Evidence map›Paper›PMID 40025073›Full record

ArticleScientific reports2025

A familial study of a de novo FGG gene mutation causing congenital hypofibrinogenaemia and intervention during pregnancy and childbirth.

Zehui Xie, Hongrui Li, Yarong Guo, Bin Mao, Jing Wang, Min Gao, Xiaoling Ma

Abstract readCase Reports
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

1 citing paper in PubMed.

  1. 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

7 authors.

Zehui XieThe First School of Clinical Medicine of Lanzhou University, Lanzhou, 730000, Gansu, China.
Hongrui LiReproductive Medicine Center, The First Hospital of Lanzhou University, Lanzhou, 730000, Gansu, China.
Yarong GuoThe First School of Clinical Medicine of Lanzhou University, Lanzhou, 730000, Gansu, China.
Bin MaoReproductive Medicine Center, The First Hospital of Lanzhou University, Lanzhou, 730000, Gansu, China.
Jing WangThe First School of Clinical Medicine of Lanzhou University, Lanzhou, 730000, Gansu, China.
Min GaoThe First School of Clinical Medicine of Lanzhou University, Lanzhou, 730000, Gansu, China.
Xiaoling MaThe First School of Clinical Medicine of Lanzhou University, Lanzhou, 730000, Gansu, China. maxl2005@163.com.

Funding

Fund by Gansu Provincial Science and Technology 21JR7RA391
6 · The paper itself

Abstract

To investigate the family line of a pregnant woman with congenital hypofibrinogenaemia due to a de novo mutation in the fibrinogen gamma (FGG) gene and experimentally explore its molecular pathological mechanisms. Peripheral blood specimens were collected from the proband and her family members for coagulation tests to assess their coagulation function. Whole exome sequencing was used to determine the gene mutation in the family lineage. SDS-PAGE was utilized to analyze the plasma of the proband and her mother for their congenital hypofibrinogenaemia. Structural distribution was analyzed by scanning electron microscopy. Molecular modeling was performed to predict the effect of mutation sites on fibrinogen structure and function. A de novo heterozygous mutation in the FGG gene was identified: c.702G > T, with a markedly prolonged thrombin time. The thromboelastography results showed that her fibrinogen function was essentially normal. LC-MS/MS showed no plasma or mutant chains in the plasma. Molecular modeling showed that this de novo mutation altered the structure of fibrinogen in the patient and her fibrinogen was heterogeneous in diameter and sparsely networked under electron microscopy. An intermittent infusion of 6 g of fibrinogen in the prenatal period of the proband brought the fibrinogen level of the patient to 2.13 g/L. No significant haemorrhage was detected between and after the caesarean section. The FGG gene NM_021870.3: c.702G > T (p.Trp234Cys) mutation is a de novo mutation, which is heterozygous in both the proband and her mother. It's the biogenetic basis for the pathogenicity of this congenital hypofibrinogenaemia family line.

Indexed as

AfibrinogenemiaFibrinogenMutationAdultExome SequencingFemaleHeterozygoteHumansModels, MolecularParturitionPedigreePregnancyFGG protein, humanFibrinogenCongenital hypofibrinogenemiaFGG geneFibrinogenMaternal interventions

Identifiers

PMID40025073
PMCPMC11873052

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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.