Threatening biomarkers in lupus pregnancy: Biochemistry and genetic challenges

Karim Mowla , Elham Rajaei , Mohammad Taha Jalali , Zeinab Deris Zayeri

Front. Biol. ›› 2018, Vol. 13 ›› Issue (1) : 28 -35.

PDF (146KB)
Front. Biol. ›› 2018, Vol. 13 ›› Issue (1) : 28 -35. DOI: 10.1007/s11515-017-1477-8
REVIEW
REVIEW

Threatening biomarkers in lupus pregnancy: Biochemistry and genetic challenges

Author information +
History +
PDF (146KB)

Abstract

OBJECTIVES: Using genetic markers and miRs work strongly beside other sensitive biomarkers in lupus management during sensitive period of pregnancy.

METHOD: PubMed and Google Scholar databases were searched from 2000 to 2017 using the terms “lupus,” “lupus pregnancy,” “biomarkers,” “micro-RNA,” “polymorphisms,” “anti-phospholipid antibodies,” and “cluster differentiation markers.”

DISCUSSION: Complement is a valuable biomarker in lupus pregnancy. However, the complement profile has ambiguous meaning because decreased levels of C3 and C4 reflect inflammation and because they are also prognostic biomarkers for abortion. Furthermore, increased C3 and C4 levels indicate hepatic protein synthesis in hepatocytes. Anti-phospholipid (APL) antibodies are present in 25% to 50% of lupus patients, and can lead to thrombotic and obstetric complications in some pregnancies and increase the risk of abortion, especially in a pregnant woman in the active phase of lupus. Several studies have associated APL with HELLP syndrome. However, other pregnancy complications have not been associated with APL. Autoantibodies against the major vault protein and anti-double strand DNA antibodies are valuable biomarkers in evaluating lupus activity. The expression pattern of micro-RNAs (miRs) differs in various diseases. Current studies have demonstrated the potential of miRs as diagnostic and prognostic biomarkers in various diseases; for example, the level of miR-126 is higher in lupus.

CONCLUSION: miR-223-3p and miR-451 are informative biomarkers in estimating disease activity. TWEAK, BAFF, and APOL1 genes, and their polymorphisms are informative in estimating disease activity, especially renal effects, and in monitoring higher-risk pregnant women. Further studies of these genes and their relevant polymorphisms are needed.

Keywords

lupus / biomarker / genetic / micro-RNA / anti-phospholipid antibodies

Cite this article

Download citation ▾
Karim Mowla, Elham Rajaei, Mohammad Taha Jalali, Zeinab Deris Zayeri. Threatening biomarkers in lupus pregnancy: Biochemistry and genetic challenges. Front. Biol., 2018, 13(1): 28-35 DOI:10.1007/s11515-017-1477-8

登录浏览全文

4963

注册一个新账户 忘记密码

Introduction

Lupus is an immune-mediated disease. In pregnant women, the hormonal and immunological changes that occur can pose a potentially dangerous health challenge to the woman and the fetus. It is essential to control lupus disease activity in pregnancy (Molad et al., 2005). Complications such as preeclampsia, thrombocytopenia, inflammation, and production of anti-phospholipid antibodies (APLs) exacerbate the challenges in a lupus pregnancy (Vinet et al., 2014; Moroni and Ponticelli, 2016; Teh et al., 2016). While the outcomes of pregnancy have improved in women with lupus, pregnancy remains a high-risk situation. Maternal complications and risks remain. For instance, lupus activity flares occur in 25% to 65% of pregnancies in women with lupus (Lateef and Petri, 2017). Risk factors including active lupus in the prior six months or multiple flares in previous years increase lupus-related activities such as arthritis and hematologic diseases such as thrombocytopenia during pregnancy (Ho et al., 2001; Clowse, 2007). Lupus-related pregnancy complications such as intrauterine growth restriction (IUGR) (Sammaritano, 2017) and preterm birth can harm the fetus and increase the risk of mortality (Massenkeil et al., 2016). Preeclampsia in lupus patients can increase blood pressure, which endangers both the pregnant woman and the fetus (e.g., higher risk of stroke) (Lateef and Petri, 2013). Preterm birth and death and exact treatment for preeclampsia is delivery of the pregnancy (Chakravarty et al., 2005; 2006). Pregnancy in women with lupus, especially those who have APLs, poses risks of preeclampsia and placenta insufficiency. Detecting pregnancies with poor outcomes could lessen adverse outcomes in women at high risk (Kim et al., 2016b). In anti-phospholipid syndrome (APS), HELLP syndrome seems to be associated with pre-eclampsia/eclampsia and earlier occurrence of eclampsia than in the general population (Le Thi Thuong et al., 2005). Women with thrombotic events have a higher risk of pregnancy complications compared with normal cases. Treatment with aspirin and low molecular weight heparin (LMWH) can improve the outcome in women with a history of miscarriage or early delivery as a result of placental dysfunction (Bramham et al., 2010). To manage all these situations, biomarkers of disease development and the effects of therapy are needed. The erythrocyte sedimentation rate (ESR) is not a reliable biomarker for estimating lupus activity in pregnancy because it also increases significantly in normal pregnancies (Clowse, 2007). In contrast, C-reactive protein (CRP) does not increase in all pregnancies and might be a more reliable biomarker in estimating inflammation in lupus pregnancy (Clowse et al., 2013). Recent studies on micro-RNAs (miRs) and genetic and cluster of differentiation (CD) markers have indicated the potential of these tools to detect different aspects of lupus and monitor lupus activity, especially in lupus pregnancy.

