statistically significant differences in the phenotypic distribution frequency of MNS antigens between Han blood donors in Chongqing and Urumqi, Hainan and Yuncheng, but not with Xi'an and Wenzhou. There was a statistically significant difference in the phenotypic distribution frequency of MNS antigen between Tujia blood donors in Chongqing and Urumqi and Hainan(P<0.05), but there was no significant difference in the phenotypic distribution frequency of MNS antigen between Tujia blood donors in Chongqing, Urumqi and Hainan(P>0.05). There was a statistically significant difference in the phenotypic distribution frequency of Kidd antigens between blood donors in Chongqing and Harbin(P<0.05), but not in Huizhou, Wenzhou and Yichang(P>0.05). [Conclusion] The population in Chongqing has multi-ethnic characteristics, and the antigenic phenotypes of Rh, MNS and Kidd blood group systems exhibit diversity and regional differences. Establishing an expanded blood bank can provide more options for precision blood transfusion.

[Objective] To assess the data characteristics of quality monitoring indicators for red blood cell (RBC) preparations, so as to provide reference for continuous improvement of blood quality. [Methods] The quality inspection data of 6 types of RBC preparations from Chongqing blood center from 2019 to 2023 were summarized. For the same indicators, the numerical range of quality indicators was monitored by comparing different types of preparations with the national standard GB18469. The loss and/or damage to RBCs caused by different preparation process were compared, and the impact of different preparation processes on the quality of RBCs was discussed. [Results] The appearance and sterility test compliance rates of the six types of RBC preparations were both 100%, while the compliance rates of other items were all ≥75%. The compliance rate of hematocrit for suspended RBCs was the lowest at 75%, with a median of 0.52, which was close to the lower limit of GB18469, while the medians of hematocrit for the other types were all at the midline level of GB18469. The Hb content for different types of RBCs was significantly higher than the corresponding requirements of GB18469 (P<0.05). The hemolysis rate at the end of storage for different types of RBCs was significantly lower than the requirements of GB18469 (P<0.05). The 1 U leukoreduction process resulted in a hemoglobin content loss of about 5% and had a significant impact on the hemolysis rate at the end of storage (P<0.05). The washing process resulted in a hemoglobin content loss of <3% and had no significant impact on the hemolysis rate at the end of storage (P>0.05). The concentration process resulted in a hemoglobin content loss of <3% and had a significant impact on the hemolysis rate at the end of storage (P<0.05). [Conclusion] The impact of different processes on RBC preparations is within a controllable range and meets the requirements of GB18469. The quality monitoring data can provide a reference for clinical blood selection, effectiveness evaluation and revision of related standards.

ObjectiveTo establish and validate a new prediction model for the risk of death in patients with acute-on-chronic liver failure （ACLF） based on sarcopenia and other clinical indicators， and to improve the accuracy of prognostic assessment for ACLF patients. MethodsA total of 380 patients with ACLF who were admitted to Beijing YouAn Hospital， Capital Medical University， from January 2019 to January 2022 were enrolled， and they were divided into training group with 228 patients and testing group with 152 patients in a ratio of 6∶4 using the stratified random sampling method. For the training group， CT images were used to measure the cross-sectional area of the skeletal muscle at the third lumbar vertebra （L3）， and L3 skeletal muscle index （L3-SMI） was calculated. Sarcopenia was diagnosed based on the previously established L3-SMI reference values for healthy adults in northern China. Univariate and multivariable Cox regression analyses were used to establish a sarcopenia-ACLF model which integrated sarcopenia and clinical risk factors， and a nomogram was developed for presentation. The area under the ROC curve （AUC） was used to assess the predictive performance of the model， the calibration curve was used to assess the degree of calibration， and a decision curve analysis was used to investigate the clinical application value of the model. The independent-samples t test or the Mann-Whitney U test was used for comparison of continuous data between two groups， and the chi-square test was used for comparison of categorical data between two groups. The Kaplan-Meier method was used to plot survival curves， and the Log-rank test was used for comparison between groups. The DeLong test was used for comparison of AUC between different models. ResultsThe multivariate Cox regression analysis showed that sarcopenia （hazard ratio ［HR］=1.962， 95% confidence interval ［CI］： 1.185‍ ‍—‍ ‍3.250， P=0.009）， total bilirubin （HR=1.003， 95%CI： 1.002‍ ‍—‍ ‍1.005， P<0.001）， international normalized ratio （HR=1.997， 95%CI： 1.674‍ ‍—‍ ‍2.382， P<0.001）， and lactic acid （HR=1.382， 95%CI： 1.170‍ ‍—‍ ‍1.632， P<0.001） were included in the sarcopenia-ACLF model. In the training cohort， the sarcopenia-ACLF model had a larger AUC than MELD-Na score in predicting 90-day mortality in patients with ACLF （0.80 vs 0.73， Z=1.97， P=0.049）. In the test cohort， the sarcopenia-ACLF model had a significantly larger AUC than MELD score （0.79 vs 0.69， Z=2.70， P=0.007） and MELD-Na score （0.79 vs 0.68， Z=2.92， P=0.004）. The calibration curve showed that the model had good calibration ability， with a relatively good consistency between the predicted risk of mortality and the observed results. The DCA results showed that within a reasonable range of threshold probabilities， the sarcopenia-ACLF model showed a greater net benefit than MELD and MELD-Na scores in both the training cohort and the test cohort. ConclusionThe sarcopenia-ACLF model developed in this study provides a more accurate tool for predicting the risk of 90-day mortality in ACLF patients， which provides support for clinical decision-making and helps to optimize treatment strategies.

