Evidence map›Paper›PMID 35237999›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Tissue Clearing Approaches in Atherosclerosis.

Ting Sun, Yuanfang Li, Benjamin Förstera, Karen Stanic, Shu Lu, Sabine Steffens, Changjun Yin, Ali Ertürk, Remco T A Megens, Christian Weber and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. 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
5.2field-weighted citation impact, top 4% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Promising Adventitia in Atherosclerosis.Current vascular pharmacology · 2025
    Review
  2. Cardiovascular Brain Circuits.Circulation research · 2023
    Review
  3. Neuroimmune cardiovascular interfaces in atherosclerosis.Frontiers in cell and developmental biology · 2023
    Review
  4. Article
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

12 authors at 3 institutions in 2 countries.

Ting Sun *Institute for Cardiovascular Prevention (IPEK), Klinikum der Universität München, Ludwig-Maximilians-University (LMU), Munich, Germany.
Yuanfang Li *Institute for Cardiovascular Prevention (IPEK), Klinikum der Universität München, Ludwig-Maximilians-University (LMU), Munich, Germany.
Benjamin FörsteraInstitute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-University (LMU), Munich, Germany.
Karen StanicInstitute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-University (LMU), Munich, Germany.
Shu LuInstitute for Cardiovascular Prevention (IPEK), Klinikum der Universität München, Ludwig-Maximilians-University (LMU), Munich, Germany.
Sabine SteffensInstitute for Cardiovascular Prevention (IPEK), Klinikum der Universität München, Ludwig-Maximilians-University (LMU), Munich, Germany.
Changjun YinInstitute for Cardiovascular Prevention (IPEK), Klinikum der Universität München, Ludwig-Maximilians-University (LMU), Munich, Germany.
Ali ErtürkInstitute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-University (LMU), Munich, Germany.
Remco T A MegensInstitute for Cardiovascular Prevention (IPEK), Klinikum der Universität München, Ludwig-Maximilians-University (LMU), Munich, Germany.
Christian WeberInstitute for Cardiovascular Prevention (IPEK), Klinikum der Universität München, Ludwig-Maximilians-University (LMU), Munich, Germany.
Andreas Habenicht *Institute for Cardiovascular Prevention (IPEK), Klinikum der Universität München, Ludwig-Maximilians-University (LMU), Munich, Germany.
Sarajo K Mohanta *Institute for Cardiovascular Prevention (IPEK), Klinikum der Universität München, Ludwig-Maximilians-University (LMU), Munich, Germany. Sarajo.Mohanta@med.uni-muenchen.de.
Ludwig-Maximilians-Universität München · DEGerman Centre for Cardiovascular Research · DEHelmholtz Zentrum München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advances in cardiovascular research have led to a more comprehensive understanding of molecular mechanisms of atherosclerosis. It has become apparent that the disease involves three layers of the arterial wall: the intima, the media, and a connective tissue coat termed the adventitia. It is also now appreciated that arteries are surrounded by adipose and neuronal tissues. In addition, adjacent to and within the adventitia, arteries are embedded in a loose connective tissue containing blood vessels (vasa vasora) and lymph vessels, artery-draining lymph nodes and components of the peripheral nervous system, including periarterial nerves and ganglia. During atherogenesis, each of these tissues undergoes marked structural and cellular alterations. We propose that a better understanding of these cell-cell and cell-tissue interactions may considerably advance our understanding of cardiovascular disease pathogenesis. Methods to acquire subcellular optical access to the intact tissues surrounding healthy and diseased arteries are urgently needed to achieve these aims. Tissue clearing is a landmark next-generation, three-dimensional (3D) microscopy technique that allows to image large-scale hitherto inaccessible intact deep tissue compartments. It allows for detailed reconstructions of arteries by a combination of labelling, clearing, advanced microscopies and other imaging and data-analysis tools. Here, we describe two distinct tissue clearing protocols; solvent-based modified three-dimensional imaging of solvent-cleared organs (3DISCO) clearing and another using aqueous-based 2,2'-thiodiethanol (TDE) clearing, both of which complement each other.

Indexed as

AtherosclerosisImaging, Three-DimensionalArteriesHumansMicroscopyAtherosclerosisConfocal microscopyDISCO clearingFluorescence imagingImage processingLight-sheet microscopy; multiphoton microscopyTDE clearing

Identifiers

PMID35237999
OpenAlexW4214884491

What OpenQuestion 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 OpenQuestion graph.