Evidence map›Paper›PMID 36494820›Full record

ArticleOrphanet journal of rare diseases2022

Clinical and genetic characteristics of Chinese patients with congenital cranial dysinnervation disorders.

Hongyan Jia, Qian Ma, Yi Liang, Dan Wang, Qinglin Chang, Bo Zhao, Zongrui Zhang, Jing Liang, Jing Song, Yidi Wang and 3 more

Abstract read
In one paragraph

Article in Orphanet journal of rare diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Observational
  2. Journal of medical genetics · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. TUBB3 and KIF21A in neurodevelopment and disease.Frontiers in neuroscience · 2023
    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

13 authors.

Hongyan Jia *Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China.
Qian Ma *Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China.
Yi LiangBeijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China.
Dan WangBeijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China.
Qinglin ChangDepartment of Radiology, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China.
Bo ZhaoDepartment of Radiology, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China.
Zongrui ZhangDepartment of Radiology, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China.
Jing LiangBeijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China.
Jing SongBeijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China.
Yidi WangBeijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China.
Ranran ZhangBeijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China.
Zhanhan TuDepartment of Neuroscience, Psychology and Behaviour, Ulverscroft Eye Unit, University of Leicester, Robert Kilpatrick Clinical Sciences Building, Leicester Royal Infirmary, Leicester, LE2 7LX, UK.
Yonghong JiaoBeijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China. yhjiao2001@aliyun.com.ORCID 0000-0001-6332-457X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCongenital cranial dysinnervation disorders (CCDDs) are a group of diseases with high clinical and genetic heterogeneity. Clinical examinations combined with Magnetic resonance imaging (MRI) and whole exome sequencing (WES) were performed to reveal the phenotypic and genotypic characteristics in a cohort of Chinese CCDDs patients.

resultsA total of 122 CCDDs patients from 96 families were enrolled. All patients showed restrictive eye movements, and 46 patients from 46 families (47.9%, 46/96) were accompanied by multiple congenital malformations. Multi-positional high-resolution MRI was performed in 94 patients from 88 families, of which, all patients had hypoplasia of the cranial nerves except HGPPS patients and 15 patients from 15 families (17.0%,15/88) were accompanied by other craniocerebral malformations. WES was performed in 122 CCDDs patients. Ten pathogenic variants were detected in KIF21A, TUBB3, and CHN1 genes in 43 families. Three variants were unreported, including KIF21A (c.1064T > C, p.F355S), TUBB3 (c.232T > A, p.S78T) and CHN1 (c.650A > G, p.H217R). Of the 43 probands harboring pathogenic variants, 42 were diagnosed with Congenital Fibrosis of Extraocular Muscles (CFEOM) and one was Duane Retraction Syndrome (DRS). No definite pathogenic variants in known candidate genes of CCDDs were found in sporadic DRS, Möbius Syndrome (MBS) and Horizontal Gaze Palsy with Progressive Scoliosis (HGPPS) patients. The CFEOM patients harboring R380C, E410K and R262H variants in TUBB3 gene and F355S variant in KIF21A gene exhibited syndromic phenotypes.

conclusionsThis study broadened the phenotypic and genotypic spectrums of CCDDs, and it was the largest clinical and genetic investigation for CCDDs patients from China. KIF21A and TUBB3 were the common pathogenic genes in Chinese CFEOM. MRI coupled with WES can provide a supportive diagnosis in patients with clinically suspected CCDDs.

Indexed as

Congenital Cranial Dysinnervation DisordersDuane Retraction SyndromeMobius SyndromeOphthalmoplegiaEast Asian PeopleFibrosisHumansCongenital cranial dysinnervation disordersGeneticsMagnetic resonance imagingPhenotypic and genotypic characteristicsWhole exome sequencing

Identifiers

PMID36494820
PMCPMC9733177

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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.