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Egyptian Rheumatology and Rehabilitation
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Evaluation of serum14-3-3η protein and Sema3A levels in rheumatoid arthritis: diagnostic and prognostic value

Egyptian Rheumatology and Rehabilitation volume 47, Article number: 43 (2020) Cite this article

Abstract

Background

Serum14-3-3η protein plays an important role in the pathogenesis of rheumatoid arthritis (RA) as it is a joint-derived proinflammatory mediator. Semaphorin3A (Sema3A) plays an immune regulatory and bone remodeling role in many autoimmune diseases. Their role in rheumatoid arthritis needs to be evaluated for diagnostic and prognostic prospective values.

Results

The serum level of protein 14-3-3n was significantly higher in patients with RA than those in healthy controls. Serum 14-3-3η has a significant positive correlation with RF and ACPA, but not with either DAS28, ESR, or CRP. Serum 14-3-3η levels were significantly correlated with radiographically assessed joint damage. Serum Sema3A levels were decreased in rheumatoid arthritis patients compared to controls. There were also negative correlations with disease duration and activity score (DAS28), ESR, CRP, and RF.

Conclusion

The discriminative ability of 14-3-3η was comparable to RF and ACPA enhancing its diagnostic capacity. Sema 3A might serve as a predictive marker for radiographic severity and could have a potential therapeutic role in RA.

Background

Rheumatoid arthritis (RA) is chronic autoimmune disease with a huge diversity in clinical picture, progression, and treatment response [1].

RA still constitutes an important cause of morbidity and mortality despite the great progression in treatment options [2].

The presence of autoantibodies to immunoglobulin G (rheumatoid factor—RF) and citrullinated proteins (anti-citrullinated protein antibodies—ACPAs) are characteristic to RA. However, they are absent in the sera of some patients [3].

An erosive joint damage can be detected in about 20% of early RA patients within 2 years and is also observed even in patients with clinical remission [4]. The progression of joint damage is one of the most significant causes of morbidity in RA [5].

There is a great need for more diagnostic and prognostic markers that can diagnose the disease early and reflect the prognosis of the disease especially its erosive nature [6].

The 14-3-3 family of intracellular chaperone proteins consists of seven isoforms: alpha/beta (α/β), epsilon (ε), gamma (γ), eta (η), tau (τ), zeta (ζ), and sigma (σ) [7]. These proteins interact with more than 200 intracellular proteins to play a role in protein synthesis, cell cycle regulation, control of metabolism, protein trafficking, apoptosis, control of gene transcription, and cytoskeletal transport [8]. Serum 14-3-3η level increases in patients with arthritis as it can induce proinflammatory cytokines, like interleukin 1β (IL-1β), tumor necrosis factor-α (TNF-α), and IL-6, and other factors leading to a joint degradation including matrix metalloproteinase 9 and receptor activator of nuclear factor-κB ligand (RANKL) [7, 9].

Semaphorins are a large family of proteins containing a Sema domain of ~500 amino acids and that function as regulatory signals for axonal/dendritic projections have been initially known as neural guidance molecules [10].

They are categorized into 7 classes, semaphorins 1 to 7 [11]. They are implicated in different biological activities like angiogenesis, immune cell responses, and regulation of tumor microenvironment. Sema3A is a member of this family which contributes in the development and regulation of nervous system [12].

It has been involved in immune responses, organogenesis, angiogenesis, and oncogenesis [13]. Sema3A applies its osteoprotective role by inhibition osteoclast differentiation and stimulating osteoblastic bone formation at the same time synchronously [14].

Our objective is to study the role of these two new markers in rheumatoid arthritis.

Methods

This case-control study included 45 RA patients (group I) fulfilling the 2010 American College of Rheumatology/European League against Rheumatism classification criteria for RA [15].

They were recruited from the outpatient clinic of the Rheumatology Department from December 2018 to February 2020. The study also included 35 age- and sex-matched apparently healthy individuals as a control group (group II).

All patients were subjected to full medical history taking, complete clinical examination, evaluation of disease activity using Disease Activity Score 28 (DAS28), ESR, visual analog scale (range, 0–100), and simplified disease activity index (SDAI) [16, 17].

Inclusion criteria

  1. 1-

    RA patients with disease duration less than 5 years.

Exclusion criteria

  1. 1-

    RA patients with other co-morbidities or chronic disease as diabetes mellitus or hypertension.

