1.Measurement and analysis of cochlea in children with congenital sensorineural hearing loss with normal inner ear structure.
Yy HONG ; W L LIU ; Q X ZENG ; S L GAO ; R Z LUO
Journal of Clinical Otorhinolaryngology Head and Neck Surgery 2018;32(17):1316-1318
The cochlea of children with congenital sensorineural hearing loss with normal inner ear structure was measured and analyzed by high-resolution temporal bone CT(HRCT) imaging technique,its application value before cochlear implantation was evaluated and the appropriate electrode was selected.We collected temporal bone HRCT images of 120 patients with congenital sensorineural hearing loss,according to gender divided into two groups,including 60 males and 60 females.We used the PACS software to measure the distance A(the largest distance from the round window to the lateral wall) and the distance H(height of the cochlea) and calculate the cochlear duct length. Reproducibility of these data were evaluated and the results between the different groups were compared.Measurement of parameter values between the intraobserver and interobserver showed great reproducibility. In the male children group,the measured values are shown as distance A[(8.55±0.31)mm],distance H[(4.57±0.28)mm]and the cochlear duct length(CDL)[(27.59±1.23)mm]; and in the female children group, the measured values are shown as distance A[(8.45±0.32)mm],distance H[(4.42±0.34)mm]and the cochlear duct length(CDL)[(27.20±1.17)mm.The A,H,and CDL of the male cochlea were greater than those of the female, the difference was statistically significant(<0.05).Measuring the distance A and distance H of the cochlea and calculating the cochlear duct length CDL can be used to select a suitable length of electrode or to customize a personalized electrode. This is a simple and effective assessment method before cochlear implantation..
2.Introduce a method for making cell blocks with low cell count.
Chinese Journal of Pathology 2023;52(11):1166-1167
3.Series of risk of bias assessment (5): Risk Of Bias In Non-randomized Studies-of Interventions (ROBINS-I).
F SUN ; L GAO ; Z R YANG ; S Y ZHAN
Chinese Journal of Epidemiology 2018;39(3):374-381
This paper summaries the Risk Of Bias In Non-randomized Studies-of Interventions (ROBINS-I), a tool for evaluating risk of bias about Non-randomized Studies-of Interventions (NRSI), and introduces the application of ROBINS-I in a published NRSI. According to the characteristics of NRSI, evaluation field and signaling question were designed in ROBINS-I to provide essential information about risk of bias for NRSI included in systematic reviews. ROBINS-I is the tool in assessment of risk of bias in observational studies and quasi-randomised studies. Although the tool has been used in practice to some extent, but it still needs further improvement. Attention should be paid to its update and progress.
Animals
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Bias
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Controlled Clinical Trials as Topic
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Humans
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Reproducibility of Results
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Risk Assessment/methods*
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Selection Bias
5.Effect of comprehensive intervention on hypertension control program in workplaces in China.
Y SHEN ; X WANG ; Z W WANG ; Z CHEN ; M L ZHU ; C CHANG ; R L GAO
Chinese Journal of Epidemiology 2019;40(2):212-217
Objective: To evaluate the effect of comprehensive intervention program on hypertension control in workplaces in China. Methods: The study design was a non-randomized controlled trial. First, 20 sub-centers were selected across China, then hypertension patients in 2-4 workplaces were selected as the intervention group, and hypertension patients in 1 comparable workplace selected, as the control group in each sub-center. The comprehensive intervention strategy which integrating workplace primary prevention of cardiovascular diseases and standardized management of hypertension was adopted in the intervention group for at least 2 years. Patients in the control group continued their usual health care, and only baseline data and 2-year data was collected. Analyses were conducted for hypertension patients in 30 stated-owned enterprises (SOEs), including 20 for the intervention group and 10 for the control group. The primary outcome was the control rate ofhypertension while the intervention effect (IE) was estimated by using the formula: differential value of intervention group[rate (mean)]-differential value of control group[rate (mean)]. Results: Overall, 2 622 patients completed the 2-year follow-up, of which 2 055 were in the intervention group and 567 in the control group, respectively. After 2 years of intervention, the IE on the level of SBP and DBP for intervention group and control group were-7.5 and-3.9 mmHg, respectively (P<0.05). BMI decreased by 0.4 kg/m(2), with the regular exercise rate as 36.4% and alcohol consumption rate decreased by 14.0%, respectively (P<0.05). The smoking rate decreased by 6.1% (P>0.05). The overall hypertension control rate was 25.0%, and further subgroup analysis showed that our intervention program was particularly effective for those with high education level (27.6%), white-collar employees (41.9%), and those from SOEs whose affiliated hospital had been separated away (41.9%). Conclusion: The comprehensive intervention program could greatly improve the hypertension control in the workplaces in China.
