ObjectiveTo explore the feasibility of constructing a programmed death receptor-1（PD-1） molecular probe for non-invasive micro-positron emission tomography/computed tomography （Micro-PET/CT） imaging of PD-1 protein in mouse S180 sarcoma. MethodsA transgenic PD-1 C57 S180 sarcoma mouse model was established using the S180 sarcoma cell injection. Furthermore， ¹²⁴I-anti-PD-1 monoclonal antibody probe was synthesized. 18.5 MBq of the ¹²⁴I-anti-PD-1 probe was injected into the tail vein of transgenic PD-1 C57 mice. Subsequently， S180 sarcoma was imaged using Micro-PET/CT. ResultsStudy successfully established a transgenic PD-1 C57 S180 sarcoma mouse model. Immunohistochemical （IHC） results showed PD-1 protein expression in S180 sarcoma. Micro-PET/CT imaging successfully visualized the PD-1 protein receptor in S180 sarcoma at different time points （20， 48， 72， and 120 h） after probe injection. ConclusionThe ¹²⁴I-anti-PD-1 monoclonal antibody molecular probe successfully targets the PD-1 receptor in S180 sarcoma of transgenic PD-1 C57 mice， and presents clear Micro-PET/CT immunoassay results， thus it potentially enables the non-invasive screening of patients with PD-1 positive malignant tumors.

Objective:To establish three machine learning prediction models based on CT imaging characteristics of papillary thyroid carcinoma (PTC) , and use SHAP (shapley additive explanations) analysis to investigate the contribution of each CT image features in the best model.Methods:CT imaging features in 426 cases of 440 PTCs confirmed pathologically from Jan. 2016 to Jan. 2021 at the affiliated Hangzhou First People’s Hospital of Westlake University Medical School were retrospectively analyzed. compared with 467 cases of 528 nodular goiter (NG) , evaluating the distribution of four CT characteristics: cookie bite sign, enhanced range of narrowing/blur (ERNB) , microcalcifications, and irregular shape. We split the data into 8∶2 ratio for training and testing sets, then constructed three machine learning models using XGBoost, RF, and SVM. Based on AUC, accuracy, F1 score, and other metrics, we selected the best model. Lastly, we used SHAP values to assess each CT feature’s contribution and positive/negative effects on the model.Results:Among 440 PTC and 528 NG nodules, CT features like cookie bite sign, ERNB, microcalcifications, and irregular shape occurred in 326 and 30 ( χ 2=483.05, P<0.001) , 363 and 106 ( χ 2=374.45, P<0.001) , 158 and 53 ( χ 2=94.24, P<0.001) , and 354 and 52 ( χ 2=491.34, P<0.001) nodules, respectively. The machine learning models built using XGBoost, RF, and SVM had AUC, accuracy, and F1 scores ranging from 0.884~0.925, 0.867~0.873, and 0.844~0.854 respectively on the training set. On the test set, the scores ranged from 0.869~0.923, 0.845~0.871, and 0.803~0.845. Among them, the XGBoost model demonstrated the highest diagnostic performance on the test set. Among the four CT features, irregular shape had the highest absolute SHAP value, positively contributing to PTC diagnosis. Conclusion:XGBoost model showed the highest PTC diagnostic performance. Irregular shape had the greatest positive impact on PTC diagnosis.

Objective:To explore the influencing factors of the subjective well-being of elderly individuals and improve the accuracy of well-being predictions.Methods:A multi-stage stratified sampling method was conducted in Guangdong province and Guangxi Zhuang autonomous region from August 2019 to October 2020. The health status and subjective well-being of older adults were assessed using a self-administered multidimensional health questionnaire, while overall well-being was evaluated with a single-item 5-point scale. The statistical analysis was performed using R software (version 4.3.2), with analytical methods including χ2 tests, univariate analysis, quantile regression and random forest model. Results:A total of 2 620 participants were recruited, and 70.9% of whom reported feeling happy.The depression symptom score of the elderly was 3.00(1.00, 6.00), emotional status score was (28.26±4.14), activities of daily living (ADL) score was 69.00(52.00, 81.00), and the body mass index(BMI) was (22.68±3.81)kg/m 2.The quantile regression results indicated that marital status (married)(Q 10: β=0.049; Q 50: β=0.014; Q 90: β=0.005) and depressive symptoms (no depression, depressive tendency)(Q 10: β=1.000; Q 50: β=1.000; Q 90: β=0.025) had varying effects on older adults' subjective well-being across three quantiles (Q 10, Q 50, Q 90)(all P<0.05). In contrast, social activity (no social activity)(Q 10: β=-0.072; Q 50: β=-0.011; Q 90: β=-0.006), ADL (severe disability, moderate disability, mild disability)(Q 10: β=-0.103, Q 50: β=-0.006, Q 90: β=-0.048; Q 10: β=-0.063, Q 50: β=-0.012, Q 90: β=-0.005; Q 10: β=-0.078, Q 50: β=-0.016, Q 90: β=-0.009), and emotional status (poor emotion, fair emotion)(Q 10: β=-0.261, Q 50: β=-0.009, Q 90: β=-0.025; Q 10: β=-0.140, Q 50: β=-0.017, Q 90: β=-0.029) had a negative impact on elderly subjective well-being at the three quantile points(all P<0.05). Random forest results indicated that depressive symptoms, ADL, emotional status, household monthly income per capita, BMI, social activity, multimorbidity status, and marital status were the most important determinants of subjective well-being. Conclusion:Depressive symptoms and emotional status have a significant impact on the subjective well-being of older adults. Additionally, ADL, household income per capita, BMI, and social engagement also play important roles in influencing well-being, while the emotional support provided by marriage should not be overlooked.

