1.Mechanism and application of stem cell-derived apoptotic bodies in regulating tissue regeneration
Yufan ZHU ; Xihang CHEN ; Yunjun LIAO
Chinese Journal of Plastic Surgery 2024;40(9):1018-1025
Apoptotic bodies (ApoBDs) therapy is a novel and promising cell-free therapeutic strategy. However, the therapeutic mechanism and application of stem cells derived ApoBDs in tissue regeneration have not yet received adequate attention and research evidence. This review summarized the physiological and pathological effects, formation, release, enrichment and purification process of ApoBDs in detail. Furthermore, this review introduced the possible mechanism researches of stem cell-derived ApoBDs regulating regeneration of different organs and tissues, evaluated the possible strategies for their applications as drug delivery carrier, and prospected the development of the engineered modified ApoBDs in regenerative medicine.
2.Detection and recognition of urinary VOCs marker gases for bladder cancer based on electronic nose technology
Zhijian HUANG ; Yutong HAN ; Yufan SUN ; Zhigang ZHU
International Journal of Biomedical Engineering 2024;47(2):115-122
Objective:To design an electronic nose that can detect and identify urinary volatile organic compounds (VOCs) as marker gases for bladder cancer.Methods:Isopropyl alcohol, ethylbenzene, acetic acid, and ammonia were selected as target gases, and 8 metal oxide gas sensors were used to construct sensor arrays for testing and collecting experimental data, and different characteristics were normalized. Recursive feature elimination (RFE) was used to select the best feature subset, and principal component analysis (PCA) and linear discriminant analysis (LDA) were further introduced to reduce the data dimension and facilitate visual analysis. In addition, three machine learning algorithms, including support vector machine (SVM), random forest (RF), and K-nearest neighbor (KNN), were combined to train and verify the model.Results:When the feature number was 12, the accuracy of the model classification had the best performance. The feature subset consisted of 5 differences, 5 sensitivities, and 2 integrals, and the data was reduced to 12 dimensions. Only PCA couldn’t distinguish the four gases. The LDA classification performance was significantly better than that of PCA, except that isopropyl alcohol and acetic acid had a small overlap area. LDA could distinguish ethylbenzene and ammonia from isopropyl alcohol and acetic acid; the sample points were gathered, which means the clustering performance was also better. The prediction accuracy of SVM, RF, and KNN was 0.85, 0.56, and 0.79, respectively. After model verification, the classification accuracy of PCA+SVM, LDA+RF, and LDA+KNN was 0.97, 0.94, and 0.97, respectively.Conclusions:An electronic nose was designed to detect and identify urinary VOCs marker gases for bladder cancer.
3.Multi-task learning for automated classification of hypertensive heart disease and hypertrophic cardiomyopathy using native T1 mapping
Honglin ZHU ; Yufan QIAN ; Xiao CHANG ; Yan ZHOU ; Jian MA ; Rong SUN ; Shengdong NIE ; Lianming WU
International Journal of Biomedical Engineering 2024;47(4):342-348
Objective:To automatically classify hypertensive heart disease (HHD) and hypertrophic cardiomyopathy (HCM) based on mul-titask learning algorithm using native T1 mapping images.Methods:A total of 203 patients admitted to Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University from January 2017 to December 2021 were enrolled, including 53 patients with HHD, 121 patients with HCM, and 29 patients with normal control (NC). Native T1 mapping images of all enrolled patients were acquired using MRI and processed by a multi-task learning algorithm. The classification performance of each model was validated using ten-fold crossover, confusion matrix, and receiver operator characteristic (ROC) curves. The Resnet 50 model based on the original images was established as a control.Results:The ten-fold crossover validation results showed that the MTL-1 024, MTL-64, and MTL-all models showed better performance in terms of area under the curve (AUC), accuracy, sensitivity, and specificity compared to the Resnet 50 model. In the classification task, the MTL-64 model showed the best performance in terms of AUC (0.942 1), while the MTL-all model reached the highest value in terms of accuracy (0.852 2). In the segmentation task, the MTL-64 model achieved the best results with the Dice coefficient (0.879 7). The confusion matrix plot showed that the MTL model outperforms the Resnet 50 model based on the original image in terms of overall performance. The ROC graphs of all MTL models were significantly higher than the original image input Resnet 50 model.Conclusions:Multi-task learning-based native T1 mapping images are effective for automatic classification of HHD and HCM.
