Evidence map›Paper›PMID 36700071›Full record

ReviewFrontiers in chemistry2022

Application and trend of bioluminescence imaging in metabolic syndrome research.

Shirui Li, Kang Wang, Zeyu Wang, Wenjie Zhang, Zenglin Liu, Yugang Cheng, Jiankang Zhu, Mingwei Zhong, Sanyuan Hu, Yun Zhang

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. 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

10 authors at 2 institutions in 1 country.

Shirui LiDepartment of General Surgery, Shandong Provincial Qianfoshan Hospital, Shandong University, Jinan, China.
Kang WangDepartment of General Surgery, The First Affiliated Hospital of Shandong First Medical University, Jinan, China.
Zeyu WangDepartment of General Surgery, The First Affiliated Hospital of Shandong First Medical University, Jinan, China.
Wenjie ZhangDepartment of General Surgery, Shandong Provincial Qianfoshan Hospital, Shandong University, Jinan, China.
Zenglin LiuDepartment of General Surgery, Shandong Provincial Qianfoshan Hospital, Shandong University, Jinan, China.
Yugang ChengDepartment of General Surgery, The First Affiliated Hospital of Shandong First Medical University, Jinan, China.
Jiankang ZhuDepartment of General Surgery, The First Affiliated Hospital of Shandong First Medical University, Jinan, China.
Mingwei ZhongDepartment of General Surgery, The First Affiliated Hospital of Shandong First Medical University, Jinan, China.
Sanyuan HuDepartment of General Surgery, Shandong Provincial Qianfoshan Hospital, Shandong University, Jinan, China.
Yun ZhangDepartment of General Surgery, Shandong Provincial Qianfoshan Hospital, Shandong University, Jinan, China.
Shandong First Medical University · CNShandong Provincial QianFoShan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bioluminescence imaging is a non-invasive technology used to visualize physiological processes in animals and is useful for studying the dynamics of metabolic syndrome. Metabolic syndrome is a broad spectrum of diseases which are rapidly increasing in prevalence, and is closely associated with obesity, type 2 diabetes, nonalcoholic fatty liver disease, and circadian rhythm disorder. To better serve metabolic syndrome research, researchers have established a variety of animal models expressing luciferase, while also committing to finding more suitable luciferase promoters and developing more efficient luciferase-luciferin systems. In this review, we systematically summarize the applications of different models for bioluminescence imaging in the study of metabolic syndrome.

Indexed as

adipose inflammationbioluminescence imagingcircadian rhythm disordersmetabolic syndromemodelnon-alcoholic fatty liverobesitytype 2 diabetes

Identifiers

PMID36700071
PMCPMC9868317
OpenAlexW4313826482

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.