Cargando…
Transcriptomic profile comparison of monocytes from rheumatoid arthritis patients in treatment with methotrexate, anti-TNFa, abatacept or tocilizumab
It is well documented that patients affected by rheumatoid arthritis (RA) have distinct susceptibility to the different biologic DMARDs available on the market, probably because of the many facets of the disease. Monocytes are deeply involved in the pathogenesis of RA and we therefore evaluated and...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9987802/ https://www.ncbi.nlm.nih.gov/pubmed/36877690 http://dx.doi.org/10.1371/journal.pone.0282564 |
_version_ | 1784901454277902336 |
---|---|
author | Talmon, Maria Percio, Marcella Obeng, Joyce Afrakoma Ruffinatti, Federico A. Sola, Daniele Sainaghi, Pier Paolo Bellis, Emanuela Cusinato, Stefano Ianniello, Aurora Fresu, Luigia G. |
author_facet | Talmon, Maria Percio, Marcella Obeng, Joyce Afrakoma Ruffinatti, Federico A. Sola, Daniele Sainaghi, Pier Paolo Bellis, Emanuela Cusinato, Stefano Ianniello, Aurora Fresu, Luigia G. |
author_sort | Talmon, Maria |
collection | PubMed |
description | It is well documented that patients affected by rheumatoid arthritis (RA) have distinct susceptibility to the different biologic DMARDs available on the market, probably because of the many facets of the disease. Monocytes are deeply involved in the pathogenesis of RA and we therefore evaluated and compared the transcriptomic profile of monocytes isolated from patients on treatment with methotrexate alone or in combination with tocilizumab, anti-TNFα or abatacept and from healthy donors. Whole-genome transcriptomics yielded a list of regulated genes by Rank Product statistics and DAVID was then used for functional annotation enrichment analysis. Last, data were validated by qRT-PCR. Abatacept, tocilizumab and anti-TNFa cohorts were separately compared with methotrexate, leading to the identification of 78, 6, and 436 differentially expressed genes, respectively. The upper-most ranked genes were related to inflammatory processes and immune responses. Such an approach draws the genomic profile of monocytes in treated RA patients and lays the basis for finding gene signature for tailored therapeutic choices. |
format | Online Article Text |
id | pubmed-9987802 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-99878022023-03-07 Transcriptomic profile comparison of monocytes from rheumatoid arthritis patients in treatment with methotrexate, anti-TNFa, abatacept or tocilizumab Talmon, Maria Percio, Marcella Obeng, Joyce Afrakoma Ruffinatti, Federico A. Sola, Daniele Sainaghi, Pier Paolo Bellis, Emanuela Cusinato, Stefano Ianniello, Aurora Fresu, Luigia G. PLoS One Research Article It is well documented that patients affected by rheumatoid arthritis (RA) have distinct susceptibility to the different biologic DMARDs available on the market, probably because of the many facets of the disease. Monocytes are deeply involved in the pathogenesis of RA and we therefore evaluated and compared the transcriptomic profile of monocytes isolated from patients on treatment with methotrexate alone or in combination with tocilizumab, anti-TNFα or abatacept and from healthy donors. Whole-genome transcriptomics yielded a list of regulated genes by Rank Product statistics and DAVID was then used for functional annotation enrichment analysis. Last, data were validated by qRT-PCR. Abatacept, tocilizumab and anti-TNFa cohorts were separately compared with methotrexate, leading to the identification of 78, 6, and 436 differentially expressed genes, respectively. The upper-most ranked genes were related to inflammatory processes and immune responses. Such an approach draws the genomic profile of monocytes in treated RA patients and lays the basis for finding gene signature for tailored therapeutic choices. Public Library of Science 2023-03-06 /pmc/articles/PMC9987802/ /pubmed/36877690 http://dx.doi.org/10.1371/journal.pone.0282564 Text en © 2023 Talmon et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Talmon, Maria Percio, Marcella Obeng, Joyce Afrakoma Ruffinatti, Federico A. Sola, Daniele Sainaghi, Pier Paolo Bellis, Emanuela Cusinato, Stefano Ianniello, Aurora Fresu, Luigia G. Transcriptomic profile comparison of monocytes from rheumatoid arthritis patients in treatment with methotrexate, anti-TNFa, abatacept or tocilizumab |
title | Transcriptomic profile comparison of monocytes from rheumatoid arthritis patients in treatment with methotrexate, anti-TNFa, abatacept or tocilizumab |
title_full | Transcriptomic profile comparison of monocytes from rheumatoid arthritis patients in treatment with methotrexate, anti-TNFa, abatacept or tocilizumab |
title_fullStr | Transcriptomic profile comparison of monocytes from rheumatoid arthritis patients in treatment with methotrexate, anti-TNFa, abatacept or tocilizumab |
title_full_unstemmed | Transcriptomic profile comparison of monocytes from rheumatoid arthritis patients in treatment with methotrexate, anti-TNFa, abatacept or tocilizumab |
title_short | Transcriptomic profile comparison of monocytes from rheumatoid arthritis patients in treatment with methotrexate, anti-TNFa, abatacept or tocilizumab |
title_sort | transcriptomic profile comparison of monocytes from rheumatoid arthritis patients in treatment with methotrexate, anti-tnfa, abatacept or tocilizumab |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9987802/ https://www.ncbi.nlm.nih.gov/pubmed/36877690 http://dx.doi.org/10.1371/journal.pone.0282564 |
work_keys_str_mv | AT talmonmaria transcriptomicprofilecomparisonofmonocytesfromrheumatoidarthritispatientsintreatmentwithmethotrexateantitnfaabataceptortocilizumab AT perciomarcella transcriptomicprofilecomparisonofmonocytesfromrheumatoidarthritispatientsintreatmentwithmethotrexateantitnfaabataceptortocilizumab AT obengjoyceafrakoma transcriptomicprofilecomparisonofmonocytesfromrheumatoidarthritispatientsintreatmentwithmethotrexateantitnfaabataceptortocilizumab AT ruffinattifedericoa transcriptomicprofilecomparisonofmonocytesfromrheumatoidarthritispatientsintreatmentwithmethotrexateantitnfaabataceptortocilizumab AT soladaniele transcriptomicprofilecomparisonofmonocytesfromrheumatoidarthritispatientsintreatmentwithmethotrexateantitnfaabataceptortocilizumab AT sainaghipierpaolo transcriptomicprofilecomparisonofmonocytesfromrheumatoidarthritispatientsintreatmentwithmethotrexateantitnfaabataceptortocilizumab AT bellisemanuela transcriptomicprofilecomparisonofmonocytesfromrheumatoidarthritispatientsintreatmentwithmethotrexateantitnfaabataceptortocilizumab AT cusinatostefano transcriptomicprofilecomparisonofmonocytesfromrheumatoidarthritispatientsintreatmentwithmethotrexateantitnfaabataceptortocilizumab AT iannielloaurora transcriptomicprofilecomparisonofmonocytesfromrheumatoidarthritispatientsintreatmentwithmethotrexateantitnfaabataceptortocilizumab AT fresuluigiag transcriptomicprofilecomparisonofmonocytesfromrheumatoidarthritispatientsintreatmentwithmethotrexateantitnfaabataceptortocilizumab |