Evidence map›Paper›PMID 39617715›Full record

ArticleJournal of microbiology and biotechnology2024

Exploring the Characteristics of Gut Microbiota Associated with Depression via the Depression Assessment Scales.

Seok Won, Eun-Ju Kim, Seong-Eun Park, Mee-Hyun Lee, Juhan Pak, Kyeongok Kim, Hong-Seok Son, Jae-Hong Kim, Suryang Kwak

Abstract read
In one paragraph

Article in Journal of microbiology and biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Assessment of the beneficial effects ofFrontiers in neuroscience · 2026
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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

9 authors.

Seok WonDepartment of Bio and Fermentation Convergence Technology, College of Science and Technology, Kookmin University, Seoul 02707, Republic of Korea.
Eun-Ju KimDepartment of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul 02841, Republic of Korea.
Seong-Eun ParkDepartment of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul 02841, Republic of Korea.
Mee-Hyun LeeCollege of Korean Medicine, Dongshin University, Naju 58245, Republic of Korea.
Juhan PakDepartment of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul 02841, Republic of Korea.
Kyeongok KimDepartment of Neuropsychiatry, College of Korean Medicine, Dongshin University, Naju 58245, Republic of Korea.
Hong-Seok SonDepartment of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul 02841, Republic of Korea.
Jae-Hong KimDepartment of Acupuncture and Moxibustion Medicine, College of Korean Medicine, Dongshin University, Naju 58245, Republic of Korea.
Suryang KwakDepartment of Bio and Fermentation Convergence Technology, College of Science and Technology, Kookmin University, Seoul 02707, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Depression is a prevalent mental disorder with an increasing economic burden, and its pathogenesis remains poorly understood. Given the emerging evidence linking the gut microbiota to mental health, a better understanding of microbial profiles associated with depression is necessary. Here, we explore the association between gut microbiota and depression by utilizing 16S rRNA amplicon sequencing and depression assessment scales, including the Hamilton Depression Rating Scale (HDRS) and the Beck Depression Inventory (BDI). The study cohort consisted of 46 subjects, who were categorized into depression and normal groups based on medical diagnoses and depression scale scores. Our analyses revealed that HDRS-based classification better identified distinct gut microbiota structures associated with depression than medical diagnoses alone. Notably, lower beta diversity was observed in individuals with depression, indicating a more homogeneous gut microbial community. By employing both HDRS and BDI scores simultaneously, we identified specific taxa, such as

Indexed as

BacteriaDepressionGastrointestinal MicrobiomeRNA, Ribosomal, 16SAdultAgedCohort StudiesDNA, BacterialFecesFemaleHumansMaleMiddle AgedPsychiatric Status Rating ScalesDNA, BacterialRNA, Ribosomal, 16Sassessment scalesDepressiongut microbiota

Identifiers

PMID39617715
PMCPMC11813341

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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.