In this review, we discuss several biomarkers that may have an impact on pregnancies occurring in women with lupus as well as genetic and classic biomarkers that are used in lupus management.

The challenge of classic biomarkers

Complement

There is no clear profile for complement level, mainly C3 and C4, in lupus pregnancy because in inflammatory level, these criteria decrease and can be prognostic biomarker for pregnancy lose in women with higher lupus activity, however increase in complement levels reflect the level of hepatic protein synthesis in hepatocytes (Pickering and Walport, 2000; Ho et al., 2001). Recent data suggest that lupus anticoagulant is the best predictor of pregnancy loss in the first trimester and that decreased levels of complement proteins is another informative biomarker for pregnancy loss (Mankee et al., 2015). In the second trimester of pregnancy, low complement has been associated with the rates of pregnancy loss and preterm birth (Clowse et al., 2011). The complement activity test (Ch50) and detection of antibody to double-stranded DNA (dsDNA) are two valuable tests in predicting lupus pregnancy outcome (Shimada et al., 2017). Lupus patients generally have low levels of C3 and C4, which could be a diagnostic criterion of lupus. However, in pregnancy, the levels of C3 and C4 are increased as a result of the influence of estrogen on the liver. Thus, normal levels of C3 and C4 do not exclude disease activity in lupus pregnancy (Keisa et al., 2016).

APLs

APLs are present in 25% to 50% of lupus patients. The antibodies lead to thrombotic and obstetric complications in some lupus pregnancies and increase the risk of abortion, especially in women in the active phase of lupus (Ünlü et al., 2016; Lateef and Petri, 2017). Three notable APLs are lupus anticoagulant (LAC), anti-cardiolipin (a-CL), and anti-Beta2 glycoprotein (ab2GPI); they should be considered in evaluating lupus activity in pregnancy in order to predict the pregnancy outcome (Lazzaroni et al., 2017). However, a recent study suggested that LAC, but not aCL and ab2GPI, is an indicator for the poor outcome of pregnancy (Yelnik et al., 2016). APL is also a good biomarker in estimating therapeutic response to LMWH and low dose aspirin (LDA) during pregnancy, and the patient may show a more severe type of the disease (Lazzaroni et al., 2016). LAC may be associated with the risk of thrombosis recurrence in lupus pregnancy, and hence it is an important biomarker in pregnancy management of lupus patients (Medina et al., 2015). Several studies suggested an association of APL HELLP syndrome, although other pregnancy complications are not associated with APL (Blomjous et al., 2017).

Anti-dsDNA antibody

Anti-dsDNA antibody is a sensitive biomarker for predicting lupus and lupus activity, especially in renal problems (Linnik et al., 2005). Anti-dsDNA antibody isotypes (IgG/IgM ratio of anti-dsDNA antibodies) are associated with disease activity such as nephritis, and they can be used as prognostic biomarkers (Förger et al., 2004). The antibodies are an indicator of increased pro-atherothrombotic activity in lupus patients (Perez-Sanchez et al., 2017). Autoantibodies against major vault protein and anti-dsDNA antibodies are strong biomarkers in evaluating lupus activity (Budde et al., 2017). In anti-dsDNA antibody-negative patients, evaluation of anti-Smith (anti-Sm) antibody) is a valuable biomarker for lupus (Flechsig et al., 2017). An increase in anti-dsDNA level exceeding 20% is an alerting biomarker in lupus (de Leeuw et al., 2017). Anti-dsDNA IgG antibody downregulates miR-10a expression in human mesenchymal cells, similar to what occurs in inflammation (Tangtanatakul et al., 2017).

Anti-SSA/SSB/U1RNA antibodies

Neonatal lupus is a rare autoimmune disease that appears as a result of maternal immunoglobulin G in the fetus. RO/SSA and La/SSB are the two main antibodies in neonatal lupus (Heelan et al., 2013). Maternal anti-SSA/Ro antibody can cross the placenta and affect the fetus (Mendez et al., 2014). SSA/Ro and/or SSB/La ribonucleoprotein complex antibodies in lupus pregnancy can alert to heart blockage without structural changes; neonatal lupus has also been reported with anti-U1RNP antibody that may also be associated to heart blockage (Izmirly et al., 2017). Neonatal lupus syndrome occurs in babies born from mothers with rheumatic systemic lupus erythematosus, Sjögren’s disease, immune-mediated thrombocytopenia, thyroiditis, and undifferentiated autoimmune syndromes (Nasef et al., 2014). Generally, the fetuses of pregnant women who develop these antibodies are at increased risk of congenital heart block as well as hematologic and hepatic abnormalities (Boh, 2004).

The challenge to recent biomarkers

miRs

The expression pattern of miRs differs in various diseases. Contemporary studies have demonstrated the potential of miRs as diagnostic and prognostic biomarkers in various diseases. For example, miR-126 is higher in the blood of lupus patients and miRs may be associated with the pathogenesis of lupus (Wang et al., 2012b). Recent data indicated that miR-146a and miR-155 play different roles in immune response (Testa et al., 2017). Several miRs can affect DNA hydroxymethylation; they may potently hypomethylate DNA in lupus ad decrease lupus development (Zhang et al., 2013). Several miRs associated with lupus and lupus activities are summarized in Table 1.

