Evidence mapPaperPMID 42527690Full record

ArticleNature nanotechnology2026

Strain-isolated microneedles for ambulatory hormonal and metabolic monitoring.

Gwangmook Kim, Seokjoo Cho, Hyunah Ahn, Canran Wang, Hong Han, Xiaotian Ma, Moon-Ju Kim, Jin Qu, Jihong Min, Wei Gao

Abstract read
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In one paragraph

Article in Nature nanotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Gwangmook KimAndrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0002-7469-408X
Seokjoo ChoAndrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0001-5499-1266
Hyunah AhnAndrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA.
Canran WangAndrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA.
Hong HanAndrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0002-2852-8662
Xiaotian MaAndrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0009-0000-8357-9916
Moon-Ju KimAndrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0002-8026-5409
Jin QuAndrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA.
Jihong MinAndrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0002-5788-1473
Wei GaoAndrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA. weigao@caltech.edu.ORCID http://orcid.org/0000-0002-8503-4562

Funding

Develop a wireless, skin-conformable and dual-sensing wearable system in support of voice and upper airway telehealth careR01DC021461 · CALIFORNIA INSTITUTE OF TECHNOLOGY · 2025 to 2025
$583k
Laser-Engraved Wearable Sweat Sensors to Detect and Monitor Cardiometabolic DiseaseR01HL155815 · CALIFORNIA INSTITUTE OF TECHNOLOGY · 2025 to 2025
$399k
National Science Foundation (NSF) 2145802National Science Foundation (NSF) 2444815United States Department of Defense | United States Army | Army Medical Command | Congressionally Directed Medical Research Programs (CDMRP) HT9425-24-1-0249United States Department of Defense | United States Army | U.S. Army Research, Development and Engineering Command | Army Research Office (ARO) W911NF-23-1-0041U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01DC021461U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01HL155815
6 · The paper itself

Abstract

Hormones and metabolites jointly regulate physiology yet their dynamic interplay remains difficult to resolve due to the lack of technologies for continuous, multiplexed monitoring. Microneedle biosensors that access dermal interstitial fluid offer a minimally invasive approach to molecular profiling, but deployment is limited by trade-offs between fabrication scalability and precision, and by mechanical instability under skin deformation. Here we present a strain-isolated microneedle platform fabricated by combining two-photon polymerization with ultrasound-assisted moulding, enabling scalable replication of submicrometre-sharp microneedles (∼430-nm apex width) bearing hierarchical, high-surface-area microstructures. Nanostructured gold and platinum electrodes enable high-fidelity sensing at the single-needle level, providing a 4.7-fold higher peak current and a 9-fold larger electrochemical surface area, respectively. Mechanical decoupling of the sensing interface from tissue deformation preserves stable molecular access during motion. When integrated with battery-free wireless electronics and multiplexed aptameric and enzymatic sensors, the system enables continuous in vivo monitoring of serotonin and glucose for 12 h. In freely moving rats, the platform captures biomolecular dynamics associated with stress, feeding and circadian rhythms. This work establishes a mechanically robust, scalable microneedle biointerface for ambulatory molecular monitoring and context-aware assessment of physiological state.

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.