NCT07217951

Brief Summary

Current health devices often overlook older users, who may face both health challenges and technology barriers. We are investigating the feasibility of wearable sensors to track posture, heart rate, and breathing, alongside a microneedle patch that collect body fluids to measure stress and inflammation markers. By combining this data, we aim to create an easy to use system that supports personalized, at home health monitoring for older adults.

Trial Health

63
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
20

participants targeted

Target at below P25 for all trials

Timeline
27mo left

Started Dec 2025

Typical duration for all trials

Geographic Reach
1 country

1 active site

Status
not yet recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress20%
Dec 2025Sep 2028

First Submitted

Initial submission to the registry

October 15, 2025

Completed
5 days until next milestone

First Posted

Study publicly available on registry

October 20, 2025

Completed
1 month until next milestone

Study Start

First participant enrolled

December 1, 2025

Completed
2.8 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

September 1, 2028

Expected
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

September 1, 2028

Last Updated

October 20, 2025

Status Verified

October 1, 2025

Enrollment Period

2.8 years

First QC Date

October 15, 2025

Last Update Submit

October 16, 2025

Conditions

Keywords

wearable sensorsolder adultsagingmobilityinflammation

Outcome Measures

Primary Outcomes (1)

  • Subtle biomechanical signals and interstitial fluid with key biomarkers.

    We propose the use of eutectogel-based strain sensors as a soft, conformable platform for capturing subtle biomechanical signals, including posture shifts, respiratory motion, and joint movements. These gels offer unique advantages in comfort and stretchability that make them ideal for long-term use by older adults. Complementing this, we integrate hydrogel-based microneedle patches for the continuous and minimally invasive collection of interstitial fluid to measure key biomarkers: cortisol and dopamine (using the PAA/GelMA microneedle-dPAD system) and C-reactive protein (via the Gelatin/OxP microneedle µPAD platform). These biomarkers are critically relevant to monitoring stress, inflammation, and mental health-all major contributors to declining independence in aging populations. By applying machine learning methods to passively interpret this multimodal dataset, our approach addresses the unmet need for integrated, unobtrusive health monitoring systems tailored to the aging popula

    From enrollment to end of study period at 8 days.

Study Arms (1)

Older adults

Adults aged 65 or older

Device: Eutectogel Sensors and Microneedle Patches

Interventions

Eutectogel Sensors: While the exact eutectogel formulation in this study has not been previously tested in humans, similar eutectogel-based materials have been employed in wearable biosensing devices with human participants. These systems are typically composed of biocompatible matrices such as gelatin or polyacrylamide combined with deep eutectic solvents (DES) to improve ionic conductivity and flexibility. Microneedle Patches: The microneedle patch in this study is composed of poly(acrylic acid)/gelatin methacryloyl (PAA/GelMA), gelatin/oxidized pectin (Gelatin/OxP), and methacrylated hyaluronic acid/maleic anhydride (MeHA/MA). Although the integrated use of these specific compositions has not yet been evaluated in humans, the materials themselves, as well as similar microneedle architectures, have been thoroughly investigated in vivo and even in clinical trials.

Older adults

Eligibility Criteria

Age65 Years+
Sexall
Healthy VolunteersYes
Age GroupsOlder Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Older adults aged 65 and older.

You may qualify if:

  • Aged 65 or older
  • Expressed willingness to participate.
  • Able to give written informed consent
  • Able to operate a smartphone and complete surveys

You may not qualify if:

  • Reliance on assistive walking devices
  • Inability to operate a smartphone
  • Unable to complete surveys
  • Unable to give written informed consent
  • Younger than 65 years old
  • Known skin allergies to kinesiology tape (KT tape)

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Jean Mayer USDA Human Nutrition Research Center on Aging

Boston, Massachusetts, 02111, United States

Location

Related Publications (24)

  • Nasreddine ZS, Phillips NA, Bedirian V, Charbonneau S, Whitehead V, Collin I, Cummings JL, Chertkow H. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005 Apr;53(4):695-9. doi: 10.1111/j.1532-5415.2005.53221.x.