Cluster of differentiation (CD) markers

CD markers are used to identify, count, study, purify, destroy, or participate in some other way with, leukocytes (Zola and Swart, 2016). CD markers constitute a classification system for monoclonal antibodies against surface molecules of leukocytes and other cells. CD3+ , CD34+ , Bcl-2+ , and CD20+ are significantly higher in lupus patients (Ramezani et al., 2017). CD40/CD40L markers play important roles in T cell/B cell functional interactions, such as T cell-dependent humoral immune response and T cell activation of antigen presenting cells, are elevated in nephritic damage, and predict thrombotic events (Chamberlain et al.,2017; Kim et al., 2017). CD27 is a receptor present on most T cells. This marker is also increased in lupus patient serum and is related to disease activity, as its’ elevation is the first reflection of T cell activation (Font et al., 1996). Recent studies on the CD70 B cell costimulatory ligand reported that hypomethylation and overexpression of CD70 on T cells elevates B cell costimulation and induces immunoglobulin overproduction (Ray et al., 2016). This epigenic change of CD70 may be associated with lupus severity (Ray et al., 2016). It also reflects disease activity in lupus patients (Balada et al., 2014). Recent evidence revealed that therapy targeting CD11a can be a useful lupus treatment method that acts by downregulating CD11a expression by the histone demethylase, JMJD3 (Yin and Lu, 2014).

Inflammatory cytokines

Interferon, tumor necrosis factor-alpha (TNF-a), and specific inflammatory interleukin (IL) such as IL-6 are elevated in lupus due to the activation of Toll-like receptors in response to clumping of apoptotic bodies (Lyn-Cook et al., 2014). IL-17A and IL-17A/IL-17F are notable biomarkers in lupus because they reflect T helper17 (Th17) flare-up in blood circulation (Brkic et al., 2014). A study in a Caucasian population suggested that IL-12p70 is associated with renal damage in lupus patients (McCarthy et al., 2014). IL-6 is another notable inflammatory biomarker; the serum level of IL-6 is increased in flare-up of arthritis in lupus patients (Ball et al., 2014). The levels of IL-12 and IL-10 are higher in lupus patients, while that of IL-4 is decreased (Guimarães et al., 2017). We suggest that a profile of cytokines can help clarify lupus activity during pregnancy. Further studies focused on the influence of inflammatory cytokines on pregnancy are needed.

Genetic and epigenetic influences

Genetics and epigenetics play important roles in many aspects of lupus. Recent data indicate that the profile of DNA methylation changes or histone modifications can be helpful in estimating disease activity. Change in cytokine-mediated methylation of genes such as INF can be a diagnostic biomarker (Wang et al., 2017). Other changes that include PTPN22 polymorphisms such as rs1217414 and rs3811021 have been associated with decreased risk of lupus in a Chinese population, although polymorphisms such as rs3765598 increase the risk of lupus among these individuals (La Paglia et al., 2017). Genetic-epigenetic studies suggest that the genetic risk and T cell DNA demethylation are correlated with disease severity and flare-up, and also suggest that gender affects lupus flare-up, with males being at a higher risk (Sawalha et al., 2012). Another study revealed that factor V Leiden and mutation of the prothrombin gene can be responsible for thrombotic events in APL negative patients (Palatinus and Adams, 2009). TNFSF7 gene expression induces the synthesis of auto-reactive antibodies in lupus (Araki and Mimura, 2017). FcR polymorphisms also play a role in autoimmune disease pathogenesis (Kaifu and Nakamura, 2017). The collective results indicate the value of genetic analysis in case lupus and in the management of lupus pregnancy at different stages. We categorize the involved genes and relevant polymorphisms in Table 2.

Conclusions and future perspectives

Pregnancy is a challenging situation that becomes more complicated if the pregnant woman also has lupus. Hormonal changes due to pregnancy can lead to disease flare-up. Disease activity is a challenging subject in lupus pregnancy. Selecting the right biomarkers to predict different situations of lupus is important in lupus management. Tests for Ch50, APL, anti-dsDNA antibody, and anti-SSA/SSB/U1RNA antibodies are essential in estimating disease activity. Sensitivity of anti-dsDNA antibody testing has been proven and the value of this test is clear in lupus diagnosis and evaluating lupus activity. In case of neonatal lupus, especially when a heart defect is suspected, checking for anti-U1RNP and SSA/Ro and/or SSB/La ribonucleoprotein complex antibodies are informative in determining whether a fetus has a heart defect.

Recent genetic and miR findings can expand our vision of lupus and lupus activity, and will be beneficial in the prognosis and prediction of future events in lupus pregnancy. Urinary levels of miR-155 and miR-146a can be informative biomarkers in estimating disease activity. miR-223-3p has been associated with LAC, and miR-451 is an informative biomarker in glomerular damages. TWEAK, BAFF, and APOL1 genes and their polymorphisms are informative in estimating disease activity, especially in cases of renal effects, and they are important in monitoring and increasing the care for high-risk pregnant women.

