Evidence map›Paper›PMID 34569968›Full record

ArticleJournal of Alzheimer's disease : JAD2021

The Use of Standardized Diesel Exhaust Particles in Alzheimer's Disease Research.

Michelle L Block, Urmila P Kodavanti

Abstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Air pollution amyloidogenesis is attenuated by the gamma-secretase modulator GSM-15606.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  3. Article
  4. 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

2 authors.

Michelle L BlockDepartment of Pharmacology and Toxicology, The Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA.
Urmila P KodavantiCardiopulmonary and Immunotoxicology Branch, Public Health and Integrated Toxicology Division, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA.

Funding

The Neuroimmune Hypothesis of Paraquat: Connecting the Periphery and BrainR01ES028104 · NIEHS · INDIANA UNIVERSITY INDIANAPOLIS · PI BLOCK, MICHELLE L · 2018 to 2022
$2.1M
HMGB1, Chlorpyrifos, and Persistent GWI-like NeuropathologyR01ES029835 · NIEHS · INDIANA UNIVERSITY INDIANAPOLIS · PI BLOCK, MICHELLE L · 2018 to 2022
$1.9M
O3 and the Lung-Brain Axis: Regulating Alzheimer's-like NeuropathologyI01BX004161 · VA · RLR VA MEDICAL CENTER · PI BLOCK, MICHELLE L · 2018 to 2021
–
BLRD VA I01 BX004161NIEHS NIH HHS R01 ES028104NIEHS NIH HHS R01 ES029835
6 · The paper itself

Abstract

The mechanisms underlying how urban air pollution exposure conveys Alzheimer's disease risk and affects plaque pathology is largely unknown. Because particulate matter, the particle component of urban air pollution, varies across location, pollution source, and time, a single model representative of all ambient particulate matter is unfeasible for research investigating the role of ar pollution in central nervous system diseases. More specifically, the investigation of several models of particulate matter with enrichment of source-specific components are essential to employ, in order to more fully understand what characteristics of particulate matter affects Alzheimer's disease, including standardized diesel exhaust particles.

Indexed as

Biomedical ResearchAir PollutionAlzheimer DiseaseHumansParticulate MatterVehicle EmissionsParticulate MatterVehicle EmissionsAir pollutionAlzheimer’s diseasediesel exhaust particlesparticulate matter models

Identifiers

PMID34569968
PMCPMC9466645

What Socratic holds

Textmetadata
LicenceTDM
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.