Objective To develop and translate the Chinese listening self-efficacy questionnaire(C-LSEQ)and to test its reliability and validity.Methods A total of 172 subjects aged≥60 years with age-related hearing loss completed the C-LSEQ questionnaire via direct interviews.Pure tone hearing threshold test,Mandarin hearing in noise test,and the hearing handicap inventory for elderly-screening(HHIE-S)were evaluated.Twenty subjects were randomly selected from the original group to complete the C-LSEQ questionnaire in 2 weeks after the initial evaluation.Results ① Reliability:The Cronbach's a coefficients of the three sub-dimensions and the overall ques-tionnaire were all＞0.8,and the test-retest reliability coefficients of the three sub-dimensions and the overall ques-tionnaire were all＞0.9(P＜0.001).② Validity:The experts collectively evaluated the representativeness of the statements with good content validity.The convergent validity test showed that the composite reliability(CR)of the 2 sub-dimensions and the overall questionnaire were all＞0.7,and the average variance extracted(AVE)were all＞0.5.The CR value of the complex listening dimension was 0.655,and the AVE value was 0.937.The criterion validity test showed that the overall questionnaire and the three sub-dimensions of the C-LSEQ were significantly correlated with the pure-tone average,speech recognition thresholds in noise,and HHIE-S(P＜0.001).Conclusion The C-LSEQ exhibits stable structure,with good reliability and validity.It can be used to assess listen-ing self-efficacy in adults with hearing loss,especially in the elderly with age-related hearing loss.

JMJD1C (Jumonji Domain Containing 1C), a member of the lysine demethylase 3 (KDM3) family, is universally required for the survival of several types of acute myeloid leukemia (AML) cells with different genetic mutations, representing a therapeutic opportunity with broad application. Yet how JMJD1C regulates the leukemic programs of various AML cells is largely unexplored. Here we show that JMJD1C interacts with the master hematopoietic transcription factor RUNX1, which thereby recruits JMJD1C to the genome to facilitate a RUNX1-driven transcriptional program that supports leukemic cell survival. The underlying mechanism hinges on the long N-terminal disordered region of JMJD1C, which harbors two inseparable abilities: condensate formation and direct interaction with RUNX1. This dual capability of JMJD1C may influence enhancer-promoter contacts crucial for the expression of key leukemic genes regulated by RUNX1. Our findings demonstrate a previously unappreciated role for the non-catalytic function of JMJD1C in transcriptional regulation, underlying a mechanism shared by different types of leukemias.
Core Binding Factor Alpha 2 Subunit/genetics* ; Humans ; Leukemia, Myeloid, Acute/pathology* ; Jumonji Domain-Containing Histone Demethylases/chemistry* ; Gene Expression Regulation, Leukemic ; Oxidoreductases, N-Demethylating/genetics* ; Cell Line, Tumor

