Evidence map›Paper›PMID 39743337›Full record

ArticleAnalytical chemistry2025

Noninvasive Optical Sensing of Aging and Diet Preferences Using Raman Spectroscopy.

Isaac D Juárez, Alexandra Naron, Heidi Blank, Michael Polymenis, David W Threadgill, Regan L Bailey, Patrick J Stover, Dmitry Kurouski

Abstract read
In one paragraph

Article in Analytical chemistry, 2025. 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. Raman spectroscopy for agricultural applications.Frontiers in plant science · 2025
    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

8 authors.

Isaac D JuárezDepartment of Biochemistry and Biophysics, Texas A&M University, College Station, Texas 77843, United States.
Alexandra NaronDepartment of Biochemistry and Biophysics, Texas A&M University, College Station, Texas 77843, United States.
Heidi BlankDepartment of Biochemistry and Biophysics, Texas A&M University, College Station, Texas 77843, United States.
Michael PolymenisDepartment of Biochemistry and Biophysics, Texas A&M University, College Station, Texas 77843, United States.
David W ThreadgillDepartment of Biochemistry and Biophysics, Texas A&M University, College Station, Texas 77843, United States.
Regan L BaileyDepartment of Nutrition, Texas A&M University, College Station, Texas 77843, United States.
Patrick J StoverDepartment of Biochemistry and Biophysics, Texas A&M University, College Station, Texas 77843, United States.
Dmitry KurouskiDepartment of Biochemistry and Biophysics, Texas A&M University, College Station, Texas 77843, United States.ORCID 0000-0002-6040-4213

Funding

Regulatory Science in Environmental Health and ToxicologyT32ES026568 · NIEHS · TEXAS A&M UNIVERSITY · PI Weihsueh A Chiu, Natalie M Johnson · 2016 to 2026
$3.8M
Coupling Of Protein Synthesis With Cell DivisionR01GM123139 · NIGMS · TEXAS A&M AGRILIFE RESEARCH · PI POLYMENIS, MICHAEL S · 2017 to 2024
$2.9M
Foundational studies for precision nutritionR01DK130333 · NIDDK · TEXAS A&M AGRILIFE RESEARCH · PI THREADGILL, DAVID W. · 2021 to 2024
$2.6M
NIDDK NIH HHS R01 DK130333NIEHS NIH HHS T32 ES026568NIGMS NIH HHS R01 GM123139
6 · The paper itself

Abstract

Effective dietary strategies and interventions for monitoring dietary exposures require accurate and noninvasive methods to understand how diet modulates health and risk of obesity; advances in technology are transforming the landscape and enabling more specific tailored approaches to nutritional guidance. This study explores the use of Raman spectroscopy (RS), a noninvasive and nondestructive analytical technique, to identify changes in the mice skin in response to constant dietary exposures. We found that RS is highly accurate to determine body composition as a result of habitual dietary patterns, specifically Vegan, Typical American, and Ketogenic diets, all very common in the US context. RS is based on major differences in the intensities of vibrational bands that originate from collagen. Moreover, RS could be used to predict folate deficiency and identify the sex of the animals. Finally, we found that RS could be used to track the chronological age of the mice. Considering the hand-held nature of the utilized spectrometer, one can expect that RS could be used to monitor and, consequently, personalize effects of diet on the body composition.

Indexed as

AgingDietSpectrum Analysis, RamanAnimalsBody CompositionFemaleMaleMiceMice, Inbred C57BLSkin

Identifiers

PMID39743337
PMCPMC11740184

What OpenQuestion holds

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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.