# CD169+ and HLA-DR+ extracellular vesicles are highly represented in human plasma and dynamically expressed in SARS-CoV-2 infection and long COVID-associated sequelae

**Authors:** Marialaura Fanelli, Vita Petrone, Rossella Chirico, Luigi Coppola, Chiara Sorace, Chiara Cipriani, Giovanni Longo, Marco Girasole, Federica Collacchi, Claudia M. Radu, Martino Tony Miele, Alexandre Lucas, Elisabetta Teti, Vincenzo Malagnino, Marco Iannetta, Fabrice Malergue, Sergio Bernardini, Emanuela Balestrieri, Loredana Sarmati, Sandro Grelli, Antonella Minutolo, Claudia Matteucci

PMC · DOI: 10.3389/fcimb.2026.1686186 · Frontiers in Cellular and Infection Microbiology · 2026-02-11

## TL;DR

This study explores how immune cells and extracellular vesicles change during and after SARS-CoV-2 infection, offering new ways to monitor long-term effects of COVID-19.

## Contribution

The study identifies dynamic expression of CD169+ and HLA-DR+ extracellular vesicles in SARS-CoV-2 infection and long COVID, linking them to immune dysregulation and persistent inflammation.

## Key findings

- HLA-DR+CD169+ extracellular vesicles are significantly elevated in both acute and post-acute SARS-CoV-2 infection.
- EVs correlate with inflammatory markers and coagulation parameters in patients with long COVID.
- EVs reflect immune perturbations and may serve as indicators of persistent inflammation in long COVID.

## Abstract

Elevated inflammation and immune dysregulation are the main consequences of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. The dysregulated inflammatory state persists after coronavirus disease 2019 (COVID-19), establishing the post-acute sequelae of SARS-CoV-2 infection in individuals with long COVID (LC). The role of CD169+ monocytes in the early diagnosis of SARS-CoV-2 infection and their association with severe outcomes were demonstrated in COVID-19 patients (COV). We aimed to delineate specific myeloid activation that characterizes the acute and post-acute phases of SARS-CoV-2 infection, evaluating the correlation between cellular and extracellular vesicles (EVs).

Blood samples from COV, LC, and healthy donors (HD) were collected at Tor Vergata University Hospital in Rome. Plasmatic EVs were isolated by differential centrifugation and evaluated by flow cytometry and atomic force microscopy (AFM). Leukocyte subpopulations and different sizes of circulating EVs (100–200, 240–500, >500 nm) were characterized for HLA-DR and CD169 expression in COV, LC, and HD through flow cytometry. Serum inflammatory markers were assessed by the ELLA immunoassay system. The analyzed markers were associated with clinical and biochemical parameters in COV and LC.

The analysis of HLA-DR+, CD169+, and HLA-DR+CD169+ leukocytes confirmed our previous results in which the activated monocytes CD169+HLA-DR+ were found significantly high in COV, persisting in LC, and correlated differently with coagulation markers and inflammatory cytokines. Similar to cellular levels, the percentage and number of HLA-DR+CD169+ EVs were significantly elevated in COV and persisted in LC compared to HD. Different HLA-DR and CD169 expressions were found according to EV size in COV, LC, and HD, and correlations with biochemical parameters and circulating inflammatory markers were found. A positive correlation of HLA-DR and CD169 expression among monocytes and circulating EVs was found, supporting a possible connection between the two compartments and circulating inflammatory mediators. Moreover, the characterization by flow cytometry of EV cell derivation and cytokine cargo revealed EVs as sensitive indicators of both acute and persistent immune perturbations, bridging viral antigen persistence with inflammatory signaling in long COVID.

Myeloid activation markers and inflammatory cytokines are dynamically expressed between blood cells and circulating extracellular vesicles, underlining multilevel cell-to-cell communications, opening new possibilities to monitor COVID-19 and long COVID-associated sequelae.

