Interpretable machine learning for predicting chronic kidney disease progression risk.

Objective: Chronic kidney disease (CKD) poses a major global health burden. Early CKD risk prediction enables timely interventions, but conventional models have limited accuracy. Machine learning (ML) enhances prediction, but interpretability is needed to support clinical usage with both in diagnostic and decision-making. Methods: A cohort of 491 patients with clinical data was collected for this study. The dataset was randomly split into an 80% training set and a 20% testing set. To achieve the first objective, we developed four ML algorithms (logistic regression, random forests, neural networks, and eXtreme Gradient Boosting (XGBoost)) to classify patients into two classes-those who progressed to CKD stages 3-5 during follow-up (positive class) and those who did not (negative class). For the classification task, the area under the receiver operating characteristic curve (AUC-ROC) was used to evaluate model performance in discriminating between the two classes. For survival analysis, Cox proportional hazards regression (COX) and random survival forests (RSFs) were employed to predict CKD progression, and the concordance index (C-index) and integrated Brier score were used for model evaluation. Furthermore, variable importance, partial dependence plots, and restrict cubic splines were used to interpret the models' results. Results: XGBOOST demonstrated the best predictive performance for CKD progression in the classification task, with an AUC-ROC of 0.867 (95% confidence interval (CI): 0.728-0.100), outperforming the other ML algorithms. In survival analysis, RSF showed slightly better discrimination and calibration on the test set compared to COX, indicating better generalization to new data. Variable importance analysis identified estimated glomerular filtration rate, age, and creatinine as the most important predictors for CKD survival analysis. Further analysis revealed non-linear associations between age and CKD progression, suggesting higher risks in patients aged 52-55 and 65-66 years. The association between cholesterol levels and CKD progression was also non-linear, with lower risks observed when cholesterol levels were in the range of 5.8-6.4 mmol/L. Conclusions: Our study demonstrated the effectiveness of interpretable ML models for predicting CKD progression. The comparison between COX and RSF highlighted the advantages of ML in survival analysis, particularly in handling non-linearity and high-dimensional data. By leveraging interpretable ML for unraveling risk factor relationships, contrasting predictive techniques, and exposing non-linear associations, this study significantly advances CKD risk prediction to enable enhanced clinical decision-making.

Assessing the association between the circulating levels of inflammatory cytokines and the risk of tuberculosis: A bidirectional two-sample mendelian randomization study.

BACKGROUND: Numerous observational studies have previously reported an association between inflammatory cytokines and tuberculosis (TB). However, the causal relationship between these factors remains unclear. Consequently, we conducted two-sample Mendelian randomization (MR) analyses to ascertain the causal link between levels of inflammatory cytokines and the risk of TB. METHODS: Single nucleotide polymorphisms (SNPs) robustly associated with the cytokines, located in or close to their coding gene. SNP was obtained from genome-wide association studies (GWAS) of 8293 individuals of Finnish. TB data was obtained from the UK Biobank, which included 46,293 individuals of European ancestry (comprising 2277 TB cases and 46,056 controls). Two-sample, bi-directional MR analyses using inverse-variance weighted (IVW) method as the primary analysis. Followed by comprehensive sensitivity analyses to validate the robustness of results. RESULT: The study showed that the causal relationship between circulating levels of interleukin (IL)-7 and risk of TB (odds ratio [OR] = 1.001, 95% confidence intervals [CIs]: 1.000, 1.003. p = 0.047). No causal associations were observed between other influencing factors and the occurrence of TB. Furthermore, the analysis revealed that TB infection exhibited negative causal associations with macrophage inflammatory protein 1 alpha ([MIP-1α], OR = 0.007, 95% CI: 0.000, 0.192. p = 0.004), IL-2 (OR = 0.014, 95% CI: 0.010, 0.427. p = 0.014), interleukin-2 receptor alpha chain([IL-2rα], OR = 0.019, 95% CI: 0.001, 0.525. p = 0.019) and basic fibroblast growth factor ([bFGF], OR = 0.066, 95% CI: 0.006, 0.700. p = 0.024). CONCLUSION: The study has illuminated the causal link between inflammatory cytokines and TB, thereby enhancing our comprehension of the potential mechanisms underlying TB pathogenesis. This discovery offers promising avenues for the identification of novel therapeutic targets in TB treatment. These insights may ultimately pave the way for more effective treatment approaches, thereby improving patient outcomes.

