Evidence map›Paper›PMID 35931278›Full record

ArticleActa biomaterialia2022

Three-dimensional anisotropic hyperelastic constitutive model describing the mechanical response of human and mouse cervix.

Lei Shi, Lingfeng Hu, Nicole Lee, Shuyang Fang, Kristin Myers

Abstract read
In one paragraph

Article in Acta biomaterialia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Equilibrium Mechanical Properties of the Nonhuman Primate Cervix.Journal of biomechanical engineering · 2024
    Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
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

5 authors.

Lei ShiDepartment of Mechanical Engineering, Columbia University, New York, NY, 10027, USA.
Lingfeng HuDepartment of Mechanical Engineering, Columbia University, New York, NY, 10027, USA.
Nicole LeeDepartment of Mechanical Engineering, Columbia University, New York, NY, 10027, USA.
Shuyang FangDepartment of Mechanical Engineering, Columbia University, New York, NY, 10027, USA.
Kristin MyersDepartment of Mechanical Engineering, Columbia University, New York, NY, 10027, USA. Electronic address: kmm2233@columbia.edu.

Funding

Mechanisms by which steroid hormones modulate cervical extracellular matrix structure and function during pregnancy and provide therapeutic protection against preterm birthR01HD088481 · NICHD · UT SOUTHWESTERN MEDICAL CENTER · PI MAHENDROO, MALA S., MYERS, KRISTIN MARIE · 2016 to 2020
$1.8M
A Computational Framework for the Clinical Evaluation of the Soft Tissue Mechanics in PregnancyR01HD091153 · NICHD · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI MYERS, KRISTIN MARIE · 2017 to 2021
$1.6M
NICHD NIH HHS R01 HD088481NICHD NIH HHS R01 HD091153
6 · The paper itself

Abstract

The mechanical function of the uterine cervix is critical for a healthy pregnancy. During pregnancy, the cervix undergoes significant softening to allow for a successful delivery. Abnormal cervical remodeling is suspected to contribute to preterm birth. Material constitutive models describing known biological shifts in pregnancy are essential to predict the mechanical integrity of the cervix. In this work, the material response of human cervical tissue under spherical indentation and uniaxial tensile tests loaded along different anatomical directions is experimentally measured. A deep-learning segmentation tool is applied to capture the tissue deformation during the uniaxial tensile tests. A 3-dimensional, equilibrium anisotropic continuous fiber constitutive model is formulated, considering collagen fiber directionality, fiber bundle dispersion, and the entropic nature of wavy cross-linked collagen molecules. Additionally, the universality of the material model is demonstrated by characterizing previously published mouse cervix mechanical data. Overall, the proposed material model captures the tension-compression asymmetric material responses and the remodeling characteristics of both human and mouse cervical tissue. The pregnant (PG) human cervix (mean locking stretch ζ=2.4, mean initial stiffness ξ=12 kPa, mean bulk modulus κ=0.26 kPa, mean dispersion b=1.0) is more compliant compared with the nonpregnant (NP) cervix (mean ζ=1.3, mean ξ=32 kPa, mean κ=1.4 kPa, mean b=1.4). Creating a validated material model, which describes the role of collagen fiber directionality, dispersion, and crosslinking, enables tissue-level biomechanical simulations to determine which material and anatomical factors drive the cervix to open prematurely. STATEMENT OF SIGNIFICANCE: In this study, we report a 3D anisotropic hyperelastic constitutive model based on Langevin statistical mechanics and successfully describe the material behavior of both human and mouse cervical tissue using this model. This model bridges the connection between the extracellular matrix (ECM) microstructure remodeling and the macro mechanical properties change of the cervix during pregnancy via microstructure-associated material parameters. This is the first model, to our knowledge, to connect the the entropic nature of wavy cross-linked collagen molecules with the mechanical behavior of the cervix. Inspired by microstructure, this model provides a foundation to understand further the relationship between abnormal cervical ECM remodeling and preterm birth. Furthermore, with a relatively simple form, the proposed model can be applied to other fibrous tissues in the future.

Indexed as

Cervix UteriPremature BirthAnimalsAnisotropyBiomechanical PhenomenaCollagenFemaleHumansInfant, NewbornMicePregnancyStress, MechanicalCollagenDeep-learning segmentationMicrostructure-inspired constitutive modelingSpherical indentationTissue biomechanicsUniaxial tension

Identifiers

PMID35931278
PMCPMC11590015

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.