3.Hepatic fibrinogen storage disease: a clinicopathological analysis of two cases.
Z C YIN ; L CHEN ; W X WANG ; L WANG ; X T HOU ; H ZHANG ; F LI ; S L CHE
Chinese Journal of Pathology 2023;52(12):1275-1277
4.Proteomic study on the damage of learning and memory ability of rat offspring caused by chronic stress during pregnancy.
Y J FU ; S Z GUAN ; F ZHAO ; H Y LIU ; X H CHEN ; F Q QI ; Z H LIU
Chinese Journal of Industrial Hygiene and Occupational Diseases 2021;39(7):481-486
Animals
;
Female
;
Hippocampus
;
Learning
;
Male
;
Maze Learning
;
Neurons
;
Pregnancy
;
Proteomics
;
Rats
;
Rats, Sprague-Dawley
5.Analysis of clinical characteristics of 17 patients with inhalation dimethyl sulfate poisoning.
Y L QIU ; F R TAN ; Z XU ; F F CHEN
Chinese Journal of Industrial Hygiene and Occupational Diseases 2021;39(7):531-534
This paper analyzed the clinical data of 17 patients with inhalation dimethyl sulfate poisoning in Changzhou Third People's Hospital, in order to understand the clinical characteristics, treatment and prognosis of patients with inhalation dimethyl sulfate poisoning, and guide clinicians to make effective measures in time. Dimethyl sulfate poisoning progresses rapidly and dangerously. The prognosis is usually better if the patients are separated from the toxic environment as soon as possible, given glucocorticoids in early and short-term, closely observed respiratory tract injury, and treated with endotracheal intubation and invasive mechanical ventilation when necessary.
Humans
;
Respiration, Artificial
;
Sulfuric Acid Esters
6.Dendritic cell TLR4 induces Th1-type immune response against Cryptosporidium parvum infection
Xu, Q.M. ; Fang, F. ; Wu, S.H. ; Shi, Z.Q. ; Liu, Z. ; Zhao, Y.J. ; Zheng, H.W. ; Lu, G.X. ; Kong, H.R. ; Wang, G.J. ; Ai, L. ; Chen, M.X. ; Chen, J.X.
Tropical Biomedicine 2021;38(No.1):172-179
The objective of this study was to investigate the mechanism of Toll-like receptor (TLR4)-
mediated dendritic cell (DC) immune against Cryptosporidium parvum infection. C. parvum
sporozoites were labeled with 5,6-carboxyfluorescein diacetate succinimidyl ester. Murine
bone marrow-derived DCs were isolated, and divided into TLR4 antibody blocking (TAB;
infected with 2 × 105 labeled sporozoites and 0.5 μg TLR4 blocking antibody), TLR4 antibody
unblocking (TAU; infected with 2 × 105 labeled sporozoites), and blank control (BC; with 1.5
mL Roswell Park Memorial Institute 1640 medium) groups. The adhesion of Cryptosporidium
sporozoites to DCs and CD11c+ levels were examined by fluorescence microscopy and flow
cytometry. Male KM mice were orally injected with C. parvum. The proliferation of T lymphocytes
in spleen, expression of cytokines in peripheral blood, and TLR4 distribution features in
different organs were further determined by immunohistochemistry. A significantly higher
expression of CD11c+ and higher C. parvum sporozoite adhesion were found in the TAU group
compared with other groups. The expression of CD4+CD8-
/CD8+CD4- in the spleen were
obviously differences between the TAB and TAU groups. The expression of TLR4, interleukin
IL-4, IL-12, IL-18 and IFN-γ improved in the TAU group compared with TAB group. Higher
expression of TLR4 was detected in the lymph nodes of mice in the TAU group, with pathological
changes in the small intestine. Hence, TLR4 could mediate DCs to recognize C. parvum,
inducing Th1 immune reaction to control C. parvum infection.
7.Study on genetic structure differences and adjustment strategies in different areas of China.
