The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
Core–Shell Microneedle Gel for Self-Regulated Insulin Delivery
Open accessAbstract
A bioinspired glucose-responsive insulin delivery system for self-regulation of blood glucose levels is desirable for improving health and quality of life outcomes for patients with type 1 and advanced type 2 diabetes. Here we describe a painless core–shell microneedle array patch consisting of degradable cross-linked gel for smart insulin delivery with rapid responsiveness and excellent biocompatibility. This gel-based device can partially dissociate and subsequently release insulin when triggered by hydrogen peroxide (H 2 O 2 ) generated during the oxidation of glucose by a glucose-specific enzyme covalently attached inside the gel. Importantly, the H 2 O 2 -responsive microneedles are coated with a thin-layer embedding H 2 O 2 -scavenging enzyme, thus mimicking the complementary function of enzymes in peroxisomes to protect normal tissues from injury caused by oxidative stress. Utilizing a chemically induced type 1 diabetic mouse model, we demonstrated that this smart insulin patch with a bioresponsive core and protective shell could effectively regulate the blood glucose levels within a normal range with improved biocompatibility.
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.
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
Ohkubo, Y., Kishikawa, H., Araki, E., Miyata, T., Isami, S., Motoyoshi, S., Kojima, Y., Furuyoshi, N., & Shichiri, M. (1995) · Diabetes Research and Clinical Practice · doi:10.1016/0168-8227(95)01064-k · Cited by 3,079
Peroxisomes (microbodies and related particles).
De Duve, C., & Baudhuin, P. (1966) · Physiological Reviews · doi:10.1152/physrev.1966.46.2.323 · Cited by 1,666
A detailed examination of boronic acid–diol complexation
Springsteen, G., & Wang, B. (2002) · Tetrahedron · doi:10.1016/s0040-4020(02)00489-1 · Cited by 1,461
Lu, Y., Aimetti, A. A., Langer, R., & Gu, Z. (2016) · Nature Reviews Materials · doi:10.1038/natrevmats.2016.75 · Cited by 1,421
Self-citationDavis, S. P., Landis, B. J., Adams, Z. H., Allen, M. G., & Prausnitz, M. R. (2004) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2003.12.010 · Cited by 934
Yu, J., Zhang, Y., Ye, Y., DiSanto, R., Sun, W., Ranson, D., Ligler, F. S., Buse, J. B., & Gu, Z. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1505405112 · Cited by 848
Self-citationReactive‐Oxygen‐Species‐Responsive Drug Delivery Systems: Promises and Challenges
Saravanakumar, G., Kim, J., & Kim, W. J. (2017) · Advanced Science · doi:10.1002/advs.201600124 · Cited by 675
Managing diabetes with nanomedicine: challenges and opportunities
Veiseh, O., Tang, B. C., Whitehead, K. A., Anderson, D. G., & Langer, R. (2015) · Nature Reviews Drug Discovery · doi:10.1038/nrd4477 · Cited by 613
Kataoka, K., Miyazaki, H., Bunya, M., Okano, T., & Sakurai, Y. (1998) · Journal of the American Chemical Society · doi:10.1021/ja982975d · Cited by 590
Injectable Nano-Network for Glucose-Mediated Insulin Delivery
Gu, Z., Aimetti, A. A., Wang, Q., Dang, T. T., Zhang, Y., Veiseh, O., Cheng, H., Langer, R. S., & Anderson, D. G. (2013) · ACS Nano · doi:10.1021/nn400630x · Cited by 462
Self-citationEngineering Microneedle Patches for Vaccination and Drug Delivery to Skin
Prausnitz, M. R. (2017) · Annual Review of Chemical and Biomolecular Engineering · doi:10.1146/annurev-chembioeng-060816-101514 · Cited by 439
Glucose-Responsive Microgels Integrated with Enzyme Nanocapsules for Closed-Loop Insulin Delivery
Gu, Z., Dang, T. T., Ma, M., Tang, B. C., Cheng, H., Jiang, S., Dong, Y., Zhang, Y., & Anderson, D. G. (2013) · ACS Nano · doi:10.1021/nn401617u · Cited by 428
Self-citationEmerging micro- and nanotechnology based synthetic approaches for insulin delivery
Mo, R., Jiang, T., Di, J., Tai, W., & Gu, Z. (2014) · Chemical Society Reviews · doi:10.1039/c3cs60436e · Cited by 386
Self-citationOwens, D. R., Zinman, B., & Bolli, G. B. (2001) · The Lancet · doi:10.1016/s0140-6736(01)05842-1 · Cited by 373
Fusogenic Reactive Oxygen Species Triggered Charge‐Reversal Vector for Effective Gene Delivery
Liu, X., Xiang, J., Zhu, D., Jiang, L., Zhou, Z., Tang, J., Liu, X., Huang, Y., & Shen, Y. (2016) · Advanced Materials · doi:10.1002/adma.201504288 · Cited by 353
Liu, Y., Du, J., Yan, M., Lau, M. Y., Hu, J., Han, H., Yang, O. O., Liang, S., Wei, W., Wang, H., et al. (2013) · Nature Nanotechnology · doi:10.1038/nnano.2012.264 · Cited by 339
Matsumoto, A., Yoshida, R., & Kataoka, K. (2004) · Biomacromolecules · doi:10.1021/bm0345413 · Cited by 338
Polymeric microneedles for transdermal protein delivery
Ye, Y., Yu, J., Wen, D., Kahkoska, A. R., & Gu, Z. (2018) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2018.01.015 · Cited by 324
Self-citationHu, X., Yu, J., Qian, C., Lu, Y., Kahkoska, A. R., Xie, Z., Jing, X., Buse, J. B., & Gu, Z. (2017) · ACS Nano · doi:10.1021/acsnano.6b06892 · Cited by 313
Self-citationOlatunji, O., Das, D. B., Garland, M. J., Belaid, L., & Donnelly, R. F. (2013) · Journal of Pharmaceutical Sciences · doi:10.1002/jps.23439 · Cited by 277
Bequette, B. W. (2005) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2005.7.28 · Cited by 270
Wang, M., Sun, S., Neufeld, C. I., Perez‐Ramirez, B., & Xu, Q. (2014) · Angewandte Chemie International Edition · doi:10.1002/anie.201407234 · Cited by 249
Synthetic beta cells for fusion-mediated dynamic insulin secretion
Chen, Z., Wang, J., Sun, W., Archibong, E., Kahkoska, A. R., Zhang, X., Lu, Y., Ligler, F. S., Buse, J. B., & Gu, Z. (2018) · Nature Chemical Biology · doi:10.1038/nchembio.2511 · Cited by 248
Self-citationChou, D. H.-C., Webber, M. J., Tang, B. C., Lin, A. B., Thapa, L. S., Deng, D., Truong, J. V., Cortinas, A. B., Langer, R., & Anderson, D. G. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1424684112 · Cited by 234
Kitano, S., Koyama, Y., Kataoka, K., Okano, T., & Sakurai, Y. (1992) · Journal of Controlled Release · doi:10.1016/0168-3659(92)90073-z · Cited by 229
Podual, K., Doyle, F. J., & Peppas, N. A. (2000) · Journal of Controlled Release · doi:10.1016/s0168-3659(00)00195-4 · Cited by 222
Dynamic Behavior of Glucose-Responsive Poly(methacrylic acid-g-ethylene glycol) Hydrogels
Hassan, C. M., Doyle, F. J., & Peppas, N. A. (1997) · Macromolecules · doi:10.1021/ma970117g · Cited by 209
Preparation and dynamic response of cationic copolymer hydrogels containing glucose oxidase
Podual, K. (2000) · Polymer · doi:10.1016/s0032-3861(99)00620-5 · Cited by 203
Injectable and Glucose-Responsive Hydrogels Based on Boronic Acid–Glucose Complexation
Dong, Y., Wang, W., Veiseh, O., Appel, E. A., Xue, K., Webber, M. J., Tang, B. C., Yang, X.-W., Weir, G. C., Langer, R., et al. (2016) · Langmuir · doi:10.1021/acs.langmuir.5b04755 · Cited by 186
Shiino, D., Murata, Y., Kubo, A., Kim, Y. J., Kataoka, K., Koyama, Y., Kikuchi, A., Yokoyama, M., Sakurai, Y., & Okano, T. (1995) · Journal of Controlled Release · doi:10.1016/0168-3659(95)00084-4 · Cited by 185
Leveraging Physiology for Precision Drug Delivery
Sun, W., Hu, Q., Ji, W., Wright, G., & Gu, Z. (2017) · Physiological Reviews · doi:10.1152/physrev.00015.2016 · Cited by 169
Self-citationRed Blood Cells for Glucose‐Responsive Insulin Delivery
Wang, C., Ye, Y., Sun, W., Yu, J., Wang, J., Lawrence, D. S., Buse, J. B., & Gu, Z. (2017) · Advanced Materials · doi:10.1002/adma.201606617 · Cited by 169
Self-citationBio-Inspired Synthetic Nanovesicles for Glucose-Responsive Release of Insulin
Tai, W., Mo, R., Di, J., Subramanian, V., Gu, X., Buse, J. B., & Gu, Z. (2014) · Biomacromolecules · doi:10.1021/bm500364a · Cited by 158
Self-citationGlucose-responsive insulin by molecular and physical design
