Literature DB >> 35788140

Autoantibodies against IFNα in patients with systemic lupus erythematosus and susceptibility for infection: a retrospective case-control study.

Maxime Beydon1, Pascale Nicaise-Roland2,3, Arthur Mageau1,4,5, Carine Farkh2, Eric Daugas4,6, Vincent Descamps7, Philippe Dieude8, Antoine Dossier1, Tiphaine Goulenok1, Fatima Farhi1, Pierre Mutuon9, Jean-Francois Timsit5,10, Thomas Papo1,4, Karim Sacre11,12.   

Abstract

IFNα and anti-IFNα autoantibodies have been implicated in susceptibility both for systemic lupus erythematosus (SLE) and viral infection. We aimed to analyze the SLE disease phenotype and risk for infection associated with anti-IFN-α IgG autoantibodies in SLE patients In this multidisciplinary retrospective single referral center study, all consecutive patients with SLE admitted between January 1st and November 30th 2020 were considered. All subjects fulfilled the ACR/EULAR 2019 criteria for SLE. Anti-IFNα IgG autoantibodies were quantified at admission by ELISA. Demographic, medical history, laboratory, treatment, and outcome data were extracted from electronic medical records using a standardized data collection form. 180 patients [female 87.2%, median age of 44.4 (34-54.2) years] were included. The median disease duration was 10 years [4-20] with a median SLEDAI score of 2 [0-4] at study time. Fifty-four (30%) patients had a past-history of lupus nephritis. One hundred and forty-four (80%) had received long-term glucocorticoids and 99 (55%) immunosuppressive drugs. Overall, 127 infections-mostly bacterial and viral-were reported in 95 (52.8%) patients. Twenty SLE patients (11.1%) had positive anti-IFNα IgG autoantibodies with a titer ranging from 10 to 103 UA/mL. Age, sex, SLE phenotype and treatment did not significantly differ between SLE patients with or without anti-IFNα. Infection rate was similar in both groups except for tuberculosis which was more frequent in patients with anti-IFNα (20% vs. 3.1%, p = 0.01). The prevalence of autoantibodies against IFNα is high in SLE and associated with a higher frequency of tuberculosis.
© 2022. The Author(s).

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Year:  2022        PMID: 35788140      PMCID: PMC9253327          DOI: 10.1038/s41598-022-15508-9

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.996


Introduction

Type I interferon (mainly IFN-α) has been considered for decades as a pivotal cytokine in SLE[1]. IFN-α, produced mainly by plasmacytoid dendritic cells[2,3], is known to be associated with disease activity, especially in lupus nephritis[4] and anti-type I interferon receptor therapy has been shown to be efficient in SLE patients[5]. Recent reports also brought back to light the presence of IFN-α autoantibodies (anti-IFN-α) in up to 40% of SLE patients[6]. Interestingly, anti-IFN-α have been shown to alter the interferon signature and may thus be protective in SLE[7,8]. Anti-IFNα may also predispose to severe COVID-19 by blocking the action of this crucial antiviral cytokine[9]. Thereby, anti-IFN-α in SLE might on one hand help to control the disease and increase the risk of infection on the other hand[10]. In order to give insight into the complex relationship between infection risk, SLE and anti-IFNα, we analyzed both infection history—including COVID-19—and SLE disease phenotype according to anti-IFN-α status.

Material and methods

Population study

All consecutive adult SLE patients admitted between January 1st and November 30th 2020, at Bichat Hospital in 5 distinct Departments of Medicine (Dermatology, Intensive Care Unit, Internal Medicine, Nephrology, and Rheumatology) were selected. Bichat Hospital, Paris, France is a referral national center for rare Autoimmune Diseases. All subjects fulfilled the ACR/EULAR 2019 criteria for Systemic Lupus Erythematosus[11]. International Classification of Disease code (ICD-10) for SLE (M32) was used for screening. Data were extracted from the French Diagnosis Related Groups (DRG) based information system (PMSI) databases. Demographic, medical history, biological workup, treatment and follow-up data were retrieved from computerized medical files. Exclusion criteria included inability to confirm SLE after review of medical records and inability to retrieve serum specimens for anti-IFN-α analysis. COVID 19 was defined by a positive SARS-CoV-2 RT-PCR testing on a respiratory sample (nasopharyngeal swab or invasive respiratory sample) or a positive serology N-protein specific IgG without prior vaccination. Other prior infections were based on declared history confirmed by medical records.

