1.Five-year outcomes of metabolic surgery in Chinese subjects with type 2 diabetes.
Yuqian BAO ; Hui LIANG ; Pin ZHANG ; Cunchuan WANG ; Tao JIANG ; Nengwei ZHANG ; Jiangfan ZHU ; Haoyong YU ; Junfeng HAN ; Yinfang TU ; Shibo LIN ; Hongwei ZHANG ; Wah YANG ; Jingge YANG ; Shu CHEN ; Qing FAN ; Yingzhang MA ; Chiye MA ; Jason R WAGGONER ; Allison L TOKARSKI ; Linda LIN ; Natalie C EDWARDS ; Tengfei YANG ; Rongrong ZHANG ; Weiping JIA
Chinese Medical Journal 2025;138(4):493-495
2.Engineered plant extracellular vesicles: Emerging nanoplatforms for combinational cancer immunotherapy.
Fucai CHEN ; Rongrong BAO ; Wanyi YANG ; Yijing LU ; Jiaxin GUO ; Wenjing CHEN ; Jiale LI ; Kuanhan FENG ; Wen ZHANG ; Liuqing DI ; Liang FENG ; Ruoning WANG
Acta Pharmaceutica Sinica B 2025;15(11):5663-5701
Plant-derived extracellular vesicles (PDEVs), describe a group of nanoparticles released by plants. These particles are characterized by a lipid bilayer structure containing various proteins, lipids, nucleic acids, and unique metabolites. Although the study on PDEVs is relatively new, having only been around for ten years, they have shown promising development prospects in both basic research and clinical transformation areas. Evidence suggests that PDEVs have excellent application prospects in regulating inflammation and treating tumors. Their distinctive, vesicle-mimicking architecture and stellar biocompatibility render them prime candidates for ferrying various anti-cancer agents, including RNA, proteins, and conventional chemotherapy drugs. Increasingly, studies have shown that PDEVs can be engineered as an innovative platform for combination cancer immunotherapy. Consequently, this paper provides an extensive summary of current developments in engineering methods and strategies for PDEVs in cancer treatment and combined cancer immune therapeutics. The essential characteristics of PDEVs, including the biogenesis process and components, as well as their anti-tumor activity and mechanism, are summarized. Finally, the in vivo safety of PDEVs as delivery vectors and the challenges of scale-up production and clinical transformation are discussed.
3.Effects of cognition-related lifestyles on early cognitive decline in community older adults in China
Haowei LI ; Shige QI ; Shengshu WANG ; Shanshan YANG ; Shimin CHEN ; Rongrong LI ; Xuehang LI ; Shaohua LIU ; Junhan YANG ; Huaihao LI ; Yinghui BAO ; Yueting SHI ; Zhihui WANG ; Yao HE ; Miao LIU
Chinese Journal of Epidemiology 2024;45(1):63-70
Objective:To investigate the distribution characteristics of cognition-related lifestyles of elderly in communities and explore the integrated effects on early cognitive decline.Methods:The participants were from the Project of Prevention and Intervention of Neurodegenerative Disease for Elderly in China. A total of 2 537 older adults aged ≥60 years without dementia in the 2015 baseline survey and the 2017 follow-up survey were included. The information about their cognition-related lifestyles, including physical exercise, social interaction, leisure activity, sleep quality, smoking status, and alcohol consumption, were collected through questionnaire survey and the integrated scores were calculated. Multivariate logistic regression analysis was used to assess the association between integrated cognition-related lifestyle score and early cognitive decline.Results:In the 2 537 older adults surveyed, 28.7% had score of 5-6, while only 4.8% had high scores for all 6 healthy lifestyles. Significant differences in healthy lifestyle factor distributions were observed between men and women. Multivariate logistic regression model showed that the risks for early cognitive decline in the older adults who had lifestyle score of 4 and 5-6 were lower than that in those with lifestyle score of 0-3 ( OR=0.683, 95% CI: 0.457-1.019; OR=0.623, 95% CI: 0.398-0.976; trend P=0.030). In the women, the risks for early cognitive decline was lower in groups with score of 4 and 5-6 than in group with score of 0-3 ( OR=0.491, 95% CI: 0.297-0.812; OR=0.556, 95% CI: 0.332-0.929; trend P=0.024). Conclusion:Cognition-related healthy lifestyles are associated with significantly lower risk for early cognitive decline in the elderly, especially in women.
