Search Results
Search for other papers by Qiuli Liu in
Google Scholar
PubMed
Search for other papers by Gang Yuan in
Google Scholar
PubMed
Search for other papers by Dali Tong in
Google Scholar
PubMed
Search for other papers by Gaolei Liu in
Google Scholar
PubMed
Search for other papers by Yuting Yi in
Google Scholar
PubMed
Search for other papers by Jun Zhang in
Google Scholar
PubMed
Search for other papers by Yao Zhang in
Google Scholar
PubMed
Search for other papers by Lin-ang Wang in
Google Scholar
PubMed
Search for other papers by Luofu Wang in
Google Scholar
PubMed
Search for other papers by Dianzheng Zhang in
Google Scholar
PubMed
Search for other papers by Rongrong Chen in
Google Scholar
PubMed
Search for other papers by Yanfang Guan in
Google Scholar
PubMed
Search for other papers by Xin Yi in
Google Scholar
PubMed
Search for other papers by Weihua Lan in
Google Scholar
PubMed
Search for other papers by Jun Jiang in
Google Scholar
PubMed
Context
Von Hippel–Lindau (VHL) disease manifests as a variety of benign and malignant neoplasms. Previous studies of VHL disease have documented several genotype–phenotype correlations; however, many such correlations are still unknown. Increased identification of new mutations and patients with previously described mutations will allow us to better understand how VHL mutations influence disease phenotypes.
Patients and design
A total of 45 individuals from five unrelated families were evaluated, of which 21 patients were either diagnosed with VHL disease or showed strong evidence related to this disease. We compared the patients’ gene sequencing results with their medical records including CT or MRI scans, eye examinations and laboratory/pathological examinations. Patients were also interviewed to obtain information regarding their family history.
Results
We identified four missense mutations: c.239G>T (p.Ser80Ile), linked with VHL Type 2B, was associated with renal cell carcinoma, pheochromocytoma and hemangioma in the cerebellum; c.232A>T (p.Asn78Tyr) manifested as RCC alone and likely caused VHL Type 1; c.500G>A (p.Arg167Gln) mutation was more likely to cause VHL Type 2 than Type 1 as it preferentially induced Pheo and HB in the retina, cerebellum and spinal cord; c.293A>G (p.Try98Cys) was associated with Pheo and thus likely induced VHL Type 2.
Conclusions
Characterizing VHL disease genotype–phenotype correlations can enhance the ability to predict the risk of individual patients developing different VHL-related phenotypes. Ultimately, such insight will improve the diagnostics, surveillance and treatment of VHL patients.
Precis
Four missense mutations in VHL have been identified in 21 individuals when five unrelated Chinese families with VHL disease were analyzed; VHL mutations are highly associated with unique disease phenotypes.
Department of Endocrinology, The People’s Hospital of Daxing District, Beijing, China
Search for other papers by Ya-Fen Hu in
Google Scholar
PubMed
Search for other papers by Lin Hua in
Google Scholar
PubMed
Search for other papers by Xiu Tuo in
Google Scholar
PubMed
Search for other papers by Ting-Ting Shi in
Google Scholar
PubMed
Search for other papers by Yi-Lin Yang in
Google Scholar
PubMed
Search for other papers by Yun-Fu Liu in
Google Scholar
PubMed
Search for other papers by Zhong-Yu Yan in
Google Scholar
PubMed
Search for other papers by Zhong Xin in
Google Scholar
PubMed
Background
The pathogenesis underlying the alterations of orbital architecture in Graves’ orbitopathy (GO) is not yet fully understood. The present study aimed to investigate the association of DNA methylation in peripheral blood and orbital volumetry in Chinese patients with GO.
Methods
A total of 35 GO subjects (70 orbits) were subjected to CT scan. The total cross-sectional area of the extraocular muscles (orbital muscles, OM), total orbit area (TOA), and the exophthalmometry were measured and OM/TOA ratio was calculated. Targeted bisulfite sequencing was performed on seven candidate genes.
Results
No significant correlation was established between the DNA methylation levels of these genes and exophthalmometry. The MBP methylation level was found to be correlated with OM/TOA ratio (P < 0.05). Multiple linear regression analysis on parameters including age, sex, TRAb, duration of GO, and DNA methylation levels of seven genes with OM/TOA ratio confirmed that MBP and OM/TOA ratio had a significant correlation (P < 0.05). The partial least squares analysis showed that the top three genes with the highest loadings were MBP, BOLL, and BECN1 and that OM/TOA ratio affected the DNA methylation block than exophthalmometry.
Conclusions
This study provided preliminary evidence that MBP is a potential gene associated with OM enlargement in GO patients according to the combination of DNA methylation sequencing and orbital CT measurement.