Evidence map›Paper›PMID 31849207›Full record

ArticleJournal of biomedical optics2019

Metabolic imaging and secondary ion mass spectrometry to define the structure and function of liver with acute and chronic pathology.

Daria Kuznetsova, Svetlana Rodimova, Alexander Gulin, Dmitry Reunov, Nikolai Bobrov, Anastasia Polozova, Alexander Vasin, Vladislav Shcheslavskiy, Natalia Vdovina, Vladimir Zagainov and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of biomedical optics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 11 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

11 authors at 4 institutions in 2 countries.

Daria KuznetsovaPrivolzhsky Research Medical University, Institute of Experimental Oncology and Biomedical Technolog, Russia.
Svetlana RodimovaPrivolzhsky Research Medical University, Institute of Experimental Oncology and Biomedical Technolog, Russia.
Alexander GulinRussian Academy of Sciences, N.N. Semenov Federal Research Center for Chemical Physics, Moscow, Russia.
Dmitry ReunovPrivolzhsky Research Medical University, Institute of Experimental Oncology and Biomedical Technolog, Russia.
Nikolai BobrovPrivolzhsky Research Medical University, Institute of Experimental Oncology and Biomedical Technolog, Russia.
Anastasia PolozovaPrivolzhsky Research Medical University, Institute of Experimental Oncology and Biomedical Technolog, Russia.
Alexander VasinRussian Academy of Sciences, N.N. Semenov Federal Research Center for Chemical Physics, Moscow, Russia.
Vladislav ShcheslavskiyPrivolzhsky Research Medical University, Institute of Experimental Oncology and Biomedical Technolog, Russia.
Natalia VdovinaPrivolzhsky Research Medical University, Institute of Experimental Oncology and Biomedical Technolog, Russia.
Vladimir ZagainovPrivolzhsky Research Medical University, Institute of Experimental Oncology and Biomedical Technolog, Russia.
Elena ZagaynovaPrivolzhsky Research Medical University, Institute of Experimental Oncology and Biomedical Technolog, Russia.
Privolzhsky Research Medical University · RULomonosov Moscow State University · RUResearch Institute VOLGA (Russia) · RUSemenov Institute of Chemical Physics · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conventional techniques are insufficient precisely to describe the internal structure, the heterogeneous cell populations, and the dynamics of biological processes occurring in diseased liver during surgery. There is a need for a rapid and safe method for the successful diagnosis of liver disease in order to plan surgery and to help avoid postoperative liver failure. We analyze the progression of both acute (cholestasis) and chronic (fibrosis) liver pathology using multiphoton microscopy with fluorescence lifetime imaging and second-harmonic generation modes combined with time-of-flight secondary ion mass spectrometry chemical analysis to obtain new data about pathological changes to hepatocytes at the cellular and molecular levels. All of these techniques allow the study of cellular metabolism, lipid composition, and collagen structure without staining the biological materials or the incorporation of fluorescent or other markers, enabling the use of these methods in a clinical situation. The combination of multiphoton microscopy and mass spectrometry provides more complete information about the liver structure and function than could be assessed using either method individually. The data can be used both to obtain new criteria for the identification of hepatic pathology and to develop a rapid technique for liver quality analysis in order to plan surgery and to help avoid postoperative liver failure in clinic.

Indexed as

Acute DiseaseAnimalsCholestasisChronic DiseaseDisease Models, AnimalDisease ProgressionHepatocytesHumansLiverLiver CirrhosisLiver DiseasesMaleMicroscopy, Fluorescence, MultiphotonOptical ImagingOptical PhenomenaRatsfluorescence lifetime imaginglivermetabolic imagingmultiphoton microscopytime-of-flight secondary ion mass spectrometry

Identifiers

PMID31849207
PMCPMC7008498
OpenAlexW2996106974

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.