Evidence map›Paper›PMID 40041968›Full record

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

Dynamic Pathophysiological Insight into the Brain by NIR-II Imaging.

Si Chen, Hao Chen, Xinxin Li, Shuqing He, Kangquan Shou, Kun Qian, Zhao Fang, Feng Gu, Baisong Chang, Zhen Cheng

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Dynamic Pathophysiological Insight into the Brain by NIR-II Imaging.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  4. 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

10 authors.

Si ChenDepartment of Neurology, Xiangya Hospital, Central South University, Xiangya Road 88, Changsha, 410008, China.
Hao ChenMolecular Imaging Program at Stanford (MIPS), Bio-X Program, Department of Radiology, Canary Center at Stanford for Cancer Early Detection, Stanford University, California, 94305-5344, USA.
Xinxin LiState Key Laboratory of Drug Research, Molecular Imaging Center, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
Shuqing HeMolecular Imaging Program at Stanford (MIPS), Bio-X Program, Department of Radiology, Canary Center at Stanford for Cancer Early Detection, Stanford University, California, 94305-5344, USA.
Kangquan ShouMolecular Imaging Program at Stanford (MIPS), Bio-X Program, Department of Radiology, Canary Center at Stanford for Cancer Early Detection, Stanford University, California, 94305-5344, USA.
Kun QianState Key Laboratory of Drug Research, Molecular Imaging Center, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
Zhao FangState Key Laboratory of Drug Research, Molecular Imaging Center, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
Feng GuDepartment of Neurology & Neurological Sciences, Stanford University School of Medicine, California, 94305-5122, USA.
Baisong ChangState Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, Wuhan, 430070, China.ORCID https://orcid.org/0000-0002-3392-378X
Zhen ChengMolecular Imaging Program at Stanford (MIPS), Bio-X Program, Department of Radiology, Canary Center at Stanford for Cancer Early Detection, Stanford University, California, 94305-5344, USA.

Funding

National Natural Science Foundation of China 52373307National Natural Science Foundation of China U2267221Natural Science Fund for Distinguished Young Scholars of Hubei Province 2024AFA084Strategic Priority Research Program of the Chinese Academy of Sciences XDB0830000
6 · The paper itself

Abstract

Cerebral collateral circulation and blood-brain barrier (BBB) are critically required to maintain the normal brain functions, a fact stressing the need for accurate and in vivo diagnostic tools that can afford valuable pathophysiological insight into the functioning of neurovascular unit in space and time. Currently, understanding of collateral perfusion and BBB evolution under both physiological and pathological conditions remains sparse, largely owing to limitations in methods for recording diminutive route of cerebral blood flow. Here, it is reported that highly crystalline semiconducting organic nanoprobes (named 4T-BSA) composed of small-molecule dye and bovine serum albumin showed vast potential for live-brain vascular imaging in the second near-infrared window (NIR-II, 1000-1700 nm). The 4T-BSA nanoprobes had superior imaging penetration depth in intact mouse brain with high signal-to-background ratio (SBR) of 6.0 and down to sub-50-µm spatial resolution of cerebral vasculature in three typical models of neurological pathophysiology. By visualizing the vascular collateral perfusion and albumin leakage, 4T-BSA nanoprobes identified the pathological activities of brain associated with the arterial/venous collateral flow network and BBB disruption. It is anticipated that NIR-II imaging of cerebral collateral circulation and BBB disruption will bring broad opportunities to address major medical challenges across timely, protective, and restorative interventions for neurological diseases.

Indexed as

Blood-Brain BarrierBrainCerebrovascular CirculationAnimalsMiceSerum Albumin, BovineSpectroscopy, Near-InfraredSerum Albumin, BovineBBB disruptioncerebral collateral circulationcrystalline organic nanoprobelive‐brain imagingNIR‐II fluorescence

Identifiers

PMID40041968
PMCPMC12021043

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.