Global Chronic obstructive pulmonary disease burden attributable to air pollution from 1990 to 2019.

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.

Increased circulating sclerostin levels in rheumatoid arthritis patients: an updated meta-analysis.

BACKGROUND: Sclerostin, a regulator of bone metabolism and vascular calcification involved in regulating the Wnt/ß-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.

New-onset autoimmune phenomena post-COVID-19 vaccination.

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 interventions to substantially reduce severe disease and death due to SARS-CoV-2 infection. Vaccination programmes 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). 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.

Proton pump inhibitors induce changes in the gut microbiome composition of systemic lupus erythematosus patients.

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.

The effect of protease inhibitors-based antiretroviral therapy on serum/plasma interleukin-6 levels among PLHIV: a systematic review and meta-analysis.

Recommended treatment regimen for human immune deficiency virus (HIV) infection includes protease inhibitors/ritonavir (PIs/r) combined with two-nucleoside reverse-transcriptase inhibitors (2NRTIs), which enable to achieve and maintain viral suppression, restore, and preserve immune function. However, there were inconsistent findings on the levels of interleukin-6 (IL-6) levels. Systematic review and meta-analysis were performed to quantify the pooled effects of PIs/r-based antiretroviral therapy (ART) on serum/plasma IL-6 levels in people living with the HIV (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 (χ2 test) and I2 statistic and subgroup analysis were performed to explore the source of heterogeneity. Initial search identified 3098 records and 5 studies (7 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% confidence interval: -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. We found that serum/plasma IL-6 levels increased after combined ART 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.

Risk of C1q variation in systemic lupus erythematosus: a meta-analysis with Trial Sequential Analysis.

Introduction: Systemic lupus erythematosus (SLE) is an autoimmune disease closely related to the immune system. C1q is an important component of complement system. However, the correlation between C1q gene polymorphism and SLE has not been completely unified. Aim: The primary aim of this meta-analysis was to examine the association between C1q polymorphisms and the risk of SLE. Material and methods: All relevant articles were retrieved from PubMed, Web of Science and CNKI until June 2020. Pooled OR and 95% CI with random model were used to evaluate the strength of the association between C1q polymorphisms and SLE. Considering the limited number of studies, Trial Sequential Analysis (TSA) was applied to estimate whether the information was sufficient to make reliable and conclusive evidence. Both Egg's test and trim and fill method were performed to assess the publication bias. Results: Eight articles were included in this meta-analysis. The pooled results showed that C1q rs631090 was associated with SLE only in the homozygous and recessive model (allelic model: 1.169 (0.632-2.162), homozygous model: 2.342 (1.239-4.427), heterozygous model: 0.983 (0.395-2.448), dominant model: 1.036 (0.418-2.567), recessive model: 2.281 (1.227-4.239)) and there was no association between C1q rs172378 and rs292001 and SLE (rs172378 (allelic model: 1.071 (0.949-1.210), homozygous model: 1.172 (0.868-1.584), heterozygous model: 1.080 (0.892-1.306), dominant model: 1.100 (0.918-1.317), recessive model: 1.112 (0.863-1.431)); rs292001 (allelic model: 0.877 (0.657-1.170), homozygous model: 0.713 (0.320-1.589), heterozygous model: 0.714 (0.448-1.138), dominant model: 0.703 (0.414-1.196), recessive model: 0.927 (0.601-1.430)). Nevertheless, TSA showed that more information was needed to get more accurate results. There is no publication bias. Conclusions: This meta-analysis suggested that C1q rs631090 but not rs172378 and rs292001 may be a potential susceptible factor associated with SLE. Nevertheless, due to the limited sample size in this meta-analysis, more large-scale association studies are still needed to confirm the results.

Association of MALAT-1 gene single nucleotide polymorphisms with genetic susceptibility to systemic lupus erythematosus.

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.

Association of the rs17250932, rs4794067, and rs2240017 polymorphism in the TBX21 gene with autoimmune diseases: A meta-analysis.

