Recent Progress in Glucose-Responsive Insulin
Abstract
Insulin replacement therapy is indispensable in the treatment of type 1 and advanced type 2 diabetes. However, insulin's clinical application is challenging due to its narrow therapeutic index. To mitigate acute and chronic risks of glucose excursions, glucose-responsive insulin (GRI) has long been pursued for clinical application. By integrating GRI with glucose-sensitive elements, GRI is capable of releasing or activating insulin in response to plasma or interstitial glucose levels without external monitoring, thereby improving glycemic control and reducing hypoglycemic risk. In this Perspective, we first introduce the history of GRI development and then review major glucose-responsive components that can be leveraged to control insulin delivery. Subsequently, we highlight the recent advances in GRI delivery carriers and insulin analogs. Finally, we provide a look to the future and the challenges of clinical application of GRI. Article highlights
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
GRIs are designed to increase their activity or release rate during hyperglycemia and to reduce activity during normoglycemia or impending hypoglycemia.
“GRIs are designed to increase their activity or release rate during hyperglycemia and to reduce activity during normoglycemia or impending hypoglycemia [162–164].”
From Diabetic gastroparesis: pathophysiology and impact on insulin timing choices (2026) · cites this paper as [162]
Glucose-responsive insulins (GRIs) and controlled-release insulin analogues aim to decouple metabolic efficacy from rigid injection timing, modulating insulin activity in response to ambient glucose levels.
“In this context, glucose-responsive insulins (GRIs) and controlled-release insulin analogues aim to decouple metabolic efficacy from rigid injection timing, modulating insulin activity in response to ambient glucose levels:”
From Diabetic gastroparesis: pathophysiology and impact on insulin timing choices (2026) · cites this paper as [162]
Cites
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 852 · see citing works
Self-citationGlucose-responsive insulin patch for the regulation of blood glucose in mice and minipigs
Yu, J., Wang, J., Zhang, Y., Chen, G., Mao, W., Ye, Y., Kahkoska, A. R., Buse, J. B., Langer, R., & Gu, Z. (2020) · Nature Biomedical Engineering · doi:10.1038/s41551-019-0508-y · Cited by 604 · see citing works
Self-citationInjectable Self‐Healing Glucose‐Responsive Hydrogels with pH‐Regulated Mechanical Properties
Yesilyurt, V., Webber, M. J., Appel, E. A., Godwin, C., Langer, R., & Anderson, D. G. (2015) · Advanced Materials · doi:10.1002/adma.201502902 · Cited by 594 · see citing works
Injectable Nano-Network for Glucose-Mediated Insulin Delivery
Gu, Z., Aimetti, A. A., Wang, Q., Dang, T. T., Zhang, Y., Omid Veiseh, A., Cheng, H., Langer, R., & Anderson, D. G. (2013) · ACS Nano · doi:10.1021/nn400630x · Cited by 463 · see citing works
Self-citationGlucose-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 429 · see citing works
Self-citationGlucose Sensing in Pancreatic β-Cells
Schuit, F. C., Huypens, P., Heimberg, H., & PIPELEERS, D. G. (2001) · Diabetes · doi:10.2337/diabetes.50.1.1 · Cited by 405 · see citing works
Pedersen‐Bjergaard, U., Pramming, S., Heller, S. R., Wallace, T. M., Rasmussen, Å. K., Jørgensen, H. V., Matthews, D. R., Hougaard, P., & Thorsteinsson, B. (2004) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.482 · Cited by 371 · see citing works