OBJECTIVE: To review the research progress on the lower limb biomechanical characteristics of patients with discoid lateral meniscus (DLM) injury after surgery. METHODS: By searching relevant domestic and international research literature on DLM, the postoperative characteristics of knee joint movement biomechanics, tibiofemoral joint stress distribution, lower extremity force line, and patellofemoral joint changes in patients with DLM injury were summarized. RESULTS: Surgical treatment can lead to varying degrees of changes in the lower limb biomechanical characteristics of patients with DLM injury. Specifically, the kinematic biomechanics of the knee joint can significantly improve, but there are still problems such as extension deficits in the affected knee joint. The peak stress of the tibiofemoral joint decreases with the increase of the residual meniscus volume, and the degree of change is closely related to the residual meniscus volume. Preserving a larger volume of the meniscus, especially the anterior horn volume, helps to reduce stress concentration. The lower extremity force line will deviate outward after surgery, and the more meniscus is removed during surgery, the greater the change in the lower extremity force line after surgery. There are conditions such as cartilage degeneration, position and angle changes in the patellofemoral joint after surgery. CONCLUSION The changes in the lower limb biomechanical characteristics after DLM injury are closely related to the choice of surgical methods and rehabilitation programs. However, the mechanisms of biomechanical changes in multiple lower limb joints and individual differences still need to be further studied and clarified.
Humans ; Biomechanical Phenomena ; Tibial Meniscus Injuries/physiopathology* ; Menisci, Tibial/physiopathology* ; Knee Joint/surgery* ; Lower Extremity/physiopathology* ; Patellofemoral Joint/physiopathology* ; Range of Motion, Articular ; Knee Injuries/physiopathology*

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 application of CT image omics model in the differential diagnosis of ganglioneuroblastoma (GNB) and neuroblastoma (NB) in childhood.Methods:A retrospective case series study was performed. The clinical and imaging data of 23 NB and 23 GNB pediatric patients confirmed by surgery and pathology in Shanxi Children's Hospital from January 2013 to December 2013 were collected. The original CT images in the normal scan phase, arterial phase and venous phase of all the children before operation were extracted from the PACS system in DICOM format. ITK-SNAP (ver.3.4.0) software was applied to manually outline and extract the image omics features layer by layer of the lesions in the normal scan phase, arterial phase and venous phase of each patient before surgery. The minimum absolute contraction selection operator and stepwise multi-factor logistic regression method were used to screen out effective features in different scan phases. The corresponding phase image omics model was established by using logistic model. The diagnostic efficiency of each phase of the image omics model was evaluated by using the receiver operating characteristic curve, calibration curve and decision curve.Results:A total of 1 361 image omics features were extracted from the original CT images in the 3 phases. The model was established by using multi-factor logistic regression to extract 4 features in the normal scan phase, 2 features in the arterial phase, 3 features in the venous phase and 7 features in the combination of the 3 phases. The area under the curve (AUC) of the model in the normal scan phase was 0.940, the accuracy was 89.1%, the sensitivity was 91.3% and the specificity was 87.0%; the AUC of the model in the arterial phase was 0.923, the accuracy was 84.8%, the sensitivity was 82.6%, and the specificity was 87.0%; the AUC of the model in the venous phase was 0.949, the accuracy was 87.8%, the sensitivity was 83.3%, and the specificity was 91.3%; the AUC of 3 phases combined model was 0.964, the accuracy was 95.1%, the sensitivity was 94.7%, and the specificity was 95.5%. The results showed that the single-phase image omics model was effective in the differential diagnosis of NB and GNB in childhood; the AUC, accuracy, sensitivity and specificity of the 3 phases combined imaging model were higher than those of the single-phase imaging model. The calibration curve and decision curve showed that the probability of differential diagnosis of NB and GNB in childhood by the 3 phases combined model had a high consistency with the observed value, and a good net benefit could be achieved.Conclusions:CT-based image omics model has a high clinical value in the differential diagnosis of NB and GNB in childhood.