  2. 2-

    Patients who have received biological treatment.

Laboratory investigations

The laboratory investigations included the following: complete blood count, ESR, rheumatoid factor (RF), and C-reactive protein (CRP). Detection of serum anticycliccitrullinated peptide (anti-CCP) antibodies, liver function tests, and kidney function tests.

Serum 14-3-3η levels were evaluated by the quantitative 14-3-3η enzyme-linked immunosorbent assay (ELISA; Augurex Life Sciences Corp, Vancouver Canada) according to the manufacturer’s protocol. Positivity for 14-3-3η was defined by the manufacturer at ≥ 0.19 ng/ml Measurement of serum Sema3A level by Human SEMA3A (Semaphorin 3A) ELISA Kit supplied by MyBioSource, San Diego, CA, USA; Catalog No: MBS2510626 with coefficient of variation is < 10% and detection range: 0.16–10 ng/ml.

Radiological investigations

The radiological studies included the following:

  1. (1)

    Plain X-ray scan on the hands and wrists (postero-anterior view) using the Modified Larsen Score (MLS) [18]

  2. (2)

    Musculoskeletal ultrasonograghy using (SAMSUNG MEDISON (UGEOH60) machine with linear array transducers (frequencies ranging between 9 and 12 MHz) by certified MSUS operator blinded to the study. The joints were examined according to the EULAR and JCR guidelines at the radiocarpal, metacarpo-phalangeal joints, and proximal interphalangeal joints to detect

    1. a.

      Synovial thickening, effusion

    2. b.

      Doppler flow by semiquantitative score [19].

Statistical analysis

Statistical presentation and analysis of the present study was conducted as continuous data and was expressed as mean ± standard deviation or median. Comparison of continuous data between two groups was made by using Student’s t test and Mann-Whitney tests, and for categorical variables, chi-square test was used. Spearman correlation between different parameters was used. Statistical significance was defined as a P value of < 0.05. The sensitivity, specificity, and accuracy were calculated by using receiver-operating characteristic analysis (ROC curve). Analyses were performed using SPSS program, version 17 (SPSS Inc., Chicago, IL, USA) and the GraphPad Prism software (GraphPad Prism Software Inc., San Diego, California, USA).

Result

The present study was conducted on 80 subjects. They were classified into two groups.

Group (I): rheumatoid arthritis patients (n = 45). Their ages ranged from 35 to 52 years with a mean age of 39.30 ± 6.81, mean disease duration of 41.6 ± 6.7 months, and mean DAS28 score of 8.5 ± 12.2. They were 37 females and 8 males.

Group (II): 35 healthy subjects age- and sex-matched served as a control group. Their ages ranged between 33 and 51 years with a mean age of 40.70 ± 4.0. They were 29 females and 6 males.

The clinical and laboratory data of studied groups were illustrated in Table 1.

Table 1 Comparison between the two studied groups according to different clinical and laboratory parameters
Full size table

Serum14-3-3η protein levels

The serum levels of 14-3-3η protein were significantly increased in RA patients compared to the control group (P < 0.001*).

There were positive significant correlations with SDAI (r = 0.485, P = 0.001*), synovitis (r = 0.665, P < 0.001*), erosions (r = 0.864, P < 0.001*), RF(r = 0.374, P = 0.011*), and ACPA (r = 0.474, P = 0.001). There were no correlations with ESR, CRP, or DAS28 score.

For diagnosis of RA, ROC curve showed that serum14-3-3η protein at a cutoff value of greater than 0.24 ng/ml had a sensitivity of 88.89%, a specificity of 91.43%, a positive predictive value of 93%, and a negative predictive value of 86%, and AUC was 0.957 (Tables 2, 3 , and 4; Fig. 1).

Table 2 Agreement (sensitivity, specificity) for different parameters to predict cases (vs control)
Full size table
Table 3 Correlation between the two markers and different parameters in patients group (n = 45)
Full size table
Fig. 1
figure 1

ROC curve for different parameters to predict cases (vs control). Receiver-operating characteristic curve (ROC) analysis showing that serum Sema3A at a cutoff value of lesser than or equal to 5.8 ng/ml has a sensitivity of 82.82%, a specificity of 80%. AUC (area under the curve) is 0.854

Full size image

Serum Sema3A level

The serum levels Sema3A levels were significantly decreased in RA patients compared to the control group (P < 0.001*).