Anti-IFNα IgG autoantibodies

The quantification of anti-IFN-α IgG autoantibodies was performed on serum samples draw at admission in the setting of care between January 1st and November 30th 2020. Serum samples were frozen at − 20 °C immediately after collection. Anti-IFN–α IgG were determined by ELISA according to the method described by Bastard et al.[9]. Plates were coated overnight at 4 °C with 1µg/mL recombinant human interferon-α (rhIFN-α2, Miltenyi Biotec) and incubated with 1:50 dilutions of serum samples from the patients. Horseradish peroxidase conjugate Fc specific anti-human IgG (Sigma) was added, the optical density was measured after addition of the substrate (TMB). Arbitrary units were calculated based on a standard curve obtained with the serum of a patient with known high titer of anti-IFNα autoantibodies. The positivity threshold determined in healthy controls was 10 UA/mL.

Ethical statement

Our study is a human non-interventional retrospective study where 1-study involved products with a marketing authorization that are prescribed in the usual manner and used in accordance with French agencies authorizations, 2-epidemiological methods were used to analyze the data, and 3-information used in the study were collected for clinical care. According to the Public Health French Law (French Research Standard MR-004), approval from institutional review board and written consent are not required for human non-interventional retrospective study. For ethical consideration, patients were however informed that data that was collected in medical records might be used for research study in accordance to privacy rule. The study protocol conforms to the ethical guidelines of the 1975 Declaration of Helsinki.

Statistical analysis

Continuous variables are expressed as median [IQR]. Categorical variables are expressed as frequencies and percentages. Data were compared between SLE patients with or without anti-IFN-α by using Fisher’s exact test for nominal variables, χ2 test for continuous variables with normal distribution and Kruskall-Wallis test for continuous non normal variables. We preplanned 4 analyses of COVID-19, viral infections, zoster, and tuberculosis frequency across groups. A Bonferroni correction taking into account these 4 comparisons was used. Statistical analyses were performed using R software.

Results

Characteristics of patients

From January 1st until November 30th 2020, 247 unique SLE patients who had at least an admission in our national referral center (Bichat Hospital, Paris, France) were eligible for the study according to ICD-10 identification. After careful review of individual medical records, the diagnosis of SLE according to ACR/EULAR 2019 criteria was not retained in 67 patients and 180 SLE patients (median age of 44.4 [34–54.2] years, 157 (87.2%) female) were eventually included. Admissions were unplanned (urgent) or planned in 42 (23.3%) and 138 (76.7%) cases, respectively. Unplanned admissions were due to lupus flares (n = 26/42, 61.9%) or infection (n = 7/42, 16.7%) in most cases. Planned admissions were related to SLE follow-up or treatment in 129 (n = 129/138, 93.5%) cases (Fig. S1). The median SLEDAI disease activity score at admission was 2 [0-4]. Fifty-four (30%) patients had a past history of lupus nephritis. One hundred and forty-four (80%) had received long-term glucocorticoids and 99 (55%) immunosuppressive drugs at some point during follow-up. Steroids were currently prescribed in 62% at a median daily dose of 5 [0-9] mg at study time. Overall, 127 prior infectious episodes—mainly bacterial (n = 68/127, 53.5%) and viral (n = 40/127, 31.5%)—were reported in 95 (n = 95/180, 52.8%) patients. Viral infection was mostly due to herpes zoster (n = 13/40, 32.5%) and Sars-Cov2 (n = 15/40, 37.5%). Nine (n = 9/180, 5%) patients had tuberculosis (Table 1).
Table 1

Characteristic of SLE patients.

