1.MaxEnt model-ArcGIS-based evaluation of habitat suitability of Hedysari Radix
Xin LIN ; Cheng-Yi LI ; Xiao-Cheng WEI ; Rui-Juan ZHOU ; Guang-Mao ZHANG ; Yao-Hui XIE ; Xue-Yan TAN ; Shan-Ru LIU
Chinese Traditional Patent Medicine 2023;45(12):4005-4010
AIM To evaluate the habitat suitability of Hedysari Radix based on MaxEnt model and ArcGIS.METHODS Using the MaxEnt model to screen the ecological factors affecting the distribution of Hedysari Radix,an evaluation model was thus established.ArcGIS software was used to evaluate the ecological suitability of Hedysari Radix to obtain the data about the highly suitable area,the moderate suitable area,the low suitable area and non-suitable area for its growth in China.RESULTS Hedysari Radix found its 1.29×106 km2 suitable area in China,among which the highly suitable area was 5×104 km2,mainly in Gansu Province,the moderately suitable area was 3.38×105 km2,and the low-suitable area was 9×105 km2,occupying 4.03%,26.20%and 69.77%of all,respectively.The main ecological factors affecting the distribution of Hedysari Radix were determined to be altitude,precipitation in the hottest quarter,solar radiation in September and December,seasonal temperature variation deviation and basic saturation of upper soil(0-30 cm).CONCLUSION With its result complying well with the literature records,this study provides theoretical basis for the introduction and cultivation of Hedysari Radix,and sustainable utilization of resources as well.
2.A Comparative Study of Blood Lead Levels in Urban Children in China: The China Nutrition and Health Survey (CNHS) 2002 and 2012.
Xiao Bing LIU ; Zhao Long GONG ; Yu ZHANG ; Hui Di ZHANG ; Jun WANG ; Hong Xing TAN ; Jian Hua PIAO ; Li Chen YANG ; Xiao Guang YANG
Biomedical and Environmental Sciences 2023;36(4):376-380
3.Analysis of Chinese Medical Syndrome Features of Ischemic Stroke Based on Similarity of Symptoms Subgroup.
Xiao-Qing LIU ; Run-Shun ZHANG ; Xue-Zhong ZHOU ; Hong ZHOU ; Yu-Yao HE ; Shu HAN ; Jing ZHANG ; Zi-Xin SHU ; Xue-Bin ZHANG ; Jing-Hui JI ; Quan ZHONG ; Li-Li ZHANG ; Zi-Jun MOU ; Li-Yun HE ; Lun-Zhong ZHANG ; Jie YANG ; Yan-Jie HU ; Zheng-Guang CHEN ; Xiao-Zhen LI ; Yan TAN ; Zhan-Feng YAN ; Ke-Gang CAO ; Wei MENG ; He ZHAO ; Wei ZHANG ; Li-Qun ZHONG
Chinese journal of integrative medicine 2023;29(5):441-447
OBJECTIVE:
To derive the Chinese medicine (CM) syndrome classification and subgroup syndrome characteristics of ischemic stroke patients.
METHODS:
By extracting the CM clinical electronic medical records (EMRs) of 7,170 hospitalized patients with ischemic stroke from 2016 to 2018 at Weifang Hospital of Traditional Chinese Medicine, Shandong Province, China, a patient similarity network (PSN) was constructed based on the symptomatic phenotype of the patients. Thereafter the efficient community detection method BGLL was used to identify subgroups of patients. Finally, subgroups with a large number of cases were selected to analyze the specific manifestations of clinical symptoms and CM syndromes in each subgroup.