Genetically predicted circulating levels of cytokines and the risk of depression: a bidirectional Mendelian-randomization study.

Objective: Inflammatory cytokines disturbance is the main result of immune dysregulation, which is widely described in major depressive disorder (MDD). However, the potential causal relationship between these two factors has not been discovered. Therefore, the purpose of this study was to investigate the causal relationship between inflammatory cytokines and MDD risk by using the two-sample Mendelian randomization (MR) analysis. Method: Two genetic instruments obtained from publicly available gene profile data were utilized for the analysis. We obtained the genetic variation data of 41 inflammatory cytokines from genome-wide association studies (GWAS) meta-analysis of 8293 individuals of Finnish descent. The MDD data, including 135,458 MDD cases and 344,901 controls, were obtained from the Psychiatric Genomics Consortium Database. For the Mendelian randomization (MR) estimation, several methods were employed, namely, MR-Egger regression, inverse-variance weighted (IVW), weighted median, and MR-Pleiotropy RESidual Sum and Outlier (MR-PRESSO) methods. Result: A causal relationship was identified between the genetically proxied levels of Interleukin (IL) -18, IL-1ß, and Regulated upon activation normal T cell expressed and secreted (RANTES) and the risk of MDD (OR = 0.968, 95%CI = 0.938, 0.998, p = 0.036; OR = 0.875, 95%CI = 0.787, 0.971, p = 0.012; OR = 0.947, 95%CI = 0.902, 0.995, p = 0.03; respectively). However, our Mendelian randomization (MR) estimates provided no causality of MDD on inflammatory cytokines. Conclusion: Our study elucidates the connection between inflammatory cytokines and MDD by using MR analysis, thereby enhancing our comprehension of the potential mechanisms. By identifying these associations, our findings hold substantial implications for the development of more effective treatments aimed at improving patient outcomes. However, further investigation is required to fully comprehend the exact biological mechanisms involved.

Global burden and risk factors of musculoskeletal disorders among adolescents and young adults in 204 countries and territories, 1990-2019.

BACKGROUND: Current studies on musculoskeletal (MSK) disorders mainly focus on the elderly, while adolescents and young adults (AYAs) are often neglected despite their unique epidemiology, healthcare needs and societal implications. To bridge this gap, we evaluated the global burden and temporal trends of MSK disorders among AYAs from 1990 to 2019, as well as their common categories and main risk factors. METHODS: Data on the global burden and risk factors of MSK disorders were obtained from the Global Burden of Diseases study 2019. Age standardized rates for incidence, prevalence and disability-adjusted life-years (DALYs) were calculated using the world population age standard, and their temporal trends were evaluated by estimated annual percentage changes (EAPC). Locally estimated scatterplot smoothing (LOESS) regression was used to explore the association between two variables. RESULTS: Over the past 30 years, MSK disorders have become the third leading cause of global DALYs among AYAs, with 36.2%, 39.3%, and 21.2% of increases in incident cases, prevalent cases and DALYs, respectively. In 2019, age standardized incidence, prevalence and DALY rates for MSK disorders were positivity associated with socio-demographic index (SDI) among AYAs in 204 countries and territories. The global age-standardized prevalence and DALY rates of MSK disorders began to increases among AYAs since 2000. In the last decade, countries with high SDI not only presented the only increase in age-standardized incidence rate across all SDI quintiles (EAPC = 0.40, 0.15 to 0.65), but also displayed the most rapid increases in age-standardized prevalence and DALY rates (EAPC = 0.41, 0.24 to 0.57; 0.39, 0.19 to 0.58, respectively). Low back pain (LBP) and neck pain (NP) were the most common MSK disorders among AYAs, accounting for 47.2% and 15.4% of global DALYs of MSK disorders in this population, respectively. Rheumatoid arthritis (RA), osteoarthritis (OA), and gout exhibited increasing trends in global age-standardized incidence, prevalence, and DALY rates among AYAs over the past 30 years (all EAPC >0), whereas LBP and NP showed declining trends (all EAPC <0). Occupational ergonomic factors, smoking and high BMI accounted for 13.9%, 4.3%, and 2.7% of global DALYs for MSK disorders among AYAs, respectively. The proportion of DALYs attributable to occupational ergonomic factors was negatively associated with SDI, whereas the proportions attributable to smoking and high BMI increased with SDI. Over the last 30 years, both the proportions of DALYs attributable to occupational ergonomic factors and smoking have consistently decreased globally and across all SDI quintiles, while the proportion attributable to high BMI has increased. CONCLUSIONS: MSK disorders have emerged as the third leading cause of global DALYs among AYAs over the past three decades. Countries with high SDI should make more efforts to tackle the dual challenges posed by the high levels and rapid increases in age standardized incidence, prevalence, and DALY rates in the last decade.