OBJECTIVE: To evaluate systematically the association between TBX21 gene polymorphisms (rs17250932, rs2240017, and rs4794067) and the risk of autoimmune diseases in Asian populations. METHODS: The Medline, Web of Science, and Chinese Biomedical Literature Database were used to retrieve eligible studies that were published before July 2020. Pooled odds ratios (OR) and 95% confidence intervals (95% CI) were calculated by using the dominant model, heterozygote contrast model, and allelic contrast model. Publication bias was evaluated using contour-enhanced funnel plots and Egger's regression test. Sensitivity analysis was conducted to assess the robustness of this meta-analysis. RESULTS: A total of 12 eligible studies, including 3834 patients and 4824 healthy controls, were recruited in this meta-analysis. The pooled data demonstrated that TBX21 rs2240017 and rs4794067 polymorphisms were significantly associated with the risk of autoimmune diseases in Asian populations in allelic contrast model (OR: 1.456, 95% CI: 1.131-1.875, P = 0.004; OR: 0.766, 95% CI: 0.615-0.954, P = 0.017), heterozygote comparison model (OR: 1.647, 95% CI: 1.239-2.189, P = 0.001; OR: 0.796, 95% CI: 0.634-0.999, P = 0.049), and dominant model (OR: 1.572, 95% CI: 1.194-2.071, P = 0.004; OR: 0.767, 95% CI: 0.607-0.970, P = 0.027). The G allele of rs2240017 may be a risk factor for autoimmune diseases, and the T allele of rs4794067 may increase the risk of autoimmune diseases. However, we failed to find evidence of the association between TBX21 rs17250932 polymorphism and susceptibility to autoimmune diseases. No publication bias was established in this meta-analysis. CONCLUSION: This meta-analysis indicated that TBX21 rs2240017 and rs4794067 polymorphism confer susceptibility to autoimmune diseases, but not rs17250932.

Urinary Tumor Necrosis Factor-Like Weak Inducer of Apoptosis as a Biomarker for Diagnosis and Evaluating Activity in Lupus Nephritis: A Meta-analysis.

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.

Identification of new susceptibility loci associated with rheumatoid arthritis.

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.

Strong policies control the spread of COVID-19 in China.

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.

Discovery of new serum biomarker panels for systemic lupus erythematosus diagnosis.

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.

Elevated Blood and Urinary ICAM-1 is a Biomarker for Systemic Lupus Erythematosus: A Systematic Review and Meta-Analysis.

Background: Systemic lupus erythematosus (SLE) is an autoimmune disease with complex etiology. Intercellular cell adhesion molecule-1 (ICAM-1) is critical for leukocyte adhesion to endothelium and migration out of blood vessels and thus participates in many autoimmune diseases. Previous studies of blood and urinary ICAM-1 in SLE have yielded inconsistent results.Methods: The following databases were searched for studies that compared blood and/or urinary ICAM-1 in SLE patients vs. healthy control subjects, and/or in SLE with active vs. inactive diseases: PubMed, EMBASE, Cochrane Library, China National Knowledge Infrastructure and Web of Science. Standardized mean difference (SMD) and 95% confidence intervals (CI) were calculated using a random-effects model when there was significant heterogeneity (assesses using the Cochrane Q test and I2 statistics), and using a fixed-effects model otherwise. Publication bias was assessed using funnel plot and egger text.Results: The initial screening yielded a total of 1,215 articles; 22 articles (14 reporting blood ICAM-1, 7 reporting urinary ICAM-1 and 1 reporting both) were included in the meta-analysis. In comparison to healthy controls, SLE patients had elevated urinary ICAM-1 (SMD: 0.711; 95% CI: 0.521, 0.901) as well as blood ICAM-1 (SMD: 0.725; 95% CI: 0.385, 1.065). Blood ICAM-1 did not differ significantly between active and inactive SLE (SMD: 0.396; 95% CI: -0.556, 1.347).Conclusion: Elevated blood and urinary ICAM-1 is a biomarker for SLE, but does not differentiate active and inactive SLE.

Association of adiponectin and adiponectin receptor gene polymorphisms with rheumatoid arthritis in a Chinese population.

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.

Altered mRNA expression levels of vaspin and adiponectin in peripheral blood mononuclear cells of systemic lupus erythematosus patients.

