Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Meta-Analysis
. 2023 Oct 5;25(1):192.
doi: 10.1186/s13075-023-03180-x.

Assessment of anti-malondialdehyde-acetaldehyde antibody frequencies in rheumatoid arthritis with new data from two independent cohorts, meta-analysis, and meta-regression

Affiliations
Meta-Analysis

Assessment of anti-malondialdehyde-acetaldehyde antibody frequencies in rheumatoid arthritis with new data from two independent cohorts, meta-analysis, and meta-regression

Lorena Rodriguez-Martinez et al. Arthritis Res Ther. .

Abstract

Background: Autoantibodies are critical elements in RA pathogenesis and clinical assessment. The anti-malondialdehyde-acetaldehyde (anti-MAA) antibodies are potentially useful because of their claimed high sensitivity for all RA patients, including those lacking RF and anti-CCP antibodies. Therefore, we aimed to replicate these findings.

Methods: We independently attempted replication in Santiago and Barcelona using sera from 517 and 178 RA patients and 272 and 120 healthy controls, respectively. ELISA protocols for anti-MAA antibodies included five antigens (human serum albumin in three formulations, fibrinogen, and a synthetic peptide) and assays for the IgG, IgM, and IgA isotypes. We integrated our results with information found by searching the Web of Science for reports of anti-MAA antibodies in RA. The available patients (4989 in 11 sets) were included in a meta-analysis aimed at heterogeneity between studies. Factors accounting for heterogeneity were assessed with meta-regression.

Results: The sensitivity of anti-MAA antibodies in our RA patients was low, even in seropositive patients, with the percentage of positives below 23% for all ELISA conditions. Our results and bibliographic research showed IgG anti-MAA positive patients ranging from 6 to 92%. The extreme between-studies heterogeneity could be explained (up to 43%) in univariate analysis by sex, African ethnicity, the site of study, or recruitment from the military. The best model, including African ancestry and smoking, explained a high heterogeneity fraction (74%).

Conclusion: Anti-MAA antibody sensitivity is extremely variable between RA patient collections. A substantial fraction of this variability cannot be attributed to ELISA protocols. On the contrary, heterogeneity is determined by complex factors that include African ethnicity, smoking, and sex.

Keywords: Autoantibodies; Biomarker; Heterogeneity; Meta-analysis; Post-translational modifications; Rheumatoid arthritis.

PubMed Disclaimer

Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Anti-MAA antibody levels in healthy controls, anti-CCP- RA patients, and anti-CCP + RA patients. The results in A and B were obtained with complete independence at Santiago and Barcelona, respectively. In A 272 healthy controls, 185 anti-CCP and 332 anti-CCP+ RA patients were included. In B the numbers were 120, 52, and 127, respectively. Each dot represents a subject; the red horizontal lines represent the median anti-MAA antibody levels
Fig. 2
Fig. 2
Random effect meta-analysis of the frequency of IgG anti-MAA+ in RA patients. The patient sets are identified by the first author and year of publication. The four RA patient sets in de Moel (2023) [5] are FNS, First Nations People from Canada; SA, South Africans; NLD, Dutch from the Netherlands; and JPN, Japanese. The size of the squares is proportional to the weight of each patient collection (provided in the last column). The X-axis is on the logit scale. RE, random effects. 95% CI, 95% confidence interval

References

    1. Gravallese EM, Firestein GS. Rheumatoid arthritis - common origins, divergent mechanisms. N Engl J Med. 2023;388(6):529–542. - PubMed
    1. Smolen JS, Aletaha D, Barton A, Burmester GR, Emery P, Firestein GS, et al. Rheumatoid arthritis. Nat Rev Dis Primers. 2018;4:18001. - PubMed
    1. Darrah E, Andrade F. Editorial: citrullination, and carbamylation, and malondialdehyde-acetaldehyde! Oh my! Entering the forest of autoantigen modifications in rheumatoid arthritis. Arthritis Rheumatol. 2015;67(3):604–608. - PubMed
    1. Thiele GM, Duryee MJ, Anderson DR, Klassen LW, Mohring SM, Young KA, et al. Malondialdehyde-acetaldehyde adducts and anti-malondialdehyde-acetaldehyde antibodies in rheumatoid arthritis. Arthritis Rheumatol. 2015;67(3):645–655. - PMC - PubMed
    1. de Moel EC, Trouw LA, Terao C, Govind N, Tikly M, El-Gabalawy H, et al. Geo-epidemiology of autoantibodies in rheumatoid arthritis: comparison between four ethnically diverse populations. Arthritis Res Ther. 2023;25(1):37. - PMC - PubMed

Publication types

LinkOut - more resources