Unknown,Transcriptomics,Genomics,Proteomics

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Leukocyte CD antibody microarray profiling reveals immune markers associated with aging and gender (datasets 1 and 2)

ABSTRACT: The study of disease-associated immune biomarkers has revealed underlying pathogenic mechanisms and provided diagnostic and prognostic values in numerous clinical settings. Accurate immune profiling of normal age and sex demographics is crucial for understanding the relevance of disease biomarkers. The incidence of age-associated diseases in the elderly and prevalence of diseases in specific genders may be explained by these normal phenotypic variation in the cellular immune system. Here we use microarrays of cluster of differentiation (CD) antibodies to immunophenotype populations of peripheral blood mononuclear cells (PBMCs) from healthy adult blood donors. The data revealed a set of statistically significant age- and gender-dependent expression patterns across the study population. We identified functional differences in immune biomarkers on PBMC associated with major innate, adaptive and inflammatory immune functions. The CD array data supported established observations using flow cytometric methods on age-associated changes in immune biomarkers, while also identifying novel markers associated with age and/or gender. The data demonstrates the utility of CD antibody arrays in providing a systematic and quantitative basis for understanding the development and progression of diseases that have an age-dependent and gender-specific etiology. Blood samples were collected from healthy male and female blood donors acrooss various age groups, predominantly Caucasians, from the Australian Red Cross Blood Service, Sydney, Australia, and from elderly males enrolled in the Concord Health and Aging in Men Project (CHAMP) at Concord Hospital, Sydney, Australia. PBMCs were fractionated from whole blood and applied to a cell capture CD antibody microarray. The microarray was then scaned by a DotScan™ slide reader (Medsaic; Eveleigh, NSW, Australia). The number of immobilized cells was proportional to the light scattered at each antibody spot. Binding of PBMCs to each antibody dot was monitored by light scatter and averaged between the duplicate spots on each slide. We then performed statistical analysis to identify CD antigen markers that has an statistically significant association with age and/or gender

ORGANISM(S): Homo sapiens

SUBMITTER: Joshua Ho

PROVIDER: E-GEOD-25755 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:The diagnosis of Systemic Lupus Erythematosus (SLE) is challenging due to its heterogeneous clinical presentation and lack of robust biomarkers for laboratory testing to distinguish it from other autoimmune or infectious diseases. Current diagnostic criterion relies on a combination of clinical examination and laboratory tests, and it does not readily distinguish between those with active clinical disease from those that are clinically quiescent. Several groups have attempted to apply emerging high throughput profiling technologies to diagnose SLE. Despite showing promising diagnostic potential, many of them are expensive and technically challenging for routine clinical uses. Here we report a pilot study of applying a technically simple and highly customisable leukocyte capture antibody microarray to profile healthy (n=24) and SLE patients (n=60) of various disease activities. Our analysis reveals a set of surface antigen biomarkers that have significant association with SLE. In addition, we present a computational method to calculate a score from the entire microarray profile to obtain a score that correlate most reliably with SLE disease activity. Although the current version of our microarray alone does not match the discriminatory power of the standard laboratory tests (serum dsDNA, complements C3 and C4), the combination of the two yields a test with significantly increased discriminatory ability than what can be achieved individually. This work paves the way for a customised SLE-specific antibody microarray for accurate diagnosis and monitoring of SLE that can be readily translated to routine clinical use. Blood samples were collected from 60 patients of Systemic Lupus Erythematosus (SLE) of different disease activity (11 active, 16 semi-active, and 33 inactive), and compared it with blood samples from 24 healthy blood donors. For each subject, we extracted PBMCs and apply them to a leukocyte capture antibody microarray. The microarray was then scaned by a DotScan™ slide reader (Medsaic; Eveleigh, NSW, Australia). The number of immobilized cells was proportional to the light scattered at each antibody spot. Binding of PBMCs to each antibody dot was monitored by light scatter and averaged between the duplicate spots on each slide. We then performed statistical analysis to identify CD antigen markers that are associated with SLE, as well as determining the potential diagnostic ability of this microarray for SLE.

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Leukocyte CD antibody microarray profiling reveals immune markers associated with aging and gender (datasets 1 and 2)

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