Evidence map›Paper›PMID 38322522›Full record

ArticleSichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition2024

[Hot Topics and Emerging Trends in Mechanobiology Research].

Chuanrong Zhao, Xiangxiu Wang, Guixue Wang

Abstract readEnglish Abstract
In one paragraph

Article in Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition, 2024. 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. 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

3 authors.

Chuanrong Zhao,, ( 400045) College of Bioengineering, Chongqing University, Key Laboratory of Biorheology Science and Technology (Chongqing University), Ministry of Education, and State and Local Joint Engineering Laboratory for Vascular Implants, Chongqing 400045, China.
Xiangxiu Wang,, ( 400045) College of Bioengineering, Chongqing University, Key Laboratory of Biorheology Science and Technology (Chongqing University), Ministry of Education, and State and Local Joint Engineering Laboratory for Vascular Implants, Chongqing 400045, China.
Guixue Wang,, ( 400045) College of Bioengineering, Chongqing University, Key Laboratory of Biorheology Science and Technology (Chongqing University), Ministry of Education, and State and Local Joint Engineering Laboratory for Vascular Implants, Chongqing 400045, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mechanobiology focuses on a series of important physiopathological processes, such as how cells perceive different mechanomechanical stimuli, the process of intracellular mechanotransduction, and how mechanical signals determine the behavior and fate of cells. From the initial stage of embryogenesis, to developmental biology and regenerative medicine, or even through the whole life process, mechanical signaling cascades and cellular mechanical responses in mechanobiology are of great significance in biomedical research. In recent years, research in the field of mechanobiology has undergone remarkable development. Several scientific consortia around the world have been analyzing mechanobiological processes from different perspectives, aiming to gain insights into the regulatory mechanisms by which mechanical factors affect cell fate determination. In this article, we summarized and reviewed the topics that have attracted more research interests in recent years in the field of mechanobiology, for example, arterial blood vessels, stem cell, and ion channel. We also discussed the potential trends that may emerge, such as nuclear deformation, fibrous extracellular matrix, tumor mechanobiology, cellular mechanotransduction, and piezo ion channels. In addition, we put forward new ideas concerning the limitations of mechanism research and the importance of big data analysis and mining in this field, thereby providing objective support and a systematic framework for grasping the hot research topics and exploring new research directions in the field of mechanobiology.

Indexed as

Mechanotransduction, CellularSignal TransductionBiophysicsExtracellular MatrixIon ChannelsIon ChannelsArteryIon channelMechanobiologyMechanotransductionReviewYAP-signaling proteins

Identifiers

PMID38322522
PMCPMC10839494

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.