2.Characteristic pattern of human prostatic growth with age.
Shu-Jie XIA ; Xiao-Xin XU ; Jian-Bao TENG ; Chun-Xiao XU ; Xiao-Da TANG
Asian Journal of Andrology 2002;4(4):269-271
AIMTo study the characteristic pattern of the age-related growth of the human prostate gland.
METHODSThe volume (weight) of the prostate in 1,601 males, aged from newborn to 92 years, was determined by B-ultrasonography.
RESULTSProstatic volume determination by B-ultrasonography in 1601 males (1301 normal subjects and 300 BPH patients) pointed out that the age-stratified growth of human prostate could be categorized into 4 life stages: (1) the first slow growing phase (from newborn to 9 years): the prostate grows slowly at a rate of 0.14 g per year; (2) the first rapid growing phase (from 10 to 30 years): the prostate grows at a rate of 0.84 g per year; (3) the second slow growing phase (from 30 to 50 years), the prostate grows at a rate of 0.21 g per year; (4) the second rapid growing phase (from 50 to 90 years): the prostate grows at one of the following rates: in one group the growth rate is of 0.50 g per year and in the other 1.20 g per year, leading to benign prostatic hyperplasia (BPH).
CONCLUSIONThe volumes of the prostate are different in different age groups and it grows with age at different rates in four life phases. The prostate growth in phases can be expressed by the following equation: Y=19.36+1.36X'-0.58X'(2+0.33X'3), where Y = prostate volume, X = age (up to 70 years), X'=(X-35.5)/10.
Adolescent ; Adult ; Aged ; Aged, 80 and over ; Aging ; Child ; Child, Preschool ; Humans ; Infant ; Infant, Newborn ; Male ; Middle Aged ; Organ Size ; Prostate ; anatomy & histology ; diagnostic imaging ; growth & development ; Ultrasonography
3. Determination of lithium and its compounds in workplace air by inductively coupled plasma-mass spectrometry
Xiao-zuo XU ; Hong-hua LI ; Ying-xin CHEN ; Zhi-teng DAI ; Xing-fang LI
China Occupational Medicine 2021;48(04):431-436
OBJECTIVE: To evaluate the suitability of two pretreatment methods, the nitric acid digestion method and the elution method, and two measurement modes of inductively coupled plasma-mass spectrometry(ICP-MS), the No gas mode and the helium collision(He) mode, for the determination of lithium and its compounds in the workplace air. METHODS: We collected lithium and its compounds in the air of the workplace using the microporous filter membrane, and two pretreatment methods, the nitric acid digestion and elution methods were used for processing, and measured with the No gas mode and the He mode of ICP-MS. RESULTS: The good linearity range of lithium concentration in No gas mode and He mode of ICP-MS method was 0.00-500.00 μg/L, and the correlation coefficient was 0.999. The detection limit and the lower limit of quantification of lithium were 0.04 and 0.13 μg/L respectively in the No gas mode. In He gas mode: they were 0.12 and 0.39 μg/L respectively. Using the nitric acid digestion method for pre-treatment, the recovery rate of lithium addition was 96.9%-104.9%; the within-run and the between-run relative standard deviations were 3.3%-5.0% and 2.9%-5.3% respectively. Using the elution method for pre-treatment, the recovery rate of lithium addition was 97.6%-102.1%; the within-run and the between-run relative standard deviation were 3.3%-4.6% and 3.4%-4.8%, respectively. The sample could be stored at room temperature for at least 14 days. CONCLUSION: The ICP-MS method can be used as a new technology for detecting lithium and its compounds in the air of workplace. It is recommended that the elution method and the No gas mode be the first choice when measuring lithium and its compounds.
4.Expression of CD80 and CD86 on dendritic cells of patients with immune related pancytopenia and its clinical significance.
