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Zou Y, Yan XL, Flores RM, Zhang LY, Yang SP, Fan LY, Deng T, Deng XJ, Ye DQ. Source apportionment and ozone formation mechanism of VOCs considering photochemical loss in Guangzhou, China. Sci Total Environ 2023; 903:166191. [PMID: 37567293 DOI: 10.1016/j.scitotenv.2023.166191] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 08/07/2023] [Accepted: 08/08/2023] [Indexed: 08/13/2023]
Abstract
Understanding the sources and impact of volatile organic compounds (VOCs) on ozone formation is challenging when the traditional method does not account for their photochemical loss. In this study, online monitoring of 56 VOCs was carried out in summer and autumn during high ozone pollution episodes. The photochemical age method was used to evaluate the atmospheric chemical loss of VOCs and to analyze the effects on characteristics, sources, and ozone formation of VOC components. The initial concentrations during daytime were 5.12 ppbv and 4.49 ppbv higher than the observed concentrations in the summer and autumn, respectively. The positive matrix factorization (PMF) model identified 5 major emission sources. However, the omission of the chemical loss of VOCs led to underestimating the contributions of sources associated with highly reactive VOC components, such as those produced by biogenic emissions and solvent usage. Conversely it resulted in overestimating the contributions from VOC components with lower chemical activity such as liquefied petroleum gas (LPG) usage, vehicle emissions, and gasoline evaporation. Furthermore, the estimation of ozone formation may be underestimated when the atmospheric photochemical loss is not taken into account. The ozone formation potential (OFP) method and propylene-equivalent concentration method both underestimated ozone formation by 53.24 ppbv and 47.25 ppbc, respectively, in the summer, and by 40.34 ppbv and 26.37 ppbc, respectively, in the autumn. The determination of the ozone formation regime based on VOC chemical loss was more acceptable. In the summer, the ozone formation regime changed from the VOC-limited regime to the VOC-NOx transition regime, while in the autumn, the ozone formation regime changed from the strong VOC-limited regime to the weak VOC-limited regime. To obtain more thorough and precise conclusions, further monitoring and analysis studies will be conducted in the near future on a wider variety of VOC species such as oxygenated VOCs (OVOCs).
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Affiliation(s)
- Y Zou
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, China; Institute of Tropical and Marine Meteorology, China Meteorological Administration (CMA), Guangzhou 510640, China
| | - X L Yan
- State Key Laboratory of Severe Weather & Institute of Tibetan Plateau Meteorology, Chinese Academy of Meteorological Sciences, Beijing, China
| | - R M Flores
- Marmara University, Department of Environmental Engineering, Istanbul, Turkey
| | - L Y Zhang
- Institute of Tropical and Marine Meteorology, China Meteorological Administration (CMA), Guangzhou 510640, China
| | - S P Yang
- Institute of Tropical and Marine Meteorology, China Meteorological Administration (CMA), Guangzhou 510640, China
| | - L Y Fan
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
| | - T Deng
- Institute of Tropical and Marine Meteorology, China Meteorological Administration (CMA), Guangzhou 510640, China
| | - X J Deng
- Institute of Tropical and Marine Meteorology, China Meteorological Administration (CMA), Guangzhou 510640, China
| | - D Q Ye
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, China.
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Fang XY, Zhang J, Qian TT, Gao P, Wu Q, Fang Q, Ke SS, Huang RG, Zhang HC, Qiao NN, Fan YG, Ye DQ. Metabolomic profiles, polygenic risk scores and risk of rheumatoid arthritis: a population-based cohort study in the UK Biobank. RMD Open 2023; 9:e003560. [PMID: 38035758 PMCID: PMC10689387 DOI: 10.1136/rmdopen-2023-003560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 10/16/2023] [Indexed: 12/02/2023] Open
Abstract
OBJECTIVE To investigate the relationship between metabolomic profiles, genome-wide polygenic risk scores (PRSs) and risk of rheumatoid arthritis (RA). METHODS 143 nuclear magnetic resonance-based plasma metabolic biomarkers were measured among 93 800 participants in the UK Biobank. The Cox regression model was used to assess the associations between these metabolic biomarkers and RA risk, and genetic correlation and Mendelian randomisation analyses were performed to reveal their causal relationships. Subsequently, a metabolic risk score (MRS) comprised of the weighted sum of 17 clinically validated metabolic markers was constructed. A PRS was derived by assigning weights to genetic variants that exhibited significant associations with RA at a genome-wide level. RESULTS A total of 620 incident RA cases were recorded during a median follow-up time of 8.2 years. We determined that 30 metabolic biomarkers were potentially associated with RA, while no further significant causal associations were found. Individuals in the top decile of MRS had an increased risk of RA (HR 3.52, 95% CI: 2.80 to 4.43) compared with those below the median of MRS. Further, significant gradient associations between MRS and RA risk were observed across genetic risk strata. Specifically, compared with the low genetic risk and favourable MRS group, the risk of incident RA in the high genetic risk and unfavourable MRS group has almost elevated by fivefold (HR 6.10, 95% CI: 4.06 to 9.14). CONCLUSION Our findings suggested the metabolic profiles comprising multiple metabolic biomarkers contribute to capturing an elevated risk of RA, and the integration of genome-wide PRSs further improved risk stratification.
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Affiliation(s)
- Xin-Yu Fang
- Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Jie Zhang
- School of Public Health, Anhui University of Science and Technology, Hefei, Anhui, China
- Anhui Institute of Occupational Safety and Health, Anhui University of Science and Technology, Hefei, China
| | - Ting-Ting Qian
- Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Peng Gao
- Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Qing Wu
- Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Quan Fang
- Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Su-Su Ke
- Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Rong-Gui Huang
- Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Heng-Chuan Zhang
- Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Ni-Ni Qiao
- Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Yin-Guang Fan
- Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Dong-Qing Ye
- Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
- School of Public Health, Anhui University of Science and Technology, Hefei, Anhui, China
- Anhui Institute of Occupational Safety and Health, Anhui University of Science and Technology, Hefei, China
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Pan G, Cheng J, Pan HF, Fan YG, Ye DQ. Global Chronic obstructive pulmonary disease burden attributable to air pollution from 1990 to 2019. Int J Biometeorol 2023; 67:1543-1553. [PMID: 37522974 DOI: 10.1007/s00484-023-02504-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 08/26/2022] [Accepted: 10/07/2022] [Indexed: 08/01/2023]
Abstract
BACKGROUND The disease burden attributable to chronic obstructive pulmonary disease (COPD) is significant worldwide. Some studies have linked exposure to air pollution to COPD, but there has been little research on this. METHODS We aimed to assess the COPD-related disease burden attributable to air pollution from multiple epidemiological perspectives. This study conducted a three-stage analysis. Firstly, we reported on the burden of disease worldwide in 2019 by different subgroups including sex, age, region, and country. Secondly, we studied the trends in disease burden from 1990 to 2019. Finally, we explored the association of some national indicators with disease burden to look for risk factors. RESULTS In 2019, the death number of COPD associated with air pollution accounted for 2.32% of the total global death, and the number of DALY accounted for 1.12% of the global DALY. From 1990 to 2019, the death number of COPD associated with air pollution increased peaked at 1.41 million in 1993, fluctuated, and then declined. We found the same temporal pattern of DALY. The corresponding age-standardized rates had been falling. At the same time, the burden of COPD associated with air pollution was also affected by some national indicators. CONCLUSIONS This study indicated that air pollution-related COPD contributed to a significant global disease burden. We called for health policymakers to take action and interventions targeting vulnerable countries and susceptible populations.
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Affiliation(s)
- Guixia Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Jian Cheng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Hai-Feng Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Yin-Guang Fan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.
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Chen X, Zhu S, Li HD, Wang JN, Sun LJ, Xu JJ, Hui YR, Li XF, Li LY, Zhao YX, Suo XG, Xu CH, Ji ML, Sun YY, Huang C, Meng XM, Zhang L, Lv XW, Ye DQ, Li J. N 6-methyladenosine-modified circIRF2, identified by YTHDF2, suppresses liver fibrosis via facilitating FOXO3 nuclear translocation. Int J Biol Macromol 2023; 248:125811. [PMID: 37467831 DOI: 10.1016/j.ijbiomac.2023.125811] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 06/17/2023] [Accepted: 06/28/2023] [Indexed: 07/21/2023]
Abstract
Circular RNA (circRNA) has been implicated in liver fibrosis and modulated by multiple elusive molecular mechanisms, while the effects of N6-methyladenosine (m6A) modification on circRNA are still elusive. Herein, we identify circIRF2 from our circRNA sequencing data, which decreased in liver fibrogenesis stage and restored in resolution stage, indicating that dysregulated circIRF2 may be closely associated with liver fibrosis. Gain/loss-of-function analysis was performed to evaluate the effects of circIRF2 on liver fibrosis at both the fibrogenesis and resolution in vivo. Ectopic expression of circIRF2 attenuated liver fibrogenesis and HSCs activation at the fibrogenesis stage, whereas downregulation of circIRF2 impaired mouse liver injury repair and inflammation resolution. Mechanistically, YTHDF2 recognized m6A-modified circIRF2 and diminished circIRF2 stability, partly accounting for the decreased circIRF2 in liver fibrosis. Microarray was applied to investigate miRNAs regulated by circIRF2, our data elucidate cytoplasmic circIRF2 may directly harbor miR-29b-1-5p and competitively relieve its inhibitory effect on FOXO3, inducing FOXO3 nuclear translocation and accumulation. Clinically, circIRF2 downregulation was prevalent in liver fibrosis patients compared with healthy individuals. In summary, our findings offer a novel insight into m6A modification-mediated regulation of circRNA and suggest that circIRF2 may be an exploitable prognostic marker and/or therapeutic target for liver fibrosis.
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Affiliation(s)
- Xin Chen
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Institute of Innovative Drugs, School of Pharmacy, Anhui Medical University, Hefei 230032, China; The Key Laboratory of Anti-inflammatory and Immune Medicines, Anhui Medical University, Ministry of Education, Hefei 230032, China; Institute for Liver Diseases of Anhui Medical University, ILD-AMU, Anhui Medical University, Hefei 230032, China
| | - Sai Zhu
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Institute of Innovative Drugs, School of Pharmacy, Anhui Medical University, Hefei 230032, China; Institute for Liver Diseases of Anhui Medical University, ILD-AMU, Anhui Medical University, Hefei 230032, China; Department of Nephropathy, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Hai-Di Li
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Institute of Innovative Drugs, School of Pharmacy, Anhui Medical University, Hefei 230032, China; The Key Laboratory of Anti-inflammatory and Immune Medicines, Anhui Medical University, Ministry of Education, Hefei 230032, China; Institute for Liver Diseases of Anhui Medical University, ILD-AMU, Anhui Medical University, Hefei 230032, China
| | - Jia-Nan Wang
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Institute of Innovative Drugs, School of Pharmacy, Anhui Medical University, Hefei 230032, China; The Key Laboratory of Anti-inflammatory and Immune Medicines, Anhui Medical University, Ministry of Education, Hefei 230032, China; Institute for Liver Diseases of Anhui Medical University, ILD-AMU, Anhui Medical University, Hefei 230032, China
| | - Li-Jiao Sun
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Institute of Innovative Drugs, School of Pharmacy, Anhui Medical University, Hefei 230032, China; The Key Laboratory of Anti-inflammatory and Immune Medicines, Anhui Medical University, Ministry of Education, Hefei 230032, China; Institute for Liver Diseases of Anhui Medical University, ILD-AMU, Anhui Medical University, Hefei 230032, China
| | - Jin-Jin Xu
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Institute of Innovative Drugs, School of Pharmacy, Anhui Medical University, Hefei 230032, China; The Key Laboratory of Anti-inflammatory and Immune Medicines, Anhui Medical University, Ministry of Education, Hefei 230032, China
| | - Ya-Ru Hui
- Department of Graduate Student Affairs, Anhui Medical University, Hefei 230032, China
| | - Xiao-Feng Li
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Institute of Innovative Drugs, School of Pharmacy, Anhui Medical University, Hefei 230032, China; The Key Laboratory of Anti-inflammatory and Immune Medicines, Anhui Medical University, Ministry of Education, Hefei 230032, China
| | - Liang-Yun Li
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Institute of Innovative Drugs, School of Pharmacy, Anhui Medical University, Hefei 230032, China; The Key Laboratory of Anti-inflammatory and Immune Medicines, Anhui Medical University, Ministry of Education, Hefei 230032, China
| | - Yu-Xin Zhao
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Institute of Innovative Drugs, School of Pharmacy, Anhui Medical University, Hefei 230032, China; The Key Laboratory of Anti-inflammatory and Immune Medicines, Anhui Medical University, Ministry of Education, Hefei 230032, China
| | - Xiao-Guo Suo
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Institute of Innovative Drugs, School of Pharmacy, Anhui Medical University, Hefei 230032, China; The Key Laboratory of Anti-inflammatory and Immune Medicines, Anhui Medical University, Ministry of Education, Hefei 230032, China
| | - Chuan-Hui Xu
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Institute of Innovative Drugs, School of Pharmacy, Anhui Medical University, Hefei 230032, China; The Key Laboratory of Anti-inflammatory and Immune Medicines, Anhui Medical University, Ministry of Education, Hefei 230032, China
| | - Ming-Lu Ji
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Institute of Innovative Drugs, School of Pharmacy, Anhui Medical University, Hefei 230032, China; The Key Laboratory of Anti-inflammatory and Immune Medicines, Anhui Medical University, Ministry of Education, Hefei 230032, China
| | - Ying-Yin Sun
- Department of Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Cheng Huang
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Institute of Innovative Drugs, School of Pharmacy, Anhui Medical University, Hefei 230032, China; The Key Laboratory of Anti-inflammatory and Immune Medicines, Anhui Medical University, Ministry of Education, Hefei 230032, China; Institute for Liver Diseases of Anhui Medical University, ILD-AMU, Anhui Medical University, Hefei 230032, China
| | - Xiao-Ming Meng
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Institute of Innovative Drugs, School of Pharmacy, Anhui Medical University, Hefei 230032, China; The Key Laboratory of Anti-inflammatory and Immune Medicines, Anhui Medical University, Ministry of Education, Hefei 230032, China
| | - Lei Zhang
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Institute of Innovative Drugs, School of Pharmacy, Anhui Medical University, Hefei 230032, China
| | - Xiong-Wen Lv
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Institute of Innovative Drugs, School of Pharmacy, Anhui Medical University, Hefei 230032, China
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei 230032, China.
| | - Jun Li
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Institute of Innovative Drugs, School of Pharmacy, Anhui Medical University, Hefei 230032, China; The Key Laboratory of Anti-inflammatory and Immune Medicines, Anhui Medical University, Ministry of Education, Hefei 230032, China; Institute for Liver Diseases of Anhui Medical University, ILD-AMU, Anhui Medical University, Hefei 230032, China.
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Zhao W, Leng RX, Ye DQ. RIPK2 as a promising druggable target for autoimmune diseases. Int Immunopharmacol 2023; 118:110128. [PMID: 37023697 DOI: 10.1016/j.intimp.2023.110128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 03/21/2023] [Accepted: 03/29/2023] [Indexed: 04/07/2023]
Abstract
Receptor Interacting Serine/Threonine Kinase 2 (RIPK2) is an essential regulator of the inflammatory process and immune response. In innate immunity, the NOD-RIPK2 signaling axis is an important pathway that directly mediates inflammation and immune response. In adaptive immunity, RIPK2 may affect T cell proliferation, differentiation and cellular homeostasis thereby involving T cell-driven autoimmunity, but the exact mechanism remains unclear. Recent advances suggest a key role of RIPK2 in diverse autoimmune diseases (ADs) such as inflammatory bowel diseases, rheumatoid arthritis, multiple sclerosis, systemic lupus erythematosus, and Behcet's disease. This review aims to provide valuable therapeutic direction for ADs by focusing on the function and modulation of RIPK2 in innate and adaptive immunity, its involvement with various ADs and the application of RIPK2-related drugs in ADs. We raise the notion that drug targeting RIPK2 could be a promising therapeutic strategy for the treatment of ADs, though much work remains to be done for clinical application.
