Evidence map›Paper›PMID 41542504›Full record

ArticlebioRxiv : the preprint server for biology2026

Induction of ferroptotic and amyloidogenic signatures linked to Alzheimer's disease by chemically distinct air pollutants.

Kristina Shkirkova, Naomi S Sta Maria, Herbert Anson, Yashar Aghaei, Mohammad Mahdi Badami, Ararat Chakhoyan, Jose A Godoy-Lugo, Claire Chung, Salma Durra, Angela Tang-Tan and 23 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

5 · Who and what money

Authors and funding

33 authors.

Kristina ShkirkovaKeck School of Medicine of the University of Southern California, Los Angeles, CA, USA 1975 Zonal Ave, Los Angeles, CA 90033.
Naomi S Sta MariaZilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033.
Herbert AnsonLeonard Davis School of Gerontology, University of Southern California, 3715 McClintock Ave, Los Angeles, CA 90089.
Yashar AghaeiViterbi School of Engineering, University of Southern California, Los Angeles, CA, 90089.
Mohammad Mahdi BadamiViterbi School of Engineering, University of Southern California, Los Angeles, CA, 90089.
Ararat ChakhoyanZilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033.
Jose A Godoy-LugoLeonard Davis School of Gerontology, University of Southern California, 3715 McClintock Ave, Los Angeles, CA 90089.
Claire ChungLeonard Davis School of Gerontology, University of Southern California, 3715 McClintock Ave, Los Angeles, CA 90089.
Salma DurraLeonard Davis School of Gerontology, University of Southern California, 3715 McClintock Ave, Los Angeles, CA 90089.
Angela Tang-TanKeck School of Medicine of the University of Southern California, Los Angeles, CA, USA 1975 Zonal Ave, Los Angeles, CA 90033.
Lifu ZhaoKeck School of Medicine of the University of Southern California, Los Angeles, CA, USA 1975 Zonal Ave, Los Angeles, CA 90033.
Alexandra DemetriouKeck School of Medicine of the University of Southern California, Los Angeles, CA, USA 1975 Zonal Ave, Los Angeles, CA 90033.
Manuel MoralesKeck School of Medicine of the University of Southern California, Los Angeles, CA, USA 1975 Zonal Ave, Los Angeles, CA 90033.
Sindhu DaggupatiKeck School of Medicine of the University of Southern California, Los Angeles, CA, USA 1975 Zonal Ave, Los Angeles, CA 90033.
Isabella BentKeck School of Medicine of the University of Southern California, Los Angeles, CA, USA 1975 Zonal Ave, Los Angeles, CA 90033.
Hyoungjin ParkKeck School of Medicine of the University of Southern California, Los Angeles, CA, USA 1975 Zonal Ave, Los Angeles, CA 90033.
Caleb FranklinKeck School of Medicine of the University of Southern California, Los Angeles, CA, USA 1975 Zonal Ave, Los Angeles, CA 90033.
Selena ChenKeck School of Medicine of the University of Southern California, Los Angeles, CA, USA 1975 Zonal Ave, Los Angeles, CA 90033.
Giovanni ChahineZilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033.
Skyye Dodds-LewisZilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033.
Masako MorishitaDepartment of Family Medicine, College of Human Medicine, Michigan State University, Grand Rapids, MI, 49503.
Russell E JacobsZilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033.
Jean-François GoutDepartment of Biological Sciences, Mississippi State University, Starkville, MS, 39762.
Wendy J MackPopulation and Public Health Sciences, Keck School of Medicine of the University of Southern California, 1975 Zonal Ave, Los Angeles, CA 90033.ORCID 0000-0002-2474-7921
Henry Jay FormanLeonard Davis School of Gerontology, University of Southern California, 3715 McClintock Ave, Los Angeles, CA 90089.
Bérénice A BenayounLeonard Davis School of Gerontology, University of Southern California, 3715 McClintock Ave, Los Angeles, CA 90089.ORCID 0000-0002-7401-4777
Marc VermulstLeonard Davis School of Gerontology, University of Southern California, 3715 McClintock Ave, Los Angeles, CA 90089.
Mitchell D CohenDepartment of Medicine, New York University Grossman School of Medicine, New York, NY 10016.
Matthew CampenCollege of Pharmacy, University of New Mexico, Albuquerque, NM 87106.
Constantinos SioutasViterbi School of Engineering, University of Southern California, Los Angeles, CA, 90089.
William J MackKeck School of Medicine of the University of Southern California, Los Angeles, CA, USA 1975 Zonal Ave, Los Angeles, CA 90033.
Caleb E FinchLeonard Davis School of Gerontology, University of Southern California, 3715 McClintock Ave, Los Angeles, CA 90089.
Max A ThorwaldLeonard Davis School of Gerontology, University of Southern California, 3715 McClintock Ave, Los Angeles, CA 90089.ORCID 0000-0003-0095-5344

Funding

Urban Air Pollution and Pathological Brain Aging: A Nationwide Twin Study in MenP01AG055367 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MACK, WILLIAM J · 2018 to 2022
$11.5M
Amyloid and inflammation: modulation by apoE, gender, air pollution, and drugsRF1AG051521 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI FINCH, CALEB E · 2015 to 2015
$3.0M
NIA NIH HHS P01 AG055367NIA NIH HHS RF1 AG051521
6 · The paper itself

Abstract

Air pollution (AirP) exposure is associated with increased Alzheimer's disease (AD) risk, yet AirP is chemically heterogeneous, complicating identification of shared pathogenic drivers. We examined acute cortical responses to two metal-rich AirP sources, diesel exhaust particles (DEP) and World Trade Center (WTC) dust, and compared them to woodsmoke (WS), a particulate exposure with low metal content. DEP and WTC elicited highly convergent transcriptional responses, sharing over 1200 differentially expressed genes linked to inflammation, ferroptosis, neuronal remodeling, and amyloid processing. These changes were accompanied by impaired antioxidant activity and increased lipid peroxidation within lipid rafts, a membrane microdomain critical for amyloid processing, resulting in increased Aβ generation. In contrast, WS produced a distinct transcriptional signature and failed to induce ferroptotic priming or lipid peroxidation, consistent with its low metal composition. Together, these findings implicate metals as a shared driver linking diverse AirP exposures to amyloidogenic vulnerability and elevated AD risk.

Indexed as

Air pollutionGPx4Lipid raftsMetal neurotoxicityWhite matter vulnerability

Identifiers

PMID41542504
PMCPMC12803064

What OpenQuestion 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 OpenQuestion graph.