Objective:To establish three machine learning prediction models based on CT imaging characteristics of papillary thyroid carcinoma (PTC) , and use SHAP (shapley additive explanations) analysis to investigate the contribution of each CT image features in the best model.Methods:CT imaging features in 426 cases of 440 PTCs confirmed pathologically from Jan. 2016 to Jan. 2021 at the affiliated Hangzhou First People’s Hospital of Westlake University Medical School were retrospectively analyzed. compared with 467 cases of 528 nodular goiter (NG) , evaluating the distribution of four CT characteristics: cookie bite sign, enhanced range of narrowing/blur (ERNB) , microcalcifications, and irregular shape. We split the data into 8∶2 ratio for training and testing sets, then constructed three machine learning models using XGBoost, RF, and SVM. Based on AUC, accuracy, F1 score, and other metrics, we selected the best model. Lastly, we used SHAP values to assess each CT feature’s contribution and positive/negative effects on the model.Results:Among 440 PTC and 528 NG nodules, CT features like cookie bite sign, ERNB, microcalcifications, and irregular shape occurred in 326 and 30 ( χ 2=483.05, P<0.001) , 363 and 106 ( χ 2=374.45, P<0.001) , 158 and 53 ( χ 2=94.24, P<0.001) , and 354 and 52 ( χ 2=491.34, P<0.001) nodules, respectively. The machine learning models built using XGBoost, RF, and SVM had AUC, accuracy, and F1 scores ranging from 0.884~0.925, 0.867~0.873, and 0.844~0.854 respectively on the training set. On the test set, the scores ranged from 0.869~0.923, 0.845~0.871, and 0.803~0.845. Among them, the XGBoost model demonstrated the highest diagnostic performance on the test set. Among the four CT features, irregular shape had the highest absolute SHAP value, positively contributing to PTC diagnosis. Conclusion:XGBoost model showed the highest PTC diagnostic performance. Irregular shape had the greatest positive impact on PTC diagnosis.

Objective:To explore the influencing factors of the subjective well-being of elderly individuals and improve the accuracy of well-being predictions.Methods:A multi-stage stratified sampling method was conducted in Guangdong province and Guangxi Zhuang autonomous region from August 2019 to October 2020. The health status and subjective well-being of older adults were assessed using a self-administered multidimensional health questionnaire, while overall well-being was evaluated with a single-item 5-point scale. The statistical analysis was performed using R software (version 4.3.2), with analytical methods including χ2 tests, univariate analysis, quantile regression and random forest model. Results:A total of 2 620 participants were recruited, and 70.9% of whom reported feeling happy.The depression symptom score of the elderly was 3.00(1.00, 6.00), emotional status score was (28.26±4.14), activities of daily living (ADL) score was 69.00(52.00, 81.00), and the body mass index(BMI) was (22.68±3.81)kg/m 2.The quantile regression results indicated that marital status (married)(Q 10: β=0.049; Q 50: β=0.014; Q 90: β=0.005) and depressive symptoms (no depression, depressive tendency)(Q 10: β=1.000; Q 50: β=1.000; Q 90: β=0.025) had varying effects on older adults' subjective well-being across three quantiles (Q 10, Q 50, Q 90)(all P<0.05). In contrast, social activity (no social activity)(Q 10: β=-0.072; Q 50: β=-0.011; Q 90: β=-0.006), ADL (severe disability, moderate disability, mild disability)(Q 10: β=-0.103, Q 50: β=-0.006, Q 90: β=-0.048; Q 10: β=-0.063, Q 50: β=-0.012, Q 90: β=-0.005; Q 10: β=-0.078, Q 50: β=-0.016, Q 90: β=-0.009), and emotional status (poor emotion, fair emotion)(Q 10: β=-0.261, Q 50: β=-0.009, Q 90: β=-0.025; Q 10: β=-0.140, Q 50: β=-0.017, Q 90: β=-0.029) had a negative impact on elderly subjective well-being at the three quantile points(all P<0.05). Random forest results indicated that depressive symptoms, ADL, emotional status, household monthly income per capita, BMI, social activity, multimorbidity status, and marital status were the most important determinants of subjective well-being. Conclusion:Depressive symptoms and emotional status have a significant impact on the subjective well-being of older adults. Additionally, ADL, household income per capita, BMI, and social engagement also play important roles in influencing well-being, while the emotional support provided by marriage should not be overlooked.

Objective To develop and translate the Chinese listening self-efficacy questionnaire(C-LSEQ)and to test its reliability and validity.Methods A total of 172 subjects aged≥60 years with age-related hearing loss completed the C-LSEQ questionnaire via direct interviews.Pure tone hearing threshold test,Mandarin hearing in noise test,and the hearing handicap inventory for elderly-screening(HHIE-S)were evaluated.Twenty subjects were randomly selected from the original group to complete the C-LSEQ questionnaire in 2 weeks after the initial evaluation.Results ① Reliability:The Cronbach's a coefficients of the three sub-dimensions and the overall ques-tionnaire were all＞0.8,and the test-retest reliability coefficients of the three sub-dimensions and the overall ques-tionnaire were all＞0.9(P＜0.001).② Validity:The experts collectively evaluated the representativeness of the statements with good content validity.The convergent validity test showed that the composite reliability(CR)of the 2 sub-dimensions and the overall questionnaire were all＞0.7,and the average variance extracted(AVE)were all＞0.5.The CR value of the complex listening dimension was 0.655,and the AVE value was 0.937.The criterion validity test showed that the overall questionnaire and the three sub-dimensions of the C-LSEQ were significantly correlated with the pure-tone average,speech recognition thresholds in noise,and HHIE-S(P＜0.001).Conclusion The C-LSEQ exhibits stable structure,with good reliability and validity.It can be used to assess listen-ing self-efficacy in adults with hearing loss,especially in the elderly with age-related hearing loss.