There were negative correlations with duration of the disease (r = − 0.372, P = 0.012*), disease activity (DAS28 score) (r = − 0.703, P < 0.001*), and simplified disease activity index (SDAI) (r = − 0.581, P < 0.001*), synovitis (GSN) (r = 0.501, P < 0.001*), and erosions (r = 0.652, P < 0.001*). ESR (r = − 0.535, P < 0.001*), RF r = − 0.645, P < 0.001*), (CRP r = − 0.668, P < 0.001*), and ACPA (r = − 0.787, P < 0.001*).

For diagnosis of RA, ROC curve showed that serum Sema3A at a cutoff value of lesser than or equal to 5.8 ng/ml had a sensitivity of 82.82%, a specificity of 80%, a positive predictive value of 84.1%, and a negative predictive value of 77.8%, and AUC (area under the curve) was 0.854 (Tables 2, 3, and 4; Fig. 1).

Table 4 Relation between DAS 28 with 14-3-3n and Sema3A in patients’ group (n = 45)
Full size table

Discussion

The need of new diagnostic markers for RA is crucial in particular subsets of rheumatoid arthritis patients such as those having an undifferentiated form of arthritis or those who progressively develop severe erosive disease. In such cases, serum14-3-3η protein was suggested by some authors as a novel detected biomarker for RA that has a diagnostic and prognostic value and the need for studies confirming this potential diagnostic and prognostic role seemed urgent [7, 20,21,22,23,24].

As for serum 14-3-3η, we detected significant increased levels in our patients in comparison to controls with specificity value of 91.43% in comparison to 88.57% for ACCP, and also there were positive correlations with RF factor, ACPA. However, there were no correlations with DAS28, ESR, or CRP (Tables 1 and 2). In addition, there was a positive correlation between increased serum 14-3-3η levels and radiological changes (Table 3).

Our results strongly suggest the pathogenic and diagnostic role of serum 14-3-3η in RA and are in agreement with Van Beers-Tas et al. (2016) who found serum14-3-3η in the pre-clinical phase of arthritis and detected association between the positivity of this marker and ACPA- and/or RF-positive subjects with arthritis, compared with subjects with no arthritis. This can be explained by the ability of 14-3-3η protein to provoke inflammatory and degenerative factors [7, 20, 25].

Carrier et al. (2016) observed in their study the same increase in14-3-3η protein in serum and synovial fluid of RA patients. Also, the association of production of inflammatory mediators like tumor necrosis factor α (TNFα), osteoclast-activating factors, and interleukin 6 (IL-6) in the patients’ group [23]. Also, the persistent increase of 14-3-3η protein level despite treatment could point out to patients at high risk of joint damage. The association between increased CRP and 14-3-3η protein levels was considered by them as a bad prognostic indicator particularly in older individuals [23].

We found a positive correlation between increased serum 14-3-3η levels and radiological damage that were detected by both X-ray and musculoskeletal U/S (Tables 3 and 4). This can be due to14-3-3η protein which activates several proinflammatory signaling cascades involved in the pathogenesis of RA. It also stimulates matrix metalloproteinase which participate in the joint damage cascade [7, 10].

We demonstrated the relation between disease activity score DAS28 results, gray scale synovitis assessment, and Doppler flow signal to both serum 14-3-3η and Sema3A in (Table 4 and Fig. 2a–d).

Fig. 2
figure 2

Relation between the gray scale ultrasound scan and Doppler flow signal with Sema3A and 14-3-3η protein levels. a Longitudinal scan of the metacarpophalangeal joints showing synovitis grade 3 with Doppler signal grade1 (low-disease activity score). The 14-3-3η protein level showed an increase up to 0.49 ng/ml (controls 0.14 ng/ml) and Sema3A level showed mild decrease 5.1 ng/ml (controls 6.5 ng/ml). b Longitudinal scan of the radiocarpal and intercarpal joints showing synovitis grade 2 Doppler signal grade 1 (low-disease activity score). Serum 14-3-3ηprotein level is 0.46 ng/ml and Sema3A level is 4.1 ng/ml. c Longitudinal scan of the intercarpal joints showing erosion and grade 2 synovitis and grade 1 Doppler signal (low-disease activity score with erosions). The14-3-3η protein level is 0.5 ng/ml, and Sema3A level is 5.9 ng/ml. d Longitudinal scan of the wrist showing grade 3 synovitis and grade 2 Doppler signal with effusion (moderate disease activity score). The 14-3-3η protein level is 0.61 ng/ml, and Sema3A level is 3.5 ng/ml

Full size image

Maksymowych et al. (2014) reported the same increase in serum 14-3-3η level in both early and established rheumatoid which was explained by the stimulation of extracellular regulated kinase 1,2 that leads to more joint damage through the production of interleukin 1 (IL-1), IL-6, receptor activator of nuclear factor κB ligand, and matrix metalloproteinase 1 [7].

