Serum anti-chlamydial IgG is not associated with a lowered rate of ascending or repeat infection. Identification of factors associated with ascending infection and increased risk of incident infection provide guidance for targeted screening of women at increased risk for sequelae.
Sexually transmitted infections with and/or and rates of pelvic inflammatory disease (PID) in women continue to rise, with reinfection being common because of poor adaptive immunity. Diagnosis remains imprecise, and pathogenesis data are derived primarily from monoinfection of mice with or By comparing blood mRNA responses of women with - and/or-induced PID and histologic endometritis with those from women with and/or infection limited to their cervix and asymptomatic uninfected women determined via microarray, we discovered important pathogenic mechanisms in PID and response differences that provide a pathway to biomarker discovery. Women with - and/or-induced PID exhibit overexpression of myeloid cell genes and suppression of protein synthesis, mitochondrial oxidative phosphorylation, and T cell-specific genes. Coinfected women exhibited the greatest activation of cell death pathways and suppression of responses essential for adaptive immunity. Women solely infected with expressed elevated levels of type I and type II IFN genes, and enhanced type I IFN-induced chemokines in cervical secretions were associated with ascension of to the endometrium. Blood microarrays reveal discrete pathobiological endotypes in women with PID that are driven by pathogen invasion of the upper genital tract.
Background. Chlamydia trachomatis can cause reproductive morbidities after ascending to the upper genital tract of women, and repeated infection can lead to worse disease. Data related to protective immune responses at the cervical mucosa that could limit chlamydial infection to the cervix and/or prevent reinfection inform vaccine approaches and biomarkers of risk. Methods. We measured 48 cytokines in cervical secretions from women having chlamydial cervical infection alone (n = 92) or both cervical and endometrial infection (n = 68). Univariable regression identified cytokines associated with differential odds of endometrial infection and reinfection risk, and multivariable stepwise regression identified cytokine ratios associated with differential risk. Results. Elevated interleukin (IL) 15/CXCL10 (odds ratio [OR], 0.55 [95% confidence interval {CI}, .37-.78]), IL-16/tumor necrosis factor-α (OR, 0.66 [95% CI, .45-.93]), and CXCL14/IL-17A (OR, 0.73 [95% CI, .54-.97]) cytokine ratios were significantly (P ≤ .05) associated with decreased odds of endometrial infection. A higher Flt-3L/IL-14 ratio was significantly (P = .001) associated with a decreased risk of reinfection (hazard ratio, 0.71 [95% CI, .58-.88]). Conclusions. Cytokines involved in humoral, type I interferon, and T-helper (Th) 17 responses were associated with susceptibility to C. trachomatis, whereas cytokines involved in Th1 polarization, recruitment, and activation were associated with protection against ascension and reinfection.
Summary
Tens of thousands of reproducibly identified GWAS (Genome-Wide Association Studies) variants, with the vast majority falling in non-coding regions resulting in no eventual protein products, call urgently for mechanistic interpretations. Although numerous methods exist, there are few, if any methods, for simultaneously testing the mediation effects of multiple correlated SNPs via some mediator (e.g. the expression of a gene in the neighborhood) on phenotypic outcome. We propose multi-SNP mediation intersection-union test (SMUT) to fill in this methodological gap. Our extensive simulations demonstrate the validity of SMUT as well as substantial, up to 92%, power gains over alternative methods. In addition, SMUT confirmed known mediators in a real dataset of Finns for plasma adiponectin level, which were missed by many alternative methods. We believe SMUT will become a useful tool to generate mechanistic hypotheses underlying GWAS variants, facilitating functional follow-up.
Availability and implementation
The R package SMUT is publicly available from CRAN at https://CRAN.R-project.org/package=SMUT.
Supplementary information
Supplementary data are available at Bioinformatics online.
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