Evidence map›Paper›PMID 41646583›Full record

ArticleCureus2026

Validation of a Novel Method for Measuring Sweat-Derived Immunoglobulin A.

Sayuri Goryoda, Mio Yamasawa, Yuho Ogasawara, Hyugo Tsukada, Syunsuke Ueda, Mai Wako, Kuniaki Nagamine

Abstract read
In one paragraph

Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Sayuri GoryodaIntegrated Food and Agricultural Science, Yamagata University, Tsuruoka, JPN.
Mio YamasawaIntegrated Food and Agricultural Science, Yamagata University, Tsuruoka, JPN.
Yuho OgasawaraIntegrated Food and Agricultural Science, Yamagata University, Tsuruoka, JPN.
Hyugo TsukadaGraduate School of Organic Materials Science, Yamagata University, Yonezawa, JPN.
Syunsuke UedaGraduate School of Organic Materials Science, Yamagata University, Yonezawa, JPN.
Mai WakoPolymeric and Organic Materials Engineering, Yamagata University, Yonezawa, JPN.
Kuniaki NagamineAgri-Food Branding, Yamagata University Advanced Agri-Food System Research Center (YAAS), Tsuruoka, JPN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionImmunoglobulin A (IgA) is a major antibody responsible for mucosal immunity, abundant in saliva, tears, airways, and the gastrointestinal tract, where it functions as the first line of defense against pathogens. In recent years, simple and non-invasive methods for monitoring IgA levels have become increasingly important for health management and disease prevention. Blood and saliva are routinely used to detect IgA levels; however, blood sampling is invasive, and saliva is strongly influenced by psychological states, limiting high-frequency or real-time monitoring. This study evaluated the feasibility of measuring IgA from sweat using a non-invasive skin surface collection method.

methodsThe study included 60 non-medical undergraduate and graduate students (25 males, 35 females; mean age 20.5 ± 1.4 years). Participants with skin disorders, immune dysfunctions, or active infections were excluded. Sweat samples were collected during three periods in 2023 (June, July-August, November) in a laboratory setting maintained at 18-25°C. After hand washing and disinfection, 100 µL of phosphate-buffered saline (PBS) was applied to the fingertip with a cap fixed by medical tape and exposed for one, three, five, or 30 min. PBS was recovered, frozen at -20°C, and analyzed for secretory IgA (s-IgA) using enzyme-linked immunosorbent assays (ELISA). Two commercial kits (Yanaihara Institute and Abcam) were used, with all assays conducted by the same investigator. Short exposure conditions (1-5 min) yielded IgA below the detection threshold. However, under the 30-minute exposure condition, IgA was successfully detected. In the third collection period using the Abcam kit, quantification success rates were 83%, 90%, and 90% across three repeated measurements.

resultsMean IgA concentrations were 5.37 ± 11.27, 5.81 ± 10.10, and 7.96 ± 12.47 ng/mL. Although some samples exceeded the upper or lower detection limits, reproducibility was acceptable, showing that sweat IgA can be reliably measured. To the best of our knowledge, this study is the first to demonstrate successful detection of sweat IgA using a simple, non-invasive PBS exposure method. Compared with blood or saliva testing, this technique is less invasive and suitable for routine use. Integration with biosensing and wearable technologies may enable real-time monitoring of immune function in daily life. Challenges remain, including individual variability, environmental influences, and standardization of procedures. Future research should focus on the following objectives: increasing reproducibility, clarifying the role of lifestyle and gut microbiota in sweat IgA dynamics, and reducing the collection time for practical application.

conclusionThis study presents a novel method for non-invasive measurement of IgA from sweat, providing a technological foundation for applications in health monitoring and preventive medicine. With further refinement, sweat IgA monitoring could become a valuable tool for routine immune assessment, early disease detection, and personalized medical care.

Indexed as

igaimmune systemsalivaskin surfacesweat

Identifiers

PMID41646583
PMCPMC12869843

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.