Evidence map›Paper›PMID 32299497›Full record

ArticleMicrobiome2020

Genetic and metabolic links between the murine microbiome and memory.

Jian-Hua Mao, Young-Mo Kim, Yan-Xia Zhou, Dehong Hu, Chenhan Zhong, Hang Chang, Colin J Brislawn, Sarah Fansler, Sasha Langley, Yunshan Wang and 8 more

Erratum issuedOpen access · goldAbstract readVideo-Audio Media
In one paragraph

Article in Microbiome, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
6.0field-weighted citation impact, top 3% 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

58 citing papers in PubMed, 115 citations in OpenAlex.

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  14. Ameliorating potential ofFrontiers in nutrition · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 5 institutions in 3 countries.

Jian-Hua MaoBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
Young-Mo KimEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA.
Yan-Xia ZhouBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
Dehong HuEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA.
Chenhan ZhongBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
Hang ChangBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
Colin J BrislawnEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA.
Sarah FanslerEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA.
Sasha LangleyBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
Yunshan WangBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
B Y Loulou PeislLuxembourg Centre for Systems Biomedicine, University of Luxembourg, 7, Avenue des Hauts Fourneaux, L-4362, Esch-sur-Alzette, Luxembourg.
Susan E CelnikerBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
David W ThreadgillDepartment of Veterinary Pathobiology, A&M University, College Station, Texas, USA.
Paul WilmesLuxembourg Centre for Systems Biomedicine, University of Luxembourg, 7, Avenue des Hauts Fourneaux, L-4362, Esch-sur-Alzette, Luxembourg.
Galya OrrEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA.
Thomas O MetzEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA.
Janet K JanssonEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA. Janet.Jansson@pnnl.gov.
Antoine M SnijdersBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA. AMSnijders@lbl.gov.
Lawrence Berkeley National Laboratory · USPacific Northwest National Laboratory · USUniversity of Luxembourg · LUShandong University · CNTexas A&M University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent evidence has linked the gut microbiome to host behavior via the gut-brain axis [1-3]; however, the underlying mechanisms remain unexplored. Here, we determined the links between host genetics, the gut microbiome and memory using the genetically defined Collaborative Cross (CC) mouse cohort, complemented with microbiome and metabolomic analyses in conventional and germ-free (GF) mice.

resultsA genome-wide association analysis (GWAS) identified 715 of 76,080 single-nucleotide polymorphisms (SNPs) that were significantly associated with short-term memory using the passive avoidance model. The identified SNPs were enriched in genes known to be involved in learning and memory functions. By 16S rRNA gene sequencing of the gut microbial community in the same CC cohort, we identified specific microorganisms that were significantly correlated with longer latencies in our retention test, including a positive correlation with Lactobacillus. Inoculation of GF mice with individual species of Lactobacillus (L. reuteri F275, L. plantarum BDGP2 or L. brevis BDGP6) resulted in significantly improved memory compared to uninoculated or E. coli DH10B inoculated controls. Untargeted metabolomics analysis revealed significantly higher levels of several metabolites, including lactate, in the stools of Lactobacillus-colonized mice, when compared to GF control mice. Moreover, we demonstrate that dietary lactate treatment alone boosted memory in conventional mice. Mechanistically, we show that both inoculation with Lactobacillus or lactate treatment significantly increased the levels of the neurotransmitter, gamma-aminobutyric acid (GABA), in the hippocampus of the mice.

conclusionTogether, this study provides new evidence for a link between Lactobacillus and memory and our results open possible new avenues for treating memory impairment disorders using specific gut microbial inoculants and/or metabolites. Video Abstract.

Indexed as

Gastrointestinal MicrobiomeMemoryAnimalsBacteriaDietary SupplementsFecesFemalegamma-Aminobutyric AcidGenome-Wide Association StudyGerm-Free LifeHost Microbial InteractionsLactatesLactobacillusMaleMetabolomicsMicegamma-Aminobutyric AcidLactatesRNA, Ribosomal, 16SCollaborative Cross mouse modelGABAGerm-freeGut–brain axisLactateLactobacillusMemoryMetabolites

Identifiers

PMID32299497
PMCPMC7164142
OpenAlexW3016350077

What OpenQuestion 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 OpenQuestion graph.