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.

Circulating Levels of Osteoprotegerin, Osteocalcin and Osteopontin in Patients with Rheumatoid Arthritis: A Systematic Review and Meta-Analysis.

OBJECTIVE: Currently published data regarding the potential role of osteoprotegerin (OPG), osteocalcin (OCN) and osteopontin (OPN) for the discrimination between rheumatoid arthritis (RA) and osteoarthritis (OA) are contradictory. To derive a more precise evaluation, a meta-analysis was performed. METHODS: Published literatures comparing plasma/serum OPG, OCN and OPN levels between RA group and OA controls were searched in PubMed, Embase and the Cochrane Library. The Newcastle-Ottawa Scale was used to assess the study quality. Pooled standard mean difference (SMD) with 95% confidence interval (CI) was calculated by random-effect model analysis. Heterogeneity test was performed by the Q statistic and quantified using I2. RESULTS: Nine studies including 438 RA patients and 255 OA patients were finally incorporated in the meta-analysis after examining title, type, abstracts and full text. The results showed that RA patients had higher plasma/serum OPN (pooled SMD = -2.57, 95% CI = -4.72 to -0.41) levels when compared to OA patients. No significant difference in plasma/serum OPG (pooled SMD = -0.29, 95% CI = -1.07‒0.49) and OCN (pooled SMD = -0.09, 95% CI = -0.48‒0.31) levels were found between RA patients and OA patients. Subgroup analysis indicated that plasma/serum OPG levels had no significant differences between RA patients and OA patients in Europe and Asian. CONCLUSIONS: Overall, there is no significant difference in circulating OPG and OCN levels between RA patients and OA patients. However, plasma/serum OPN level is significantly higher in RA patients compared with OA patients.

A dense mapping study of six European AITD susceptibility regions in a large Chinese Han Cohort of Graves' disease.

OBJECTIVE: We aimed to investigate the six susceptibility loci of GD identified from European population in Chinese Han population and further to estimate the genetic heterogeneity of them in stratification of our GD patients. DESIGN: Dense mapping studies based on GWAS. PATIENTS: A total of 1536 GD patients and 1516 controls in GWAS stage and 1994 GD patients and 2085 controls and 5033 GD patients and 5389 controls in two replication stages. MEASUREMENTS: Based on our previous GWAS data, independently GD-associated SNPs in each region were identified by TagSNP analysis and logistic regression analysis. The association of these SNPs was investigated in 1994 GD patients and 2085 controls, and then, the significantly associated SNPs (P < 0.05) were further genotyped in a second cohort including 5033 GD patients and 5389 controls. RESULTS: After the first replication stage, four SNPs from three regions with Pfirst  < 0.05 were further selected and genotyped in another independent cohort. The association of two SNPs with GD was confirmed in combined Chinese cohorts: rs12575636 at 11q21 (Pcombined  = 7.55 × 10-11 , OR = 1.27) and rs1881145 in TRIB2 at 2p25.1 (Pcombined  = 5.59 × 10-8 , OR = 1.14). Further study disclosed no significant difference for these SNPs between GD subsets. However, eQTL data revealed that SESN3 could be a potential susceptibility gene of GD in 11q21 region. CONCLUSIONS: Out of the six susceptibility loci of GD identified from European population, two risk loci were confirmed in a large Chinese Han population. There is variability in GD genetic susceptibility in different ethnic groups. SESN3 is a potential susceptible gene of GD in 11q21.

The comparison of adductor canal block with femoral nerve block following total knee arthroplasty: a systematic review with meta-analysis.