More genome-wide studies are needed in different populations to highlight alerting polymorphisms among them. Studies on PLEKHF2 and ANKRD44 polymorphisms in various populations are important because these genes encode INF-a production and are associated with primary pathogenesis. Hence, using multiple biomarkers, especially genetic markers and miRs, work strongly beside other sensitive biomarkers in lupus management during sensitive period of pregnancy and expand our choice in test ordering. However, there are lots of valuable biomarkers which reflect a plenty of information about body situation in lupus pregnant patient, the choice is yours. Find out what you are looking to know in patient situation and then go ahead.

References

[1]

Araki Y,Mimura T (2017). The histone modification code in the pathogenesis of autoimmune diseases. Mediators Inflamm, 2017:2608605

[2]

Badawi A I, El-Hamid A M A, Mohamed N K, Darwish E M M, Wassef M, Elfirgani H (2017). Serum tumor necrosis factor (TNF)-like weak inducer of apoptosis (TWEAK) and leptin as biomarkers of accelerated atherosclerosis in patients with systemic lupus erythematosus and antiphospholipid syndrome. Egyptian Rheumatologist, 39(2): 75–81

[3]

Balada E, Castro-Marrero J, Felip L, Ordi-Ros J, Vilardell-Tarrés M (2014). Clinical and serological findings associated with the expression of ITGAL, PRF1, and CD70 in systemic lupus erythematosus. Clin Exp Rheumatol, 32(1): 113–116

[4]

Ball E M, Gibson D S, Bell A L, Rooney M R (2014). Plasma IL-6 levels correlate with clinical and ultrasound measures of arthritis in patients with systemic lupus erythematosus. Lupus, 23(1): 46–56

[5]

Blomjous B, Abheiden C, Kroese S, van Laar J, Derksen R, Bultink I, Voskuyl A, Lely A , de Boer M, de Vries J, Fritsch-Stork R(2017). OP0310 Pregnancy outcome in women with systemic lupus erythematosus, a multicenter cohort-study. Ann Rheum Dis, 76:184

[6]

Boh E E (2004). Neonatal lupus erythematosus. Clin Dermatol, 22(2): 125–128

[7]

Bramham K, Hunt B J, Germain S, Calatayud I, Khamashta M, Bewley S, Nelson-Piercy C (2010). Pregnancy outcome in different clinical phenotypes of antiphospholipid syndrome. Lupus, 19(1): 58–64

[8]

Brkic Z, Corneth O B, van Helden-Meeuwsen C G, Dolhain R J, Maria N I, Paulissen S M, Davelaar N, van Hamburg J P, van Daele P L, Dalm V A, van Hagen P M, Hazes J M, Versnel M A, Lubberts E (2014). T-helper 17 cell cytokines and interferon type I: partners in crime in systemic lupus erythematosus? Arthritis Res Ther, 16(2): R62

[9]

Budde P, Zucht H D, Schulte-Pelkum J, Wirtz D, Rengers P, Vordenbäumen S, Schneider M, Schulz-Knappe P (2017). 267 Novel autoantibodies against the interferon-responsive major vault protein (mvp) in systemic lupus erythmatosus. Lupus Sci Med, 4: doi: 10.1136/lupus-2017-000215.267

[10]

Chakravarty E F, Colón I, Langen E S, Nix D A, El-Sayed Y Y, Genovese M C, Druzin M L (2005). Factors that predict prematurity and preeclampsia in pregnancies that are complicated by systemic lupus erythematosus. Am J Obstet Gynecol, 192(6): 1897–1904

[11]

Chakravarty E F, Nelson L, Krishnan E (2006). Obstetric hospitalizations in the United States for women with systemic lupus erythematosus and rheumatoid arthritis. Arthritis Rheum, 54(3): 899–907

[12]

Chamberlain C, Colman P J, Ranger A M, Burkly L C, Johnston G I, Otoul C, Stach C,Zamacona M, Dörner T, Urowitz M, Hiepe F (2017). Repeated administration of dapirolizumab pegol in a randomised phase I study is well tolerated and accompanied by improvements in several composite measures of systemic lupus erythematosus disease activity and changes in whole blood transcriptomic profiles. Ann Rheum Dis, 76(11):1837–1844

[13]

Clowse M E (2007). Lupus activity in pregnancy. Rheum Dis Clin North Am, 33(2): 237–252, v

[14]

Clowse M E, Wallace D J, Weisman M, James A, Criscione-Schreiber L G, Pisetsky D S (2013). Predictors of preterm birth in patients with mild systemic lupus erythematosus. Ann Rheum Dis, 72(9):1536-1539

[15]

Clowse M E, Magder L S, Petri M (2011). The clinical utility of measuring complement and anti-dsDNA antibodies during pregnancy in patients with systemic lupus erythematosus. J Rheumatol, 38(6):1012–1016

[16]

Costa Reis A P, Russo P, Gallucci S, Sullivan K E (2014). A150: Control of Cell Proliferation in Lupus Nephritis: The Role of miRNAs and HER2. Arthritis Rheumatol, 66(S3): S194

[17]

de Leeuw K, Bungener L, Roozendaal C, Bootsma H, Stegeman C A(2017). Comment on: Auto-antibodies to double-stranded DNA as biomarker in SLE: comparison of different assays during quiescent and active disease. Rheumatology, 56(11): 2039–2040

[18]

