Chlamydia trachomatis Whole-Proteome Microarray Analysis of The Netherlands Chlamydia Cohort Study

Chlamydia trachomatis (Ct) whole-proteome microarrays were utilized to identify antibody patterns associated with infection; pelvic inflammatory disease (PID), tubal factor infertility, chronic pelvic pain (CPP) and ectopic pregnancy in a subsample of the Netherlands Chlamydia cohort study. Serum pools were analyzed on whole-proteome arrays. The 121 most reactive antigens identified during whole-proteome arrays were selected for further analysis with minimized microarrays that allowed for single sera analysis. From the 232 single sera; 145 (62.5%) serum samples were reactive for at least one a... Mehr ...

Verfasser: Hufnagel, Katrin
Hoenderboom, Bernice
Harmel, Christoph
Rohland, Juliane K.
van Benthem, Birgit H. B.
Morre, Servaas A.
Waterboer, Tim
Dokumenttyp: Artikel
Erscheinungsdatum: 2019
Reihe/Periodikum: Hufnagel , K , Hoenderboom , B , Harmel , C , Rohland , J K , van Benthem , B H B , Morre , S A & Waterboer , T 2019 , ' Chlamydia trachomatis Whole-Proteome Microarray Analysis of The Netherlands Chlamydia Cohort Study ' , Microorganisms , vol. 7 , no. 12 , 703 . https://doi.org/10.3390/microorganisms7120703
Schlagwörter: Chlamydia trachomatis / whole-proteome microarrays / serology / antigen identification / LINKED-IMMUNOSORBENT-ASSAY / ANTIBODY / WOMEN
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-28775488
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://cris.maastrichtuniversity.nl/en/publications/e66b901b-156e-4785-9d9d-e80e20a04d53

Chlamydia trachomatis (Ct) whole-proteome microarrays were utilized to identify antibody patterns associated with infection; pelvic inflammatory disease (PID), tubal factor infertility, chronic pelvic pain (CPP) and ectopic pregnancy in a subsample of the Netherlands Chlamydia cohort study. Serum pools were analyzed on whole-proteome arrays. The 121 most reactive antigens identified during whole-proteome arrays were selected for further analysis with minimized microarrays that allowed for single sera analysis. From the 232 single sera; 145 (62.5%) serum samples were reactive for at least one antigen. To discriminate between positive and negative serum samples; we created a panel of in total 18 antigens which identified 96% of all microarray positive samples. Antigens CT_858; CT_813 and CT_142 were most reactive. Comparison of antibody reactivity's among women with and without Ct related sequelae revealed that the reactivity of CT_813 and CT_142 was less common among women with PID compared to women without (29.0% versus 58.6%, p = 0.005 and 25.8% versus 50.6%, p = 0.017 respectively). CT_858 was less common among CPP cases compared to controls (33.3% versus 58.6; p = 0.028). Using a whole-proteome array to select antigens for minimized arrays allows for the identification of novel informative antigens as general infection markers or disease associated antigens