# EBV infection outcomes determined by monocyte and TREG-driven immune dynamics in an ex vivo pbmc model

**Authors:** Leena Yoon, Lauren N. MacMullen, Leonardo Josué Castro Muñoz, Alina Gu, Jamie Bregman, Mary S. Campion, Avi Srivastava, Rena R. Xian, Richard F. Ambinder, Andrew Kossenkov, Samantha S. Soldan, Paul M. Lieberman

PMC · DOI: 10.1371/journal.ppat.1013746 · PLOS Pathogens · 2026-03-20

## TL;DR

This study shows how immune cell differences in people affect how Epstein-Barr virus (EBV) behaves, leading to different health outcomes.

## Contribution

The study introduces an ex vivo PBMC model to reveal immune dynamics and gene expression differences that determine EBV infection outcomes.

## Key findings

- Monocytes respond early to EBV infection with antiviral activity linked to lipid metabolism and chemotaxis genes like LIPA, CCR1, and CCR2.
- Donors who fail to generate LCLs show higher CD8+ T cells and fewer Tregs, along with increased lytic gene expression and reduced latency.
- Treg depletion with RG6292 suppresses viral transformation, showing Tregs are critical for EBV infection outcomes.

## Abstract

Epstein-Barr virus (EBV) infects >95% of the adult population with diverse outcomes ranging from benign latency to cancers and autoimmune diseases. Immunological control of EBV infection is known to be an important determinant of EBV infection outcomes. However, species-specific viral tropism and limited infection models have impeded mechanistic insights into early host–immune control of EBV infection. Here, we use ex vivo infection of peripheral blood mononuclear cells (PBMCs), rather than routinely used B cell enriched culture systems, to study immune and viral dynamics during primary EBV infection. We combined bulk RNA sequencing, EBV transcript enrichment, and flow cytometry to characterize cellular responses across Days 1, 7–8, and 14 post-infection. Early infection triggered a monocyte-specific antiviral response marked by changes in the expression of genes associated with lipid metabolism (LIPA, lysosomal acid lipase) and chemotaxis (CCR1 and CCR2). Inhibitors of LIPA increased EBV titers during primary infection, indicating that LIPA is part of an early monocyte-driven antiviral response. At later timepoints post-infection, donor-dependent variability in lymphoblastoid cell line (LCL) outgrowth was associated with divergent immune states. Donors that failed to generate LCLs demonstrated increased frequencies of CD8+ T cells and reduced numbers of regulatory T cells (CD4 ⁺ CD25 ⁺ FOXP3⁺). EBV transcriptomics revealed that LCL-failed donors exhibited elevated early lytic gene expression but did not establish a type III latency program. Our findings suggest that individual variations in immune cell composition and gene expression may account for differences in the immune response to EBV. These findings define temporal immune and viral signatures that predict transformation outcome and highlight intact PBMCs as a tractable model to study EBV pathogenesis in a genetically diverse, human-specific context.

Individual variation in response to Epstein-Barr virus (EBV) infection can lead to diverse pathogenic outcomes, ranging from cancers to autoimmune disease. To study this variation, we analyzed immune cell response and viral dynamics during the ex vivo primary EBV infection of peripheral blood mononuclear cells (PBMCs) from donors that either fail or succeed to generate lymphoblastoid cell lines (LCLs). Flow cytometry and RNA-seq revealed a rapid monocyte-specific antiviral response among all donors marked by genes associated with lipid metabolism (LIPA) and chemotaxis (CCR1 and CCR2). LIPA inhibition increased EBV titers during primary infection, demonstrating a functional antiviral role. At later timepoints, donor-specific differences in CD8+ T cells and Treg subsets, along with EBV gene expression, were correlated with successful LCL outgrowth. Treatment with the Treg-depleting antibody RG6292 suppressed viral transformation in donors that otherwise supported LCL outgrowth, supporting a functional role for Tregs in shaping early EBV infection outcomes. Viral transcript enrichment-seq revealed an upregulation of early lytic and failure to sustain latent gene expression correlating with failure to generate LCL. These findings highlight intact PBMCs as a tractable model to study EBV viral-host interaction in a genetically diverse, human-specific context, and that Tregs play a key determining role in viral transformation.

