Evidence map›Paper›PMID 42833950›Full record

ReviewTrends in biotechnology2026

Translational benchmarking of 3D in vitro models of traumatic brain injury.

Peter Hsi, Michael L Lovett, Vishal Tandon, David L Kaplan

Abstract readReview
In one paragraph

Review in Trends in biotechnology, 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

4 authors.

Peter HsiTufts University, 4 Colby St, Medford, MA 02155, USA; Draper Scholar, The Charles Stark Draper Laboratory, Inc., 555 Technology Square, Cambridge, MA 02139, USA; Bioengineering Division, The Charles Stark Draper Laboratory, Inc., 555 Technology Square, Cambridge, MA 02139, USA.
Michael L LovettTufts University, 4 Colby St, Medford, MA 02155, USA.
Vishal TandonBioengineering Division, The Charles Stark Draper Laboratory, Inc., 555 Technology Square, Cambridge, MA 02139, USA.
David L KaplanTufts University, 4 Colby St, Medford, MA 02155, USA. Electronic address: David.kaplan@tufts.edu.

Funding

Translational Bioreactors - Engineering Complex TissuesP41EB002520 · NIBIB · TUFTS UNIVERSITY MEDFORD · PI KAPLAN, DAVID L. · 2004 to 2018
$16.7M
Tissue Engineering Resource Center: TTDP41EB027062 · NIBIB · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Gordana Vunjak-Novakovic · 2019 to 2026
$12.6M
NIBIB NIH HHS P41 EB002520NIBIB NIH HHS P41 EB027062
6 · The paper itself

Abstract

Traumatic brain injury (TBI) remains a major cause of neurological disability, yet effective therapies are limited. Advances in 3D in vitro neural models, including organoids, scaffold-based constructs, and brain-on-a-chip systems, have provided new opportunities to study neurotrauma under controlled conditions. This review evaluates recent in vitro tissue platforms through a dual framework of mechanical fidelity and biological response, benchmarking applied injury conditions against human biomechanical reconstructions and assessing the coverage of downstream responses relative to TBI pathology. Many 3D models apply clinically relevant mechanical loading regimes and reproduce select phenotypes, but remain limited by inconsistent mechanical reporting, incomplete cellular complexity, and sparse modeling of chronic and repetitive injury. Addressing these challenges will improve the translational utility of next-generation platforms.

Indexed as

3D in vitro modelsbiomechanicsbrain organoidsmicrophysiological systemsneuroinflammationtraumatic brain injury

Identifiers

PMID42833950
PMCPMC13639260

What OpenQuestion holds

Textmetadata
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.