OBJECTIVE:The quality of systematic reviews/meta-analyses directly affects the reliability of clinical decision-making basis.Currently,there is no literature quality research on the systematic reviews/meta-analyses of platelet rich plasma versus hyaluronic acid in the treatment of knee osteoarthritis both domestically and internationally.This article will comprehensively evaluate the methodological quality,reporting quality,and evidence quality of the systematic reviews/meta-analyses of platelet rich plasma versus hyaluronic acid in the treatment of knee osteoarthritis.METHODS:Computer searches were conducted on CNKI,WanFang Data,VIP,CBM,PubMed,Embase,and The Cochrane Library.From the establishment of the database until January 24,2024,all systematic reviews/meta-analyses treated with platelet rich plasma versus hyaluronic acid for knee osteoarthritis were collected.Two evaluators independently conducted literature screening and data extraction,and used the AMSTAR 2,PRISMA 2020,and GRADE systems to evaluate and summarize the methodological,reporting,and evidence quality of the included systematic reviews/meta-analyses.RESULTS:A total of 18 qualified systematic reviews/meta-analyses were included,and the results showed that the efficacy and safety of platelet rich plasma might be better than that of hyaluronic acid.The methodological quality of all 18 studies was extremely low;4 reports had poor quality and relatively serious information defects,while 14 reports had moderate quality and some information defects.Among the 275 outcome measures of 16 systematic reviews/meta-analyses,there were 9 medium quality evidence,90 low-quality evidence,and 176 extremely low-quality evidence,with no high-quality evidence.CONCLUSION:At present,the quality of systematic reviews/meta-analyses literature on the treatment of knee osteoarthritis with platelet rich plasma versus hyaluronic acid is relatively low.In the future,the authors of the systematic reviews need to strictly follow the entries of quality evaluation tools such as AMSTAR 2 and PRISMA 2020 in terms of plan registration,research type explanation,retrieval strategy,exclusion list,research site and funding source,bias risk analysis,publication bias evaluation,and public information acquisition,and conduct evidence quality evaluation on the combined results of the systematic reviews/meta-analyses to provide more reliable and rigorous evidence-based basis for clinical practice.

Objective:To explore the effect of preoperative intensive functional training on the balance and functional recovery of patients with knee osteoarthritis (KOA) receiving total knee arthroplasty (TKA).Methods:Sixty KOA patients were randomly divided into an outpatient group, a home-based group and a control group, each of 20. Before their TKAs, both the outpatient and home-based groups underwent intensive functional training for 4 weeks, while the control group did nothing special. After the TKA, all received 4 weeks of standardized postoperative rehabilitation training. Before any training, after the 4 weeks of preoperative training and 4 weeks after the TKAs, all of the subjects performed the timed up and go test (TUGT), and their joint range of motion (ROM) was recorded. They also completed the 30-second chair stand strength test (30sCST), and the 6-minute walk exercise endurance test (6MWT). KOA osteoarthritis indices (WOMACs) were also recorded.Results:After the 4 weeks of preoperative training, significant differences were observed in the trajectory length, elliptical area and TUGT times of both the outpatient and home-based groups. Four weeks after the TKAs, significant differences were observed in all of the measurements in all three groups, but the results of the outpatient and home-based groups were significantly better than those of the control group, on average. After the 4 weeks of postoperative training, there were significant differences between the outpatient and home-based groups in terms of the average knee flexion angle, knee extension angle, 30sCST and 6MWT results. There were significant differences among the 3 groups in all of the measurements 4 weeks after the TKAs, with those of the two training groups showing significantly better results than the control group. The pain scores, stiffness scores, function scores and total WOMAC scores had improved significantly compared with the control group, but the average function and total WOMAC scores of the outpatient group (24.25±2.38) and (35.41±3.02) were then significantly superior to the home-based group′s averages.Conclusions:Intensive preoperative functional training conducted in an outpatient clinic or at home can significantly improve the balance, lower limb strength, exercise endurance and symptoms of KOA patients after TKA.