OBJECTIVES: Increasing studies have indicated the association between adipokines and multiple autoimmune diseases. This study aimed to evaluate the mRNA expression levels of vaspin, adiponectin and adrenomedullin in peripheral blood mononuclear cells (PBMCs) of patients with systemic lupus erythematosus (SLE), as well as their clinical associations. METHODS: A total of 46 SLE patients and 51 normal controls were recruited. The three adipokines expression levels in PBMCs from SLE patients were measured by qRT-PCR, and their associations with major clinical and laboratory parameters of SLE patients were also analysed. RESULTS: Compared with normal controls, vaspin expression level in PBMCs was significantly decreased (p<0.001), whereas adiponectin expression level was significantly higher in SLE patients (p<0.001). There was no significant difference in adrenomedullin expression level between SLE patients and normal controls. Vaspin and adrenomedullin expression levels in more active SLE were significantly lower than those in less active SLE (p=0.012, p=0.046, respectively). No significant difference in these adipokine expression levels was observed between SLE patients with and without lupus nephritis (LN). There was also no significant association between mRNA levels of these adipokines and major clinical and laboratory parameters. CONCLUSIONS: Altered vaspin, adiponectin expression levels, and the associations between vaspin, adrenomedullin levels and disease activity in SLE patients suggested that these adipokines might play a role in SLE.

A Meta-Analysis of Cardiovascular Events in Systemic Lupus Erythematosus.

Objective: To identify accurate occurrence and risk of cardiovascular (CV) events (stroke and myocardial infarction [MI]) in patients with systemic lupus erythematosus (SLE). Methods: Systemic literature search in PubMed and additional manual search were performed to obtain interested studies until March 31, 2018. The pooled incidences and risk of stroke and MI were calculated. Results: A total of 24 studies were included in this meta-analysis. For MI, a total of 1,516 SLE patients were reported to had MI (n = 96,154) over a mean follow-up of 9.98 years: incidence 2.0% (95% CI: 1.7-2.4%), i.e. 0.20/100 pyrs; in the five studies, 360 SLE patients (n = 18,943) and 817 controls had MI (n = 111,525), revealing that the risk of MI in SLE population was 3.04 times higher than in the general population (RR = 3.04, 95% CI: 1.81-5.11). For stroke, the incidence of 17 studies during the 10.09 follow-up period using random model was 4.4% (95% CI: 3.6-5.1%), i.e. 0.44/100 pyrs; in the 7 studies, 694 SLE patients (n = 22,594) and 4,034 controls had stroke (n = 255,023), indicating that the risk of MI in SLE population was 1.95 times higher than that in the general population (RR = 1.95, 95% CI: 1.52-2.53). Conclusion: Based on the findings from previous reports, our meta-analysis showed that patients with SLE have been at higher risk of CV events.

Causes and Factors Associated with Frequent Hospitalization in Chinese Patients with Systemic Lupus Erythematosus: An Ambispective Cohort Study.

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 AND 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.

Circular RNA expression profile and potential function of hsa_circ_0045272 in systemic lupus erythematosus.

Circular RNAs (circRNAs) represent a class of non-coding RNAs that form covalently closed RNA circles with extensive expression and conservation in mammals. Circular RNAs regulate gene expression through acting as competitive endogenous RNAs (ceRNAs) and modulating gene transcription. Accumulating evidence supports the implication of circRNAs in a variety of human diseases, but studies of circRNA role in systemic lupus erythematosus (SLE) are lacking. The present study measured the circRNA expression profiles in T cells from patients with SLE and healthy controls with human circRNA microarray and identified 127 differentially expressed circRNAs in SLE patients. Down-regulation of hsa_circ_0045272 in SLE T cells was verified with quantitative PCR. Jurkat cells with stable hsa_circ_0045272 knockdown were generated using specific lentiviral short hairpin RNA for functional studies. Flow cytometric analysis indicated that hsa_circ_0045272 knockdown significantly up-regulated the early apoptosis of Jurkat cells. Meanwhile, ELISA showed that hsa_circ_0045272 knockdown significantly enhanced interleukin-2 production of activated Jurkat cells. Then, ceRNAs were predicted for hsa_circ_0045272 and the significant down-regulation of two mRNAs predicted as ceRNAs, NM_003466 (PAX8) and NM_015177 (DTX4), but not their corresponding proteins, was validated. Furthermore, dual luciferase reporter assay indicated binding of hsa_circ_0045272 with hsa-miR-6127. Circular RNA-mRNA co-expression networks showed the correlation of circRNAs with mRNAs and provided additional clues to circRNA functions. Our study demonstrated dysregulated circRNAs in SLE and revealed the function of hsa_circ_0045272 in negatively regulating apoptosis and interleukin-2 secretion and its potential mechanism. The implication of hsa_circ_0045272 and other abnormal circRNAs in SLE merits further investigation.

