Evidence map›Paper›PMID 40212761›Full record

ArticleSmall science2024

Modelling Human Gut-Microbiome Interactions in a 3D Bioelectronic Platform.

Chrysanthi-Maria Moysidou, Douglas C van Niekerk, Verena Stoeger, Charalampos Pitsalidis, Lorraine A Draper, Aimee M Withers, Katherine Hughes, Reece McCoy, Rachana Acharya, Colin Hill and 1 more

Abstract read
In one paragraph

Article in Small science, 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
–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

4 citing papers in PubMed.

  1. Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
    Review
  2. Comparison of 2D, 3DBioengineering (Basel, Switzerland) · 2026
    Article
  3. Review
  4. Deliberating the scientific evidence base for influenza transmission to raw milk consumers.Risk analysis : an official publication of the Society for Risk Analysis · 2025
    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

11 authors.

Chrysanthi-Maria MoysidouDepartment of Chemical Engineering and Biotechnology University of Cambridge Cambridge CB3 0AS UK.
Douglas C van NiekerkDepartment of Chemical Engineering and Biotechnology University of Cambridge Cambridge CB3 0AS UK.ORCID https://orcid.org/0000-0002-6449-7808
Verena StoegerDepartment of Chemical Engineering and Biotechnology University of Cambridge Cambridge CB3 0AS UK.
Charalampos PitsalidisDepartment of Chemical Engineering and Biotechnology University of Cambridge Cambridge CB3 0AS UK.
Lorraine A DraperAPC Microbiome Ireland University College Cork Cork T12 YT20 Ireland.
Aimee M WithersDepartment of Chemical Engineering and Biotechnology University of Cambridge Cambridge CB3 0AS UK.
Katherine HughesDepartment of Veterinary Medicine University of Cambridge Cambridge CB3 0ES UK.
Reece McCoyDepartment of Chemical Engineering and Biotechnology University of Cambridge Cambridge CB3 0AS UK.
Rachana AcharyaDepartment of Chemical Engineering and Biotechnology University of Cambridge Cambridge CB3 0AS UK.
Colin HillAPC Microbiome Ireland University College Cork Cork T12 YT20 Ireland.
Róisín M OwensDepartment of Chemical Engineering and Biotechnology University of Cambridge Cambridge CB3 0AS UK.ORCID https://orcid.org/0000-0001-7856-2108

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The role of the gut microbiome in various aspects of health and disease is now a well-established concept in modern biomedicine. Numerous studies have revealed links between host health and microbial activity, spanning from digestion and metabolism to autoimmune disorders, stress and neuroinflammation. However, the exact mechanisms underlying this complex cross-talk still remain a mystery. Conventionally, studies examining host-microbiome interactions rely on animal models, but translation of such findings into human systems is challenging. Bioengineered models represent a highly promisingapproach for tackling such challenges. Here, a bioelectronic platform, the e-transmembrane, is used to establish a 3D model of human intestine, to study the effects of microbiota on gut barrier integrity. More specifically, how postbiotics and live bacteria impact the morphology and function of the intestinal barrier is evaluated. e-Transmembrane devices provide a means for in-line and label-free continuous monitoring of host-microbe cross-talk using electrochemical impedance spectroscopy, revealing distinct patterns that emerge over 24 hours. Microscopy and quantification of molecular biomarkers further validate the differential effects of each bacterial intervention on the host tissue. In addition, a framework to better study and screen drug candidates and potential therapeutic/dietary interventions, such as postbiotics and probiotics, in more physiologically relevant human models is provided.

Indexed as

3D cell modelsbarrier integritybioelectronicsgut microbiomehost‐microbe interactionsorgans‐on‐chipspostbiotics

Identifiers

PMID40212761
PMCPMC11935216

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.