PURPOSE: Although several studies have compared the clinical efficacy of an adductor canal block (ACB) to that of a femoral nerve block (FNB) for analgesia after total knee arthroplasty (TKA), disputes mainly exist in the recovery of quadriceps strength and mobilization ability between the two methods. The aim of the present study was to compare, in a systematic review and meta-analysis, the clinical efficacy of ACB with that of FNB. METHODS: We systematically searched randomized controlled trials comparing FNB with ACB for analgesia after TKA in Pubmed and the Cochrane Library from inception to April 30th 2015. There was no limitation of publication language. Trial quality was assessed using the modified Jadad scale, and eligible data were pooled for meta-analysis. RESULTS: Five studies of 348 patients were included. Outcomes showed that patients who received ACB had similar or better recovery of quadriceps strength and mobilization ability than those that underwent FNB. Similar efficacy was found between the two strategies regarding adductor strength, pain scores [at rest (p = 0.86), at or after knee flexion (p = 0.31)], opioid consumption (p = 0.99), opioid-associated adverse effects (p = 0.60), length of hospital stay (p = 0.42), patient satisfaction (p = 0.57), and success rate of blockade (p = 0.20). CONCLUSIONS: The present study suggests that TKA patients who receive ACB can achieve similar or even better recovery of quadriceps strength and mobilization ability than those treated with FNB. Taken as a whole, ACB may be a better analgesia strategy after TKA at present.

Compelling Evidence Linking CD40 Gene With Graves' Disease in the Chinese Han Population.

Mutations in CD40 have been widely reported to be risk factors for Graves' disease (GD). The gene, along with its cognate ligand CD40L, may regulate pro-inflammatory and immune responses. Rs1883832, located at the -1 position of the Kozak sequence, is the most well-studied single nucleotide polymorphism (SNP) of CD40, and has been confirmed to predispose those with the alteration to GD, regardless of ethnicity. Our genome-wide association study (GWAS) indicated that several SNPs, including rs1883832 located within the vicinity of CD40 were associated with GD in the Han Chinese population. Aiming at identifying the most consequential SNP and its underlying pathogenic mechanism, we performed a two-stage refined study on 8,171 patients with GD and 7,906 controls, and found rs1883832 was the most significantly GD-associated SNP in the CD40 gene region (PCombined = 9.17×10-11, OR = 1.18). Through searching the cis-expression quantitative trait locus database and using quantitative RT-PCR, we further discovered that the rs1883832 genotype can influence CD40 gene transcription. Furthermore, we demonstrated that rs1883832 is a susceptibility locus for pTRAb+ GD patients. In conclusion, the current study provides robust evidence that rs1883832 can regulate CD40 gene expression and affect serum TRAb levels, which ultimately contributes to the development of GD.

Sulfiredoxin-1 is a promising novel prognostic biomarker for hepatocellular carcinoma.

Identifying novel prognostic biomarkers for hepatocellular carcinoma (HCC) and then, develop an effective individualized treatment strategy remain extremely warranted. The prognostic role of sulfiredoxin-1(SRXN1), an antioxidant enzyme, remains unknown in HCC. This study aimed to explore the prognostic implications of SRXN1 in HCC patients after partial hepatectomy. The expression of SRXN1 in HCC and normal tissue were analyzed using the patients from the public databases and Zhongshan Hospital. The Cox regression, Kaplan-Meier survival analysis, and time-dependent receiver operating characteristic curves were performed to identify the predictive role of SRXN1 expression on HCC patients. A prognostic nomogram based on SRXN1 expression was constructed and validated to further confirm the predictive power of SRXN1 as a prognostic biomarker. Finally, functional enrichment analysis and protein-protein interaction network analysis of SRXN1 and its associated genes were conducted. The results showed that SRXN1 was upregulated in HCC samples compared with the normal liver tissues. Patients with SRXN1 upregulation had shorter survival time. SRXN1 overexpression was significantly correlated with advanced clinicopathological parameters. The prognostic nomogram based on SRXN1 expression was proved to be more accurate than routine staging systems for the prediction of overall survival. Protein-protein interaction network analysis demonstrated the first neighbor genes of SRXN1 mainly participated in response to oxidative stress. In brief, SRXN1 could be a prognostic biomarker for the management of HCC.

Genetic Study in a Large Cohort Supported Different Pathogenesis of Graves' Disease and Hashimoto's Hypothyroidism.