Bakh, N. A., Cortinas, A. B., Weiss, M. A., Langer, R., Anderson, D. G., Gu, Z., Dutta, S., & Strano, M. S. (2017) · Nature Chemistry · doi:10.1038/nchem.2857 · Cited by 154
Self-citationMaterials for Diabetes Therapeutics
Bratlie, K. M., York, R. L., Invernale, M. A., Langer, R., & Anderson, D. G. (2012) · Advanced Healthcare Materials · doi:10.1002/adhm.201200037 · Cited by 152
Modulated insulin permeation across a glucose-sensitive polymeric composite membrane
Zhang, K., & Wu, X. Y. (2002) · Journal of Controlled Release · doi:10.1016/s0168-3659(02)00024-x · Cited by 141
Gordijo, C. R., Koulajian, K., Shuhendler, A. J., Bonifácio, L. D. S., Huang, H. Y., Chiang, S., Ozin, G. A., Giacca, A., & Wu, X. Y. (2010) · Advanced Functional Materials · doi:10.1002/adfm.201001762 · Cited by 124
Stimuli‐responsive delivery of therapeutics for diabetes treatment
Yu, J., Zhang, Y., Bomba, H. N., & Gu, Z. (2016) · Bioengineering & Translational Medicine · doi:10.1002/btm2.10036 · Cited by 109
Self-citationBioresponsive transcutaneous patches
Yu, J., Zhang, Y., Kahkoska, A. R., & Gu, Z. (2017) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2017.03.001 · Cited by 84
Self-citationPiest, M., Zhang, X., Trinidad, J., & Engbersen, J. F. J. (2011) · Soft Matter · doi:10.1039/c1sm06230a · Cited by 82
Self-citationLiu, F., Song, S., Mix, D., Baudyš, M., & Kim, S. W. (1997) · Bioconjugate Chemistry · doi:10.1021/bc970128e · Cited by 65
Prevention of UV-Induced Skin Damages by 11,14,17-Eicosatrienoic Acid in Hairless Mice In Vivo
Jin, X.-J., Kim, E. J., Oh, I. K., Kim, Y. K., Park, C., & Chung, J. H. (2010) · Journal of Korean Medical Science · doi:10.3346/jkms.2010.25.6.930 · Cited by 63
New-generation diabetes management: glucose sensor-augmented insulin pump therapy
Cengiz, E., Sherr, J. L., WEINZIMER, S. A., & Tamborlane, W. V. (2011) · Expert Review of Medical Devices · doi:10.1586/erd.11.22 · Cited by 54
Make better, safer biomaterials
Peppas, N. A., & Khademhosseini, A. (2016) · Nature · doi:10.1038/540335a · Cited by 46
Glucose Recognition Proteins for Glucose Sensing at Physiological Concentrations and Temperatures
Joel, S., Turner, K. B., & Daunert, S. (2014) · ACS Chemical Biology · doi:10.1021/cb500132g · Cited by 28
Yamamoto, Y., Koma, H., & Yagami, T. (2015) · NeuroToxicology · doi:10.1016/j.neuro.2015.05.008 · Cited by 17
Cited by
Current trends in polymer microneedle for transdermal drug delivery
Ahmed Saeed AL-Japairai, K., Mahmood, S., Hamed Almurisi, S., Reddy Venugopal, J., Rebhi Hilles, A., Azmana, M., & Raman, S. (2020) · International Journal of Pharmaceutics · doi:10.1016/j.ijpharm.2020.119673 · Cited by 448
Zhang, X., Chen, G., Liu, Y., Sun, L., Sun, L., & Zhao, Y. (2020) · ACS Nano · doi:10.1021/acsnano.0c01059 · Cited by 363
Self-citationAdvances in transdermal insulin delivery
Zhang, Y., Yu, J., Kahkoska, A. R., Wang, J., Buse, J. B., & Gu, Z. (2019) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2018.12.006 · Cited by 325
Self-citationLi, X., Huang, X., Mo, J., Wang, H., Huang, Q., Yang, C., Zhang, T., Chen, H., Hang, T., Liu, F., et al. (2021) · Advanced Science · doi:10.1002/advs.202100827 · Cited by 250
Ruan, H., Hu, Q., Wen, D., Chen, Q., Chen, G., Lu, Y., Wang, J., Cheng, H., Lu, W., & Gu, Z. (2019) · Advanced Materials · doi:10.1002/adma.201806957 · Cited by 220
Self-citation
Metadata
- Authors
- Wang, J., Ye, Y., Yu, J., Kahkoska, A. R., Zhang, X., Wang, C., Sun, W., Corder, R. D., Chen, Z., Khan, S. A., Buse, J. B., & Gu, Z.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2018-02-19
- Volume
- 12
- Issue
- 3
- Pages
- 2466-2473
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2787410362
- Cited by
- 299
- References
- 46
- FWCI
- 12.61
- Type
- journal article
- Language
- en
- Open access
- green
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.