1.Key Social Determinants to Narrow the Gap between Health-adjusted Life Expectancy and Life Expectancy in Megacities.
Jun Yan XI ; Yuan Yuan CHEN ; Yu Qin ZHANG ; Ao LUO ; Zhi Cheng DU ; Bo Heng LIANG ; Hang DONG ; Xiao LIN ; Peng Zhe QIN ; Yuan Tao HAO
Biomedical and Environmental Sciences 2022;35(9):773-781
OBJECTIVE:
Improvement in the quality of life is reflected in the narrowing of the gap between health-adjusted life expectancy (HALE) and life expectancy (LE). The effect of megacity expansion on narrowing the gap is rarely reported. This study aimed to disclose this potential relationship.
METHODS:
Annual life tables were constructed from identified death records and population counts from multiple administrative sources in Guangzhou, China, from 2010 to 2020. Joinpoint regression was used to evaluate the temporal trend. Generalized principal component analysis and multilevel models were applied to examine the county-level association between the gap and social determinants.
RESULTS:
Although LE and HALE in megacities are increasing steadily, their gap is widening. Socio-economic and health services are guaranteed to narrow this gap. Increasing personal wealth, a growing number of newborns and healthy immigrants, high urbanization, and healthy aging have helped in narrowing this gap.
CONCLUSION
In megacities, parallel LE and HALE growth should be highly considered to narrow their gap. Multiple social determinants need to be integrated as a whole to formulate public health plans.
Cities
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Health Status
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Humans
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Infant, Newborn
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Life Expectancy
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Quality of Life
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Social Determinants of Health
2.Health-adjusted life expectancy in residents in Guangzhou, 2010-2019.
Jun Yan XI ; Yuan Yuan CHEN ; Xiao LIN ; Hang DONG ; Bo Heng LIANG ; Yu Qin ZHANG ; Li Chang CHEN ; Ao LUO ; Peng Zhe QIN ; Yuantao HAO
Chinese Journal of Epidemiology 2022;43(9):1415-1422
Objective: To analyze the spatiotemporal distribution of life expectancy (LE) and health-adjusted life expectancy (HALE) in Guangzhou from 2010 to 2019, and quantize the comprehensive impact of different causes and sequelae on health. Methods: The LE, HALE, and cause-excluded health adjusted life expectancy (CEHALE) were estimated using cause-of-death surveillance datasets from Guangzhou Municipal Center for Disease Control and Prevention from 2010 to 2019 and open data from the Global Burden of Disease Study. Joinpoint log-linear regression model was used to analyze the temporal trend and described spatial distribution. Results: In 2019, the LE in residents in Guangzhou was 82.9 years (80.1 years in men and 85.9 years in women), and the HALE was 75.6 years (74.0 years in men and 77.3 years in women). Compared with the urban fringe, the central urban area had higher LE and HALE, and the differences between LE and HALE were small. The LE and HALE in Guangzhou showed an increasing trend from 2010 to 2019. The LE increased by 2.8 years (AAPC=0.4, 95%CI: 0.3-0.4), with the increase of 2.8 years in men and 2.9 years in women. The HALE increased by 2.4 years (AAPC=0.3, 95%CI: 0.3-0.4), with the increase of 2.5 years in men and 2.2 years in women. The median healthy life lost due to communicable, maternal, neonatal, and nutritional diseases was 6.2 years (AAPC=-4.2, 95%CI: -5.3--3.1), while the median healthy life lost due to non-communicable diseases was 14.7 years (AAPC=1.6, 95%CI: 0.9-2.3), the median healthy life expectancy reduced by injury was 6.3 years (AAPC=-3.5, 95%CI: -4.5--2.6). Musculoskeletal disorders, skin and subcutaneous diseases, cardiovascular diseases, nutritional deficiencies, diabetes and kidney diseases were the top five diseases causing healthy life expectancy loss. Conclusion: The LE and HALE in residents in Guangzhou increased steadily from 2010 to 2019, but the quality of life in the urban fringe was lower than that of the central urban area. Non-communicable diseases were the leading causes of healthy life expectancy loss. Health policies and prevention measures should be developed according to area specific characteristics, and social medical resources should be rationally allocated to key diseases to reduce their disease burden.