Antihypertensive Agents/therapeutic use*
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Blood Pressure Determination
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Cardiovascular Diseases/prevention & control*
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China
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Female
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Health Promotion/organization & administration*
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Humans
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Hypertension/prevention & control*
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Male
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Program Development
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Program Evaluation
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Smoking
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Workplace
6.Association between obesity and DNA methylation among the 7-16 year-old twins.
C X LI ; Y GAO ; W J GAO ; C Q YU ; J LYU ; R R LYU ; J L DUAN ; Y SUN ; X H GUO ; S F WANG ; B ZHOU ; G WANG ; W H CAO ; L M LI
Chinese Journal of Epidemiology 2018;39(4):443-448
Objective: On whole-genome scale, we tried to explore the correlation between obesity-related traits and DNA methylation sites, based on discordant monozygotic twin pairs. Methods: A total of 90 pairs of 6-17 year-old twins were recruited in Chaoyang district, Yanqing district and Fangshan district in Beijing in 2016. Information on twins was gathered through a self-designed questionnaire and results: from physical examination, including height, weight and waist circumference of the subjects under study. DNA methylation detection was chosen on the Illumina Human Methylation EPIC BeadChip. R 3.3.1 language was used to read the DNA methylation signal under quality control on samples and probes. Ebayes function of empirical Bayes paired moderated t-test was used to identify the differential methylated CpG sites (DMCs). VarFit function of empirical Bayes paired moderated Levene test was used to identify the differentially variables CpG sits (DVCs) in obese and normal groups. Results According to the obesity discordance criteria, we collected 23 pairs of twins (age range 7 to 16 years), including 12 male pairs. A total of 817 471 qualified CpG loci were included in the genome-wide correlation analysis. According to the significance level of FDR set as <0.05, no positive sites would meet this standard. When DMC CpG site cg05684382, with the smallest P value (1.26E-06) as on chromosome 12, the DVC CpG site cg26188191 with the smallest P value (6.44E-06) appeared in CMIP gene on chromosome 16. Conclusions: In this study, we analyzed the genome-wide DNA methylation and its correlation with obesity traits. After multiple testing corrections, no positive sites were found to have associated with obesity. However, results from the correlation analysis demonstrated sites cg05684382 (chr: 12) and cg26188191 (chr: 16) might have played a role in the development of obesity. This study provides a methodologic reference for the studies on discordance twins related problems.
Adolescent
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Bayes Theorem
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Beijing
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Body Weight
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Child
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DNA Methylation/genetics*
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Epigenesis, Genetic
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Female
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Genome-Wide Association Study
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Humans
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Male
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Obesity/genetics*
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Twins, Monozygotic
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Waist Circumference
7.Fujian Tulou Family Cohort Study: study design and characteristics of participants and pedigrees in baseline investigation.
H HUANG ; Y YE ; C L HUANG ; W J GAO ; M Y WANG ; W Y LI ; R ZHOU ; C Q YU ; J LYU ; X L WU ; X M HUANG ; W H CAO ; Y S YAN ; T WU ; L M LI
Chinese Journal of Epidemiology 2018;39(10):1402-1407
Objective: To describe the study design, the characteristics of participants as well as the pedigrees included in the baseline survey of Fujian Tulou Family Cohort Study. Methods: Fujian Tulou Family Cohort Study was a prospective open cohort study with a biological sample bank. A baseline survey was conducted in Tulou areas of Nanjing county in Fujian province from 2015 to 2018, including questionnaire survey, physical and biochemical indicators examinations, and blood sample collection in adults aged ≥18 years. In addition, family relationship of the participants was also recorded. The pedigree information of the juveniles under 18 years old were also collected. Results: The baseline survey included 2 727 individuals in two clans, of whom 2 373 (87.0%) were adults, and 2 126 participants completed questionnaires, physical examinations and biochemical tests. The average age of the 2 126 participants was (57.9±13.3) years, with 39.4% being males. The current smoking rates in male and female participants were 41.2% and 2.1%, respectively. The corresponding rates of current alcohol consumption were 19.0% and 2.6%. For common chronic diseases, the prevalence rates were 51.3% for hypertension, 9.7% for diabetes and 26.7% for hyperlipemia according to the self-reported disease diagnoses, health examination results and biochemical examination results in class Ⅱ or Ⅲ hospitals. Based on the family relationship information and genealogical data, 710 pedigrees were finally identified, consisting of 5 087 family members. The numbers of five, four, three, and two generations pedigrees were 3, 88, 238 and 381, respectively. The pairs of the first to the fifth degree relatives were 12 039, 2 662, 1 511, 202 and 31, respectively. Conclusion: The establishment of Fujian Tulou Family Cohort provides valuable resources for exploring the genetic risk factors, environmental risk factors and gene-environment interactions contributing to the risk of common chronic diseases.