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Zhang J, Fang XY, Leng R, Chen HF, Qian TT, Cai YY, Zhang XH, Wang YY, Mu M, Tao XR, Leng RX, Ye DQ. Metabolic signature of healthy lifestyle and risk of rheumatoid arthritis: observational and Mendelian randomization study. Am J Clin Nutr 2023:S0002-9165(23)48892-2. [PMID: 37127109 DOI: 10.1016/j.ajcnut.2023.04.034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Revised: 04/10/2023] [Accepted: 04/26/2023] [Indexed: 05/03/2023] Open
Abstract
BACKGROUND While substantial evidence reveals that healthy lifestyle behaviors are associated with a lower risk of rheumatoid arthritis (RA), the underlying metabolic mechanisms remain unclear. OBJECTIVES This study aimed to identify the metabolic signature reflecting a healthy lifestyle and investigate its observational and genetic linkage with RA risk. METHODS This study included 87,258 UK Biobank participants (557 cases of incident RA) aged 37 to 73 years with complete lifestyle, genotyping and nuclear magnetic resonance (NMR) metabolomics data. A healthy lifestyle was assessed based on five factors: healthy diet, regular exercise, not smoking, moderate alcohol consumption, and normal body mass index. The metabolic signature was developed by summing selected metabolites' concentrations weighted by the coefficients using elastic net regression. We used multivariate Cox model to assess the associations between metabolic signatures and RA risk, and examined the mediating role of the metabolic signature in the impact of a healthy lifestyle on RA. We performed genome-wide association analysis (GWAS) to obtain genetic variants associated with the metabolic signature, then conducted Mendelian randomization (MR) analyses to detect causality. RESULTS The metabolic signature comprised of 81 metabolites, robustly correlated with healthy lifestyle ( r = 0.45, P = 4.2 × 10-15). The metabolic signature was inversely associated with RA risk (HR per SD increment: 0.76, 95% CI: 0.70-0.83), and largely explained protective effects of healthy lifestyle on RA with 64% (95%CI: 50.4-83.3) mediation proportion. One and two-sample MR analyses also consistently showed the associations of genetically inferred per SD increment in metabolic signature with a reduction in RA risk (HR: 0.84, 95% CI: 0.75-0.94, P = 0.002 and OR: 0.84, 95% CI: 0.73-0.97, P = 0.02 respectively). CONCLUSION Our findings implicate the metabolic signature reflecting healthy lifestyle as a potential causal mediator in the development of RA, highlighting the importance of early lifestyle intervention and metabolic tracking for precise prevention of RA.
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Affiliation(s)
- Jie Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, 230032, China
| | - Xin-Yu Fang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, 230032, China
| | - Rui Leng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, 230032, China
| | - Hai-Feng Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, 230032, China
| | - Ting-Ting Qian
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, 230032, China
| | - Yu-Yu Cai
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, 230032, China
| | - Xin-Hong Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, 230032, China
| | - Yi-Yu Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, 230032, China
| | - Min Mu
- School of Public Health, Anhui University of Science and Technology, Huainan, Anhui, 232001, China
| | - Xin-Rong Tao
- School of Public Health, Anhui University of Science and Technology, Huainan, Anhui, 232001, China
| | - Rui-Xue Leng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, 230032, China.
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, 230032, China; School of Public Health, Anhui University of Science and Technology, Huainan, Anhui, 232001, China.
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Wu YT, Ye DQ, Lian CH. A Case of Giant Perianal Condylomata Acuminata with IgA Nephropathy Treated Successfully by a Topical Chinese Medicine Preparation Paiteling. Clin Cosmet Investig Dermatol 2023; 16:693-696. [PMID: 36969384 PMCID: PMC10038002 DOI: 10.2147/ccid.s400677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2022] [Accepted: 03/07/2023] [Indexed: 03/22/2023]
Abstract
Giant condylomata acuminata (a sexually transmitted disease caused by HPV infection) currently is treated in many methods. Surgery, the mainstay treatment of giant condylomata acuminata, may cause a high cost or scar formation. It is important to explore effective and safe treatment options. Although the external treatment of traditional Chinese medicine treatment of condyloma acuminatum has not been widely used, in our case, the use of traditional Chinese medicine successfully treated a perianal giant condyloma acuminatum patient who also suffered from mixed hemorrhoid and IgA nephropathy meanwhile. The treatment process was simple and the effect obvious. There was no recurrence more than 10 months after treatment finished, and the patients felt safe, comfortable and highly coordinated. The outcome of this case suggests that the traditional Chinese medicine might be considered as a mild and effective option for the treatment of giant condyloma acuminatum.
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Affiliation(s)
- Yu-Tong Wu
- Department of Dermatology, Shenzhen Second People’s Hospital, Shenzhen, People’s Republic of China
| | - Dong-Qing Ye
- Department of Dermatology, The Third People’s Hospital of Longgang District, Shenzhen, People’s Republic of China
| | - Cui-Hong Lian
- Department of Dermatology, Shenzhen Second People’s Hospital, Shenzhen, People’s Republic of China
- Correspondence: Cui-Hong Lian, Department of Dermatology, Shenzhen Second People’s Hospital, 3002 Sungang West Road, Futian District, Shenzhen, People’s Republic of China, Tel +8615814692161, Fax +86 755-83366388, Email
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Zhang J, Fang XY, Wu J, Fan YG, Leng RX, Liu B, Lv XJ, Yan YL, Mao C, Ye DQ. Association of Combined Exposure to Ambient Air Pollutants, Genetic Risk, and Incident Rheumatoid Arthritis: A Prospective Cohort Study in the UK Biobank. Environ Health Perspect 2023; 131:37008. [PMID: 36913237 PMCID: PMC10010395 DOI: 10.1289/ehp10710] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 02/03/2023] [Accepted: 02/06/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Evidence for a potential link between air pollution and rheumatoid arthritis (RA) is inconsistent, and the modified effect of genetic susceptibility on the relationship between air pollution and RA has not been well studied. OBJECTIVE Using a general population cohort from the UK Biobank, this study aimed to investigate the associations between various air pollutants and the risk of incident RA and to further estimate the impact of combined exposure to ambient air pollutants on the risk of developing RA under the modification effect of genetic predisposition. METHODS A total of 342,973 participants with completed genotyping data and who were free of RA at baseline were included in the study. An air pollution score was constructed by summing the concentrations of each pollutant weighted by the regression coefficients with RA from single-pollutant models to assess the combined effect of air pollutants, including particulate matter (PM) with diameters ≤2.5μm (PM2.5), between 2.5 and 10μm (PM2.5-10), and ≤10μm (PM10), as well as nitrogen dioxide (NO2) and nitrogen oxides (NOx). In addition, the polygenic risk score (PRS) of RA was calculated to characterize individual genetic risk. The Cox proportional hazard model was used to estimate hazard ratios (HRs) and 95% confidence intervals (95% CIs) of associations of single air pollutant, air pollution score, or PRS with incident RA. RESULTS During a median follow-up time of 8.1 y, 2,034 incident events of RA were recorded. The HRs (95% CIs) of incident RA per interquartile range increment in PM2.5, PM2.5-10, PM10, NO2, and NOx were 1.07 (1.01, 1.13), 1.00 (0.96, 1.04), 1.01 (0.96, 1.07), 1.03 (0.98, 1.09), and 1.07 (1.02, 1.12), respectively. We also found a positive exposure-response relationship between air pollution score and RA risk (pTrend=0.000053). The HR (95% CI) of incident RA was 1.14 (1.00, 1.29) in the highest quartile group compared with the lowest quartile group of the air pollution score. Furthermore, the results of the combined effect of air pollution score and PRS on the RA risk showed that the risk of RA incidence in the highest genetic risk and air pollution score group was almost twice that of the lowest genetic risk and air pollution score group [incidence rate (IR) per 100,000 person-years: 98.46 vs. 51.19, and HR= 1.73 (95% CI: 1.39, 2.17) vs. 1 (reference)], although no statistically significant interaction between the air pollution and genetic risk for incident RA was found (pInteraction>0.05). DISCUSSION The results revealed that long-term combined exposure to ambient air pollutants might increase the risk of RA, particularly in those with high genetic risk. https://doi.org/10.1289/EHP10710.
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Affiliation(s)
- Jie Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Xin-Yu Fang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Jun Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Guangdong Medical University, Dongguan, Guangdong, China
| | - Yin-Guang Fan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Rui-Xue Leng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Bo Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Xiao-Jie Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Yu-Lu Yan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Chen Mao
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
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9
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Liu B, Fang XY, Yan YL, Wu J, Lv XJ, Zhang J, Qi LW, Qian TT, Cai YY, Fan YG, Ye DQ. Short-term effect of ambient temperature and ambient temperature changes on the risk of warts outpatient visits in Hefei, China: a retrospective time-series study. Environ Sci Pollut Res Int 2023; 30:19342-19355. [PMID: 36239885 DOI: 10.1007/s11356-022-23522-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 10/05/2022] [Indexed: 06/16/2023]
Abstract
Concerns are growing about the adverse health effects of ambient temperature and ambient temperature changes. However, the association between ambient temperature and ambient temperature changes on the risk of warts outpatient visits is poorly understood. Our study used the distributed lag non-linear model (DLNM) aimed to evaluate the association between ambient temperature, ambient temperature changes (including temperature change between neighboring days (TCN) and diurnal temperature range (DTR)), and warts outpatient visits. We also performed subgroup analyses in order to find susceptible populations by gender and age groups. The maximum relative risk (RR) of low ambient temperature (0 °C) for warts outpatient visits was 1.117 (95% CI: 1.041-1.198, lag 04 days), and the maximum RR of high ambient temperature (32 °C) for warts outpatient visits was 1.318 (95% CI: 1.083-1.605, lag 07 days). The large temperature drop (TCN = - 3 °C) decreased the risk of warts visits, with the lowest RR value at the cumulative exposure of lag 7 days (RR = 0.888, 95% CI: 0.822-0.959), and the large temperature rise (TCN = 2 °C) increased the risk of warts visits, with the highest RR value at the cumulative exposure of lag 7 days (RR = 1.080, 95% CI: 1.022-1.142). Overall, both low and high ambient temperatures and large temperature rise can increase the risk of warts visits, while large temperature drop is a protective factor for warts visits. However, we did not find any association between DTR and warts visits. Furthermore, subgroup analyses showed that males and the young (0-17 years old) were more sensitive to low and high ambient temperatures, and the elderly (≥ 65 years old) were more susceptible to TCN. The results may provide valuable evidence for reducing the disease burden of warts in the future.
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Affiliation(s)
- Bo Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Mei-Shan Road, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Xin-Yu Fang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Mei-Shan Road, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Yu-Lu Yan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Mei-Shan Road, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Jun Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Guangdong Medical University, Dongguan, Guangdong, China
| | - Xiao-Jie Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Mei-Shan Road, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Jie Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Mei-Shan Road, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Liang-Wei Qi
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Mei-Shan Road, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Ting-Ting Qian
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Mei-Shan Road, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Yu-Yu Cai
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Mei-Shan Road, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Yin-Guang Fan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Mei-Shan Road, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Mei-Shan Road, Hefei, Anhui, China.
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China.
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10
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Mao YM, Liao T, Ye QL, Wu GC, Zhang Q, Tao SS, Zhao CN, Wu Q, Dan YL, Pan HF, Ye DQ. Increased circulating sclerostin levels in rheumatoid arthritis patients: an updated meta-analysis. Z Rheumatol 2023; 82:51-58. [PMID: 34545431 DOI: 10.1007/s00393-021-01091-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/23/2021] [Indexed: 01/13/2023]
Abstract
BACKGROUND Sclerostin, a regulator of bone metabolism and vascular calcification involved in regulating the Wnt/β-catenin signaling pathway, has been shown to be involved in the pathogenesis of rheumatoid arthritis (RA). However, current results regarding the circulating sclerostin level of RA patients are debatable. This study aimed to evaluate the circulating level of sclerostin in RA patients and briefly summarize its role. METHOD PubMed, EMBASE, and the Cochrane Library databases were systematically searched till May 27, 2021, for eligible articles. Useful data from all qualified papers were systematically extracted and analyzed using Stata 12.0 software (Stata Corp LP, College Station, TX, USA). RESULTS Overall, 13 qualifying studies including 1030 cases and 561 normal controls were analyzed in this updated meta-analysis. Forest plot of this meta-analysis showed that RA patients had higher circulating sclerostin levels (P < 0.001, standardized mean difference [SMD] = 0.916, 95% CI: 0.235-1.597) compared to normal controls. Subgroup analyses implied that age, region, and assay method were associated with sclerostin level in RA patients. CONCLUSION RA patients have higher circulating sclerostin levels, and these was influenced by age, region, and assay method.
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Affiliation(s)
- Yan-Mei Mao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, 230032, Hefei, Anhui, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, Anhui, China
| | - Tao Liao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, 230032, Hefei, Anhui, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, Anhui, China
| | - Qian-Ling Ye
- Department of Hematology, The Second Hospital, Anhui Medical University, Hefei, Anhui, China
| | - Guo-Cui Wu
- School of Nursing, Anhui Medical University, 15 Feicui Road, Hefei, Anhui, China
| | - Qin Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, 230032, Hefei, Anhui, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, Anhui, China
| | - Sha-Sha Tao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, 230032, Hefei, Anhui, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, Anhui, China
| | - Chan-Na Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, 230032, Hefei, Anhui, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, Anhui, China
| | - Qian Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, 230032, Hefei, Anhui, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, Anhui, China
| | - Yi-Lin Dan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, 230032, Hefei, Anhui, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, Anhui, China
| | - Hai-Feng Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, 230032, Hefei, Anhui, China. .,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, Anhui, China.
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, 230032, Hefei, Anhui, China. .,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, Anhui, China.
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11
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Li BZ, Wang H, Li XB, Zhang QR, Huang RG, Wu H, Wang YY, Li KD, Chu XJ, Cao NW, Zhou HY, Fang XY, Leng RX, Fan YG, Tao JH, Shuai ZW, Ye DQ. Altered gut fungi in systemic lupus erythematosus - A pilot study. Front Microbiol 2022; 13:1031079. [PMID: 36545195 PMCID: PMC9760866 DOI: 10.3389/fmicb.2022.1031079] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Accepted: 11/18/2022] [Indexed: 12/12/2022] Open
Abstract
Objective Gut fungi, as symbiosis with the human gastrointestinal tract, may regulate physiology via multiple interactions with host cells. The plausible role of fungi in systemic lupus erythematosus (SLE) is far from clear and need to be explored. Methods A total of 64 subjects were recruited, including SLE, rheumatoid arthritis (RA), undifferentiated connective tissue diseases (UCTDs) patients and healthy controls (HCs). Fecal samples of subjects were collected. Gut fungi and bacteria were detected by ITS sequencing and 16S rRNA gene sequencing, respectively. Alpha and beta diversities of microbiota were analyzed. Linear discriminant analysis effect size analysis was performed to identify abundance of microbiota in different groups. The correlation network between bacterial and fungal microbiota was analyzed based on Spearman correlation. Results Gut fungal diversity and community composition exhibited significant shifts in SLE compared with UCTDs, RA and HCs. Compared with HCs, the alpha and beta diversities of fungal microbiota decreased in SLE patients. According to principal coordinates analysis results, the constitution of fungal microbiota from SLE, RA, UCTDs patients and HCs exhibited distinct differences with a clear separation between fungal microbiota. There was dysbiosis in the compositions of fungal and bacterial microbiota in the SLE patients, compared to HCs. Pezizales, Cantharellales and Pseudaleuria were enriched in SLE compared with HCs, RA and UCTDs. There was a complex relationship network between bacterial and fungal microbiota, especially Candida which was related to a variety of bacteria. Conclusion This study presents a pilot analysis of fungal microbiota with diversity and composition in SLE, and identifies several gut fungi with different abundance patterns taxa among SLE, RA, UCTDs and HCs. Furthermore, the gut bacterial-fungal association network in SLE patients was altered compared with HCs.