Cost of Illness
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Female
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Health Status
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Humans
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Infant, Newborn
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Life Expectancy
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Male
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Noncommunicable Diseases
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Quality of Life
3.Measurement and clinical significance of lumbar pedicle CT imaging parameters
Zhe-Heng GUAN ; Hui-Lin YANG ; Zong-Ping LUO ; Xu-Dong CUI ; Xiao-Yu PAN ; Mo-Qi YAN ; Yi-Fan WANG ; Ji-Hang LU
Chinese Journal of Tissue Engineering Research 2018;22(11):1743-1748
BACKGROUND: Although more and more accurate and personalized detection and assistive tools are used in the field of orthopedics with the development of technology, the preoperative CT is still the first-line examination choice of many orthopedic surgeons. Therefore, to master the lumbar spine CT imaging performance is not only the basis of spine surgeons, but also the cornerstone of spinal nail surgery. OBJECTIVE: Through CT imaging technique, we measured the parameters of lumbar pedicle imaging, and understood its internal structure as the basis for the choice of screws, in order to improve the safety and accuracy of nail surgery. METHODS: Totally 36 cases without lumbar vertebrae-related disease undergoing lumbar vertebra and abdominal cavity CT scan were randomly selected, including 20 males and 16 females at the age of (43.3±12.3) years. PACS was used to reconstruct lumbar vertebrae, and the related imaging parameters were measured. RESULTS AND CONCLUSION: (1) There was no significant difference between the left and right sides of the pedicle for paired t-test (P >0.05). (2) Pedicle sagittal angle had downward trend, the level of change was small; L4increased relative to L3; L5level was minimum at the average of -1.3°. Pedicle transverse angle had gradually increased trend, and maximum at L5; the average was 25.4°. (3) The length of the pedicle channel increased first and then decreased in the lumbar segment; the longest average was 52.2 mm in the L2segment, the shortest at L5, with an average of 47.4 mm. (4) The pedicle height was slightly narrowed at L1-L3levels; the smallest was 15.4 mm (L3mean), and reached the maximum in the L5at 22.7 mm (L5mean). Cancellous bone height also showed the same trend, the minimum in the L3at 10.2 mm, the maximum in the L5at 17.9 mm. (5) Lumbar pedicle width showed an upward trend, L1minimum of 7.7 mm, L5maximum of 12.5 mm. Cancellous bone width also became a similar upward trend; the narrowest L1, averagely 4.9 mm; the maximum L5, averagely 8.5 mm. (6) Overall, the upper lumbar pedicle channel was slender, while the lower lumbar spine was slightly short. (7) The parameters of the pedicle can be used as the basis for selecting the appropriate screw. At the same time, lumbar pedicle morphology has a certain difference, and there is a certain law. Accurately grasping its structure and image characteristics of pedicle screw fixation is the basis of surgery. The preoperative imaging data collection and assessment, combined with the general situation of patients, and the development of personalized programming, will help in improving the safety and accuracy of screw placement.
4.Expansion and function of MHC restricted killer T cells derived from umbilical cord blood.
Yi MING ; Hai-Yan ZHANG ; Zhe WANG ; Xiao-Dun LIU ; Chuan-Bao ZANG ; Hang SONG ; Xiao-Yu DAI ; Dong LI ;
Journal of Experimental Hematology 2015;23(1):195-201
OBJECTIVEThis study was to expand the cytotoxic T lymphocytes (CTL) through inducing the differentiation of umbilical blood monomuclear cells (UBMNC) by using various combination of cytokines, and to investigate the functions of expanded CTL.
METHODSThe MNC were isolated by ficoll density gradient centrifugation. Then, the PHA-P, IFN-γ combined with IL-2, IL-15 and other cytokines were used for induction and expansion of the cord blood-derived CTL. The biological function of CTL was examined by phenotype analysis, cytotoxic tests and real-time fluorescence quantitative PCR.
RESULTSAfter expansion for 15 days, the cell number increased by 1522% ± 137%. The content of CD3(-)CD8(-) cells in uncultured cord blood MNC was 95%, and the CD3(+)CD8(+) CTL cells reached 82.77% in cultured cord blood MNC after expansion for 15 days. The expanded CTL cell showed the cytotoxic activity against K562 and HeLa cell line. The killing rate of MNC was 61.88 ± 1.08%. After expansion, the killing rate could reach to 90% with the average value of 90.33 ± 2.02%. The expanded CTL cells highly expressed some key cytokines, such as granzyme A, granzyme B, GM-CSF, granulysin, IFN-γ, TGF-β, TNF-α and perforin. Compared with the control group, the expression of IFN-γ and TGF-β significantly increased (P < 0.05), and the other factors dramatically increased (P < 0.01).
