Evidence map›Paper›PMID 42819363›Full record

ReviewChemical & biomedical imaging2026

Molecular Imaging of In Vivo Zinc Distribution Using Nuclear and Magnetic Resonance Imaging.

Changhua Mu, Xiaoxi Liu, Umama Ali, Peder E Z Larson, Sunita P Ho, Robert R Flavell

Abstract readReview
In one paragraph

Review in Chemical & biomedical imaging, 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.

Changhua MuDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California 94107, United States.ORCID https://orcid.org/0000-0002-5007-0133
Xiaoxi LiuDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California 94107, United States.
Umama AliDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California 94107, United States.
Peder E Z LarsonDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California 94107, United States.
Sunita P HoDivision of Preclinical Simulation and Bioengineering, University of California, San Francisco, San Francisco, California 94143, United States.ORCID https://orcid.org/0000-0001-9999-8226
Robert R FlavellDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California 94107, United States.ORCID https://orcid.org/0000-0002-8694-1199

Funding

Translational InformaticsP30CA082103 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Alan Ashworth · 1999 to 2026
$209.7M
Clinical and Translational Science InstituteUL1TR001872 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI COLLARD, HAROLD R, JACOBY, VANESSA · 2016 to 2025
$112.1M
NCATS NIH HHS UL1 TR001872NCI NIH HHS P30 CA082103
6 · The paper itself

Abstract

Zinc, a ubiquitous trace element, is essential to numerous biological processes, including enzymatic catalysis, gene expression, and cellular signaling. Precise zinc homeostasis, maintained by a complex interplay of transporters, storage proteins, and regulatory mechanisms, is critical for cellular function and organismal health. Disrupted zinc homeostasis has been implicated in the pathophysiology of diabetes, neurodegenerative disorders, and cancers, through alterations in zinc-dependent signaling pathways, oxidative stress responses, and apoptosis mechanisms. Thus, zinc biodistribution is a potential biomarker enabling improved detection of zinc-related pathologies, assessment of disease prognosis, and development of more targeted prevention strategies. While fluorescence techniques have advanced our understanding of cellular zinc, their application in human studies remains restricted. This highlights the need for zinc-specific biosensors that can be integrated with clinical imaging technologies, such as Positron Emission Tomography (PET), Single Photon Emission Computed Tomography (SPECT), and Magnetic Resonance Imaging (MRI), to enable in vivo visualization of zinc distribution and dynamics. This review describes the mechanistic understanding of zinc-associated diseases, details the design principles of molecular zinc biosensors (including radiopharmaceuticals and MRI contrast agents), and identifies the challenges and future directions for developing more specific and sensitive probes. For nuclear imaging (PET and SPECT), this includes probes utilizing radioactive zinc ions

Indexed as

altered zinc homeostasischemical exchange saturation transfermagnetic resonance imaging (MRI)nuclear hyperpolarizationnuclear imagingnuclear zinc biosensorsradioactive zincrelaxivityzinc-associated diseaseszinc-responsive MRI imaging contrasts

Identifiers

PMID42819363
PMCPMC13625705

What Socratic holds

Textmetadata
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.