4.Effect comparison between improved 18F-PSMA-1007 PET-CT score and mpMRI PI-RADS score for diagnosis of prostate cancer
Lanlan BAO ; Ming ZHAO ; Rongrong TIAN ; Xi ZHANG ; Tong ZHAO ; Fengqin SHI
Cancer Research and Clinic 2024;36(9):670-677
Objective:To explore the diagnostic value of improved 18F-prostate specific membrane antigen (PSMA)-1007 PET-CT score (referred to as PSMA score) and multi parameter magnetic resonance imaging (mpMRI) prostate imaging reporting and data system (PI-RADS) score (referred to as PI-RADS score) for primary prostate cancer (PCa). Methods:A retrospective case series study was conducted. The imaging and clinical data of 134 suspected PCa patients underwent 18F-PSMA-1007 PET-CT and mpMRI examinations at Shanxi Province Cancer Hospital from July 2018 to May 2023 were collected. Pathological diagnosis showed 92 cases of PCa and 42 cases of benign prostatic lesions. The clinical and imaging parameters, as well as the distribution of patients with two scores, were compared between the two groups. The blind diagnosis of benign and malignant lesions was made based on the improved PSMA score (dividing 1 point into 1a and 1b points, 1b, 2 and 3 points were diagnosed as PCa), PI-RADS score (3, 4 and 5 points were diagnosed as PCa) and the combination of the two (diagnosed as PCa when either PSMA score ≥ 1b point or PI-RADS score ≥ 4 points was met). The indicators of the diagnostic efficiency of PSMA score, PI-RADS score and the combination of the two for PCa were calculated. Using pathological results as the gold standard, the receiver operating characteristic (ROC) curve of PSMA score, PI-RADS score and the combination of the two for diagnosing PCa was drawn, and the diagnostic efficiency of the 3 methods was analyzed. Results:The age, serum prostate-specific antigen, and maximum standard uptake value of PET-CT in the PCa group were higher than those in the benign prostatic lesion group, and the differences were statistically significant (all P < 0.05). The sensitivity, specificity, accuracy, false negative rate, false positive rate, positive predictive value, and negative predictive value of PSMA score for diagnosing PCa were 91.30% (84/92), 80.95% (34/42), 88.06% (118/134), 8.70% (8/92), 19.05% (8/42), 91.30% (84/92), and 80.95% (34/42), respectively; those of PI-RADS score were 93.48% (86/92), 61.90% (26/42), 83.58% (112/134), 61.90% (26/42), 38.10% (16/42), 84.31% (86/102), and 81.25% (26/32), respectively; those of the combination of the two were 97.83% (90/92), 88.10% (37/42), 94.78% (127/134), 2.17% (2/92), 11.90% (5/42), 94.74% (90/95), and 94.87% (37/39), respectively. The differences in specificity, accuracy, false negative rate, and false positive rate among the 3 methods were statistically significant (all P < 0.05). ROC curve analysis showed that the area under the curve of PSMA score, PI-RADS score and the combination of the two for diagnosing PCa were 0.930 (95% CI: 0.872-0.967), 0.935 (95% CI: 0.826-0.939) and 0.959 (95% CI: 0.910-0.986), respectively, and the differences between each two methods were statistically significant (all P < 0.05); the sensitivity of PSMA score, PI-RADS score and the combination of the two was 90.11%, 89.13% and 98.09%, and the specificity was 90.48%, 90.48% and 92.09%. Conclusions:Compared with the PI-RADS score, the improved PSMA score can improve the specificity and accuracy of PCa diagnosis, and decrease the false negative and false positive rates; the diagnostic efficiency of the combination of the two is superior.
