Vincent Lombardi

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Vincent C. Lombardi, Ph.D., is the Director of Research at the Nevada Center for Biomedical Research. He has been researching myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) since 1992 in collabration with Dr. Daniel Peterson. After completing his academic studies, he joined the research team of the Nevada Center for Biomedical Research, rising to director in 2011.[1]

Notable studies[edit]

  • 2016, Humoral Immunity Profiling of Subjects with Myalgic Encephalomyelitis Using a Random Peptide Microarray Differentiates Cases from Controls with High Specificity and Sensitivity (FULL TEXT)
    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 self-antigens and endogenous retroviral sequences and, to a minor extent, viral and bacterial pathogens."[2]
  • 2016, Genome-wide association analysis identifies genetic variations in subjects with myalgic encephalomyelitis/chronic fatigue syndrome (FULL TEXT)
    Abstract - "Myalgic encephalomyelitis, also known as chronic fatigue syndrome or ME/CFS, is a multifactorial and debilitating disease that has an impact on over 4 million people in the United States alone. The pathogenesis of ME/CFS remains largely unknown; however, a genetic predisposition has been suggested. In the present study, we used a DNA single-nucleotide polymorphism (SNP) chip representing over 906,600 known SNPs to analyze DNA from ME/CFS subjects and healthy controls. To the best of our knowledge, this study represents the most comprehensive genome-wide association study (GWAS) of an ME/CFS cohort conducted to date. Here 442 SNPs were identified as candidates for association with ME/CFS (adjusted P-value<0.05). Whereas the majority of these SNPs are represented in non-coding regions of the genome, 12 SNPs were identified in the coding region of their respective gene. Among these, two candidate SNPs resulted in missense substitutions, one in a pattern recognition receptor and the other in an uncharacterized coiled-coil domain-containing protein. We also identified five SNPs that cluster in the non-coding regions of T-cell receptor loci. Further examination of these polymorphisms may help identify contributing factors to the pathophysiology of ME/CFS, as well as categorize potential targets for medical intervention strategies.[3]

Talks & interviews[edit]

Online presence[edit]

Learn more[edit]

See also[edit]

References[edit]

  1. http://nvcbr.org/portfolio-items/vincentc/
  2. Singh, Sahajpreet; Stafford, Phillip; Schlauch, Karen A.; Tillett, Richard R.; Gollery, Martin; Johnston, Stephen Albert; Khaiboullina, Svetlana F.; De Meirleir, Kenny L.; Rawat, Shanti; Mijatovic, Tatjana; Subramanian, Krishnamurthy; Palotás, András; Lombardi, Vincent C. (2016), "Humoral Immunity Profiling of Subjects with Myalgic Encephalomyelitis Using a Random Peptide Microarray Differentiates Cases from Controls with High Specificity and Sensitivity", Molecular Neurobiology, doi:10.1007/s12035-016-0334-0 
  3. Schlauch, Karen A.; Khaiboullina, Svetlana F.; De Meirleir, Kenny L.; Rawat, Shanti; Petereit, J; Rizvanov, Albert A; Blatt, Nataliya; Mijatovic, Tatjana; Kulick, D; Palotás, András; Lombardi, Vincent C. (2016), "Genome-wide association analysis identifies genetic variations in subjects with myalgic encephalomyelitis/chronic fatigue syndrome", Translational Psychiatry, 6 (2): e730, doi:10.1038/tp.2015.208 


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From MEpedia, a crowd-sourced encyclopedia of ME and CFS science and history