The rapid and efficient strategy for SARS-CoV-2 Omicron transmission control: analysis of outbreaks at the city level.

BACKGROUND: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron (B.1.1.529) variant is highly transmissible with potential immune escape. Hence, control measures are continuously being optimized to guard against large-scale coronavirus disease 2019 (COVID-19) outbreaks. This study aimed to explore the relationship between the intensity of control measures in response to different SARS-CoV-2 variants and the degree of outbreak control at city level. METHODS: A retrospective study was conducted in 49 cities with COVID-19 outbreaks between January 2020 and June 2022. Epidemiological data on COVID-19 were extracted from the National Health Commission, People's Republic of China, and the population flow data were sourced from the Baidu migration data provided by the Baidu platform. Outbreak control was quantified by calculating the degree of infection growth and the time-varying reproduction number ([Formula: see text]). The intensity of the outbreak response was quantified by calculating the reduction in population mobility during the outbreak period. Correlation and regression analyses of the intensity of the control measures and the degree of outbreak control for the Omicron variant and non-Omicron mutants were conducted, respectively. RESULTS: Overall, 65 outbreaks occurred in 49 cities in China from January 2020 to June 2022. Of them, 66.2% were Omicron outbreaks and 33.8% were non-Omicron outbreaks. The intensity of the control measures was positively correlated with the degree of outbreak control (r = 0.351, P = 0.03). The degree of reduction in population mobility was negatively correlated with the Rt value (r = - 0.612, P < 0.01). Therefore, under the same control measure intensity, the number of new daily Omicron infections was 6.04 times higher than those attributed to non-Omicron variants, and the Rt value of Omicron outbreaks was 2.6 times higher than that of non-Omicron variants. In addition, the duration of non-Omicron variant outbreaks was shorter than that of the outbreaks caused by the Omicron variant (23.0 ± 10.7, 32.9 ± 16.3, t = 2.243, P = 0.031). CONCLUSIONS: Greater intensity of control measures was associated with more effective outbreak control. Thus, in response to the Omicron variant, the management to restrict population movement should be used to control its spread quickly, especially in the case of community transmission occurs widely. Faster than is needed for non-Omicron variants, and decisive control measures should be imposed and dynamically adjusted in accordance with the evolving epidemic situation.

Increased Circulating Pentraxin 3 Levels in Patients with Rheumatoid Arthritis: A Meta-analysis.