4.Mechanism and application of stem cell-derived apoptotic bodies in regulating tissue regeneration
Yufan ZHU ; Xihang CHEN ; Yunjun LIAO
Chinese Journal of Plastic Surgery 2024;40(9):1018-1025
Apoptotic bodies (ApoBDs) therapy is a novel and promising cell-free therapeutic strategy. However, the therapeutic mechanism and application of stem cells derived ApoBDs in tissue regeneration have not yet received adequate attention and research evidence. This review summarized the physiological and pathological effects, formation, release, enrichment and purification process of ApoBDs in detail. Furthermore, this review introduced the possible mechanism researches of stem cell-derived ApoBDs regulating regeneration of different organs and tissues, evaluated the possible strategies for their applications as drug delivery carrier, and prospected the development of the engineered modified ApoBDs in regenerative medicine.
5.Association between the severity of hypodontia and the characteristics of craniofacial morphology in a Chinese population: A cross-sectional study
Xin XIONG ; Jiaqi LIU ; Yange WU ; Chengxinyue YE ; Qinlanhui ZHANG ; Yufan ZHU ; Wenke YANG ; Jun WANG
The Korean Journal of Orthodontics 2023;53(3):150-162
Objective:
To investigate craniofacial differences in individuals with hypodontia and explore the relationship between craniofacial features and the number of congenitally missing teeth.
Methods:
A cross-sectional study was conducted among 261 Chinese patients (males, 124; females, 137; age, 7–24 years), divided into four groups (without hypodontia: no teeth missing, mild: one or two missing teeth, moderate: three to five missing teeth, severe: six or more missing teeth) according to the number of congenitally missing teeth. Differences in cephalometric measurements among the groups were analyzed. Further, multivariate linear regression and smooth curve fitting were performed to evaluate the relationship between the number of congenitally missing teeth and the cephalometric measurements.
Results:
In patients with hypodontia, SNA, NA-AP, FH-NA, ANB, Wits, ANS-Me/N-Me, GoGn-SN, UL-EP, and LL-EP significantly decreased, while Pog-NB, AB-NP, N-ANS, and S-Go/N-Me significantly increased. In multivariate linear regression analysis, SNB, Pog-NB, and S-Go/N-Me were positively related to the number of congenitally missing teeth. In contrast, NA-AP, FH-NA, ANB, Wits, N-Me, ANS-Me, ANS-Me/N-Me, GoGn-SN, SGn-FH (Y-axis), UL-EP, and LL-EP were negatively related, with absolute values of regression coefficients ranging from 0.147 to 0.357. Further, NA-AP, Pog-NB, S-Go/N-Me, and GoGn-SN showed the same tendency in both sexes, whereas UL-EP and LL-EP were different.
Conclusions
Compared with controls, patients with hypodontia tend toward a Class III skeletal relationship, reduced lower anterior face height, flatter mandibular plane, and more retrusive lips. The number of congenitally missing teeth had a greater effect on certain characteristics of craniofacial morphology in males than in females.
6.Metabolic Disease Management Guideline for National Metabolic Management Center(2nd edition)
Weiqing WANG ; Yufan WANG ; Guixia WANG ; Guang NING ; Dalong ZHU ; Ping LIU ; Libin LIU ; Jianmin LIU ; Zhaoli YAN ; Xulei TANG ; Bangqun JI ; Sunjie YAN ; Heng SU ; Jianling DU ; Sheli LI ; Li LI ; Shengli WU ; Jinsong KUANG ; Yubo SHA ; Ping ZHANG ; Yifei ZHANG ; Lei CHEN ; Zunhai ZHOU ; Chao ZHENG ; Qidong ZHENG ; Zhongyan SHAN ; Dong ZHAO ; Zhigang ZHAO ; Ling HU ; Tingyu KE ; Yu SHI ; Yingfen QIN ; Mingjun GU ; Xuejiang GU ; Fengmei XU ; Zuhua GAO ; Qijuan DONG ; Yi SHU ; Yuancheng DAI
Chinese Journal of Endocrinology and Metabolism 2023;39(6):538-554
The latest epidemiological data suggests that the situation of adult diabetes in China is severe, and metabolic diseases have become significant chronic illnesses that have a serious impact on public health and social development. After more than six years of practice, the National Metabolic Management Center(MMC) has developed distinctive approaches to manage metabolic patients and has achieved a series of positive outcomes, continuously advancing the standardized diagnosis and treatment model. In order to further improve the efficiency, based on the first edition, the second edition guideline was composed by incorporating experience of the past six years in conjunction with the latest international and domestic guidelines.
7.Risk factors for postoperative nausea and vomiting in obese patients undergoing laparoscopic sleeve gastrectomy
Qianqian YU ; Ling DONG ; Jun CHENG ; Xinyue WANG ; Pan ZHU ; Minghu WANG ; Pengfei SHENG ; Yufan JIANG ; Lingling ZHOU ; Qi XUE ; Chunxia HUANG ; Ye ZHANG
Chinese Journal of Anesthesiology 2023;43(12):1428-1432
Objective:To retrospectively identify the risk factors for postoperative nausea and vomiting (PONV)in the obese patients undergoing laparoscopic sleeve gastrectomy(LSG).Methods:The medical records from the obese patients who underwent elective laparoscopic sleeve gastrectomy from January 2018 to July 2022 were retrospectively collected. PONV was defined according to the use of remedial antiemetics in the nursing record sheet, and the patients were divided into PONV group and non-PONV group according to the occurrence of PONV that required treatment. The logistic regression analysis was used to identify the risk factors for PONV after LSG.Results:A total of 1 264 obese patients were included in this study, and there were 263 patients in PONV group, and the incidence of PONV was 20.81%. According to the results of multifactorial logistic regression analysis, female( OR=1.533, 95% CI 1.007-2.334, P=0.046), higher level of serum alanine aminotransferase concentrations ( OR=1.006, 95% CI 1.002-1.009, P=0.001), higher level of C-reactive protein ( OR=1.013, 95% CI 1.005-1.022, P=0.001), general anesthesia combined with nerve block (general anesthesia combined with TAPB: OR=2.737, 95% CI 1.817-4.121, P<0.001; general anesthesia combined with other nerve block: OR=1.899, 95% CI 1.249-2.889, P=0.003) and intraoperative use of sufentanil ( OR=2.114, 95% CI 1.308-3.415, P=0.002) were independent risk factors for PONV( P<0.05). However, the higher level of serum follicle-stimulating hormone concentrations ( OR=0.941, 95% CI 0.895-0.988, P=0.015), intraoperative use of dexmedetomidine ( OR=0.640, 95% CI 0.417-0.982, P=0.041), and administration of prophylactic antiemetic medication (antiemetic drugs during operation OR=0.669, 95% CI 0.469-0.955, P=0.027; antiemetic drugs after operation OR=0.303, 95% CI 0.182-0.503, P<0.001; antiemetic drugs during and after operation OR=0.215, 95% CI 0.107-0.434, P<0.001) were protective factors for PONV. Conclusions:Female, higher levels of serum alanine aminotransferase and C-reactive protein, general anesthesia combined with nerve block and intraoperative use of sufentanil are independent risk factors for PONV, while higher levels of follicle-stimulating hormone, intraoperative use of dexmedetomidine and administration of prophylactic antiemetic medication are protective factors for PONV among obese patients undergoing LSG.
8.Research progress in in vitro detection of urinary volatile organic compounds for early cancer diagnosis
Yuan DING ; Wenyu ZHANG ; Yufan SUN ; Zhijian HUANG ; Yutong HAN ; Zhigang ZHU
International Journal of Biomedical Engineering 2022;45(2):176-185
With the further increase of the global cancer burden, various cancers are increasingly challenging human health status and quality of life. Thus, early screening of cancer is crucial. Urinary volatile organic compounds (VOCs) detection techniques have the advantages of easy access to samples, high acceptance of patients, non-invasive, and so on, which have been favored and concerned by researchers. In this paper, existing techniques and methods for cancer diagnosis based on urine VOCs were described, relevant studies on the use of urine VOCs for cancer diagnosis were reviewed, and the barriers and future perspectives of the technique were discussed. This paper can be a reference for researchers working in the direction of urinary VOCs detection, a multidisciplinary field that spans medicine and materials science.
9.Cathepsin B-responsive and gadolinium-labeled branched glycopolymer-PTX conjugate-derived nanotheranostics for cancer treatment.
