Evidence map›Paper›PMID 39514789›Full record

SynthesisBrain : a journal of neurology2025

Exploiting blood-based biomarkers to align preclinical models with human traumatic brain injury.

Ilaria Lisi, Federico Moro, Edoardo Mazzone, Niklas Marklund, Francesca Pischiutta, Firas Kobeissy, Xiang Mao, Frances Corrigan, Adel Helmy, Fatima Nasrallah and 12 more

Abstract readSystematic Review
In one paragraph

Synthesis in Brain : a journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
–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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

22 authors.

Ilaria LisiDepartment of Acute Brain and Cardiovascular Injury, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan 20156, Italy.
Federico MoroDepartment of Acute Brain and Cardiovascular Injury, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan 20156, Italy.ORCID 0000-0002-2682-5583
Edoardo MazzoneDepartment of Acute Brain and Cardiovascular Injury, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan 20156, Italy.
Niklas MarklundDepartment of Clinical Sciences Lund, Neurosurgery, Lund University and Skåne University Hospital, Lund 222 42, Sweden.
Francesca PischiuttaDepartment of Acute Brain and Cardiovascular Injury, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan 20156, Italy.ORCID 0000-0002-7151-0812
Firas KobeissyDepartment of Neurobiology, Center for Neurotrauma, Multiomics & Biomarkers, Morehouse School of Medicine, Atlanta, GA 30310, USA.ORCID 0000-0002-5008-6944
Xiang MaoDepartment of Neurosurgery, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, China.ORCID 0000-0002-1897-2751
Frances CorriganSchool of Biomedicine, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide 5005, Australia.
Adel HelmyDivision of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0QQ, UK.
Fatima NasrallahQueensland Brain Institute, The University of Queensland, St Lucia, QLD 4067, Australia.ORCID 0000-0002-7385-9559
Valentina Di PietroInstitute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham B15 2TT, UK.
Laura B NgwenyaDepartment of Neurosurgery, University of Cincinnati College of Medicine, Cincinnati, OH 670715, USA.
Luis V PortelaDepartment of Biochemistry, ICBS, Federal University of Rio Grande do Sul-UFRGS, Porto Alegre, RS 90040-060, Brasil.
Bridgette D SempleDepartment of Neuroscience, School of Translational Medicine, Monash University, Melbourne, VIC 3800, Australia.
Andrea L C SchneiderDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104-6021, USA.
Ramon Diaz ArrastiaDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
David K MenonDivision of Anaesthesia, University of Cambridge, Cambridge CB2 2QQ, UK.ORCID 0000-0002-3228-9692
Douglas H SmithCenter for Brain Injury and Repair and the Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Cheryl WellingtonDepartment of Pathology, Djavad Mowafaghain Centre for Brain Health, International Collaboration on Repair Discoveries, School of Biomedical Engineering, University of British Columbia, Vancouver, BC V6T 1Z3, Canada.
David J LoaneSchool of Biochemistry and Immunology, Trinity College Dublin, Dublin 152-160, Ireland.ORCID 0000-0003-0393-3503
Kevin K W WangDepartment of Neurobiology, Center for Neurotrauma, Multiomics & Biomarkers, Morehouse School of Medicine, Atlanta, GA 30310, USA.
Elisa R ZanierDepartment of Acute Brain and Cardiovascular Injury, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan 20156, Italy.ORCID 0000-0002-3011-8718

Funding

Clinical Validation of Serum Neurofilament Light as a Biomarker of Traumatic Axonal InjuryU01NS114140 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI DIAZ-ARRASTIA, RAMON · 2020 to 2025
$3.9M
NINDS NIH HHS U01 NS114140
6 · The paper itself

Abstract

Rodent models are important research tools for studying the pathophysiology of traumatic brain injury (TBI) and developing new therapeutic interventions for this devastating neurological disorder. However, the failure rate for the translation of drugs from animal testing to human treatments for TBI is 100%. While there are several potential explanations for this, previous clinical trials have relied on extrapolation from preclinical studies for critical design considerations, including drug dose optimization, post-injury drug treatment initiation and duration. Incorporating clinically relevant biomarkers in preclinical studies may provide an opportunity to calibrate preclinical models to identical (or similar) measurements in humans, link to human TBI biomechanics and pathophysiology, and guide therapeutic decisions. To support this translational goal, we conducted a systematic literature review of preclinical TBI studies in rodents measuring blood levels of clinically used GFAP, UCH-L1, NfL, total-Tau (t-Tau) or phosphorylated-Tau (p-Tau) published in PubMed/EMBASE up to 10 April 2024. Although many factors influence clinical TBI outcomes, many of those cannot routinely be assessed in rodent studies (e.g. intracranial pressure monitoring). Thus we focused on blood biomarkers' temporal trajectories and discuss our findings in the context of the latest clinical TBI biomarker data. Of 805 original preclinical studies, 74 met the inclusion criteria, with a median quality score of 5 (25th-75th percentiles: 4-7) on the CAMARADES checklist. GFAP was measured in 43 studies, UCH-L1 in 21, NfL in 20, t-Tau in 19 and p-Tau in seven. Data from rodent models indicate that all biomarkers exhibited injury severity-dependent elevations with distinct temporal profiles. GFAP and UCH-L1 peaked within the first day after TBI (30- and 4-fold increases, respectively, in moderate-to-severe TBI versus sham), with the highest levels observed in the contusion TBI model. NfL peaked within days (18-fold increase) and remained elevated up to 6 months post-injury. GFAP and NfL show a pharmacodynamic response in 64.7% and 60%, respectively, of studies evaluating neuroprotective therapies in preclinical models. However, GFAP's rapid decline post-injury may limit its utility for understanding the response to new therapeutics beyond the hyperacute phase after experimental TBI. Furthermore, as in humans, subacute NfL levels inform on chronic white matter loss after TBI. t-Tau and p-Tau levels increased over weeks after TBI (up to 6- and 16-fold, respectively); however, their relationship with underlying neurodegeneration has yet to be addressed. Further investigation into biomarker levels in the subacute and chronic phases after TBI will be needed to fully understand the pathomechanisms underpinning blood biomarkers' trajectories and select the most suitable experimental model to optimally relate preclinical mechanistic studies to clinical observations in humans. This new approach could accelerate the translation of neuroprotective treatments from laboratory experiments to real-world clinical practices.

Indexed as

BiomarkersBrain Injuries, TraumaticDisease Models, AnimalAnimalsGlial Fibrillary Acidic ProteinHumansRatstau ProteinsUbiquitin ThiolesteraseBiomarkersGlial Fibrillary Acidic Proteintau ProteinsUbiquitin Thiolesteraseblood biomarkersdisease trajectoriesmodel calibrationtranslational researchtraumatic brain injury

Identifiers

PMID39514789
PMCPMC11967814

What OpenQuestion holds

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Registered trials

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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.