BACKGROUND: Pentraxin 3 (PTX3), a soluble pattern recognition molecule, not only acts as a promising indicator reflecting the disease activity of rheumatoid arthritis (RA) patients but exerts essential pathogenic roles in the progression of RA and serves as a potential therapeutic target for RA patients. Our study intends to systematically evaluate the circulating PTX3 levels and their potential influencing factors in RA patients. METHODS: Articles regarding the circulating PTX3 levels of RA patients were identified in Pubmed, Embase, China National Knowledge Infrastructure (CNKI), and Cochrane databases. Standardized mean difference (SMD) and corresponding 95% confidence intervals (95% CI) were calculated and further illustrated by the forest plot. Egger's regression test and sensitivity analysis were conducted to assess the publication bias and stability of the results, respectively. RESULTS: Twenty articles with 21 individual studies were recruited in our meta-analysis. The overall results revealed that compared to healthy controls, RA patients had significantly higher circulating PTX3 levels (pooled SMD = 0.97, 95% CI: 0.48 to 1.45). Subgroup analyses further demonstrated that compared to healthy controls, RA patients of age ≤ 50 years, 2.6 < disease activity score in 28 joints (DAS28) ≤ 3.2, 3.2 < DAS28 ≤ 5.1, DAS28 > 5.1, C-reactive protein (CRP) levels > 10 mg/L, erythrocyte sedimentation rate (ESR) > 20 mm/h, and disease duration > 5 years had significantly higher circulating PTX3 levels, respectively; whereas RA patients of age > 50 years, DAS28 ≤ 2.6, CRP levels ≤ 10 mg/L, ESR ≤ 20 mm/h and disease duration ≤ 5 years had no significantly altered circulating PTX3 levels, respectively. Additionally, no matter whether the patients were of Caucasian ethnicity or not, circulating PTX3 levels were significantly increased in RA patients. CONCLUSION: Compared to healthy controls, circulating PTX3 levels are significantly increased in RA patients, which are influenced by age, disease activity, CRP levels, ESR, and disease duration.

Levels of the macrophage migration inhibitory factor and polymorphisms in systemic lupus erythematosus: a meta-analysis.

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.

B7-H3: A promising therapeutic target for autoimmune diseases.

B7-H3 as a newly identified costimulatory molecule that belongs to B7 ligand family, is broadly expressed in both lymphoid and non-lymphoid tissues. The overexpression of B7-H3 has been verified to be correlated with the poor prognosis and poor clinical outcome of several human cancers. In recent years, researchers reveal that B7-H3 is involved in the pathogenesis of various autoimmune diseases, such as systemic lupus erythematosus (SLE), rheumatoid arthritis (RA), multiple sclerosis (MS), Sjögren's syndrome (SS), ankylosing spondylitis (AS), etc. In this review, we will discuss the biological function of B7-H3 and summarize the progress made over past years regarding its role in the occurrence and development of autoimmune diseases. The insights gained from these findings could serve as the foundation for future therapies of these diseases.

The prevalence and risk factors of prostatic calculi in Han Chinese: a cross-sectional study based on health examinations.

PURPOSE: Prostatic calculi (PCal) are commonly present with prostate disease; we aim to map the incidence and associated clinical risk factors of PCal in Han Chinese. MATERIAL AND METHODS: We retrospectively selected men who sought a medical check-up in 2018. Basic clinical items, including age, weight, height, prostate specific antigen (PSA), uric acid (UA), fasting blood glucose (FBG), urinalysis results, and transabdominal prostate ultrasound, were recorded. Univariate and logistic regression analyses were performed to evaluate whether these factors were associated with the presence of PCal. RESULT: We recorded the parameters of laboratory tests and clinical information from 14,427 men; men with PCal comprised 51.65% of the total group and 76.61% of the subgroup of benign prostate hyperplasia (BPH) patients. All the enrolled parameters showed meaningful differences, but the logistic regression analysis only indicated significant effects related to age (OR = 1.044, 95% CI = 1.040-1.047, and p < .001), body mass index (BMI) (OR = 1.035, 95% CI = 1.022-1.048, and p < .001), UA (OR = 0.999, 95% CI = 0.999-1.000, and p = .029), BPH (OR = 2.923, 95% CI = 2.678-3.191, and p < .001), and prostate cysts (OR = 0.609, 95% CI = 0.471-0.788, and p < .001). The odds ratio of the predicted combined model is 1.068. CONCLUSIONS: PCal was detected in 51.65% of men among healthy Han Chinese and in 76.61% of BPH patients. Age, BMI, UA, BPH, and prostate cysts were independent risk factors for the presence of PCal.

