Transcriptome alterations in peripheral blood B cells of patients with multiple sclerosis receiving immune reconstitution therapy.


Journal

Journal of neuroinflammation
ISSN: 1742-2094
Titre abrégé: J Neuroinflammation
Pays: England
ID NLM: 101222974

Informations de publication

Date de publication:
02 Aug 2023
Historique:
received: 12 10 2022
accepted: 25 07 2023
medline: 4 8 2023
pubmed: 3 8 2023
entrez: 2 8 2023
Statut: epublish

Résumé

Multiple sclerosis (MS) is a chronic, inflammatory and neurodegenerative disease that leads to irreversible damage to the brain and spinal cord. The goal of so-called "immune reconstitution therapies" (IRTs) is to achieve long-term disease remission by eliminating a pathogenic immune repertoire through intense short-term immune cell depletion. B cells are major targets for effective immunotherapy in MS. The aim of this study was to analyze the gene expression pattern of B cells before and during IRT (i.e., before B-cell depletion and after B-cell repopulation) to better understand the therapeutic effects and to identify biomarker candidates of the clinical response to therapy. B cells were obtained from blood samples of patients with relapsing-remitting MS (n = 50), patients with primary progressive MS (n = 13) as well as healthy controls (n = 28). The patients with relapsing MS received either monthly infusions of natalizumab (n = 29) or a pulsed IRT with alemtuzumab (n = 15) or cladribine (n = 6). B-cell subpopulation frequencies were determined by flow cytometry, and transcriptome profiling was performed using Clariom D arrays. Differentially expressed genes (DEGs) between the patient groups and controls were examined with regard to their functions and interactions. We also tested for differences in gene expression between patients with and without relapse following alemtuzumab administration. Patients treated with alemtuzumab or cladribine showed on average a > 20% lower proportion of memory B cells as compared to before IRT. This was paralleled by profound transcriptome shifts, with > 6000 significant DEGs after adjustment for multiple comparisons. The top DEGs were found to regulate apoptosis, cell adhesion and RNA processing, and the most highly connected nodes in the network of encoded proteins were ESR2, PHB and RC3H1. Higher mRNA levels of BCL2, IL13RA1 and SLC38A11 were seen in patients with relapse despite IRT, though these differences did not pass the false discovery rate correction. We show that B cells circulating in the blood of patients with MS undergoing IRT present a distinct gene expression signature, and we delineated the associated biological processes and gene interactions. Moreover, we identified genes whose expression may be an indicator of relapse risk, but further studies are needed to verify their potential value as biomarkers.

Sections du résumé

BACKGROUND BACKGROUND
Multiple sclerosis (MS) is a chronic, inflammatory and neurodegenerative disease that leads to irreversible damage to the brain and spinal cord. The goal of so-called "immune reconstitution therapies" (IRTs) is to achieve long-term disease remission by eliminating a pathogenic immune repertoire through intense short-term immune cell depletion. B cells are major targets for effective immunotherapy in MS.
OBJECTIVES OBJECTIVE
The aim of this study was to analyze the gene expression pattern of B cells before and during IRT (i.e., before B-cell depletion and after B-cell repopulation) to better understand the therapeutic effects and to identify biomarker candidates of the clinical response to therapy.
METHODS METHODS
B cells were obtained from blood samples of patients with relapsing-remitting MS (n = 50), patients with primary progressive MS (n = 13) as well as healthy controls (n = 28). The patients with relapsing MS received either monthly infusions of natalizumab (n = 29) or a pulsed IRT with alemtuzumab (n = 15) or cladribine (n = 6). B-cell subpopulation frequencies were determined by flow cytometry, and transcriptome profiling was performed using Clariom D arrays. Differentially expressed genes (DEGs) between the patient groups and controls were examined with regard to their functions and interactions. We also tested for differences in gene expression between patients with and without relapse following alemtuzumab administration.
RESULTS RESULTS
Patients treated with alemtuzumab or cladribine showed on average a > 20% lower proportion of memory B cells as compared to before IRT. This was paralleled by profound transcriptome shifts, with > 6000 significant DEGs after adjustment for multiple comparisons. The top DEGs were found to regulate apoptosis, cell adhesion and RNA processing, and the most highly connected nodes in the network of encoded proteins were ESR2, PHB and RC3H1. Higher mRNA levels of BCL2, IL13RA1 and SLC38A11 were seen in patients with relapse despite IRT, though these differences did not pass the false discovery rate correction.
CONCLUSIONS CONCLUSIONS
We show that B cells circulating in the blood of patients with MS undergoing IRT present a distinct gene expression signature, and we delineated the associated biological processes and gene interactions. Moreover, we identified genes whose expression may be an indicator of relapse risk, but further studies are needed to verify their potential value as biomarkers.

