Evidence map›Paper›PMID 42877673›Full record

ArticleAddiction neuroscience2026

Molecular impact of nicotine and smoking exposure on the developing and adult mouse brain.

Daianna Gonzalez-Padilla, Nicholas J Eagles, Marisol Cano, Geo Pertea, Andrew E Jaffe, Kristen R Maynard, Dana B Hancock, James T Handa, Keri Martinowich, Leonardo Collado-Torres

Abstract read
In one paragraph

Article in Addiction neuroscience, 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

10 authors.

Daianna Gonzalez-PadillaLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, 21205, USA.ORCID 0009-0005-8348-3195
Nicholas J EaglesLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, 21205, USA.ORCID 0000-0002-9808-5254
Marisol CanoWilmer Eye Institute, Johns Hopkins School of Medicine, Baltimore, MD, 21287, USA.
Geo PerteaLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, 21205, USA.ORCID 0000-0001-8477-0982
Andrew E JaffeLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, 21205, USA.ORCID 0000-0001-6886-1454
Kristen R MaynardLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, 21205, USA.ORCID 0000-0003-0031-8468
Dana B HancockRTI International, Research Triangle Park, NC, 27709, USA.ORCID 0000-0003-2240-3604
James T HandaWilmer Eye Institute, Johns Hopkins School of Medicine, Baltimore, MD, 21287, USA.ORCID 0000-0003-1314-1745
Keri MartinowichLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, 21205, USA.ORCID 0000-0002-5237-0789
Leonardo Collado-TorresLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, 21205, USA.ORCID 0000-0003-2140-308X

Funding

Regulation of neural activity in fear circuits by promoter IV derived BDNFR01MH105592 · NIMH · LIEBER INSTITUTE, INC. · PI MARTINOWICH, KERI · 2015 to 2024
$5.6M
Integrating Epigenomics in Human Brain and Genomics of Nicotine DependenceR01DA042090 · NIDA · RESEARCH TRIANGLE INSTITUTE · PI HANCOCK, DANA B · 2016 to 2020
$3.5M
Targeting lysosome/RPE heterogeneity in AMD pathobiology as a novel therapyR01EY031594 · NEI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HANDA, JAMES T, SINHA, DEBASISH · 2021 to 2024
$2.4M
Does age/stress-induced mitochondrial dysfunction induce variations in RPE phenotype in AMD?R01EY035805 · NEI · TULANE UNIVERSITY OF LOUISIANA · PI James T Handa, Shusheng Wang · 2024 to 2026
$1.9M
The role of epigenetics in RPE heterogeneity with early AMDR01EY033765 · NEI · JOHNS HOPKINS UNIVERSITY · PI HANDA, JAMES T · 2022 to 2025
$1.8M
NEI NIH HHS R01 EY031594NEI NIH HHS R01 EY033765NEI NIH HHS R01 EY035805NIDA NIH HHS R01 DA042090NIMH NIH HHS R01 MH105592
6 · The paper itself

Abstract

Maternal smoking during pregnancy (MSDP) is associated with cognitive and behavioral effects on offspring. Although neurodevelopmental effects of prenatal nicotine exposure (PNE) have been described, the extent to which the molecular impacts of MSDP are attributable to nicotine remains unclear. In addition, the molecular responses to cigarette smoke in the developing and mature brain have not been contrasted. Distinguishing nicotine-specific effects from broader consequences of tobacco exposure is required to inform therapies for affected newborns and cessation strategies for pregnant women. In this study, pregnant mice received nicotine or were exposed to chronic cigarette smoke, and RNA sequencing was performed on frontal cortices of postnatal day 0 pups and adult dams. A total of 1010 and 4165 differentially expressed genes (DEGs) were identified in the nicotine and smoking-exposed pup brain, respectively (19 nicotine-exposed vs 23 vehicle-exposed; 42 smoking-exposed vs 46 controls). PNE was related to dopaminergic synapses and long-term synaptic depression and MSDP to functions of the SNARE complex and vesicle transport. No DEGs at FDR<0.05 were found in adult mouse brain for any exposure (11 nicotine-administered vs 7 vehicle-administered; 10 smoking-exposed vs 11 controls), nor in whole blood of adult dams-analyzed as proxy for brain effects (12 smoking-exposed vs 11 controls). Nonetheless, 29% and 43% of DEGs in smoking-exposed pup brain replicated in blood and human prenatal brain, respectively. Results demonstrate shared and unique effects of PNE and MSDP on the developing brain, attenuated impacts on adult brain, and convergent gene targets in human brain.

Indexed as

Bulk RNA-seqGestational smokingNeurodevelopmentPrenatal nicotine exposureSubstance use disorders

Identifiers

PMID42877673
PMCPMC13662931

What OpenQuestion holds

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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.