Adolescent
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Adult
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Aged
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China/epidemiology*
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Chronic Disease/ethnology*
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Cohort Studies
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Diabetes Mellitus/ethnology*
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Family Health
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Female
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Gene-Environment Interaction
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Genetic Predisposition to Disease/ethnology*
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Humans
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Hyperlipidemias/ethnology*
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Hypertension/ethnology*
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Male
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Middle Aged
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Pedigree
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Prospective Studies
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Risk Factors
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Surveys and Questionnaires
8.Pulmonary anaplastic lymphoma kinase positive histiocytosis: report of a case.
W M XU ; Z R GAO ; X LI ; Y JIANG ; Q FENG ; L W RUAN ; Y Y WANG
Chinese Journal of Pathology 2023;52(11):1168-1170
9.DPHL:A DIA Pan-human Protein Mass Spectrometry Library for Robust Biomarker Discovery
Zhu TIANSHENG ; Zhu YI ; Xuan YUE ; Gao HUANHUAN ; Cai XUE ; Piersma R. SANDER ; Pham V. THANG ; Schelfhorst TIM ; Haas R.G.D. RICHARD ; Bijnsdorp V. IRENE ; Sun RUI ; Yue LIANG ; Ruan GUAN ; Zhang QIUSHI ; Hu MO ; Zhou YUE ; Winan J. Van Houdt ; Tessa Y.S. Le Large ; Cloos JACQUELINE ; Wojtuszkiewicz ANNA ; Koppers-Lalic DANIJELA ; B(o)ttger FRANZISKA ; Scheepbouwer CHANTAL ; Brakenhoff H. RUUD ; Geert J.L.H. van Leenders ; Ijzermans N.M. JAN ; Martens W.M. JOHN ; Steenbergen D.M. RENSKE ; Grieken C. NICOLE ; Selvarajan SATHIYAMOORTHY ; Mantoo SANGEETA ; Lee S. SZE ; Yeow J.Y. SERENE ; Alkaff M.F. SYED ; Xiang NAN ; Sun YAOTING ; Yi XIAO ; Dai SHAOZHENG ; Liu WEI ; Lu TIAN ; Wu ZHICHENG ; Liang XIAO ; Wang MAN ; Shao YINGKUAN ; Zheng XI ; Xu KAILUN ; Yang QIN ; Meng YIFAN ; Lu CONG ; Zhu JIANG ; Zheng JIN'E ; Wang BO ; Lou SAI ; Dai YIBEI ; Xu CHAO ; Yu CHENHUAN ; Ying HUAZHONG ; Lim K. TONY ; Wu JIANMIN ; Gao XIAOFEI ; Luan ZHONGZHI ; Teng XIAODONG ; Wu PENG ; Huang SHI'ANG ; Tao ZHIHUA ; Iyer G. NARAYANAN ; Zhou SHUIGENG ; Shao WENGUANG ; Lam HENRY ; Ma DING ; Ji JIAFU ; Kon L. OI ; Zheng SHU ; Aebersold RUEDI ; Jimenez R. CONNIE ; Guo TIANNAN
Genomics, Proteomics & Bioinformatics 2020;18(2):104-119
To address the increasing need for detecting and validating protein biomarkers in clinical specimens, mass spectrometry (MS)-based targeted proteomic techniques, including the selected reaction monitoring (SRM), parallel reaction monitoring (PRM), and massively parallel data-independent acquisition (DIA), have been developed. For optimal performance, they require the fragment ion spectra of targeted peptides as prior knowledge. In this report, we describe a MS pipe-line and spectral resource to support targeted proteomics studies for human tissue samples. To build the spectral resource, we integrated common open-source MS computational tools to assemble a freely accessible computational workflow based on Docker. We then applied the workflow to gen-erate DPHL, a comprehensive DIA pan-human library, from 1096 data-dependent acquisition (DDA) MS raw files for 16 types of cancer samples. This extensive spectral resource was then applied to a proteomic study of 17 prostate cancer (PCa) patients. Thereafter, PRM validation was applied to a larger study of 57 PCa patients and the differential expression of three proteins in prostate tumor was validated. As a second application, the DPHL spectral resource was applied to a study consisting of plasma samples from 19 diffuse large B cell lymphoma (DLBCL) patients and 18 healthy control subjects. Differentially expressed proteins between DLBCL patients and healthy control subjects were detected by DIA-MS and confirmed by PRM. These data demonstrate that the DPHL supports DIA and PRM MS pipelines for robust protein biomarker discovery. DPHL is freely accessible at https://www.iprox.org/page/project.html?id=IPX0001400000.