Evidence mapPaperPMID 40957282Full record

ArticleBiosensors & bioelectronics2025

Single-cell Raman imaging reveals fructose impairs brown adipocyte differentiation.

Anoushka Gupta, Pooja Anantha, Hidenori Koresawa, Heqi Xi, Yu-Hua Beckham Yang, Michael Ka Ho Lee, Katsumasa Fujita, Sui-Seng Tee, Ishan Barman

Abstract read
In one paragraph

Article in Biosensors & bioelectronics, 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. 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

9 authors.

Anoushka GuptaDepartment of Mechanical Engineering, Johns Hopkins University, 3400 N Charles St, Baltimore, MD, 21218, USA.
Pooja AnanthaDepartment of Mechanical Engineering, Johns Hopkins University, 3400 N Charles St, Baltimore, MD, 21218, USA.
Hidenori KoresawaDepartment of Applied Physics, Osaka University, Suita, Osaka, 565-0871, Japan.
Heqi XiDepartment of Applied Physics, Osaka University, Suita, Osaka, 565-0871, Japan.
Yu-Hua Beckham YangDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, 3400 N Charles St, Baltimore, MD, 21218, USA.
Michael Ka Ho LeeDepartment of Mechanical Engineering, Johns Hopkins University, 3400 N Charles St, Baltimore, MD, 21218, USA.
Katsumasa FujitaDepartment of Applied Physics, Osaka University, Suita, Osaka, 565-0871, Japan; Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Osaka, 565-0871, Japan.
Sui-Seng TeeDepartment of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.
Ishan BarmanDepartment of Mechanical Engineering, Johns Hopkins University, 3400 N Charles St, Baltimore, MD, 21218, USA; The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University, School of Medicine, Baltimore, MD, 21205, USA; Department of Oncology, Johns Hopkins University, Baltimore, MD, 21287, USA. Electronic address: ibarman@jhu.edu.

Funding

Next-generation optical nanoprobes: From quantum biosensing to cellular monitoringR35GM149272 · JOHNS HOPKINS UNIVERSITY · 2025 to 2025
$409k
NIGMS NIH HHS R35 GM149272
6 · The paper itself

Abstract

Brown adipose tissue (BAT) plays a pivotal role in energy expenditure and metabolic health, yet the influence of specific sugars like fructose on brown adipocyte development remains poorly understood. Here, we employ high-speed line-illumination Raman imaging, combined with machine learning, to investigate how varying sugar environments - fructose, glucose, or both - impact the differentiation of human brown preadipocytes (HBPs). This label-free, non-destructive method provides spatially-resolved insight into lipid content, composition, and subcellular distribution during adipogenesis. Quantitative ratiometric analysis of Raman spectra reveals that fructose exposure leads to higher lipid unsaturation and esterification, indicative of impaired differentiation. Trajectory inference and unsupervised clustering further identify distinct subpopulations of adipocytes, demonstrating that fructose-treated cells exhibit phenotypes associated with early differentiation stages. Together, our findings reveal a negative regulatory role of fructose in brown adipocyte maturation and highlight Raman imaging as a powerful tool for dissecting metabolic cell states under variable nutrient conditions.

Indexed as

Adipocytes, BrownAdipogenesisFructoseSingle-Cell AnalysisSpectrum Analysis, RamanAdipose Tissue, BrownCell DifferentiationGlucoseHumansFructoseGlucosebrown adipocytesChemical imagingFructose metabolismLipid unsaturationRaman spectroscopy

Identifiers

PMID40957282
PMCPMC13152196

What Socratic holds

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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.