# Deciphering Immune Responses to Immunization via Transcriptional Analysis: A Narrative Review of the Current Evidence towards Personalized Vaccination Strategies

**Authors:** Ioanna Papadatou, Maria Geropeppa, Christina Piperi, Vana Spoulou, Christos Adamopoulos, Athanasios G. Papavassiliou

PMC · DOI: 10.3390/ijms25137095 · International Journal of Molecular Sciences · 2024-06-28

## TL;DR

This review explores how vaccines affect gene activity in the immune system, aiming to improve personalized vaccination strategies.

## Contribution

The paper provides a narrative review of transcriptional responses to vaccines, highlighting potential biomarkers and age-related effects.

## Key findings

- Transcriptional responses to vaccines vary among different populations, including the elderly and children.
- Transcriptomics can identify biomarkers that predict vaccine immunogenicity.
- Age influences transcriptional responses, suggesting personalized vaccination approaches.

## Abstract

The development of vaccines has drastically reduced the mortality and morbidity of several diseases. Despite the great success of vaccines, the immunological processes involved in protective immunity are not fully understood and several issues remain to be elucidated. Recently, the advent of high-throughput technologies has enabled a more in-depth investigation of the immune system as a whole and the characterization of the interactions of numerous components of immunity. In the field of vaccinology, these tools allow for the exploration of the molecular mechanisms by which vaccines can induce protective immune responses. In this review, we aim to describe current data on transcriptional responses to vaccination, focusing on similarities and differences of vaccine-induced transcriptional responses among vaccines mostly in healthy adults, but also in high-risk populations, such as the elderly and children. Moreover, the identification of potential predictive biomarkers of vaccine immunogenicity, the effect of age on transcriptional response and future perspectives for the utilization of transcriptomics in the field of vaccinology will be discussed.