Maksymowych et al. found that 14-3-3η correlated significantly with rheumatoid factor (RF) and anticitrullinated protein antibodies (ACPA) in RA, but not with C-reactive protein (CRP) or the Disease Activity Score in 28 joints. The levels were higher in patients with more joint damage and can be used as a marker for radiographic progression and probably a new therapeutic target [7].

In this study, the discriminative ability of serum14-3-3η is comparable to RF and ACPA, enhancing its diagnostic capacity (Table 2).

This agreed with El-Sherif et al. (2019) who observed increase in serum14-3-3η protein levels inpatients who were seronegative for RF and ACPA which could enhance the sensitivity of RA diagnosis [26].

Guan et al. (2019) also found that the detection rate of RA patients can be improved using serum14-3-3η protein.

Zeng and Tan (2018) stated that the diagnostic capture of RA patients improved through combining serum14-3-3η protein with rheumatoid factor and anticycliccitrullinated peptide antibody [27].

Sema3A has a role in autoimmune diseases through regulating lymphocytic function and an osteoprotective effect by stimulation of phospholipase C PLCγ or suppression of RhoA signaling [28]. When its expression levels are distorted, it becomes responsible for abolishing the functions of regulatory T cells and allowing the infiltration and focal aggregation of autoreactive lymphocytes in the synovial membrane. Subsequently, Sema3A levels in RA patients can be of an important significance [11, 28,29,30].

In this study, serum Sema3A levels were decreased in rheumatoid arthritis patients compared to controls. Also, there were also negative correlations with duration of the disease and disease activity score (DAS28), ESR, CRP, and RF (Tables 3 and 4).

Our results are compatible with Teng et al. (2017) who found a significant negative correlation between serum Sema3A levels and RF, CRP, and DAS28 in addition to lower levels of serum Sema3A detected in RA patients compared to osteoarthritis controls [31].

Sema3A also decreases the expression of many inflammatory cytokines secreted by peripheral blood mononuclear cell PBMCs. This role explains the negative correlations with disease duration and disease activity score (DAS28), ESR, and CRP [31].

Li et al. (2017) showed that Sema3A can be a hopeful biomarker for monitoring the RA activity as it is expressed in all skeletal lineages’ cells and then secreted locally and in the blood flow [32].

Sema3A becomes an immunosuppressive regulator that can initiate an immune inhibitory response by making a complex with neuropilin-1 and plexin-A4 [33]. This action was proven in several studies through the induction of Sema3A expression in animal models with arthritis and reported reduced severity and damage of articular surface [34].

In contrast to our results, Ha et al. (2018) found higher serum levels of Sema3A in patients with RA than those in healthy controls and showed a negative correlation with Dkk-1 and tumor necrosis factor-α and found non-significant correlation with radiographic damage assessed using the modified Larson score [35]. Our explanation is that there might be longitudinal changes in the serum level during the disease course that we were not able to detect in our study. Also, the longer disease duration of their patient that reached 81 months might play a factor in enhancing the release of this marker.

Using the ROC curve analysis, our study revealed a higher discriminative ability of serum Sema3A compared to RF and ACPA which enhances its diagnostic capacity (Fig. 1).

According to Gao et al. (2018), serum Sema3A level was significantly higher in RA patients than healthy controls, and it’s mRNA expression level was increased in RA patients’ PBMC than controls. The serum Sema3A level was positively correlated with platelet counts, ESR, RF, IgM, Larson score, and bone mineral density (BMD) of the lumbar spine. It was also significantly increased in anti-CCP-positive groups compared to negative groups [36].

These conflicting results might be due to different sample sizes and heterogeneous RA patients in individual studies.

Our results showed a significant negative correlation between Sema3A levels and ultrasound detected bony erosions (Table 3).

