Evidence map›Paper›PMID 36056172›Full record

ArticleMolecular psychiatry2022

Integrative multi-omics landscape of fluoxetine action across 27 brain regions reveals global increase in energy metabolism and region-specific chromatin remodelling.

Nirmala Arul Rayan, Vibhor Kumar, Jonathan Aow, Naghmeh Rastegar, Michelle Gek Liang Lim, Nicholas O'Toole, Edita Aliwarga, Danusa Mar Arcego, Hui Ting Grace Yeo, Jen Yi Wong and 11 more

Open access · hybridAbstract read
In one paragraph

Article in Molecular psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 15% of its field
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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.

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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

21 authors at 3 institutions in 3 countries.

Nirmala Arul RayanGenome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, 138672, Singapore.
Vibhor Kumar *Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, 138672, Singapore.
Jonathan Aow *Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, 138672, Singapore.
Naghmeh Rastegar *Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, H4H 1R3, QC, Canada.
Michelle Gek Liang Lim *Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, 138672, Singapore.ORCID http://orcid.org/0000-0002-0542-2187
Nicholas O'Toole *Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, H4H 1R3, QC, Canada.
Edita AliwargaGenome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, 138672, Singapore.
Danusa Mar ArcegoDouglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, H4H 1R3, QC, Canada.
Hui Ting Grace YeoGenome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, 138672, Singapore.
Jen Yi WongGenome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, 138672, Singapore.
May Yin LeeGenome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, 138672, Singapore.ORCID http://orcid.org/0000-0003-2366-9463
Florian SchmidtGenome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, 138672, Singapore.
Hajira Shreen HajaGenome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, 138672, Singapore.
Wai Leong TamGenome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, 138672, Singapore.ORCID http://orcid.org/0000-0003-2365-5264
Tie-Yuan ZhangDouglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, H4H 1R3, QC, Canada.ORCID http://orcid.org/0000-0002-6368-2606
Josie DiorioDouglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, H4H 1R3, QC, Canada.
Christoph AnackerDepartment of Psychiatry, Columbia University and Research Foundation for Mental Hygiene, New York State Psychiatric Institute, 1051 Riverside Drive, New York, NY, 10032, USA.ORCID http://orcid.org/0000-0002-9880-6760
Rene HenDepartment of Psychiatry, Columbia University and Research Foundation for Mental Hygiene, New York State Psychiatric Institute, 1051 Riverside Drive, New York, NY, 10032, USA.
Carine ParentDouglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, H4H 1R3, QC, Canada.ORCID http://orcid.org/0000-0002-3941-3764
Michael J MeaneyDouglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, H4H 1R3, QC, Canada. Michael.meaney@mcgill.ca.
Shyam PrabhakarGenome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, 138672, Singapore. prabhakars@gis.a-star.edu.sg.ORCID http://orcid.org/0000-0002-6409-0661
Agency for Science, Technology and Research · SGDouglas Mental Health University Institute · CAResearch Foundation For Mental Hygiene · US

Funding

Agency for Science, Technology and Research (A*STAR) A*STAR (Ref.No. H18/01/a0/020)Hope for Depression Research Foundation (Depression Research Foundation) 840013
6 · The paper itself

Abstract

Depression and anxiety are major global health burdens. Although SSRIs targeting the serotonergic system are prescribed over 200 million times annually, they have variable therapeutic efficacy and side effects, and mechanisms of action remain incompletely understood. Here, we comprehensively characterise the molecular landscape of gene regulatory changes associated with fluoxetine, a widely-used SSRI. We performed multimodal analysis of SSRI response in 27 mammalian brain regions using 310 bulk RNA-seq and H3K27ac ChIP-seq datasets, followed by in-depth characterisation of two hippocampal regions using single-cell RNA-seq (20 datasets). Remarkably, fluoxetine induced profound region-specific shifts in gene expression and chromatin state, including in the nucleus accumbens shell, locus coeruleus and septal areas, as well as in more well-studied regions such as the raphe and hippocampal dentate gyrus. Expression changes were strongly enriched at GWAS loci for depression and antidepressant drug response, stressing the relevance to human phenotypes. We observed differential expression at dozens of signalling receptors and pathways, many of which are previously unknown. Single-cell analysis revealed stark differences in fluoxetine response between the dorsal and ventral hippocampal dentate gyri, particularly in oligodendrocytes, mossy cells and inhibitory neurons. Across diverse brain regions, integrative omics analysis consistently suggested increased energy metabolism via oxidative phosphorylation and mitochondrial changes, which we corroborated in vitro; this may thus constitute a shared mechanism of action of fluoxetine. Similarly, we observed pervasive chromatin remodelling signatures across the brain. Our study reveals unexpected regional and cell type-specific heterogeneity in SSRI action, highlights under-studied brain regions that may play a major role in antidepressant response, and provides a rich resource of candidate cell types, genes, gene regulatory elements and pathways for mechanistic analysis and identifying new therapeutic targets for depression and anxiety.

Indexed as

Chromatin Assembly and DisassemblyFluoxetineAnimalsAntidepressive AgentsBrainEnergy MetabolismHumansMammalsMultiomicsAntidepressive AgentsFluoxetine

Identifiers

PMID36056172
PMCPMC9734063
OpenAlexW4294281202

What Socratic holds

Textmetadata
LicenceCC BY
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.