RESULTS:
Seven main subgroups of patients with specific symptom characteristics were identified, including M3, M2, M1, M5, M0, M29 and M4. M3 and M0 subgroups had prominent posterior circulatory symptoms, while M3 was associated with autonomic disorders, and M4 manifested as anxiety; M2 and M4 had motor and motor coordination disorders; M1 had sensory disorders; M5 had more obvious lung infections; M29 had a disorder of consciousness. The specificity of CM syndromes of each subgroup was as follows. M3, M2, M1, M0, M29 and M4 all had the same syndrome as wind phlegm pattern; M3 and M0 both showed hyperactivity of Gan (Liver) yang pattern; M2 and M29 had similar syndromes, which corresponded to intertwined phlegm and blood stasis pattern and phlegm-stasis obstructing meridians pattern, respectively. The manifestations of CM syndromes often appeared in a combination of 2 or more syndrome elements. The most common combination of these 7 subgroups was wind-phlegm. The 7 subgroups of CM syndrome elements were specifically manifested as pathogenic wind, pathogenic phlegm, and deficiency pathogens.
CONCLUSIONS
There were 7 main symptom similarity-based subgroups in ischemic stroke patients, and their specific characteristics were obvious. The main syndromes were wind phlegm pattern and hyperactivity of Gan yang pattern.
Humans
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Syndrome
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Ischemic Stroke
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Medicine, Chinese Traditional
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Liver
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Phenotype
4. Nephrotoxicity screening of main active components in Zuojin Pills
Chun-Qi YANG ; Yue GAO ; Chun-Qi YANG ; Wen-Yu LIAN ; Yi LIN ; Guang-Hui XIE ; Zeng-Chun MA ; Hong-Ling TAN ; Cheng-Rong XIAO ; Yu-Guang WANG ; Yue GAO ; Wen-Yu LIAN
Chinese Pharmacological Bulletin 2022;38(1):110-118
Aim To study the nephrotoxicity effects of the main monomers in Zuojin Pills. Methods CCK-8 and high-content toxicity screening were used to preliminarily screen the main alkaloids in Zuojin Pills that may cause renal cell damage. Further, by confirmation of cell morphology, release rate of lactate dehydrogenase and cytochrome C, and expression of apoptosis-related proteins, the alkaloids causing cell damage were preliminarily identified, providing in vitro toxicological evidence for the compatibility of components of traditional Chinese medicine and compatibility attenuation. Results Preliminary screening using CCK-8 method and high-content technology showed that evodiamine (EVO) could significantly reduce cell number, increase cell membrane permeability, and reduce mitochondrial membrane potential. In addition, cell morphology, apoptosis and cytochrome C expression were consistent with the results of high-content screening. Western blot experiments indicate that EVO could induce apoptosis and cause renal cell damage. Conclusions EVO can obviously cause renal cell damage, and may induce apoptosis by affecting mitochondria, cytochrome C and cell membrane permeability.
5.Effect of splenic hilar lymphadenectomy on locally advanced Siewert type Ⅱ and Ⅲ adenocarcinoma of esophagogastric junction with a tumor diameter ≥4 cm: a five-year survival analysis.