    PMID: 15817019BACKGROUND
  • Dongiovanni P, Meroni M, Casati S, Goldoni R, Thomaz DV, Kehr NS, Galimberti D, Del Fabbro M, Tartaglia GM. Salivary biomarkers: novel noninvasive tools to diagnose chronic inflammation. Int J Oral Sci. 2023 Jun 29;15(1):27. doi: 10.1038/s41368-023-00231-6.

    PMID: 37386003BACKGROUND
  • Wu Z, Qiao Z, Chen S, et al. Interstitial fluid-based wearable biosensors for minimally invasive healthcare and biomedical applications. Communications Materials. 2024;5(1):33. 10.1038/s43246-024-00468-6,

    BACKGROUND
  • Cheng KC, Aeron S, Hughes MC, Miller EL. Nonparametric and Regularized Dynamical Wasserstein Barycenters for Sequential Observations. IEEE Transactions on Signal Processing. 2022;71:3164-3178.

    BACKGROUND
  • Cheng K, Aeron S, Hughes MC, Miller EL. Dynamical Wasserstein barycenters for time-series modeling. Advances in Neural Information Processing Systems. 2021;34:27991-28003

    BACKGROUND
  • Zhang H, Miller EL, Abriola LM. Manifold regression for subsurface contaminant characterization based on sparse concentration data. Paper presented at: 2014 IEEE Geoscience and Remote Sensing Symposium; 13-18 July 2014, 2014.

    BACKGROUND
  • Bhattarai KR, Kim HR, Chae HJ. Compliance with Saliva Collection Protocol in Healthy Volunteers: Strategies for Managing Risk and Errors. Int J Med Sci. 2018 May 22;15(8):823-831. doi: 10.7150/ijms.25146. eCollection 2018.

    PMID: 30008593BACKGROUND
  • Gupta S, Nayak MT, Sunitha JD, Dawar G, Sinha N, Rallan NS. Correlation of salivary glucose level with blood glucose level in diabetes mellitus. J Oral Maxillofac Pathol. 2017 Sep-Dec;21(3):334-339. doi: 10.4103/jomfp.JOMFP_222_15.

    PMID: 29391704BACKGROUND
  • Iijima H, Shimoura K, Eguchi R, Aoyama T, Takahashi M. Concurrent validity and measurement error of stair climb test in people with pre-radiographic to mild knee osteoarthritis. Gait Posture. 2019 Feb;68:335-339. doi: 10.1016/j.gaitpost.2018.12.014. Epub 2018 Dec 10.

    PMID: 30576977BACKGROUND
  • Jones CJ, Rikli RE, Beam WC. A 30-s chair-stand test as a measure of lower body strength in community-residing older adults. Res Q Exerc Sport. 1999 Jun;70(2):113-9. doi: 10.1080/02701367.1999.10608028.

    PMID: 10380242BACKGROUND
  • Gelatin Food additive and GRAS regulations. U.S. Food and Drug Administration; 2025.

    BACKGROUND
  • 184.1724 Sodium Alginate. Code of Federal Regulations Title 21.

    BACKGROUND
  • CELLULOSE, MICROCRYSTALLINE. U.S. Food and Drug Administration; 2025

    BACKGROUND
  • Master H, Coleman G, Dobson F, Bennell K, Hinman RS, Jakiela JT, White DK. A Narrative Review on Measurement Properties of Fixed-distance Walk Tests Up to 40 Meters for Adults With Knee Osteoarthritis. J Rheumatol. 2021 May;48(5):638-647. doi: 10.3899/jrheum.200771. Epub 2020 Oct 15.

    PMID: 33060316BACKGROUND
  • 182.1320 Glycerin. Code of Federal Regulations Title 21, Environmental Protection Agency; 2025

    BACKGROUND
  • Zhang J, Li H, Albakr L, Zhang Y, Lu A, Chen W, Shao T, Zhu L, Yuan H, Yang G, Wheate NJ, Kang L, Wu C. Microneedle-enabled therapeutics delivery and biosensing in clinical trials. J Control Release. 2023 Aug;360:687-704. doi: 10.1016/j.jconrel.2023.07.023. Epub 2023 Jul 19.