5.Systematic review of risk prediction models for ventilator-associated pneumonia in mechanically ventilated patients in Intensive Care Unit
Hui WEN ; Qingmei NIE ; Lili SUN ; Yueyue BAO ; Yingying ZHANG ; Pei LIU ; Rongrong CAO
Chinese Journal of Modern Nursing 2024;30(24):3280-3286
Objective:To systematically search and evaluate risk prediction models for ventilator-associated pneumonia (VAP) of ICU in order to provide references for developing higher-quality VAP risk prediction models.Methods:Relevant literature was retrieved from databases including China Biology Medicine disc, WanFang data, China National Knowledge Infrastructure, Embase, PubMed, CINAHL, Web of Science, and Cochrane Library. The search timeframe was from the establishment of the databases to September 30, 2023, limited to English and Chinese languages. Two researchers independently screened the literature and extracted data, and the PROBAST tool was used to evaluate the risk of bias and applicability of the included studies.Results:A total of 15 studies on VAP risk prediction models were included. The area under the receiver operating characteristic curve for the 15 models ranged from 0.722 to 0.982. The most frequently involved predictors were age, duration of mechanical ventilation, ICU length of stay, and comorbid chronic obstructive pulmonary disease. The overall adaptability was good, but the risk of bias was high. The main sources of bias included insufficient sample size, inappropriate data sources, lack of model performance evaluation, and inadequate attention to missing data.Conclusions:The risk of bias in studies on VAP risk prediction models is high, indicating that the field is still developing. Future research should focus on the effectiveness of different risk assessment methods to construct models with low bias, excellent predictive performance, and suitability for clinical practice in China.
6.The establishment and validation of the Chinese version of SARC-F scale for sarcopenia screening among elderly population: a multicenter study
Jiayu GUO ; Kang YU ; Chunwei LI ; Yuanyuan BAO ; Yu ZHANG ; Fang WANG ; Rongrong LI ; Haiyan XIE
Chinese Journal of Clinical Nutrition 2023;31(2):74-81
Objective:To establish the Chinese version of (strength, assistance with walking, rise from a chair, climb stairs and falls, SARC-F) scale using the standardized methods and to validate the reliability and validity for sarcopenia screening among elderly population.Methods:Following the recommended procedure by World Health Organization and European Union Geriatric Medicine Society Sarcopenia Special Interest Group, the translation process included forward translation, expert panel, back-translation, pre-testing and cognitive interviewing to generate the final version. In the pilot study, the test-retest reliability, inter-rater reliability, and internal consistency of the Chinese version of SARC-F scale were assessed. In the diagnostic test for clinical validation, the participants were consecutively recruited from communities and hospitals in Beijing and Tianjin between December 2021 and October 2022. The scale administration, anthropometry, and body composition measurement were conducted by trained investigators. Participants with the SARC-F score ≥ 4 were considered at risk of sarcopenia. Diagnostic tests and receiver operating characteristic curve analysis were performed against the definitions of sarcopenia according to European Working Group on Sarcopenia in Older People (EWGSOP2) and Asian Working Group for Sarcopenia (AWGS2019), and the sensitivity, specificity, positive predictive value, negative predictive value and the area under curve were displayed.Results:The Chinese version of SARC-F scale was approved by the author that the translation has expressed the original meaning correctly. The Chinese version of SARC-F had good test-retest reliability (ICC = 0.914), inter-rater reliability ( r = 0.726), and internal consistency ( α = 0.729). There were altogether 1 882 participants included in the clinical validation. According to the diagnostic criteria of EWGSOP2 and AWGS2019, the Chinese version of SARC-F scale had low sensitivity (13.6% and 16.0%) and positive predictive value (44.6% and 35.4%), high specificity (95.1% and 94.7%) and negative predictive value (79.0% and 86.2%), and moderate AUC of 0.619 and 0.616 (all P < 0.001) for sarcopenia screening. Conclusions:The Chinese version of SARC-F scale was of good reliability and validity. The application of SARC-F in the primary healthcare settings would contribute to the early diagnosis of sarcopenia.
7.Research progress on pregnant women's readiness for discharge
Jianli BAO ; Rongrong SHI ; Yang LI ; Cuixia LIN ; Jing DU ; Min WANG
Chinese Journal of Modern Nursing 2023;29(26):3635-3640
This article summarizes the pregnant women's readiness for discharge from five aspects, including the concept, research status at home and abroad, evaluation tools, influencing factors, and interventions of readiness for discharge, so as to provide reference for future research on pregnant women's readiness for discharge.
8.Design, synthesis and biological evaluation of pyrazolo3,4-
Xiaowei WU ; Mengdi DAI ; Rongrong CUI ; Yulan WANG ; Chunpu LI ; Xia PENG ; Jihui ZHAO ; Bao WANG ; Yang DAI ; Dan FENG ; Tianbiao YANG ; Hualiang JIANG ; Meiyu GENG ; Jing AI ; Mingyue ZHENG ; Hong LIU
Acta Pharmaceutica Sinica B 2021;11(3):781-794
Fibroblast growth factor receptors (FGFRs) have emerged as promising targets for anticancer therapy. In this study, we synthesized and evaluated the biological activity of 66 pyrazolo[3,4-
9.Recognition method of single trial motor imagery electroencephalogram signal based on sparse common spatial pattern and Fisher discriminant analysis.
