Evidence map›Paper›PMID 41438712›Full record

ReviewMaterials today. Bio2025

Material-based neuroimaging and biomarker detection for central nervous system disorder.

Liqun Yu, Yanjing Zhu, Xinxin Zheng, Ruiqi Huang, Simin Song, Yuchen Liu, Zhibo Liu, Bairu Chen, Rongrong Zhu

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Materials today. Bio, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Applications of Nanobiotechnology in Medicine.Life (Basel, Switzerland) · 2026
    Review
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.

Liqun YuKey Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Tongji Hospital Affiliated to Tongji University, School of Medicine, School of Life Science and Technology, Tongji University, Shanghai, 200065, China.
Yanjing ZhuKey Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Tongji Hospital Affiliated to Tongji University, School of Medicine, School of Life Science and Technology, Tongji University, Shanghai, 200065, China.
Xinxin ZhengKey Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Tongji Hospital Affiliated to Tongji University, School of Medicine, School of Life Science and Technology, Tongji University, Shanghai, 200065, China.
Ruiqi HuangKey Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Tongji Hospital Affiliated to Tongji University, School of Medicine, School of Life Science and Technology, Tongji University, Shanghai, 200065, China.
Simin SongKey Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Tongji Hospital Affiliated to Tongji University, School of Medicine, School of Life Science and Technology, Tongji University, Shanghai, 200065, China.
Yuchen LiuKey Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Tongji Hospital Affiliated to Tongji University, School of Medicine, School of Life Science and Technology, Tongji University, Shanghai, 200065, China.
Zhibo LiuKey Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Tongji Hospital Affiliated to Tongji University, School of Medicine, School of Life Science and Technology, Tongji University, Shanghai, 200065, China.
Bairu ChenKey Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Tongji Hospital Affiliated to Tongji University, School of Medicine, School of Life Science and Technology, Tongji University, Shanghai, 200065, China.
Rongrong ZhuKey Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Tongji Hospital Affiliated to Tongji University, School of Medicine, School of Life Science and Technology, Tongji University, Shanghai, 200065, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Central nervous system (CNS) disorders, including neurodegenerative diseases, brain tumors, and cerebrovascular conditions, remain difficult to detect at early stages due to nonspecific clinical manifestations, limited sensitivity of conventional diagnostic methods, and the restrictive nature of the blood-brain barrier (BBB). Recent advances in nanomaterials offer transformative potential for neuroimaging and biomarker detection, enabling high resolution, targeted, and multimodal diagnostics. This review summarizes progress in material-based magnetic resonance imaging, positron emission tomography, and emerging modalities such as photoacoustic, near-infrared, and surface-enhanced Raman scattering imaging, as well as nanoparticle-enabled biosensors for detecting Aβ, tau, α-synuclein, neurofilament light chain, and microRNAs in cerebrospinal fluid, blood, and other biofluids. The integration of multimodal imaging platforms with artificial intelligence and high-throughput optimization offers improved BBB penetration, targeting precision, and patient-specific diagnostic strategies. Future translation will depend on rigorous safety profiling, standardized performance metrics, and validation in large multicenter trials. Collectively, these material-enabled platforms are poised to advance precision diagnostics and therapeutic monitoring, offering new possibilities for improving clinical outcomes in CNS disorders.

Indexed as

Biomarker detectionCentral nervous system disordersMultimodal theranosticsNanomaterialsNeuroimaging

Identifiers

PMID41438712
PMCPMC12721319

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.