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Traffic-related air pollution impact on mouse brain accelerates myelin and neuritic aging changes with specificity for CA1 neurons
Woodward NC, Pakbin P, Saffari A, Shirmohammadi F, Haghani A, Sioutas C, Cacciottolo M, Morgan TE et al.. Neurobiology of aging, 2017-01-13
Topic: Air pollution and environmental exposures
Traffic-related air pollution (TRAP) is associated with lower cognition and reduced white matter volume in older adults, specifically for particulate matter <2.5-μm diameter (PM 2.5 ). Rodents exposed to TRAP have shown microglial activation and neuronal atrophy. We further investigated age differences of TRAP exposure, with focus on hippocampus for neuritic atrophy, white matter degeneration, and microglial activation. Young- and middle-aged mice (3 and 18 months female C57BL/6J) were exposed to nanoscale-PM (nPM, <0.2 μm diameter). Young mice showed selective changes in the hippocampal CA1 region, with neurite atrophy (-25%), decreased MBP (-50%), and increased Iba1 (+50%), with dentate gyrus relatively unaffected. Exposure to nPM of young mice decreased GluA1 protein (-40%) and increased TNFa mRNA (10×). Older controls had age changes approximating nPM effects on young, with no response to nPM, suggesting an age-ceiling effect. The CA1 selective vulnerability in young mice parallels CA1 vulnerability in Alzheimer's disease. We propose that TRAP-associated human cognitive and white matter changes involve hippocampal responses to nPM that begin at younger ages.
Key findings
- Traffic-related air pollution (TRAP) is associated with lower cognition and reduced white matter volume in older adults, specifically for particulate matter <2.5-μm diameter (PM 2.5 ).
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Study details
- Evidence strengthLow
How this study scored 38/100
Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported and randomised / blinded because the record does not state it. We have no data on journal's citation record, times cited, citations per year, impact for its field and year, cited by studies here, still being cited, senior author's track record, institution's track record and multi-centre collaboration, so those were left out: it earned 22 of the 58 points we could judge it on, which is 38 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Neurobiology of aging) |
| Journal's citation record | — / 4 | No journal record from OpenAlex — left out of this score |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 2 / 5 | 2017 — within 10 year(s) of the newest study here |
| Sample size | 0 / 4 | Participant count not stated — scores zero (not stated in the record — scored 0) |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 0 / 3 | Laboratory or animal study (title names “mouse”) — scores zero |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | — / 7 | No citation count (not found in OpenAlex) — left out of this score |
| Citations per year | — / 5 | No citation count or no year — left out of this score |
| Impact for its field and year | — / 6 | No field-weighted citation impact (OpenAlex has none yet) — left out of this score |
| Cited by studies here | — / 6 | Not yet checked against this library's citation graph — left out of this score |
| Still being cited | — / 4 | No yearly citation counts — left out of this score |
| Senior author's track record | — / 4 | Senior author's record not available — left out of this score |
| Institution's track record | — / 3 | No institution listed in OpenAlex — left out of this score |
| Multi-centre collaboration | — / 3 | Institutions not listed — left out of this score |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 28212893) |
| Free to read | 0 / 2 | Behind a paywall — scores zero |
| Points | 22 / 58 | Scored on 11 of 20 parts. We have no data for the rest, so they are left out: 22 of the 58 points we could judge it on is 38 out of 100. |
| Total | 38 / 100 | — |
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APA 7th
Woodward, N. C., Pakbin, P., Saffari, A., Shirmohammadi, F., Haghani, A., Sioutas, C., et al. (2017). Traffic-related air pollution impact on mouse brain accelerates myelin and neuritic aging changes with specificity for CA1 neurons. Neurobiology of aging. https://doi.org/10.1016/j.neurobiolaging.2017.01.007
Vancouver
Woodward NC, Pakbin P, Saffari A, Shirmohammadi F, Haghani A, Sioutas C, et al. Traffic-related air pollution impact on mouse brain accelerates myelin and neuritic aging changes with specificity for CA1 neurons. Neurobiology of aging. 2017. doi:10.1016/j.neurobiolaging.2017.01.007. PMID: 28212893.
BibTeX
@article{woodward2017-28212893,
author = {Woodward, N. C. and Pakbin, P. and Saffari, A. and Shirmohammadi, F. and Haghani, A. and Sioutas, C. and Cacciottolo, M. and Morgan, T. E. and others},
title = {{Traffic-related air pollution impact on mouse brain accelerates myelin and neuritic aging changes with specificity for CA1 neurons}},
journal = {Neurobiology of aging},
year = {2017},
doi = {10.1016/j.neurobiolaging.2017.01.007},
pmid = {28212893},
url = {https://doi.org/10.1016/j.neurobiolaging.2017.01.007}
}
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