Evidence map›Paper›PMID 39078878›Full record

ArticleACS applied materials & interfaces2024

High-Throughput 3D-Printed Model of the Feto-Maternal Interface for the Discovery and Development of Preterm Birth Therapies.

Rahul Cherukuri, Ananth Kumar Kammala, Tilu Jain Thomas, Leah Saylor, Lauren Richardson, Sungjin Kim, Marc Ferrer, Cristina Acedo, Min Jae Song, Akhilesh K Gaharwar and 2 more

Erratum issuedAbstract read
In one paragraph

Article in ACS applied materials & interfaces, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Bridging the Gap Between Static Histology and Dynamic Organ-on-a-Chip Models.Pathophysiology : the official journal of the International Society for Pathophysiology · 2026
    Review
  2. Article
  3. Exosomal Delivery of Interleukin-10 Reduces Infection-Associated Inflammation in a 3D-Printed Model of a Humanized Feto-Maternal Interface.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
    Article
  4. Article
  5. Article
  6. A bioprinted model of pregnant human uterine myometrium.Frontiers in bioengineering and biotechnology · 2025
    Article
  7. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Rahul CherukuriDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, Texas 77840, United States.ORCID 0000-0002-8728-1583
Ananth Kumar KammalaDivision of Basic Science and Translational Research, Department of Obstetrics & Gynecology, The University of Texas Medical Branch at Galveston, Galveston, Texas 77555, United States.
Tilu Jain ThomasDivision of Basic Science and Translational Research, Department of Obstetrics & Gynecology, The University of Texas Medical Branch at Galveston, Galveston, Texas 77555, United States.
Leah SaylorDivision of Basic Science and Translational Research, Department of Obstetrics & Gynecology, The University of Texas Medical Branch at Galveston, Galveston, Texas 77555, United States.
Lauren RichardsonDivision of Basic Science and Translational Research, Department of Obstetrics & Gynecology, The University of Texas Medical Branch at Galveston, Galveston, Texas 77555, United States.
Sungjin KimDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, Texas 77840, United States.
Marc Ferrer3D Tissue Bioprinting Laboratory, National Centre for Advancing Translational Sciences, National Institute of Sciences, Bethesda, Maryland 20892, United States.
Cristina Acedo3D Tissue Bioprinting Laboratory, National Centre for Advancing Translational Sciences, National Institute of Sciences, Bethesda, Maryland 20892, United States.
Min Jae Song3D Tissue Bioprinting Laboratory, National Centre for Advancing Translational Sciences, National Institute of Sciences, Bethesda, Maryland 20892, United States.
Akhilesh K GaharwarDepartment of Biomedical Engineering, Texas A&M University, College Station, Texas 77840, United States.ORCID 0000-0002-0284-0201
Ramkumar MenonDivision of Basic Science and Translational Research, Department of Obstetrics & Gynecology, The University of Texas Medical Branch at Galveston, Galveston, Texas 77555, United States.
Arum HanDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, Texas 77840, United States.

Funding

Single cell, multi-parametric high throughput platform to classify endocrine disruptor potential of mixturesP42ES027704 · NIEHS · TEXAS A&M UNIVERSITY · PI Efstratios Pistikopoulos · 2017 to 2026
$21.2M
3-D biofabricated feto-maternal interface tissue model to determine drug efficacy during pregnancy to reduce the risk of preterm birthUH2TR004117 · NCATS · UNIVERSITY OF TEXAS MED BR GALVESTON · PI HAN, ARUM, MENON, RAMKUMAR · 2022 to 2023
$842k
3D Bioprinting of feto-maternal barrier tissue modelsZIATR000468 · NCATS · NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES · PI FERRER, MARC · 2023 to 2025
$740k
3-D biofabricated feto-maternal interface tissue model to determine drug efficacy during pregnancy to reduce the risk of preterm birthUH3TR004117 · NCATS · UNIVERSITY OF TEXAS MED BR GALVESTON · PI Arum Han, RAMKUMAR MENON · 2024 to 2026
$702k
NCATS NIH HHS UH2 TR004117NCATS NIH HHS UH3 TR004117NIEHS NIH HHS P42 ES027704
6 · The paper itself

Abstract

Spontaneous preterm birth (PTB) affects around 11% of births, posing significant risks to neonatal health due to the inflammation at the fetal-maternal interface (FMi). This inflammation disrupts immune tolerance during pregnancy, often leading to PTB. While organ-on-a-chip (OOC) devices effectively mimic the physiology, pathophysiology, and responses of FMi, their relatively low throughput limits their utility in high-throughput testing applications. To overcome this, we developed a three-dimensional (3D)-printed model that fits in a well of a 96-well plate and can be mass-produced while also accurately replicating FMi, enabling efficient screening of drugs targeting FMi inflammation. Our model features two cell culture chambers (maternal and fetal cells) interlinked via an array of microfluidic channels. It was thoroughly validated, ensuring cell viability, metabolic activity, and cell-specific markers. The maternal chamber was exposed to lipopolysaccharides (LPS) to induce an inflammatory state, and proinflammatory cytokines in the culture supernatant were quantified. Furthermore, the efficacy of anti-inflammatory inhibitors in mitigating LPS-induced inflammation was investigated. Results demonstrated that our model supports robust cell growth, maintains viability, and accurately mimics PTB-associated inflammation. This high-throughput 3D-printed model offers a versatile platform for drug screening, promising advancements in drug discovery and PTB prevention.

Indexed as

Premature BirthPrinting, Three-DimensionalAnti-Inflammatory AgentsCell SurvivalFemaleHigh-Throughput Screening AssaysHumansInflammationLab-On-A-Chip DevicesLipopolysaccharidesPregnancyAnti-Inflammatory AgentsLipopolysaccharides3D-printed high-throughput modeldrug screening platformfeto-maternal inflammationfeto-maternal interface organ-on-chipinfectionpregnancypreterm birth

Identifiers

PMID39078878
PMCPMC11604266

What OpenQuestion holds

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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.