CONTEXT: Hashimoto's thyroiditis (HT) and Graves' disease (GD) are the 2 main autoimmune thyroid diseases that have both similarities and differences. Determining the genetic basis that distinguishes HT from GD is key for a better understanding of the differences between these closely related diseases. OBJECTS: To identify the susceptibility genes for HT in the Chinese cohort and compare susceptibility genes between GD and HT. DESIGN: In the current study, 18 SNPs from 18 established GD risk loci were selected and then genotyped in 2682 patients with HT, 4980 patients with GD, and 3892 controls. The association analysis between HT and controls and heterogeneity analysis between HT and GD were performed on SPSS, with the logistic regression analysis adjusted for sex and age. RESULTS: We identified 11 susceptibility loci for HT in the Chinese Han population, with 4 loci, including the rs1265883 in SLAMF6 locus, rs1024161 in CTLA4, rs1521 in HLA-B, and rs5912838 in GPR174/ ITM2A at X chromosome, reaching genome-wide significance of 5 × 10-8. Five loci were reported to be associated with HT for the first time. We also identified 6 susceptibility loci with heterogeneity between GD and HT. Out of them, 4 loci were associated with GD but not with HT, including HLA-DPB1, CD40, TSHR, and TG; the association of HLA-B with GD was stronger than that with HT, but the association of SLAMF6 was reversed. CONCLUSION: Our findings suggested that the pathogenesis of HT and GD was different.

A Weighted Genetic Risk Score Using Known Susceptibility Variants to Predict Graves Disease Risk.

CONTEXT: Graves disease (GD) is a common thyroid-specific autoimmune disease and one of the most heritable diseases in the population. We present a risk-prediction model, including confirmed, known genetic variants associated with GD. DESIGN: To construct a stable-prediction model, we used known GD susceptibility single nucleotide polymorphisms (SNPs) as markers and trained and tested our model in a cohort of 4897 patients with GD and 5098 healthy controls. We weighted the contribution of each SNP to the disease to calculate the weighted genetic risk score (wGRS) for each individual. The efficiency of this model can be estimated by the area under the curve (AUC) receiver operator characteristic curve and the specificity and sensitivity of each wGRS. RESULTS: With the 20 confirmed GD risk-related SNPs, our wGRS-prediction model could predict patients with GD from the general population (AUC 0.70 [95% CI: 0.69 to 0.71]) and did especially well in predicting patients with GD with persisting thyroid-stimulating hormone receptor antibody positive [pTRAb+; AUC 0.74 (95% CI: 0.72 to 0.76)]. We also evaluated how the four pTRAb+ specific risk SNPs predicted patients with GD with pTRAb+ among all patients with GD [AUC 0.62 (95% CI: 0.61 to 0.63)]. For clinical use, we partitioned subjects in each set into different risk categories to generate the wGRS cutoff of high risk for reference. CONCLUSIONS: Our study provides an approach to predict GD risk in the general population by the calculation of the wGRS of 20 known GD susceptibility variants. The wGRS-prediction model was more stable and convenient, whereas the prediction performance was still modest.

Assessment of Molecular Subtypes in Thyrotoxic Periodic Paralysis and Graves Disease Among Chinese Han Adults: A Population-Based Genome-Wide Association Study.

Importance: Thyrotoxic periodic paralysis (TPP) is a potentially lethal complication of hyperthyroidism. However, only 1 specific susceptibility locus for TPP has been identified. Additional genetic determinants should be detected so that a prediction model can be constructed. Objective: To investigate the genetic architecture of TPP and distinguish TPP from Graves disease cohorts. Design, Setting, and Participants: This population-based case-control study used a 2-stage genome-wide association study to investigate the risk loci of TPP and weighted genetic risk score to construct a TPP prediction model with data from a Chinese Han population recruited in hospitals in China from March 2003 to December 2015. The analysis was conducted from November 2014 to August 2016. Main Outcomes and Measures: Loci specifically associated with TPP risk and those shared with Graves disease and prediction model of joint effects of TPP-specific loci. Results: A total of 537 patients with TPP (mean [SD] age, 35 [11] years; 458 male) 1519 patients with Graves disease and no history of TPP (mean [SD] age, 38 [13] years; 366 male), and 3249 healthy participants (mean [SD] age, 46 [10] years; 1648 male) were recruited from the Han population by hospitals throughout China. Two new TPP-specific susceptibility loci were identified: DCHS2 on 4q31.3 (rs1352714: odds ratio [OR], 1.58; 95% CI, 1.35-1.85; P = 1.24 × 10-8) and C11orf67 on 11q14.1 (rs2186564: OR, 1.50; 95% CI, 1.29-1.74; P = 2.80 × 10-7). One previously reported specific locus was confirmed on 17q24.3 near KCNJ2 (rs312729: OR, 2.08; 95% CI, 1.83-2.38; P = 8.02 × 10-29). Meanwhile, 2 risk loci (MHC and Xq21.1) were shared by Graves disease and TPP. After 2 years of treatment, the ratio of persistent thyrotropin receptor antibody positivity was higher in patients with TPP than in patients with Graves disease and no history of TPP (OR, 3.82; 95% CI, 2.04-7.16; P = 7.05 × 10-6). The prediction model using a weighted genetic risk score and 11 candidate TPP-specific single-nucleotide polymorphisms had an area under the curve of 0.80. Conclusions and Relevance: These findings provide evidence that TPP is a novel molecular subtype of Graves disease. The newly identified loci, along with other previously reported loci, demonstrate the growing complexity of the heritable contribution to TPP pathogenesis. A complete genetic architecture will be helpful to understand the pathophysiology of TPP, and a useful prediction model could prevent the onset of TPP.

Association between rheumatoid arthritis and genetic variants of natural resistance-associated macrophage protein 1 gene: A meta-analysis.

AIM: To evaluate the association between natural resistance-associated macrophage protein 1 (NRAMP1) polymorphisms and rheumatoid arthritis (RA). METHOD: All related studies were retrieved and screened from PubMed, CNKI and Web of Science. Pooled odds ratios (ORs) and 95% CIs were assessed for the strength of association between NRAMP1 and RA. Publication bias was measured by Begg's funnel plot and Egger's regression test. The robustness of this meta-analysis was detected by sensitivity analysis. RESULTS: A total of five eligible publications were included in the present meta-analysis. The polled data showed no association between RA and NRAMP1 D543N and 1729 + 55del4 in the allele model. However, the relationship between RA and NRAMP1 INT4 was statistically significant (OR 1.65, 95% CI 1.14-2.38). Genotypic analysis demonstrated that there were no associations between RA and NRAMP1 D543N, 1729 + 55del4 and INT4 in homozygous comparison (D543N: OR 0.97, 95% CI 0.15-6.09; 1729 + 55del4: OR 1.19, 95% CI 0.29-24.88; INT4: OR 3.18, 95% CI 0.62-16.26), dominant model (D543N: OR 1.04, 95% CI 0.61-61.78; 1729 + 55del4: OR 1.41, 95% CI 0.81-2.47; INT4: OR 1.22, 95% CI 0.72-2.06) and recessive model (D543N: OR 0.93, 95% CI 0.15-5.91; 1729 + 55del4: OR 0.99, 95% CI 0.26-3.86; INT4: OR 2.95, 95% CI 0.61-14.16). In heterozygous comparison, it no association was shown between RA and NRAMP1 D543N and INT4, excepting NRAMP1 1729 + 55del4 (OR 1.73, 95% CI 1.17-2.56). Further subgroup analysis indicated that NRAMP1 1729 + 55del4 and INT4 were related to RA in Asia and in the Hardy-Weinberg equilibrium group. There exists no publication bias in this meta-analysis. CONCLUSION: This meta-analysis indicated that NRAMP1 1729 + 55del4 and INT4 confer susceptibility to RA.

Lack of association of tumor necrosis factor superfamily member 4 (TNFSF4) gene polymorphisms (rs3850641 and rs17568) with coronary heart disease and stroke: A systematic review and meta-analysis.

OBJECTIVE: To evaluate the association between the tumor necrosis factor superfamily member 4 (TNFSF4) gene polymorphisms and common cardiovascular and cerebrovascular diseases. METHODS: A literature-based search was conducted through databases including PubMed, EMBASE, Cochrane Library, CNKI, and WanFang data. Crude odds ratios (ORs) and 95% confidence intervals (CI) were calculated to estimate the strength of the association between TNFSF4 polymorphisms (rs3850641 and rs17568) and the risk of coronary heart disease (CHD) and stroke. RESULTS: Overall, 11 eligible studies were included in this meta-analysis. G allele was showed not to be associated with CHD and stroke, compared with A allele (rs3850641: OR=1.02, 95% CI=0.89-1.17; rs17568: OR=1.09, 95% CI=0.89-1.33). Genotypic analysis demonstrated that there was no significant association between the risk of CHD and stroke and rs3850641 [homozygous comparison (GG vs. AA): OR=1.05, 95% CI=0.74-1.50; heterozygous comparison (GA vs. AA): OR=1.00, 95% CI=0.88-1.13; recessive model (GG vs. GA+AA): OR=1.04, 95% CI=0.76-1.43; dominant model (GG+GA vs. AA): OR=1.01, 95% CI=0.88-1.17]. Similarly, no susceptibility between CHD and stroke and rs17568 polymorphism was uncovered (GG vs. AA: OR=1.04, 95% CI=0.74-1.46; GA vs. AA: OR=1.07, 95% CI=0.62-1.83; GG+GA vs. AA: OR=1.13, 95% CI=0.82-1.56; GG vs. GA+AA: OR=1.01, 95% CI=0.74-1.39). CONCLUSION: The present study demonstrated that there is no significant relationship between TNFSF4 gene polymorphism and cerebrovascular and cardiovascular diseases.

ITM2A Expands Evidence for Genetic and Environmental Interaction in Graves Disease Pathogenesis.

Context: Graves disease (GD) is a common autoimmune disease triggered by genetic predisposition and environmental factors. However, the mechanisms of interaction between genetic and environmental factors contributing to the development of GD remain unknown. Objective: We aimed to identify GD susceptibility variants and genes on Xq21.1 locus and interpret the contribution of interaction between genetic predisposition on Xq21.1 and environmental factors to GD. Design: We performed refining study on Xq21.1 in a 2-stage study and carried out expression quantitative trait locus analysis of the best association signal with GD. Setting and Participants: A total of 4316 GD patients and 4374 sex-matched controls were collected from the Chinese Han population by cooperation with multiple hospitals. Results: We identified that rs3827440 or its linkage single nucleotide polymorphisms (SNPs) were probably the causal variant in the Xq21.1 locus, with the most substantial association with GD in our combined cohorts (P = 2.45 × 10-15). The genotypes of rs3827440 were correlated with the expression of ITM2A in monocytes and peripheral blood mononuclear cells (PBMCs) from healthy volunteers. Notably, the expression of ITM2A in monocytes after lipopolysaccharide (LPS) and interferon-γ (INF-γ) stimulation showed substantial difference among the volunteers that carried different genotypes of rs3827440 (P = 9.40 × 10-7 and P = 1.26 × 10-5 for 24 hours' LPS and INF-γ stimulation, respectively). Moreover, ITM2A expression was significantly decreased in PBMCs from untreated GD patients than that from controls. Conclusion: The results suggest that ITM2A might be a susceptibility gene for GD in the Xq21.1 locus, and environmental factors, such as viral and bacterial infections, probably contribute to GD pathogenesis by interacting with the risk SNP rs3827440 mediating the regulation of ITM2A expression.