Jian Xian LIN ; Dong WU ; Yi Ming JIANG ; Jun Yu CHEN ; Guang Tan LIN ; Ping LI ; Jian Wei XIE ; Jia Bin WANG ; Jun LU ; Qi Yue CHEN ; Long Long CAO ; Chao Hui ZHENG ; Chang Ming HUANG
Chinese Journal of Surgery 2022;60(9):853-859
Objective: To examine the long term outcome of splenic hilar lymphadenectomy (SHL) for locally advanced Siewert type Ⅱ and Ⅲ adenocarcinoma of esophagogastric junction (AEG) with a tumor diameter ≥4 cm. Methods: A total of 489 locally advanced Siewert type Ⅱ and Ⅲ AEG patients with a tumor diameter ≥4 cm who underwent radical resection from January 2010 to April 2016 were included. There were 383 males and 106 females. There were 225 patients aged≥65 years and 264 patients aged <65 years. SHL was conducted in 270 patients(SHL group). Wilcoxon rank-sum test or χ2 test were conducted for inter-group comparison. Cox proportional hazard regression was used to analyze the long term outcome of SHL and the prognosis factors of overall survival. Kaplan-Meier curve was drawn finally. The results of survival analysis were verified by Log-rank test. Results: Followed-up to April 2021,the median follow-up time was 78.0 months (range: 74.0 to 85.0 months), the follow-up rate was 95.5%(467/489). The splenic hilar lymphnode metastasis rate of the SHL group was 12.6% (34/270). Younger patients (<65 years old), less complications, higher proportion of patients received adjuvant chemotherapy were demonstrated in the SHL group (χ2: 5.644 to 6.744, all P<0.05). Multivariate analysis showed that SHL was the independent prognosis factor of overall survival for patients with Siewert type Ⅱ and Ⅲ AEG and a tumor diameter≥4 cm (HR=0.68, 95%CI: 0.52 to 0.88, P=0.004) along with preoperative CA19-9, pathological T stage, pathological N stage, adjuvant chemotherapy and postoperative complication. Further subgroup analysis demonstrated that the SHL group had better 5-year overall survival than non-SHL group (62.4% vs. 39.2%, χ2=17.983, P=0.006) in Siewert type Ⅲ AEG rather than in Siewert type Ⅱ AEG(57.3% vs. 53.7%, χ2=3.031, P=0.805). Conclusion: In experienced center, splenic hilar lymphadenectomy can improve the prognosis of Siewert type Ⅲ AEG with a tumor diameter ≥4 cm.
Adenocarcinoma/surgery*
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Aged
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Esophageal Neoplasms
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Esophagogastric Junction/surgery*
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Female
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Humans
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Lymph Node Excision/methods*
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Lymphatic Metastasis/pathology*
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Male
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Retrospective Studies
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Stomach Neoplasms/surgery*
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Survival Analysis
7.Mortality and trend analysis of bladder cancer in China from 2004 to 2008
Xin LU ; Dong-ming JIANG ; Xiong ZHOU ; Yin-hui YANG ; Li-juan ZHANG ; Jian-guo HOU ; Guang-wen CAO ; Xiao-jie TAN
Shanghai Journal of Preventive Medicine 2021;33(10):887-892
Objective:To analyze bladder cancer mortality in China from 2004 to 2018. Methods:The dataset of bladder cancer mortality from 2004 to 2018, based on 605 national surveillance sites and regularly published by the Chinese Center for Disease Control and Prevention, was collected and age-standardized according to the demographic structure of China in 2000. The crude mortality rate (CMR), the age-standard mortality rate (ASMR), and the ratio of ASMRs of rural to urban areas(
8.Mortality analysis and time trend of prostate cancer in China from 2004 to 2008
Xin LU ; Dong-ming JIANG ; Ming HU ; Yin-hui YANG ; Li-juan ZHANG ; Jian-guo HOU ; Guang-wen CAO ; Xiao-jie TAN
Shanghai Journal of Preventive Medicine 2021;33(10):899-904
Objective:To obtain the temporal and spatial trends on prostate cancer mortality in China from 2004 to 2018. Methods:The data of prostate cancer mortality was collected from 605 national disease surveillance sites and age-standardized according to the demographic structure of China in 2000. The crude mortality rate (CMR) and age-standardized mortality rate (ASMR), and the ratio of ASMRs of rural to urban areas(
9.Dynamic cell transition and immune response landscapes of axolotl limb regeneration revealed by single-cell analysis.