Circulating pentraxin-3 levels in patients with systemic lupus erythematosus: a meta-analysis.

Aim: An existing meta-analysis have investigated the PTX3 levels in systemic lupus erythematosus (SLE) patients, but the number of studies has increased since 2015. We performed an updated meta-analysis to derive a more accurate estimation. Methods: The related literature was systematically searched in PubMed, Embase and The Cochrane Library database (up to 28 February, 2019). Results: SLE patients had significantly higher PTX3 levels than controls (pooled SMD = 0.48; 95% CI: 0.11-0.84). Subgroup analyses indicated SLE patients from non-Caucasian population, with age ≥45 years, SLE disease activity index (SLEDAI) ≥10 and plasma samples had higher PTX3 levels. Conclusion: Circulating PTX3 levels are increased in SLE patients, and affected by age, ethnicity, SLEDAI and sample type.

Age, height, BMI and FBG predict prostate volume in ageing benign prostatic hyperplasia: Evidence from 5285 patients.

AIMS: Several studies have reported a potential association between prostate volume (PV) and prostate disease. Here, we classified the risk factors for PV among benign prostatic hyperplasia (BPH) patients. METHODS: In all, 4293 BPH patients with available clinical information were enrolled. Body mass index (BMI) was obtained as weight divided by height squared. PV was calculated as length × width × height (cm) × π/6. Mann-Whitney U tests were used to determine the differences between PV subgroups. Univariate and multiple linear regression tests were performed to uncover the connection between clinical features and PV. The differences in the age, BMI, height and fasting blood glucose (FBG) of the subgroups were evaluated by Kruskal-Wallis tests and adjusted with Bonferroni post hoc correction. A nomogram was created to directly illustrate the mutual interaction of amalgamator parameters. RESULTS: PV did not influence the incidence of kidney stones (P = .815), whereas prostate calculi were positively associated with an enlarged prostate (>30 mL) (P < .001). Age (adjusted R = 0.363, P < .001), height (adjusted R = 0.088, P < .001), BMI (adjusted R = 0.039, P = .013) and FBG (adjusted R = -0.034, P = .027) were the independent risk/protective factors related to enlarged PV among BPH patients. The nomogram illustrated the predictive risk of an enlarged prostate (>30 mL) in men. The area under the ROC curve value was 0.659 in the training cohort and 0.677 in an internal validation cohort. CONCLUSIONS: Age, height and BMI were positive independent risk factors of enlarged PV in BPH patients, and FBG had a protective role.

Association between circulating 25-hydroxyvitamin D and systemic lupus erythematosus: A systematic review and meta-analysis.

