The DOI matches its Crossref record; 276 of the 276 references it cites were found in a registry or an index.
A framework for developing sex-specific engineered heart models
Open accessAbstract
The convergence of tissue engineering and patient-specific stem cell biology has enabled the engineering of in vitro tissue models that allow the study of patient-tailored treatment modalities. However, sex-related disparities in health and disease, from systemic hormonal influences to cellular-level differences, are often overlooked in stem cell biology, tissue engineering and preclinical screening. The cardiovascular system, in particular, shows considerable sex-related differences, which need to be considered in cardiac tissue engineering. In this Review, we analyse sex-related properties of the heart muscle in the context of health and disease, and discuss a framework for including sex-based differences in human cardiac tissue engineering. We highlight how sex-based features can be implemented at the cellular and tissue levels, and how sex-specific cardiac models could advance the study of cardiovascular diseases. Finally, we define design criteria for sex-specific cardiac tissue engineering and provide an outlook to future research possibilities beyond the cardiovascular system.
Overview
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.
Integrity signals
Registry
Cites
Statistics
Verification
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.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“there are sex-related differences in how men and women absorb, distribute and metabolize drugs, ultimately affecting drug efficacy and safety48,130,131.”
From Human disease models in drug development (2023) · cites this paper as [48]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Takahashi, K., & Yamanaka, S. (2006) · Cell · doi:10.1016/j.cell.2006.07.024 · Cited by 26,673
Heart Disease and Stroke Statistics—2019 Update: A Report From the American Heart Association
Benjamin, E. J., Muntner, P., Alonso, A., Bittencourt, M. S., Callaway, C. W., Carson, A. P., Chamberlain, A. M., Chang, A. R., Cheng, S., Das, S. R., et al. (2019) · Circulation · doi:10.1161/cir.0000000000000659 · Cited by 9,036
Lutolf, M. P., & Hubbell, J. A. (2005) · Nature Biotechnology · doi:10.1038/nbt1055 · Cited by 4,551
Reconstituting organ-level lung functions on a chip
Huh, D., Matthews, B. D., Mammoto, A., Montoya-Zavala, M., Hsin, H. Y., & Ingber, D. E. (2010) · Science · doi:10.1126/science.1188302 · Cited by 4,250
Bhatia, S. N., & Ingber, D. E. (2014) · Nature Biotechnology · doi:10.1038/nbt.2989 · Cited by 3,305
Perfusion-decellularized matrix: using nature's platform to engineer a bioartificial heart
Ott, H. C., Matthiesen, T. S., Goh, S.-K., Black, L. D., Kren, S. M., Netoff, T. I., & Taylor, D. A. (2008) · Nature Medicine · doi:10.1038/nm1684 · Cited by 2,650
X-inactivation profile reveals extensive variability in X-linked gene expression in females
Carrel, L., & Willard, H. F. (2005) · Nature · doi:10.1038/nature03479 · Cited by 2,097
RNA sequencing: the teenage years
Stark, R., Grzelak, M., & Hadfield, J. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-019-0150-2 · Cited by 2,041
Sex and gender: modifiers of health, disease, and medicine
Mauvais-Jarvis, F., Bairey Merz, N., Barnes, P. J., Brinton, R. D., Carrero, J.-J., DeMeo, D. L., De Vries, G. J., Epperson, C. N., Govindan, R., Klein, S. L., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)31561-0 · Cited by 2,001
Printing three-dimensional tissue analogues with decellularized extracellular matrix bioink
Pati, F., Jang, J., Ha, D.-H., Won Kim, S., Rhie, J.-W., Shim, J.-H., Kim, D.-H., & Cho, D.-W. (2014) · Nature Communications · doi:10.1038/ncomms4935 · Cited by 1,904
Research works printed but not linked: 2
- Ferri, F. in Ferri’s Clinical Advisor 2019 1st edn (Elsevier, 2018).
- Turnbull, I. C. et al. in Experimental Models of Cardiovascular Diseases: Methods and Protocols (ed. Ishikawa, K.) 145–159 (Springer, 2018).
Cited by
Sorted by citations
Human disease models in drug development
Loewa, A., Feng, J. J., & Hedtrich, S. (2023) · Nature Reviews Bioengineering · doi:10.1038/s44222-023-00063-3 · Cited by 331
Sex differences in heart: from basics to clinics
Prajapati, C., Koivumäki, J. T., Pekkanen-Mattila, M., & Aalto‐Setälä, K. (2022) · European journal of medical research · doi:10.1186/s40001-022-00880-z · Cited by 92
Navigating the landscape of RNA delivery systems in cardiovascular disease therapeutics
Gil-Cabrerizo, P., Simón‐Yarza, T., Garbayo, E., & Blanco‐Prieto, M. J. (2024) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2024.115302 · Cited by 56
Emerging technologies for cardiac tissue engineering and artificial hearts
Sun, L., Wang, Y., Xu, D., & Zhao, Y. (2023) · Smart Medicine · doi:10.1002/smmd.20220040 · Cited by 44
Self-citationStrengthening cardiac therapy pipelines using human pluripotent stem cell-derived cardiomyocytes
Raniga, K., Nasir, A., Vo, N. T. N., Vaidyanathan, R., Dickerson, S., Hilcove, S. A., Mosqueira, D., Mirams, G. R., Clements, P., Hicks, R., et al. (2024) · Cell stem cell · doi:10.1016/j.stem.2024.01.007 · Cited by 39
Metadata
- Authors
- Lock, R., Al Asafen, H., Fleischer, S., Tamargo, M., Zhao, Y., Radisic, M., & Vunjak-Novakovic, G.
- Affiliations
- Columbia University (US)
- University of Toronto (CA)
- Venue
- Nature Reviews Materials
- Published
- 2021-10-20
- Volume
- 7
- Issue
- 4
- Pages
- 295-313
- ISSN
- 2058-8437 (ISSN-L)
- PMC
- PMC8527305
- OpenAlex
- W3207902372
- Cited by
- 50
- References
- 275
- Citations by year
- 2026: 6 · 2025: 8 · 2024: 14 · 2023: 12 · 2022: 9 · 2021: 1
- FWCI
- 2.17
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Nature Reviews Materials (publishedVersion, cc-by)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Science Foundation (NSF16478)
- National Aeronautics and Space Administration (NNX16AO69A)
- National Institutes of Health (2r01hl076485-16, NSF16478, EB027062, HL076485, EB025765)
- National Heart, Lung, and Blood Institute (R01-HL076485)
- National Institute of Biomedical Imaging and Bioengineering (UG3EB025765, UH3EB025765, P41EB027062)
- Topics
- Health Sciences › Medicine › Surgery › Tissue Engineering and Regenerative Medicine
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Sex and Gender in Healthcare
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Pluripotent Stem Cells Research
- Keywords
- sex differences, cardiac tissue engineering, cardiovascular disease, in vitro cardiac models
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