Evidence map›Paper›PMID 38811586›Full record

ArticleNature communications2024

Mucus production, host-microbiome interactions, hormone sensitivity, and innate immune responses modeled in human cervix chips.

Zohreh Izadifar, Justin Cotton, Siyu Chen, Viktor Horvath, Anna Stejskalova, Aakanksha Gulati, Nina T LoGrande, Bogdan Budnik, Sanjid Shahriar, Erin R Doherty and 7 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Organ-on-a-chip toxicology.Innovation (Cambridge (Mass.)) · 2026
    Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Frontiers in global women's health · 2026
    Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. MUC15 Ectodomain Architecture Regulates Integrin Clustering to Control Cancer Metastasis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  20. 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

17 authors.

Zohreh IzadifarWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, 02215, USA.
Justin CottonWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, 02215, USA.ORCID http://orcid.org/0000-0001-6279-1854
Siyu ChenDepartment of Chemistry, University of California Davis, Davis, California, Davis, CA, 95616, USA.ORCID http://orcid.org/0009-0003-9584-6905
Viktor HorvathWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, 02215, USA.ORCID http://orcid.org/0000-0001-9957-1521
Anna StejskalovaWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, 02215, USA.ORCID http://orcid.org/0000-0003-4813-6452
Aakanksha GulatiWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, 02215, USA.
Nina T LoGrandeWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, 02215, USA.
Bogdan BudnikWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, 02215, USA.
Sanjid ShahriarWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, 02215, USA.ORCID http://orcid.org/0000-0003-4911-9742
Erin R DohertyWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, 02215, USA.
Yixuan XieDepartment of Chemistry, University of California Davis, Davis, California, Davis, CA, 95616, USA.ORCID http://orcid.org/0000-0002-8512-6053
Tania ToWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, 02215, USA.
Sarah E GilpinWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, 02215, USA.
Adama M SesayWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, 02215, USA.
Girija GoyalWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, 02215, USA.
Carlito B LebrillaDepartment of Chemistry, University of California Davis, Davis, California, Davis, CA, 95616, USA.ORCID http://orcid.org/0000-0001-7190-5323
Donald E IngberWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, 02215, USA. don.ingber@wyss.harvard.edu.ORCID http://orcid.org/0000-0002-4319-6520

Funding

Gates Foundation INV-035977
6 · The paper itself

Abstract

Modulation of the cervix by steroid hormones and commensal microbiome play a central role in the health of the female reproductive tract. Here we describe organ-on-a-chip (Organ Chip) models that recreate the human cervical epithelial-stromal interface with a functional epithelial barrier and production of mucus with biochemical and hormone-responsive properties similar to living cervix. When Cervix Chips are populated with optimal healthy versus dysbiotic microbial communities (dominated by Lactobacillus crispatus and Gardnerella vaginalis, respectively), significant differences in tissue innate immune responses, barrier function, cell viability, proteome, and mucus composition are observed that are similar to those seen in vivo. Thus, human Cervix Organ Chips represent physiologically relevant in vitro models to study cervix physiology and host-microbiome interactions, and hence may be used as a preclinical testbed for development of therapeutic interventions to enhance women's health.

Indexed as

Cervix UteriHost Microbial InteractionsImmunity, InnateMicrobiotaFemaleGardnerella vaginalisHumansLab-On-A-Chip DevicesLactobacillus crispatusMucus

Identifiers

PMID38811586
PMCPMC11137093

What OpenQuestion holds

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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.