Teng et al. (2017) examined the effects of Sema3A on macrophages, fibroblasts, and osteoclasts which are the cells primarily involved in the pathogenesis of RA and revealed that Sema3A-supported IL-4 stimulated M2 macrophage polarization, while inhibited LPS/IFN-γ stimulated M1 polarization. Sema3A prevents endothelial cell proliferation and migration, represses fibroblast function, delays osteoclastogenesis, and performs a protective role in RA. Teng et al. concluded that Sema3A administration diminishes joint tissue damage and the severity of experimental arthritis and offers promising preventive and therapeutic strategies in arthritis [31].

Conclusion

Measuring serum 14-3-3η protein and Sema3A levels seem to have higher discriminative diagnostic utility in RA. Addition of these markers to ordinary known tests might lead to better diagnosis and evaluation of RA. Sema3A offers a potential therapeutic role for further studies to confirm these promising results.

Recommendations

Future long-term studies are to follow-up patients and to study whether these markers could have a prognostic value. Also, the relation between these markers and the pathogenesis of RA needs to be investigated.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

RA:

Rheumatoid arthritis

RF:

Rheumatoid factor

ACPAs:

Anti-citrullinated protein antibodies

IL-1β:

Interleukin 1β

TNF-α:

Tumor necrosis factor-α

DAS28:

Disease Activity Score 28

ESR:

Erythrocyte sedimentation rate

SDAI:

Simplified Disease Activity Index

PBMCs:

Peripheral blood mononuclear cells

ROC curve:

Receiver-operating characteristic

References

  1. Bugatti S, Manzo A, Montecucco C, Caporali R (2018) The clinical value of autoantibodies in rheumatoid arthritis. Front Med (Lausanne) 5:339

    Article  Google Scholar 

  2. Bykerk VP, Akhavan P, Hazlewood GS, Schieir O, Dooley A, Haraoui B et al (2012) Canadian rheumatology association recommendations for pharmacological management of rheumatoid arthritis with traditional and biologic disease modifying antirheumatic drugs. J Rheumatol 39:1559–1582

    Article  CAS  PubMed  Google Scholar 

  3. Smolen JS, Aletaha D, Barton A, Burmester GR, Emery P, Firestein GS, Kavanaugh A, McInnes IB, Solomon DH, Strand V et al (2018) Rheumatoid arthritis. Nat Rev Dis Primers 4:18001

    Article  PubMed  Google Scholar 

  4. Van der Kooij SM, Goekoop-Ruiterman YP, de Vries-Bouwstra JK, Güler-Yüksel M, Zwinderman AH, Kerstens PJ et al (2009) Drug-free remission, functioning and radiographic damage after 4 years of response-driven treatment in patients with recent-onset rheumatoid arthritis. Ann Rheum Dis 68(6):914–921

    Article  PubMed  Google Scholar 

  5. Scott DL, Pugner K, Kaarela K, Doyle DV, Woolf A, Holmes J et al (2000) The links between joint damage and disability in rheumatoid arthritis. Rheumatology (Oxford) 39(2):122–132

    Article  CAS  Google Scholar 

  6. Rooy DP, van der Linden MP, Knevel R, Huizinga TW, van der Helm-van Mil AH (2011) Predicting arthritis outcomes—what can be learned from the Leiden early arthritis clinic? Rheumatology (Oxford) 50:93–100

    Article  Google Scholar 

  7. Maksymowych WP, Van Der Heijde D, Allaart CF, Landewé R, Boire G, Tak PP et al (2014) 14-3-3eta is a novel mediator associated with the pathogenesis of rheumatoid arthritis and joint damage. Arthritis Res Ther 16:R99

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Obsilová V, Silhan J, Boura E, Teisinger J, Obsil T (2008) 14-3-3 proteins: a family of versatile molecular regulators. Physiol Res 57(3):S11–S21

    PubMed  Google Scholar 

  9. Van de Stadt LA, Witte BI, Bos WH, van Schaardenburg D (2013) A prediction rule for the development of arthritis in seropositive arthralgia patients. Ann Rheum Dis 72(12):1920–1926

    Article  PubMed  Google Scholar 

  10. Kolodkin AL, Matthes DJ, Goodman CS (1993) The semaphorin genes encode a family of transmembrane and secreted growth cone guidance molecules. Cell. 75(7):1389–1399