CONCLUSIONThe cord blood-derived CTL can be expanded by different combinations of cytokines. These protocols may provide alternative choices for CTL cell expansion in tumor adoptive immunotherapy.
Cytokines ; Fetal Blood ; Granulocyte-Macrophage Colony-Stimulating Factor ; Granzymes ; Histocompatibility Antigens Class I ; Histocompatibility Antigens Class II ; Humans ; Immunotherapy, Adoptive ; Perforin ; Phytohemagglutinins ; T-Lymphocytes, Cytotoxic
5.Discrimination of alleles in HLA-C*04:01:01G groups.
Wei WANG ; Nan-Yin CHEN ; Wei ZHANG ; Jun-Jun HE ; Zhe-Dong HANG ; Fei QIN ; Li-Na DONG ; Fa-Ming ZHU ; Hang-Jun LYU
Journal of Experimental Hematology 2014;22(2):513-516
The aim of this study was to investigate the relatively frequencies of alleles in the HLA-C*04:01:01G group and to analyze their relations with HLA-A and -B loci. DNA samples previously typed as HLA-C*04:01:01G were sequentially selected. The sequences for exon 2 to 7 of the HLA-C locus were analyzed by polymerase chain reaction sequence-based typing(PCR-SBT). The HLA-A, -B, -DRB1 and -DQB1 loci were genotyped using PCR-SBT method. The results showed that 178 samples (94.2%) and 11 samples (5.8%) were assigned as HLA-C*04:01:01 and HLA-C*04:82 respectively among 189 samples previously typed as HLA-C*04:01:01G. 72 haplotypes associated with HLA-C*04:01:01 and C*04:82 were found, in which the frequencies of 26 haplotypes were over 0.0050. HLA-C*04:01:01 was strongly related with A*02:03, A*02:07, A*11:01, A*33:03, B*13:01, B*15:01, B*15:05, B*15:27, B*40:01, B*54:01 alleles, while HLA-C*04:82 was related with B*40:01. It is concluded that HLA-C*04:01:01 and HLA-C*04:82 alleles were confirmed in the HLA-C*04:01:01G group, which should be discriminated by the routine HLA genotyping.
Alleles
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Base Sequence
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Gene Frequency
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Genotype
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Genotyping Techniques
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HLA-C Antigens
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genetics
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Haplotypes
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Humans
6.Pre-diabetes mellitus influenced by hyperuricemia
Zhe JIAO ; Han-Lu GAO ; Hang LI ; Zhan-Ping JIA ; Da-Peng LI ; Dong-Ying SUN ; Bin-You WANG
Chinese Journal of Epidemiology 2013;34(7):725-727
Objective To investigate the relationship and the influence between pre-diabetes mellitus (PDM) and hyperuricemia (HUA).Methods 157 PDM patients,aged 20 to 75 years old were selected from the Second Clinical Medical College of Harbin Medical University,from 2009 February to 2010 February and were divided into HUA group (76 cases) and NUA group (81 cases).All the patients had not been on thiazide drugs.T-test and Pearson correlation analysis were used to calculate the differences and correlation between uric acid and biochemical indicators.Results In the HUA group,BMI was (27.74 ± 2.88) kg/m2,waist to height ratio (WSR) was (0.55 ± 0.41),TC was (6.61 ± 0.73) mmol/L,TG was (3.94 ± 1.97) mmol/L,LDL-C was (3.60 ± 0.45) mmol/L and homeostasis model assessment-insulin resistance index (HOMA-IR) was (3.09± 1.20).There were significant differences noticed in BMI,TG,TC,LDL-C,HOMA-IR at higher level in the HUA group than those in the NUA group.Pre-diabetes uric acid levels were positively correlated with TG,TC,LDL-C while HOMA-1R (TG:r=0.29,TC:r=0.33,LDL-C:r=0.49,HOMA-IR:r=0.51,P<0.05)was negatively correlated (r=-0.30,P<0.05) with the HbAlc.Conclusion The levels of PDM uric acid might both be related with TC,TG,LDL-C and HOMA-IR.The High level of uric acid status in vivo appeared closely related to HOMA-IR,which could further promote the progress of pre-diabetic patients to diabetes and causing dyslipidemia.Our findings suggested that the levels of pre-diabetes uric acid levels should be under concern.