All n = 180Anti-IFNα positive n = 20Anti-IFNα negative n = 160p
Female Sex, n (%)157 (87.2)17 (85)140 (87.5)0.73
Age, years44.4 [34–54.2]41.5 [30.25–55]44.8 [35–54]0.32
SLE phenotype
Duration of SLE disease, years10 [4–20]8.5 [2–20.25]10 [4–20]0.58
SLEDAI score2 [0–4]2 [0–4.5]2 [0–4]0.24
Arthritis, n (%)127 (71)13 (65)114 (71)0.61
Auto-immune cytopenia, n (%)37 (21)1 (5)36 (22.5)0.08
Class III/IV nephritis, n (%)54 (30)7 (35)47 (29)0.61
Serosal, n (%)49 (27)5 (25)44 (28)1
Neuropsychiatric, n (%)13 (7.2)0 (0)13 (8.1)0.37
Mucocutaneous, n (%)125 (69)14 (70)111 (69)1
anti-SSA, n (%)80 (45)8 (40)72 (46)0.64
anti-SSB, n (%)22 (12)1 (5)21 (13.4)0.48
anti-RNP, n (%)51 (29)8 (40)43 (27)0.30
anti-Sm, n (%)42 (24)7 (35)35 (22)0.26
anti-PL, n (%)42 (23)4 (20)38 (24)1
Low C3, n (%)41 (30)5 (31)36 (30)1
Gammaglobulins, g/L13.8 [10.2–16.8]11.7 [9.9–17.6]13.9 [10.75–16.25]0.9
Lymphocytes count1.5 [1.1–2]1.68 [1.1–2]1.5 [1.1–2]0.77
GFR < 60 mL/mn/1.73 m2, n(%)12 (7)2 (10)10 (6.2)0.63
Proteinuria/Creatininuria, mg/mmol30 [20–100]30 [20–60]30 [10–100]0.81
Infections
Bacterium, n (%)57 (31.7)4 (20)53 (33.1)0.81
Virus40 (22.2)6 (30)34 (21.2)0.41
VZV13 (7)1 (5)12 (7.5)1
SarsCov215 (8.3)3 (15)12 (7.5)0.22
Admission725
ICU000
Asymptomatic312
Second infection312
Other$12 (6.7)2 (10)10 (6.2)0.63
Mycobacterium tuberculosis9 (5)4 (20)5 (3.1)0.01
Parasite/Fungus, n (%)10 (5.6)0 (0)10 (6.2)0.61
Pneumocystis carinii2 (1.1)0 (0)2 (1.3)
Aspergillosis0 (0)0 (0)0 (0)
Other†8 (4.5)0 (0)8 (5)
Number of infection0.72
169 (38.3)9 (45)60 (37.5)
221 (11.7)3 (15)18 (11.2)
 > 25 (2.8)0 (0)5 (3.1)
Treatment history
Steroids, n (%)144 (80)16 (80)128 (80)1
Steroids daily dose*, mg/d5 [0–9]5 [0–9.25]5 [0–9]0.77
Hydroxychloroquine, n (%)148 (82)18 (90)130 (81)0.54
HCQ daily dose, mg/d400 [200–400]400 [200–400]400 [375–400]1
[HCQ] ng/mL936 [555–1276]1326 [832–1787]906 [510–1261]0.07
Immunosuppressive drugs, n (%)99 (55)13 (65)86 (54)0.48
Biologics, n (%)43 (24)5 (25)38 (24)1

GFR glomerular filtration rate, HCQ hydroxychloroquine, VZV varicella-zoster virus, ICU intensive care unit, HCQ hydroxychloroquine.

Immunosuppressive drugs included cyclophosphamide, azathioprine, mycophenolate mofetil, and methotrexate.

Biologics included belimumab and rituximab.

$other virus include respiratory viruses (n = 2), herpes simplex virus (n = 2), dengue virus (n = 2), hepatitis C virus (n = 2), hepatitis B virus (n = 2), human papillomavirus (n = 1), and chikungunya virus (n = 1).

†Other parasite/fungus include plasmodium falciparum (n = 6), sarcoptes scabiei (n = 1) and cryptosporidium (n = 1).

*Current.