    Article  CAS  PubMed  Google Scholar 

  11. Nishide M, Kumanogoh A (2018) The role of semaphorins in immune responses and autoimmune rheumatic diseases. Nat Rev Rheumatol 14(1):19–31

    Article  CAS  PubMed  Google Scholar 

  12. He Z, Wang KC, Koprivica V, Ming G, Song HJ. (2002) Knowing how to navigate: mechanisms of semaphorin signaling in the nervous system. Sci STKE. 2002;(119):re1. https://doi.org/10.1126/stke.2002.119.re1

  13. Adams RH, Eichmann A (2010) Axon guidance molecules in vascular patterning. Cold Spring HarbPerspect Biol 2(5):a001875

    Google Scholar 

  14. Hayashi M, Nakashima T, Taniguchi M, Kodama T, Kumanogoh A, Takayanagi H (2012) Osteoprotection by semaphorin 3A. Nature. 485:69–74

    Article  CAS  PubMed  Google Scholar 

  15. Aletaha D, Neogi T, Silman AJ, Funovits J, Felson DT, Bingham CO 3rd et al (2010) Rheumatoid arthritis classification criteria: an American College of Rheumatology/European league against rheumatism, collaborative initiative. Arthritis Rheum 62(9):2569–2581

    Article  PubMed  Google Scholar 

  16. Wells G, Becker JC, Teng J, Dougados M, Schiff M, Smolen J et al (2009) Validation of the 28-joint disease activity score (DAS28) and European league against rheumatism response criteria based on C-reactive protein against disease progression in patients with rheumatoid arthritis, and comparison with the DAS28 based on erythrocyte sedimentation rate. Ann Rheum Dis 68(6):954–960

    Article  CAS  PubMed  Google Scholar 

  17. Smolen JS, Breedveld FC, Schiff MH, Kalden JR, Emery P, Eberl G et al (2003) A simplified disease activity index for rheumatoid arthritis for use in clinical practice. Rheumatology (Oxford) 42(2):244–257

    Article  CAS  Google Scholar 

  18. Larsen A (1995) How to apply Larsen score in evaluating radiographs of rheumatoid arthritis in long term studies? J Rheumatol 22:1974–1975

    CAS  PubMed  Google Scholar 

  19. Terslev L, Naredo E, Aegerter P, Wakefield RJ, Backhaus M, Balint P et al (2017) Scoring ultrasound synovitis in rheumatoid arthritis: a EULAR-OMERACT ultrasound taskforce-part 2: reliability and application to multiple joints of a standardised consensus-based scoring system. RMD Open 3(1):e000427

    Article  PubMed  PubMed Central  Google Scholar 

  20. Maksymowych WP, Naides SJ, Bykerk V, Siminovitchk KA, van Schaardenburg D, Boers M et al (2014) Serum 14-3-3η is a novel marker that complements current serological measurements to enhance detection of patients with rheumatoid arthritis. J Rheumatol 41:210413

    Google Scholar 

  21. Mohamed AH, Abdellatif S, El-Noshokaty (2018) Serum level of 14-3-3η (eta) protein as a diagnostic marker for rheumatoid arthritis and potential correlation with disease activity. MOJ Orthop Rheumatol 7(4):00280

    Google Scholar 

  22. Van Schaardenburg D, Maksymowych WP, Boers M, Van Beers-Tas MH, Marotta A (2014) Serum 14-3-3η predicts the risk of RA development and its higher titres are associated with higher risk. Ann Rheum Dis 73(2):602

    Google Scholar 

  23. Carrier N, Marotta A, de Brum-Fernandes AJ, Liangs P, Masetto A, M_enard HA (2016) Serum levels of 14-3-3η protein supplement C-reactive protein and rheumatoid arthritis-associated antibodies to predict clinical and radiographic outcomes in a prospective cohort of patients with recent-onset inflammatory polyarthritis. Arthritis Res Ther 18:37

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Kilani RT, Maksymowych WP, Aitken A, BoireG S-PY, Li Y, Ghahary A (2007) Detection of high levels of 2 specific isoforms of 14-3-3 proteins in synovial fluid from patients with joint inflammation. J Rheumatol 34:1650–1657

    CAS  PubMed  Google Scholar 

  25. Van Beers-Tas MH, Marotta A, Boers M, Maksymowych WP, Van Schaardenburg D (2016) A prospective cohort study of 14-3-3η in ACPA and/or RF-positive patients with arthralgia. Arthritis Res Ther 18:76