Identifiants

pubmed: 37533036
doi: 10.1186/s12974-023-02859-x
pii: 10.1186/s12974-023-02859-x
pmc: PMC10394872
doi:

Substances chimiques

Cladribine 47M74X9YT5
Alemtuzumab 3A189DH42V
RC3H1 protein, human 0
RNA-Binding Proteins 0
Ubiquitin-Protein Ligases EC 2.3.2.27

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

181

Informations de copyright

© 2023. The Author(s).

Références

J Immunol. 2009 Jun 15;182(12):7482-9
pubmed: 19494271
Clin Exp Immunol. 2022 Dec 31;210(3):217-229
pubmed: 36380692
Mult Scler. 2020 Dec;26(14):1816-1821
pubmed: 33174475
Ther Adv Neurol Disord. 2019 Mar 28;12:1756286419836913
pubmed: 30944586
Front Physiol. 2020 Jan 21;10:1592
pubmed: 32038282
Neurol Neuroimmunol Neuroinflamm. 2019 Oct 29;7(1):
pubmed: 31662412
Front Mol Neurosci. 2020 Jun 30;13:117
pubmed: 32694982
Nucleic Acids Res. 2020 Feb 28;48(4):1627-1651
pubmed: 31828325
Clin Immunol. 2016 Dec;173:124-132
pubmed: 27717695
J Clin Invest. 2009 Jul;119(7):2052-61
pubmed: 19546505
Nat Rev Dis Primers. 2018 Nov 8;4(1):43
pubmed: 30410033
Eur J Immunol. 2021 Dec;51(12):2708-3145
pubmed: 34910301
CNS Drugs. 2017 Jan;31(1):33-50
pubmed: 27882532
Bioinformatics. 2016 Aug 15;32(16):2473-80
pubmed: 27153628
Nat Rev Neurol. 2021 Jul;17(7):399-414
pubmed: 34075251
Front Oncol. 2020 Oct 23;10:587386
pubmed: 33194742
J Immunol. 2013 Jan 15;190(2):723-36
pubmed: 23241883
Biochem Biophys Res Commun. 2007 Dec 21;364(3):589-94
pubmed: 17964547
Exp Mol Med. 2020 Sep;52(9):1428-1442
pubmed: 32929225
Nat Rev Neurol. 2017 Jan;13(1):25-36
pubmed: 27934854
Nat Rev Neurol. 2020 Jan;16(1):56-62
pubmed: 31649335
Am J Med. 2020 Dec;133(12):1380-1390.e2
pubmed: 32682869
Mult Scler Relat Disord. 2021 Jul;52:102987
pubmed: 33984651
Exp Ther Med. 2018 Aug;16(2):1477-1482
pubmed: 30116397
Mult Scler. 2021 Oct;27(12):1852-1863
pubmed: 33467978
Immunol Cell Biol. 2022 Jul;100(6):453-467
pubmed: 35416319
JAMA Neurol. 2017 Aug 1;74(8):961-969
pubmed: 28604916
J Immunotoxicol. 2016 May;13(3):274-85
pubmed: 26507681
Science. 2022 Jan 21;375(6578):296-301
pubmed: 35025605
Neurol Neuroimmunol Neuroinflamm. 2017 Jun 05;4(4):e360
pubmed: 28626781
J Neurol Neurosurg Psychiatry. 2021 Sep;92(9):1007-1013
pubmed: 33712515
Biochim Biophys Acta. 2014 Feb;1843(2):398-435
pubmed: 24188867
J Neuroinflammation. 2020 Jun 15;17(1):189
pubmed: 32539719
Nat Struct Mol Biol. 2014 Aug;21(8):679-85
pubmed: 25026078
Ann Neurol. 2021 Jan;89(1):13-23
pubmed: 33091175
BMC Genomics. 2017 Jun 6;18(1):443
pubmed: 28587590
Front Immunol. 2019 Jul 11;10:1564
pubmed: 31354720
Bioinformatics. 2007 Jan 15;23(2):257-8
pubmed: 17098774
Genes Dev. 2017 Jan 1;31(1):59-71
pubmed: 28115465
Lancet Neurol. 2018 Feb;17(2):162-173
pubmed: 29275977
Clin Exp Immunol. 2010 Nov;162(2):271-9
pubmed: 20854328
Brain. 2022 Jun 3;145(5):1711-1725
pubmed: 35661859
Cell Death Dis. 2010 Jun 03;1:e48
pubmed: 21364654
Curr Top Microbiol Immunol. 2014;380:191-212
pubmed: 25004819
J Neurol. 2018 May;265(5):1199-1209
pubmed: 29550884
Nucleic Acids Res. 2018 Jul 2;46(W1):W60-W64
pubmed: 29912392
J Immunol. 2007 May 15;178(10):6092-9
pubmed: 17475834
