Evidence map›Paper›PMID 41680478›Full record

ArticleNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2026

Mechanistic signatures of comorbid PTSD with cognitive impairment implicate cortisol-induced neural toxicity.

Zeming Kuang, Anthony G Chesebro, Sophia-Gisela Strey, Sean A P Clouston, Benjamin J Luft, Lilianne R Mujica-Parodi

Abstract read
In one paragraph

Article in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 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

6 authors.

Zeming KuangDepartment of Biomedical Engineering, State University of New York at Stony Brook, Stony Brook, NY, USA.
Anthony G ChesebroDepartment of Biomedical Engineering, State University of New York at Stony Brook, Stony Brook, NY, USA.
Sophia-Gisela StreyDepartment of Biomedical Engineering, State University of New York at Stony Brook, Stony Brook, NY, USA.
Sean A P CloustonProgram in Public Health, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.ORCID http://orcid.org/0000-0002-6124-0329
Benjamin J LuftWorld Trade Center Health Program, Commack, NY, USA.ORCID http://orcid.org/0000-0001-9008-7004
Lilianne R Mujica-ParodiDepartment of Biomedical Engineering, State University of New York at Stony Brook, Stony Brook, NY, USA. mujica@lcneuro.org.ORCID http://orcid.org/0000-0002-3752-5519

Funding

A lifecourse approach to PTSD and cognitive aging: A cohort of 9/11 respondersR01AG049953 · NIA · STATE UNIVERSITY NEW YORK STONY BROOK · PI CLOUSTON, SEAN · 2015 to 2024
$11.0M
Using Artificial Intelligence to Identify Accelerated Brain Aging in World Trade Center RespondersR21AG074706 · NIA · STATE UNIVERSITY NEW YORK STONY BROOK · PI CLOUSTON, SEAN, MUJICA-PARODI, LILIANNE R · 2021 to 2022
$500k
Using Resting State Functional MRI to Predict Cognitive Decline among World Trade Center RespondersR21AG074707 · NIA · STATE UNIVERSITY NEW YORK STONY BROOK · PI CLOUSTON, SEAN · 2021 to 2022
$500k
NIA NIH HHS R01 AG049953NIA NIH HHS R21 AG074707U.S. Department of Health & Human Services | CDC | National Institute for Occupational Safety and Health (NIOSH) U01OH011314U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) T32-GM008444U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) R01AG049953U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) R21AG074706
6 · The paper itself

Abstract

The men and women who worked in rescue and recovery operations at the 9/11 World Trade Center site are developing cognitive impairment (CI) at mid-life, decades before CI is usually detected. To date, one of the most consistent risk factors for CI in this population is symptoms of post-traumatic stress disorder (PTSD). However, little is known about the mechanistic cascade that drives stress-related neurological changes to accelerate cognitive decline in the human brain. We used machine learning to identify distinct brain signatures from functional magnetic resonance imaging between trauma-exposed healthy controls (TEHC; N = 30; 21 men), PTSD without CI (PTSD-CI; N = 19; 16 men), and PTSD with CI (PTSD + CI; N = 22; 18 men). We compared the spatial gradient of each functional signature to the distribution of mRNA expression in the brain. We applied structural equation modeling (SEM) to infer mechanistic cascades specific to each group. While modest accuracy was achieved for the PTSD-CI versus TEHC signature (0.67), clear differentiation was observed for PTSD + CI versus TEHC (0.73) and PTSD + CI versus PTSD-CI (0.85). Consistent significant correlations were found between PTSD + CI signatures and ZNF48, TOMM40, and GRIN1 expression distributions. The cortisol-induced neurotoxicity pathway was consistently found with the PTSD + CI signature, while the p53 signaling pathway was observed across all PTSD signatures. Our results reinforce peripheral biomarkers from a previous transcriptomic study and suggest functional biomarkers in PTSD and PTSD-related CI. Furthermore, our SEM results suggest that PTSD and PTSD-related CI may diverge at the mechanistic level, with neurotoxicity being specific to CI.

Indexed as

BrainCognitive DysfunctionHydrocortisoneStress Disorders, Post-TraumaticAdultComorbidityFemaleHumansMachine LearningMagnetic Resonance ImagingMaleMiddle AgedSeptember 11 Terrorist AttacksHydrocortisone

Identifiers

PMID41680478
PMCPMC13213041

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.