Hanbo LI ; Xiaoyu WEI ; Li ZHOU ; Weiqi ZHANG ; Chen WANG ; Yang GUO ; Denghui LI ; Jianyang CHEN ; Tianbin LIU ; Yingying ZHANG ; Shuai MA ; Congyan WANG ; Fujian TAN ; Jiangshan XU ; Yang LIU ; Yue YUAN ; Liang CHEN ; Qiaoran WANG ; Jing QU ; Yue SHEN ; Shanshan LIU ; Guangyi FAN ; Longqi LIU ; Xin LIU ; Yong HOU ; Guang-Hui LIU ; Ying GU ; Xun XU
Protein & Cell 2021;12(1):57-66
Ambystoma mexicanum/immunology*
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Amputation
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Animals
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Biomarkers/metabolism*
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Blastomeres/immunology*
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Cell Lineage/immunology*
;
Connective Tissue Cells/immunology*
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Epithelial Cells/immunology*
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Forelimb
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Gene Expression
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High-Throughput Nucleotide Sequencing
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Humans
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Immunity
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Peroxiredoxins/immunology*
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Regeneration/immunology*
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Regenerative Medicine/methods*
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Single-Cell Analysis/methods*
10.Deep learning applied to two-dimensional color Doppler flow imaging ultrasound images significantly improves diagnostic performance in the classification of breast masses: a multicenter study.
Teng-Fei YU ; Wen HE ; Cong-Gui GAN ; Ming-Chang ZHAO ; Qiang ZHU ; Wei ZHANG ; Hui WANG ; Yu-Kun LUO ; Fang NIE ; Li-Jun YUAN ; Yong WANG ; Yan-Li GUO ; Jian-Jun YUAN ; Li-Tao RUAN ; Yi-Cheng WANG ; Rui-Fang ZHANG ; Hong-Xia ZHANG ; Bin NING ; Hai-Man SONG ; Shuai ZHENG ; Yi LI ; Yang GUANG
Chinese Medical Journal 2021;134(4):415-424
BACKGROUND:
The current deep learning diagnosis of breast masses is mainly reflected by the diagnosis of benign and malignant lesions. In China, breast masses are divided into four categories according to the treatment method: inflammatory masses, adenosis, benign tumors, and malignant tumors. These categorizations are important for guiding clinical treatment. In this study, we aimed to develop a convolutional neural network (CNN) for classification of these four breast mass types using ultrasound (US) images.
METHODS:
Taking breast biopsy or pathological examinations as the reference standard, CNNs were used to establish models for the four-way classification of 3623 breast cancer patients from 13 centers. The patients were randomly divided into training and test groups (n = 1810 vs. n = 1813). Separate models were created for two-dimensional (2D) images only, 2D and color Doppler flow imaging (2D-CDFI), and 2D-CDFI and pulsed wave Doppler (2D-CDFI-PW) images. The performance of these three models was compared using sensitivity, specificity, area under receiver operating characteristic curve (AUC), positive (PPV) and negative predictive values (NPV), positive (LR+) and negative likelihood ratios (LR-), and the performance of the 2D model was further compared between masses of different sizes with above statistical indicators, between images from different hospitals with AUC, and with the performance of 37 radiologists.
RESULTS:
The accuracies of the 2D, 2D-CDFI, and 2D-CDFI-PW models on the test set were 87.9%, 89.2%, and 88.7%, respectively. The AUCs for classification of benign tumors, malignant tumors, inflammatory masses, and adenosis were 0.90, 0.91, 0.90, and 0.89, respectively (95% confidence intervals [CIs], 0.87-0.91, 0.89-0.92, 0.87-0.91, and 0.86-0.90). The 2D-CDFI model showed better accuracy (89.2%) on the test set than the 2D (87.9%) and 2D-CDFI-PW (88.7%) models. The 2D model showed accuracy of 81.7% on breast masses ≤1 cm and 82.3% on breast masses >1 cm; there was a significant difference between the two groups (P < 0.001). The accuracy of the CNN classifications for the test set (89.2%) was significantly higher than that of all the radiologists (30%).
CONCLUSIONS:
The CNN may have high accuracy for classification of US images of breast masses and perform significantly better than human radiologists.
TRIAL REGISTRATION
Chictr.org, ChiCTR1900021375; http://www.chictr.org.cn/showproj.aspx?proj=33139.
Area Under Curve
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Breast/diagnostic imaging*
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Breast Neoplasms/diagnostic imaging*
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China
;
Deep Learning
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Humans
;
ROC Curve
;
Sensitivity and Specificity

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