7.Discrimination of alleles in HLA-C*07:01:01G and HLA-C*07:02:01G groups through detection sequences in exons 1 to 7 of HLA-C locus by using polymerase chain reaction sequence-based typing.
Hang-Jun LÜ ; Wei ZHANG ; Jun-Jun HE ; Yan-Min HE ; Wei WANG ; Zhe-Dong HANG ; Nan-Yin CHEN ; Fa-Ming ZHU ; Li-Xing YAN
Journal of Experimental Hematology 2012;20(1):178-181
This study was aimed to discriminate the alleles in the HLA-C*07:01:01G and HLA-C*07:02:01G groups and analyze their associations with HLA-B locus. Samples previously typed as HLA-C*07:01:01G and HLA-C*07:02:01G were collected. The nucleotide sequences in exons 1 to 7 of the HLA-C locus were sequenced by polymerase chain reaction sequence-based typing (PCR-SBT) and HLA-B genotyping was also preformed by PCR-SBT in these samples. The results showed that 4 samples (30.8%) were confirmed as HLA-C*07:01:01 and 9 samples (69.2%) were HLA-C*07:06 among 13 samples previously typed as HLA-C*07:01:01G. Linkage disequilibrium (LD) analysis showed that HLA-C*07:06 allele was strongly related with HLA-B*44:03. All samples were typed as C*07:02:01 among 102 individuals previously typed as C*07:02:01G. LD analysis showed that C*07:02:01 was strongly related with HLA-B*51:01, B*46:01, B*39:01, B*40:01, B*38:02, B*15:02 alleles. It is concluded that HLA-C*07:01:01 and HLA-C*07:06 alleles are confirmed in the HLA-C*07:01:01G group and HLA-C*07:02:01 is a preferred allele in the HLA-C*07:02:01G.
Alleles
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Base Sequence
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Exons
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HLA-B Antigens
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genetics
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HLA-C Antigens
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genetics
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Humans
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Molecular Sequence Data
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Polymerase Chain Reaction
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methods
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Sequence Analysis, DNA
8.Analysis of allele frequencies of HLA-DRB1*12:01:01G and HLA-DRB1*14:01:01G groups.
Jun-jun HE ; Wei ZHANG ; Yan-min HE ; Wei WANG ; Zhe-dong HAN ; Nan-ying CHEN ; Fa-ming ZHU ; Hang-jun LV ; Li-xing YAN
Chinese Journal of Medical Genetics 2012;29(1):87-90
OBJECTIVETo discriminate and analyze the relative frequencies of alleles in HLA-DRB1*12:01:01G(HLA-DRB1*12:01:01/12:06/12:10/12:17) and HLA-DRB1*14:01:01G (DRB1*14:01:01/14:54) groups and assess their associations with HLA-DRB3 and HLA-DQB1 loci.
METHODSA total of 115 DNA samples previously typed as HLA-DRB1*12:01:01G and 108 samples from HLA-DRB1*14:01:01G were selected. DNA sequences for exons 1 to 3 of the HLA-DRB1 locus were analyzed for HLA-DRB1*12:01:01G, and exons 2 to 3 were analyzed for HLA-DRB1*14:01:01G by polymerase chain reaction sequence-based typing (PCR-SBT). Genotyping of HLA-DRB3 and HLA-DQB1 were achieved by PCR-SBT.
RESULTSAmong 115 samples previously typed as HLA-DRB1*12:01:01G, 101 (87.8%) were confirmed as HLA-DRB1*12:01:01 and 14 (12.2%) were HLA-DRB1*12:10, but HLA-DRB1*12:06 and HLA-DRB1*12:17 alleles were not identified. For 108 samples previously typed as HLA-DRB1*14:01:01G, all were typed as HLA-DRB1*14:54. HLA-DRB1*12:01:01 was linked with HLA-DRB3*01:01:02 and HLA-DQB1*03:01, while HLA-DRB1*12:10 was strongly linked with HLA-DRB3*02:02:01 and HLA-DQB1*03:01. HLA-DRB1*14:54 was strongly linked with HLA-DRB3*02:02:01 and two different HLA-DQB1*05:02, *05:03 alleles.