AIM: The indicators for measuring vitamin D are various, and 25-hydroxyvitamin D (25(OH)D) is considered as the optimal indicator of total vitamin D levels. In this study, we aim to deeply explore the 25(OH)D status in systemic lupus erythematosus (SLE) patients, and evaluate its relation to SLE risk and disease severity. METHODS: Literature about 25(OH)D status and its associations with SLE were searched in Pubmed, Embase and Cochrane Library databases. Standardized mean difference (SMD), odds ratio (OR) and corresponding 95% confidence interval (95% CI) were illustrated by forest plots, and correlation coefficients (r) were combined by generic inverse variance method. Heterogeneity and publication bias were quantified by I-squared (I2 ) test, funnel plot and Egger's test, respectively. Sensitivity analyses were further examined by leave-one-out method. RESULTS: Nineteen articles were included into our meta-analysis. The overall results showed that compared with the healthy controls, the circulating 25(OH)D levels were significantly lower in SLE patients (pooled SMD = -1.63, 95% CI: -2.51 to -0.76). Subgroup analysis revealed that compared with the healthy controls, SLE patients of Systemic Lupus Erythematosus Disease Activity Index (SLEDAI) ≥ 10, Arab and European ethnicity, all 4 seasons, no vitamin D supplement, had significantly lower circulating 25(OH)D levels; no significant differences were observed in SLE patients of SLEDAI < 10, mixed ethnicity, spring, summer, vitamin D supplement, respectively; no matter the changes of age, disease duration, and the therapy of corticosteroid or immunosuppressive or neither, circulating 25(OH)D levels were significantly reduced in SLE patients. The deficiency, insufficiency and sufficiency of vitamin D could significantly elevate, slightly decrease (not significantly), significantly decrease SLE risk, respectively (pooled OR = 4.37, 95% CI: 1.49 to 12.84; pooled OR = 0.52, 95% CI: 0.22 to 1.26; pooled OR = 0.31, 95% CI: 0.15 to 0.63). Circulating 25(OH)D levels were inversely associated with SLEDAI (pooled correlation coefficient = -0.50, 95% CI: -0.8278 to -0.1689). CONCLUSIONS: Compared with healthy controls, 25(OH)D levels are significantly lower in SLE patients, which is influenced by disease activity, ethnicity, seasons and vitamin D supplement; no matter the change of age, diseases duration and therapy of corticosteroid or immunosuppressive or neither, 25(OH)D levels are significantly decreased in SLE patients; the deficiency, insufficiency and sufficiency of vitamin D could significantly elevate, slightly decrease, and significantly decrease SLE risk, respectively; and 25(OH)D levels inversely correlate with SLEDAI.

Differential Plasma Expression Profiles of Long Non-Coding RNAs Reveal Potential Biomarkers for Systemic Lupus Erythematosus.

Identify long non-coding RNAs (lncRNAs) that might serve as biomarkers for systemic lupus erythematosus (SLE) and explore the biological functions of the identified lncRNAs. In the screening phase, we examined the lncRNA expression profile of plasma samples from 24 patients with SLE and 12 healthy controls (HCs) using lncRNA microarray with pooled samples. The candidate lncRNAs were verified in individual samples by quantitative real-time (qRT)-PCR. In the independent validation stage, the identified lncRNAs were evaluated in 240 patients with SLE and 120 HCs. The identified lncRNAs were assessed further in an external validation stage including patients with rheumatoid arthritis (RA) and primary Sjögren's syndrome (pSS). In addition, we constructed correlated expression networks including coding-non-coding co-expression and competing endogenous RNAs (ceRNAs). Plasma levels of linc0597, lnc0640, and lnc5150 were elevated in SLE patients compared with those of HCs, whereas levels of GAS5 and lnc7074 were decreased. Five lncRNAs were identified as potential SLE biomarkers with an area under the receiver operating characteristic curve (AUC) ranging from 0.604 to 0.833 in the independent validation phase. This panel of five lncRNAs had high diagnostic accuracy for SLE (AUC = 0.966) and distinguished SLE from RA and pSS (AUC = 0.683 and 0.910, respectively). Co-expression analysis showed that GAS5, lnc0640, and lnc5150 may participate in the SLE pathogenesis through the MAPK pathway. The ceRNA network indicated that GAS5, lnc0640, lnc3643, lnc6655, and lnc7074 bind competitively with microRNAs regulating the expression of target genes. Aberrant expression and related pathways suggest the important role of lncRNAs in SLE pathogenesis. In addition, the panel of five lncRNAs (GAS5, lnc7074, linc0597, lnc0640, and lnc5150) in plasma could be used as SLE biomarkers.

Association between Interleukin 35 Gene Single Nucleotide Polymorphisms and Systemic Lupus Erythematosus in a Chinese Han Population.