Characteristic of SLE patients. GFR glomerular filtration rate, HCQ hydroxychloroquine, VZV varicella-zoster virus, ICU intensive care unit, HCQ hydroxychloroquine. Immunosuppressive drugs included cyclophosphamide, azathioprine, mycophenolate mofetil, and methotrexate. Biologics included belimumab and rituximab. $other virus include respiratory viruses (n = 2), herpes simplex virus (n = 2), dengue virus (n = 2), hepatitis C virus (n = 2), hepatitis B virus (n = 2), human papillomavirus (n = 1), and chikungunya virus (n = 1). †Other parasite/fungus include plasmodium falciparum (n = 6), sarcoptes scabiei (n = 1) and cryptosporidium (n = 1). *Current. Twenty SLE patients (11.1%) had positive anti-IFNα IgG autoantibodies with a titer ranging from 10 to 103 UA/mL (median = 15). Anti-IFNα autoantibodies were tested overtime in 54 (30%) patients. When identified at baseline (n = 7), anti-IFNα were confirmed during a follow-up in all but 2 cases. When absent at first screening (n = 47), anti-IFNα remained negative in all but 1 case. Age, sex, SLE features or treatment and history of infection including viral infection rates or types did not differ between SLE patients with or without anti-IFNα, except for tuberculosis disease which was more frequent in patients with anti-IFNα (20% vs 3.1%, p = 0.01) (Table 1). In all but 2 cases, TB had occurred a median of 48 [12-168] months before SLE diagnosis in untreated—no immunosuppressive drugs—patients (Table 2).
Table 2

SLE patients, anti-IFNα autoantibodies and tuberculosis.

Anti-IFNαAge at diagnosisGenderSLE Treatment at TBTB involvementOther infection
titer*TBSLELungLNCNS
1 < 32042F01
2654953F01
3 < 33541F01Zona
4 < 33735FS, HCQ1
5182424F01
6832727F01
7102145F011
8 < 36463FS, HCQ1
9 < 35253M011

S steroids, HCQ hydroxychloroquine, LN lymph node, CNS central nervous system, F, female, M male, TB tuberculosis, SLE systemic lupus erythematosus.

*Positivity threshold ≥ 10 UA/mL.

SLE patients, anti-IFNα autoantibodies and tuberculosis. S steroids, HCQ hydroxychloroquine, LN lymph node, CNS central nervous system, F, female, M male, TB tuberculosis, SLE systemic lupus erythematosus. *Positivity threshold ≥ 10 UA/mL.

Discussion

Our study shows that, in a large cohort of carefully characterized SLE patients, 11% are positive for anti-IFNα IgG autoantibodies. This finding is consistent with previous reports on prevalence of anti-INFα antibodies in SLE[7,12]. Our study confirms the high prevalence of anti-IFNα in SLE as compared to the general population where the prevalence is estimated less than 1%[9]. We found no significant correlation between anti-INFα autoantibodies and SLE disease activity. Published results are conflicting since anti-INFα antibodies have been associated with either increased[7] or decreased[8] lupus activity. The fact that almost all SLE patients in our cohort had low disease activity status may have impeded the proper analysis of anti-INFα impact on SLE activity based on SLEDAI score (Fig. S2). In vitro anti-IFNα autoantibodies inhibit IFNα signaling in SLE[7] and may influence the disease phenotype. In our study, auto-immune cytopenia—mostly immune thrombocytopenia (ITP)—tended to be less frequent in SLE patients immunized against IFNα. Interestingly, IFNα and downstream interferon response genes are known to contribute to the pathogenesis of ITP[13]. In the general population, neutralizing anti-IFNα IgG autoantibodies are detected in about 10% of patients with severe COVID-19[9]. Anti-IFNα testing may help to identify individuals at high risk of life-threatening infection. Despite a high prevalence of anti-IFNα IgG autoantibodies in SLE and a poor prognosis of severe COVID-19 among patients with SLE[14,15], no patients displayed severe COVID-19 in our series. Anti-IFNα autoantibodies were associated with a higher frequency of TB in our SLE patients. Although SLE patients are known to be at higher risk of TB[16], the interconnection of TB, SLE and anti-IFNα autoantibodies is not easy to decipher. First, since TB preceded SLE in most cases, the implication of SLE treatment is unlikely. Second, TB involved the lungs in 2/3 of cases as reported in the general population[17]. Third, IFNα, in contrast to IFN-γ[18], is not known to play a key role in susceptibility for TB. Of note, the breach of tolerance observed in SLE triggers a broad range of autoantibodies including anti-IFNα and IFN-γ[7,12] autoantibodies. In human SLE, large case–control studies have shown that autoantibodies—especially antinuclear antibodies—are present in serum months to years before clinical disease onset[19]. No specific study has addressed the timing of anti-IFNα in the course of SLE. In our study, serial testing over a short period showed that in most SLE patients the anti-IFNα positive or negative status remained stable. Such issues could be addressed prospectively by using serial anti-IFNα testing both in SLE and TB patients. Our study presents several limitations. First, the study is a retrospective single center study. Second, it has limited power due to the rather limited prevalence of anti-IFNα autoantibodies in SLE even though it is much higher than in the general population. Third, repeated anti-IFNα testing was performed in only a third of patients. Fourth, the neutralizing activity of the autoantibodies on type I IFN was not tested in vitro.

