Evidence mapPaperPMID 42384794Full record

ReviewScience advances2026

Illuminating aging with multimodal optical metabolic imaging.

Yajuan Li, Erick Alvarado, Zhi Li, Rohan Shrestha, Jorge Villazon, Lingyan Shi

Abstract readReview
In one paragraph

Review in Science advances, 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

6 authors.

Yajuan LiShu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA.ORCID 0000-0001-8687-0346
Erick AlvaradoShu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA.
Zhi LiShu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA.ORCID 0009-0008-0675-5494
Rohan ShresthaShu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA.ORCID 0009-0009-0857-8804
Jorge VillazonShu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA.ORCID 0009-0006-8296-5894
Lingyan ShiShu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA.ORCID 0000-0003-1373-3206

Funding

Sugar Probed SRS Volumetric imaging of Metabolic ActivitiesR01GM149976 · UNIVERSITY OF CALIFORNIA, SAN DIEGO · 2025 to 2025
$394k
NIA NIH HHS R01 AG086548NIGMS NIH HHS R01 GM149976
6 · The paper itself

Abstract

Aging is intimately entangled with the reprogramming of metabolic pathways that coordinate energy production, biosynthesis, and molecular turnover. However, visualizing and understanding these metabolic underpinnings within their spatial and temporal contexts remains a major challenge. Metabolic imaging has emerged as a transformative approach that enables spatially resolved visualization of metabolic dynamics both at the molecular or cellular and organismal levels. In this review, we summarize recent advances and applications of metabolic imaging in probing aging biology, with particular emphasis on multimodal nonlinear optical imaging techniques and their applications across diverse aging models. Optical metabolic imaging provides unique insights into the mechanisms of aging by capturing metabolic alterations that span from organelle-level interactions to tissue-scale remodeling. Optical metabolic imaging enables the label-free detection of early metabolic shifts in vivo, representing an emerging frontier in aging research. Looking ahead, optical metabolic imaging holds great promise as a practical and powerful tool for clinical translation, advancing precision medicine and enhancing the diagnosis, monitoring, and evaluation of aging processes to promote human health span and longevity.

Indexed as

AgingMultimodal ImagingOptical ImagingAnimalsHumans

Identifiers

PMID42384794
PMCPMC13322256

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.