Evidence map›Paper›PMID 37002371›Full record

ArticleMolecular imaging and biology2023

Photoacoustic Microscopic Imaging of Cerebral Vessels for Intensive Monitoring of Metabolic Acidosis.

Bowen Zhu, Honghui Li, Chenyi Xie, Mingyang Sun, Cong Mai, Zhuojun Xie, Zhehao Wu, Jiaqiang Zhang, Liming Nie

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Article in Molecular imaging and biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 22% of its field
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

5 citing papers in PubMed, 12 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Bowen Zhu *Department of Anesthesia and Perioperative Medicine, Henan University People's Hospital, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, China.
Honghui Li *Medical Research Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China.
Chenyi XieMedical Research Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China.
Mingyang SunDepartment of Anesthesia and Perioperative Medicine, Henan University People's Hospital, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, China.
Cong MaiMedical Research Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China.
Zhuojun XieMedical Research Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China.
Zhehao WuMedical Research Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China.
Jiaqiang ZhangDepartment of Anesthesia and Perioperative Medicine, Henan University People's Hospital, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, China. zhangjiq@zzu.edu.cn.
Liming NieMedical Research Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China. limingnie@gmail.com.ORCID 0000-0002-1781-4612
Guangdong Academy of Medical Sciences · CNZhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMetabolic acidosis as one of the most common perioperative complications has been associated with increased risks for poor prognosis. Routine monitoring methods include blood gas analysis and electrocardiogram, which are limited by time delay effects. And the existing intravital imaging modalities are difficult to achieve in one step. Here, we present a dual-wavelength photoacoustic imaging approach to overcome this dilemma. The aim of this study was to develop a rapid approach for intensive monitoring of acid-base imbalance and cerebral oxygen metabolism. PROCEDURES: We characterized the cerebrovascular structure by label-free dual-wavelength (532 and 559 nm) photoacoustic microscopy in healthy and diabetic mouse models with metabolic acidosis. Concurrently, we developed a single-vessel analysis method to accurately delineate the differential responses of small vessels and quantify the cerebral oxygenation following experimental alteration of pH.

resultsWe demonstrated that there was an increasing trend in changes of vascular measurements (density, diameter, and relative hemoglobin concentration) and cerebral microvascular oxygen metabolism with the aggravation of acidosis. Furthermore, we established a clinical nomogram for the diagnosis of disease severity and yielded good discrimination ability with area under the curve of 0.920-0.967 and accuracy of 81.9-93.0%. The nomogram was also validated well in the diabetic mouse model with metabolic acidosis.

conclusionsOur photoacoustic imaging approach has great potential for rapid detection of metabolic acidosis and brain oxygen metabolism, which could potentially be applied as a bedside monitoring method for brain protection and timely treatment of acid-base abnormalities.

Indexed as

AcidosisPhotoacoustic TechniquesAnimalsBrainMiceMicroscopyOxygenOxygenCerebral vesselMetabolic acidosisOxygen metabolismPhotoacoustic microscope

Identifiers

PMID37002371
OpenAlexW4362457846

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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.