Evidence map›Paper›PMID 42496113›Full record

Trial reportMicrobiology spectrum2026

Resistant starch types 2 and 4 induce distinct and reversible changes in the human gut microbiome.

Elisa Piperni, Aitor Blanco-Míguez, Claudia Mengoni, Gianmarco Piccinno, Michal Punčochář, Jennifer Ren, Nicola Segata, Francesco Asnicar, Angela C Poole

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Microbiology spectrum, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Elisa PiperniDepartment CIBIO, University of Trento, Trento, Italy.ORCID 0000-0001-9361-7875
Aitor Blanco-MíguezDepartment CIBIO, University of Trento, Trento, Italy.ORCID 0000-0001-7386-5572
Claudia MengoniDepartment CIBIO, University of Trento, Trento, Italy.ORCID 0000-0001-9629-2930
Gianmarco PiccinnoDepartment CIBIO, University of Trento, Trento, Italy.
Michal PunčochářDepartment CIBIO, University of Trento, Trento, Italy.ORCID 0000-0002-1915-9391
Jennifer RenDivision of Nutritional Sciences, Cornell University, Ithaca, New York, USA.
Nicola SegataDepartment CIBIO, University of Trento, Trento, Italy.ORCID 0000-0002-1583-5794
Francesco AsnicarDepartment CIBIO, University of Trento, Trento, Italy.ORCID 0000-0003-3732-1468
Angela C PooleDivision of Nutritional Sciences, Cornell University, Ithaca, New York, USA.ORCID 0000-0003-0278-7655

Funding

Cornell University Start-up FundsEuropean Union 101045015European Union NextGenerationEUMinistry of University and Research CUP E53C25000400001
6 · The paper itself

Abstract

Resistant starch (RS) can confer benefits for the gut microbiome and host cardiometabolic health. However, different types of resistant starch can differentially affect gut microbiome composition and functional capacity, especially given interindividual variability in responses, thus limiting the application of resistant starch in dietary strategies. We used shotgun metagenomics to perform a secondary analysis of samples collected during a previously reported randomized clinical trial to determine the effects of dietary supplementation with two types of resistant starch (RS2 and RS4) and a digestible starch (control) on the gut microbiome. Both resistant starch types induced distinct but transient alterations in the gut microbial community. RS2 enriched the keystone degrader,

Indexed as

BacteriaGastrointestinal MicrobiomeResistant StarchStarchDietary SupplementsFecesHumansMetagenomicsResistant StarchStarchamylasesCAZymesgut microbiomemetagenomicsresistant starch

Identifiers

PMID42496113
PMCPMC13532264

What OpenQuestion holds

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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.