Evidence map›Paper›PMID 37833792›Full record

ArticleJournal of cheminformatics2023

Analysis of metabolites in human gut: illuminating the design of gut-targeted drugs.

Alberto Gil-Pichardo, Andrés Sánchez-Ruiz, Gonzalo Colmenarejo

Abstract read
In one paragraph

Article in Journal of cheminformatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Alberto Gil-Pichardo *Biostatistics and Bioinformatics Unit, IMDEA Food, CEI UAM+CSIC, 28049, Madrid, Spain.
Andrés Sánchez-Ruiz *Biostatistics and Bioinformatics Unit, IMDEA Food, CEI UAM+CSIC, 28049, Madrid, Spain.
Gonzalo ColmenarejoBiostatistics and Bioinformatics Unit, IMDEA Food, CEI UAM+CSIC, 28049, Madrid, Spain. gonzalo.colmenarejo@imdea.org.ORCID https://orcid.org/0000-0002-8249-4547

Funding

Consejería de Ciencia, Universidades e Innovación de la Comunidad de Madrid, Spain PEJ-2020-AI/BIO-17904MCIN/AEI/10.13039/501100011033 PID2021-127318OB-I00
6 · The paper itself

Abstract

Gut-targeted drugs provide a new drug modality besides that of oral, systemic molecules, that could tap into the growing knowledge of gut metabolites of bacterial or host origin and their involvement in biological processes and health through their interaction with gut targets (bacterial or host, too). Understanding the properties of gut metabolites can provide guidance for the design of gut-targeted drugs. In the present work we analyze a large set of gut metabolites, both shared with serum or present only in gut, and compare them with oral systemic drugs. We find patterns specific for these two subsets of metabolites that could be used to design drugs targeting the gut. In addition, we develop and openly share a Super Learner model to predict gut permanence, in order to aid in the design of molecules with appropriate profiles to remain in the gut, resulting in molecules with putatively reduced secondary effects and better pharmacokinetics.

Indexed as

CheminformaticsDrug designGut metabolomeGut microbiomeGut-targeted drugsMachine learningNew drug modalitiesPhysiochemical properties

Identifiers

PMID37833792
PMCPMC10571276

What Socratic 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 Socratic graph.