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Affiliation(s)
- Bao-Zhu Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China,Inflammatory and Immune Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Hua Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China,Inflammatory and Immune Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Xian-Bao Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China,Inflammatory and Immune Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Qian-Ru Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China,Inflammatory and Immune Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Rong-Gui Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China,Inflammatory and Immune Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Hong Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China,Inflammatory and Immune Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Yi-Yu Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China,Inflammatory and Immune Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Kai-Di Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China,Inflammatory and Immune Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Xiu-Jie Chu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China,Inflammatory and Immune Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Nv-Wei Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China,Inflammatory and Immune Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Hao-Yue Zhou
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China,Inflammatory and Immune Diseases Laboratory of Anhui Province, Hefei, Anhui, China,The First Hospital of Jiaxing, Jiaxing, Zhejiang, China
| | - Xin-Yu Fang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China,Inflammatory and Immune Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Rui-Xue Leng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China,Inflammatory and Immune Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Yin-Guang Fan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China,Inflammatory and Immune Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Jin-Hui Tao
- Department of Rheumatology and Immunology, The First Affiliated Hospital of University of Science and Technology of China, Hefei, Anhui, China
| | - Zong-Wen Shuai
- Department of Rheumatology and Immunology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China,Inflammatory and Immune Diseases Laboratory of Anhui Province, Hefei, Anhui, China,*Correspondence: Dong-Qing Ye,
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12
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Wang XF, Xu WJ, Wang FF, Leng R, Yang XK, Ling HZ, Fan YG, Tao JH, Shuai ZW, Zhang L, Ye DQ, Leng RX. Telomere length and development of systemic lupus erythematosus: a Mendelian randomization study. Arthritis Rheumatol 2022; 74:1984-1990. [PMID: 35830513 DOI: 10.1002/art.42304] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2021] [Revised: 05/19/2022] [Accepted: 07/07/2022] [Indexed: 11/08/2022]
Abstract
OBJECTIVE Previous observational studies demonstrated that a subset of patients with systemic lupus erythematosus (SLE) have markedly short telomere length (TL) in leukocytes. The purpose of this study is to test whether leukocyte TL is causally associated with risk of SLE. METHODS A two-sample Mendelian randomization (TSMR) analysis was applied to estimate causality of TL on SLE in European populations. A replication TSMR study using Asian genetic data was also conducted. A backward MR analysis was then performed to test effects of SLE on TL. The autoantibodies targeting telomere-associated protein (TERF1 autoantibodies) were detected in SLE, healthy controls and rheumatoid arthritis (RA). RESULTS The results of inverse-variance weighted method (OR=2.96; 95% CI 1.58, 5.55; P<0.001) showed strong evidence for casual relationship between longer TL and risk of SLE in people with European ancestry. The outcomes of MR-Egger regression (OR=29.46, 95% CI 3.02, 287.60; P=0.033), and MR-PRESSO (OR=3.62; 95% CI 2.03, 6.46; P=0.002) also showed that longer TL was significantly associated with increased risk of SLE in European population. Sensitivity analyses using different methods and summary data sets showed that the results were still broadly consistent. Replication MR study using Asian genetic data yielded similar findings. However, the backward MR analysis showed that genetically predicted SLE was not causally associated with TL. In addition, we found that TERF1 autoantibodies were present in 2/40 (5.0%) patients with SLE. CONCLUSION In contrast with previous observational studies, MR analyses found that longer TL is significantly associated with increased risk of SLE.
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Affiliation(s)
- Xu-Fan Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, 230032, China
| | - Wen-Jing Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, 230032, China
| | - Fei-Fei Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, 230032, China
| | - Rui Leng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, 230032, China
| | - Xiao-Ke Yang
- Department of Rheumatology and Immunology, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, China
| | - Hua-Zhi Ling
- Department of Clinical Laboratory, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, China
| | - Yin-Guang Fan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, 230032, China
| | - Jin-Hui Tao
- Department of Rheumatology and Immunology, the First Affiliated Hospital of USTC, Hefei, Anhui, 230001, China
| | - Zong-Wen Shuai
- Department of Rheumatology and Immunology, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, China
| | - Li Zhang
- National Health Commission of the People's Republic of China, Key Laboratory of Enteric Pathogenic Microbiology (Jiangsu Provincial Center for Disease Control and Prevention), Nanjing, Jiangsu, 210009, China
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, 230032, China
| | - Rui-Xue Leng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, 230032, China
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13
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Wang H, Li XB, Chu XJ, Cao NW, Wu H, Huang RG, Li BZ, Ye DQ. Ambient air pollutants increase the risk of immunoglobulin E-mediated allergic diseases: a systematic review and meta-analysis. Environ Sci Pollut Res Int 2022; 29:49534-49552. [PMID: 35595897 PMCID: PMC9122555 DOI: 10.1007/s11356-022-20447-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 04/21/2022] [Indexed: 05/06/2023]
Abstract
Immunoglobulin E (IgE)-mediated allergic diseases, including eczema, atopic dermatitis (AD), and allergic rhinitis (AR), have increased prevalence in recent decades. Recent studies have proved that environmental pollution might have correlations with IgE-mediated allergic diseases, but existing research findings were controversial. Thus, we performed a comprehensive meta-analysis from published observational studies to evaluate the risk of long-term and short-term exposure to air pollutants on eczema, AD, and AR in the population (per 10-μg/m3 increase in PM2.5 and PM10; per 1-ppb increase in SO2, NO2, CO, and O3). PubMed, Embase, and Web of Science were searched to identify qualified literatures. The Cochran Q test was used to assess heterogeneity and quantified with the I2 statistic. Pooled effects and the 95% confidence intervals (CIs) were used to evaluate outcome effects. A total of 55 articles were included in the study. The results showed that long-term and short-term exposure to PM10 increased the risk of eczema (PM10, RRlong = 1.583, 95% CI: 1.328, 1.888; RRshort = 1.006, 95% CI: 1.003-1.008) and short-term exposure to NO2 (RRshort = 1.009, 95% CI: 1.008-1.011) was associated with eczema. Short-term exposure to SO2 (RRshort: 1.008, 95% CI: 1.001-1.015) was associated with the risk of AD. For AR, PM2.5 (RRlong = 1.058, 95% CI: 1.014-1.222) was harmful in the long term, and short-term exposure to PM10 (RRshort: 1.028, 95% CI: 1.008-1.049) and NO2 (RRshort: 1.018, 95% CI: 1.007-1.029) were risk factors. The findings indicated that exposure to air pollutants might increase the risk of IgE-mediated allergic diseases. Further studies are warranted to illustrate the potential mechanism for air pollutants and allergic diseases.
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Affiliation(s)
- Hua Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Xian-Bao Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Xiu-Jie Chu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Nv-Wei Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Hong Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Rong-Gui Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Bao-Zhu Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China.
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
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14
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Deng LJ, Fang XY, Wu J, Li QR, Mao YM, Leng RX, Fan YG, Ye DQ. Down-regulated ALKBH5 Expression Could Affect the Function of T Cells in Systemic Lupus Erythematosus Patients. Curr Pharm Des 2022; 28:2270-2278. [PMID: 35718974 DOI: 10.2174/1381612828666220617154204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 04/04/2022] [Indexed: 11/22/2022]
Abstract
BACKGROUND N6-methyladenosine (m6A) modification is widespread in eukaryotic mRNA, regulated by m6A demethylase, AlkB homolog 5 (ALKBH5). However, the role of m6A in systemic lupus erythematosus (SLE) is still obscure. We explored ALKBH5 expression in SLE patients and its effects on T cells. METHODS 100 SLE patients and 110 healthy controls were recruited to investigate the expression of ALKBH5 in peripheral blood mononuclear cells (PBMCs). An additional 32 SLE patients and 32 health controls were enrolled to explore the expression of ALKBH5 in T cells. Then we explored the function of ALKBH5 in T cells by lentivirus. RESULTS The expressions of ALKBH5 were downregulated in both PBMCs and T cells in SLE patients (all P<0.05). In PBMCs: ALKBH5 mRNA levels were associated with complement C4 level in plasma (P<0.05). In T cells: ALKBH5 mRNA levels were downregulated in SLE patients with low complement levels, high anti-dsDNA, anti-Sm, anti-RNP, and proteinuria compared with those without, respectively (all P<0.05); ALKBH5 mRNA levels were negatively related with SLE disease activity index score, erythrocyte sedimentation rate, and anti-dsDNA levels (all P<0.05), and positively correlated with complement C3 and C4 level (all P<0.05). Functionally, the overexpression of ALKBH5 promoted apoptosis and inhibited the proliferation of T cells (all P<0.05). CONCLUSION ALKBH5 expression is downregulated in SLE patients and could affect the apoptosis and proliferation of T cells, but the exact mechanism still needs to be further explored.
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Affiliation(s)
- Li-Jun Deng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China.,Anhui Province Laboratory of Inflammation and Immune Mediated Diseases, Anhui Medical University, Hefei, Anhui, 230032, China
| | - Xin-Yu Fang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China.,Anhui Province Laboratory of Inflammation and Immune Mediated Diseases, Anhui Medical University, Hefei, Anhui, 230032, China
| | - Jun Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China.,Anhui Province Laboratory of Inflammation and Immune Mediated Diseases, Anhui Medical University, Hefei, Anhui, 230032, China
| | - Qing-Ru Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China.,Anhui Province Laboratory of Inflammation and Immune Mediated Diseases, Anhui Medical University, Hefei, Anhui, 230032, China
| | - Yan-Mei Mao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China.,Anhui Province Laboratory of Inflammation and Immune Mediated Diseases, Anhui Medical University, Hefei, Anhui, 230032, China
| | - Rui-Xue Leng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China.,Anhui Province Laboratory of Inflammation and Immune Mediated Diseases, Anhui Medical University, Hefei, Anhui, 230032, China
| | - Yin-Guang Fan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China.,Anhui Province Laboratory of Inflammation and Immune Mediated Diseases, Anhui Medical University, Hefei, Anhui, 230032, China
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China.,Anhui Province Laboratory of Inflammation and Immune Mediated Diseases, Anhui Medical University, Hefei, Anhui, 230032, China
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15
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Ashuro AA, Zhang SC, Wang T, Chu QS, Fu YS, Fan YG, Ye DQ. The Effect of protease inhibitors-based antiretroviral therapy on serum/plasma interleukin-6 levels among PLHIV: a systematic review and meta-analysis. J Med Virol 2022; 94:4669-4676. [PMID: 35665943 DOI: 10.1002/jmv.27912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 05/15/2022] [Accepted: 05/31/2022] [Indexed: 11/07/2022]
Abstract
INTRODUCTION Recommended treatment regimen for HIV infection includes protease inhibitors/ritonavir (PIs/r) combined with two nucleoside reverse transcriptase inhibitors (2NRTIs), that enable to achieve and maintain viral suppression, restore and preserve immune function. However, there were inconsistent findings on the levels of interleukin-6 levels (IL-6). METHODOLOGY Systematic review and meta-analysis were performed to quantify the pooled effects of PIs/r-based ART on serum/plasma IL-6 levels in PLHIV. PubMed, Web of Science, and Embase were searched from the earliest record to November 4, 2020. Data analysis was conducted on Stata version 16 and Review Manager 5.3. A random-effect model was used to compute a pooled effect size and weighted mean difference (WMD) was considered the summary effect size. Heterogeneity between studies was estimated by Cochrane's Q test (chi-square test) and I-square statistic and subgroup analysis were performed to explore the source of heterogeneity. RESULT Initial search identified 3098 records and five studies (seven trials) met inclusion criteria. The pooled mean difference in serum/plasma IL-6 levels from baseline to follow-up was 0.534 pg/ml (95% CI: -0.012, 1.08, P=0.05, I2 =76.4%). In subgroup analysis, there was a significant association between increased serum/plasma IL-6 levels, and age group ≥35 years old, baseline CD4+ counts <350 cell/mm3 , and mean viral load ≥ 4.5 log10 copies/ml. CONCLUSION We found that serum/plasma IL-6 levels increased after combined anti-retroviral therapy (cART) among treatment-naïve individuals who initiated a successful combination of PIs/r with 2NRTIs. This result also highlights the need to monitor serum/plasma IL-6 levels during antiviral therapy, which may aid in the effective future treatment of systemic inflammation and related disorders following elevated IL-6 levels. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Akililu Alemu Ashuro
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, PR China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, China, 81 Meishan Road, Hefei, Anhui, 230032, PR China
| | - Si-Chen Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, PR China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, China, 81 Meishan Road, Hefei, Anhui, 230032, PR China
| | - Ting Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, PR China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, China, 81 Meishan Road, Hefei, Anhui, 230032, PR China
| | - Qin-Shu Chu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, PR China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, China, 81 Meishan Road, Hefei, Anhui, 230032, PR China
| | - Yuan-Sheng Fu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, PR China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, China, 81 Meishan Road, Hefei, Anhui, 230032, PR China
| | - Yin-Guang Fan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, PR China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, China, 81 Meishan Road, Hefei, Anhui, 230032, PR China
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, PR China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, China, 81 Meishan Road, Hefei, Anhui, 230032, PR China
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16
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Wu J, Ye Q, Fang L, Deng L, Liao T, Liu B, Lv X, Zhang J, Tao J, Ye D. Short-term association of NO 2 with hospital visits for chronic kidney disease and effect modification by temperature in Hefei, China: A time series study. Ecotoxicol Environ Saf 2022; 237:113505. [PMID: 35462193 DOI: 10.1016/j.ecoenv.2022.113505] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 04/05/2022] [Accepted: 04/07/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND A large body of evidence has linked air pollution and temperature with chronic kidney disease (CKD) prevalence and hospitalizations. However, most studies have focused on the influence of heat stress on CKD prevalence, and the potential effect modification of temperature on the association between air pollution and CKD has not been well-investigated. In this study, we examined the associations of the whole temperature spectrum and air pollution with CKD-related hospital visits and explored whether temperature modifies the short-term association of air pollution with CKD-related hospital visits. METHODS AND FINDINGS We collected 40 276 CKD-related hospital visits from the first Affiliated Hospital of Anhui Medical University and Anhui Provincial Hospital in Hefei, China, during 2015-2019. A two-stage time-series design was conducted to investigate the associations of air pollution and daily mean temperature with CKD-related hospital visits. First, we estimated the associations between air pollution and CKD-related hospital visits as well as temperature and CKD-related hospital visits. Second, we analyzed the associations of air pollution with CKD hospital visits at different temperatures. We found that NO2 exposure and low temperature were associated with an increased risk of CKD-related hospital visits. Low temperature enhanced the association between NO2 exposure and CKD-related hospital visits, with an increase of 4.30% (95% CI: 2.47-5.92%) per 10 μg/m3 increment in NO2 at low temperature. Effect modification of the association between NO2 and the risk of CKD-related hospital visits was stronger at low temperature across the whole population. CONCLUSIONS Our findings indicate that low temperature-related chronic kidney damage should be of immediate public health concern. Impact of NO2 exposure on the risk of CKD-related hospital visits may increase under the low temperature, which suggests the need for NO2 exposure mitigation strategies in the context of climate change and an enhanced understanding of the mechanisms underlying the temperature variance of air pollution effect to help reduce the magnitude of the CKD burden on the healthcare systems.
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Affiliation(s)
- Jun Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - QianLing Ye
- Department of Oncology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China
| | - LanLan Fang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - LiJun Deng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Tao Liao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Bo Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - XiaoJie Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Jie Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - JinHui Tao
- Department of Rheumatology & Immunology, Anhui Provincial Hospital, Hefei, Anhui, China.
| | - DongQing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China.
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17
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Chen HJ, Wang H, Qiu LJ, Ling HY, Wu LL, Wang TR, Zhou Y, Xue Y, Ye DQ, Wang B. Relation Among Anxiety, Depression, Sleep Quality and Health-Related Quality of Life Among Patients with Systemic Lupus Erythematosus: Path Analysis. Patient Prefer Adherence 2022; 16:1351-1358. [PMID: 35642245 PMCID: PMC9148601 DOI: 10.2147/ppa.s366083] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 05/10/2022] [Indexed: 11/24/2022] Open
Abstract
Purpose This study aimed to examine the relationship between anxiety, depression, sleep quality and health-related quality of life among systemic lupus erythematosus (SLE) patients in China. Patients and Methods After ethical approval and obtaining participants' informed consent, a cross-sectional study was conducted in The First Affiliated Hospital of Anhui Medical University between October 1, 2021 and January 30, 2022. The data comprised demographic information, number of SLE symptoms, Hospital Anxiety and Depression Scale (HADS), Pittsburgh Sleep Quality Index (PSQI) and Systemic Lupus Erythematosus-Specific Quality of Life Questionnaire (SLEQoL). We performed descriptive statistics, Spearman or Pearson correlations, and multiple linear regression. And Path analysis was performed to examine direct and indirect associations between these variables and health-related quality of life. Results A total of 580 patients were recruited and 513 met our target criteria. Our final model fitted the data well: goodness-of-fit index (GFI) =0.996; adjusted goodness-of-fit index (AGFI) =0.974; comparative fit index (CFI) =0.998; root mean square error of approximation (RMSEA) =0.043. This model explained 57.3% of the variance on health-related quality of life (HRQoL) in patients with SLE and all the hypothesized paths reached significance (P<0.05). Anxiety, depression, sleep quality, income/family, and number of SLE symptoms were related to health-related quality of life, and anxiety had the most influence on HRQoL (β=0.561). Conclusion The study model helps to explain the relation among anxiety, depression, sleep quality and health-related quality of life in patients with SLE. It also suggests that health care professionals should be aware of factors such as anxiety, sleep quality, number of SLE symptoms, and depression in their care for HRQoL of SLE patients.
