Evidence map›Paper›PMID 41412512›Full record

ArticleNeuropharmacology2026

Age-dependent transcriptomic effects of morphine in the frontal cortex of female mice.

Jarvis Savage, Anupama Rai, Jonathan D Lee, Jane Banahan, Kristina Dujic, Masiel Nunez, Barbara Caldarone, Sarbani Ghoshal, Frank J Slack, Maria Mavrikaki

Abstract read
In one paragraph

Article in Neuropharmacology, 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

10 authors.

Jarvis SavageDepartment of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, 02115, USA; Duke University, Durham, NC, USA.
Anupama RaiDepartment of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, 02115, USA.
Jonathan D LeeDepartment of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, 02115, USA.
Jane BanahanDepartment of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, 02115, USA.
Kristina DujicDepartment of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, 02115, USA; Queensborough Community College, New York, USA.
Masiel NunezDepartment of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, 02115, USA; Queensborough Community College, New York, USA.
Barbara CaldaroneHarvard Mouse Behavioral Core, Boston, MA, 02115, USA.
Sarbani GhoshalQueensborough Community College, New York, USA.
Frank J SlackDepartment of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, 02115, USA; Harvard Medical School Initiative for RNA Medicine, Harvard Medical School, Boston, MA, 02115, USA. Electronic address: fslack@bidmc.harvard.edu.
Maria MavrikakiDepartment of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, 02115, USA; Harvard Medical School Initiative for RNA Medicine, Harvard Medical School, Boston, MA, 02115, USA. Electronic address: mmavrika@bidmc.harvard.edu.

Funding

Non-coding RNAs in resilience to Alzheimer’s DiseaseR01AG082093 · NIA · BETH ISRAEL DEACONESS MEDICAL CENTER · PI Winston Alexander Hide, Doo Yeon Kim · 2023 to 2026
$3.4M
Molecular mechanisms of aging and accelerated aging in the human brainR01AG079799 · NIA · BETH ISRAEL DEACONESS MEDICAL CENTER · PI Maria Mavrikaki · 2023 to 2026
$2.7M
Juvenile microRNAs promoting healthier adult agingR01AG058816 · NIA · BETH ISRAEL DEACONESS MEDICAL CENTER · PI SLACK, FRANK J. · 2018 to 2022
$1.9M
NIA NIH HHS R01 AG058816NIA NIH HHS R01 AG079799NIA NIH HHS R01 AG082093
6 · The paper itself

Abstract

Increasing lifespans make health problems in the elderly such as opioid misuse a more prominent concern. Understanding the effects that opioids may have on the aged brain can help us address age-related concerns of opioid exposure. This study aimed to assess potential interactions between aging and opioid exposure. Three-month-old (young adult) and 19-month-old (aged) C57BL/6JN mice were assigned to either a morphine (3 mg/kg, i.p.) or saline group. A conditioned placed preference (CPP) task was used to assess reward sensitivity, while rotarod and beam walk tests were used to assess sensorimotor coordination. To assess for potential age-dependent effects of morphine on gene expression, we performed RNA sequencing in the prefrontal cortex (PFC). We found that morphine induced CPP in both age groups. Our results indicate impaired motor coordination in aged mice; however, morphine did not significantly affect motor coordination in either age group, although a trend toward an increased number of slips was observed in morphine-treated aged mice. Transcriptomic analysis revealed more robust effects of morphine on gene expression in the aged brain compared to the young brain. Interestingly, we found limited overlap between morphine-regulated genes in young and old mice, suggesting that the molecular effects of morphine are age-dependent. Taken together, while we found no significant interactions between morphine (at the tested dose) and aging in the behavioral assays, morphine caused age-dependent gene expression changes. Our findings suggest that age should be considered when prescribing opioids and that age-specific therapeutics may help address opioid use disorder in the elderly.

Indexed as

AgingAnalgesics, OpioidFrontal LobeMorphinePrefrontal CortexTranscriptomeAge FactorsAnimalsFemaleMiceMice, Inbred C57BLPsychomotor PerformanceRewardAnalgesics, OpioidMorphineCoordinationFrontal cortexGene expressionMorphineOpioidsReward sensitivity

Identifiers

PMID41412512
PMCPMC12921680

What OpenQuestion holds

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Registered trials

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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.