Interleukin-35 (IL-35) exerts crucial roles in the pathogenesis and development of systemic lupus erythematosus (SLE), in this study we aim to explore the associations between IL-35 gene polymorphisms and the susceptibility, clinical features and plasma IL-35 levels of SLE patients, respectively. 490 SLE patients and 489 healthy controls were recruited in our study. The correlations between the polymorphisms of seven SNPs of IL-35 encoding gene and the susceptibility, main clinical manifestations of SLE were evaluated, respectively. Plasma IL-35 levels were assessed in 76 SLE patients, and the associations between plasma IL-35 levels and the polymorphisms of genotyped SNPs were explored. There were significant associations between the polymorphisms of rs4740 and the occurrence of renal disorder, hematological disorder in SLE patients, respectively (p = 0.001; p = 0.001). In addition, there were no significant associations observed between the genotype frequencies of genotyped SNPs and the risk of SLE, plasma IL-35 levels, respectively. The polymorphism of rs4740 of IL-35 encoding gene is associated with the occurrence of renal disorder and hematological disorder of SLE patients.

Subclinical Atherosclerosis in Patients With Type 1 Diabetes Mellitus: A Systematic Review and Meta-Analysis.

Cardiovascular (CV) risk in type 1 diabetes mellitus (T1DM) is increased. In this study, we evaluated the differences in major markers of CV risk between patients with T1DM and healthy controls by a systematic review and meta-analysis. Literature from PubMed, EMBASE, and The Cochrane Library comparing CV risk markers between patients with T1DM and controls was obtained. The overall standard mean differences (SMDs) of carotid intima-media thickness (cIMT), endothelium-dependent flow-mediated dilation (FMD%), carotid-femoral pulse wave velocity (cf-PWV), and glyceryl trinitrate-mediated dilatation (GTN%) with its 95% confidence interval (CI) between patients with T1DM and control groups were calculated using fixed-effect or random-effect model. Heterogeneity was evaluated using the Cochran Q and I2 statistics. The results showed that patients with T1DM had a significantly greater cIMT (SMD: 0.89; 95% CI, 0.69-1.09; P < .001), significantly lower FMD% (SMD: -1.45%; 95% CI, -1.74 to -1.17; P < .001), significantly increased cf-PWV (SMD: 0.57; 95% CI, 0.03-1.11; P < .001), and significantly decreased GTN% (SMD: -1.11; 95% CI, -1.55 to -0.66; P < .001) than controls. Our results support the current evidence for an elevated CV burden in patients with T1DM and affirm the clinical utility of markers of subclinical atherosclerosis in the management of these patients.

Genetic polymorphisms of G protein-coupled receptor 65 gene are associated with ankylosing spondylitis in a Chinese Han population: A case-control study.

OBJECTIVE: This study aimed to assess the association between two tag single nucleotide polymorphisms (SNPs) (rs68177277 and rs11624293) of G protein-coupled receptor 65 (GPR65) gene and ankylosing spondylitis (AS) susceptibility in a Chinese Han population. METHODS: 673 patients with AS diagnosed according to the modified New York criteria and 679 age- and gender-matched healthy controls were recruited. SNP genotyping for rs68177277 and rs11624293 polymorphisms were performed using the SNPscan technique. Disease activity was assessed by the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI). RESULTS: Genotype and allele distribution of rs11624293 but not rs68177277 were significantly different between AS and controls (p = 0.004 and p = 0.002). Compared to the wild-type T/T genotype and T allele at rs11624293, the frequencies of C/T genotype and C allele were significantly higher in AS than controls after adjusting for age and gender (OR = 1.527, 95%CIs: 1.190-1.958; OR = 1.515, 95%CIs: 1.183-1.942, respectively). Dominant and co-dominant model of rs11624293 were predictive of AS susceptibility. In AS patients, the genotype of rs11624293 was significantly associated with BASFI scores in those with low disease activity (BASDAI < 4, p = 0.007). CONCLUSIONS: The results of our study suggest that rs11624293 polymorphism of GPR65 gene is associated with the susceptibility and severity of AS in Chinese Han population.

Circulating Matrix Metalloproteinase-9 Levels in Patients with Systemic Lupus Erythematosus: A Meta-analysis.

