Evidence map›Paper›PMID 37833669›Full record

ReviewBMC medical genomics2023

Phenylalanyl-tRNA synthetase deficiency caused by biallelic variants in FARSA gene and literature review.

Ruolan Guo, Yuanying Chen, Xuyun Hu, Zhan Qi, Jun Guo, Yuchuan Li, Chanjuan Hao

Open access · goldAbstract readReview
In one paragraph

Review in BMC medical genomics, 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
0.6field-weighted citation impact, top 29% 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, 4 citations in OpenAlex.

  1. NFYB Integrates Hormonal Signals into Tissue Allometry by Promoting Protein Biosynthesis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Review
  3. Article
  4. Review
  5. Article
  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

7 authors at 2 institutions in 1 country.

Ruolan Guo *Beijing Key Laboratory for Genetics of Birth Defects, MOE Key Laboratory of Major Diseases in Children, National Center for Children's Health, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, Beijing, 100045, China.
Yuanying Chen *Beijing Key Laboratory for Genetics of Birth Defects, MOE Key Laboratory of Major Diseases in Children, National Center for Children's Health, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, Beijing, 100045, China.
Xuyun HuBeijing Key Laboratory for Genetics of Birth Defects, MOE Key Laboratory of Major Diseases in Children, National Center for Children's Health, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, Beijing, 100045, China.
Zhan QiBeijing Key Laboratory for Genetics of Birth Defects, MOE Key Laboratory of Major Diseases in Children, National Center for Children's Health, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, Beijing, 100045, China.
Jun GuoBeijing Key Laboratory for Genetics of Birth Defects, MOE Key Laboratory of Major Diseases in Children, National Center for Children's Health, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, Beijing, 100045, China.
Yuchuan LiOutpatient Department, National Center for Children's Health, Beijing Children's Hospital, Capital Medical University, Beijing, 100045, China. drliyuchuan@163.com.
Chanjuan HaoBeijing Key Laboratory for Genetics of Birth Defects, MOE Key Laboratory of Major Diseases in Children, National Center for Children's Health, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, Beijing, 100045, China. hchjhchj@163.com.
Capital Medical University · CNBeijing Children’s Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAminoacyl-tRNA synthetases (ARSs) are indispensable enzymes for protein biosynthesis in cells. The phenylalanyl-tRNA synthetase (FARS1) located in cytoplasm which consists of two FARS alpha subunits (FARSA) and two FARS beta subunits (FARSB). Autosomal recessive inheritance of pathogenic variants of FARSA or FARSB can result in defective FARS1 which are characterized by interstitial lung disease, liver disease, brain abnormalities, facial dysmorphism and growth restriction.

methodsExome sequencing was used to detect the candidate variants. The in silico prediction and expressional level analysis were performed to evaluate the pathogenicity of the variations. Additionally, we presented the patient's detailed clinical information and compared the clinical feature with other previously reported patients with FARSA-deficiency.

resultsWe identified compound heterozygous rare missense variants (c.1172 T > C/ p.Leu391Pro and c.1211G > A/ p.Arg404His) in FARSA gene in a Chinese male patient. The protein structure prediction and the analysis of levels of FARSA and FARSB subunits indicated both variants pathogenic. Clinical feature review indicated inflammatory symptoms in young infants may be an additional key feature. Thyroid dysfunction should be considered as a phenotype with variable penetrance.

conclusionsOur results expanded the current phenotypic and genetic spectrum of FARSA-deficiency.

Indexed as

Amino Acyl-tRNA SynthetasesMitochondrial ProteinsNeurodevelopmental DisordersPhenylalanine-tRNA LigaseHumansInfantMaleMutationMutation, MissensePhenotypeAmino Acyl-tRNA SynthetasesFARS2 protein, humanFARSA protein, humanMitochondrial ProteinsPhenylalanine-tRNA LigaseExome sequencingFARSA-deficiencyFARSA gene

Identifiers

PMID37833669
PMCPMC10571242
OpenAlexW4387616723

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.