Flechsig A, Rose T, Barkhudarova F, Strauss R, Klotsche J, Dähnrich C, Schlumberger W, Enghard P, Burmester G R, Hiepe F, Biesen R (2017). What is the clinical significance of anti-Sm antibodies in systemic lupus erythematosus? A comparison with anti-dsDNA antibodies and C3. Clin Exp Rheumatol, 35(4): 598–606

[19]

Font J, Pallares L, Martorell J, Martinez E, Gaya A, Vives J, Ingelmo M (1996). Elevated soluble CD27 levels in serum of patients with systemic lupus erythematosus. Clin Immunol Immunopathol, 81(3): 239–243

[20]

Förger F, Matthias T, Oppermann M, Becker H, Helmke K (2004). Clinical significance of anti-dsDNA antibody isotypes: IgG/IgM ratio of anti-dsDNA antibodies as a prognostic marker for lupus nephritis. Lupus, 13(1): 36–44

[21]

Freedman B I, Langefeld C D, Andringa K K, Croker J A, Williams A H, Garner N E, Birmingham D J, Hebert L A, Hicks P J, Segal M S, Edberg J C, Brown E E, Alarcón G S, Costenbader K H, Comeau M E, Criswell L A, Harley J B, James J A, Kamen D L, Lim S S, Merrill J T, Sivils K L, Niewold T B, Patel N M, Petri M, Ramsey-Goldman R, Reveille J D, Salmon J E, Tsao B P, Gibson K L, Byers J R, Vinnikova A K, Lea J P, Julian B A, Kimberly R P, and the Lupus Nephritis–End‐Stage Renal Disease Consortium (2014). End-stage renal disease in African Americans with lupus nephritis is associated with APOL1. Arthritis Rheumatol, 66(2): 390–396

[22]

Guimarães P M, Macedo Guimarães P, Miglioranza Acavuzzi B, Frizon Alfieri D, Perugini Stadtlober N, Batisti Lozovoy M A, Vissoci Reiche E M, Kaminami Morimoto H, Delicato de Almeida E R, Mayumi Veiga Iriyoda T, Tomimura Costa N, Dichi I, Maes M (2017). 459 Systemic lupus erythematosus and severity of illness are associated with t helper 1 and 17 cytokines profiles together with a lowered il-4 production. Lupus Sci Med, 4:

[23]

Guo S, Ge S, Ku M, Shang W, Zeng R, Han M, Xu G, Rong S (2016). Clinical correlation of plasma miR-21, miR-126 and miR-148a in patients with lupus nephritis. Int J Clin Exp Med, 9(2): 2905–U7186

[24]

Heelan K, Watson R, Collins S M (2013). Neonatal lupus syndrome associated with ribonucleoprotein antibodies. Pediatr Dermatol, 30(4): 416–423

[25]

Ho A, Barr S G, Magder L S, Petri M (2001). A decrease in complement is associated with increased renal and hematologic activity in patients with systemic lupus erythematosus. Arthritis Rheum, 44(10): 2350–2357

[26]

Huang Q, Chen S S, Li J, Tao S S, Wang M, Leng R X, Pan H F, Ye D Q (2017). miR-210 expression in PBMCs from patients with systemic lupus erythematosus and rheumatoid arthritis. Ir J Med Sci,

[27]

Izmirly P M, Halushka M K, Rosenberg A Z, Whelton S, Rais-Bahrami K, Nath D S, Parton H, Clancy R M, Rasmussen S, Saxena A, Buyon J P (2017). Clinical and pathologic implications of extending the spectrum of maternal autoantibodies reactive with ribonucleoproteins associated with cutaneous and now cardiac neonatal lupus from SSA/Ro and SSB/La to U1RNP. Autoimmun Rev, 16(9): 980–983

[28]

Kaifu T, Nakamura A (2017). Polymorphisms of immunoglobulin receptors and the effects on clinical outcome in cancer immunotherapy and other immune diseases: a general review. Int Immunol, 29(7): 319–325

[29]

Kang S, Fedoriw Y, Brenneman E K, Truong Y K, Kikly K, Vilen B J (2017). BAFF Induces Tertiary Lymphoid Structures and Positions T Cells within the Glomeruli during Lupus Nephritis. J Immunol, 198(7): 2602–2611

[30]

Kariuki S N, Ghodke-Puranik Y, Dorschner J M, Chrabot B S, Kelly J A, Tsao B P, Kimberly R P, Alarcón-Riquelme M E, Jacob C O, Criswell L A, Sivils K L, Langefeld C D, Harley J B, Skol A D, Niewold T B (2015). Genetic analysis of the pathogenic molecular sub-phenotype interferon-alpha identifies multiple novel loci involved in systemic lupus erythematosus. Genes Immun, 16(1): 15–23

[31]

Keisa L, Boka O, Vitina S, Rezeberga D (2016). New onset of systemic lupus erythematosus during pregnancy. Int J Reprod Contracept Obstet Gynecol, 5(4): 1221–1224

[32]

Kim B S, Jung J Y, Jeon J Y, Kim H A, Suh C H (2016a). Circulating hsa-miR-30e-5p, hsa-miR-92a-3p, and hsa-miR-223-3p may be novel biomarkers in systemic lupus erythematosus. HLA, 88(4): 187–193

[33]