Biomolecules. 2021 Oct 13;11(10):
pubmed: 34680143
Front Immunol. 2018 Jun 07;9:888
pubmed: 29930549
Mult Scler Relat Disord. 2019 May;30:176-186
pubmed: 30785074
Neurology. 2014 Jul 15;83(3):278-86
pubmed: 24871874
CNS Drugs. 2020 Sep;34(9):973-988
pubmed: 32710396
Elife. 2019 Mar 29;8:
pubmed: 30924770
Cell Res. 2018 Mar;28(3):307-322
pubmed: 29360106
Neurology. 1983 Nov;33(11):1444-52
pubmed: 6685237
J Comp Eff Res. 2021 Apr;10(6):495-507
pubmed: 33620251
Int J Mol Sci. 2015 Jul 20;16(7):16414-39
pubmed: 26204829
Autoimmun Rev. 2020 Apr;19(4):102492
pubmed: 32062028
N Engl J Med. 2010 Feb 4;362(5):416-26
pubmed: 20089960
Mult Scler Relat Disord. 2022 Aug;64:103931
pubmed: 35690010
J Cell Mol Med. 2006 Apr-Jun;10(2):353-63
pubmed: 16796804
Mult Scler. 2022 Jan;28(1):111-120
pubmed: 33969750
Clin Exp Immunol. 2020 Dec;202(3):363-378
pubmed: 32654132
Genome Res. 2003 Nov;13(11):2498-504
pubmed: 14597658
Mult Scler. 2020 Sep;26(10):1172-1186
pubmed: 31237799
PLoS One. 2012;7(9):e45185
pubmed: 23024807
Immunol Lett. 2021 Sep;237:42-57
pubmed: 34186155
Neurol Neuroimmunol Neuroinflamm. 2022 Nov 21;10(1):
pubmed: 36411081
J Neuroinflammation. 2019 Nov 16;16(1):228
pubmed: 31733652
Cell. 2018 Sep 20;175(1):85-100.e23
pubmed: 30173916
Lancet. 2012 Nov 24;380(9856):1829-39
pubmed: 23122650
Cold Spring Harb Perspect Biol. 2022 Jun 14;14(6):
pubmed: 35701220
Ther Adv Neurol Disord. 2021 Aug 18;14:17562864211039648
pubmed: 34422112
J Neurol Neurosurg Psychiatry. 2020 Jul;91(7):681-686
pubmed: 32371533
FEBS J. 2022 Jul;289(13):3630-3641
pubmed: 33929081
J Exp Med. 2021 Jul 5;218(7):
pubmed: 33961028
Front Genet. 2021 Feb 09;12:627464
pubmed: 33633788
Pflugers Arch. 2014 Jan;466(1):155-72
pubmed: 24193407
Scand J Immunol. 2015 Sep;82(3):254-61
pubmed: 26119182
Virol J. 2011 Feb 25;8:84
pubmed: 21352549
Cytometry A. 2016 Jun;89(6):543-64
pubmed: 27144459
Front Immunol. 2023 Mar 07;14:1133967
pubmed: 36960053
Nat Commun. 2015 Feb 20;6:6253
pubmed: 25697406
Nat Rev Microbiol. 2023 Jan;21(1):51-64
pubmed: 35931816
Oxid Med Cell Longev. 2022 Jul 8;2022:7494863
pubmed: 35847581
Proc Natl Acad Sci U S A. 2011 Mar 1;108(9):3707-12
pubmed: 21317363
Lancet Neurol. 2021 Jun;20(6):470-483
pubmed: 33930317
Genome Biol. 2022 Jun 7;23(1):127
pubmed: 35672799
Cell Rep. 2019 Feb 5;26(6):1627-1640.e7
pubmed: 30726743
Nat Rev Neurol. 2016 Apr;12(4):217-33
pubmed: 26943779
Neurology. 2014 Jun 17;82(24):2158-64
pubmed: 24838790
J Neurol Sci. 2002 Sep 15;201(1-2):45-51
pubmed: 12163193
Cells. 2021 Nov 10;10(11):
pubmed: 34831335
Front Immunol. 2019 Oct 15;10:2061
pubmed: 31681256
J Clin Immunol. 2010 Jan;30(1):99-105
pubmed: 19763798
Eur J Immunol. 2012 Mar;42(3):790-8
pubmed: 22144343
Drugs. 2022 Feb;82(3):323-334
pubmed: 35192158
JAMA. 2021 Feb 23;325(8):765-779
pubmed: 33620411
N Engl J Med. 2017 Jan 19;376(3):209-220
pubmed: 28002688
Ann Clin Transl Neurol. 2020 Nov;7(11):2199-2212
pubmed: 33002321
Front Immunol. 2022 Oct 28;13:931831
pubmed: 36405756
EBioMedicine. 2022 Jun;80:104052
pubmed: 35561450
EBioMedicine. 2017 Feb;16:41-50
pubmed: 28161400
Nat Rev Neurol. 2017 Oct;13(10):573-574
pubmed: 28884753