Guang-shuai TENG ; Rong FU ; Hui LIU ; Hong-lei WANG ; Yi-hao WANG ; Er-bao RUAN ; Wen QU ; Yong LIANG ; Guo-jin WANG ; Xiao-ming WANG ; Hong LIU ; Yu-hong WU ; Jia SONG ; Hua-quan WANG ; Li-min XING ; Jing GUAN ; Jun WANG ; Li-juan LI ; Zong-hong SHAO
Chinese Journal of Hematology 2012;33(10):865-868
OBJECTIVETo investigate the function of dendritic cells (DC) of patients with immune related pancytopenia (IRP) and explore the role of DC in IRP.
METHODSThe expression of CD80 and CD86 on myeloid DC (mDC, Lin-HLA-DR(+) CD11c(+) cells) and plasmacytoid DC (pDC, Lin-HLA-DR(+) CD123(+) cells) of 65 IRP (37 untreated and 28 remitted) patients and 17 healthy controls were analyzed by flow cytometry.
RESULTSThe expression of CD86 on pDC was (82.47 ± 13.17)% in untreated group and (60.08 ± 14.29)% in remission group, which were significantly higher than that of controls (47.95 ± 18.59)% (P < 0.05), while the expression in untreated group was higher than that of remission group (P < 0.05). The expression of CD80 on pDC was (6.31 ± 4.49)% in untreated group, which was significantly higher than that of remitted patients (3.09 ± 2.93)% and controls (2.33 ± 2.25)% (P < 0.05). The expression of CD86 on mDC was (97.06 ± 4.82)% in untreated group and (91.35 ± 12.20)% in control group, while the expression in untreated group was higher than that of control group (P < 0.05). The expression of CD80 on mDC was (6.20 ± 5.44)% in untreated group and (3.97 ± 3.24)% in remission group, which were significantly higher than that of controls (1.86 ± 1.73)% (P < 0.05). The expression of CD86 on pDC was negatively correlated to Th1/Th2 (r = -0.733, P < 0.05), it was positively correlated to the antibody on membrane of BMMNC (r = 0.283, P < 0.05) and the quantity of CD5(+)B cells (r = 0.436, P < 0.05), while it was negatively correlated to the level of hemoglobin, platelets and white blood cells (r = -0.539, P < 0.05; r = -0.519, P < 0.05; r = -0.567, P < 0.05, respectively). The expression of CD80 on pDC was negatively correlated to the level of hemoglobin and platelets (r = -0.431, P < 0.05; r = -0.464, P < 0.05).
CONCLUSIONThe function of pDC in PB of IRP were strengthened, which was relevant to the immunopathogenesis of IRP.
Adolescent ; Adult ; Autoimmune Diseases ; complications ; B7-1 Antigen ; metabolism ; B7-2 Antigen ; metabolism ; Case-Control Studies ; Child ; Child, Preschool ; Dendritic Cells ; metabolism ; Female ; Flow Cytometry ; Humans ; Male ; Middle Aged ; Pancytopenia ; blood ; etiology ; pathology ; Young Adult
5.Quantity and subtypes of dendritic cells in patients with immune related pancytopenia and their clinical significance.
Guang-Shuai TENG ; Rong FU ; Hui LIU ; Hong-Lei WANG ; Yi-Hao WANG ; Er-Bao RUAN ; Wen QÜ ; Yong LIANG ; Guo-Jin WANG ; Xiao-Ming WANG ; Hong LIU ; Yu-Hong WU ; Jia SONG ; Hua-Quan WANG ; Li-Min XING ; Jing GUAN ; Jun WANG ; Li-Juan LI ; Zong-Hong SHAO
Journal of Experimental Hematology 2012;20(3):722-726
This study was aimed to investigate the quantity and subtypes of dendritic cells (DC) in patients with immune related pancytopenia (IRP) and to explore the role of DC in pathogenesis of IRP. The quantity of plasmacytoid dendritic cells (pDC, Lin(-)HLA-DR(+) CD123(+) cells) and myeloid dendritic cells (mDC, Lin(-)HLA-DR(+) CD11c(+)cells) in peripheral blood of 65 patients with IRP (37 new diagnosed and 28 remitted) and 17 healthy controls were analyzed by flow cytometry. The results indicated that the ratio of pDC in peripheral blood mononuclear cells (PBMNC) was (0.91 ± 064)% in new diagnosed group, which was significantly higher than that in remission group (0.39 ± 0.11)% and control group (0.29 ± 0.13)% (P < 0.01), while this ratio of pDC in remission group was higher than that in control group (P < 0.05). The ratio of mDC in PBMNC was (0.21 ± 0.20)% in new diagnosed group and (0.34 ± 0.21)% in remission group respectively, there was no statistical difference as compared with control group (0.29 ± 0.09)% (P > 0.05). The ratio of pDC to mDC in new diagnosed group was 6.75 ± 7.11, which was significantly higher than that in remission group (1.55 ± 0.93) and control group (1.07 ± 0.43, P < 0.01), there was no statistical difference between the ratio of remission group and control group (P > 0.05). The ratio of pDC in PBMNC of IRP group negatively correlated to ratio of Th1/Th2 (r = -0.347, P < 0.05), and positively correlated to the ratio of auto-antibody on membrane of BMMNC (r = 0.606, P < 0.05) and to the quantity of CD5(+)B cells (r = 0.709, P < 0.05), while it negatively correlated to the levels of hemoglobin (r = -0.381, P < 0.01) and platelets (r = -0.343, P < 0.01). The ratio of mDC in PBMNC positively correlated to the ratio of Th1/Th2 (r = 0.595, P < 0.05) and the level of hemoglobin (r = 0.292, P < 0.05). The ratio of pDC/mDC negatively correlated to ratio of Th1/Th2 (r = -0.395, P < 0.05), it positively correlated to the level of antibody on membrane of BMMNC (r = 0.421, P < 0.05) and the quantity of CD5(+)B cells (r = 0.423, P < 0.05), while it negatively correlated to the levels of hemoglobin (r = -0.304, P < 0.05) and platelets (r = -0.287, P < 0.05). It is concluded that the quantity of pDC in peripheral blood of IRP patients increases, which may be related to the immunopathogenesis of IRP.
Adolescent
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Adult
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Blood Cell Count
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Case-Control Studies
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Child
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Child, Preschool
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Dendritic Cells
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cytology
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immunology
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Female
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Flow Cytometry
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Humans
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Male
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Middle Aged
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Pancytopenia
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blood
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immunology
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Young Adult
6.Quality evaluation of Yanyangke Mixture
Xiao-Lian LIANG ; Xiong-Bin GUI ; Yong CHEN ; Zheng-Teng YANG ; Jia-Bao MA ; Feng-Xian ZHAO ; Hai-Mei SONG ; Jia-Ru FENG
Chinese Traditional Patent Medicine 2024;46(6):1781-1787
AIM To evaluate the quality of Yanyangke Mixture.METHODS The HPLC fingerprints were established,after which cluster analysis,principal component analysis and partial least squares discriminant analysis were performed.The contents of liquiritin,rosmarinic acid,sheganoside,irisgenin,honokiol,monoammonium glycyrrhizinate,irisflorentin,isoliquiritin and magnolol were determined,the analysis was performed on a 35 ℃ thermostatic Agilent ZORBAX SB-C18 column(5 μm,250 mmx4.6 mm),with the mobile phase comprising of 0.1%phosphoric acid-acetonitrile flowing at 1 mL/min in a gradient elution manner,and multi-wavelength detection was adopted.RESULTS There were ten common peaks in the fingerprints for twelve batches of samples with the similarities of more than 0.9.Various batches of samples were clustered into three types,three principal components displayed the acumulative variance contribution rate of 87.448%,peaks 5、14(honokiol),3(liquiritin),11(monoammonium glycyrrhizinate)and 15(asarinin)were quality markers.Nine constituents showed good linear relationships within their own ranges(r>0.999 0),whose average recoveries were 98.5%-103.6%with the RSDs of 0.92%-1.7%.CONCLUSION This stable and reliable method can provide a basis for the quality control of Yanyangke Mixture.
