Dataset Information

Metabolite and Lipid Profiling of Biobank Plasma Samples Collected Prior to Onset of Rheumatoid Arthritis.

ABSTRACT:

Objective

The early diagnosis of rheumatoid arthritis (RA) is desirable to install treatment to prevent disease progression and joint destruction. Autoantibodies and immunological markers pre-date the onset of symptoms by years albeit not all patients will present these factors, even at disease onset. Additional biomarkers would be of high value to improve early diagnosis and understanding of the process, leading to disease development.

Methods

Plasma samples donated before the onset of RA were identified in the Biobank of Northern Sweden, a collection within national health survey programs. Thirty samples from pre-symptomatic individuals and nineteen from controls were subjected to liquid chromatography-mass spectrometry (LCMS) metabolite and lipid profiling. Lipid and metabolite profiles discriminating samples from pre-symptomatic individuals from controls were identified after univariate and multivariate OPLS-DA based analyses.

Results

The OPLS-DA models including pre-symptomatic individuals and controls identified profiles differentiating between the groups that was characterized by lower levels of acyl-carnitines and fatty acids, with higher levels of lysophospatidylcholines (LPCs) and metabolites from tryptophan metabolism in pre-symptomatic individuals compared with controls. Lipid profiling showed that the majority of phospholipids and sphingomyelins were at higher levels in pre-symptomatic individuals in comparison with controls.

Conclusions

Our LCMS based approach demonstrated that there are changes in small molecule and lipid profiles detectable in plasma samples collected from the pre-symptomatic individuals who subsequently developed RA, which point to an up-regulation of levels of lysophospatidylcholines, and of tryptophan metabolism, perturbation of fatty acid beta-oxidation and increased oxidative stress in pre-symptomatic individuals' years before onset of symptoms.

SUBMITTER: Surowiec I

PROVIDER: S-EPMC5068821 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

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Publications

Metabolite and Lipid Profiling of Biobank Plasma Samples Collected Prior to Onset of Rheumatoid Arthritis.

Surowiec Izabella I Ärlestig Lisbeth L Rantapää-Dahlqvist Solbritt S Trygg Johan J

PloS one 20161018 10

<h4>Objective</h4>The early diagnosis of rheumatoid arthritis (RA) is desirable to install treatment to prevent disease progression and joint destruction. Autoantibodies and immunological markers pre-date the onset of symptoms by years albeit not all patients will present these factors, even at disease onset. Additional biomarkers would be of high value to improve early diagnosis and understanding of the process, leading to disease development.<h4>Methods</h4>Plasma samples donated before the on ...[more]

PMID: 27755546

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Project description:BACKGROUND:Anti-citrullinated protein antibodies (ACPA) are central to rheumatoid arthritis (RA) pathogenesis and may develop at inflamed mucosa. We investigated whether asthma, a disease of airway mucosal inflammation, was associated with elevated ACPA before RA diagnosis. METHODS:We performed a nested case-control study among women in two prospective cohorts, the Nurses' Health Study (NHS; 1976-2014) and NHSII (1989-2015). Blood was obtained on a subset (NHS: 1989-1990; NHSII: 1996-1999). Cases met 1987 ACR or 2010 ACR/EULAR RA criteria by medical record review and were classified as seropositive (ACPA+ or rheumatoid factor positivity) or seronegative by clinical laboratory testing at diagnosis. We identified RA cases with blood drawn before the date of RA diagnosis (index date), matching each to three controls by age, cohort, year, time from blood draw to index date, and menopause. Pre-RA ACPA elevation for cases was defined as >99th percentile of the control distribution on a research assay composed of autoantibodies targeting citrullinated protein epitopes or positivity on the second-generation commercial assay for cyclic citrullinated peptide. Asthma status and covariates were obtained through biennial questionnaires before blood draw. Conditional logistic regression estimated ORs and 95%CIs for RA by pre-RA ACPA and clinical serostatus, adjusted for matching factors, smoking pack-years, passive smoking, and body mass index (BMI). RESULTS:We identified 284 incident RA cases and 849 matched controls; mean age at the index date was 61.2?years (SD 10.1). Blood was drawn 9.7?years (mean; SD 5.8) before the index date. We identified 96 (33.8%) RA cases with elevated pre-RA ACPA. At blood draw, 17.7% of pre-RA ACPA+ cases and 6.3% of matched controls (p?=?0.0008) reported clinician-diagnosed asthma. After adjusting for matching factors, smoking pack-years, passive smoking, and BMI, asthma was significantly associated with pre-RA ACPA+ RA (OR 3.57, 95%CI 1.58,8.04). Asthma was not associated with overall RA (OR 1.45, 95%CI 0.91,2.31), but was significantly associated with seropositive RA (OR 1.79, 95%CI 1.01,3.18). CONCLUSIONS:Asthma was strongly associated with ACPA elevation in blood drawn prior to RA diagnosis, independent of smoking. Chronic mucosal airway inflammation may contribute to ACPA development and RA pathogenesis.

Project description:Lower levels of low-density lipoprotein (LDL) cholesterol may be associated with increased cardiovascular (CV) risk in rheumatoid arthritis (RA). This study was undertaken to determine whether the complex relationship between levels of LDL and high-density lipoprotein (HDL) cholesterol and CV risk is different in RA patients as compared to non-RA controls.Using data from a US health insurance plan (2003-2012), we conducted a cohort study that included patients with RA and non-RA control subjects matched with regard to age, sex, and index date. The nonlinearity of associations between lipid levels and incidence of major adverse CV events (MACE) was tested. We used multivariable Cox proportional hazards regression models to examine for an interaction between lipid levels and RA status in relation to the risk of MACE, after adjustment for CV risk factors.In total, 16,085 RA patients and 48,499 non-RA controls were studied. The mean age was 52.6 years and 78.6% were women. The relationship between LDL cholesterol levels and incidence of MACE was nonlinear and similar between RA patients and non-RA controls (P for interaction?=?0.72). No significant increase in CV risk was observed between the lowest quintile of LDL cholesterol levels (?91.0 mg/dl) and the second, third, or fourth quintiles, whereas the highest quintile (>190.0 mg/dl) conveyed a 40% increase in risk of MACE (hazard ratio [HR] 1.40, 95% confidence interval [95% CI] 1.17-1.68). The relationship between HDL cholesterol levels and incidence of MACE was also nonlinear and similar between RA patients and non-RA controls (P for interaction?=?0.39). Compared to the lowest quintile of HDL cholesterol levels, each successive quintile was associated with a reduced risk of MACE (HR 0.45, 95% CI 0.48-0.72 for lowest quintile [?43.0 mg/dl] versus highest quintile [>71.0 mg/dl]).The complex relationship between LDL cholesterol levels, HDL cholesterol levels, and risk of MACE was nonlinear in RA patients and also not statistically significantly different from that in an age- and sex-matched non-RA cohort.

Dataset Information

Metabolite and Lipid Profiling of Biobank Plasma Samples Collected Prior to Onset of Rheumatoid Arthritis.

Objective

Methods

Results

Conclusions

Publications

Metabolite and Lipid Profiling of Biobank Plasma Samples Collected Prior to Onset of Rheumatoid Arthritis.

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