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Affiliation(s)
- Hui-Juan Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, People’s Republic of China
- The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, Hefei, People’s Republic of China
| | - Hong Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, People’s Republic of China
- The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, Hefei, People’s Republic of China
| | - Li-Juan Qiu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, People’s Republic of China
- The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, Hefei, People’s Republic of China
| | - Hua-Yun Ling
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, People’s Republic of China
- The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, Hefei, People’s Republic of China
| | - Ling-Ling Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, People’s Republic of China
- The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, Hefei, People’s Republic of China
| | - Ting-Rui Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, People’s Republic of China
- The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, Hefei, People’s Republic of China
| | - Ying Zhou
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, People’s Republic of China
- The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, Hefei, People’s Republic of China
| | - Yu Xue
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, People’s Republic of China
- The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, Hefei, People’s Republic of China
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, People’s Republic of China
- The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, Hefei, People’s Republic of China
| | - Bin Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, People’s Republic of China
- The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, Hefei, People’s Republic of China
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18
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Li XB, Chu XJ, Cao NW, Wang H, Fang XY, Fan YG, Li BZ, Ye DQ. Proton pump inhibitors induce changes in the gut microbiome composition of systemic lupus erythematosus patients. BMC Microbiol 2022; 22:117. [PMID: 35477382 PMCID: PMC9043501 DOI: 10.1186/s12866-022-02533-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 04/20/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Currently, few studies focus on the association between gut microbiota and systemic lupus erythematosus (SLE), and much less studies consider the effect of drug usage. Proton pump inhibitors (PPIs) are commonly used to treat drug-related gastrointestinal damage in SLE patients. Therefore, the purpose of this study is to examine the gut microbiota of SLE patients using PPIs. METHODS Fecal samples from 20 SLE patients with PPIs (P-SLE), 20 SLE patients without PPIs (NP-SLE) and 17 healthy controls (HCs) were obtained. The structure of the bacterial community in the fecal samples was analyzed by 16S rRNA gene sequencing. Redundancy analysis (RDA) was performed to observe the relationship between clinical variables and microbiome composition in P-SLE and NP-SLE patients. Based on the Kyoto Encyclopedia of Genes and Genomes (KEGG) database, functional capabilities of microbiota were estimated. Network analysis was performed to analyze the association of metabolic pathway alterations with altered gut microbiota in P-SLE and NP-SLE patients. RESULTS P-SLE patients exhibited increased alpha-diversity and an altered composition of the gut microbiota compared with NP-SLE patients. The alpha-diversity of NP-SLE patients was significantly lower than HCs but also of P-SLE patients, whose alpha-diversity had become similar to HCs. Compared with NP-SLE patients, the relative abundances of Lactobacillus, Roseburia, Oxalobacter, and Desulfovibrio were increased, while those of Veillonella, Escherichia, Morganella, Pseudomonas and Stenotrophomonas were decreased in P-SLE patients. RDA indicated that PPI use was the only significant exploratory variable for the microbiome composition when comparing SLE patients. KEGG analysis showed that 16 metabolic pathways were significantly different between NP-SLE and P-SLE patients. These metabolic pathways were mainly associated with changes in Escherichia, Roseburia, Stenotrophomonas, Morganella and Alipipes as determined by the network analysis. CONCLUSIONS PPI use is associated with an improved microbiome composition of SLE patients as it 1) increases alpha-diversity levels back to normal, 2) increases the abundance of various (beneficial) commensals, and 3) decreases the abundance of certain opportunistic pathogenic genera such as Escherichia. Validation studies with higher patient numbers are however recommended to explore these patterns in more detail.
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Affiliation(s)
- Xian-Bao Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Xiu-Jie Chu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Nv-Wei Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Hua Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Xin-Yu Fang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Yin-Guang Fan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Bao-Zhu Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China. .,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China.
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China. .,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China.
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Wu J, Deng LJ, Xia YR, Leng RX, Fan YG, Pan HF, Ye DQ. Involvement of N6-methyladenosine modifications of long noncoding RNAs in systemic lupus erythematosus. Mol Immunol 2022; 143:77-84. [PMID: 35051888 DOI: 10.1016/j.molimm.2022.01.006] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 11/17/2021] [Accepted: 01/11/2022] [Indexed: 12/17/2022]
Abstract
BACKGROUND LncRNAs are potential biomarkers for SLE, but the epigenetic regulatory mechanisms of N6-methyladenosine (m6A) modification in SLE remain largely unclear. METHODS In this study, we established m6A modification profile and investigated the potential roles of m6A-related lncRNAs in SLE. The m6A modification profile of SLE was established using MeRIP-seq. Four potential m6A related-lncRNAs (linc02446, linc01410, Xist, and PSMB8-AS1) were selected for validation using qRT-PCR, and their expression and association with clinical characteristics with SLE were evaluated. RESULTS Overall, m6A level was lower in patients with SLE than in controls. Compared with controls, the expression of the two m6A related-lncRNAs (Xist and PSMB8-AS1) was downregulated in patients with SLE (all P < 0.05); the linc02446 was up-regulated in PBMCs of patients with SLE (Z=-2.738, P = 0.006), while it was not differentially expressed in T cells (Z=-0.387, P = 0.699). No significant alteration in linc01410 expression was observed in patients (Z=-0.940, P = 0.347). The lower expression levels of Xist and PSMB8-AS1 were associated with many clinical manifestations in patients with SLE (all P < 0.05). Additionally, mRNAs co-expressed with m6A related-lncRNAs (Xist, linc02446, and PSMB8-AS1) also participated in SLE. CONCLUSION These results suggest that m6A methylation and m6A related-lncRNAs might be involved in the pathogenesis of SLE. Thus, our findings provide some clues on the potential function of lncRNAs that m6A modification may target in novel therapeutic or diagnostic strategies for SLE.
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Affiliation(s)
- Jun Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Laboratory of Inflammation and Immune Mediated Diseases, Anhui Medical University, Hefei, Anhui, 230032, China
| | - Li-Jun Deng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Laboratory of Inflammation and Immune Mediated Diseases, Anhui Medical University, Hefei, Anhui, 230032, China
| | - Yuan-Rui Xia
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Laboratory of Inflammation and Immune Mediated Diseases, Anhui Medical University, Hefei, Anhui, 230032, China
| | - Rui-Xue Leng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Laboratory of Inflammation and Immune Mediated Diseases, Anhui Medical University, Hefei, Anhui, 230032, China
| | - Yin-Guang Fan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Laboratory of Inflammation and Immune Mediated Diseases, Anhui Medical University, Hefei, Anhui, 230032, China
| | - Hai-Feng Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Laboratory of Inflammation and Immune Mediated Diseases, Anhui Medical University, Hefei, Anhui, 230032, China
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Laboratory of Inflammation and Immune Mediated Diseases, Anhui Medical University, Hefei, Anhui, 230032, China.
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20
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Chen Y, Xu Z, Wang P, Li XM, Shuai ZW, Ye DQ, Pan HF. New-onset autoimmune phenomena post COVID-19 vaccination. Immunology 2021; 165:386-401. [PMID: 34957554 DOI: 10.1111/imm.13443] [Citation(s) in RCA: 229] [Impact Index Per Article: 76.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 11/28/2021] [Accepted: 12/22/2021] [Indexed: 01/08/2023] Open
Abstract
Coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to an unprecedented setback for global economy and health. Vaccination is one of the most effective intervention to substantially reduce severe disease and death due to SARS-CoV-2 infection. Vaccination programs are being rolled out globally, but most of these vaccines have been approved without extensive studies on their side effects and efficacy. Recently, new-onset autoimmune phenomena after COVID-19 vaccination have been reported increasingly (e.g., immune thrombotic thrombocytopenia, autoimmune liver diseases, Guillain-Barré syndrome, IgA nephropathy, rheumatoid arthritis and systemic lupus erythematosus, etc.). Molecular mimicry, the production of particular autoantibodies and the role of certain vaccine adjuvants seem to be substantial contributors to autoimmune phenomena. However, whether the association between COVID-19 vaccine and autoimmune manifestations is coincidental or causal remains to be elucidated. Here, we summarize the emerging evidence about autoimmune manifestations occurring in response to certain COVID-19 vaccines. Although information pertaining to the risk of autoimmune disease as a consequence of vaccination is controversial, we merely propose our current understanding of autoimmune manifestations associated with COVID-19 vaccine. In fact, we do not aim to disavow the overwhelming benefits of mass COVID-19 vaccination in preventing COVID-19 morbidity and mortality. These reports could help guide clinical assessment and management of autoimmune manifestations after COVID-19 vaccination.
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Affiliation(s)
- Yue Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, Anhui, 230032, China
| | - Zhiwei Xu
- School of Public Health, Faculty of Medicine, University of Queensland, 288 Herston Road, QLD, 4006, Brisbane, Australia
| | - Peng Wang
- Teaching Center of Preventive Medicine, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
| | - Xiao-Mei Li
- Department of Rheumatology, the First Affiliated Hospital of University of Science and Technology of China, 17 Lujiang Road, Hefei, Anhui, 230001, China
| | - Zong-Wen Shuai
- Department of Rheumatology and Immunology, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230032, China
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, Anhui, 230032, China
| | - Hai-Feng Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, Anhui, 230032, China
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21
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Mao YM, Wang P, Wang XY, Ye DQ. Global Public Interest and Seasonal Variations in Alzheimer's Disease: Evidence From Google Trends. Front Med (Lausanne) 2021; 8:778930. [PMID: 34957153 PMCID: PMC8703029 DOI: 10.3389/fmed.2021.778930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Accepted: 11/22/2021] [Indexed: 12/01/2022] Open
Abstract
Background: As the world's population ages, Alzheimer's disease (AD), a common neurodegenerative disease, is a major challenge to human health in the future. Understanding the information needs on AD of the global public can contribute to the prevention and control of AD. The purpose of this study was to explore global public interest and seasonal variations in AD using Google Trends (GT). Methods: GT was used to obtain relative search volume (RSV) of the keyword "Alzheimer's disease" in six English-speaking countries (Australia, New Zealand, the USA, the UK, Canada, and Ireland) and the world from January 2004 to December 2020. Cosinor analysis was applied to detect the seasonality of AD-related RSV. Time series plot was used to observe the trend of annual mean AD-related RSV. Globally, hot topics and top rising topics related to AD were also analyzed. In addition, we also explored the geographical distribution characteristics of AD-related RSV. Results: AD-related RSV declined steadily from January 2004 to December 2013 and rose steadily from January 2014 to December 2020. Search popularity of AD is low in the southern hemisphere, compared to the northern hemisphere. Cosinor analysis showed that there were significant seasonal variations in AD-related RSV in six English-speaking countries (all P < 0.05). Interestingly, regardless of the hemisphere, peaks were observed in the winter months and trough in the summer months. Topics related to the characteristics and etiology of AD, early onset AD, AD-related associations, care of AD patients, and diseases that can easily be confused with AD had received special attention. Conclusions: There is increasing global public interest for AD and a significant seasonal variation in AD. A better understanding of the seasonal variations and public interest of AD by governments, health workers and patients can contribute to the prevention, management, and treatment of AD.
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Affiliation(s)
- Yan-Mei Mao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Peng Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Xiao-Yu Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
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22
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Li XB, Cao NW, Chu XJ, Zhou HY, Wang H, Yu SJ, Ye DQ, Li BZ. Antimalarials may reduce cancer risk in patients with systemic lupus erythematosus: a systematic review and meta-analysis of prospective studies. Ann Med 2021; 53:1687-1695. [PMID: 34553648 PMCID: PMC8462850 DOI: 10.1080/07853890.2021.1981547] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 09/12/2021] [Indexed: 01/01/2023] Open
Abstract
OBJECTIVE To investigate the effect of antimalarials on cancer risk in patients with systemic lupus erythematosus (SLE). METHODS PubMed, EMBASE, Web of Science, and the Cochrane Library were searched from their inception to October 3, 2020. Relative risk (RR) with 95% confidence intervals (CI) was used to evaluate the results. Subgroup analyses were used to assess heterogeneity. A funnel plot was used to explore publication bias. STATA was applied for all analyses. RESULTS A total of nine studies consisted of four nested case-control, two case-cohort and three cohort studies were included. The results showed that antimalarials might reduce the risk of cancer in SLE (RR = 0.68, 95%CI: 0.55-0.85). In the subgroup analysis of four nested case-control and two case-cohort studies, the pooled RR was estimated as 0.69 (95% CI: 0.60-0.80). In four studies about hydroxychloroquine, the pooled RR was estimated as 0.70 (95% CI: 0.53-0.93). Antimalarials might reduce the risk of cancer in SLE among the Asian population (RR = 0.66; 95% CI: 0.49-0.88) (I2 = 43.1%, p = .173). And the consistent result was also found in SLE from multiple centres (RR = 0.72; 95%CI: 0.60-0.87) (I2 = 0%, p = .671). On disease course- and comorbidities-matched studies, the pooled RRs were 0.69 (95% CI: 0.52-0.93) and 0.59 (95% CI: 0.46-0.75), respectively. CONCLUSION Results of this meta-analysis showed that antimalarial drugs might be protective factors for cancer in SLE. Hydroxychloroquine might be a protective factor for cancer in SLE patients.KEY MESSAGESAntimalarials might be protective factors for cancer in SLE.Hydroxychloroquine might be a protective factor for cancer in SLE patients.The first article to perform the meta-analysis of antimalarial drugs on the risk of cancer in SLE patients.
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Affiliation(s)
- Xian-Bao Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Anhui Provincial Laboratory of Inflammatory and Immune Diseases, Hefei, Anhui, China
| | - Nv-Wei Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Anhui Provincial Laboratory of Inflammatory and Immune Diseases, Hefei, Anhui, China
| | - Xiu-Jie Chu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Anhui Provincial Laboratory of Inflammatory and Immune Diseases, Hefei, Anhui, China
| | - Hao-Yue Zhou
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Anhui Provincial Laboratory of Inflammatory and Immune Diseases, Hefei, Anhui, China
| | - Hua Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Anhui Provincial Laboratory of Inflammatory and Immune Diseases, Hefei, Anhui, China
| | - Si-Jie Yu
- Department of Clinical Medicine “5 + 3” Integration, Second Clinical Medical College, Anhui Medical University, Hefei, Anhui, China
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Anhui Provincial Laboratory of Inflammatory and Immune Diseases, Hefei, Anhui, China
| | - Bao-Zhu Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Anhui Provincial Laboratory of Inflammatory and Immune Diseases, Hefei, Anhui, China
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23
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Abstract
OBJECTIVE To investigated the association between single nucleotide polymorphisms (SNPs) in microRNA-146a (miR-146a) gene and susceptibility of rheumatoid arthritis (RA). METHODS We systemically extracted the genetic data of miR-146a from previous genome-wide association studies (GWASs) of RA. Subsequently, we performed a replication study in an independent Chinese cohort for selected variant. A meta-analysis combined the previous GWASs with the replication study was also conducted. The epigenetic annotation and cytokine assay were used for exploring potential variant function. RESULTS The extracted genetic association data from three previous GWASs showed that the allele T of functional SNP rs2431697 increased RA susceptibility. The significant association for the SNP was also found in the Chinese replication cohort (OR = 1.24, 95% CI = 1.06-1.46, p = 8.69E-03). The estimated effect size for this SNP was larger in Asian population than that in European population (Asian meta-analysis: OR = 1.15, 95% CI = 1.09-1.22, p = 4.37E-07; Tran-ethnic meta-analysis: OR = 1.07, 95% CI = 1.04-1.10, p = 1.79E-06). The cytokine assay also showed that the risk allele T of the SNP rs2431697 is inversely associated with plasma TNF-α levels in health controls (p = .016). CONCLUSIONS In summary, this study supports that genetic variant in miR-146a gene is associated with RA risk.KEY MESSAGESThe association between SNPs in miR-146a gene and susceptibility of RA was unclear.We investigated the genetic association using GWASs data and a replication study.The SNP rs2431697 in miR-146a gene is associated with RA risk.
