Evidence map›Paper›PMID 37901689›Full record

ArticleCurrent clinical microbiology reports2023

Modeling and Remodeling the Cell: How Digital Twins and HCMV Can Elucidate the Complex Interactions of Viral Latency, Epigenetic Regulation, and Immune Responses.

Hana McMahon-Cole, Alicia Johnson, Sara Sadat Aghamiri, Tomáš Helikar, Lindsey B Crawford

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Current clinical microbiology reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 81% of its field
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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Review
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

5 authors at 1 institution in 1 country.

Hana McMahon-ColeDepartment of Biochemistry, University of Nebraska-Lincoln, Lincoln, NE, USA.
Alicia JohnsonDepartment of Biochemistry, University of Nebraska-Lincoln, Lincoln, NE, USA.
Sara Sadat AghamiriDepartment of Biochemistry, University of Nebraska-Lincoln, Lincoln, NE, USA.
Tomáš HelikarDepartment of Biochemistry, University of Nebraska-Lincoln, Lincoln, NE, USA.
Lindsey B CrawfordDepartment of Biochemistry, University of Nebraska-Lincoln, Lincoln, NE, USA.
University of Nebraska–Lincoln · US

Funding

Targeted mass spectrometry approaches to understand CART processing and recepter interactionsP20GM113126 · NIGMS · UNIVERSITY OF NEBRASKA LINCOLN · PI GUO, JIANTAO · 2016 to 2025
$20.8M
Software for collaborative construction, simulation, and analysis of mechanistic computational models of biological systemsR35GM119770 · NIGMS · UNIVERSITY OF NEBRASKA LINCOLN · PI Tomas Helikar · 2016 to 2026
$4.4M
NIGMS NIH HHS P20 GM113126NIGMS NIH HHS R35 GM119770
6 · The paper itself

Abstract

Purpose of Review: Human cytomegalovirus (HCMV), while asymptomatic in most, causes significant complications during fetal development, following transplant or in immunosuppressed individuals. The host-virus interactions regulating viral latency and reactivation and viral control of the cellular environment (immune regulation, differentiation, epigenetics) are highly complex. Understanding these processes is essential to controlling infection and can be leveraged as a novel approach for understanding basic cell biology. Recent Findings: Immune digital twins (IDTs) are digital simulations integrating knowledge of human immunology, physiology, and patient-specific clinical data to predict individualized immune responses and targeted treatments. Recent studies used IDTs to elucidate mechanisms of T cells, dendritic cells, and epigenetic control-all key to HCMV biology. Summary: Here, we discuss how leveraging the unique biology of HCMV and IDTs will clarify immune response dynamics, host-virus interactions, and viral latency and reactivation and serve as a powerful IDT-validation platform for individualized and holistic health management.

Indexed as

Digital twinEpigeneticsHuman cytomegalovirusImmune responseLatencyPersonalized medicine

Identifiers

PMID37901689
PMCPMC10601359
OpenAlexW4385381714

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.