Evidence map›Paper›PMID 37853441›Full record

ArticleLipids in health and disease2023

Screening and verifying the mutations in the LDLR and APOB genes in a Chinese family with familial hypercholesterolemia.

Xian Lv, Chunyue Wang, Lu Liu, Guoqing Yin, Wen Zhang, Fuad A Abdu, Tingting Shi, Qingfeng Zhang, Wenliang Che

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2023. 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
5.1field-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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

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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 3 institutions in 1 country.

Xian LvDepartment of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072, China.
Chunyue WangDepartment of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072, China.
Lu LiuDepartment of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072, China.
Guoqing YinDepartment of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072, China.
Wen ZhangDepartment of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072, China.
Fuad A AbduDepartment of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072, China.
Tingting ShiDepartment of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072, China.
Qingfeng ZhangKey Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Tongji Hospital, Clinical Center for Brain and Spinal Cord Research, School of Medicine, Tongji University, 1239 Siping Road, Shanghai, 200092, China. qfzhang@tongji.edu.cn.
Wenliang CheDepartment of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072, China. chewenliang@tongji.edu.cn.
Tongji University · CNShanghai Tenth People's Hospital · CNTongji Hospital · CN

Funding

Chinese National Natural Science Foundation 82170521Clinical Research Plan of SHDC SHDC2020CR4065Foundation of Chongming CKY2021-21, CKY2020-29Foundation of Shanghai Municipal Health Commission 202140263Fundamental Research Funds for Central Universities NO.22120190211Shanghai Natural Science Foundation of China 21ZR1449500
6 · The paper itself

Abstract

backgroundFamilial hypercholesterolemia (FH) is an autosomal dominant genetic disorder. The primary objective of this study was to identify the major pathogenic mutations in a Chinese family with FH.

methodsWhole-genome sequencing (WGS) was used to identify variants of FH-related genes, including low-density lipoprotein receptor (LDLR), apolipoprotein B (APOB), and proprotein convertase subtilisin/kexin 9 (PCSK9). Bioinformatics software was used to predict signal peptides, transmembrane structures, and spatial construction information of the mutated sequences. Western blotting was performed on the mutant protein to determine the presence of the major structural domains of the LDLR. The PCSK9 and APOB genes were screened and analyzed. Moreover, the proband and his brother were treated with a PCSK9 inhibitor for 1 year, and the effect of the treatment on lipid levels was assessed.

resultsWGS revealed two potentially pathogenic mutations in the LDLR gene. One was a novel mutation, c.497delinsGGATCCCCCAGCTGCATCCCCCAG (p. Ala166fs), and the other was a known pathogenic mutation, c.2054C>T (p. Pro685Leu). Bioinformatics prediction and in vitro experiments revealed that the novel mutation could not be expressed on the cell membrane. Numerous gene variants were identified in the APOB gene that may have a significant impact on the family members with FH. Thus, it is suggested that the severe manifestation of FH in the proband primarily resulted from the cumulative genetic effects of variants in both LDLR and APOB. However, a subsequent study indicated that treatment with a PCSK9 inhibitor (Evolocumab) did not significantly reduce the blood lipid levels in the proband or his brother.

conclusionsThe cumulative effect of LDLR and APOB variants was the primary cause of elevated blood lipid levels in this family. However, PCSK9 inhibitor therapy did not appear to be beneficial for the proband. This study emphasizes the importance of genetic testing in determining the most suitable treatment options for patients with FH.

Indexed as

Apolipoproteins BHyperlipoproteinemia Type IIProprotein Convertase 9Receptors, LDLEast Asian PeopleGenetic TestingHumansLipidsMaleMutationApolipoproteins BLipidsPCSK9 protein, humanProprotein Convertase 9Receptors, LDLAPOBFamilial hypercholesterolemiaLDLRPathogenic mutationPCSK9 inhibitor

Identifiers

PMID37853441
PMCPMC10585857
OpenAlexW4387737531

What OpenQuestion holds

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LicenceCC BY
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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.