-
Je něco špatně v tomto záznamu ?
Identification of potential autoantigens in anti-CCP-positive and anti-CCP-negative rheumatoid arthritis using citrulline-specific protein arrays
TBG. Poulsen, D. Damgaard, MM. Jørgensen, L. Senolt, JM. Blackburn, CH. Nielsen, A. Stensballe
Jazyk angličtina Země Velká Británie
Typ dokumentu časopisecké články, práce podpořená grantem
NLK
Directory of Open Access Journals
od 2011
Free Medical Journals
od 2011
Nature Open Access
od 2011-12-01
PubMed Central
od 2011
Europe PubMed Central
od 2011
ProQuest Central
od 2011-01-01
Open Access Digital Library
od 2011-01-01
Open Access Digital Library
od 2011-01-01
Health & Medicine (ProQuest)
od 2011-01-01
ROAD: Directory of Open Access Scholarly Resources
od 2011
- MeSH
- autoantigeny krev imunologie MeSH
- biologické markery krev MeSH
- čipová analýza proteinů MeSH
- citrulin metabolismus MeSH
- citrulinace MeSH
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- peptidylarginindeiminasa typu 2 metabolismus MeSH
- peptidylarginindeiminasa typu 4 metabolismus MeSH
- protilátky proti citrulinovaným peptidům imunologie MeSH
- revmatoidní artritida imunologie MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- tandemová hmotnostní spektrometrie MeSH
- vysokoúčinná kapalinová chromatografie MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
The presence or absence of autoantibodies against citrullinated proteins (ACPAs) distinguishes two main groups of rheumatoid arthritis (RA) patients with different etiologies, prognoses, disease severities, and, presumably, disease pathogenesis. The heterogeneous responses of RA patients to various biologics, even among ACPA-positive patients, emphasize the need for further stratification of the patients. We used high-density protein array technology for fingerprinting of ACPA reactivity. Identification of the proteome recognized by ACPAs may be a step to stratify RA patients according to immune reactivity. Pooled plasma samples from 10 anti-CCP-negative and 15 anti-CCP-positive RA patients were assessed for ACPA content using a modified protein microarray containing 1631 different natively folded proteins citrullinated in situ by protein arginine deiminases (PADs) 2 and PAD4. IgG antibodies from anti-CCP-positive RA plasma showed high-intensity binding to 87 proteins citrullinated by PAD2 and 99 proteins citrullinated by PAD4 without binding significantly to the corresponding native proteins. Curiously, the binding of IgG antibodies in anti-CCP-negative plasma was also enhanced by PAD2- and PAD4-mediated citrullination of 29 and 26 proteins, respectively. For only four proteins, significantly more ACPA binding occurred after citrullination with PAD2 compared to citrullination with PAD4, while the opposite was true for one protein. We demonstrate that PAD2 and PAD4 are equally efficient in generating citrullinated autoantigens recognized by ACPAs. Patterns of proteins recognized by ACPAs may serve as a future diagnostic tool for further subtyping of RA patients.
Department of Clinical Immunology Aalborg University Hospital Aalborg Denmark
Department of Clinical Medicine Aalborg University Aalborg Denmark
Sino Danish College University of Chinese Academy of Sciences Beijing China
- 000
- 00000naa a2200000 a 4500
- 001
- bmc22003891
- 003
- CZ-PrNML
- 005
- 20220127145743.0
- 007
- ta
- 008
- 220113s2021 xxk f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1038/s41598-021-96675-z $2 doi
- 035 __
- $a (PubMed)34453079
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a xxk
- 100 1_
- $a Poulsen, Thomas B G $u Department of Health Science and Technology, Aalborg University, Fredrik Bajers Vej 5, 9220, Aalborg, Denmark $u Sino-Danish College (SDC), University of Chinese Academy of Sciences, Beijing, China
- 245 10
- $a Identification of potential autoantigens in anti-CCP-positive and anti-CCP-negative rheumatoid arthritis using citrulline-specific protein arrays / $c TBG. Poulsen, D. Damgaard, MM. Jørgensen, L. Senolt, JM. Blackburn, CH. Nielsen, A. Stensballe
- 520 9_