    PMID: 37442203BACKGROUND
  • Zhu J, Zhou X, Kim HJ, et al. Gelatin Methacryloyl Microneedle Patches for Minimally Invasive Extraction of Skin Interstitial Fluid. Small. 2020;16(16):e1905910. PMC7182487. 9. Chang H, Zheng M, Yu X, et al. A Swellable Microneedle Patch to Rapidly Extract Skin Interstitial Fluid for Timely Metabolic Analysis. Adv Mater. 2017;29(37). 10.1002/adma.201702243

    BACKGROUND
  • Long W, George Joy J, Lee SJ, Kim JC. Collagen- and Hyaluronic Acid-Based Microneedles With Thiolated Pectin for Redox-Responsive Drug Delivery. J Biomed Mater Res A. 2025 Apr;113(4):e37903. doi: 10.1002/jbm.a.37903.

    PMID: 40156176BACKGROUND
  • Shu Y, Qi Y, Zou Y, Huang Y, Chen J, Li J, Chen L, Zhu X. A gelatin microneedles featuring antibacterial and reactive oxygen species scavenging properties for treating Vibrio vulnificus-infected wounds. Int J Biol Macromol. 2025 May;309(Pt 1):142640. doi: 10.1016/j.ijbiomac.2025.142640. Epub 2025 Mar 28.

    PMID: 40158599BACKGROUND
  • Liu D, Wang S, Wang H, Zhang Z, Wang H. A flexible, stretchable and wearable strain sensor based on physical eutectogels for deep learning-assisted motion identification. J Mater Chem B. 2024 Jun 27;12(25):6102-6116. doi: 10.1039/d4tb00809j.

    PMID: 38836422BACKGROUND
  • Lu Q, Li H, Tan Z. Zwitterionic Eutectogel-Based Wearable Strain Sensor with Superior Stretchability, Self-Healing, Self-Adhesion, and Wide Temperature Tolerance. ACS Appl Mater Interfaces. 2023 Jul 19;15(28):34055-34063. doi: 10.1021/acsami.3c05848. Epub 2023 Jul 6.

    PMID: 37410953BACKGROUND
  • Wang Y, Zhou W, Shen C, Jiang G, Yang C. Flexible and printable integrated biosensors for monitoring sweat and skin condition. Anal Biochem. 2023 Jan 15;661:114985. doi: 10.1016/j.ab.2022.114985. Epub 2022 Nov 19.

    PMID: 36414087BACKGROUND
  • Qin H, Owyeung RE, Sonkusale SR, Panzer MJ. Highly stretchable and nonvolatile gelatin-supported deep eutectic solvent gel electrolyte-based ionic skins for strain and pressure sensing. Journal of Materials Chemistry C. 2019;7(3):601-608. 10.1039/C8TC05918G

    BACKGROUND
  • Wei Z, Jia L, Yu J, Xu H, Guo X, Xiang T, Zhou S. Environmentally tolerant multifunctional eutectogel for highly sensitive wearable sensors. Mater Horiz. 2025 Apr 14;12(8):2604-2618. doi: 10.1039/d4mh01665c.

    PMID: 39806946BACKGROUND

MeSH Terms

Conditions

Inflammation

Condition Hierarchy (Ancestors)

Pathologic ProcessesPathological Conditions, Signs and Symptoms

Study Officials

  • Sameer Sonkusale, PhD

    Tufts University

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Kyla Shea, PhD

CONTACT

Emilie Buisson, MS

CONTACT

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

October 15, 2025

First Posted

October 20, 2025

Study Start

December 1, 2025

Primary Completion (Estimated)

September 1, 2028

Study Completion (Estimated)

September 1, 2028

Last Updated

October 20, 2025

Record last verified: 2025-10

Data Sharing

IPD Sharing
Will not share

Locations