Kim K J, Baek I W, Yoon C H, Kim W U, Cho C S (2017). Elevated levels of soluble CD40 ligand are associated with antiphospholipid antibodies in patients with systemic lupus erythematosus. Clin Exp Rheumatol, 35(5): 823–830

[34]

Kim M Y, Buyon J P, Guerra M M, Rana S, Zhang D, Laskin C A, Petri M, Lockshin M D, Sammaritano L R,Branch D W, Porter T F, Merrill J T, Stephenson M D, Gao Q, Karumanchi S A, Salmon J E(2016b). Angiogenic factor imbalance early in pregnancy predicts adverse outcomes in patients with lupus and antiphospholipid antibodies: results of the PROMISSE study. Am J Obstet Gynecol, 214(1):108.e1–108.e14

[35]

La Paglia G M C, Leone M C, Lepri G, Vagelli R, Valentini E, Alunno A, Tani C (2017). One year in review 2017: systemic lupus erythematosus. Clin Exp Rheumatol, 35(4): 551–561

[36]

Lateef A, Petri M (2013). Managing lupus patients during pregnancy. Best Pract Res Clin Rheumatol, 27(3): 435–447

[37]

Lateef A, Petri M (2017). Systemic Lupus Erythematosus and Pregnancy. Rheum Dis Clin North Am, 43(2): 215–226

[38]

Lazzaroni M, Andreoli L, Lupoli F, Aggogeri E, Bettiga E , Zatti S, Lojacono A, Ramazzotto F, Fredi M,Tincani A(2016). THU0300 Risk Factors for Adverse Pregnancy Outcome in First-Line Treated Pregnancies in Antiphospholipid Antibodies-Positive Women According To Different Treatment Strategies: Results from Our 30 Years’ Experience Pregnancy Clinic. Ann Rheum Dis, 75:295

[39]

Lazzaroni M, Andreoli L, Chighizola C B, Ross T D, M Gerosa (2017). OP0046 Risk factors for adverse pregnancy outcome in antiphospholipid antibodies carriers: results from a multicenter italian cohort over 20 years of experience. European Congress of Rheumatology, 70:1–70

[40]

Le Thi Thuong D, Tieulié N, Costedoat N, Andreu M R, Wechsler B, Vauthier-Brouzes D, Aumaître O, Piette J C (2005). The HELLP syndrome in the antiphospholipid syndrome: retrospective study of 16 cases in 15 women. Ann Rheum Dis, 64(2): 273–278

[41]

Linnik M D, Hu J Z, Heilbrunn K R, Strand V, Hurley F L, Joh T, and the LJP 394 Investigator Consortium (2005). Relationship between anti-double-stranded DNA antibodies and exacerbation of renal disease in patients with systemic lupus erythematosus. Arthritis Rheum, 52(4): 1129–1137

[42]

Liu E, Zhou Y, Liu Z, Wang L, Zhang Y, Han B, Ma H, Li S (2016). MicroRNA-185 contributes to DNA hypomethylation of CD4+ T cells in pregnant patients with systemic lupus erythematosus by targeting DNA methyltransferase 1. Int J Clin Exp Pathol, 9(8): 8181–8189

[43]

Liu Y, Xu M, Min X, Wu K, Zhang T, Li K, Xiao S, Xia Y (2017). TWEAK/Fn14 Activation Participates in Ro52-Mediated Photosensitization in Cutaneous Lupus Erythematosus. Front Immunol, 8: 651

[44]

Lu J, Kwan B C, Lai F M, Tam L S, Li E K, Chow K M, Wang G, Li P K, Szeto C C (2012). Glomerular and tubulointerstitial miR-638, miR-198 and miR-146a expression in lupus nephritis. Nephrology (Carlton), 17(4): 346–351

[45]

Lyn-Cook B D, Xie C, Oates J, Treadwell E, Word B, Hammons G, Wiley K (2014). Increased expression of Toll-like receptors (TLRs) 7 and 9 and other cytokines in systemic lupus erythematosus (SLE) patients: ethnic differences and potential new targets for therapeutic drugs. Mol Immunol, 61(1): 38–43

[46]

Mackay F (2017). 345 Deletion of the baff receptor taci fully protects against sle without reduction of b cell numbers and function. Lupus Sci Med, 4: doi:10.1136/lupus-2017-000215.345

[47]

Mankee A, Petri M, Magder L S (2015). Lupus anticoagulant, disease activity and low complement in the first trimester are predictive of pregnancy loss. Lupus Sci Med, 2(1): e000095

[48]

Massenkeil G, Alexander T, Rosen O, Dörken B, Burmester G, Radbruch A, Hiepe F, Arnold R (2016). Long-term follow-up of fertility and pregnancy in autoimmune diseases after autologous haematopoietic stem cell transplantation. Rheumatol Int, 36(11): 1563–1568

[49]

McCarthy E M, Smith S, Lee R Z, Cunnane G, Doran M F, Donnelly S, Howard D, O’Connell P, Kearns G, Ní Gabhann J, Jefferies C A (2014). The association of cytokines with disease activity and damage scores in systemic lupus erythematosus patients. Rheumatology (Oxford), 53(9): 1586–1594

[50]