7.Effect of Tongfengning on Expression of Renal Urate Transporter in Hyperuricemia Rats
Tang-yan CAI ; Yan XIAO ; Jie-mei GUO ; Xiao MAO ; Jian-hui WANG ; Bao-lin LI ; Fang-zhou TENG ; Jian-ping LIN ; You-xin SU
Chinese Journal of Experimental Traditional Medical Formulae 2020;26(16):79-86
Objective:Study on the mechanism of Tongfengning in promoting uric acid excretion from the perspective of urate transporter and mRNA in renal of hyperuricemia (HUA) model rats. Method:The 80 sprague-dawley rats were randomly divided into two groups, the blank group with 20 rats and the model group with 60 rats. Rats in model group were established as hyperuricemia (HUA) models by intraperitoneal injection of oxonic acid potassium salt (OAPS) and intragastric administration ethambutol hydrochloride (EMB) once a day for 21 days. After successful modeling, rats in the model group were divided into the model group, Tongfengning group and benzbromarone group, with 20 rats per group. Tongfengning solution (15.3 g·kg-1·d-1) was administered to the Tongfengning group by gavage feeding. Rats in benzbromarone group were administered 5.2 mg·kg-1·d-1 benzbromarone suspension, whereas those in the blank group and the model group were administered the equivalent amount of normal saline for 21 days. On days 14th and 21st following intervention, urine, blood, and kidney were collected from rats, serum uric acid (SUA) and urinary uric acid (UUA) levels, blood urea nitrogenand(BUN) and creatinine(CRE) levels and the expression of urate transporter proteins and their mRNAs of all rats were detected by enzyme-colorimetric method, urease method, sarcosine oxidase method, Western blot and Real-time quantitative PCR(Real-time PCR), respectively. Result:On days 14th and 21th following intervention, compared with blank group, SUA, CRE and BUN levels, and urate transporter 1(URAT1),glucose transporter 9(GLUT9) expression increased(
8.Comparative analysis of work-related musculoskeletal disorders catalogues.
Teng Long YAN ; Chu Yi ZHANG ; Xiao Jun ZHU ; Dong Sheng NIU ; Ting Ting XIE ; Xiao Wen DING ; Bao Long LIU ; Jue LI
Chinese Journal of Industrial Hygiene and Occupational Diseases 2022;40(4):311-315
Work-related musculoskeletal disorders (WMSDs) refer to musculoskeletal disorders caused by work or work as the main cause, which are characterized by high prevalence and heavy burden of disease as a global problem. The classification and catalog of occupational diseases is of great significance for guiding the prevention and control of occupational diseases and safeguarding the rights and interests of workers. The types of WMSDs included in the list of occupational diseases vary greatly from country to country, and the regulations on specific pathogenic factors are also inconsistent. By sorting out and analyzing the lists and characteristics of WMSDs at home and abroad, and using the International Statistical Classification of Diseases and Related Health Problems (ICD-10) in occupational health to standardize of WMSDs in various countries, which would lay the foundation for future multi-country WMSDs occupational health registration and disease burden research, and provide a reference for China to revise the WMSDs list.
Humans
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Musculoskeletal Diseases/prevention & control*
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Occupational Diseases/prevention & control*
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Prevalence
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Risk Factors
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Surveys and Questionnaires
9.Clinical significance of HLA-A, -B, -C, -DRB1, -DQB1 haplotype gene frequencies.
