Evidence map›Paper›PMID 35206594›Full record

ArticleInternational journal of environmental research and public health2022

Gut Microbiome Diversity and Abundance Correlate with Gray Matter Volume (GMV) in Older Adults with Depression.

Sungeun Melanie Lee, Michaela M Milillo, Beatrix Krause-Sorio, Prabha Siddarth, Lisa Kilpatrick, Katherine L Narr, Jonathan P Jacobs, Helen Lavretsky

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Interactions Between Antidepressants and Intestinal Microbiota.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2023
    Article
  11. Review
  12. Article
  13. Article
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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

8 authors.

Sungeun Melanie LeeDepartment of Psychiatry, Semel Institute for Neuroscience, University of California Los Angeles, 760 Westwood Plaza, Los Angeles, CA 90024, USA.
Michaela M MililloDepartment of Psychiatry, Semel Institute for Neuroscience, University of California Los Angeles, 760 Westwood Plaza, Los Angeles, CA 90024, USA.ORCID 0000-0003-1370-8297
Beatrix Krause-SorioDepartment of Psychiatry, Semel Institute for Neuroscience, University of California Los Angeles, 760 Westwood Plaza, Los Angeles, CA 90024, USA.
Prabha SiddarthDepartment of Psychiatry, Semel Institute for Neuroscience, University of California Los Angeles, 760 Westwood Plaza, Los Angeles, CA 90024, USA.
Lisa KilpatrickDepartment of Psychiatry, Semel Institute for Neuroscience, University of California Los Angeles, 760 Westwood Plaza, Los Angeles, CA 90024, USA.
Katherine L NarrBrain Research Institute, 635 Charles E Young Drive South, Los Angeles, CA 90095, USA.
Jonathan P JacobsUCLA Microbiome Center, David Geffen School of Medicine at UCLA, 10833 Le Conte Ave., Los Angeles, CA 90095, USA.ORCID 0000-0003-4698-0254
Helen LavretskyDepartment of Psychiatry, Semel Institute for Neuroscience, University of California Los Angeles, 760 Westwood Plaza, Los Angeles, CA 90024, USA.ORCID 0000-0001-9990-5085

Funding

UCLA Training Program in Translational Neuroscience of Drug Abuse (TNDA)T32DA024635 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LARA A. RAY, Kate M Wassum · 2008 to 2026
$6.2M
Mentoring and Research in Translational Science of Integrative MedicineK24AT009198 · NCCIH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Helen Lavretsky · 2016 to 2026
$1.4M
Modulation of the Intestinal Microbiome in Obesity by a High Protein DietIK2CX001717 · VA · VA GREATER LOS ANGELES HEALTHCARE SYSTEM · PI JACOBS, JONATHAN PATRICK · 2018 to 2023
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CSRD VA IK2 CX001717NCCIH NIH HHS K24 AT009198NIDA NIH HHS T32 DA024635
6 · The paper itself

Abstract

Growing evidence supports the concept that bidirectional brain-gut microbiome interactions play an important mechanistic role in aging, as well as in various neuropsychiatric conditions including depression. Gray matter volume (GMV) deficits in limbic regions are widely observed in geriatric depression (GD). We therefore aimed to explore correlations between gut microbial measures and GMV within these regions in GD. Sixteen older adults (>60 years) with GD (37.5% female; mean age, 70.6 (SD = 5.7) years) were included in the study and underwent high-resolution T1-weighted structural MRI scanning and stool sample collection. GMV was extracted from bilateral regions of interest (ROI: hippocampus, amygdala, nucleus accumbens) and a control region (pericalcarine). Fecal microbiota composition and diversity were assessed by 16S ribosomal RNA gene sequencing. There were significant positive associations between alpha diversity measures and GMV in both hippocampus and nucleus accumbens. Additionally, significant positive associations were present between hippocampal GMV and the abundance of genera Family_XIII_AD3011_group, unclassified Ruminococcaceae, and Oscillibacter, as well as between amygdala GMV and the genera Lachnospiraceae_NK4A136_group and Oscillibacter. Gut microbiome may reflect brain health in geriatric depression. Future studies with larger samples and the experimental manipulation of gut microbiome may clarify the relationship between microbiome measures and neuroplasticity.

Indexed as

Gastrointestinal MicrobiomeGray MatterAgedBrainDepressionFecesFemaleHumansMagnetic Resonance ImagingMalegeriatric depression (GD)gray matter volume (GMV)gut–brain axis

Identifiers

PMID35206594
PMCPMC8872347

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.