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. El-Sherif WT, Nigm DA, Abd-Elsamea MH, Kassem AM (2019) Evaluation of serum protein 14-3-3η (eta) as a novel biomarker for rheumatoid arthritis. Egypt J Immunol 27(1):163–175

    Google Scholar 

  27. Zeng T, Tan L (2018) 14-3-3η protein: a promising biomarker for rheumatoid arthritis. Biomark Med 12(8):917–925

    Article  CAS  PubMed  Google Scholar 

  28. Verlinden L, Vanderschueren D, Verstuyf A (2016) Semaphorin signaling in bone. Mol Cell Endocrinol 432:66–74

    Article  CAS  PubMed  Google Scholar 

  29. Takagawa S, Nakamura F, Kumagai K, Nagashima Y, Goshima Y, Saito T (2013) Decreased semaphorin3A expression correlates with disease activity and histological features of rheumatoid arthritis. BMC Musculoskelet Disord 14:40

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Xu R (2014) Semaphorin 3A: a new player in bone remodeling. Cell AdhMigr 8(1):5–10

    Google Scholar 

  31. Teng Y, Yin Z, Li J, Li K, Li X, Zhang Y (2017) Adenovirus-mediated delivery of Sema3A alleviates rheumatoid arthritis in a serum-transfer induced mouse model. Oncotarget. 8(39):66270–66280

    Article  PubMed  PubMed Central  Google Scholar 

  32. Li Z, Hao J, Duan X, Wu N, Zhou Z, Yang F, Li J, Zhao Z, Huang S (2017) The role of Semaphorin 3A in bone remodeling. Front Cell Neurosci 11:40

    PubMed Central  PubMed  Google Scholar 

  33. Glinka Y, Prud’homme GJ (2008) Neuropilin-1 is a receptor for transforming growth factor beta-1, activates its latent form, and promotes regulatory T cell activity. J Leukoc Biol 84:302–310

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Garcia S (2019) Role of Semaphorins in immunopathologies and rheumatic diseases. Int J Mol Sci 20(2):347

    Article  CAS  Google Scholar 

  35. Ha YJ, Han DW, Kim JH, Chung SW, Kang EH, Song YW et al (2018) Circulating Semaphorin 4D as marker for predicting radiographic progression in patients with rheumatoid arthritis. Dis Markers 2318386. https://doi.org/10.1155/2018/2318386

  36. Gao H, Ma XX, Guo Q, Zou YD, Zhong YC, Xie LF et al (2017) Expression and clinical significance of Semaphorin 3A in serum and mononuclear cells in patients with systemic lupus erythematosus. Zhonghua Yi XueZaZhi 97(5):370–374

    CAS  Google Scholar 

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Funding

We did not receive any funds for this study.

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Authors and Affiliations

  1. Physical Medicine, Rheumatology and Rehabilitation, Faculty of Medicine, Tanta University, Tanta, Gharbia Governorate, Egypt

    Nivine Fathi Darwish, Shymaa Ahmed Hablas & El Sayed Mohamed Hamid Rageh

  2. Department of Clinical Pathology, Faculty of Medicine, Tanta University, Tanta, Egypt

    Nivin Naeem Baiomy

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  1. Nivine Fathi Darwish
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  2. Shymaa Ahmed Hablas
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  4. El Sayed Mohamed Hamid Rageh
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Contributions

NF set the design, collected the data, and performed the data analysis. SA collected the data and performed the analysis and drafting. NN performed the analysis and interpretation of the data and drafting. ER suggested the study design, performed the blind ultrasonograghic evaluation for all cases, and shared in the drafting. The authors read and approved the final manuscript.

Corresponding author

Correspondence to Shymaa Ahmed Hablas.

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Ethics approval and consent to participate

The study was implemented in agreement with the ethical principles of Helsinki and was approved by the local Research Ethics Committee of Faculty of Medicine, Tanta University (approval code 31084/07/19). All of the participants gave written informed consent after a full explanation of the study.

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Darwish, N.F., Hablas, S.A., Baiomy, N.N. et al. Evaluation of serum14-3-3η protein and Sema3A levels in rheumatoid arthritis: diagnostic and prognostic value. Egypt Rheumatol Rehabil 47, 43 (2020). https://doi.org/10.1186/s43166-020-00044-z

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  • DOI: https://doi.org/10.1186/s43166-020-00044-z

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