CONCLUSIONHLA-DRB1*12:01:01 was more prevalent than HLA-DRB1*12:10 in the HLA-DRB1*12:01:01G group, and HLA-DRB1*14:54 was the dominant allele for HLA-DRB1*14:01:01G.
Alleles ; Exons ; Gene Frequency ; Genotype ; HLA-DQ beta-Chains ; genetics ; HLA-DRB1 Chains ; genetics ; HLA-DRB3 Chains ; genetics ; Humans
9.A preliminary study on the effects of meteorological factors on intracerebral hemorrhage death using the BP neural network model
Han-Lu GAO ; Li LAN ; Dong-Ju QIAO ; Na ZHAO ; Jia-Qi YANG ; Bing SHAO ; Zhe JIAO ; Hang LI ; Bin-You WANG
Chinese Journal of Epidemiology 2012;33(9):937-940
Objective Using the Back Propagation (BP) Neural Network Model to discover the relationship between meteorological factors and mortality of intracerebral hemorrhage,to provide evidence for developing an intracerebral hemorrhage prevention and control program,in Harbin.Methods Based on the characteristics of BP neural network,a neural network Toolbox of MATLAB 7.0 software was used to build Meteorological data of 2007-2009 with intracerebral hemorrhage mortality to predict the effect of BP neural network model,and to compare with the traditional multivariate linear regression model. Results Datas from the multivariate linear regrcssion indicated that the cerebral hemorrhage death mortality had a negative correlation with maximum temperatureand minimum humidity while having a positive correlation with the average relative humidity and the hours of sunshine.The linear correlation coefficient of intracerebral hemorrhage mortality was 0.7854,with mean absolute percentage (MAPE) as 0.21,mean square error (MSE) as 0.22,mean absolute error(MAE) as 0.19.The accuracy of forecasting was 81.31% with an average error rate as 0.19.The Fitting results of BP neural network model showed that non-linear correlation coefficient of intracerebral hemorrhage mortality was 0.7967,with MAPE as 0.19,MSE as 0.21,MAE as 0.18.The forecasting accuracy was 82.53% with the average error rate as 0.17.Conclusion The BP neural network model showed a higher forecasting accuracy when compared to the multiple linear regression model on intraccrebral hemorrhage mortality,using the data of 2010' s.
10.Recombination between human leukocyte antigen -A and -C loci within two Chinese Han families.
Wei WANG ; Zhe-dong HAN ; Nan-ying CHEN ; Jun-jun HE ; Wei ZHANG ; Fa-ming ZHU ; Hang-jun LV ; Li-xing YAN
Chinese Journal of Medical Genetics 2011;28(4):417-420
OBJECTIVETo investigate the recombination events between human leukocyte antigen (HLA) loci within two families.
METHODSIdentification of HLA-A, -C, -B, -DRB1 and -DQB1 loci was firstly carried out using polymerase chain reaction-sequence specific oligonucleotide. Then HLA high resolution typing was performed using polymerase chain reaction sequencing-based typing. The recombination between HLA loci was identified by family genetic analysis. The parentage possibility was analyzed by short tandom repeat technique.
RESULTSRecombination between the HLA-A and C loci was identified within two families. One individual inherited a paternal haplotype that was the result of a recombination event between the father's HLA-A and -C loci on his chromosomes. The other individual inherited a maternal haplotype that was the result of a recombination event between the mother's HLA-A and -C loci. The high parentage possibilities were obtained in the family members.
CONCLUSIONThe recombination events of HLA-A and -C have been found in two Chinese families, which may help further study on the mechanism of HLA recombination.
Asian Continental Ancestry Group ; ethnology ; genetics ; China ; ethnology ; Ethnic Groups ; genetics ; Female ; Genetic Loci ; genetics ; HLA-A Antigens ; genetics ; HLA-C Antigens ; genetics ; Haplotypes ; genetics ; Humans ; Male ; Pedigree ; Recombination, Genetic ; genetics

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