Dynamic changes of MMP-9 plasma levels correlate with JCV reactivation and immune activation in natalizumab-treated multiple sclerosis patients.
Marco IannettaMaria Antonella ZingaropoliTiziana LatronicoIlaria PatiSimona PontecorvoCarla PreziosoValeria PietropaoloAntonio CorteseMarco FrontoniClaudia D'AgostinoAda FranciaVincenzo VulloClaudio Maria MastroianniGrazia Maria LiuzziMaria Rosa CiardiPublished in: Scientific reports (2019)
The aim of the study was to investigate the changes of matrix metalloproteinase (MMP)-2 and MMP-9 plasma levels during natalizumab treatment and their correlation with JC virus (JCV) reactivation and T-lymphocyte phenotypic modifications in peripheral blood samples from 34 relapsing-remitting multiple sclerosis (RRMS) patients. MMP-9 levels were assessed by zymography in plasma samples. JCV-DNA was detected through quantitative real time PCR in plasma samples. T-lymphocyte phenotype was assessed with flow cytometry. MMP-9 plasma levels resulted increased from 12 to 24 natalizumab infusions. Stratifying plasma samples according to JCV-DNA detection, MMP-9 plasma levels were significantly increased in JCV-DNA positive than JCV-DNA negative samples. MMP-9 plasma levels resulted positively correlated with JCV viral load. CD4 immune senescence, CD8 immune activation and CD8 effector percentages were positively correlated to MMP-9 plasma levels, whereas a negative correlation between CD8 naïve percentages and MMP-9 plasma levels was found. Our data indicate an increase of MMP-9 plasma levels between 12 and 24 natalizumab infusions and a correlation with JCV-DNA detection in plasma, T-lymphocyte immune activation and senescence. These findings could contribute to understand PML pathogenesis under natalizumab treatment, suggesting a potential role of MMP-9 as a predictive marker of PML in RRMS patients.
Keyphrases
- multiple sclerosis
- cell migration
- end stage renal disease
- peripheral blood
- ejection fraction
- newly diagnosed
- chronic kidney disease
- white matter
- real time pcr
- single molecule
- cell free
- flow cytometry
- risk assessment
- patient reported outcomes
- rheumatoid arthritis
- machine learning
- high resolution
- big data
- quantum dots
- deep learning
- artificial intelligence
- disease activity