Evidence map›Paper›PMID 40799083›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Water, Collagen, and Lipid Content in the Human Skin and Muscles Assessed with Near-Infrared Diffuse Reflectance Spectroscopy and Multi-Spectral Optoacoustic Tomography.

Denis Davydov, Alexey Kurnikov, Pavel Subochev, Gleb Budylin, Nikolay Fadeev, Ivan Filippov, Natalia Mokrysheva, Liliya Urusova, Daniel Razansky, Evgeny Shirshin

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Denis DavydovLaboratory of Clinical Biophotonics, Institute for Regenerative Medicine, I.M. Sechenov First Moscow State Medical University, Moscow, 119048, Russia.
Alexey KurnikovLaboratory of ultrasound and optoacoustic diagnostics, Division of radiophysics methods in medicine, A.V. Gaponov-Grekhov Institute of Applied Physics RAS, Nizhny Novgorod, 603950, Russia.
Pavel SubochevLaboratory of ultrasound and optoacoustic diagnostics, Division of radiophysics methods in medicine, A.V. Gaponov-Grekhov Institute of Applied Physics RAS, Nizhny Novgorod, 603950, Russia.
Gleb BudylinLaboratory of Clinical Biophotonics, Institute for Regenerative Medicine, I.M. Sechenov First Moscow State Medical University, Moscow, 119048, Russia.
Nikolay FadeevFaculty of Рhysics, M.V. Lomonosov Moscow State University, Moscow, 119991, Russia.
Ivan FilippovFaculty of Рhysics, M.V. Lomonosov Moscow State University, Moscow, 119991, Russia.
Natalia MokryshevaLaboratory of Endocrine Biophotonics, Endocrinology Research Center, Moscow, 117292, Russia.
Liliya UrusovaLaboratory of Endocrine Biophotonics, Endocrinology Research Center, Moscow, 117292, Russia.
Daniel RazanskyInstitute for Biomedical Engineering and Institute of Pharmacology and Toxicology, Faculty of Medicine, University of Zurich, Zurich, 8057, Switzerland.
Evgeny ShirshinFaculty of Рhysics, M.V. Lomonosov Moscow State University, Moscow, 119991, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infrared spectroscopy can quantify individual body components such as lipids, water, and proteins, but extending it to a comprehensive assessment of overall body composition is hampered by high variability and optical heterogeneity of biological tissues. Here, a theoretical and experimental strategy merging multi-spectral optoacoustic tomography (MSOT) and diffuse reflectance spectroscopy (DRS) is introduced to characterize skin and subcutaneous tissue composition in the near-infrared range. Water, lipids, and collagen exhibit distinct absorption peaks, with lipids demonstrating significantly higher absorption than collagen at comparable mass concentrations. Diminished lipid absorption in subjects with thin hypodermis allows the DRS method to detect distinct collagen band at 910 nm, whose magnitude correlates with the muscle mass, as confirmed by bioimpedance analysis. Conversely, strong lipid peak at 930 nm in subjects with pronounced hypodermis overshadows collagen signals by an order of magnitude, making DRS characterization insufficient. MSOT overcomes this limitation by offering high-resolution depth-resolved 3D imaging to accurately delineate the dermis, hypodermis, and muscle layers in vivo and quantify each chromophore's contribution individually. The findings demonstrate the complementary capabilities of MSOT and DRS for molecularly specific, noninvasive body composition analysis, potentially enhancing diagnostic approaches for a number of conditions, such as obesity and sarcopenia.

Indexed as

CollagenLipidsMusclesMuscle, SkeletalPhotoacoustic TechniquesSkinTomographyWaterAdultBody CompositionFemaleHumansMaleSpectroscopy, Near-InfraredCollagenLipidsWatercollagendiffuse reflectance spectroscopylipidsmulti‐spectral optoacoustic tomographymuscles

Identifiers

PMID40799083
PMCPMC12591192

What Socratic holds

Textmetadata
LicenceCC BY
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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.