## Linked entities

- **Proteins:** SIGLEC1 (sialic acid binding Ig like lectin 1)
- **Diseases:** coronavirus disease 2019 (MONDO:0100096)
- **Species:** Homo sapiens (taxon 9606)

## Full-text entities

- **Genes:** SLC17A5 (solute carrier family 17 member 5) [NCBI Gene 26503] {aka AST, ISSD, NSD, SD, SIALIN, SIASD}, SIGLEC1 (sialic acid binding Ig like lectin 1) [NCBI Gene 6614] {aka CD169, SIGLEC-1, SN}, CRP (C-reactive protein) [NCBI Gene 1401] {aka PTX1}, IL6 (interleukin 6) [NCBI Gene 3569] {aka BSF-2, BSF2, CDF, HGF, HSF, IFN-beta-2}, IL17A (interleukin 17A) [NCBI Gene 3605] {aka CTLA-8, CTLA8, IL-17, IL-17A, IL17, ILA17}, CXCL10 (C-X-C motif chemokine ligand 10) [NCBI Gene 3627] {aka C7, IFI10, INP10, IP-10, SCYB10, crg-2}, FCGR3A (Fc gamma receptor IIIa) [NCBI Gene 2214] {aka CD16-II, CD16A, FCG3, FCGR3, FCRIIIA, FcGRIIIA}, SELP (selectin P) [NCBI Gene 6403] {aka CD62, CD62P, GMP140, GRMP, LECAM3, PADGEM}, CSF2 (colony stimulating factor 2) [NCBI Gene 1437] {aka CSF, GMCSF}, CD8A (CD8 subunit alpha) [NCBI Gene 925] {aka CD8, CD8alpha, IMD116, Leu2, p32}, CD14 (CD14 molecule) [NCBI Gene 929], IL1RN (interleukin 1 receptor antagonist) [NCBI Gene 3557] {aka CRMO2, DIRA, ICIL-1RA, IL-1RN, IL-1ra, IL-1ra3}, IL2 (interleukin 2) [NCBI Gene 3558] {aka IL-2, TCGF, lymphokine}, TCEA1 (transcription elongation factor A1) [NCBI Gene 6917] {aka GTF2S, SII, TCEA, TF2S, TFIIS}, CD4 (CD4 molecule) [NCBI Gene 920] {aka CD4mut, IMD79, Leu-3, OKT4D, T4}, SELE (selectin E) [NCBI Gene 6401] {aka CD62E, ELAM, ELAM1, ESEL, LECAM2, selectin-e}, TNFRSF1A (TNF receptor superfamily member 1A) [NCBI Gene 7132] {aka CD120a, FPF, TBP1, TNF-R, TNF-R-I, TNF-R55}, ITGA2B (integrin subunit alpha 2b) [NCBI Gene 3674] {aka BDPLT16, BDPLT2, CD41, CD41B, FMAIT2, GP2B}, IL4 (interleukin 4) [NCBI Gene 3565] {aka BCGF-1, BCGF1, BSF-1, BSF1, IL-4}, HLA-A (major histocompatibility complex, class I, A) [NCBI Gene 3105] {aka HLAA}, IFNG (interferon gamma) [NCBI Gene 3458] {aka IFG, IFI, IMD69}, SPRED1 (sprouty related EVH1 domain containing 1) [NCBI Gene 161742] {aka LGSS, NFLS, PPP1R147, hSpred1, spred-1}, ITGB3 (integrin subunit beta 3) [NCBI Gene 3690] {aka BDPLT16, BDPLT2, BDPLT24, CD61, FMAIT1, GP3A}, IL10 (interleukin 10) [NCBI Gene 3586] {aka CSIF, GVHDS, IL-10, IL10A, TGIF}, TNF (tumor necrosis factor) [NCBI Gene 7124] {aka DIF, IMD127, TNF-alpha, TNFA, TNFSF2, TNLG1F}, FCGR1A (Fc gamma receptor Ia) [NCBI Gene 2209] {aka CD64, CD64A, FCG1, FCGR1, FCRI, FcgammaRI}, FGB (fibrinogen beta chain) [NCBI Gene 2244] {aka HEL-S-78p}, ST2 (suppression of tumorigenicity 2) [NCBI Gene 6761], IL1B (interleukin 1 beta) [NCBI Gene 3553] {aka IL-1, IL1-BETA, IL1F2, IL1beta}, CD163 (CD163 molecule) [NCBI Gene 9332] {aka M130, MM130, SCARI1}, CCL2 (C-C motif chemokine ligand 2) [NCBI Gene 6347] {aka GDCF-2, HC11, HSMCR30, MCAF, MCP-1, MCP1}, APC (APC regulator of Wnt signaling pathway) [NCBI Gene 324] {aka BTPS2, DESMD, DP2, DP2.5, DP3, GS}, EDN1 (endothelin 1) [NCBI Gene 1906] {aka ARCND3, ET1, HDLCQ7, PPET1, QME}, LGALS9 (galectin 9) [NCBI Gene 3965] {aka HUAT, LGALS9A}, GPT (glutamic--pyruvic transaminase) [NCBI Gene 2875] {aka AAT1, ALT, ALT1, GPT1, SGPT}, CXCL8 (C-X-C motif chemokine ligand 8) [NCBI Gene 3576] {aka GCP-1, GCP1, IL8, LECT, LUCT, LYNAP}, HLA-DRB1 (major histocompatibility complex, class II, DR beta 1) [NCBI Gene 3123] {aka DRB1, HLA-DR1B, HLA-DRB, SS1}, S (surface glycoprotein) [NCBI Gene 43740568] {aka spike glycoprotein}, ACE2 (angiotensin converting enzyme 2) [NCBI Gene 59272] {aka ACEH}, IL18 (interleukin 18) [NCBI Gene 3606] {aka IGIF, IL-18, IL-1g, IL1F4}, NEFL (neurofilament light chain) [NCBI Gene 4747] {aka CMT1F, CMT2E, CMTDIG, NF-L, NF68, NFL}, TRIM37 (tripartite motif containing 37) [NCBI Gene 4591] {aka MUL, POB1, TEF3}
- **Diseases:** viral infection (MESH:D014777), neuro symptom (MESH:C536203), thrombosis (MESH:D013927), symptoms (MESH:D012816), PT (MESH:D006526), vascular injury (MESH:D057772), cardiovascular diseases (MESH:D002318), coagulation (MESH:D001778), infected (MESH:D007239), PASC (MESH:D000086382), immune (MESH:D007154), liver and tissue damage (MESH:D056486), cytokine storm (MESH:D000080424), neuronal damage (MESH:D009410), depression (MESH:D003866), axonal injury (MESH:D001480), tissue damage (MESH:D017695), brain fog (MESH:D003072), Infectious Diseases (MESH:D003141), dysregulation of adaptive (MESH:D018489), LC (MESH:D000094024), HIV (MESH:D015658), immune dysregulation (OMIM:614878), intestinal disorders (MESH:D007410), HD (MESH:D000067329), chronic inflammation (MESH:D007249), headache (MESH:D006261), disease (MESH:D004194), NLR (MESH:D015467), BBB dysfunction (MESH:C536830), anxiety (MESH:D001007), neuroinflammation (MESH:D000090862), dyspnea (MESH:D004417), inflammatory syndrome (MESH:D018746), psychiatric (MESH:D001523), tumors (MESH:D009369), neurological involvement (MESH:C538190), endothelial dysfunction (MESH:D014652), muscle weakness (MESH:D018908), diabetes (MESH:D003920), cognitive symptoms (MESH:D019954), chest and muscle pain (MESH:D002637), Azotemia (MESH:D053099), fatigue (MESH:D005221), diarrhea (MESH:D003967), renal function (MESH:D058186), skin rash (MESH:D005076), tachycardia (MESH:D013610), obesity (MESH:D009765), nausea (MESH:D009325), autoimmune diseases (MESH:D001327), organ dysfunction (MESH:D009102), long-term effects (MESH:D000069451), anosmia (MESH:D000857), neuroimmune dysregulation (MESH:D021081), neurological symptom (MESH:D009461), fever (MESH:D005334), acute (MESH:D000208)
- **Chemicals:** Potassium (MESH:D011188), gangliosides (MESH:D005732), Dulbecco's phosphate-buffered saline (-), tocilizumab (MESH:C502936), GM1 (MESH:D005677)
- **Species:** Homo sapiens (human, species) [taxon 9606], Human betaherpesvirus 5 (no rank) [taxon 10359], Coronaviridae (family) [taxon 11118], Gammacoronavirus (genus) [taxon 694013], Severe acute respiratory syndrome coronavirus 2 (no rank) [taxon 2697049], Severe acute respiratory syndrome-related coronavirus (no rank) [taxon 694009], Human immunodeficiency virus 1 (no rank) [taxon 11676]

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12932623/full.md

## References

88 references — full list in the complete paper: https://tomesphere.com/paper/PMC12932623/full.md

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Source: https://tomesphere.com/paper/PMC12932623