Article ; Online: Molecular pathology of human knee arthrofibrosis defined by RNA sequencing.
2020 Volume 112, Issue 4, Page(s) 2703–2712
Abstract: Arthrofibrosis is an abnormal histopathologic response, is debilitating for patients, and poses a substantial unsolved clinical challenge. This study characterizes molecular biomarkers and regulatory pathways associated with arthrofibrosis by comparing ... ...
Abstract | Arthrofibrosis is an abnormal histopathologic response, is debilitating for patients, and poses a substantial unsolved clinical challenge. This study characterizes molecular biomarkers and regulatory pathways associated with arthrofibrosis by comparing fibrotic and non-fibrotic human knee tissue. The fibrotic group encompasses 4 patients undergoing a revision total knee arthroplasty (TKA) for arthrofibrosis (RTKA-A) while the non-fibrotic group includes 4 patients undergoing primary TKA for osteoarthritis (PTKA) and 4 patients undergoing revision TKA for non-arthrofibrotic and non-infectious etiologies (RTKA-NA). RNA-sequencing of posterior capsule specimens revealed differences in gene expression between each patient group by hierarchical clustering, principal component analysis, and correlation analyses. Multiple differentially expressed genes (DEGs) were defined in RTKA-A versus PTKA patients (i.e., 2059 up-regulated and 1795 down-regulated genes) and RTKA-A versus RTKA-NA patients (i.e., 3255 up-regulated and 3683 down-regulated genes). Our findings define molecular and pathological markers of arthrofibrosis, as well as novel potential targets for risk profiling, early diagnosis and pharmacological treatment of patients. |
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MeSH term(s) | Arthroplasty, Replacement, Knee ; Fibrosis ; Gene Expression Regulation ; Gene Ontology ; Humans ; Knee Joint/metabolism ; Knee Joint/pathology ; Knee Joint/surgery ; RNA-Seq ; Reoperation ; Transcriptome |
Language | English |
Publishing date | 2020-03-05 |
Publishing country | United States |
Document type | Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't |
ZDB-ID | 356334-0 |
ISSN | 1089-8646 ; 0888-7543 |
ISSN (online) | 1089-8646 |
ISSN | 0888-7543 |
DOI | 10.1016/j.ygeno.2020.03.004 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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