1.Correlation between serum 25-hydroxyvitamin D3 level and peritoneal dialysis associated peritonitis
Mengjiao XIAO ; Zhong ZHONG ; Hongjian YE ; Jianxiong LIN ; Chunyan YI ; Xiao YANG ; Xueqing YU
Chinese Journal of Nephrology 2020;36(5):337-344
Objective:To explore the correlation between serum 25-hydroxyvitamin D3 [25(OH)D3] level and peritoneal dialysis (PD) associated peritonitis, and provide a new idea for the prevention and treatment of peritonitis.Methods:In this single-center retrospective cohort study, patients who were≥18 years old and were treated with regular PD≥3 months in PD center from January 1, 2014 to September 30, 2018 were recruited, except those who had a history of malignant tumors or systemic infectious diseases, transferred from permanent hemodialysis (HD) or failed kidney transplantation. Baseline data including demographic characteristics as well as clinical and biochemical data were collected. All the patients were followed up until death, transfer to HD, kidney transplantation, transfer to other centers or the end of our study (December 31, 2018), and were divided into low tertile [serum 25(OH)D3 ≤12μg/L], middle tertile[12 μg/L
2.Evaluation of an assistant diagnosis system for gastric neoplastic lesions under white light endoscopy based on artificial intelligence
Junxiao WANG ; Zehua DONG ; Ming XU ; Lianlian WU ; Mengjiao ZHANG ; Yijie ZHU ; Xiao TAO ; Hongliu DU ; Chenxia ZHANG ; Xinqi HE ; Honggang YU
Chinese Journal of Digestive Endoscopy 2023;40(4):293-297
Objective:To assess the diagnostic efficacy of upper gastrointestinal endoscopic image assisted diagnosis system (ENDOANGEL-LD) based on artificial intelligence (AI) for detecting gastric lesions and neoplastic lesions under white light endoscopy.Methods:The diagnostic efficacy of ENDOANGEL-LD was tested using image testing dataset and video testing dataset, respectively. The image testing dataset included 300 images of gastric neoplastic lesions, 505 images of non-neoplastic lesions and 990 images of normal stomach of 191 patients in Renmin Hospital of Wuhan University from June 2019 to September 2019. Video testing dataset was from 83 videos (38 gastric neoplastic lesions and 45 non-neoplastic lesions) of 78 patients in Renmin Hospital of Wuhan University from November 2020 to April 2021. The accuracy, the sensitivity and the specificity of ENDOANGEL-LD for image testing dataset were calculated. The accuracy, the sensitivity and the specificity of ENDOANGEL-LD in video testing dataset for gastric neoplastic lesions were compared with those of four senior endoscopists.Results:In the image testing dataset, the accuracy, the sensitivity, the specificity of ENDOANGEL-LD for gastric lesions were 93.9% (1 685/1 795), 98.0% (789/805) and 90.5% (896/990) respectively; while the accuracy, the sensitivity and the specificity of ENDOANGEL-LD for gastric neoplastic lesions were 88.7% (714/805), 91.0% (273/300) and 87.3% (441/505) respectively. In the video testing dataset, the sensitivity [100.0% (38/38) VS 85.5% (130/152), χ2=6.220, P=0.013] of ENDOANGEL-LD was higher than that of four senior endoscopists. The accuracy [81.9% (68/83) VS 72.0% (239/332), χ2=3.408, P=0.065] and the specificity [ 66.7% (30/45) VS 60.6% (109/180), χ2=0.569, P=0.451] of ENDOANGEL-LD were comparable with those of four senior endoscopists. Conclusion:The ENDOANGEL-LD can accurately detect gastric lesions and further diagnose neoplastic lesions to help endoscopists in clinical work.
