Evidence map›Paper›PMID 38665655›Full record

ArticleJACS Au2024

Antidiabetic Close Loop Based on Wearable DNA-Hydrogel Glucometer and Implantable Optogenetic Cells.

Tiantian Man, Guiling Yu, Fulin Zhu, Yaqi Huang, Yueyu Wang, Yan Su, Shengyuan Deng, Hao Pei, Li Li, Haifeng Ye and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JACS Au, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
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

11 authors.

Tiantian ManSchool of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Guiling YuInstitute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai 200241, China.
Fulin ZhuSchool of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Yaqi HuangSchool of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Yueyu WangSchool of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Yan SuSchool of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Shengyuan DengKey Laboratory of Metabolic Engineering and Biosynthesis Technology of Ministry of Industry and Information Technology, Nanjing University of Science and Technology, Nanjing 210094, China.ORCID https://orcid.org/0000-0002-6382-0976
Hao PeiShanghai Key Laboratory of Green Chemistry and Chemical Processes, School of Chemistry and Molecular Engineering, East China Normal University, Shanghai 200241, China.ORCID https://orcid.org/0000-0002-6885-6708
Li LiShanghai Key Laboratory of Green Chemistry and Chemical Processes, School of Chemistry and Molecular Engineering, East China Normal University, Shanghai 200241, China.ORCID https://orcid.org/0000-0001-8494-4997
Haifeng YeInstitute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai 200241, China.ORCID https://orcid.org/0000-0002-5482-8116
Ying WanSchool of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.ORCID https://orcid.org/0000-0002-3409-0492

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus and its associated secondary complications have become a pressing global healthcare issue. The current integrated theranostic plan involves a glucometer-tandem pump. However, external condition-responsive insulin delivery systems utilizing rigid glucose sensors pose challenges in on-demand, long-term insulin administration. To overcome these challenges, we present a novel model of antidiabetic management based on printable metallo-nucleotide hydrogels and optogenetic engineering. The conductive hydrogels were self-assembled by bioorthogonal chemistry using oligonucleotides, carbon nanotubes, and glucose oxidase, enabling continuous glucose monitoring in a broad range (0.5-40 mM). The optogenetically engineered cells were enabled glucose regulation in type I diabetic mice via a far-red light-induced transgenic expression of insulin with a month-long avidity. Combining with a microchip-integrated microneedle patch, a prototyped close-loop system was constructed. The glucose levels detected by the sensor were received and converted by a wireless controller to modulate far-infrared light, thereby achieving on-demand insulin expression for several weeks. This study sheds new light on developing next-generation diagnostic and therapy systems for personalized and digitalized precision medicine.

Identifiers

PMID38665655
PMCPMC11040667

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Registered trials

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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.