Humoral immunity profiling of subjects with myalgic encephalomyelitis using a random peptide microarray differentiates cases from controls with high specificity and sensitivity

Sahajpreet Singh, Phillip Stafford, Karen A. Schlauch, Richard R. Tillett, Martin Gollery, Stephen Johnston, Svetlana F. Khaiboullina, Kenny L. De Meirleir, Shanti Rawat, Tatjana Mijatovic, Krishnamurthy Subramanian, András Palotás, Vincent C. Lombardi

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

Myalgic encephalomyelitis (ME) is a complex, heterogeneous illness of unknown etiology. The search for biomarkers that can delineate cases from controls is one of the most active areas of ME research; however, little progress has been made in achieving this goal. In contrast to identifying biomarkers that are directly involved in the pathological process, an immunosignature identifies antibodies raised to proteins expressed during, and potentially involved in, the pathological process. Although these proteins might be unknown, it is possible to detect antibodies that react to these proteins using random peptide arrays. In the present study, we probe a custom 125,000 random 12-mer peptide microarray with sera from 21 ME cases and 21 controls from the USA and Europe and used these data to develop a diagnostic signature. We further used these peptide sequences to potentially uncover the naturally occurring candidate antigens to which these antibodies may specifically react with in vivo. Our analysis revealed a subset of 25 peptides that distinguished cases and controls with high specificity and sensitivity. Additionally, Basic Local Alignment Search Tool (BLAST) searches suggest that these peptides primarily represent human selfantigens and endogenous retroviral sequences and, to a minor extent, viral and bacterial pathogens.

Original languageEnglish (US)
Pages (from-to)633-641
Number of pages9
JournalMolecular Neurobiology
Volume55
Issue number1
DOIs
StatePublished - Jan 1 2018

Fingerprint

Chronic Fatigue Syndrome
Humoral Immunity
Sensitivity and Specificity
Peptides
Pathologic Processes
Antibodies
Biomarkers
Proteins
Antigens
Serum
Research

Keywords

  • Antibody
  • Chronic fatigue syndrome
  • Immunosignature
  • Myalgic encephalomyelitis
  • Peptide array

ASJC Scopus subject areas

  • Neuroscience (miscellaneous)
  • Neurology
  • Cellular and Molecular Neuroscience

Cite this

Humoral immunity profiling of subjects with myalgic encephalomyelitis using a random peptide microarray differentiates cases from controls with high specificity and sensitivity. / Singh, Sahajpreet; Stafford, Phillip; Schlauch, Karen A.; Tillett, Richard R.; Gollery, Martin; Johnston, Stephen; Khaiboullina, Svetlana F.; De Meirleir, Kenny L.; Rawat, Shanti; Mijatovic, Tatjana; Subramanian, Krishnamurthy; Palotás, András; Lombardi, Vincent C.

In: Molecular Neurobiology, Vol. 55, No. 1, 01.01.2018, p. 633-641.

Research output: Contribution to journalArticle

Singh, S, Stafford, P, Schlauch, KA, Tillett, RR, Gollery, M, Johnston, S, Khaiboullina, SF, De Meirleir, KL, Rawat, S, Mijatovic, T, Subramanian, K, Palotás, A & Lombardi, VC 2018, 'Humoral immunity profiling of subjects with myalgic encephalomyelitis using a random peptide microarray differentiates cases from controls with high specificity and sensitivity', Molecular Neurobiology, vol. 55, no. 1, pp. 633-641. https://doi.org/10.1007/s12035-016-0334-0
Singh, Sahajpreet ; Stafford, Phillip ; Schlauch, Karen A. ; Tillett, Richard R. ; Gollery, Martin ; Johnston, Stephen ; Khaiboullina, Svetlana F. ; De Meirleir, Kenny L. ; Rawat, Shanti ; Mijatovic, Tatjana ; Subramanian, Krishnamurthy ; Palotás, András ; Lombardi, Vincent C. / Humoral immunity profiling of subjects with myalgic encephalomyelitis using a random peptide microarray differentiates cases from controls with high specificity and sensitivity. In: Molecular Neurobiology. 2018 ; Vol. 55, No. 1. pp. 633-641.
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