3.Application of an artificial intelligence-assisted endoscopic diagnosis system to the detection of focal gastric lesions (with video)
Mengjiao ZHANG ; Ming XU ; Lianlian WU ; Junxiao WANG ; Zehua DONG ; Yijie ZHU ; Xinqi HE ; Xiao TAO ; Hongliu DU ; Chenxia ZHANG ; Yutong BAI ; Renduo SHANG ; Hao LI ; Hao KUANG ; Shan HU ; Honggang YU
Chinese Journal of Digestive Endoscopy 2023;40(5):372-378
Objective:To construct a real-time artificial intelligence (AI)-assisted endoscepic diagnosis system based on YOLO v3 algorithm, and to evaluate its ability of detecting focal gastric lesions in gastroscopy.Methods:A total of 5 488 white light gastroscopic images (2 733 images with gastric focal lesions and 2 755 images without gastric focal lesions) from June to November 2019 and videos of 92 cases (288 168 clear stomach frames) from May to June 2020 at the Digestive Endoscopy Center of Renmin Hospital of Wuhan University were retrospectively collected for AI System test. A total of 3 997 prospective consecutive patients undergoing gastroscopy at the Digestive Endoscopy Center of Renmin Hospital of Wuhan University from July 6, 2020 to November 27, 2020 and May 6, 2021 to August 2, 2021 were enrolled to assess the clinical applicability of AI System. When AI System recognized an abnormal lesion, it marked the lesion with a blue box as a warning. The ability to identify focal gastric lesions and the frequency and causes of false positives and false negatives of AI System were statistically analyzed.Results:In the image test set, the accuracy, the sensitivity, the specificity, the positive predictive value and the negative predictive value of AI System were 92.3% (5 064/5 488), 95.0% (2 597/2 733), 89.5% (2 467/ 2 755), 90.0% (2 597/2 885) and 94.8% (2 467/2 603), respectively. In the video test set, the accuracy, the sensitivity, the specificity, the positive predictive value and the negative predictive value of AI System were 95.4% (274 792/288 168), 95.2% (109 727/115 287), 95.5% (165 065/172 881), 93.4% (109 727/117 543) and 96.7% (165 065/170 625), respectively. In clinical application, the detection rate of local gastric lesions by AI System was 93.0% (6 830/7 344). A total of 514 focal gastric lesions were missed by AI System. The main reasons were punctate erosions (48.8%, 251/514), diminutive xanthomas (22.8%, 117/514) and diminutive polyps (21.4%, 110/514). The mean number of false positives per gastroscopy was 2 (1, 4), most of which were due to normal mucosa folds (50.2%, 5 635/11 225), bubbles and mucus (35.0%, 3 928/11 225), and liquid deposited in the fundus (9.1%, 1 021/11 225).Conclusion:The application of AI System can increase the detection rate of focal gastric lesions.
4.Study on Optimization of the Nine-time Repeat Steaming and Sun-drying Process Processing Technology of Polygonum multiflorum
Jun’an PU ; Simin ZHANG ; Mengjiao LIU ; Wangzhong XIAO ; Lei YANG
China Pharmacy 2020;31(22):2713-2719
OBJECTIVE:To establish methods for the content determination of stilbene glycoside ,emodin,emodin methyl ether and total polysaccharide in P. multiflorum ,and to optimize the processing technology of traditional nine-time repeat steaming and sun-drying process of P. multiflorum . METHODS :HPLC method was adopted to determine the contents of stilbene glycoside , emodin,and emodin methyl ether. The content of total polysaccharide was determined by UV spectrometry. With steaming time , drying time and drying temperature as independent variables ,the contents of stilbene glycoside ,emodin,emodin methyl ether and total polysaccharide as indexes ,the processing technology of nine-time repeat steaming and sun-drying process of P. multiflorum was optimized by weighted comprehensive score method and central composite design-response surface method ,and the validation tests were conducted. RESULTS :The linear range of sample size of stilbene glycoside ,emodin and emodin methyl ether were 0.27-2.7 µg(r=0.997 1),0.063-0.63 µg(r=0.999 9),0.038-0.38 µg(r=0.990 9),respectively. The linear range of mass concentration of total polysaccharide was 2.07-12.42 µg/mL(r=0.999 6),respectively. RSDs of precision ,stability and reproducibility tests were all lower than 2%. The recoveries were 99.43%-101.06%(RSD=0.63%,n=6),98.74%-120.33% (RSD=1.34%,n=6),98.39%-102.44%(RSD=1.49%,n=6),99.51%-101.98%(RSD=0.87%,n=6),respectively. The optimal processing technology was steaming time for 4.5 h,drying time for 9 h,drying temperatrue for 66 ℃ and repeat processing for 9 times. Results of 3 times of validation tests showed that the comprehensive score of optimal technology was 35.69, relative error of which to predicted value (36.90)was 3.30%. CONCLUSIONS :Established method is simple and reproducible , and the optimal processing technology is predicive ,stable feasible.