Medina G, Florez O I , Montiel Manzano G, Reyes Maldonado E , Cruz Domínguez P, Ortega L O, Saavedra M A, Salinas L J(2015). Jara6 AB0572 Antiphospholipid Antibodies Profile and Thrombosis Recurrence. Ann Rheum Dis, 74 (Suppl 2) :1091.2–1091

[51]

Mendez B, Saxena A, Buyon J P, Izmirly P M (2014). Neonatal lupus, In: Sammaritano L R, Bermas B L, eds. Contraception and Pregnancy in Patients with Rheumatic Disease. Berlin: Springer verlag. pp. 251–272

[52]

Molad Y, Borkowski T, Monselise A, Ben-Haroush A, Sulkes J, Hod M, Feldberg D, Bar J (2005). Maternal and fetal outcome of lupus

[53]

Moroni G, Ponticelli C (2016). Pregnancy in women with systemic lupus erythematosus (SLE). Eur J Intern Med, 32: 7–12

[54]

Nasef N, Hafez M, Bakr A (2014). Neonatal lupus erythematosus. J Neonatol Clin Pediatr, . 77(2): 82–86

[55]

Palatinus A, Adams M (2009).Thrombosis in systemic lupus erythematosus. Semin Thromb Hemost. 35(7): 621–629

[56]

Papp G, Chen J Q, Pόliska S, Szabό K, Tarr T, lint B L, Szodoray P, Zeher M(2017). AB0137 Alterations in microrna expression profiles in primary sjÖgren9s syndrome and systemic lupus erythematosus. Ann Rheum Dis,76:1094–1095

[57]

Pauley K M, Stewart C M, Gauna A E, Dupre L C, Kuklani R, Chan A L, Pauley B A, Reeves W H, Chan E K, Cha S (2011). Altered miR-146a expression in Sjögren’s syndrome and its functional role in innate immunity. Eur J Immunol, 41(7): 2029–2039

[58]

Perez-Sanchez C, Aguirre M A, Ruiz-Limon P, Abalos-Aguilera M C, Arias-de la Rosa I, Barbarroja N, Jimenez-Gomez Y, Segui P,Collantes-Estevez E, Gonzalez-Reyes J A, Villalba J M, Cuadrado M J, Lopez-Pedrera C(2017). AB0127 ANTI-DS-DNA antibodies regulate atherothrombosis in systemic lupus erythematosus through the induction of netosis, inflammation and endothelial activation., BMJ Publishing Group Ltd.

[59]

Perricone C, Ciccacci C, Ceccarelli F, Cipriano E, Alessandri C, Spinelli F R, Rufini S,Politi C,Latini A, Novelli G, Valesini G, Borgiani P , Conti F (2016). AB0004 polymorphisms in genes in the IL-17 pathway and B cell mediated immune response modulate the development of specific autoimmune manifestations in systemic lupus erythematosus. Ann Rheum Dis,75: 898

[60]

Pickering M C, Walport M J (2000). Links between complement abnormalities and systemic lupus erythematosus. Rheumatology (Oxford), 39(2): 133–141

[61]

Qian J, Nan ( S 2017). 307 The pathogenic mechanisms of systemic lupus erythematosus associated genes pnp, plekhf2 and ankrd44. Lupus Sci Med, 4: doi:10.1136/lupus-2017-000215.307

[62]

Ramezani M, Hashemi B S, Khazaei S, Rezaei M, Ebrahimi A, Sadeghi M (2017). Diagnostic value of immunohistochemistry staining of Bcl-2, CD34, CD20 and CD3 for distinction between discoid lupus erythematosus and lichen planus in the skin. Indian J Pathol Microbiol, 60(2): 172–176

[63]

Ray D, Hailow S, Strickland F, Orlowski R, Marder W, McCune W J, Somer E C, (2016). CD70 methylation of a regulatory region increases with age in lupus patients., J Immnol, 196(Suppl.): 1876

[64]

Reis P C, Maurer K, Schanberg L, Burnham J M , von Scheven E, O'Neil K, Klein Gitelman M ,Petri M ,Sullivan K E(2017). THU0490 Multicentre study of lupus nephritis urinary biomarkers in adult and paediatric patients. Ann Rheum Dis, 76: 391–392

[65]

Sammaritano L R (2017). Management of systemic lupus erythematosus during pregnancy. Annu Rev Med, 68(1): 271–285

[66]

Sawalha A H, Wang L, Nadig A, Somers E C, McCune W J, Hughes T, Merrill J T, Scofield R H, Strickland F M, Richardson B, and the Michigan Lupus Cohort (2012). Sex-specific differences in the relationship between genetic susceptibility, T cell DNA demethylation and lupus flare severity. J Autoimmun, 38(2-3): J216–J222

[67]

Shimada H, Kanenishi K, Kameda T, Izumikawa M, Nakashima S, Ozaki H, Wakiya R, Kondo A ,Kadowaki N,H Dobashi(2017). FRI0704 Analysis of risk factor for pregnancy outcomes in 142 pregnancies complicated with connective tissue disease. Ann Rheum Dis, 76:757

[68]

Sitrin J, Suto E, Wuster A, Eastham-Anderson J, Kim J M, Austin C D, Lee W P, Behrens T W (2017). The Ox40/Ox40 Ligand Pathway Promotes Pathogenic Th Cell Responses, Plasmablast Accumulation, and Lupus Nephritis in NZB/W F1 Mice. J Immunol, 199(4): 1238–1249