Rongrong FU ; Yongsheng TIAN ; Tiantian BAO
Journal of Biomedical Engineering 2019;36(6):911-915
This paper aims to realize the decoding of single trial motor imagery electroencephalogram (EEG) signal by extracting and classifying the optimized features of EEG signal. In the classification and recognition of multi-channel EEG signals, there is often a lack of effective feature selection strategies in the selection of the data of each channel and the dimension of spatial filters. In view of this problem, a method combining sparse idea and greedy search (GS) was proposed to improve the feature extraction of common spatial pattern (CSP). The improved common spatial pattern could effectively overcome the problem of repeated selection of feature patterns in the feature vector space extracted by the traditional method, and make the extracted features have more obvious characteristic differences. Then the extracted features were classified by Fisher linear discriminant analysis (FLDA). The experimental results showed that the classification accuracy obtained by proposed method was 19% higher on average than that of traditional common spatial pattern. And high classification accuracy could be obtained by selecting feature set with small size. The research results obtained in the feature extraction of EEG signals lay the foundation for the realization of motor imagery EEG decoding.
Algorithms
;
Brain-Computer Interfaces
;
Discriminant Analysis
;
Electroencephalography
;
Imagination
;
Signal Processing, Computer-Assisted
10.Effect of monocular depth perception on accommodative response
Ruru, CHEN ; Fan, LYU ; Ruijun, WANG ; Jinhua, BAO ; Rongrong, LE
Chinese Journal of Experimental Ophthalmology 2015;33(6):519-524
Background Different depthes or distances are prompted with many visual cues on the flat screen.Which kind of depth cues plays a major role in the accommodation of human eyes,in addition,whether this effect exists in the different distance are still below understood.Objective This study was to research the effect of the monocular space depth perception on accommodative response at different distances,and to analyze the effect of linear perspective and size-constancy perceptual depth cues on the level and amplitude of accommodative fluctation.Methods Four groups of visual targets were designed by FLASH software and placed at the front of eyes with the distance of 50 cm or 33.3 cm,representing static change from far to near and dynamic change from far to near,from near to far respectively.Twenty-six healthy volunteers aged 22-26 years were included in this study,with the spherical power of (-4.06± 1.99) D and cylindrical power of (-0.38±0.41) D under the informed consent.The accommodative response and accommodative fluctuations during monocularly watching the targets were recorded at 5 times/second by Grand Seiko WAM 5500 automatic infrared refractor.This study was approved by Ethic Committee of Wenzhou Medical University,and written informed consent was obtained from each subject before entering the study group.Results At the distance of 50 cm,the accommodative response caused by the depth perception of near was (1.52±0.46) D,the one of distance was (1.37±0.46) D,with a significant difference of 0.15 D under the combined effect of linear perspective and size-constancy (P =0.016).The accommodative response caused by the depth perception of big car was (1.43 ± 0.35) D,and the one of small car was (1.43 ± 0.36) D,without statistically significant difference under the effect of size-constancy alone (P =0.467).At the distance of 33.3 cm,the accommodative response caused by the depth perception of near was (2.40±0.53)D,and the one of distance was (2.35 ±0.51) D,without significant difference under the combined effect of linear perspective and size-constancy (P=0.379).The accommodative response caused by the depth perception of big car was (2.38±0.48)D,the one of small car was (2.39±0.52)D,without statistically significant difference under the effect of size-constancy alone (P =0.820).In addition,the total curve of accommodative microfluctuation showed apparent fluctuation periodically caused by the distance perception involving linear perspective only.Conclusions Monocular space depth perception has some impacts on the accommodative response at certain distance.Linear perspective,which is one of the depth cues of space perception,plays a major role in the accommodative response.Compared with the size-constancy,linear perspective can provide depth perception at higher level.The size-constancy has a little or contrast impact to the accommodation,because it depends on the assistance from other depth cues like linear perspective.

Result Analysis
Print
Save
E-mail