## Full-text entities

- **Genes:** MZB1 (marginal zone B and B1 cell specific protein) [NCBI Gene 51237] {aka MEDA-7, PACAP, pERp1}, IL17A (interleukin 17A) [NCBI Gene 3605] {aka CTLA-8, CTLA8, IL-17, IL-17A, IL17, ILA17}, IL12A (interleukin 12A) [NCBI Gene 3592] {aka CLMF, IL-12A, NFSK, NKSF1, P35}, TNFRSF17 (TNF receptor superfamily member 17) [NCBI Gene 608] {aka BCM, BCMA, CD269, TNFRSF13A}, IFNG (interferon gamma) [NCBI Gene 3458] {aka IFG, IFI, IMD69}, ETS2 (ETS proto-oncogene 2, transcription factor) [NCBI Gene 2114] {aka ETS2IT1}, GATA3 (GATA binding protein 3) [NCBI Gene 2625] {aka HDR, HDRS}, FKBP4 (FKBP prolyl isomerase 4) [NCBI Gene 2288] {aka FKBP51, FKBP52, FKBP59, HBI, Hsp56, PPIase}, AASS (aminoadipate-semialdehyde synthase) [NCBI Gene 10157] {aka LKR/SDH, LKRSDH, LORSDH}, HLA-A (major histocompatibility complex, class I, A) [NCBI Gene 3105] {aka HLAA}, FCGR1A (Fc gamma receptor Ia) [NCBI Gene 2209] {aka CD64, CD64A, FCG1, FCGR1, FCRI, FcgammaRI}, MCEMP1 (mast cell expressed membrane protein 1) [NCBI Gene 199675] {aka C19orf59}, EIF2AK4 (eukaryotic translation initiation factor 2 alpha kinase 4) [NCBI Gene 440275] {aka GCN2, PVOD2}, SREBF1 (sterol regulatory element binding transcription factor 1) [NCBI Gene 6720] {aka HMD, IFAP2, SREBP1, bHLHd1}, TNF (tumor necrosis factor) [NCBI Gene 7124] {aka DIF, IMD127, TNF-alpha, TNFA, TNFSF2, TNLG1F}, NFKBIA (NFKB inhibitor alpha) [NCBI Gene 4792] {aka EDAID2, IKBA, MAD-3, NFKBI}, NFKB1 (nuclear factor kappa B subunit 1) [NCBI Gene 4790] {aka CVID12, EBP-1, KBF1, NF-kB, NF-kB1, NF-kappa-B1}, CD7 (CD7 molecule) [NCBI Gene 924] {aka GP40, LEU-9, TP41, Tp40}, CD38 (CD38 molecule) [NCBI Gene 952] {aka ADPRC 1, ADPRC1, cADPR1}, CAMK4 (calcium/calmodulin dependent protein kinase IV) [NCBI Gene 814] {aka CaMK IV, CaMK-GR, CaMKIV, caMK}, STAT1 (signal transducer and activator of transcription 1) [NCBI Gene 6772] {aka CANDF7, IMD31A, IMD31B, IMD31C, ISGF-3, STAT91}, IRF7 (interferon regulatory factor 7) [NCBI Gene 3665] {aka IMD39, IRF-7, IRF-7H, IRF7A, IRF7B, IRF7C}, TLR5 (toll like receptor 5) [NCBI Gene 7100] {aka MELIOS, SLE1, SLEB1, TIL3}, CD4 (CD4 molecule) [NCBI Gene 920] {aka CD4mut, IMD79, Leu-3, OKT4D, T4}, ICAM1 (intercellular adhesion molecule 1) [NCBI Gene 3383] {aka BB2, CD54, P3.58}, GNS (glucosamine (N-acetyl)-6-sulfatase) [NCBI Gene 2799] {aka G6S}, APBA3 (amyloid beta precursor protein binding family A member 3) [NCBI Gene 9546] {aka MGC:15815, X11L2, mint3}, IFNA1 (interferon alpha 1) [NCBI Gene 3439] {aka IFL, IFN, IFN-ALPHA, IFN-alphaD, IFNA13, IFNA@}
- **Diseases:** influenza (MESH:D007251), arthritis (MESH:D001168), COVID-19 (MESH:D000086382), immunodeficiencies (MESH:D007153), rotavirus infection (MESH:D012400), measles (MESH:D008457), Bacterial and Parasitic Infections (MESH:D010272), injury to people or property (MESH:C000719191), organ injury (MESH:D009102), fever (MESH:D005334), HIV-infected (MESH:D015658), ) infections (MESH:D007239), infectious diseases (MESH:D003141), malignancy (MESH:D009369), dengue (MESH:D003715), measles-mumps (MESH:D009107), MMR (MESH:C536143), death (MESH:D003643), hyperimmune inflammation (MESH:D007249), malaria (MESH:D008288), varicella-zoster (MESH:D020804), bacterial (MESH:D001424), rubella (MESH:D012409), chronic diseases (MESH:D002908), tetanus-diphtheria-pertussis (MESH:D013746), inflammatory cytokines (MESH:D000080424), febrile (MESH:D000071072), rash (MESH:D005076), hepatitis B (MESH:D006509), Viral Infections (MESH:D014777), smallpox (MESH:D012899), lupus (MESH:D008180), gastrointestinal and inflammatory disease (MESH:D005767), yellow fever (MESH:D015004), pertussis infection (MESH:D014917)
- **Chemicals:** heme (MESH:D006418), oil (MESH:D009821), -S (MESH:D013455), polysaccharide (MESH:D011134), 4CMenB. (-), water (MESH:D014867), MF59 (MESH:C089950)
- **Species:** Severe acute respiratory syndrome coronavirus 2 (no rank) [taxon 2697049], Mus musculus (house mouse, species) [taxon 10090], Dengue virus (no rank) [taxon 12637], Hepatitis B virus (no rank) [taxon 10407], Variola virus (smallpox virus, no rank) [taxon 10255], Micromonospora sp. CV4 (species) [taxon 2478711], Ebola virus (no rank) [taxon 1570291], Ebola virus [taxon 186536], Homo sapiens (human, species) [taxon 9606], Rotavirus (genus) [taxon 10912], Human alphaherpesvirus 3 (Varicella-zoster virus, no rank) [taxon 10335]
- **Cell lines:** YF-17D — Xenopus laevis (African clawed frog), Spontaneously immortalized cell line (CVCL_5610), ARR — Homo sapiens (Human), Childhood T acute lymphoblastic leukemia, Cancer cell line (CVCL_WV44)

## Full text

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## Figures

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## References

84 references — full list in the complete paper: https://tomesphere.com/paper/PMC11240890/full.md

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Source: https://tomesphere.com/paper/PMC11240890