M ZHU ; J LYU ; C Q YU ; G F JIN ; Y GUO ; Z BIAN ; W ROBIN ; M IONA ; Z M CHEN ; H B SHEN ; Z B HU ; L M LI
Chinese Journal of Epidemiology 2019;40(1):20-25
Objective: To describe the genetic structure of populations in different areas of China, and explore the effects of different strategies to control the confounding factors of the genetic structure in cohort studies. Methods: By using the genome-wide association study (GWAS) on data of 4 500 samples from 10 areas of the China Kadoorie Biobank (CKB), we performed principal components analysis to extract the first and second principal components of the samples for the component two-dimensional diagram generation, and then compared them with the source of sample area to analyze the characteristics of genetic structure of the samples from different areas of China. Based on the CKB cohort data, a simulation data set with cluster sample characteristics such as genetic structure differences and extensive kinship was generated; and the effects of different analysis strategies including traditional analysis scheme and mixed linear model on the inflation factor (λ) were evaluated. Results: There were significant genetic structure differences in different areas of China. Distribution of the principal components of the population genetic structure was basically consistent with the geographical distribution of the project area. The first principal component corresponds to the latitude of different areas, and the second principal component corresponds to the longitude of different areas. The generated simulation data showed high false positive rate (λ=1.16), even if the principal components of the genetic structure was adjusted or the area specific subgroup analysis was performed, λ could not be effectively controlled (λ>1.05); while, by using a mixed linear model adjusting for the kinship matrix, λ was effectively controlled regardless of whether the genetic structure principal component was further adjusted (λ=0.99). Conclusions: There were large differences in genetic structure among populations in different areas of China. In molecular epidemiology studies, bias caused by population genetic structure needs to be carefully treated. For large cohort data with complex genetic structure and extensive kinship, it is necessary to use a mixed linear model for association analysis.
China
;
Genetic Structures
;
Genome-Wide Association Study
;
Humans
;
Linear Models
;
Principal Component Analysis
8.Association between high-sensitivity C-reactive protein and both cardiovascular, total mortality events in middle-aged Chinese adults.
Y DONG ; Z W WANG ; X WANG ; Y TIAN ; L F ZHANG ; Z CHEN ; H Q CAO
Chinese Journal of Epidemiology 2018;39(4):428-432
Objective: To estimate the association between high-sensitivity C-reactive protein (hs-CRP) and cardiovascular events as well as all-cause mortality events. Methods: During 2009- 2010, out of the 11 623 individuals, 1 000 participants aged 35-64 years, were recruited and divided into 12 age-groups, to have received a study on CVD risk factors. Information on the risk factors of cardiovascular diseases was also collected. Fasting blood sample was gathered for all the participants, with hs-CRP tested. Participants in 7 out of the 12 sites were followed, with 6.21 years (36 075 person-years) as the median follow-up period. Cardiovascular and all-cause mortality events were collected. A total of 6 177 participants had been followed after excluding participants who had baseline infections, or did not take hs-CRP test/physical examination at the baseline. Finally, 5 984 participants were included for analysis. Participants were categorized into three groups based on the hs-CRP (mg/L) values: <1, 1-3 and >3, respectively. Cox proportional hazards regression model was used to analyze the relationships between hs-CRP with cardiovascular events or all-cause mortality events, after adjusting for confounding factors. Results: Mean age of the participants was 50.2 years. The incidence rates of cardiovascular disease events were 3.6/1 000 person-years, 7.1/1 000 person-years,and 10.4/1 000 person-years among three groups and 3.0/1 000 person-years, 5.7/1 000 person-years, 9.1/1 000 person-years for all-cause mortality events, respectively. After adjusting for confounding factors, the hazard risks (HR) for cardiovascular events were 1.33 (95%CI: 0.95-1.84) in the hs-CRP 1-3 mg/L group and 1.76 (95%CI: 1.20-2.60) in the hs-CRP>3 mg/L group when comparing with the hs-CRP<1 mg/L group (trend test P=0.003). The HRs for all-cause mortality events were 1.76 (95%CI: 1.23-2.54) and 2.64 (95%CI: 1.74-4.01) (trend test P<0.001), respectively. Conclusion: Hs-CRP appeared an independent predictor for cardiovascular events and all-cause mortality events.