[69]

Steri M, Orrù V, Idda M L, Pitzalis M, Pala M, Zara I, Sidore C, Faà V, Floris M, Deiana M, Asunis I, Porcu E, Mulas A, Piras M G, Lobina M, Lai S, Marongiu M, Serra V, Marongiu M, Sole G, Busonero F, Maschio A, Cusano R, Cuccuru G, Deidda F, Poddie F, Farina G, Dei M, Virdis F, Olla S, Satta M A, Pani M, Delitala A, Cocco E, Frau J, Coghe G, Lorefice L, Fenu G, Ferrigno P, Ban M, Barizzone N, Leone M, Guerini F R, Piga M, Firinu D, Kockum I, Lima Bomfim I, Olsson T, Alfredsson L, Suarez A, Carreira P E, Castillo-Palma M J, Marcus J H, Congia M, Angius A, Melis M, Gonzalez A, Alarcón Riquelme M E, da Silva B M, Marchini M, Danieli M G, Del Giacco S, Mathieu A, Pani A, Montgomery S B, Rosati G, Hillert J, Sawcer S, D’Alfonso S, Todd J A, Novembre J, Abecasis G R, Whalen M B, Marrosu M G, Meloni A, Sanna S, Gorospe M, Schlessinger D, Fiorillo E, Zoledziewska M, Cucca F (2017). Overexpression of the cytokine BAFF and autoimmunity risk. N Engl J Med, 376(17): 1615–1626

[70]

Sun Y, Peng R, Peng H, Liu H, Wen L, Wu T, Yi H, Li A, Zhang Z (2016). miR-451 suppresses the NF-kappaB-mediated proinflammatory molecules expression through inhibiting LMP7 in diabetic nephropathy. Mol Cell Endocrinol, 433: 75–86

[71]

Tangtanatakul P, Thammasate B, Jacquet A, Reantragoon R, Pisitkun T,Avihingsanon Y, Leelahavanichkul A, Hirankarn N (2017). 322 Down-regulation of mir-10a induces il-8 in human mesangial cells stimulated with anti-dsdna igg antibodies. Lupus Sci Med, 4: doi:10.1136/lupus-2017-000215.322

[72]

Teh C L, Wan S A, Cheong Y K, Ling G R (2016). Systemic lupus erythematosus pregnancies: ten-year data from a single centre in Malaysia. Lupus, 26(2): 218–223

[73]

Testa U, Pelosi E, Castelli G, Labbaye C (2017). miR-146 and miR-155: Two Key Modulators of Immune Response and Tumor Development. Non-Coding RNA, 3(3): 22

[74]

Ünlü O, Zuily S, Erkan D ( 2016 ). The clinical significance of antiphospholipid antibodies in systemic lupus erythematosus. Euro J Rheum, 3(2): 75

[75]

Vinet É, Pineau C A, Clarke A E, Fombonne É, Platt R W, Bernatsky S (2014). Neurodevelopmental disorders in children born to mothers with systemic lupus erythematosus. Lupus, 23(11): 1099–1104

[76]

Wang G, Tam L S, Kwan B C, Li E K, Chow K M, Luk C C, Li P K, Szeto C C (2012a). Expression of miR-146a and miR-155 in the urinary sediment of systemic lupus erythematosus. Clin Rheumatol, 31(3): 435–440

[77]

Wang G, Tam L S, Li E K, Kwan B C, Chow K M, Luk C C, Li P K, Szeto C C (2010). Serum and urinary cell-free MiR-146a and MiR-155 in patients with systemic lupus erythematosus. J Rheumatol, 37(12): 2516–2522

[78]

Wang H, Peng W, Ouyang X, Li W, Dai Y (2012b). Circulating microRNAs as candidate biomarkers in patients with systemic lupus erythematosus. Transl Res, 160(3): 198–206

[79]

Wang Z, Chang C, Peng M, Lu Q (2017). Translating epigenetics into clinic: focus on lupus. Clin Epigenetics, 9(1): 78

[80]

Yelnik C M, Laskin C A, Porter T F, Branch D W, Buyon J P, Guerra M M, Lockshin M D, Petri M, Merrill J T, Sammaritano L R, Kim M Y, Salmon J E (2016). Lupus anticoagulant is the main predictor of adverse pregnancy outcomes in aPL-positive patients: validation of PROMISSE study results. Lupus Sci Med, 3(1): e000131

[81]

Yin H, Lu Q (2014). Histone Demethylase Jmjd3 Regulates Cd11a Expression In Lupus T Cells By Changing Histone H3k27 Tri-methylation Level. J Dermatol, 41: 29

[82]

Zeng J, Wu H, Zhao M, Q Lu(2017). Novel biomarkers for systemic lupus erythematosus. Biomark Med,

[83]

Zhang Y, Zhao M, Sawalha A H, Richardson B, Lu Q (2013). Impaired DNA methylation and its mechanisms in CD4(+)T cells of systemic lupus erythematosus. J Autoimmun, 41: 92–99

[84]

Zola H, Swart B ( 2016). CD Markers. Encyclopedia of Immunotoxicology, 146–150

RIGHTS & PERMISSIONS

Higher Education Press and Springer-Verlag GmbH Germany, part of Springer Nature

AI Summary AI Mindmap
PDF (146KB)

819

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/