Evidence map›Paper›PMID 38336806›Full record

ArticleGut pathogens2024

Intestinal metabolites predict treatment resistance of patients with depression and anxiety.

Juntaro Matsuzaki, Shunya Kurokawa, Chiaki Iwamoto, Katsuma Miyaho, Akihiro Takamiya, Chiharu Ishii, Akiyoshi Hirayama, Kenji Sanada, Shinji Fukuda, Masaru Mimura and 2 more

Open access · goldAbstract read
In one paragraph

Article in Gut pathogens, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Human Gut Microbiota for Diagnosis and Treatment of Depression.International journal of molecular sciences · 2024
    Review
  3. Review
  4. Review
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

12 authors at 3 institutions in 1 country.

Juntaro MatsuzakiDivision of Pharmacotherapeutics, Keio University Faculty of Pharmacy, 1-5-30 Shibakoen, Minato-ku, Tokyo, 105-8512, Japan. juntaro.matsuzaki@keio.jp.
Shunya KurokawaHills Joint Research Laboratory for Future Preventive Medicine and Wellness, Keio University School of Medicine, Azabudai Hills Mori JP Tower 7F, 1-3-1 Azabudai, Minato-ku, Tokyo, 106-0041, Japan.
Chiaki IwamotoDivision of Pharmacotherapeutics, Keio University Faculty of Pharmacy, 1-5-30 Shibakoen, Minato-ku, Tokyo, 105-8512, Japan.
Katsuma MiyahoDepartment of Psychiatry, Showa University Graduate School of Medicine, Tokyo, Japan.
Akihiro TakamiyaHills Joint Research Laboratory for Future Preventive Medicine and Wellness, Keio University School of Medicine, Azabudai Hills Mori JP Tower 7F, 1-3-1 Azabudai, Minato-ku, Tokyo, 106-0041, Japan.
Chiharu IshiiInstitute for Advanced Biosciences, Keio University, Yamagata, Japan.
Akiyoshi HirayamaInstitute for Advanced Biosciences, Keio University, Yamagata, Japan.
Kenji SanadaDepartment of Psychiatry, Showa University Graduate School of Medicine, Tokyo, Japan.
Shinji FukudaInstitute for Advanced Biosciences, Keio University, Yamagata, Japan.
Masaru MimuraDepartment of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.
Taishiro KishimotoHills Joint Research Laboratory for Future Preventive Medicine and Wellness, Keio University School of Medicine, Azabudai Hills Mori JP Tower 7F, 1-3-1 Azabudai, Minato-ku, Tokyo, 106-0041, Japan. tkishimoto@keio.jp.
Yoshimasa SaitoDivision of Pharmacotherapeutics, Keio University Faculty of Pharmacy, 1-5-30 Shibakoen, Minato-ku, Tokyo, 105-8512, Japan.
Keio University · JPShowa University · JPUniversity of Tsukuba · JP

Funding

Japan Agency for Medical Research and Development Core Research for Evolutional Science and Technology JP19gm1010009Japan Science and Technology Agency Exploratory Research for Advanced Technology JPMJER1902Japan Society for the Promotion of Science 22H03541
6 · The paper itself

Abstract

backgroundThe impact of the gut microbiota on neuropsychiatric disorders has gained much attention in recent years; however, comprehensive data on the relationship between the gut microbiome and its metabolites and resistance to treatment for depression and anxiety is lacking. Here, we investigated intestinal metabolites in patients with depression and anxiety disorders, and their possible roles in treatment resistance.

resultsWe analyzed fecal metabolites and microbiomes in 34 participants with depression and anxiety disorders. Fecal samples were obtained three times for each participant during the treatment. Propensity score matching led us to analyze data from nine treatment responders and nine non-responders, and the results were validated in the residual sample sets. Using elastic net regression analysis, we identified several metabolites, including N-ε-acetyllysine; baseline levels of the former were low in responders (AUC = 0.86; 95% confidence interval, 0.69-1). In addition, fecal levels of N-ε-acetyllysine were negatively associated with the abundance of Odoribacter. N-ε-acetyllysine levels increased as symptoms improved with treatment.

conclusionFecal N-ε-acetyllysine levels before treatment may be a predictive biomarker of treatment-refractory depression and anxiety. Odoribacter may play a role in the homeostasis of intestinal L-lysine levels. More attention should be paid to the importance of L-lysine metabolism in those with depression and anxiety.

Indexed as

AnxietyDepressionElastic net analysisN-ε-acetyllysineOdoribacter

Identifiers

PMID38336806
PMCPMC10854080
OpenAlexW4391680114

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.