## Linked entities

- **Genes:** LIPA (lipase A, lysosomal acid type) [NCBI Gene 3988], CCR1 (C-C motif chemokine receptor 1) [NCBI Gene 1230], CCR2 (C-C motif chemokine receptor 2) [NCBI Gene 729230]
- **Diseases:** cancer (MONDO:0004992), autoimmune disease (MONDO:0007179)

## Full-text entities

- **Genes:** CCR3 (C-C motif chemokine receptor 3) [NCBI Gene 1232] {aka C C CKR3, CC-CKR-3, CD193, CKR 3, CKR3, CMKBR3}, IL1B (interleukin 1 beta) [NCBI Gene 3553] {aka IL-1, IL1-BETA, IL1F2, IL1beta}, TOX (thymocyte selection associated high mobility group box) [NCBI Gene 9760] {aka TOX1}, METTL9 (methyltransferase 9, His-X-His N1(pi)-histidine) [NCBI Gene 51108] {aka CGI-81, DREV, DREV1, PAP1, hMETTL9}, AGO3 (argonaute RISC catalytic component 3) [NCBI Gene 192669] {aka EIF2C3}, FADS2 (fatty acid desaturase 2) [NCBI Gene 9415] {aka D6D, DES6, FADSD6, LLCDL2, SLL0262, TU13}, KRT20 (keratin 20) [NCBI Gene 54474] {aka CD20, CK-20, CK20, K20, KRT21}, IL2RA (interleukin 2 receptor subunit alpha) [NCBI Gene 3559] {aka CD25, IDDM10, IL2R, IMD41, TCGFR, p55}, TNFRSF9 (TNF receptor superfamily member 9) [NCBI Gene 3604] {aka 4-1BB, CD137, CDw137, ILA, IMD109}, ROCK2 (Rho associated coiled-coil containing protein kinase 2) [NCBI Gene 9475] {aka ROCK-II}, BATF (basic leucine zipper ATF-like transcription factor) [NCBI Gene 10538] {aka B-ATF, BATF1, SFA-2, SFA2}, LIPA (lipase A, lysosomal acid type) [NCBI Gene 3988] {aka CESD, LAL}, PSMB9 (proteasome 20S subunit beta 9) [NCBI Gene 5698] {aka LMP2, PRAAS3, PRAAS6, PSMB6i, RING12, beta1i}, FCER2 (Fc epsilon receptor II) [NCBI Gene 2208] {aka BLAST-2, CD23, CD23A, CLEC4J, FCE2, FCErII}, NCAM1 (neural cell adhesion molecule 1) [NCBI Gene 4684] {aka CD56, MSK39, NCAM}, SLAMF6 (SLAM family member 6) [NCBI Gene 114836] {aka CD352, KALI, KALIb, Ly108, NTB-A, NTBA}, RPP30 (ribonuclease P/MRP subunit p30) [NCBI Gene 10556] {aka TSG15}, NFRKB (nuclear factor related to kappaB binding protein) [NCBI Gene 4798] {aka INO80G}, CD44 (CD44 molecule (IN blood group)) [NCBI Gene 960] {aka CDW44, CSPG8, ECM-III, ECMR-III, H-CAM, HCELL}, FCGR1A (Fc gamma receptor Ia) [NCBI Gene 2209] {aka CD64, CD64A, FCG1, FCGR1, FCRI, FcgammaRI}, TRIM5 (tripartite motif containing 5) [NCBI Gene 85363] {aka RNF88, TRIM5alpha}, MYC (MYC proto-oncogene, bHLH transcription factor) [NCBI Gene 4609] {aka MRTL, MYCC, bHLHe39, c-Myc}, CCR2 (C-C motif chemokine receptor 2) [NCBI Gene 729230] {aka CC-CKR-2, CCR-2, CCR2A, CCR2B, CD192, CKR2}, JCHAIN (joining chain of multimeric IgA and IgM) [NCBI Gene 3512] {aka IGCJ, IGJ, JCH}, STAT5B (signal transducer and activator of transcription 5B) [NCBI Gene 6777] {aka GHISID2, STAT5}, GPR183 (G protein-coupled receptor 183) [NCBI Gene 1880] {aka EBI2, hEBI2}, FOXP3 (forkhead box P3) [NCBI Gene 50943] {aka AIID, DIETER, IPEX, JM2, PIDX, XPID}, CD14 (CD14 molecule) [NCBI Gene 929], EIF2AK2 (eukaryotic translation initiation factor 2 alpha kinase 2) [NCBI Gene 5610] {aka PKR, PPP1R83, PRKR}, CCR1 (C-C motif chemokine receptor 1) [NCBI Gene 1230] {aka CD191, CKR-1, CKR1, CMKBR1, HM145, MIP1aR}, ACAT1 (acetyl-CoA acetyltransferase 1) [NCBI Gene 38] {aka ACAT, MAT, T2, THIL}, SCD (stearoyl-CoA desaturase) [NCBI Gene 6319] {aka FADS5, MSTP008, SCD1, SCDOS, hSCD1}, HAVCR2 (hepatitis A virus cellular receptor 2) [NCBI Gene 84868] {aka CD366, HAVcr-2, KIM-3, SPTCL, TIM3, TIMD-3}, ITGAX (integrin subunit alpha X) [NCBI Gene 3687] {aka CD11C, SLEB6}, FCGR3A (Fc gamma receptor IIIa) [NCBI Gene 2214] {aka CD16-II, CD16A, FCG3, FCGR3, FCRIIIA, FcGRIIIA}, CD244 (CD244 molecule) [NCBI Gene 51744] {aka 2B4, NAIL, NKR2B4, Nmrk, SLAMF4}, CD27 (CD27 molecule) [NCBI Gene 939] {aka S152, S152. LPFS2, T14, TNFRSF7, Tp55}, GPR166P (G protein-coupled receptor 166, pseudogene) [NCBI Gene 442206] {aka GPCR, PGR9}, RSAD2 (radical S-adenosyl methionine domain containing 2) [NCBI Gene 91543] {aka SAND, cig33, cig5, vig1}, IFNB1 (interferon beta 1) [NCBI Gene 3456] {aka IFB, IFF, IFN-beta, IFNB}, KDM6A (lysine demethylase 6A) [NCBI Gene 7403] {aka KABUK2, UTX, bA386N14.2}, IL2 (interleukin 2) [NCBI Gene 3558] {aka IL-2, TCGF, lymphokine}, LEP (leptin) [NCBI Gene 3952] {aka LEPD, OB, OBS}, IRF1 (interferon regulatory factor 1) [NCBI Gene 3659] {aka IMD117, IRF-1, MAR}, HIF1A (hypoxia inducible factor 1 subunit alpha) [NCBI Gene 3091] {aka HIF-1-alpha, HIF-1A, HIF-1alpha, HIF1, HIF1-ALPHA, MOP1}, KLRF1 (killer cell lectin like receptor F1) [NCBI Gene 51348] {aka CLEC5C, NKp80}, MAPK1 (mitogen-activated protein kinase 1) [NCBI Gene 5594] {aka ERK, ERK-2, ERK2, ERT1, MAPK2, NS13}, CD19 (CD19 molecule) [NCBI Gene 930] {aka B4, CVID3}, CD8A (CD8 subunit alpha) [NCBI Gene 925] {aka CD8, CD8alpha, IMD116, Leu2, p32}, CCL13 (C-C motif chemokine ligand 13) [NCBI Gene 6357] {aka CKb10, MCP-4, NCC-1, NCC1, SCYA13, SCYL1}, ENTPD1 (ectonucleoside triphosphate diphosphohydrolase 1) [NCBI Gene 953] {aka ATP-DPH, ATPDase, CD39, NTPDase-1, SPG64}, IL6 (interleukin 6) [NCBI Gene 3569] {aka BSF-2, BSF2, CDF, HGF, HSF, IFN-beta-2}, MDH1 (malate dehydrogenase 1) [NCBI Gene 4190] {aka DEE88, EIEE88, HEL-S-32, KAR, MDH-s, MDHA}, CD4 (CD4 molecule) [NCBI Gene 920] {aka CD4mut, IMD79, Leu-3, OKT4D, T4}
- **Diseases:** LCL (MESH:D002292), tumor virus (MESH:D014412), EBV (MESH:D020031), lymphoproliferative disease (MESH:D008232), inflammation (MESH:D007249), viral (MESH:D014777), autoimmune disease (MESH:D001327), SCID (MESH:D053632), MS (MESH:D009103), cancers (MESH:D009369), cytotoxic (MESH:D064420), IM (MESH:D007244), neuroinflammatory (MESH:D000090862), lymphoid and epithelial cell malignancies (MESH:D002277), dysregulation (MESH:D021081), NPC (MESH:D000077274), Burkitt's lymphoma (MESH:D002051), infected (MESH:D007239), inherited immunodeficiencies (MESH:D000081207)
- **Chemicals:** sucrose (MESH:D013395), LPS (MESH:D008070), DPBS (MESH:C012939), water (MESH:D014867), free fatty acids (MESH:D005230), cyclosporin (MESH:D016572), Lalistat2 (MESH:C576036), ROS (MESH:D017382), sodium azide (MESH:D019810), cholesterol esters (MESH:D002788), penicillin (MESH:D010406), DMSO (MESH:D004121), PBS (MESH:D007854), sodium butyrate (MESH:D020148), GlutaMAX (MESH:C054122), triglycerides (MESH:D014280), 25-hydroxycholesterol (MESH:C007997), lipid (MESH:D008055), oxysterol (MESH:D000072376), streptomycin (MESH:D013307), 7alpha,25-OHC (-), cholesterol (MESH:D002784), fatty acids (MESH:D005227)
- **Species:** human gammaherpesvirus 4 (Epstein Barr virus, no rank) [taxon 10376], Homo sapiens (human, species) [taxon 9606], Mus musculus (house mouse, species) [taxon 10090]
- **Mutations:** S18012C, C61H
- **Cell lines:** Mutu I — Homo sapiens (Human), EBV-related Burkitt lymphoma, Cancer cell line (CVCL_7202)

## Full text

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## Figures

8 figures with captions in the complete paper: https://tomesphere.com/paper/PMC13029685/full.md

## References

78 references — full list in the complete paper: https://tomesphere.com/paper/PMC13029685/full.md

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Source: https://tomesphere.com/paper/PMC13029685