- $a The presence or absence of autoantibodies against citrullinated proteins (ACPAs) distinguishes two main groups of rheumatoid arthritis (RA) patients with different etiologies, prognoses, disease severities, and, presumably, disease pathogenesis. The heterogeneous responses of RA patients to various biologics, even among ACPA-positive patients, emphasize the need for further stratification of the patients. We used high-density protein array technology for fingerprinting of ACPA reactivity. Identification of the proteome recognized by ACPAs may be a step to stratify RA patients according to immune reactivity. Pooled plasma samples from 10 anti-CCP-negative and 15 anti-CCP-positive RA patients were assessed for ACPA content using a modified protein microarray containing 1631 different natively folded proteins citrullinated in situ by protein arginine deiminases (PADs) 2 and PAD4. IgG antibodies from anti-CCP-positive RA plasma showed high-intensity binding to 87 proteins citrullinated by PAD2 and 99 proteins citrullinated by PAD4 without binding significantly to the corresponding native proteins. Curiously, the binding of IgG antibodies in anti-CCP-negative plasma was also enhanced by PAD2- and PAD4-mediated citrullination of 29 and 26 proteins, respectively. For only four proteins, significantly more ACPA binding occurred after citrullination with PAD2 compared to citrullination with PAD4, while the opposite was true for one protein. We demonstrate that PAD2 and PAD4 are equally efficient in generating citrullinated autoantigens recognized by ACPAs. Patterns of proteins recognized by ACPAs may serve as a future diagnostic tool for further subtyping of RA patients.
- 650 _2
- $a dospělí $7 D000328
- 650 _2
- $a senioři $7 D000368
- 650 _2
- $a senioři nad 80 let $7 D000369
- 650 _2
- $a protilátky proti citrulinovaným peptidům $x imunologie $7 D000075422
- 650 _2
- $a revmatoidní artritida $x imunologie $7 D001172
- 650 _2
- $a autoantigeny $x krev $x imunologie $7 D001324
- 650 _2
- $a biologické markery $x krev $7 D015415
- 650 _2
- $a vysokoúčinná kapalinová chromatografie $7 D002851
- 650 _2
- $a citrulinace $7 D000076302
- 650 _2
- $a citrulin $x metabolismus $7 D002956
- 650 _2
- $a ženské pohlaví $7 D005260
- 650 _2
- $a lidé $7 D006801
- 650 _2
- $a mužské pohlaví $7 D008297
- 650 _2
- $a lidé středního věku $7 D008875
- 650 _2
- $a čipová analýza proteinů $7 D040081
- 650 _2
- $a peptidylarginindeiminasa typu 2 $x metabolismus $7 D000080064
- 650 _2
- $a peptidylarginindeiminasa typu 4 $x metabolismus $7 D000080002
- 650 _2
- $a tandemová hmotnostní spektrometrie $7 D053719
- 655 _2
- $a časopisecké články $7 D016428
- 655 _2
- $a práce podpořená grantem $7 D013485
- 700 1_
- $a Damgaard, Dres $u Institute for Inflammation Research, Center for Rheumatology and Spine Diseases, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
- 700 1_
- $a Jørgensen, Malene M $u Department of Clinical Immunology, Aalborg University Hospital, Aalborg, Denmark $u Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
- 700 1_
- $a Senolt, Ladislav $u Institute of Rheumatology and Department of Rheumatology, 1st Faculty of Medicine, Charles University, Prague, Czech Republic
- 700 1_
- $a Blackburn, Jonathan M $u Department of Integrative Biomedical Sciences and Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
- 700 1_
- $a Nielsen, Claus H $u Institute for Inflammation Research, Center for Rheumatology and Spine Diseases, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
- 700 1_
- $a Stensballe, Allan $u Department of Health Science and Technology, Aalborg University, Fredrik Bajers Vej 5, 9220, Aalborg, Denmark. as@hst.aau.dk
- 773 0_
- $w MED00182195 $t Scientific reports $x 2045-2322 $g Roč. 11, č. 1 (2021), s. 17300
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/34453079 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y p $z 0
- 990 __
- $a 20220113 $b ABA008
- 991 __
- $a 20220127145740 $b ABA008
- 999 __
- $a ok $b bmc $g 1751376 $s 1155040
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2021 $b 11 $c 1 $d 17300 $e 20210827 $i 2045-2322 $m Scientific reports $n Sci Rep $x MED00182195
- LZP __
- $a Pubmed-20220113