Mitochondrial neurogastrointestinal encephalomyopathy in china: a novel TYMP variant and comprehensive clinical-genetic insights

This study enriches the variant spectrum in Chinese patients, highlights the importance of early diagnosis prior to the onset of cachexia and irreversible tissue damage, and enhances the understanding of genetic heterogeneity.

Authors

Institutions

Publication Details

Journal
Orphanet Journal of Rare Diseases
Published
2025-08-18
DOI
https://doi.org/10.1186/s13023-025-03962-3
Primary Topic
Metabolism and Genetic Disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mitochondrial neurogastrointestinal encephalomyopathy in china: a novel TYMP variant and comprehensive clinical-genetic insights

Lihong Yang, Xuebi Xu, Fei Xu, Xiaoli Chen et al.
Orphanet Journal of Rare Diseases
Metabolism and Genetic Disorders
article

Mitochondrial neurogastrointestinal encephalomyopathy in china: a novel TYMP variant and comprehensive clinical-genetic insights

Lihong Yang, Xuebi Xu, Fei Xu, Xiaoli Chen, Junhui Xia, Mingshan Wang
article en

Abstract

This study enriches the variant spectrum in Chinese patients, highlights the importance of early diagnosis prior to the onset of cachexia and irreversible tissue damage, and enhances the understanding of genetic heterogeneity.

Orphanet Journal of Rare DiseasesVol. 20(1)
Wenzhou Medical University (CN), First Affiliated Hospital of Wenzhou Medical University (CN)
Good health and well-being
Openalex Percentile: Top 76%
Metabolism and Genetic Disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.