Objective To analyze the risk factors of heart failure in patients with coronary heart disease(CHD),and to construct and verify a nomogram prediction model for the risk of heart failure in patients with CHD.Methods The clinical data of 453 patients with CHD who were hospitalized in the Second Affiliated Hospital of Shenyang Medical College from January to December 2022 were retrospectively analyzed,including 278 patients with CHD combined with heart failure and 175 patients without heart failure.The patients were divided into training group(318 cases)and validation group(135 cases)according to the ratio of 7:3.R software was applied to perform LASSO regression to screen the risk factors,and Logistic regression to establish a prediction model and construct a nomogram.The calibration curve and receiver operating characteristic(ROC)curve were used to evaluate the calibration and discrimination of the model.Results LASSO regression analysis ultimately screened five risk factors from 22 variables,and Logistic regression results showed that age,smoking,history of myocardial infarction,New York Heart Association(NYHA)cardiac function class Ⅳ,and left ventricular ejection fraction(LVEF)were all independent risk factors for heart failure in CHD patients(P＜0.05).The model formula was Z=-2.927+0.045 × age+0.886 × smoking+0.808 × history of myocardial infarction-2.829 × NYHA cardiac function class Ⅳ+0.037×LVFF.Internal validation of the model showed that area under the curve was 0.727(95％CI:0.588-0.752),the sensitivity was 40.4％,the specificity was 84.3％,and the Youden index was 0.247.According to the calibration curve,the predicted value of the calibration curve was highly consistent with the actual value,and the Brier score was 0.106.Conclusion The risk prediction model for heart failure in patients with CHD based on LASSO regression has good discrimination and prediction efficiency,which can be used as an evaluation tool for medical staff to predict the risk of patients.

Objective:To investigate the vaccination status, characteristics and prognosis of patients suffering from a combination of COVID-19 and chronic lymphocytic anemia (CLL) in China.Methods:Clinical data of 328 patients with chronic lymphocytic leukemia (CLL) who were first diagnosed with COVID-19 and treated in the Department of Hematology of Jiangsu Provincial People’s Hospital between November 2022 and February 2023 were retrospectively analyzed. Univariate and multivariate analysis of data of patients with severe/critical COVID-19 were conducted by applying the binary logistic regression model.Results:The median age of the CLL patients was 60 (24-87) years. 23.5% (77/328) of these patients suffered from severe/critical COVID-19 infection. Univariate analysis of the data demonstrated that a combination of factors including age >67 years ( OR=2.15, 95% CI 1.24- 3.73, P=0.006), diabetes ( OR=2.09, 95% CI 1.05-4.20, P=0.037), chronic hepatitis B ( OR=2.91, 95% CI 1.30-6.51, P=0.010), CLL progressive ( OR=3.79, 95% CI 1.57-9.15, P=0.003) and CD20 antibody-based treatments within three months prior to the COVID-19 infection ( OR=2.79, 95% CI 1.35-5.77, P=0.006) were the risk factors for severe/critical COVID-19. According to the multivariate analysis, CLL progressive ( OR=2.98, 95% CI 1.10-8.10, P=0.033) was an independent risk factor for severe/critical COVID-19 and administration of the BTK (Bruton tyrosine kinase) inhibitor monotherapy might exert a protective effect and influence a positive outcome of the COVID-19 infection ( OR=0.38, 95% CI 0.16-0.90, P=0.028). Among the 242 patients who were followed up until October 2023, 9.1% (22/242) had multiple subsequent COVID-19 infections (≥3), and 2.1% (5/242) had persistent COVID-19 infections (patients with persistent positive test for the SARS-CoV-2 antigen testing until missing follow-up for any reason). The peak value of the anti-SARS-CoV-2-IgG titres was observed between three and four months post symptom onset (median: 3.511 S/CO vs 1.047 S/CO, P<0.05). The levels of immunoglobulin A gradually decreased following infection with COVID-19, and its trough levels were attained between two to four weeks post infection (median: 0.30 g/L vs 0.74 g/L, P<0.05). According to this study the mortality of patients suffering from a combination of COVID-19 infection and CLL was 2.7% (9/328), and the main reason for their death was respiratory failure and heart failure. Conclusions:A low rate of COVID-19 vaccination and a high rate of severe/critical COVID-19 infection was observed in the CLL patients. CLL progressive was associated with severe/critical COVID-19. Anti-CD20-based treatments received within the past three months might be a risk factor for exacerbation of COVID-19 infection, whereas a monotherapy with BTK inhibitors exert a protective effect and improve outcome of COVID-19 infection.

Objective:To systematically evaluate the qualitative researches on cardiac telerehabilitation experience of patients with cardiovascular disease (CVD), so as to provide reference for clinical development and improvement of cardiac telerehabilitation services.Methods:Qualitative studies on cardiac telerehabilitation experience of CVD patients in PubMed, Web of Science, Embase, CINAHL, Cochrane Library, Scopus, China National Knowledge Infrastructure, China Biology Medicine disc, Wanfang Database and VIP were searched by computer. The search period was from establishment of the databases to August 2023. The quality of the literature was evaluated according to the quality evaluation criteria of the Evidence-Based Health Care Center of the Joanna Briggs Institute in Australia, and the results were integrated by aggregative integration method.Results:A total of 13 articles were included, 52 research results were extracted and classified into 11 categories. Four integrated results were formed, including the benefits, promoting factors, obstacle, expectations and suggestions for cardiac telerehabilitation experience in CVD patients.Conclusions:CVD patients benefit significantly from participating in cardiac telerehabilitation. In the future, it is supposed to pay more attention to the factors that affect patients' participation in cardiac telerehabilitation, actively develop domestic cardiac telerehabilitation tools and optimize the cardiac telerehabilitation model according to the needs and suggestions of patients.