5.Quantitative proteomics revealed extensive microenvironmental changes after stem cell transplantation in ischemic stroke.
Yao CHEN ; Fahuan SONG ; Mengjiao TU ; Shuang WU ; Xiao HE ; Hao LIU ; Caiyun XU ; Kai ZHANG ; Yuankai ZHU ; Rui ZHOU ; Chentao JIN ; Ping WANG ; Hong ZHANG ; Mei TIAN
Frontiers of Medicine 2022;16(3):429-441
The local microenvironment is essential to stem cell-based therapy for ischemic stroke, and spatiotemporal changes of the microenvironment in the pathological process provide vital clues for understanding the therapeutic mechanisms. However, relevant studies on microenvironmental changes were mainly confined in the acute phase of stroke, and long-term changes remain unclear. This study aimed to investigate the microenvironmental changes in the subacute and chronic phases of ischemic stroke after stem cell transplantation. Herein, induced pluripotent stem cells (iPSCs) and neural stem cells (NSCs) were transplanted into the ischemic brain established by middle cerebral artery occlusion surgery. Positron emission tomography imaging and neurological tests were applied to evaluate the metabolic and neurofunctional alterations of rats transplanted with stem cells. Quantitative proteomics was employed to investigate the protein expression profiles in iPSCs-transplanted brain in the subacute and chronic phases of stroke. Compared with NSCs-transplanted rats, significantly increased glucose metabolism and neurofunctional scores were observed in iPSCs-transplanted rats. Subsequent proteomic data of iPSCs-transplanted rats identified a total of 39 differentially expressed proteins in the subacute and chronic phases, which are involved in various ischemic stroke-related biological processes, including neuronal survival, axonal remodeling, antioxidative stress, and mitochondrial function restoration. Taken together, our study indicated that iPSCs have a positive therapeutic effect in ischemic stroke and emphasized the wide-ranging microenvironmental changes in the subacute and chronic phases.
Animals
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Cell Differentiation
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Disease Models, Animal
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Ischemic Stroke
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Proteomics
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Rats
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Stem Cell Transplantation/methods*
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Stroke/therapy*
6.Resveratrol promotes the survival and neuronal differentiation of hypoxia-conditioned neuronal progenitor cells in rats with cerebral ischemia.
Yao YAO ; Rui ZHOU ; Rui BAI ; Jing WANG ; Mengjiao TU ; Jingjing SHI ; Xiao HE ; Jinyun ZHOU ; Liu FENG ; Yuanxue GAO ; Fahuan SONG ; Feng LAN ; Xingguo LIU ; Mei TIAN ; Hong ZHANG
Frontiers of Medicine 2021;15(3):472-485
Hypoxia conditioning could increase the survival of transplanted neuronal progenitor cells (NPCs) in rats with cerebral ischemia but could also hinder neuronal differentiation partly by suppressing mitochondrial metabolism. In this work, the mitochondrial metabolism of hypoxia-conditioned NPCs (hcNPCs) was upregulated via the additional administration of resveratrol, an herbal compound, to resolve the limitation of hypoxia conditioning on neuronal differentiation. Resveratrol was first applied during the in vitro neuronal differentiation of hcNPCs and concurrently promoted the differentiation, synaptogenesis, and functional development of neurons derived from hcNPCs and restored the mitochondrial metabolism. Furthermore, this herbal compound was used as an adjuvant during hcNPC transplantation in a photothrombotic stroke rat model. Resveratrol promoted neuronal differentiation and increased the long-term survival of transplanted hcNPCs. 18-fluorine fluorodeoxyglucose positron emission tomography and rotarod test showed that resveratrol and hcNPC transplantation synergistically improved the neurological and metabolic recovery of stroke rats. In conclusion, resveratrol promoted the neuronal differentiation and therapeutic efficiency of hcNPCs in stroke rats via restoring mitochondrial metabolism. This work suggested a novel approach to promote the clinical translation of NPC transplantation therapy.
Animals
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Brain Ischemia/drug therapy*
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Cell Differentiation
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Hypoxia
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Neurons
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Rats
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Resveratrol/pharmacology*