The expression levels of long noncoding RNAs lnc0640 and lnc5150 and its gene single-nucleotide polymorphisms in rheumatoid arthritis patients.

OBJECTIVES: The aim of our study was to evaluate two lncRNAs (lnc0640 and lnc5150) expressions and gene single-nucleotide polymorphisms (SNPs) in rheumatoid arthritis (RA) patients. METHODS: The expressions of lncRNAs in peripheral blood mononuclear cells (PBMCs) were examined by quantitative real-time reverse transcription polymerase chain reaction from 65 RA patients and 54 controls. Simultaneously, three SNPs (rs13039216, rs6085189, and rs6085190) of lnc0640, three SNPs (rs1590666, rs141561256, and rs144047453) of lnc5150 were genotyped using TaqMan SNP-genotyping assays in 627 RA patients and 590 controls. RESULTS: The lnc0640 level in PBMCs from RA patients was significantly increased (P = 0.001), whereas the lnc5150 level was significantly reduced (P < 0.001) compared to controls. There were significant associations of lnc0640 and lnc5150 levels with C-reactive protein in RA patients (P = 0.011 and P = 0.014, respectively), while lnc5150 level was associated with erythrocyte sedimentation rate (P = 0.022). TT genotype of rs13039216 in lnc0640 gene was statistically associated with a reduced risk of RA (TT vs CC; P = 0.046), and a decreased risk of rs13039216 variant was observed under the recessive model (P = 0.038). In addition, the G allele of rs141561256 polymorphism in lnc5150 gene was significantly associated with rheumatoid factor in RA patients (P = 0.034). There were no associations between lnc0640 and lnc5150 levels and their respective genotype in RA patients. CONCLUSIONS: The expressions of lnc0640 and lnc5150 were alternated in the RA patients, suggesting that these lncRNAs may involve in the development of RA.

Identification of ST3AGL4, MFHAS1, CSNK2A2 and CD226 as loci associated with systemic lupus erythematosus (SLE) and evaluation of SLE genetics in drug repositioning.

OBJECTIVES: Systemic lupus erythematosus (SLE) is a prototype autoimmune disease with a strong genetic component in its pathogenesis. Through genome-wide association studies (GWAS), we recently identified 10 novel loci associated with SLE and uncovered a number of suggestive loci requiring further validation. This study aimed to validate those loci in independent cohorts and evaluate the role of SLE genetics in drug repositioning. METHODS: We conducted GWAS and replication studies involving 12 280 SLE cases and 18 828 controls, and performed fine-mapping analyses to identify likely causal variants within the newly identified loci. We further scanned drug target databases to evaluate the role of SLE genetics in drug repositioning. RESULTS: We identified three novel loci that surpassed genome-wide significance, including ST3AGL4 (rs13238909, pmeta=4.40E-08), MFHAS1 (rs2428, pmeta=1.17E-08) and CSNK2A2 (rs2731783, pmeta=1.08E-09). We also confirmed the association of CD226 locus with SLE (rs763361, pmeta=2.45E-08). Fine-mapping and functional analyses indicated that the putative causal variants in CSNK2A2 locus reside in an enhancer and are associated with expression of CSNK2A2 in B-lymphocytes, suggesting a potential mechanism of association. In addition, we demonstrated that SLE risk genes were more likely to be interacting proteins with targets of approved SLE drugs (OR=2.41, p=1.50E-03) which supports the role of genetic studies to repurpose drugs approved for other diseases for the treatment of SLE. CONCLUSION: This study identified three novel loci associated with SLE and demonstrated the role of SLE GWAS findings in drug repositioning.