Auteurs

Michael Hecker (M)

Division of Neuroimmunology, Department of Neurology, Rostock University Medical Center, Gehlsheimer Str. 20, 18147, Rostock, Germany. michael.hecker@rocketmail.com.

Brit Fitzner (B)

Division of Neuroimmunology, Department of Neurology, Rostock University Medical Center, Gehlsheimer Str. 20, 18147, Rostock, Germany.

Nina Boxberger (N)

Division of Neuroimmunology, Department of Neurology, Rostock University Medical Center, Gehlsheimer Str. 20, 18147, Rostock, Germany.

Elena Putscher (E)

Division of Neuroimmunology, Department of Neurology, Rostock University Medical Center, Gehlsheimer Str. 20, 18147, Rostock, Germany.

Robby Engelmann (R)

Clinic III (Hematology, Oncology and Palliative Medicine), Special Hematology Laboratory, Rostock University Medical Center, Ernst-Heydemann-Str. 6, 18057, Rostock, Germany.

Wendy Bergmann (W)

Core Facility for Cell Sorting and Cell Analysis, Rostock University Medical Center, Schillingallee 70, 18057, Rostock, Germany.

Michael Müller (M)

Core Facility for Cell Sorting and Cell Analysis, Rostock University Medical Center, Schillingallee 70, 18057, Rostock, Germany.

Isis Ludwig-Portugall (I)

Miltenyi Biotec B.V. & Co. KG, Robert-Koch-Str. 1, 17166, Teterow, Germany.

Margit Schwartz (M)

Division of Neuroimmunology, Department of Neurology, Rostock University Medical Center, Gehlsheimer Str. 20, 18147, Rostock, Germany.

Stefanie Meister (S)

Division of Neuroimmunology, Department of Neurology, Rostock University Medical Center, Gehlsheimer Str. 20, 18147, Rostock, Germany.

Ales Dudesek (A)

Division of Neuroimmunology, Department of Neurology, Rostock University Medical Center, Gehlsheimer Str. 20, 18147, Rostock, Germany.

Alexander Winkelmann (A)

Division of Neuroimmunology, Department of Neurology, Rostock University Medical Center, Gehlsheimer Str. 20, 18147, Rostock, Germany.

Dirk Koczan (D)

Institute of Immunology, Rostock University Medical Center, Schillingallee 70, 18057, Rostock, Germany.

Uwe Klaus Zettl (UK)

Division of Neuroimmunology, Department of Neurology, Rostock University Medical Center, Gehlsheimer Str. 20, 18147, Rostock, Germany.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH