Cited by 43Cellular Mechanics and InteractionsHydrogels: synthesis, properties, applicationsWound Healing and Treatments

Substrate stiffness directs the phenotype and polarization state of cord blood derived macrophages

Open access
Scott, Rebecca A., Kiick, Kristi L., Akins, Robert E.·2021·Acta Biomaterialia

Abstract

Cord blood (CB) mononuclear cell populations have demonstrated significant promise in biomaterials-based regenerative therapies; however, the contributions of monocyte and macrophage subpopulations towards proper tissue healing and regeneration are not well understood, and the phenotypic responses of macrophage to microenvironmental cues have not been well-studied. In this work, we evaluated the effects of cytokine stimulation and altered substrate stiffness. Macrophage derived from CB CD14+ monocytes adopted distinct inflammatory (M1) and anti-inflammatory (M2a and M2c) phenotypes in response to cytokine stimulation (M1: lipopolysaccharide (LPS) and interferon (IFN-γ); M2a: interleukin (IL)-4 and IL-13; M2c: IL-10) as determined through expression of relevant cell surface markers and growth factors. Cytokine-induced macrophage readily altered their phenotypes upon sequential administration of different cytokine cocktails. The impact of substrate stiffness on macrophage phenotype was evaluated by seeding CB-derived macrophage on 3wt%, 6wt%, and 14wt% poly(ethylene glycol)-based hydrogels, which exhibited swollen shear moduli of 0.1, 3.4, and 10.3 kPa, respectively. Surface marker expression and cytokine production varied depending on modulus, with anti-inflammatory phenotypes increasing with elevated substrate stiffness. Integration of specific hydrogel moduli and cytokine cocktail treatments resulted in the differential regulation of macrophage phenotypic biomarkers. These data suggest that CB-derived macrophages exhibit predictable behaviors that can be directed and finely tuned by combinatorial modulation of substrate physical properties and cytokine profiles.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.actbio.2020.12.040

Cites

71 of 71 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Only a limited number of studies have investigated the effects of stiffness on human primary macrophages.

    “Only a limited number of studies have investigated the effects of stiffness on human primary macrophages.”

    From Soft tissue-mimicking hydrogel stiffness modulates polarisation of human monocyte-derived macrophages (2025) · cites this paper as [24]

    The Introduction (page not provided) says that substrate stiffness effects on cord-blood-derived macrophages have not been well characterized, and it identifies earlier work on human peripheral-blood-derived macrophages. That supports a research gap for cord-blood-derived cells, but not the broader claim that only a limited number of studies have examined human primary macrophages generally. (LLM, conf=0.82)

    Experimental — accuracy not yet measured
  • Macrophages attaching to soft materials exhibit reduced activation into profibrotic M2 macrophages compared to those grown on stiffer substrates.

    “In general, macrophages attaching to soft materials exhibit reduced activation into profibrotic M2 macrophages compared to those grown on stiffer substrates (44–48).”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

1 of the 72 references couldn’t be matched to a known paper.

Research works printed but not linked: 2

  1. [59]Bryant KAS, Photopolymerization of Hydrogel Scaffolds. Scaffolding in Tissue Engineering., CRC Press 2005.
  2. [61]Chen M, Zhang Y, Zhou P, Liu X, Zhao H, Zhou X, Gu Q, Li B, Zhu X, Shi Q, Substrate stiffness modulates bone marrow-derived macrophage polarization through NF-κB signaling pathway, Bioact Mater 5(4) (2020) 880– 890. 32637751 PMC7332470

Cited by

Sorted by citations

Authors
Scott, R. A., Kiick, K. L., & Akins, R. E.
Affiliations
  • Alfred I. duPont Hospital for Children (US)
  • Delaware Biotechnology Institute (US)
Corresponding author
Akins, Robert E.
Venue
Acta Biomaterialia
Publisher
Elsevier BV
Published
2021-03
Volume
122
Pages
220-235
ISSN
1742-7061 (ISSN-L)
OpenAlex
W3117600942
Cited by
43
References
72
Citations by year
2026: 6 · 2025: 11 · 2024: 12 · 2023: 4 · 2022: 4 · 2021: 6
FWCI
1.75
Type
journal article
Language
en
Open access
Locations
  • Acta Biomaterialia (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institute of General Medical Sciences
  • National Heart, Lung, and Blood Institute
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Cellular Mechanics and Interactions
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Medicine › Hydrogels: synthesis, properties, applications
  • Health Sciences › Medicine › Rehabilitation › Wound Healing and Treatments
Keywords
substrate stiffness, macrophage polarization, M1/M2 macrophage phenotype, cytokine induction, poly(ethylene glycol) hydrogels, hydrogel modulus, CD14+ monocytes, lipopolysaccharide, interferon-gamma, IL-4, IL-13, IL-10, regenerative therapy, biomaterials
MeSH terms
Cell Differentiation, Fetal Blood, Macrophages, Phenotype, Cytokines

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review