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Affiliation(s)
- Lin-Lin Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, PR China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, PR China
| | - Xiao-Xiao Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, PR China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, PR China
| | - Xu-Fan Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, PR China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, PR China
| | - Dong-Sheng Di
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, PR China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, PR China
| | - Qian Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, PR China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, PR China
| | - Rui-Shan Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, PR China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, PR China
| | - Zong-Wen Shuai
- Department of Rheumatology and Immunology, the First Affiliated Hospital of Anhui Medical University, Hefei, PR China
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, PR China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, PR China
| | - Rui-Xue Leng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, PR China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, PR China
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24
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Ashuro AA, Fan YG, Fu YS, Di DS, Sam NB, Pan HF, Ye DQ. The Effect of Rosuvastatin on Plasma/Serum Levels of High-Sensitivity C-Reactive Protein, Interleukin-6, and D-Dimer in People Living with Human Immunodeficiency Virus: A Systematic Review and Meta-Analysis. AIDS Res Hum Retroviruses 2021; 37:821-833. [PMID: 33913752 DOI: 10.1089/aid.2020.0273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Rosuvastatin therapy might have an effect on the inflammatory and coagulation biomarkers. However, the evidence about the effect of rosuvastatin therapy on the high-sensitivity C-reactive protein (hsCRP), interleukin-6 (IL-6), and D-dimer levels among people living with human immunodeficiency virus (PLHIV) is still unclear. Therefore, this study investigated the relational effect of rosuvastatin therapy on serum/plasma hsCRP, IL-6 and D-dimer levels in PLHIV. The literature search was done from Embase, PubMed, and Web of Science databases. The review and meta-analysis included studies written in English language up to January 4, 2020. Random effects model was used to evaluate the pooled standard mean difference with 95% confidence interval. A meta-analysis was performed using nine articles with 392 PLHIV. The result revealed that the plasma/serum levels of IL-6 were significantly reduced after the intervention. However, hsCRP and D-dimer levels showed no significant difference (p > .05) between before and after the intervention. The subgroup analysis showed that there was significant association between PLHIV ages <45 years and cohort studies with IL-6 levels. The current CD4+ counts ≥350 cells/mm3 correlated with hsCRP as well as IL-6. Similarly, nadir CD4+ counts ≥200 cells/mm3 and duration of HIV diagnosis <10 years also showed significant association with IL-6 and D-dimer levels. It was also indicated that participants who were under antiretroviral drug for <7 years were significantly associated with hsCRP levels. This study established that IL-6 levels were significantly reduced after the intervention while hsCRP and D-dimer levels showed no significant difference between before and after the intervention.
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Affiliation(s)
- Akililu Alemu Ashuro
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
| | - Yin-Guang Fan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Yuan-Sheng Fu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
| | - Dong-Sheng Di
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Napoleon Bellua Sam
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
| | - Hai-Feng Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
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25
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Tang C, Li QR, Mao YM, Xia YR, Guo HS, Wang JP, Shuai ZW, Ye DQ. Association between ambient air pollution and multiple sclerosis: a systemic review and meta-analysis. Environ Sci Pollut Res Int 2021; 28:58142-58153. [PMID: 34109523 DOI: 10.1007/s11356-021-14577-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/20/2021] [Accepted: 05/21/2021] [Indexed: 06/12/2023]
Abstract
Recently, increasing attention has been paid to the effects of air pollutants on autoimmune diseases. The results of relationship between ambient air pollution and multiple sclerosis (MS) showed a variety of differences. Thus, the purpose of this study is to further clarify and quantify the relationship between ambient air pollutants and MS through meta-analysis. Through electronic literature search, literature related to our research topic was collected in Cochrane Library, Embase, and PubMed till August 18, 2020, according to certain criteria. Pooled risk estimate and 95% confidence intervals (95%CI) were calculated by random-effect model analysis. After removing copies, browsing titles and abstracts, and reading full text, 6 studies were finally included. The results showed that only particulate matter (PM) with aerodynamic diameter ≤ 10 (PM10) was related to MS (pooled HR = 1.058, 95% CI = 1.050-1.066), and no correlation was found between PM with aerodynamic diameter < 2.5 (PM2.5), nitrogen dioxide (NO2), carbon monoxide (CO), ozone (O3), benzene (C6H6), major road < 50 m, and MS. There was no publication bias, and the heterogeneity analysis results were stable. PM10 is correlated with the disease MS, while other pollution is not connected with MS. Therefore, it is important for MS patients to take personal protection against particulate pollution and avoid exposure to higher levels of PM.
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Affiliation(s)
- Chao Tang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Province Laboratory of Inflammation and Immune Mediated Diseases, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Qing-Ru Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Province Laboratory of Inflammation and Immune Mediated Diseases, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Yan-Mei Mao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Province Laboratory of Inflammation and Immune Mediated Diseases, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Yuan-Rui Xia
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Province Laboratory of Inflammation and Immune Mediated Diseases, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Heng-Sheng Guo
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Province Laboratory of Inflammation and Immune Mediated Diseases, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Jun-Ping Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Province Laboratory of Inflammation and Immune Mediated Diseases, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Zong-Wen Shuai
- Department of Rheumatology and Immunology, The First Affiliated Hospital of Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Province Laboratory of Inflammation and Immune Mediated Diseases, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.
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26
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Wang ZH, Dai ZW, Dong YY, Wang H, Yuan FF, Wang B, Ye DQ. Urinary Tumor Necrosis Factor-Like Weak Inducer of Apoptosis as a Biomarker for Diagnosis and Evaluating Activity in Lupus Nephritis: A Meta-analysis. J Clin Rheumatol 2021; 27:272-277. [PMID: 32028305 DOI: 10.1097/rhu.0000000000001316] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVE Urinary tumor necrosis factor-like weak inducer of apoptosis (uTWEAK) has been identified as a candidate biomarker for lupus nephritis (LN). However, its diagnostic value remains unclear. This meta-analysis was conducted to comprehensively evaluate the value of uTWEAK for diagnosis and evaluating activity in LN. METHODS Medline, Web of Science, Chinese Biomedical Medical, and Chinese National Knowledge Infrastructure databases were searched to acquire eligible studies published before September 30, 2019. The quality of the studies was evaluated by Quality Assessment of Diagnostic Accuracy Studies-2. Summary receiver operating characteristic curve and area under the curve were applied to summarize the overall diagnostic performances. The pooled sensitivity, specificity, and diagnostic odds ratio (DOR) were calculated with the fixed-effects model. RevMan 5.3, Stata 12.0, and Meta-disc 1.4 software were used. RESULTS A total of 7 studies were included. Of these, 4 studies were available for comparison between SLE with and without LN, and 3 studies were for active and inactive LN. The total area under the curve was 0.8640, and DOR was 14.89 (95% confidence interval [CI], 7.95-27.86). For LN diagnosis, the pooled sensitivity, specificity, and DOR were 0.55 (95% CI, 0.47-0.63), 0.92 (95% CI, 0.86-0.96), and 16.54 (95% CI, 7.57-36.15), respectively. For assessing LN activity, the pooled sensitivity, specificity, and DOR were 0.91 (95% CI, 0.82-0.96), 0.70 (95% CI, 0.58-0.81), and 18.45 (95% CI, 7.45-45.87), respectively. CONCLUSIONS This meta-analysis indicated that uTWEAK has relatively moderate sensitivity and specificity for diagnosis and evaluating activity in LN, suggesting that uTWEAK can serve as a helpful biomarker for LN.
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Xiang K, Wang P, Xu Z, Hu YQ, He YS, Chen Y, Feng YT, Yin KJ, Huang JX, Wang J, Wu ZD, Yang XK, Wang DG, Ye DQ, Pan HF. Causal Effects of Gut Microbiome on Systemic Lupus Erythematosus: A Two-Sample Mendelian Randomization Study. Front Immunol 2021; 12:667097. [PMID: 34557183 PMCID: PMC8453215 DOI: 10.3389/fimmu.2021.667097] [Citation(s) in RCA: 81] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Accepted: 08/16/2021] [Indexed: 12/19/2022] Open
Abstract
The observational association between gut microbiome and systemic lupus erythematosus (SLE) has been well documented. However, whether the association is causal remains unclear. The present study used publicly available genome-wide association study (GWAS) summary data to perform two-sample Mendelian randomization (MR), aiming to examine the causal links between gut microbiome and SLE. Two sets of MR analyses were conducted. A group of single nucleotide polymorphisms (SNPs) that less than the genome-wide statistical significance threshold (5 × 10-8) served as instrumental variables. To obtain a comprehensive conclusion, the other group where SNPs were smaller than the locus-wide significance level (1 × 10-5) were selected as instrumental variables. Based on the locus-wide significance level, the results indicated that there were causal effects of gut microbiome components on SLE risk. The inverse variance weighted (IVW) method suggested that Bacilli and Lactobacillales were positively correlated with the risk of SLE and Bacillales, Coprobacter and Lachnospira were negatively correlated with SLE risk. The results of weighted median method supported that Bacilli, Lactobacillales, and Eggerthella were risk factors for SLE and Bacillales and Coprobacter served as protective factors for SLE. The estimates of MR Egger suggested that genetically predicted Ruminiclostridium6 was negatively associated with SLE. Based on the genome-wide statistical significance threshold, the results showed that Actinobacteria might reduce the SLE risk. However, Mendelian randomization pleiotropy residual sum and outlier (MR-PRESSO) detected significant horizontal pleiotropy between the instrumental variables of Ruminiclostridium6 and outcome. This study support that there are beneficial or detrimental causal effects of gut microbiome components on SLE risk.
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Affiliation(s)
- Kun Xiang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Peng Wang
- Center for Genetic Epidemiology and Genomics, School of Public Health, Soochow University Medical College, Suzhou, China
| | - Zhiwei Xu
- School of Public Health, Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
| | - Yu-Qian Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Yi-Sheng He
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Yue Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Ya-Ting Feng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Kang-Jia Yin
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Ji-Xiang Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Jie Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Zheng-Dong Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Xiao-Ke Yang
- Department of Rheumatology and Immunology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - De-Guang Wang
- Department of Nephrology, Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Hai-Feng Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
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28
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Mao YM, He YS, Wu GC, Hu YQ, Xiang K, Liao T, Yan YL, Yang XK, Shuai ZW, Wang GH, Pan HF, Ye DQ. Association of MALAT-1 gene single nucleotide polymorphisms with genetic susceptibility to systemic lupus erythematosus. Lupus 2021; 30:1923-1930. [PMID: 34482739 DOI: 10.1177/09612033211040366] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Background: Abnormal expression and function of long non-coding RNAs (lncRNAs) are closely related to the pathogenesis of systemic lupus erythematosus (SLE). In this study, we aimed to investigate the association of lncRNA metastasis-associated lung adenocarcinoma transcript 1 (MALAT-1) gene single-nucleotide polymorphisms (SNPs) with susceptibility and clinical characteristics of SLE patients. Methods: A case-control study including 489 SLE patients and 492 healthy controls was conducted. Four MALAT-1 SNPs (rs4102217, rs591291, rs11227209, and rs619586) were genotyped in all subjects, their correlation with SLE susceptibility and clinical characteristics were also analyzed. Results: Results showed that the rs4102217 locus was associated with the risk of SLE. In recessive models, the GG+CG genotype of rs4102217 was associated with the decreased risk of SLE compared to CC (p = 0.036, OR = 0.348, 95% CI: 0.124-0.975). In additive models, the GG genotype of rs4102217 was associated with the decreased risk of SLE compared to CC (p = 0.040, OR = 0.355, 95% CI: 0.127-0.996). However, no association was found between MALAT-1 gene polymorphism and clinical manifestations of SLE (all p > 0.05). Conclusion: In summary, MALAT-1 rs4102217 is associated with susceptibility to SLE, suggesting that MALAT-1 may play a role in SLE.
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Affiliation(s)
- Yan-Mei Mao
- Department of Epidemiology and Biostatistics, School of Public Health, 12485Anhui Medical University, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Yi-Sheng He
- Department of Epidemiology and Biostatistics, School of Public Health, 12485Anhui Medical University, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Guo-Cui Wu
- School of Nursing, 12485Anhui Medical University, Hefei, China
| | - Yu-Qian Hu
- Department of Epidemiology and Biostatistics, School of Public Health, 12485Anhui Medical University, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Kun Xiang
- Department of Epidemiology and Biostatistics, School of Public Health, 12485Anhui Medical University, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Tao Liao
- Department of Epidemiology and Biostatistics, School of Public Health, 12485Anhui Medical University, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Yu-Lu Yan
- Department of Epidemiology and Biostatistics, School of Public Health, 12485Anhui Medical University, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Xiao-Ke Yang
- Department of Rheumatology and Immunology, 36639The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Zong-Wen Shuai
- Department of Rheumatology and Immunology, 36639The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Gui-Hong Wang
- Department of Rheumatology, Anqing Hospital Affiliated to Anhui Medical University, Anqing, China
| | - Hai-Feng Pan
- Department of Epidemiology and Biostatistics, School of Public Health, 12485Anhui Medical University, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, 12485Anhui Medical University, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
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Wang P, Dan YL, Wu Q, Tao SS, Yang XK, Wang DG, Ye DQ, Shuai ZW, Pan HF. Non-causal effects of smoking and alcohol use on the risk of systemic lupus erythematosus. Autoimmun Rev 2021; 20:102890. [PMID: 34237421 DOI: 10.1016/j.autrev.2021.102890] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Accepted: 04/11/2021] [Indexed: 01/05/2023]
Affiliation(s)
- Peng Wang
- Center for Genetic Epidemiology and Genomics, School of Public Health, Soochow University Medical College, 199 Renai Road, Suzhou 215123, Jiangsu, China
| | - Yi-Lin Dan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei 230032, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei 230032, Anhui, China
| | - Qian Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei 230032, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei 230032, Anhui, China
| | - Sha-Sha Tao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei 230032, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei 230032, Anhui, China
| | - Xiao-Ke Yang
- Department of Rheumatology and Immunology, the First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - De-Guang Wang
- Department of Nephrology, The Second Affiliated Hospital of Anhui Medical University, 678 Furong Road, Hefei 230601, Anhui, China
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei 230032, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei 230032, Anhui, China.
| | - Zong-Wen Shuai
- Department of Rheumatology and Immunology, the First Affiliated Hospital of Anhui Medical University, Hefei, China.
| | - Hai-Feng Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei 230032, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei 230032, Anhui, China.
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Xiang K, Xu Z, Hu YQ, He YS, Wu GC, Li TY, Wang XR, Ding LH, Zhang Q, Tao SS, Ye DQ, Pan HF, Wang DG. Circadian clock genes as promising therapeutic targets for autoimmune diseases. Autoimmun Rev 2021; 20:102866. [PMID: 34118460 DOI: 10.1016/j.autrev.2021.102866] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Accepted: 03/30/2021] [Indexed: 12/31/2022]
Abstract
Circadian rhythm is a natural, endogenous process whose physiological functions are controlled by a set of clock genes. Disturbance of the clock genes have detrimental effects on both innate and adaptive immunity, which significantly enhance pro-inflammatory responses and susceptibility to autoimmune diseases via strictly controlling the individual cellular components of the immune system that initiate and perpetuate the inflammation pathways. Autoimmune diseases, especially rheumatoid arthritis (RA), often exhibit substantial circadian oscillations, and circadian rhythm is involved in the onset and progression of autoimmune diseases. Mounting evidence indicate that the synthetic ligands of circadian clock genes have the property of reducing the susceptibility and clinical severity of subjects. This review supplies an overview of the roles of circadian clock genes in the pathology of autoimmune diseases, including BMAL1, CLOCK, PER, CRY, REV-ERBα, and ROR. Furthermore, summarized some circadian clock genes as candidate genes for autoimmune diseases and current advancement on therapy of autoimmune diseases with synthetic ligands of circadian clock genes. The existing body of knowledge demonstrates that circadian clock genes are inextricably linked to autoimmune diseases. Future research should pay attention to improve the quality of life of patients with autoimmune diseases and reduce the effects of drug preparation on the normal circadian rhythms.
