Evidence map›Paper›PMID 38245507›Full record

ArticleNature communications2024

Interindividual- and blood-correlated sweat phenylalanine multimodal analytical biochips for tracking exercise metabolism.

Bowen Zhong, Xiaokun Qin, Hao Xu, Lingchen Liu, Linlin Li, Zhexin Li, Limin Cao, Zheng Lou, Joshua A Jackman, Nam-Joon Cho and 1 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Review
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  12. Artificial Nervous Systems.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  13. Article
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  15. Article
  16. Article
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  18. Article
  19. From Lab to Life: Self-Powered Sweat Sensors and Their Future in Personal Health Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  20. 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

11 authors.

Bowen ZhongState Key Laboratory for Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China.
Xiaokun QinState Key Laboratory for Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China.
Hao XuState Key Laboratory for Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China.
Lingchen LiuState Key Laboratory for Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China.
Linlin LiState Key Laboratory for Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China.
Zhexin LiState Key Laboratory for Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China.
Limin CaoTianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Zheng LouState Key Laboratory for Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China.ORCID 0000-0001-5744-3759
Joshua A JackmanSchool of Chemical Engineering and Translational Nanobioscience Research Center, Sungkyunkwan University, Suwon, 16419, Republic of Korea.ORCID 0000-0002-1800-8102
Nam-Joon ChoSchool of Materials Science and Engineering, Nanyang Technological University, 637553, Singapore, Singapore.
Lili WangState Key Laboratory for Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China. liliwang@semi.ac.cn.ORCID 0000-0002-0422-4277

Funding

National Natural Science Foundation of China (National Science Foundation of China) 62022079National Natural Science Foundation of China (National Science Foundation of China) 62174152National Natural Science Foundation of China (National Science Foundation of China) 62374159
6 · The paper itself

Abstract

In situ monitoring of endogenous amino acid loss through sweat can provide physiological insights into health and metabolism. However, existing amino acid biosensors are unable to quantitatively assess metabolic status during exercise and are rarely used to establish blood-sweat correlations because they only detect a single concentration indicator and disregard sweat rate. Here, we present a wearable multimodal biochip integrated with advanced electrochemical electrodes and multipurpose microfluidic channels that enables simultaneous quantification of multiple sweat indicators, including phenylalanine and chloride, as well as sweat rate. This combined measurement approach reveals a negative correlation between sweat phenylalanine levels and sweat rates among individuals, which further enables identification of individuals at high metabolic risk. By tracking phenylalanine fluctuations induced by protein intake during exercise and normalizing the concentration indicator by sweat rates to reduce interindividual variability, we demonstrate a reliable method to correlate and analyze sweat-blood phenylalanine levels for personal health monitoring.

Indexed as

Biosensing TechniquesSweatAmino AcidsHumansPhenylalanineSweatingAmino AcidsPhenylalanine

Identifiers

PMID38245507
PMCPMC10799919

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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.