Normative dataset for plasma cytokines in healthy human adults.

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2021-04

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Abstract

We determined normative data for plasma cytokines established from a cohort of 126 carefully screened healthy adults aged 18 to 64 years. Participants were enrolled to ensure an even age and sex distribution and to include at least 30% non-Caucasians. Plasma cytokines for 18 analytes were tested by multiplex immunoassay. The data are presented by age cohort (18-29 years, 30-39, 40-49, and 50-66), as well as by sex and racial background. This dataset complements published normative ranges of cellular subsets generated by comprehensive polychromatic flow cytometry analysis of the healthy human immune system [1]. These data are available to researchers and have value as a reference range for research involving peripheral cytokines.

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10.1016/j.dib.2021.106857

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Li, Yingkai, John S Yi, Melissa A Russo, Marilyn Rosa-Bray, Kent J Weinhold and Jeffrey T Guptill (2021). Normative dataset for plasma cytokines in healthy human adults. Data in brief, 35. p. 106857. 10.1016/j.dib.2021.106857 Retrieved from https://hdl.handle.net/10161/22466.

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Scholars@Duke

Yi

John S Yi

Adjunct Assistant Professor in the Department of Surgery

I am an immunologist, with a focus to characterize the immune system in response to infectious and non-infectious diseases including cancer, HIV, autoimmune disease, and transplantation. My goals are to identify novel biomarkers/immune signatures that clinicians can utilize to diagnosis, predict disease outcomes, and determine patients' response to treatment. 

Weinhold

Kent James Weinhold

Joseph W. and Dorothy W. Beard Distinguished Professor of Experimental Surgery

The Weinhold Laboratory is currently focused on utilizing a comprehensive repertoire of highly standardized and formerly validated assay platforms to profile the human immune system in order to identify immunologic signatures that predict disease outcomes. These ongoing studies span a broad range of highly relevant clinical arenas, including: 1) cancer (non-small cell lung cancer, head and neck cancer, glioblastoma neoforme, ovarian cancer, and prostate cancer), 2) autoimmune diseases (rheumatoid arthritis, systemic lupus erythematosis, multiple sclerosis, and myasthenia gravis), 3) pulmonary disease (idiopathic pulmonary fibrosis), 4) solid organ transplantation (lung, kidney, liver, and heart), and 5) inflammatory disorders.

Two of the areas that have been especially active over the past few years include the comprehensive immunologic profiling of cancer patients receiving so-called ‘immune checkpoint blockade’ therapies and the search for immune signatures in lung transplant recipients that track with resistance to CMV infection. The laboratory conducted immune monitoring studies associated with a Phase I trial of Ipilimumab (anti-CTLA-4) in a neoadjuvant setting for the treatment of non-small cell lung cancer (NSCLC). For this trial we extensively utilized several high parameter flow cytometry (PFC) platforms to follow activation, maturation, exhaustion, and proliferation patterns within CD4+ and CD8+ subsets of T-cells. We are also utilizing an intracellular cytokine staining (ICS) platform in efforts to detect anti-tumor associated antigen (TAA) responses by CD4+ and CD8+ T cells from peripheral blood mononuclear cells as well as lymphocytes infiltrating the patients’ tumor. These assays are designed to measure antigen-driven intracellular production of IFN-γ, TNF-α, and IL-2, as well as the degranulation marker CD107a. This strategy enables us to not only document individual cytokine responses, but to also assess (through Boolean gating) changes in relative polyfunctionality of the responses. We have also performed similar immune monitoring of a Phase II trial evaluating nivolumab (anti-PD-1) alone vs. combined nivolumamb + ipilimumab vs. avastin (bevacizamab) alone in patients with glioblastomas. In both studies, we are seeking to identify pharmacodynamics markers and immune correlates predictive of clinical responses. In completed studies of a cohort of lung transplant recipients, we identified specific polyfunctional signatures in CD4+ and CD8+ subsets against CMV pp65 and IE-1 antigens that tracked with resistance to CMV infection (manuscript in preparation). These findings now serve as the basis for a Phase I clinical trial to compare conventional 6-month chemoprophylaxis in lung transplant recipients versus a regimen dictated by the presence or absence of the predictive signatures. This trial is the principal component of a recently awarded Clinical Trials in Organ Transplantation or CTOT award made from the NIH to Duke (Scott Palmer, PI). Ongoing studies will test the hypothesis that these signatures that have been validated in lung transplant recipients will also predict resistance to CMV infection in the context of other solid organ transplants such as kidney, liver, and heart.Future studies will also attempt to identify predictive signatures for resistance to BK polyomavirus, the cause of graft threatening nephritis in kidney transplant recipients and cystitis in bone marrow transplant recipients.  

 

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Guptill

Jeffrey Guptill

Adjunct Associate Professor in the Department of Neurology

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