Conclusion

The prevalence of autoantibodies against IFNα is high in SLE and unexpectedly associated with a high frequency of past tuberculosis. Supplementary Information.
  18 in total

Review 1.  Type I interferon in the pathogenesis of lupus.

Authors:  Mary K Crow
Journal:  J Immunol       Date:  2014-06-15       Impact factor: 5.422

2.  Association of endogenous anti-interferon-α autoantibodies with decreased interferon-pathway and disease activity in patients with systemic lupus erythematosus.

Authors:  Alyssa M Morimoto; Donna Thibault Flesher; Jihong Yang; Kristen Wolslegel; Xiangdan Wang; Ann Brady; Alexander R Abbas; Valerie Quarmby; Eric Wakshull; Bruce Richardson; Michael J Townsend; Timothy W Behrens
Journal:  Arthritis Rheum       Date:  2011-08

3.  Incidence of autoantibodies against type I and type II interferons in a cohort of systemic lupus erythematosus patients in Slovakia.

Authors:  Monika Slavikova; Hana Schmeisser; Eva Kontsekova; Frantisek Mateicka; Ladislav Borecky; Peter Kontsek
Journal:  J Interferon Cytokine Res       Date:  2003-03       Impact factor: 2.607

4.  Systemic lupus erythematosus flare following SARS-CoV2 infection: the implication of IFNα and anti-IFNα autoantibodies.

Authors:  Arthur Mageau; Pascale Nicaise Roland; Tiphaine Goulenok; Carine Farkh; Nicolas Charles; Karim Sacre
Journal:  Clin Exp Rheumatol       Date:  2022-02-16       Impact factor: 4.862

5.  Distinct Functions of Autoantibodies Against Interferon in Systemic Lupus Erythematosus: A Comprehensive Analysis of Anticytokine Autoantibodies in Common Rheumatic Diseases.

Authors:  Sarthak Gupta; Ioanna P Tatouli; Lindsey B Rosen; Sarfaraz Hasni; Ilias Alevizos; Zerai G Manna; Juan Rivera; Chao Jiang; Richard M Siegel; Steven M Holland; Haralampos M Moutsopoulos; Sarah K Browne
Journal:  Arthritis Rheumatol       Date:  2016-07       Impact factor: 10.995

Review 6.  Inherited and acquired immunodeficiencies underlying tuberculosis in childhood.

Authors:  Stéphanie Boisson-Dupuis; Jacinta Bustamante; Jamila El-Baghdadi; Yildiz Camcioglu; Nima Parvaneh; Safaa El Azbaoui; Aomar Agader; Amal Hassani; Naima El Hafidi; Nidal Alaoui Mrani; Zineb Jouhadi; Fatima Ailal; Jilali Najib; Ismail Reisli; Adil Zamani; Sebnem Yosunkaya; Saniye Gulle-Girit; Alisan Yildiran; Funda Erol Cipe; Selda Hancerli Torun; Ayse Metin; Basak Yildiz Atikan; Nevin Hatipoglu; Cigdem Aydogmus; Sara Sebnem Kilic; Figen Dogu; Neslihan Karaca; Guzide Aksu; Necil Kutukculer; Melike Keser-Emiroglu; Ayper Somer; Gonul Tanir; Caner Aytekin; Parisa Adimi; Seyed Alireza Mahdaviani; Setareh Mamishi; Aziz Bousfiha; Ozden Sanal; Davood Mansouri; Jean-Laurent Casanova; Laurent Abel
Journal:  Immunol Rev       Date:  2015-03       Impact factor: 12.988

7.  SARS-CoV-2 infection among inpatients with systemic lupus erythematosus in France: a nationwide epidemiological study.

