Evidence map›Paper›PMID 35410343›Full record

ArticleJournal of translational medicine2022

A novel rat model for cerebral venous sinus thrombosis: verification of similarity to human disease via clinical analysis and experimental validation.

Shuwen Mu, Yinghong Lin, Yongjun Xu, Xianqing Wei, Zihuan Zeng, Kunzhe Lin, Linghua Zhu, Qinghong Liu, Xingfeng Qi, Liangfeng Wei and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Observational
  3. Article
  4. Article
  5. State of the art in cerebral venous sinus thrombosis animal models.Journal of thrombosis and haemostasis : JTH · 2022
    Review
  6. 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

12 authors at 3 institutions in 1 country.

Shuwen Mu *Department of Neurosurgery, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, 350025, China.
Yinghong Lin *Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, China.
Yongjun Xu *Laboratory of Basic Medicine, 900th Hospital, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, 350025, China.
Xianqing WeiCollege of Materials Science and Engineering, Shenyang University of Technology, Shenyang, 110870, China.
Zihuan ZengDepartment of Neurosurgery, 900th Hospital, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, 350025, Fujian, China.
Kunzhe LinDepartment of Neurosurgery, Affiliated Fuzhou First Hospital of Fujian Medical University, Fuzhou, 350009, China.
Linghua ZhuDepartment of Pathology, 900th Hospital, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, 350025, China.
Qinghong LiuDepartment of Pathology, 900th Hospital, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, 350025, China.
Xingfeng QiDepartment of Pathology, 900th Hospital, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, 350025, China.
Liangfeng WeiDepartment of Neurosurgery, 900th Hospital, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, 350025, Fujian, China.
Shengxiang LiangNational-Local Joint Engineering Research Center of Rehabilitation Medicine Technology, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, Fujian, China. sxliang@fjtcm.edu.cn.
Shousen WangDepartment of Neurosurgery, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, 350025, China. wshsen@126.com.ORCID 0000-0001-5732-7846
Fujian Medical University · CNFujian University of Traditional Chinese Medicine · CNShenyang University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCerebral venous sinus thrombosis (CVST) is a rare neurovascular disorder with highly variable manifestations and clinical courses. Animal models properly matched to the clinical form of CVST are necessary for elucidating the pathophysiology of the disease. In this study, we aimed to establish a rat model that accurately recapitulates the clinical features of CVST in human patients.

methodsThis study consisted of a clinical analysis and animal experiments. Clinical data for two centres obtained between January 2016 and May 2021 were collected and analysed retrospectively. In addition, a Sprague-Dawley rat model of CVST was established by inserting a water-swellable rubber device into the superior sagittal sinus, following which imaging, histological, haematological, and behavioural tests were used to investigate pathophysiological changes. Principal component analysis and hierarchical clustering heatmaps were used to evaluate the similarity between the animal models and human patients.

resultsThe imaging results revealed the possibility of vasogenic oedema in animal models. Haematological analysis indicated an inflammatory and hypercoagulable state. These findings were mostly matched with the retrospective clinical data. Pathological and serological tests further revealed brain parenchymal damage related to CVST in animal models.

conclusionsWe successfully established a stable and reproducible rat model of CVST. The high similarity between clinical patients and animal models was verified via cluster analysis. This model may be useful for the study of CVST pathophysiology and potential therapies.

Indexed as

Sinus Thrombosis, IntracranialAnimalsHumansModels, AnimalRatsRats, Sprague-DawleyRetrospective StudiesSuperior Sagittal SinusAnimal modelCerebral venous sinus thrombosisPathophysiologyVasogenic oedema

Identifiers

PMID35410343
PMCPMC8996223
OpenAlexW4223438022

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Registered trials

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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.