BACKGROUND AND AIMS: Matrix metalloproteinase-9 (MMP-9) is closely related to the pathogenesis of autoimmune diseases, especially Systemic Lupus Erythematosus (SLE). However, published works about the circulating MMP-9 levels in SLE are contradictory. A meta-analysis was performed to estimate circulating MMP- 9 levels in SLE patients more accurately and explore its related influencing factors. METHODS: The related literatures were systematically searched in PubMed, Embase, and The Cochrane Library database (up to 31 January 2018). Pooled Standardized Mean Difference (SMD) and 95% Confidence Interval (CI) of circulating MMP-9 levels were calculated by Stata12.0 software according to fixed-effect or randomeffect model analysis. RESULTS: A total of 638 articles were retrieved, and 12 studies including 730 SLE cases and 759 controls were finally included in the meta-analysis. No significant differences in circulating MMP-9 levels were observed between SLE patients and healthy controls (pooled SMD = -0.209, 95% CI = -0.812 to 0.394). However, subgroup analyses indicated that age<30 years group had higher MMP-9 levels (SMD = 0.991, 95% CI: 0.504 to 1.478) and sample size (n ≥ 60) group had lower MMP-9 levels when compared with controls (SMD = -0.755, 95% CI: - 1.347 to -0.163). CONCLUSION: The meta-analysis of current evidence suggests that circulating MMP-9 levels do not differ between SLE patients and healthy controls, however, the results may be affected by age and sample size. Further studies are needed to clarify the relationship between SLE and circulating MMP-9 levels.

Lack of association between mean platelet volume and disease activity in systemic lupus erythematosus patients: a systematic review and meta-analysis.

Currently, many studies have focused on the possibility of using mean platelet volume (MPV) as a biomarker for disease activity in patients with systemic lupus erythematosus (SLE). To derive a more accurate estimation, a meta-analysis was conducted. Embase, PubMed, The Cochrane Library database and several Chinese databases (up to Nov 1 2017) were used to acquire published literatures on association of MPV levels with disease activity in SLE patients. Fixed-effects or random-effect model analysis was performed to calculate pooled standard mean difference (SMD) with 95% confidence interval (CI). Heterogeneity test was tested by the Q statistic and quantified using I2. A funnel plot and Egger's linear regression test were used to evaluate the potential publication bias. A total of 618 articles were identified, nine studies with 376 active SLE patients and 270 inactive SLE patients were finally included. No significant difference in MPV level was found between active SLE patients and inactive SLE patients (SMD = - 0.05, 95% CI: - 0.83, 0.73). Subgroup analyses stratified by age or region also demonstrated consistent results. No significant publication bias was observed (P > 0.05). The sensitivity analysis showed no significant change when any one study was excluded. In summary, our meta-analysis does not support the use of MPV as an indicator for monitoring disease activity in SLE patients. Further longitudinal studies with larger sample size are warranted to unveil the possibility of using MPV as a biomarker of disease activity.

Prevalence of pulmonary hypertension in systemic lupus erythematosus: a meta-analysis.

BACKGROUND AND AIMS: Pulmonary hypertension (PH) has been suggested to be associated with systemic lupus erythematosus (SLE). However, the results of prevalence studies on PH in SLE vary substantially. To derive a more precise estimation on the prevalence of PH in SLE, a meta-analysis was performed. METHODS: Relevant literatures were searched in PubMed and EMBASE until November 2017. A total of 1366 articles were obtained after searching databases, and 23 studies were finally included in the meta-analysis. Heterogeneity test was performed, and publication bias was evaluated. RESULTS: The result of analysis in random effect model showed that the pooled prevalence was 8% (95%CI 5-12%). There was no evidence of publication bias (p = 0.51). To evaluate the stability of our results, sensitivity analyses were performed, and the results showed no significant change when any one study was excluded. Subgroup analyses demonstrated that there were significant differences in PH prevalence in SLE patients of different gender, age, regions, year of publication, and diagnostic methods. CONCLUSIONS: PH is prevalent in SLE patients, but it was significantly different between different gender, age, regions, year of publication, and diagnostic methods.