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[Preprint]. 2024 Aug 15:2024.08.13.607855.
doi: 10.1101/2024.08.13.607855.

Identification of biomarkers for COVID-19 associated secondary hemophagocytic lymphohistiocytosis

Affiliations

Identification of biomarkers for COVID-19 associated secondary hemophagocytic lymphohistiocytosis

Susan P Canny et al. bioRxiv. .

Update in

Abstract

Objectives: We aimed to define and validate novel biomarkers that could identify individuals with COVID-19 associated secondary hemophagocytic lymphohistiocytosis (sHLH) and to test whether fatalities due to COVID-19 in the presence of sHLH were associated with specific defects in the immune system.

Design: In two cohorts of adult patients presenting with COVID-19 in 2020 and 2021, clinical lab values and serum proteomics were assessed. Subjects identified as having sHLH were compared to those with COVID-19 without sHLH. Eight deceased patients defined as COVID-sHLH underwent genomic sequencing in order to identify variants in immune-related genes.

Setting: Two tertiary care hospitals in Seattle, Washington (Virginia Mason Medical Center and Harborview Medical Center).

Patients: 186 patients with COVID-19.

Interventions: None.

Measurements and main results: Nine percent of enrolled COVID-19 subjects met our defined criteria for sHLH. Using broad serum proteomic approaches (O-link and SomaScan), we identified three biomarkers for COVID-19 associated sHLH (soluble PD-L1, TNF-R1, and IL-18BP), supporting a role for proteins previously associated with other forms of sHLH (IL-18BP and sTNF-R1). We also identified novel biomarkers and pathways of COVID-sHLH, including sPD-L1 and the syntaxin pathway. We detected variants in several genes involved in immune responses in individuals with COVID-sHLH, including in DOCK8 and in TMPRSS15, suggesting that genetic alterations in immune-related genes may contribute to hyperinflammation and fatal outcomes in COVID-19.

Conclusions: Biomarkers of COVID-19 associated sHLH, such as soluble PD-L1, and pathways, such as the syntaxin pathway, and variants in immune genes in these individuals, suggest critical roles for the immune response in driving sHLH in the context of COVID-19.

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Figures

Figure 1.
Figure 1.. sPD-L1, sTNF-R1, and IL-18BP are elevated two independent cohorts of COVID-sHLH subjects.
(A) Plasma samples (n=85) from cohort 1 were analyzed on the Olink platform and displayed as intensity normalized values. A.U. indicates arbitrary unit. Open circles: no sHLH (n=78, except for PD-L1 and TNF n=77), red squares: with sHLH (n=7). (B) Plasma samples from cohort 2 were analyzed using the SomaScan platform (n=101) and displayed as normalized RFU. Open circles: no sHLH (n=91); red squares: with sHLH (n=10). (C) Plasma samples from cohort 2 were analyzed for sPD-L1 (n=181) using an MSD assay. Open circles: no sHLH, red squares (n=164): with sHLH (n=17). Bars indicate median and interquartile range. * p < 0.05, ** p< 0.01 by two-tailed Mann-Whitney test.
Figure 2.
Figure 2.. Syntaxin and IL-1 pathway proteins and CHCHD10 are differentially expressed in COVID-sHLH subjects.
(A) Plasma samples from cohort 2 were analyzed using SomaScan platform (n=101; no sHLH n=91; sHLH n=10). Volcano plot displays differentially expressed proteins between subjects with sHLH vs those without sHLH adjusted for age, sex, and BMI. FDR < 0.05. (B) Plasma levels of CHCHD10 from cohort 2 displayed as normalized RFU from SomaScan data presented in Panel A. Bars indicate median and interquartile range. (C) Normalized read counts of transcripts from RNA sequencing of CD14+ monocytes from subjects without sHLH (n=22) or subjects with sHLH (n=3) from cohort 1. Open circles: no sHLH, red squares: with sHLH. Bars indicate median and interquartile range. *** p < 0.001 by two-tailed Mann-Whitney test.

References

    1. Ombrello MJ, Schulert GS. 2021. COVID-19 and cytokine storm syndrome: are there lessons from macrophage activation syndrome? Transl Res 232:1–12. - PMC - PubMed
    1. Jamilloux Y, Henry T, Belot A, Viel S, Fauter M, El Jammal T, Walzer T, Francois B, Seve P. 2020. Should we stimulate or suppress immune responses in COVID-19? Cytokine and anti-cytokine interventions. Autoimmun Rev 19:102567. - PMC - PubMed
    1. Retamozo S, Brito-Zeron P, Siso-Almirall A, Flores-Chavez A, Soto-Cardenas MJ, Ramos-Casals M. 2021. Haemophagocytic syndrome and COVID-19. Clin Rheumatol 40:1233–1244. - PMC - PubMed
    1. Webb BJ, Peltan ID, Jensen P, Hoda D, Hunter B, Silver A, Starr N, Buckel W, Grisel N, Hummel E, Snow G, Morris D, Stenehjem E, Srivastava R, Brown SM. 2020. Clinical criteria for COVID-19-associated hyperinflammatory syndrome: a cohort study. Lancet Rheumatol 2:e754–e763. - PMC - PubMed
    1. Bolouri H, Speake C, Skibinski D, Long SA, Hocking AM, Campbell DJ, Hamerman JA, Malhotra U, Buckner JH, Benaroya Research Institute C-RT. 2021. The COVID-19 immune landscape is dynamically and reversibly correlated with disease severity. J Clin Invest 131. - PMC - PubMed

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