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Affiliation(s)
- Kun Xiang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, Anhui, China
| | - Zhiwei Xu
- School of Public Health, Faculty of Medicine, University of Queensland, 288 Herston Road, Herston, QLD, 4006, Brisbane, Australia
| | - Yu-Qian Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, Anhui, China
| | - Yi-Sheng He
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, Anhui, China
| | - Guo-Cui Wu
- School of Nursing, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
| | - Tian-Yu Li
- Department of Nephrology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Xue-Rong Wang
- Department of Nephrology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Li-Hong Ding
- Department of Nephrology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Qin Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, Anhui, China
| | - Sha-Sha Tao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, Anhui, China
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, Anhui, China
| | - Hai-Feng Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, Anhui, China.
| | - De-Guang Wang
- Department of Nephrology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
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Xia YR, Mao YM, Wang JP, Li QR, Fan YG, Pan HF, Ye DQ. Elevated Urinary and Blood Vascular Cell Adhesion Molecule-1 as Potential Biomarkers for Active Systemic Lupus Erythematosus: A Meta-analysis. Curr Pharm Des 2021; 26:5998-6006. [PMID: 32851953 DOI: 10.2174/1381612826666200826135929] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Accepted: 07/27/2020] [Indexed: 11/22/2022]
Abstract
OBJECTIVE Due to the inconsistent results of current studies on the association between urinary and blood vascular cell adhesion molecule-1 (VCAM-1) and systemic lupus erythematosus (SLE) disease activity, we conducted this study and analyzed its influencing factors. METHODS A literature search was conducted in PubMed, EMBASE, Web of Science, and Cochrane Library. Data were extracted from eligible studies to calculate standardized mean differences (SMD) with 95% confidence intervals (CI). Cochrane Q test and I2 statistics were used to examine heterogeneity. The sources of heterogeneity were assessed through sensitivity analysis and subgroup analysis. Publication bias was evaluated by funnel plots and Egger's test. RESULTS A total of 15 studies met the inclusion criteria, including 473 active SLE patients and 674 inactive SLE patients. The random effects model was used for data analysis. In both urine and blood samples, VCAM- 1 level in active SLE patients was significantly higher than those in inactive SLE patients (urine: SMD: 0.769; 95% CI: 0.260-1.278; blood: SMD=0.655, 95% CI: 0.084-1.226). No publication bias was found in this study. CONCLUSION Compared with inactive SLE patients, patients with active SLE have higher levels of VCAM-1 in both urine and blood. VCAM-1 may be a potential indicator of SLE disease activity.
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Affiliation(s)
- Yuan-Rui Xia
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, Anhui 230032, China
| | - Yan-Mei Mao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, Anhui 230032, China
| | - Jun-Ping Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, Anhui 230032, China
| | - Qing-Ru Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, Anhui 230032, China
| | - Yin-Guang Fan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, Anhui 230032, China
| | - Hai-Feng Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, Anhui 230032, China
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, Anhui 230032, China
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Sam NB, Guan SY, Wang P, Li XM, Wang DG, Pan HF, Ye DQ. Levels of the macrophage migration inhibitory factor and polymorphisms in systemic lupus erythematosus: a meta-analysis. Arch Med Sci 2021; 17:1232-1240. [PMID: 34522252 PMCID: PMC8425225 DOI: 10.5114/aoms.2019.85459] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2018] [Accepted: 09/28/2018] [Indexed: 11/23/2022] Open
Abstract
INTRODUCTION Several published results have established variations in respect to plasma/serum macrophage migration inhibitory factor (MIF) levels and gene polymorphisms with systemic lupus erythematosus (SLE). This study gave a more concise estimation on the MIF levels for SLE patients and established the association between MIF polymorphisms and SLE. MATERIAL AND METHODS All articles were searched from PubMed, Embase, Web of Science, Wan-Fang, Chinese Biological Medical Literature, and China National Knowledge Infrastructure up to 6th October 2017, with no language restriction. Pooled standard mean difference with 95% confidence interval was evaluated using random effect model. Thirteen articles were used for this meta-analysis, with 620 SLE patients and 779 healthy controls assessed for MIF levels, and 2,159 SLE patients and 2,574 healthy controls considered for MIF-173 C/G and MIF-794 CATT polymorphisms. RESULTS There was a significant higher MIF levels in SLE patients than in healthy controls (p = 0.004). The subgroup analysis showed Asians and ages < 30 had higher MIF levels in SLE patients than in healthy controls. It was evident that patients with systemic lupus erythematosus diseases activity index scores < 8 and ≥ 8, and disease duration for both year < 5 and ≥ 5 of SLE had higher MIF levels when compared to healthy controls. We found a significant association between SLE and MIF-173 C/G, but not MIF-794 CATT. CONCLUSIONS This study provided evidence of significant higher MIF levels in SLE patients and supported the association of MIF-173 C/G and SLE. However, we were not able to establish an association between MIF-794 CATT and SLE.
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Affiliation(s)
- Napoleon Bellua Sam
- Department of Epidemiology and Biostatistics, School of Public Health and Anhui Province Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, Hefei, Anhui, China
| | - Shi-Yang Guan
- Department of Epidemiology and Biostatistics, School of Public Health and Anhui Province Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, Hefei, Anhui, China
| | - Peng Wang
- Department of Epidemiology and Biostatistics, School of Public Health and Anhui Province Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, Hefei, Anhui, China
| | - Xiao-Mei Li
- Department of Rheumatology and Immunology, Anhui Provincial Hospital, Hefei, Anhui, China
| | - De-Guang Wang
- Department of Nephrology, The Second Linked Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Hai-Feng Pan
- Department of Epidemiology and Biostatistics, School of Public Health and Anhui Province Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, Hefei, Anhui, China
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health and Anhui Province Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, Hefei, Anhui, China
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Wu Q, Xu Z, Dan YL, Wang P, Mao YM, Zhao CN, Zou YF, Ye DQ, Hu W, Pan HF. Low ambient temperature increases hospital re-admissions for systemic lupus erythematosus in humid subtropical region: a time series study. Environ Sci Pollut Res Int 2021; 28:530-537. [PMID: 32815013 DOI: 10.1007/s11356-020-10488-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Accepted: 08/10/2020] [Indexed: 06/11/2023]
Abstract
Currently, the correlation between ambient temperature and systemic lupus erythematosus (SLE) hospital admissions remains not determined. The aim of this study was to explore the correlation between ambient temperature and SLE hospital admissions in Hefei City, China. An ecological study design was adopted. Daily data on SLE hospital admissions in Hefei City, from January 1, 2007, to December 31, 2017, were obtained from the two largest tertiary hospitals in Hefei, and the daily meteorological data at the same period were retrieved from China Meteorological Data Network. The generalized additive model (GAM) combined with distributed lag nonlinear model (DLNM) with Poisson link was applied to evaluate the influence of ambient temperature on SLE hospital admissions after controlling for potential confounding factors, including seasonality, relative humidity, day of week, and long-term trend. There were 1658 SLE hospital admissions from 2007 to 2017, including 370 first admissions and 1192 re-admissions (there were 96 admissions with admission status not stated). No correlation was observed between ambient temperature and SLE first admissions, but a correlation was found between low ambient temperature and SLE re-admissions (RR: 2.53, 95% CI: 1.11, 5.77) (3.5 °C vs 21 °C). The effect of ambient temperature on SLE re-admissions remained for 2 weeks but disappeared in 3 weeks. Exposure to low ambient temperature may increase hospital re-admissions for SLE, and thus it is important for SLE patients to maintain a warm living environment and avoid exposure to lower ambient temperature.
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Affiliation(s)
- Qian Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, Anhui, China
| | - Zhiwei Xu
- School of Public Health, Faculty of Medicine, University of Queensland, Brisbane, Australia
| | - Yi-Lin Dan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, Anhui, China
| | - Peng Wang
- Center for Genetic Epidemiology and Genomics, School of Public Health, Soochow University Medical College, 199 Renai Road, Suzhou, Jiangsu, China
| | - Yan-Mei Mao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, Anhui, China
| | - Chan-Na Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, Anhui, China
| | - Yan-Feng Zou
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, Anhui, China
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, Anhui, China
| | - Wenbiao Hu
- School of Public Health and Social Work & Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia.
| | - Hai-Feng Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China.
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, Anhui, China.
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Leng RX, Di DS, Ni J, Wu XX, Zhang LL, Wang XF, Liu RS, Huang Q, Fan YG, Pan HF, Wang B, Ye DQ. Identification of new susceptibility loci associated with rheumatoid arthritis. Ann Rheum Dis 2020; 79:1565-1571. [PMID: 32868391 DOI: 10.1136/annrheumdis-2020-217351] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Revised: 08/01/2020] [Accepted: 08/03/2020] [Indexed: 12/26/2022]
Abstract
OBJECTIVES The present study aimed to discover novel susceptibility loci associated with risk of rheumatoid arthritis (RA). METHODS We performed a new genome-wide association study (GWAS) in Chinese subjects (1027 RA cases and 2879 controls) and further conducted an expanded meta-analysis with previous GWAS summary data and replication studies. The functional roles of the associated loci were interrogated using publicly available databases. Dual-luciferase reporter and cytokine assay were also used for exploring variant function. RESULTS We identified five new susceptibility loci (IL12RB2, BOLL-PLCL1, CCR2, TCF7 and IQGAP1; pmeta <5.00E-08) with same effect direction in each study cohort. The sensitivity analyses showed that the genetic association of at least three loci was reliable and robust. All these lead variants are expression quantitative trait loci and overlapped with epigenetic marks in immune cells. Furthermore, genes within the five loci are genetically associated with risk of other autoimmune diseases, and genes within four loci are known functional players in autoimmunity, which supports the validity of our findings. The reporter assay showed that the risk allele of rs8030390 in IQGAP1 have significantly increased reporter activity in HEK293T cells. In addition, the cytokine assay found that the risk allele of rs244672 in TCF7 was most significantly associated with increased plasma IL-17A levels in healthy controls. Finally, identified likely causal genes in these loci significantly interacted with RA drug targets. CONCLUSION This study identified novel RA risk loci and highlighted that comprehensive genetic study can provide important information for RA pathogenesis and drug therapy.
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Affiliation(s)
- Rui-Xue Leng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Dong-Sheng Di
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Jing Ni
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Xiao-Xiao Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Lin-Lin Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Xu-Fan Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Rui-Shan Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Qian Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Yin-Guang Fan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Hai-Feng Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Bin Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China .,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
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Ling HZ, Xu SZ, Leng RX, Wu J, Pan HF, Fan YG, Wang B, Xia YR, Huang Q, Shuai ZW, Ye DQ. Discovery of new serum biomarker panels for systemic lupus erythematosus diagnosis. Rheumatology (Oxford) 2020; 59:1416-1425. [PMID: 31899518 DOI: 10.1093/rheumatology/kez634] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2019] [Revised: 11/26/2019] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVE Clinical diagnosis of SLE is currently challenging due to its heterogeneity. Many autoantibodies are associated with SLE and are considered potential diagnostic markers, but systematic screening and validation of such autoantibodies is lacking. This study aimed to systematically discover new autoantibodies that may be good biomarkers for use in SLE diagnosis. METHODS Sera from 15 SLE patients and 5 healthy volunteers were analysed using human proteome microarrays to identify candidate SLE-related autoantibodies. The results were validated by screening of sera from 107 SLE patients, 94 healthy volunteers and 60 disease controls using focussed arrays comprised of autoantigens corresponding to the identified candidate antibodies. Logistic regression was used to derive and validate autoantibody panels that can discriminate SLE disease. Extensive ELISA screening of sera from 294 SLE patients and 461 controls was performed to validate one of the newly discovered autoantibodies. RESULTS A total of 31, 11 and 18 autoantibodies were identified to be expressed at significantly higher levels in the SLE group than in the healthy volunteers, disease controls and healthy volunteers plus disease control groups, respectively, with 25, 7 and 13 of these differentially expressed autoantibodies being previously unreported. Diagnostic panels comprising anti-RPLP2, anti-SNRPC and anti-PARP1, and anti-RPLP2, anti-PARP1, anti-MAK16 and anti- RPL7A were selected. Performance of the newly discovered anti-MAK16 autoantibody was confirmed by ELISA. Some associations were seen with clinical characteristics of SLE patients, such as disease activity with the level of anti-PARP1 and rash with the level of anti-RPLP2, anti-MAK16 and anti- RPL7A. CONCLUSION The combined autoantibody panels identified here show promise for the diagnosis of SLE and for differential diagnosis of other major rheumatic immune diseases.
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Affiliation(s)
- Hua-Zhi Ling
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical UniversityHefei, Anhui, China.,Department of Clinical Laboratory, the First Affiliated Hospital of Anhui Medical UniversityHefei, Anhui, China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, Anhui, China
| | - Shu-Zhen Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical UniversityHefei, Anhui, China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, Anhui, China
| | - Rui-Xue Leng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical UniversityHefei, Anhui, China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, Anhui, China
| | - Jun Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical UniversityHefei, Anhui, China
| | - Hai-Feng Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical UniversityHefei, Anhui, China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, Anhui, China
| | - Yin-Guang Fan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical UniversityHefei, Anhui, China
| | - Bin Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical UniversityHefei, Anhui, China
| | - Yuan-Rui Xia
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical UniversityHefei, Anhui, China
| | - Qian Huang
- Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, Anhui, China
| | - Zong-Wen Shuai
- Department of Rheumatology and Immunology, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical UniversityHefei, Anhui, China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, Anhui, China
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Li BZ, Cao NW, Zhou HY, Chu XJ, Ye DQ. Strong policies control the spread of COVID-19 in China. J Med Virol 2020; 92:1980-1987. [PMID: 32330295 PMCID: PMC7264602 DOI: 10.1002/jmv.25934] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 04/20/2020] [Accepted: 04/21/2020] [Indexed: 11/21/2022]
Abstract
The coronavirus disease 2019 (COVID‐19) outbroke in Wuhan, Hubei Province, China, affecting more than 200 countries and regions. This study aimed to predict the development of the epidemic with specific interventional policies applied in China and evaluate their effectiveness. COVID‐19 data of Hubei Province and the next five most affected provinces were collected from daily case reports of COVID‐19 on the Health Committee official website of these provinces. The number of current cases, defined as the number of confirmed cases minus the number of cured cases and those who have died, were examined in this study. A modified susceptible‐exposed‐infectious‐removed (SEIR) model was used to assess the effects of interventional policies on the epidemic. In this study, 28 January was day 0 of the model. The results of the modified SEIR model showed that the number of current cases in Hubei and Zhejiang provinces tended to be stabilized after 70 days and after 60 days in the four other provinces. The predicted number of current cases without policy intervention was shown to far exceed that with policy intervention. The estimated number of COVID‐19 cases in Hubei Province with policy intervention was predicted to peak at 51 222, whereas that without policy intervention was predicted to reach 157 721. Based on the results of the model, strong interventional policies were found to be vital components of epidemic control. Applying such policies is likely to shorten the duration of the epidemic and reduce the number of new cases. The modified SEIR model with policy intervention can well predict the number of current COVID‐19 cases. The current COVID‐19 cases will be stable after 70 days of strong policy intervention. Strong interventional policies were vital components of epidemic control.
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Affiliation(s)
- Bao-Zhu Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, Hefei, Anhui, China
| | - Nv-Wei Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, Hefei, Anhui, China
| | - Hao-Yue Zhou
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, Hefei, Anhui, China
| | - Xiu-Jie Chu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, Hefei, Anhui, China
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, Hefei, Anhui, China
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Ashuro AA, Lobie TA, Ye DQ, Leng RX, Li BZ, Pan HF, Fan YG. Review on the Alteration of Gut Microbiota: The Role of HIV Infection and Old Age. AIDS Res Hum Retroviruses 2020; 36:556-565. [PMID: 32323556 PMCID: PMC7398441 DOI: 10.1089/aid.2019.0282] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Human immunodeficiency virus (HIV) infection results in gut microbiota alteration and this is associated with immune activation and chronic inflammation. The gastrointestinal tract is a primary site of viral replication and thus HIV-induced loss of T-helper (Th) cells in the gut causes impairments in intestinal barriers, resulting in disruptions in intestinal immunity and precipitating into gut dysbiosis. Here, we show that late HIV diagnosis can negatively affect the immunological, virological, and clinical prognosis of the patients with its higher implication at an older age. Further, the review indicates that antiretroviral therapy affects the gut microbiota. We discussed the use of probiotics and prebiotics that have been indicated to play a promising role in reversing gut microbiota alteration in HIV patients. Though there are several studies reported with regard to such alterations in gut microbiota regarding HIV infection, there is a need to provide comprehensive updates. It is, therefore, the objective of this review to present most recently available evidence on the alteration of gut microbiota among HIV patients.
