Evidence mapPaperPMID 42515039Full record

ReviewPathogens (Basel, Switzerland)2026

Omics-Level Approaches to Studying Gammaherpesvirus Infection.

Fatima Hisam, Anisha Reddy Konakalla, Eranda Berisha, Maria Del Carmen Chacon Castro, Spandan Mukherjee, Claire Wang, Benjamin R Sheirbon, Tracie Delgado, Erica L Sanchez

Abstract readReview
In one paragraph

Review in Pathogens (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Fatima HisamDepartment of Biological Sciences, The University of Texas at Dallas, Richardson, TX 75080, USA.
Anisha Reddy KonakallaDepartment of Biological Sciences, The University of Texas at Dallas, Richardson, TX 75080, USA.
Eranda BerishaDepartment of Biological Sciences, The University of Texas at Dallas, Richardson, TX 75080, USA.
Maria Del Carmen Chacon CastroDepartment of Biological Sciences, The University of Texas at Dallas, Richardson, TX 75080, USA.ORCID 0000-0001-7743-8789
Spandan MukherjeeDepartment of Biological Sciences, The University of Texas at Dallas, Richardson, TX 75080, USA.ORCID 0009-0005-6707-990X
Claire WangDepartment of Biological Sciences, The University of Texas at Dallas, Richardson, TX 75080, USA.
Benjamin R SheirbonDepartment of Biology, Seattle Pacific University, Seattle, WA 98119, USA.ORCID 0009-0006-5053-3122
Tracie DelgadoDepartment of Biology, Seattle Pacific University, Seattle, WA 98119, USA.ORCID 0000-0001-8070-657X
Erica L SanchezDepartment of Biological Sciences, The University of Texas at Dallas, Richardson, TX 75080, USA.ORCID 0000-0002-9079-1090

Funding

NIH HHS 1R15AI185858-01NIH HHS 1R35GM160182-01
6 · The paper itself

Abstract

Gammaherpesviruses (GHVs) represent a global clinical burden as the causative agents of Kaposi's sarcoma and mononucleosis, among other diseases. Kaposi's sarcoma-associated herpesvirus (KSHV) and Epstein-Barr virus (EBV) are the most studied human GHVs, and murine gammaherpesvirus 68 (MHV-68) is a recognized experimental model. GHVs are defined by their modulation of the host cell to establish lifelong latent infections and increase host dysregulation during periodic reactivation. Due to their ubiquitous changes in host cells, systems-level techniques are well-suited to study GHV infections at all stages of the central dogma: genomics, transcriptomics, and proteomics. Furthermore, metabolomics can reveal the final metabolic changes across numerous host cellular pathways. This review assesses the current knowledge on GHV infections gained through omics techniques. We also identify gaps and propose future directions, including the development of new therapeutic strategies. Early omics techniques have characterized large swaths of infection for EBV, KSHV, and MHV-68, revealing conserved genes, homologous transcripts, and proteins. Modern omics techniques have enabled higher-resolution studies, yielding insights into heterogeneity in viral-host gene, transcript, and protein modulation strategies across geographical populations, viral subtypes, inter- and intra-patient infections, and latent and lytic states. The metabolome during GHV infections remains the least understood, but current studies have identified essential modulations of nucleotide, amino acid, and lipid synthesis by EBV, KSHV, and MHV-68. Importantly, the application of integrative omics methods to GHV infections remains a promising direction of study as the increased resolution of modern techniques meets the need for greater understanding of differences in each GHV infection.

Indexed as

GammaherpesvirinaeGenomicsHerpesviridae InfectionsProteomicsAnimalsHerpesvirus 8, HumanHost-Pathogen InteractionsHumansMetabolomicsMultiomicsEBVgammaherpesvirusgenomicsKSHVmetabolomicsMHV-68multi-omicsproteomicstranscriptomics

Identifiers

PMID42515039
PMCPMC13416049

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.