Evidence map›Paper›PMID 38459255›Full record

ArticleActa pharmacologica Sinica2024

A novel mouse model of familial combined hyperlipidemia and atherosclerosis.

Mei-Jie Chen, Yi-Tong Xu, Lu Sun, Zhi-Hua Wang, Peter J Little, Li Wang, Xun-de Xian, Jian-Ping Weng, Suo-Wen Xu

Open access · greenAbstract read
In one paragraph

Article in Acta pharmacologica Sinica, 2024. 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
2.3field-weighted citation impact, top 13% 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, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

9 authors at 4 institutions in 3 countries.

Mei-Jie Chen *Department of Endocrinology, Institute of Endocrine and Metabolic Disease, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, Clinical Research Hospital of Chinese Academy of Sciences (Hefei), University of Science and Technology of China, Hefei, 230022, China.
Yi-Tong Xu *Institute of Cardiovascular Sciences, State Key Laboratory of Vascular Homeostasis and Remodeling, School of Basic Medical Sciences, Peking University, Beijing, 100091, China.
Lu SunDepartment of Endocrinology, Institute of Endocrine and Metabolic Disease, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, Clinical Research Hospital of Chinese Academy of Sciences (Hefei), University of Science and Technology of China, Hefei, 230022, China.
Zhi-Hua WangDepartment of Endocrinology, Institute of Endocrine and Metabolic Disease, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, Clinical Research Hospital of Chinese Academy of Sciences (Hefei), University of Science and Technology of China, Hefei, 230022, China.
Peter J LittleSchool of Pharmacy, Pharmacy Australia Centre of Excellence, The University of Queensland, Woolloongabba, QLD, 4102, Australia.
Li WangDepartment of Biomedical Sciences, City University of Hong Kong, Hong Kong, China.
Xun-de XianInstitute of Cardiovascular Sciences, State Key Laboratory of Vascular Homeostasis and Remodeling, School of Basic Medical Sciences, Peking University, Beijing, 100091, China. xianxunde@bjmu.edu.cn.
Jian-Ping WengDepartment of Endocrinology, Institute of Endocrine and Metabolic Disease, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, Clinical Research Hospital of Chinese Academy of Sciences (Hefei), University of Science and Technology of China, Hefei, 230022, China. wengjp@ustc.edu.cn.
Suo-Wen XuDepartment of Endocrinology, Institute of Endocrine and Metabolic Disease, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, Clinical Research Hospital of Chinese Academy of Sciences (Hefei), University of Science and Technology of China, Hefei, 230022, China. sxu1984@ustc.edu.cn.
University of Science and Technology of China · CNPeking University · CNCity University of Hong Kong · HKThe University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Within the context of residual cardiovascular risk in post-statin era, emerging evidence from epidemiologic and human genetic studies have demonstrated that triglyceride (TG)-rich lipoproteins and their remnants are causally related to cardiovascular risk. While, carriers of loss-of-function mutations of ApoC3 have low TG levels and are protected from cardiovascular disease (CVD). Of translational significance, siRNAs/antisense oligonucleotide (ASO) targeting ApoC3 is beneficial for patients with atherosclerotic CVD. Therefore, animal models of atherosclerosis with both hypercholesterolemia and hypertriglyceridemia are important for the discovery of novel therapeutic strategies targeting TG-lowering on top of traditional cholesterol-lowering. In this study, we constructed a novel mouse model of familial combined hyperlipidemia through inserting a human ApoC3 transgene (hApoC3-Tg) into C57BL/6 J mice and injecting a gain-of-function variant of adeno-associated virus-proprotein convertase subtilisin/kexin type 9 (AAV-PCSK9)-D377Y concurrently with high cholesterol diet (HCD) feeding for 16 weeks. In the last 10 weeks, hApoC3-Tg mice were orally treated with a combination of atorvastatin (10 mg·kg

Indexed as

AtherosclerosisDisease Models, AnimalHyperlipidemia, Familial CombinedMice, Inbred C57BLMice, TransgenicAnimalsApolipoprotein C-IIIAtorvastatinDiet, High-FatHumansHypolipidemic AgentsMaleMiceProprotein Convertase 9TriglyceridesAPOC3 protein, humanApolipoprotein C-IIIAtorvastatinHypolipidemic AgentsProprotein Convertase 9TriglyceridesApoC3atherosclerosisfamilial combined hyperlipidemialipid-loweringmouse model

Identifiers

PMID38459255
PMCPMC11130143
OpenAlexW4392597257

What OpenQuestion holds

Texttitle and abstract
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.