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Affiliation(s)
- Akililu Alemu Ashuro
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
| | - Tekle Airgecho Lobie
- Department of Microbiology, Oslo University Hospital, Rikshospitalet and University of Oslo, Oslo, Norway
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
| | - Rui-Xue Leng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
| | - Bao-Zhu Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
| | - Hai-Feng Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Yin-Guang Fan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
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Tao SS, Wu GC, Zhang Q, Zhang TP, Leng RX, Pan HF, Ye DQ. TREX1 As a Potential Therapeutic Target for Autoimmune and Inflammatory Diseases. Curr Pharm Des 2020; 25:3239-3247. [PMID: 31475890 DOI: 10.2174/1381612825666190902113218] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2019] [Accepted: 08/27/2019] [Indexed: 12/20/2022]
Abstract
BACKGROUND AND OBJECTIVES The 3' repair exonuclease 1 (TREX1) gene is the major DNA-specific 3'-5 'exonuclease of mammalian cells which reduces single- and double-stranded DNA (ssDNA and dsDNA) to prevent undue immune activation mediated by the nucleic acid. TREX1 is also a crucial suppressor of selfrecognition that protects the host from inappropriate autoimmune activations. It has been revealed that TREX1 function is necessary to prevent host DNA accumulating after cell death which could actuate an autoimmune response. In the manuscript, we will discuss in detail the latest advancement to study the role of TREX1 in autoimmune disease. METHODS As a pivotal cytoprotective, antioxidant, anti-apoptotic, immunosuppressive, as well as an antiinflammatory molecule, the functional mechanisms of TREX1 were multifactorial. In this review, we will briefly summarize the latest advancement in studying the role of TREX1 in autoimmune disease, and discuss its potential as a therapeutic target for these diseases. RESULTS Deficiency of TREX1 in human patients and murine models is characterized by systemic inflammation and the disorder of TREX1 functions drives inflammatory responses leading to autoimmune disease. Moreover, much more studies revealed that mutations in TREX1 have been associated with a range of autoimmune disorders. But it is also unclear whether the mutations of TREX1 play a causal role in the disease progression, and whether manipulation of TREX1 has a beneficial effect in the treatment of autoimmune diseases. CONCLUSION Integration of functional TREX1 biology into autoimmune diseases may further deepen our understanding of the development and pathogenesis of autoimmune diseases and provide new clues and evidence for the treatment of autoimmune diseases.
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Affiliation(s)
- Sha-Sha Tao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
| | - Guo-Cui Wu
- School of Nursing, Anhui Medical University, 15 Feicui Road, Hefei, Anhui, China
| | - Qin Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
| | - Tian-Ping Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
| | - Rui-Xue Leng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
| | - Hai-Feng Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
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Qureshi H, Khan MI, Ambachew H, Pan HF, Ye DQ. Baseline survey for malaria prevalence in Khyber Pakhtunkhwa Province, Pakistan. East Mediterr Health J 2020; 26:453-460. [PMID: 32338364 DOI: 10.26719/emhj.19.015] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2018] [Accepted: 08/08/2018] [Indexed: 11/09/2022]
Abstract
Background Plasmodium falciparum and P. vivax are prevalent in Pakistan. Data on the epidemiology of Plasmodium infections in Khyber Pakhtunkhwa province are lacking. Aims This study aimed to: 1) determine the malaria prevalence in three districts of Khyber Pakhtunkhwa province with endemic malaria (Bannu, Dera Ismail Khan and Lakki Marwat); 2) determine household ownership of long-lasing insecticidal bed nets in the districts; and 3) assess malaria services in health facilities in the districts, in order to provide baseline information for malaria control in these areas. Methods A cross-sectional study was conducted. In total, 31 041 individuals were selected for the malaria prevalence survey, 864 households for the insecticidal net ownership survey and 98 health facilities for malaria services. Rapid diagnostic tests were used to test for malaria. Results Overall, 4297 (13.8%) people tested positive for malaria. The prevalence of P. vivax, P. falciparum and mixed infection was 92.4%, 4.7% and 2.9%, respectively. The prevalence of malaria infection differed significantly between districts (P < 0.05). Prevalence was higher in people over 14 years and in women for P. vivax and P. falciparum malaria (P < 0.05). Only 44.1% of households owned one or more insecticidal nets. The most common drugs used to treat malaria were primaquine (62.5% of cases) and chloroquine (36.1%). Conclusions The prevalence of malaria infection was high in the three districts. Malaria services in the health facilities were weak. Household ownership of long-lasing insecticidal nets was low. Malaria control or elimination strategies should be strengthened in these districts.
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Affiliation(s)
- Humera Qureshi
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, Anhui, China
| | - Muhammad Imran Khan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, Anhui, China
| | - Henock Ambachew
- Department of Clinical Laboratory Diagnostics, First Affiliated Hospital, Anhui Medical University, Hefei, Anhui, China.,School of Medical Laboratory Sciences, College of Medicine and Health Sciences, Hawassa University, Hawassa, Ethiopia
| | - Hai-Feng Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, Anhui, China
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, Anhui, China
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Xia YR, Li QR, Wang JP, Guo HS, Bao YQ, Mao YM, Wu J, Pan HF, Ye DQ. Diagnostic value of urinary monocyte chemoattractant protein-1 in evaluating the activity of lupus nephritis: a meta-analysis. Lupus 2020; 29:599-606. [PMID: 32208799 DOI: 10.1177/0961203320914372] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Objective This study aimed to assess systematically the overall diagnostic value of urinary monocyte chemoattractant protein-1 (uMCP-1) in systemic lupus erythematosus (SLE) patients with active lupus nephritis (LN). Methods Articles from PubMed, Web of Science, EMBASE and Cochrane Library were retrieved up to 5 November 2019. Study quality was evaluated using the Quality Assessment of Diagnostic Accuracy Studies-2 tool, and statistical analyses were performed. Results A total of seven original studies with 521 participants were included in this meta-analysis. The summary estimates were: sensitivity 0.89 (95% confidence interval (CI) 0.86–0.93), specificity 0.63 (95% CI 0.55–0.69), positive likelihood ratio 2.16 (95% CI 1.66–2.80), negative likelihood ratio 0.15 (95% CI 0.08–0.30), diagnostic odds ratio 19.40 (95% CI 7.24–51.96) and area under the curve 0.9042. Conclusion As a non-invasive biomarker, uMCP-1 has high diagnostic accuracy for active LN.
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Affiliation(s)
- Yuan-Rui Xia
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, PR China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, PR China
| | - Qing-Ru Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, PR China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, PR China
| | - Jun-Ping Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, PR China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, PR China
| | - Heng-Sheng Guo
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, PR China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, PR China
| | - Yu-Qing Bao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, PR China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, PR China
| | - Yan-Mei Mao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, PR China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, PR China
| | - Jun Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, PR China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, PR China
| | - Hai-Feng Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, PR China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, PR China
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, PR China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, PR China
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Zhang TP, Li HM, Li R, Zhang Q, Fan YG, Li XM, Pan HF, Ye DQ. Association of omentin-1, adiponectin, and resistin genetic polymorphisms with systemic lupus erythematosus in a Chinese population. Int Immunopharmacol 2020; 83:106343. [PMID: 32179245 DOI: 10.1016/j.intimp.2020.106343] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Revised: 02/21/2020] [Accepted: 02/22/2020] [Indexed: 12/18/2022]
Abstract
OBJECTIVE An increasing number of studies have demonstrated the roles of adipokines in systemic lupus erythematosus (SLE). We aimed to investigate the association of genetic variations of omentin-1, adiponectin, and resistin with SLE susceptibility. METHODS We selected 623 SLE patients and 665 normal controls in the present study. Genotyping of omentin-1 rs2274907, rs35779394, rs79209815, and rs13376023; adiponectin rs16861194 and rs266729; and resistin rs1862513, rs3745368, and rs3745367 was conducted by TaqMan SNP genotyping assays. RESULTS Overall, we found no significant differences in the allele or genotype frequencies of the nine studied SNPs between the SLE patients and controls. However, an increased frequency of the resistin rs3745368 variant was observed in the SLE patients under the dominant model (P = 0.024). In omentin-1, the rs13376023 A allele was found to be related to oral ulcers in SLE patients (P = 0.013), and the rs35779394 C and rs13376023 A allele frequencies were significantly lower in SLE patients with BMI ≥ 24 kg/m2 (P = 0.019, P = 0.033, respectively). For resistin, the frequencies of the rs3745368 AA genotype and A allele were lower in SLE patients with discoid rash (P = 0.036, P = 0.011), and the rs3745368 A allele frequency was higher in SLE patients with lupus nephritis (P = 0.018). The resistin rs3745367 AA genotype and A allele frequencies were related to the occurrence of renal disorder in SLE patients (P = 0.024, P = 0.009). The haplotype analysis showed that the CGA haplotype of resistin was associated with susceptibility to SLE (P = 0.005). No significant associations of plasma omentin-1, adiponectin or resistin levels with their respective genotypes were found in SLE patients. CONCLUSIONS In summary, omentin-1, adiponectin and resistin SNPs are not associated with the genetic background of SLE in Chinese patients. However, omentin-1 and resistin genetic variations might contribute to several clinical phenotypes of SLE.
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Affiliation(s)
- Tian-Ping Zhang
- The First Affiliated Hospital of University of Science and Technology of China, Hefei 230001, Anhui, China
| | - Hong-Miao Li
- Anhui Provincial Chest Hospital (Anhui Provincial Institute of Tuberculosis Control), Hefei 230022, Anhui, China
| | - Rui Li
- Department of Nosocomial Infection Management, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, Anhui, China
| | - Qin Zhang
- School of Public Health, Anhui Medical University, Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei 230032, Anhui, China
| | - Yin-Guang Fan
- School of Public Health, Anhui Medical University, Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei 230032, Anhui, China
| | - Xiao-Mei Li
- The First Affiliated Hospital of University of Science and Technology of China, Hefei 230001, Anhui, China.
| | - Hai-Feng Pan
- School of Public Health, Anhui Medical University, Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei 230032, Anhui, China.
| | - Dong-Qing Ye
- School of Public Health, Anhui Medical University, Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei 230032, Anhui, China.
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Zhao YL, Wu J, Zhang TP, Cheng QY, Wang XP, Gu MM, Pan HF, Ye DQ. Circulating Insulin-like Growth Factor-1 Levels in Patients with Rheumatoid Arthritis: A Meta-analysis. Curr Pharm Des 2020; 25:1091-1098. [PMID: 30892152 DOI: 10.2174/1381612825666190319124009] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2018] [Accepted: 03/12/2019] [Indexed: 11/22/2022]
Abstract
BACKGROUND AND OBJECTIVES Insulin-like growth factor-1 (IGF-1) levels have been investigated in rheumatoid arthritis (RA), however, produced inconsistent results. The purpose of this meta-analysis was to derive a more precise conclusion about serum/plasma IGF-1 levels in RA patients. METHODS PubMed, Embase and the Cochrane Library databases were searched up to December 2018 in English, and the studies comparing serum/plasma IGF-1 levels between RA group and healthy control group were what we are interested in. The Newcastle-Ottawa Scale (NOS) was used to assess the methodological quality of the included studies. The heterogeneity test was performed by the Cochrane Q statistic and I2 -statistic. The publication bias was evaluated by the funnel plot and Egger's test. The standard mean difference (SMD) with 95% confidence interval (CI) was calculated by the fixed-effects or random-effects model. RESULTS A total of eleven articles with 334 cases and 261 controls were finally included. Compared with the healthy group, the RA group had lower circulating IGF-1 levels (pooled SMD= -0.936, 95% CI= -1.382 to -0.489, p<0.001). The subgroup analysis showed that RA patients from Asia (SMD= -0.645, 95% CI= -1.063 to -0.228, p= 0.002) and Europe (SMD= -1.131, 95% CI= -1.767 to -0.495, p<0.001) had lower circulating IGF-1 levels, no significant difference in plasma/serum IGF-1 levels was observed in RA patients from America. Sensitivity analysis indicated the stability and credibility of the overall effect sizes. CONCLUSION Patients with RA have lower circulating IGF-1 level than healthy controls, particularly for patients from Asia and Europe. Further studies are necessary to elucidate the role of IGF-1 in the pathological process of RA.
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Affiliation(s)
- Yu-Lan Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, 81 Meishan Road, Hefei, Anhui, China
| | - Jun Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, 81 Meishan Road, Hefei, Anhui, China
| | - Tian-Ping Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, 81 Meishan Road, Hefei, Anhui, China
| | - Qian-Yao Cheng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, 81 Meishan Road, Hefei, Anhui, China
| | - Xue-Ping Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, 81 Meishan Road, Hefei, Anhui, China
| | - Ming-Ming Gu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, 81 Meishan Road, Hefei, Anhui, China
| | - Hai-Feng Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, 81 Meishan Road, Hefei, Anhui, China
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, 81 Meishan Road, Hefei, Anhui, China
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Sam NB, Zhang Q, Li BZ, Li XM, Wang DG, Pan HF, Ye DQ. Serum/plasma homocysteine levels in patients with systemic lupus erythematosus: a systematic review and meta-analysis. Clin Rheumatol 2020; 39:1725-1736. [PMID: 32090304 DOI: 10.1007/s10067-020-04985-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Revised: 01/17/2020] [Accepted: 02/07/2020] [Indexed: 02/07/2023]
Abstract
Published studies have shown contradictory results in the association of serum/plasma levels of homocysteine (HCY) with systemic lupus erythematosus (SLE). This study is to systematically evaluate the association of serum/plasma HCY levels in SLE. A search was done using PubMed, Embase, Web of Science, and ScienceDirect databases up to 7 April 2019. Thirty-six articles including 2919 SLE patients and 3120 healthy controls were finally included in this meta-analysis. The HCY levels were significantly higher in SLE patients than in healthy controls (P < 0.001). The subgroup analysis revealed that Asian, African, Arab, Mixed, White and others as well as ages (< 35 and ≥ 35) had significant higher HCY levels in SLE patients than in the healthy controls. The study indicated that patients with disease activity index scores < 8 (P < 0.001) and ≥ 8 (P = 0.003) of SLE had significant higher HCY levels as compared with the healthy controls. It was also revealed that disease duration in SLE patients for < 10 and ≥ 10 years (P < 0.001) had significant higher HCY levels as compared with the healthy controls. A significant higher HCY level for body mass index (< 23 and ≥ 23) was found as well as measurement type in SLE patients than healthy controls. This meta-analysis demonstrated higher HCY levels in patients with SLE than healthy controls, suggesting a possible role of HCY in the disease.Key Points• Homocysteine (HCY) is closely related to the mechanisms of systemic lupus erythematosus (SLE).• This study reveals a significant correlation between HCY levels and the various indexes of disease activity.• This study reveals that medication may influence HCY levels in SLE.• This study also discovers that the subgroup analysis of all the factors influences the HCY levels in SLE patients.
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Affiliation(s)
- Napoleon Bellua Sam
- Department of Epidemiology & Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, 81 Meishan Road, Hefei, Anhui, China
| | - Qin Zhang
- Department of Epidemiology & Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, 81 Meishan Road, Hefei, Anhui, China
| | - Bao-Zhu Li
- Department of Epidemiology & Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, 81 Meishan Road, Hefei, Anhui, China
| | - Xiao-Mei Li
- Department of Rheumatology and Immunology, Anhui Provincial Hospital, 17 Lujiang Road, Hefei, Anhui, China
| | - De-Guang Wang
- Department of Nephrology, The Second Affiliated Hospital of Anhui Medical University, 678 Furong Road, Hefei, 230601, Anhui, China
| | - Hai-Feng Pan
- Department of Epidemiology & Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China. .,Anhui Province Key Laboratory of Major Autoimmune Diseases, 81 Meishan Road, Hefei, Anhui, China.
| | - Dong-Qing Ye
- Department of Epidemiology & Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China. .,Anhui Province Key Laboratory of Major Autoimmune Diseases, 81 Meishan Road, Hefei, Anhui, China.