Lu Yao CHEN ; Yang LI ; Teng Teng ZHANG ; Xiao Jing BAO ; Xiao Ni YUAN ; Ying LI ; Ling Jie LI ; Tian Jie YANG ; Jun HE
Chinese Journal of Hematology 2019;40(12):1026-1030
Objective: To analyze family-based haplotype frequencies of HLA-A, -B, -C, -DRB1 and -DQB1 genes and their clinical significance. Methods: The data of HLA genotyping in 3568 families undergoing related haploidentical transplantation between 2012 and 2017 at the First Affiliated Hospital of Soochow University were retrospectively evaluated. The HLA genotyping was performed by PCR amplification with sequence-based typing (PCR-SBT) and sequence-specific oligonucleotide probe (PCR-SSOP) methods. The family genetic analysis and haplotype frequencies were also investigated. Results: All the families were divided into 3 groups, including group1 of 1 422 entire families; group2 of 1 310 patients and either of their parents or one of their children; group3 of 836 patients and their HLA≥5/10 matched sibling donors. In the haplotypes with frequencies greater than 0.1% in group1+ group2, the frequency of A*11∶01-B*40∶01-C*03∶04-DRB1*11∶01-DQB1*03∶01, A*02∶07-B*51∶01-C*14∶02-DRB1*09:01-DQB1*03∶03 were significantly different between group1 and group2 (P=0.029, 0.033) . The frequency of A*11∶01-B*46∶01-C*01∶02∶01G-DRB1*09∶01-DQB1*03∶03 was significantly different between group1 and group3 (P=0.035) . The frequency of A*02∶01-B*40∶01-C*07∶02-DRB1*09∶01-DQB1*03∶03 was significantly different between group1 and group2 (P=0.034) , or group1 and group3 (P=0.034) . The frequency of A*24∶02-B*13∶01-C*03∶04-DRB1*12∶02-DQB1*03:01 was significantly different between group2 and group3 (P=0.046) . Conclusion: In this study, we summarize the prevalence of haplotype frequencies in terms of HLA-A, -B, -C, -DRB1 and-DQB1. Based on the database of family haplotype analysis, patients and donor candidates are sorted with matched HLA genotype while unmatched HLA haplotype. Even in patients without entire family information, HLA haplotype analysis assists in choosing the optimal related or unrelated donors.
Alleles
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Child
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Gene Frequency
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HLA-A Antigens
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HLA-B Antigens
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HLA-C Antigens
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HLA-DQ beta-Chains
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HLA-DRB1 Chains
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Haplotypes
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Humans
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Retrospective Studies
10.The Global Landscape of SARS-CoV-2 Genomes, Variants, and Haplotypes in 2019nCoVR
Song SHUHUI ; Ma LINA ; Zou DONG ; Tian DONGMEI ; Li CUIPING ; Zhu JUNWEI ; Chen MEILI ; Wang ANKE ; Ma YINGKE ; Li MENGWEI ; Teng XUFEI ; Cui YING ; Duan GUANGYA ; Zhang MOCHEN ; Jin TONG ; Shi CHENGMIN ; Du ZHENGLIN ; Zhang YADONG ; Liu CHUANDONG ; Li RUJIAO ; Zeng JINGYAO ; Hao LILI ; Jiang SHUAI ; Chen HUA ; Han DALI ; Xiao JINGFA ; Zhang ZHANG ; Zhao WENMING ; Xue YONGBIAO ; Bao YIMING
Genomics, Proteomics & Bioinformatics 2020;18(6):749-759
On January 22, 2020, China National Center for Bioinformation (CNCB) released the 2019 Novel Coronavirus Resource (2019nCoVR), an open-access information resource for the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). 2019nCoVR features a comprehensive integra-tion of sequence and clinical information for all publicly available SARS-CoV-2 isolates, which are manually curated with value-added annotations and quality evaluated by an automated in-house pipeline. Of particular note, 2019nCoVR offers systematic analyses to generate a dynamic landscape of SARS-CoV-2 genomic variations at a global scale. It provides all identified variants and their detailed statistics for each virus isolate, and congregates the quality score, functional annotation,and population frequency for each variant. Spatiotemporal change for each variant can be visualized and historical viral haplotype network maps for the course of the outbreak are also generated based on all complete and high-quality genomes available. Moreover, 2019nCoVR provides a full collection of SARS-CoV-2 relevant literature on the coronavirus disease 2019 (COVID-19), including published papers from PubMed as well as preprints from services such as bioRxiv and medRxiv through Europe PMC. Furthermore, by linking with relevant databases in CNCB, 2019nCoVR offers data submission services for raw sequence reads and assembled genomes, and data sharing with NCBI. Collectively, SARS-CoV-2 is updated daily to collect the latest information on genome sequences, variants, hap-lotypes, and literature for a timely reflection, making 2019nCoVR a valuable resource for the global research community. 2019nCoVR is accessible at https://bigd.big.ac.cn/ncov/.