Authors:  Arthur Mageau; Geoffrey Aldebert; Damien Van Gysel; Thomas Papo; Jean-François Timsit; Karim Sacre
Journal:  Ann Rheum Dis       Date:  2021-03-16       Impact factor: 19.103

8.  Hydroxychloroquine is associated with impaired interferon-alpha and tumor necrosis factor-alpha production by plasmacytoid dendritic cells in systemic lupus erythematosus.

Authors:  Karim Sacre; Lindsey A Criswell; Joseph M McCune
Journal:  Arthritis Res Ther       Date:  2012-06-27       Impact factor: 5.156

9.  Survival after COVID-19-associated organ failure among inpatients with systemic lupus erythematosus in France: a nationwide study.

Authors:  Arthur Mageau; Thomas Papo; Stephane Ruckly; Andrey Strukov; Damien van Gysel; Karim Sacre; Jean-François Timsit
Journal:  Ann Rheum Dis       Date:  2021-12-10       Impact factor: 19.103

10.  Autoantibodies against type I IFNs in patients with life-threatening COVID-19.

Authors:  Paul Bastard; Lindsey B Rosen; Qian Zhang; Eleftherios Michailidis; Hans-Heinrich Hoffmann; Yu Zhang; Karim Dorgham; Quentin Philippot; Jérémie Rosain; Vivien Béziat; Steven M Holland; Guy Gorochov; Emmanuelle Jouanguy; Charles M Rice; Aurélie Cobat; Luigi D Notarangelo; Laurent Abel; Helen C Su; Jean-Laurent Casanova; Jérémy Manry; Elana Shaw; Liis Haljasmägi; Pärt Peterson; Lazaro Lorenzo; Lucy Bizien; Sophie Trouillet-Assant; Kerry Dobbs; Adriana Almeida de Jesus; Alexandre Belot; Anne Kallaste; Emilie Catherinot; Yacine Tandjaoui-Lambiotte; Jeremie Le Pen; Gaspard Kerner; Benedetta Bigio; Yoann Seeleuthner; Rui Yang; Alexandre Bolze; András N Spaan; Ottavia M Delmonte; Michael S Abers; Alessandro Aiuti; Giorgio Casari; Vito Lampasona; Lorenzo Piemonti; Fabio Ciceri; Kaya Bilguvar; Richard P Lifton; Marc Vasse; David M Smadja; Mélanie Migaud; Jérome Hadjadj; Benjamin Terrier; Darragh Duffy; Lluis Quintana-Murci; Diederik van de Beek; Lucie Roussel; Donald C Vinh; Stuart G Tangye; Filomeen Haerynck; David Dalmau; Javier Martinez-Picado; Petter Brodin; Michel C Nussenzweig; Stéphanie Boisson-Dupuis; Carlos Rodríguez-Gallego; Guillaume Vogt; Trine H Mogensen; Andrew J Oler; Jingwen Gu; Peter D Burbelo; Jeffrey I Cohen; Andrea Biondi; Laura Rachele Bettini; Mariella D'Angio; Paolo Bonfanti; Patrick Rossignol; Julien Mayaux; Frédéric Rieux-Laucat; Eystein S Husebye; Francesca Fusco; Matilde Valeria Ursini; Luisa Imberti; Alessandra Sottini; Simone Paghera; Eugenia Quiros-Roldan; Camillo Rossi; Riccardo Castagnoli; Daniela Montagna; Amelia Licari; Gian Luigi Marseglia; Xavier Duval; Jade Ghosn; John S Tsang; Raphaela Goldbach-Mansky; Kai Kisand; Michail S Lionakis; Anne Puel; Shen-Ying Zhang
Journal:  Science       Date:  2020-09-24       Impact factor: 63.714

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