Evidence map›Paper›PMID 41479951›Full record

ReviewMechanobiology in medicine2026

Mechanoimmunology: past, present, and future perspectives.

Cheng Zhu

Abstract readReview
In one paragraph

Review in Mechanobiology in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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

1 author.

Cheng ZhuWallace H. Coulter Department of Biomedical Engineering, George W. Woodruff School of Mechanical Engineering and Parker H. Petit Institute for Bioengineering and Biosciences, Georgia Institute of Technology, Atlanta, GA, USA.

Funding

Single-platelet analysis of mechano-reception by GPIb alphaR01HL132019 · NHLBI · GEORGIA INSTITUTE OF TECHNOLOGY · PI ZHU, CHENG · 2016 to 2024
$3.8M
Exploiting the Mechanobiology of PD-1 for Cancer ImmunotherapyU01CA250040 · NCI · GEORGIA INSTITUTE OF TECHNOLOGY · PI ZHU, CHENG · 2020 to 2024
$3.5M
T-cell intrinsic mechanisms of resistance to PD-1 checkpoint blockadeR01CA243486 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI KROGSGAARD, MICHELLE, ZHU, CHENG · 2020 to 2024
$3.5M
Dysregulated mechanoimmunology of epigenetics-driven lymphomasU01CA280984 · NCI · GEORGIA INSTITUTE OF TECHNOLOGY · PI Ankur Singh, Cheng Zhu · 2023 to 2026
$2.1M
Optimizing TCR-CD3 signaling for immunotherapy of cancerR01CA284604 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MICHELLE KROGSGAARD, Cheng Zhu · 2024 to 2026
$1.9M
NCI NIH HHS R01 CA243486NCI NIH HHS R01 CA284604NCI NIH HHS U01 CA250040NCI NIH HHS U01 CA280984NHLBI NIH HHS R01 HL132019
6 · The paper itself

Abstract

The immune system relies on intricate molecular interactions and cellular signaling to discriminate between self and non-self, mount appropriate responses to pathogens and cancer, and maintain tissue homeostasis to avoid autoimmune diseases. Evidence increasingly supports the critical role of mechanical forces in regulating immune cell function and differentiation through immunoreceptor interactions with immobilized ligands, leading to the emerging interdisciplinary field of mechanoimmunology. This review delves into the historical development and recent advances of the field. We highlight the key concepts and questions in understanding how immune cells perceive and respond to mechanical cues, with a focus on the critical role of catch bonds in immunoreceptor-mediated mechanotransduction and explore their immunotherapeutic applications. Furthermore, we explore the profound implications of mechanoimmunology for understanding major immunological problems and its potential applications in advanced immunotherapies and regenerative medicine.

Identifiers

PMID41479951
PMCPMC12754205

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.