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Wang P, Mao YM, Zhao CN, Wang JB, Li XM, Ye DQ, Pan HF. Association of Midkine and Pleiotrophin Gene Polymorphisms With Systemic Lupus Erythematosus Susceptibility in Chinese Han Population. Front Immunol 2020; 11:110. [PMID: 32153561 PMCID: PMC7046794 DOI: 10.3389/fimmu.2020.00110] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Accepted: 01/15/2020] [Indexed: 02/04/2023] Open
Abstract
In a previous study, we have reported an increased plasma midkine (MK) and pleiotrophin (PTN) concentrations in patients with systemic lupus erythematosus (SLE) and the increase in MK and PTN associated with inflammatory cytokines interleukin (IL)-17 level and some clinical manifestations, suggesting the underlying association of MK and PTN with SLE. This study was conducted to investigate the association between common single-nucleotide polymorphisms (SNPs) in the MK and PTN gene and SLE susceptibility. A total of 989 subjects (496 SLE patients and 493 healthy controls) were included and genotyped for three MK SNPs and seven PTN SNPs in using improved multiple ligase detection reaction (iMLDR). Results have demonstrated no significant differences for genotype and allele frequencies in all 10 SNPs between SLE patients and healthy controls. Case-only analysis in SLE revealed that, in MK gene, the genotype frequency of AA/AG (rs35324223) was significantly lower in patients with photosensitivity than those without; the allele frequency of A/G (rs20542) was significantly higher in patients without serositis. In PTN gene, the A/G allele frequency (rs322236), C/T allele frequency, and TT/CT genotype frequency (rs6970141) showed significantly increased results in patients with immunological disorder compared to those without. Furthermore, no significant differences in plasma MK and PTN concentrations with its SNPs genotypes were found. MK and PTN SNPs showed no associations with SLE genetic susceptibility, but it may be associated with the course of this disease; further studies are needed to focus on the mechanism of MK and PTN genes in the pathogenesis of SLE.
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Affiliation(s)
- Peng Wang
- Center for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Yan-Mei Mao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, China
| | - Chan-Na Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, China
| | - Jie-Bing Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, China
| | - Xiao-Mei Li
- Department of Rheumatology and Immunology, Anhui Provincial Hospital, Hefei, China
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, China
| | - Hai-Feng Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, China
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Ye DQ. [Historical perspective of progress and achievement on three-dimensional construction of epidemiological textbooks in the past 70 years in China]. Zhonghua Liu Xing Bing Xue Za Zhi 2019; 40:1329-1332. [PMID: 31838801 DOI: 10.3760/cma.j.issn.0254-6450.2019.11.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Since the founding of the People's Republic of China, the epidemiological textbooks in China have gone through an all-round development consistently, from nothing to something, from paper to multimedia. After the reform and opening up, especially after the 18th National Congress of the Communist Party of China (CPC), in order to meet the needs of training multi-level public health talents, a group of epidemiologists, represented by professor Qian Yuping, Wu Xike, Li Liming, Zhan Siyan, et al, have always devoting themselves to the construction of epidemiological textbooks, so that the theory, teaching and scientific research of epidemiology had their own series of specialized textbooks. For nearly 20 years, epidemiological textbooks are obviously updated and improved under the convergence of new technology and media. Digital resources, such as CD, Mooc and electronic schoolbag, together with traditional paper textbooks, perfectly contribute to the modern comprehensive three-dimensional epidemiological textbooks and lay a solid foundation for talent cultivation, discipline construction, scientific research and disease prevention and control.
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Affiliation(s)
- D Q Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei 230032, China
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Zhang TP, Zhu BQ, Tao SS, Fan YG, Li XM, Pan HF, Ye DQ. Long Non-coding RNAs Genes Polymorphisms and Their Expression Levels in Patients With Rheumatoid Arthritis. Front Immunol 2019; 10:2529. [PMID: 31736958 PMCID: PMC6834534 DOI: 10.3389/fimmu.2019.02529] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Accepted: 10/11/2019] [Indexed: 12/29/2022] Open
Abstract
Long non-coding RNAs (lncRNAs) are increasingly recognized to play important roles in multiple autoimmune diseases. This study aimed to evaluate the association of four lncRNAs (ANRIL, lnc-DC, MALAT1, ZFAS1) genes single nucleotide polymorphisms (SNPs) with susceptibility to rheumatoid arthritis (RA) patients, as well as their expression levels. Seventeen SNPs of the four lncRNAs were genotyped in a cohort of 660 RA patients and 710 controls using improved multiple ligase detection reaction (iMLDR). The lncRNAs expressions in peripheral blood mononuclear cells (PBMCs) from 120 RA patients and 120 controls were detected by qRT-PCR. No significant differences were found for the allele and genotype frequencies distribution of ANRIL SNPs (rs1412830, rs944796, rs61271866, rs2518723, rs3217992), lnc-DC SNPs (rs7217280, rs10515177), MALAT1 SNPs (rs619586, rs4102217, rs591291, rs11227209, rs35138901), ZFAS1 SNPs (rs237742, rs73116127, rs6125607, rs6125608) between RA patients and normal controls (all P > 0.05). The genotype effects of dominant and recessive models were also evaluated, but no significant association was found. In addition, our results demonstrated that the rs944796 G allele, rs2518723 T allele, rs3217992 T allele frequencies were significantly associated with anti-CCP in RA patients (all P < 0.05). The haplotype CGTA frequency for ZFAS1 was significantly higher in RA patients (P = 0.036). Compared with normal controls, the expression levels of ANRIL, lnc-DC, MALAT1, ZFAS1 in PBMCs were significantly reduced in RA patients (all P < 0.001). Moreover, ZFAS1 expression was negatively associated with CRP in RA patients (P = 0.002). In summary, ANRIL, lnc-DC, MALAT1, and ZFAS1 genes SNPs were not associated with RA susceptibility, while altered ANRIL, lnc-DC, MALAT1, ZFAS1 levels in RA patients suggested that these lncRNAs might play a role in RA.
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Affiliation(s)
- Tian-Ping Zhang
- Anhui Province Key Laboratory of Major Autoimmune Diseases, Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.,Department of Infectious Diseases, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Bang-Qiang Zhu
- Anhui Province Key Laboratory of Major Autoimmune Diseases, Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
| | - Sha-Sha Tao
- Anhui Province Key Laboratory of Major Autoimmune Diseases, Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
| | - Yin-Guang Fan
- Anhui Province Key Laboratory of Major Autoimmune Diseases, Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
| | - Xiao-Mei Li
- Department of Rheumatology, The First Affiliated Hospital of University of Science and Technology of China, Hefei, China
| | - Hai-Feng Pan
- Anhui Province Key Laboratory of Major Autoimmune Diseases, Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
| | - Dong-Qing Ye
- Anhui Province Key Laboratory of Major Autoimmune Diseases, Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
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Liang H, Pan HF, Tao JH, Ye DQ. Causes and Factors Associated with Frequent Hospitalization in Chinese Patients with Systemic Lupus Erythematosus: An Ambispective Cohort Study. Med Sci Monit 2019; 25:8061-8068. [PMID: 31655846 PMCID: PMC6833908 DOI: 10.12659/msm.919381] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
Background Hospitalizations in patients with systemic lupus erythematosus (SLE) have been reported from different regions in the world. This study aimed to evaluate the annual hospitalization rate, causes of hospitalization, and potential factors associated with frequency of hospitalization in Chinese patients. Material/Methods We performed an ambispective cohort study for hospitalized patients with SLE in a Chinese single center. Data on demographics, organ involvements, laboratory abnormities, clinical treatments, causes of hospitalization, and survival outcomes were recorded at the time of SLE diagnosis and during a follow-up period. Poisson regression models were created to identify the potential factors associated with frequency of hospitalization. Results Of 526 patients with SLE, 242 patients (46%) had 1 or more admissions amounting to a total of 449 times during a median follow-up period of 4.73 years. The annual hospitalization rate was 18% and death occurred in 2.5% of total admissions. SLE flare, infection and pregnancy-related morbidity were the most common causes of hospitalization. Besides, the multivariate Poisson regression analysis revealed that decreased albumin, decreased renal function, and high disease damage were the risk factors for more frequency of hospitalization, whereas positive anti-SSA antibody and use of hydroxychloroquine were protective factors. Conclusions Nearly half of patients (46%) with SLE experience 1 or more hospitalizations, mainly due to SLE flare, infection, and pregnancy-related morbidity. Lupus patients with decreased albumin, decreased renal function, and high disease damage are more susceptible to have frequent hospitalization.
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Affiliation(s)
- Han Liang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China (mainland).,Anhui Province Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, Hefei, Anhui, China (mainland)
| | - Hai-Feng Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China (mainland).,Anhui Province Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, Hefei, Anhui, China (mainland)
| | - Jin-Hui Tao
- Department of Rheumatology and Immunology, Anhui Provincial Hospital, Hefei, Anhui, China (mainland)
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China (mainland).,Anhui Province Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, Hefei, Anhui, China (mainland)
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Zhao YL, Zhang TP, Wu J, Li BZ, Li XM, Pan HF, Ye DQ. Association of adiponectin and adiponectin receptor gene polymorphisms with rheumatoid arthritis in a Chinese population. Postgrad Med J 2019; 96:149-155. [PMID: 31563887 DOI: 10.1136/postgradmedj-2018-136372] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2018] [Revised: 07/08/2019] [Accepted: 09/02/2019] [Indexed: 12/15/2022]
Abstract
PURPOSE To explore the association of adiponectin (AD) and adiponectin receptor (ADR) gene single-nucleotide polymorphisms (SNPs) with genetic susceptibility to rheumatoid arthritis (RA) in a Chinese population. STUDY DESIGN Five AD SNPs (rs266729, rs2241766, rs1063537, rs2082940 and rs1063539) and two ADR SNPs (rs7539542 and rs12342) were genotyped in a cohort of 617 patients with RA and 639 healthy controls. Seven SNPs were genotyped using TaqMan genotyping assays on the Fluidigm 192.24 system. The concentration of AD in plasma was examined by ELISA. RESULTS Patients with RA showed a considerably lower plasma level of AD than healthy controls (p=0.002). No significant differences were observed for the distribution of allele and genotype frequencies of rs266729, rs2241766, rs2082940, rs1063539, rs7539542 and rs12342 SNPs between patients with RA and controls. The genotype effects of recessive and dominant models were also analysed, but no marked evidence for association was found. However, further analysis in female patients with RA showed that the frequency of the AD gene rs1063539 GG genotype was nominally significantly higher in patients who were anti-cyclic citrullinated peptide (anti-CCP) antibody-positive (p=0.040). No significant differences in serum AD level were observed in patients with RA with different genotypes. CONCLUSIONS rs266729, rs2241766, rs2082940 and rs1063539 in the AD gene and rs7539542 and rs12342 in the ADR gene are possibly not associated with genetic susceptibility to RA, but the A D gene rs1063539 locus was possibly associated with anti-CCP in RA female patients.
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Affiliation(s)
- Yu-Lan Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, Hefei, Anhui, China
| | - Tian-Ping Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, Hefei, Anhui, China
| | - Jun Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, Hefei, Anhui, China
| | - Bao-Zhu Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, Hefei, Anhui, China
| | - Xiao-Mei Li
- Department of Rheumatology, the First Affiliated Hospital of University of Science and Technology of China, University of Science and Technology of China, Hefei, Anhui, China
| | - Hai-Feng Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, Hefei, Anhui, China
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China .,Anhui Province Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, Hefei, Anhui, China
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Wang JB, Li J, Zhang TP, Lv TT, Li LJ, Wu J, Leng RX, Fan YG, Pan HF, Ye DQ. Expression of several long noncoding RNAs in peripheral blood mononuclear cells of patients with systemic lupus erythematosus. Adv Med Sci 2019; 64:430-436. [PMID: 31563860 DOI: 10.1016/j.advms.2019.08.002] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2017] [Revised: 06/09/2019] [Accepted: 08/12/2019] [Indexed: 02/07/2023]
Abstract
PURPOSE Accumulating evidence has linked long noncoding RNAs (lncRNAs) to autoimmune and inflammatory disorders. This study aimed to detect the expression levels of five lncRNAs (lnc0640, lnc3643, lnc5150, lnc7514 and lncagf) in peripheral blood mononuclear cells (PBMCs) of patients with systemic lupus erythematosus (SLE), as well as their correlation with clinical and laboratory features. MATERIALS/METHODS We recruited 76 patients with SLE and 71 normal controls into the present study, and obtained PBMCs from the blood samples of all study subjects. Expression levels of lncRNAs were determined by quantitative real-time reverse transcription polymerase chain reaction and their associations with clinical and laboratory characteristics were analyzed. RESULTS Lnc5150 expression levels were statistically significantly decreased (Z=-6.016, P < 0.001) compared with normal controls. Lnc3643 levels were also statistically significantly decreased in SLE patients with proteinuria compared with those without (Z=-2.934, P = 0.003), and the lnc7514 levels were statistically significantly lower in anti-dsDNA(+) patients compared with anti-dsDNA(-) patients. The expression levels of lnc3643 were correlated with C-reactive protein and erythrocyte sedimentation rate (ESR), lnc7514 was correlated with disease activity and ESR (all P < 0.01). CONCLUSIONS The aberrant lncRNA expression levels and their associations with laboratory features in SLE suggest their important role in SLE pathogenesis.
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Bao YQ, Wang JP, Dai ZW, Mao YM, Wu J, Guo HS, Xia YR, Ye DQ. Increased circulating CXCL13 levels in systemic lupus erythematosus and rheumatoid arthritis: a meta-analysis. Clin Rheumatol 2019; 39:281-290. [PMID: 31523787 DOI: 10.1007/s10067-019-04775-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2019] [Revised: 08/03/2019] [Accepted: 09/06/2019] [Indexed: 10/26/2022]
Abstract
OBJECTIVES CXC ligand 13 (CXCL13) is known as B cell chemotactic factor (BLC), promoting the migration of B lymphocytes by communicating with its receptor CXCR5, which can be regarded as part of pathogenesis of systemic lupus erythematosus (SLE) and rheumatoid arthritis (RA). This meta-analysis was to evaluate the circulating CXCL13 levels in SLE and RA. METHODS All articles were respectively gathered from PubMed, Web of Science, and China National Knowledge Infrastructure (CNKI) (by the end of 10 April 2019). According to random effects model, standardized mean difference (SMD) and 95% confidence interval (CI) of CXCL13 levels in SLE and RA were calculated by Stata 12.0 software. RESULTS Totally, 15 studies were selected (981 SLE patients and 380 healthy controls, 332 RA patients and 147 healthy controls). SLE and RA patients were significantly increased in circulating CXCL13 levels (SMD = 1.851, 95% CI 0.604-3.098; SMD = 1.801, 95% CI = 1.145-2.457). Subgroup analyses showed that SLE patients from the Chinese group and systemic lupus erythematosus disease activity index (SLEDAI) score ≥ 6 group had higher circulating CXCL13 levels (SMD = 2.182, 95% CI 0.135-4.229; SMD = 0.767, 95% CI 0.503-1.030). However, there were no significant changes in CXCL13 concentrations in SLE patients from the English and SLEDAI score < 6 group. Similarly, subgroup analyses presented that RA patients from different classifications showed higher circulating CXCL13 levels. There was no publication bias. CONCLUSIONS This meta-analysis demonstrated increased circulating CXCL13 concentrations in SLE and RA patients. Circulating CXCL13 levels may act as biomarkers and therapy targets in the diagnosis and treatment of SLE and RA.Key Point• First, CXC ligand 13 (CXCL13) is closely related to the pathogenesis of systemic lupus erythematosus (SLE) and rheumatoid arthritis (RA), Second, this study may provide novel therapeutic targets for the treatment of SLE and RA patients. This meta-analysis provides a comprehensive analysis of circulating CXCL13 levels in patients with SLE and RA and also explores related influencing factors.
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Affiliation(s)
- Yu-Qing Bao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Jun-Ping Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Zi-Wei Dai
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Yan-Mei Mao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Jun Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Heng-Sheng Guo
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Yuan-Rui Xia
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.,Anhui Province Key Laboratory of Major Autoimmune Diseases, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China. .,Anhui Province Key Laboratory of Major Autoimmune Diseases, 81 Meishan Road, Hefei, 230032, Anhui, China.
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