Hao CAI ; Yufan XIANG ; Yujun ZENG ; Zhiqian LI ; Xiuli ZHENG ; Qiang LUO ; Hongyan ZHU ; Qiyong GONG ; Zhongwei GU ; Yanhui LIU ; Hu ZHANG ; Kui LUO
Acta Pharmaceutica Sinica B 2021;11(2):544-559
Multi-modal therapeutics are emerging for simultaneous diagnosis and treatment of cancer. Polymeric carriers are often employed for loading multiple drugs due to their versatility and controlled release of these drugs in response to a tumor specific microenvironment. A theranostic nanomedicine was designed and prepared by complexing a small gadolinium chelate, conjugating a chemotherapeutic drug PTX through a cathepsin B-responsive linker and covalently bonding a fluorescent probe pheophorbide a (Ppa) with a branched glycopolymer. The branched prodrug-based nanosystem was degradable in the tumor microenvironment with overexpressed cathepsin B, and PTX was simultaneously released to exert its therapeutic effect. The theranostic nanomedicine, branched glycopolymer-PTX-DOTA-Gd, had an extended circulation time, enhanced accumulation in tumors, and excellent biocompatibility with significantly reduced gadolinium ion (Gd
10.Construction of Hsf1 gene-knockout mouse model using CRISPR/Cas9
Zheyu WU ; Zhenhua ZHOU ; Zhipeng WU ; Yufeng ZHANG ; Zhiqiang YANG ; Yufan ZHU ; Yuanlong XIE ; Jianru XIAO ; Lin CAI
Chinese Journal of Orthopaedics 2021;41(8):515-524
Objective:To explore the efficient construction of HSF1 gene knockout mouse model using CRISPR/Cas9 gene editing technology, and to establish the early basis for the mouse model of primary osteosarcoma.Methods:According to exon 9 of HSF1 gene structure, the corresponding GRNA (guideRNA) was selected and screened. Then the transcription template of sgRNA (small guide RNA) was amplified by PCR, and four up stream primers were obtained. Subsequently, sgRNA was transcribed in vitro and screened by Tube Screen platform to screen the sgRNA with effective cutting, and the sgRNA with the highest cutting efficiency was selected from the screening results for subsequent experiments. The transcription template of SPCas9mRNA was amplified by PCR, and then Cas9mRNA was transcribed in vitro. The sgRNA transcribed in vitro and Cas9mRNA were injected into the fertilized eggs of healthy C57BL/6 mice, and the tissue was extracted from the tail of the born mice and identified by PCR sequencing. Heterozygous female mice of F0 generation were selected to mate with wild-type male mice too btain F1 generation off spring. The mutation of gene bases of F1 generation mice was detected by AGAR gel electrophoresis and gene sequencing. The heterozygous male mice of the F1 generation and female mice of the F0 generation were back crossed to obtain the F2 generation daughter mice. The tail tissues were cut and sequenced to obtain the F2 generation homozygous knockout mice. PCR was used to observe the cutting efficiency of sgRNA and the sequencing of rat tail tissue, and SNAPGene software was used for gene sequence alignment to determine the deletion of base fragments.Results:The up stream primers sgRNA-1 Primer-f, sgRNA-2 Primer-f, sgRNA-3 Primer-f, sgRNA-4 Primer-f and down stream primers sgRNA-4 Primer -r were obtained by PCR amplification. After in vitro tran scription and screening of sgrRNA, sgrRNA-1, sgrRNA-2 and sgrRNA-4 had high cleavage efficiency and were selected for subsequent experiments. T7 promoter was added to the 5 'end of Cas9 mRNA, and Cas9 mRNA was obtained by PCR and in vitro transcription kit. Mixed Cas9-sgRNA solution was injected into the fertilized eggs of mice and cultured. The cultured two-cell fertilized eggs were injected into the ampulla of the pseudo pregnant female mice, and the F0 generation mice were obtained successfully. A total of 8 heterozygous mice of F0 generation were obtained by Agar gel electrophoresis. Three heterozygous knockout mice of F1 generation were obtained by breeding the female heterozygous mice of F0 generation with healthy wild-type male mice and PCR and sequencing. Three heterozygous male mice of F1 generation were back crossed with female mice of F0 generation 3 to obtain F2 generation mice. Through the observation of electrophoresis and sequencing results of F2 generation mice, it was confirmed that 7 mice were missing HSF1 base sequence, and the electrophoresis results showed mutant bands and no wild-type bands, which were identified as homozygous. The F2 generation homozygous mice were able to breed stably. As eries of results proved that the HSF1 gene knockout mouse model was successfully established in this experiment.Conclusion:CRISPR/Cas9 technology was successfully used to construct HSF1 gene knockout mouse model, with strong stability and high reproducibility, which laida foundation for further study of HSF1 gene expression products and establishment of mouse model of primary osteosarcoma.

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