Hu, X., Yu, J., Qian, C., Lü, Y., Kahkoska, A. R., Xie, Z., Jing, X., Buse, J. B., & Gu, Z. (2017) · ACS Nano · doi:10.1021/acsnano.6b06892 · Cited by 313 · see citing works
Self-citationBolli, G. B., Riddle, M. C., Bergenstal, R. M., Ziemen, M., Sestakauskas, K., Goyeau, H., Home, P. D., & on behalf of the EDITION 3 study investigators (2015) · Diabetes, Obesity and Metabolism · doi:10.1111/dom.12438 · Cited by 301 · see citing works
Core–Shell Microneedle Gel for Self-Regulated Insulin Delivery
Wang, J., Ye, Y., Yu, J., Kahkoska, A. R., Zhang, X., Wang, C., Sun, W., Corder, R. D., Chen, Z., Khan, S. A., et al. (2018) · ACS Nano · doi:10.1021/acsnano.7b08152 · Cited by 299 · see citing works
Self-citationZwitterionic micelles efficiently deliver oral insulin without opening tight junctions
Han, X., Lü, Y., Xie, J., Zhang, E., Zhu, H. J., Du, H., Wang, K., Song, B., Yang, C., Shi, Y., et al. (2020) · Nature Nanotechnology · doi:10.1038/s41565-020-0693-6 · Cited by 299 · see citing works
Hypoxia and H 2 O 2 Dual-Sensitive Vesicles for Enhanced Glucose-Responsive Insulin Delivery
Yu, J., Qian, C., Zhang, Y., Cui, Z., Zhu, Y., Shen, Q., Ligler, F. S., Buse, J. B., & Gu, Z. (2017) · Nano Letters · doi:10.1021/acs.nanolett.6b03848 · Cited by 280 · see citing works
Self-citationSynthetic beta cells for fusion-mediated dynamic insulin secretion
Chen, Z., Wang, J., Sun, W., Ogunnaike, E. A., Kahkoska, A. R., Zhang, X., Lü, Y., Ligler, F. S., Buse, J. B., & Gu, Z. (2017) · Nature Chemical Biology · doi:10.1038/nchembio.2511 · Cited by 250 · see citing works
Self-citationMicroneedle biomedical devices
Zheng, M., Sheng, T., Yu, J., Gu, Z., & Xu, C. (2023) · Nature Reviews Bioengineering · doi:10.1038/s44222-023-00141-6 · Cited by 239 · see citing works
Self-citationChou, D. H., 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 237 · see citing works
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 · see citing works
ARENEBORONATES FROM DIOLS AND POLYOLS1
Kuivila, H. G., Keough, A. H., & Soboczenski, E. J. (1954) · The Journal of Organic Chemistry · doi:10.1021/jo01370a013 · Cited by 222 · see citing works
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 206 · see citing works
Injectable and Glucose-Responsive Hydrogels Based on Boronic Acid–Glucose Complexation
Dong, Y., Wang, W., Omid Veiseh, A., Appel, E. A., Xue, K., Webber, M. J., Tang, B. C., Yang, X., Weir, G. C., Langer, R., et al. (2016) · Langmuir · doi:10.1021/acs.langmuir.5b04755 · Cited by 187 · see citing works
Modulated insulin delivery from glucose-sensitive hydrogel dosage forms
Kim, J. J., & Park, K. (2001) · Journal of Controlled Release · doi:10.1016/s0168-3659(01)00447-3 · Cited by 174 · see citing works
Red 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 170 · see citing works
Self-citationCharge-switchable polymeric complex for glucose-responsive insulin delivery in mice and pigs
Wang, J., Yu, J., Zhang, Y., Zhang, X., Kahkoska, A. R., Chen, G., Wang, Z., Sun, W., Cai, L., Chen, Z., et al. (2019) · Science Advances · doi:10.1126/sciadv.aaw4357 · Cited by 168 · see citing works
Self-citationSynthetic “smart gel” provides glucose-responsive insulin delivery in diabetic mice
Matsumoto, A., Tanaka, M., Matsumoto, H., Ochi, K., Moro‐oka, Y., Kuwata, H., Yamada, H., Shirakawa, I., Miyazawa, T., Ishii, H., et al. (2017) · Science Advances · doi:10.1126/sciadv.aaq0723 · Cited by 165 · see citing works
Glucose-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 152 · see citing works
Self-citationConcanavalin A for in vivo glucose sensing: A biotoxicity review
Ballerstädt, R., Evans, C., McNichols, R. J., & Gowda, A. (2006) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2006.01.008 · Cited by 143 · see citing works
Glucose-responsive microneedle patch for closed-loop dual-hormone delivery in mice and pigs
Yang, C., Sheng, T., Hou, W., Zhang, J., Cheng, L., Wang, H., Liu, W., Wang, S., Yu, X., Zhang, Y., et al. (2022) · Science Advances · doi:10.1126/sciadv.add3197 · Cited by 143 · see citing works
Self-citationMiyata, T., Jikihara, A., Nakamae, K., & Hoffman, A. S. (2004) · Journal of Biomaterials Science Polymer Edition · doi:10.1163/1568562041753061 · Cited by 126 · see citing works
Dual self-regulated delivery of insulin and glucagon by a hybrid patch
Wang, Z., Wang, J., Li, H., Yu, J., Chen, G., Kahkoska, A. R., Wu, V., Zeng, Y., Wen, D., Miedema, J., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2011099117 · Cited by 120 · see citing works
Self-citationMicroneedle Patches Loaded with Nanovesicles for Glucose Transporter-Mediated Insulin Delivery
Chen, Q., Xiao, Z., Wang, C., Chen, G., Zhang, Y., Zhang, X., Han, X., Wang, J., Ye, X., Prausnitz, M. R., et al. (2022) · ACS Nano · doi:10.1021/acsnano.2c05687 · Cited by 95 · see citing works
Self-citationGlucose-responsive oral insulin delivery for postprandial glycemic regulation
Yu, J., Zhang, Y., Wang, J., Wen, D., Kahkoska, A. R., Buse, J. B., & Gu, Z. (2018) · Nano Research · doi:10.1007/s12274-018-2264-9 · Cited by 88 · see citing works
Self-citationMicroneedle-array patch with pH-sensitive formulation for glucose-responsive insulin delivery
Luo, F., Chen, G., Xu, W., Zhou, D. R., Li, J.-X., Huang, Y., Lin, R., Gu, Z., & Du, J. (2021) · Nano Research · doi:10.1007/s12274-020-3273-z · Cited by 78 · see citing works
Self-citationDevelopment of glucose-responsive ‘smart’ insulin systems
Rege, N. K., Phillips, N. F. B., & Weiss, M. A. (2017) · Current Opinion in Endocrinology Diabetes and Obesity · doi:10.1097/med.0000000000000345 · Cited by 72 · see citing works
Xiang, Y., Xian, S., Ollier, R. C., Yu, S., Su, B., Pramudya, I., & Webber, M. J. (2022) · Journal of Controlled Release · doi:10.1016/j.jconrel.2022.06.016 · Cited by 71 · see citing works
Mann, J. L., Maikawa, C. L., Smith, A. A. A., Grosskopf, A. K., Baker, S. W., Roth, G. A., Meis, C. M., Gale, E. C., Liong, C. S., Correa, S., et al. (2020) · Science Translational Medicine · doi:10.1126/scitranslmed.aba6676 · Cited by 62 · see citing works
Glucose transporter inhibitor-conjugated insulin mitigates hypoglycemia
Wang, J., Yu, J., Zhang, Y., Kahkoska, A. R., Wang, Z., Fang, J., Whitelegge, J. P., Li, S., Buse, J. B., & Gu, Z. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1901967116 · Cited by 59 · see citing works
Self-citationReversible Insulin Self-Assembly under Carbohydrate Control
Høeg-Jensen, T., Havelund, S., Nielsen, P. K., & Markussen, J. (2005) · Journal of the American Chemical Society · doi:10.1021/ja051038k · Cited by 58 · see citing works
Injectable Biodegradable Polymeric Complex for Glucose-Responsive Insulin Delivery
Wang, J., Wang, Z., Chen, G., Wang, Y., Ci, T., Li, H., Liu, X., Zhou, D. R., Kahkoska, A. R., Zhou, Z., et al. (2021) · ACS Nano · doi:10.1021/acsnano.0c07291 · Cited by 56 · see citing works
Self-citationRaccah, D., Chou, E., Colagiuri, S., Gaál, Z., Lavalle-Gonzalez, F. J., Mkrtumyan, A. M., Nikonova, E., Tentolouris, N., Vidal, J., & Davies, M. J. (2016) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.2858 · Cited by 46 · see citing works
Zhang, J., Wei, X., Liu, W., Wang, Y., Kahkoska, A. R., Zhou, X., Zheng, H., Zhang, W., Sheng, T., Zhang, Y., et al. (2023) · Nature Biomedical Engineering · doi:10.1038/s41551-023-01138-7 · Cited by 45 · see citing works
Self-citationGlucose‐Responsive Charge‐Switchable Lipid Nanoparticles for Insulin Delivery
Liu, Y., Wang, Y., Yao, Y., Zhang, J., Liu, W., Ji, K., Wei, X., Wang, Y., Liu, X., Zhang, S., et al. (2023) · Angewandte Chemie International Edition · doi:10.1002/anie.202303097 · Cited by 43 · see citing works
Self-citationClinical Evaluation of MK ‐2640: An Insulin Analog With Glucose‐Responsive Properties
Krug, A. W., Visser, S. A. G., Tsai, K., Kandala, B., Fancourt, C., Thornton, B., Morrow, L., Kaarsholm, N. C., Bernstein, H. S., Stoch, S. A., et al. (2018) · Clinical Pharmacology & Therapeutics · doi:10.1002/cpt.1215 · Cited by 42 · see citing works
A glucose-responsive insulin therapy protects animals against hypoglycemia
Yang, R., Wu, M. S., Lin, S., Nargund, R. P., Li, X., Kelly, T. M., Yan, L. Y., Dai, G., Qian, Y., Dallas-Yang, Q., et al. (2018) · JCI Insight · doi:10.1172/jci.insight.97476 · Cited by 39 · see citing works
Chen, Y., Gleaton, J., Yang, Y., Dhayalan, B., Phillips, N. B., Liu, Y., Broadwater, L., Jarosinski, M. A., Chatterjee, D., Lawrence, M. C., et al. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2103518118 · Cited by 34 · see citing works
Self-citationMilewska, M., & Wandzik, I. (2018) · Journal of macromolecular science. Part C, Reviews in macromolecular chemistry and physics/Journal of macromolecular science. Reviews in macromolecular chemistry and physics · doi:10.1080/15583724.2018.1443122 · Cited by 23 · see citing works
Wang, J., Wang, Z., Yu, J., Zhang, Y., Zeng, Y., & Gu, Z. (2019) · Biomaterials Science · doi:10.1039/c9bm01283d · Cited by 21 · see citing works
Self-citationA boronate gel-based synthetic platform for closed-loop insulin delivery systems
Matsumoto, A., & Chen, S. (2021) · Polymer Journal · doi:10.1038/s41428-021-00525-8 · Cited by 19 · see citing works
Injectable nanosized formulation for glucose-responsive insulin delivery
Wang, Y., Chen, P., Liu, W., Wei, X., Zhang, J., Wei, X., Liu, Y., Rao, L., Zhang, S., Yu, J., et al. (2023) · Nano Today · doi:10.1016/j.nantod.2023.101937 · Cited by 17 · see citing works
Self-citationEnzyme triggered pH sensitive liposomes for insulin delivery
Jain, S., Amit, K., Chalasani, K. B., Jain, A., Chourasia, M. K., Jain, A., & Jain, N. K. (2007) · Journal of Drug Delivery Science and Technology · doi:10.1016/s1773-2247(07)50080-8 · Cited by 13 · see citing works
Qiu, Y., Agrawal, R., Chen, D., Zheng, N., DURUPT, G. T., Kim, J. H., Fisher, S. J., & Chou, D. H. (2019) · Advanced Therapeutics · doi:10.1002/adtp.201900128 · Cited by 12 · see citing works
Lin, N.-P., Zheng, N., Purushottam, L., Zhang, Y. W., & Chou, D. H. (2022) · Frontiers in Chemistry · doi:10.3389/fchem.2022.859133 · Cited by 9 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Regulation and function of insulin and insulin-like growth factor receptor signalling
Choi, E., Duan, C., & Bai, X. (2025) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-025-00826-3 · Cited by 93 · see citing works
Advances in Nanomedicine for Precision Insulin Delivery
Caturano, A., Nilo, R., Nilo, D., Russo, V., Santonastaso, E., Galiero, R., Rinaldi, L., Monda, M., Sardu, C., Marfella, R., et al. (2024) · Pharmaceuticals · doi:10.3390/ph17070945 · Cited by 45 · see citing works
“If successfully adapted for oral administration, this system could better mimic endogenous insulin secretion and distribution, thereby improving blood glucose level regulation and control, especially if incorporated with a hybrid system for automated insulin delivery [211,212].”
BackgroundThe future of type 1 diabetes therapy
Ziegler, A.-G., Cengiz, E., & Kay, T. W. H. (2025) · The Lancet · doi:10.1016/s0140-6736(25)01438-2 · Cited by 42 · see citing works
Davies, M. J., Lim, S. K., Slater, T., Goldney, J., Philis‐Tsimikas, A., Franco, D. R., Lamptey, R., Yates, T. E., Tankova, T. I., & Lingvay, I. (2026) · Nature Reviews Disease Primers · doi:10.1038/s41572-026-00687-w · Cited by 36 · see citing works
Nano-based therapy for type 1 diabetes: from immuno-intervention to insulin delivery
Pang, H., Chen, Z., & Han, F. Y. (2025) · Acta Biomaterialia · doi:10.1016/j.actbio.2025.06.016 · Cited by 6 · see citing works
Engineering Glucose‐Responsive Insulin Granules with High‐Payload for Long‐Acting Glycemic Control
Chen, D.-Z., Yang, L., Ni, S., Jin, C., Xu, C., Zan, X.-J., Wang, Y., & Zhu, H. (2025) · Advances in Materials · doi:10.1002/adma.202501344 · Cited by 6 · see citing works
Smart insulin switches itself off in response to low blood sugar
Sacks, D. B. (2024) · Nature · doi:10.1038/d41586-024-03286-5 · Cited by 3 · see citing works
Tu, L.-S., Liu, T.-W., & Hsiao, H. (2025) · Lab on a Chip · doi:10.1039/d5lc00700c · Cited by 2 · see citing works
Designing biomaterial-based oral protein drug-delivery systems for therapeutics
Zheng, C., Lin, X., Zhou, K., Yang, J., Sun, C., & Lv, L. (2026) · Materials & Design · doi:10.1016/j.matdes.2026.115933 · Cited by 2 · see citing works
Advances in injectable and transdermal glucose-responsive insulin delivery systems
Kaihui, L. I., Zhang, X., Gu, Z., & Wang, J. (2026) · Journal of Zhejiang University (Medical Sciences) · doi:10.3724/zdxbyxb-2025-0656 · Cited by 1 · see citing works
Self-citationInnovative regenerative genetic and nano therapies for diabetes and metabolic disease
Spanorriga, M., Fragoulis, C., Bega, I., Mavromoustakou, K., Gatsouniotis, I., Lontou, S.-P., Dimitriadis, K., Aznaouridis, K., Ktenopoulos, N., Thanopoulou, A., et al. (2026) · Exploration of Endocrine and Metabolic Diseases · doi:10.37349/eemd.2026.101461 · Cited by 1 · see citing works
Diabetic gastroparesis: pathophysiology and impact on insulin timing choices
Galeano, F., Tumminia, A., Oteri, V., Le Moli, R., Piticchio, T., Scilletta, S., Di Marco, M., Di Pino, A., & Frasca, F. (2026) · Endocrine · doi:10.1007/s12020-026-04693-6
“…aim to decouple metabolic efficacy from rigid injection timing, modulating insu - lin activity in response to ambient glucose levels: GRIs are designed to increase their activity or release rate during hyperglycemia and to reduce activity during normogly-cemia or impending hypoglycemia [162–164].”
Long-term blood sugar control with smart insulin crystals
(2025) · Nature Nanotechnology · doi:10.1038/s41565-025-01871-x
System Failure in Type 1 Diabetes: What Stakeholders Need to Know to Expedite Therapeutic Options
Dayan, C. M., Mathieu, C., Lowenstein, D., & Soler, L. (2025) · Diabetes Spectrum · doi:10.2337/ds25-0024
Luo, C., Xu, C., Ni, S., Yang, L., Jin, C., Zan, X., & He, D. (2026) · Materials Today Advances · doi:10.1016/j.mtadv.2026.100817
Zanbili, F., Asadzadeh, F., & Marjani, A. P. (2026) · Inorganic Chemistry Communications · doi:10.1016/j.inoche.2026.117207
Glucose-responsive nanocarriers for biomedical application
Atta, A. Y. A., Mahmoud, S. A., Fahmy, H. M., & Goda, E. S. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-33641-6.00013-0
Initiation of Continuous Glucose Monitoring and Insulin Pump Therapy
Hindmarsh, P. C., Gupta, A., Swart, A., & Cooper, A. (2026) · Springer eBooks · doi:10.1007/978-3-032-24854-1_6
The Diabetes Technology Timeline
Sriravindrarajah, A., Forner, P. M., & SNAITH, J. R. (2026) · Springer eBooks · doi:10.1007/978-3-032-24854-1_1
- Authors
- Liu, Y., Wang, S., Wang, Z., Yu, J., Wang, J., Buse, J. B., & Gu, Z.
- Affiliations
- Zhejiang University (CN)
- Northeastern University (CN)
- Sir Run Run Shaw Hospital (CN)
- Second Affiliated Hospital of Zhejiang University (CN)
- University of North Carolina at Chapel Hill (US)
- Corresponding author
- Buse, John B.
- Gu, Zhen
- Venue
- Diabetes
- Publisher
- American Diabetes Association
- Published
- 2024-06-10
- Volume
- 73
- Issue
- 9
- Pages
- 1377-1388
- ISSN
- 0012-1797 (ISSN-L)
- 1939-327X
- OpenAlex
- W4399488226
- Cited by
- 19
- References
- 50
- Citations by year
- 2026: 10 · 2025: 7 · 2024: 2
- FWCI
- 1.11
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Diabetes (publishedVersion)
- PubMed (publishedVersion)
- Funders
- the Starry Night Science Fund at Shanghai Institute for Advanced Study of Zhejiang University (SN-ZJU-SIAS-009)
- JDRF (2-SRA-2021-1064-M-B, 2-SRA-2022-1159-M-B)
- Chinese Polar Environment Comprehensive Investigation and Assessment Programmes (2022YFE0202200)
- National Natural Science Foundation of China (32271380)
- Kunpeng program from Zhejiang Province
- the Startup Packages of Zhejiang University
- Fundamental Research Funds for the Central Universities (2021FZZX001-46)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmaceutical Science › Advanced Drug Delivery Systems
- Health Sciences › Medicine › Surgery › Pancreatic function and diabetes
- Keywords
- glucose-responsive insulin, insulin replacement therapy, type 1 diabetes, type 2 diabetes, insulin analogues, glycemic control, hypoglycemia, glycemic excursions
- MeSH terms
- Animals, Blood Glucose, Diabetes Mellitus, Type 1, Diabetes Mellitus, Type 2, Humans, Hypoglycemic Agents, Insulin
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