Adult
;
Asian People
;
C-Reactive Protein/metabolism*
;
Cardiovascular Diseases/mortality*
;
China/epidemiology*
;
Female
;
Hospital Mortality
;
Humans
;
Incidence
;
Male
;
Middle Aged
;
Proportional Hazards Models
;
Risk Factors
9.Progress of research on the association between air pollution and prevalence of major cancers.
Z X YANG ; H M ZENG ; R S ZHENG ; C F XIA ; S W ZHANG ; W Q CHEN
Chinese Journal of Epidemiology 2018;39(4):532-535
Being an undisputed risk factor of cancer, air pollution is posing a huge threat to the health on human beings. In this article, we introduced the composition of air pollution, and the standards on air quality which was set by both World Health Organization and the Chinese government. We also summarized the most recent research findings on the association between air pollution and the risk of lung, breast, bladder and other major cancers.
Air Pollutants/toxicity*
;
Air Pollution/adverse effects*
;
Humans
;
Neoplasms/epidemiology*
;
Prevalence
;
Research/trends*
;
Risk Factors
10.Association between total cholesterol and risk of lung cancer incidence in men: a prospective cohort study.
Z Y LYU ; N LI ; G WANG ; K SU ; F LI ; L W GUO ; X S FENG ; L P WEI ; H D CHEN ; Y H CHEN ; F W TAN ; W J YANG ; S H CHEN ; J S REN ; J F SHI ; H CUI ; M DAI ; S L WU ; J HE
Chinese Journal of Epidemiology 2018;39(5):604-608
Objective: To assess the association and intensity of baseline TC level with the incidence of lung cancer in men in China. Methods: Since May 2006, all the male workers, including the employees and the retirees in Kailuan Group were recruited in the Kailuan male dynamic cohort study. Information about demographics, medical history, anthropometry and TC level were collected at the baseline interview, as well as the information of newly-diagnosed lung cancer cases during the follow-up period. According to guidelines for blood lipids in Chinese adults and the distribution in the population, TC level was classified into five groups as followed: <160, 160-, 180-, 200- and ≥240 mg/dl, with the second quintile group (160- mg/dl) serving as the referent category. Cox proportional hazards regression model and restricted cubic spline (RCS) model were used to evaluate the association and the nonlinear association between baseline TC level and the risk of lung cancer in the men. Results: By December 31, 2014, for the 109 884 men, a follow up of 763 819.25 person-years was made with a median follow-up period of 7.88 years. During the follow up, 808 lung cancer cases were identified. After adjustment for age, education level, income level, smoking status, alcohol consumption level, history of dust exposure, FPG level and BMI, HR (95%CI) of lung cancer for men with lower TC level (<160 mg/dl) and higher TC level (≥240 mg/dl) were 1.34 (1.04- 1.72) and 1.45 (1.09-1.92), respectively, compared with men with normal TC level (160- mg/dl). The results didn't change significantly after exclusion of newly diagnosed cancer cases within 2 years of follow up and subjects with the history of hyperlipidemia. Conclusion: Our results showed that TC might be associated with higher risk of lung cancer. Men with lower TC level or higher TC level had higher risk for lung cancer. Keep moderate TC level might be one of the effective precaution for the prevention of lung cancer.
Adult
;
Asian People
;
China/epidemiology*
;
Cholesterol/blood*
;
Cohort Studies
;
Humans
;
Incidence
;
Lipids
;
Lung Neoplasms/ethnology*
;
Male
;
Proportional Hazards Models
;
Prospective Studies
;
Risk Factors


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