Evidence map›Paper›PMID 30955108›Full record

ArticlePsychopharmacology2019

The role of microbiota and inflammation in self-judgement and empathy: implications for understanding the brain-gut-microbiome axis in depression.

N Heym, B C Heasman, K Hunter, S R Blanco, G Y Wang, R Siegert, A Cleare, G R Gibson, V Kumari, A L Sumich

Open access · hybridAbstract read
In one paragraph

Article in Psychopharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 2 pooled it
3.6field-weighted citation impact, top 6% 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

36 citing papers in PubMed, 2 syntheses or guidelines pooled it, 81 citations in OpenAlex.

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  16. Fecal Microbiota Composition as a Metagenomic Biomarker of Dietary Intake.International journal of molecular sciences · 2023
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  19. Reproducible microbiome composition signatures of anxiety and depressive symptoms.Computational and structural biotechnology journal · 2023
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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

10 authors at 5 institutions in 2 countries.

N HeymDivision of Psychology, Nottingham Trent University, Nottingham, NG1 4FQ, UK. nadja.heym@ntu.ac.uk.ORCID http://orcid.org/0000-0003-2414-8854
B C HeasmanDivision of Psychology, Nottingham Trent University, Nottingham, NG1 4FQ, UK.
K HunterDivision of Sports Science, Nottingham Trent University, Nottingham, UK.
S R BlancoDivision of Psychology, Nottingham Trent University, Nottingham, NG1 4FQ, UK.
G Y WangDepartment of Psychology, Auckland University of Technology, Auckland, New Zealand.
R SiegertDepartment of Psychology, Auckland University of Technology, Auckland, New Zealand.
A CleareInstitute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
G R GibsonFood and Nutritional Sciences, University of Reading, Reading, UK.
V KumariCentre for Cognitive Neuroscience, Brunel University London, Uxbridge, UK.
A L SumichDivision of Psychology, Nottingham Trent University, Nottingham, NG1 4FQ, UK.
Nottingham Trent University · GBAuckland University of Technology · NZBrunel University of London · GBKing's College London · GBUniversity of Reading · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationaleThe gut-brain axis includes bidirectional communication between intestinal microbiota and the central nervous system. Bifidobacterium and Lactobacillus spp. have been implicated in psychological health, such as depression, through various pathways (e.g. inflammation). Research needs a better understanding of direct and indirect effects through examination of psychological factors that make people susceptible to, or offer protection against, depression.

objectiveThis study investigated the relationships between gut microbiota, inflammation and psychological risk and resilience factors for depression.

methodsForty participants (13 m/27 f) recruited from the general population completed self-report questionnaires for depression, self-judgement, over-identification and affective and cognitive empathy. Faecal and blood samples were taken to assay microbiota (Bifidobacterium; Lactobacillus spp.) and pro-inflammatory molecules (C-reactive protein, CRP and interleukin-6, IL-6), respectively.

resultsHierarchical regression analyses (controlling for sex, age and the shared variance of risk and resilience factors) showed that (i) cognitive depression was significantly predicted by negative self-judgement and reduced cognitive empathy; (ii) abundance of Lactobacillus spp. was directly related to positive self-judgement but only indirectly to cognitive depression and lower affective empathy (both through self-judgement); and (iii) CRP was the strongest predictor of reduced cognitive empathy, with suppression effects seen for age (negative) and IL-6 (positive) after controlling for CRP.

conclusionsFindings suggest that lactobacilli and inflammation may be differentially associated with mood disorder via brain mechanisms underpinning self-judgement and cognitive empathy, respectively. Further trials investigating interventions to increase Lactobacillus spp. in depression would benefit from direct measures of self-judgement and affective empathic distress, whilst those that aim to reduce inflammation should investigate cognitive empathy.

Indexed as

AdultBrainDepressionEmpathyFemaleGastrointestinal MicrobiomeHumansInflammationInflammation MediatorsJudgmentLactobacillusMaleMiddle AgedYoung AdultInflammation MediatorsBrain-gut-microbiota axisCognitive empathy, affective empathy, over-identificationDepressionInflammationLactobacillusSelf-judgement

Identifiers

PMID30955108
PMCPMC6598942
OpenAlexW2929739409

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.