Cargando…
HR-MS Based Untargeted Lipidomics Reveals Characteristic Lipid Signatures of Wilson’s Disease
Background and Aims: The diagnosis of Wilson’s disease (WD) is challenging by clinical or genetic criteria. A typical early pathological change of WD is the increased liver lipid deposition and lowered serum triglyceride (TG). Therefore, the contents of serum lipids may provide evidence for screenin...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8645799/ https://www.ncbi.nlm.nih.gov/pubmed/34880754 http://dx.doi.org/10.3389/fphar.2021.754185 |
_version_ | 1784610384151314432 |
---|---|
author | Zhi, Yixiao Sun, Yujiao Jiao, Yonggeng Pan, Chen Wu, Zeming Liu, Chang Su, Jie Zhou, Jie Shang, Dong Niu, Junqi Hua, Rui Yin, Peiyuan |
author_facet | Zhi, Yixiao Sun, Yujiao Jiao, Yonggeng Pan, Chen Wu, Zeming Liu, Chang Su, Jie Zhou, Jie Shang, Dong Niu, Junqi Hua, Rui Yin, Peiyuan |
author_sort | Zhi, Yixiao |
collection | PubMed |
description | Background and Aims: The diagnosis of Wilson’s disease (WD) is challenging by clinical or genetic criteria. A typical early pathological change of WD is the increased liver lipid deposition and lowered serum triglyceride (TG). Therefore, the contents of serum lipids may provide evidence for screening of biomarkers for WD. Methods: 34 WD patients, 31 WD relatives, and 65 normal controls were enrolled in this study. Serum lipidomics data was acquired by an ultra-high-performance liquid chromatography high-resolution mass spectrometry system, and the data were analyzed by multivariate statistical methods. Results: Of all 510 identified lipids, there are 297 differential lipids between the WD and controls, 378 differential lipids between the relatives and controls, and 119 differential lipids between the patients and relatives. In WD, the abundances of most saturated TG were increased, whereas other unsaturated lipids decreased, including phosphatidylcholine (PC), sphingomyelin (SM), lysophosphatidylcholine (LPC), ceramide (Cer), and phosphatidylserine (PS). We also found many serum lipid species may be used as biomarkers for WD. The areas under the receiver operating characteristic curve (AUC) of PS (35:0), PS (38:5), and PS (34:0) were 0.919, 0.843, and 0.907. The AUCs of TG (38:0) and CerG1 (d42:2) were 0.948 and 0.915 and the AUCs of LPC (17:0) and LPC (15:0) were 0.980 and 0.960, respectively. The lipid biomarker panel exhibits good diagnostic performance for WD. The correlation networks were built among the different groups and the potential mechanisms of differential lipids were discussed. Interestingly, similar lipid profile of WD is also found in their relatives, which indicated the changes may also related to the mutation of the ATP7B gene. Conclusions: Lipid deregulation is another important hallmark of WD besides the deposition of copper. Our lipidomic results provide new insights into the diagnostic and therapeutic targets of WD. |
format | Online Article Text |
id | pubmed-8645799 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-86457992021-12-07 HR-MS Based Untargeted Lipidomics Reveals Characteristic Lipid Signatures of Wilson’s Disease Zhi, Yixiao Sun, Yujiao Jiao, Yonggeng Pan, Chen Wu, Zeming Liu, Chang Su, Jie Zhou, Jie Shang, Dong Niu, Junqi Hua, Rui Yin, Peiyuan Front Pharmacol Pharmacology Background and Aims: The diagnosis of Wilson’s disease (WD) is challenging by clinical or genetic criteria. A typical early pathological change of WD is the increased liver lipid deposition and lowered serum triglyceride (TG). Therefore, the contents of serum lipids may provide evidence for screening of biomarkers for WD. Methods: 34 WD patients, 31 WD relatives, and 65 normal controls were enrolled in this study. Serum lipidomics data was acquired by an ultra-high-performance liquid chromatography high-resolution mass spectrometry system, and the data were analyzed by multivariate statistical methods. Results: Of all 510 identified lipids, there are 297 differential lipids between the WD and controls, 378 differential lipids between the relatives and controls, and 119 differential lipids between the patients and relatives. In WD, the abundances of most saturated TG were increased, whereas other unsaturated lipids decreased, including phosphatidylcholine (PC), sphingomyelin (SM), lysophosphatidylcholine (LPC), ceramide (Cer), and phosphatidylserine (PS). We also found many serum lipid species may be used as biomarkers for WD. The areas under the receiver operating characteristic curve (AUC) of PS (35:0), PS (38:5), and PS (34:0) were 0.919, 0.843, and 0.907. The AUCs of TG (38:0) and CerG1 (d42:2) were 0.948 and 0.915 and the AUCs of LPC (17:0) and LPC (15:0) were 0.980 and 0.960, respectively. The lipid biomarker panel exhibits good diagnostic performance for WD. The correlation networks were built among the different groups and the potential mechanisms of differential lipids were discussed. Interestingly, similar lipid profile of WD is also found in their relatives, which indicated the changes may also related to the mutation of the ATP7B gene. Conclusions: Lipid deregulation is another important hallmark of WD besides the deposition of copper. Our lipidomic results provide new insights into the diagnostic and therapeutic targets of WD. Frontiers Media S.A. 2021-11-22 /pmc/articles/PMC8645799/ /pubmed/34880754 http://dx.doi.org/10.3389/fphar.2021.754185 Text en Copyright © 2021 Zhi, Sun, Jiao, Pan, Wu, Liu, Su, Zhou, Shang, Niu, Hua and Yin. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Pharmacology Zhi, Yixiao Sun, Yujiao Jiao, Yonggeng Pan, Chen Wu, Zeming Liu, Chang Su, Jie Zhou, Jie Shang, Dong Niu, Junqi Hua, Rui Yin, Peiyuan HR-MS Based Untargeted Lipidomics Reveals Characteristic Lipid Signatures of Wilson’s Disease |
title | HR-MS Based Untargeted Lipidomics Reveals Characteristic Lipid Signatures of Wilson’s Disease |
title_full | HR-MS Based Untargeted Lipidomics Reveals Characteristic Lipid Signatures of Wilson’s Disease |
title_fullStr | HR-MS Based Untargeted Lipidomics Reveals Characteristic Lipid Signatures of Wilson’s Disease |
title_full_unstemmed | HR-MS Based Untargeted Lipidomics Reveals Characteristic Lipid Signatures of Wilson’s Disease |
title_short | HR-MS Based Untargeted Lipidomics Reveals Characteristic Lipid Signatures of Wilson’s Disease |
title_sort | hr-ms based untargeted lipidomics reveals characteristic lipid signatures of wilson’s disease |
topic | Pharmacology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8645799/ https://www.ncbi.nlm.nih.gov/pubmed/34880754 http://dx.doi.org/10.3389/fphar.2021.754185 |
work_keys_str_mv | AT zhiyixiao hrmsbaseduntargetedlipidomicsrevealscharacteristiclipidsignaturesofwilsonsdisease AT sunyujiao hrmsbaseduntargetedlipidomicsrevealscharacteristiclipidsignaturesofwilsonsdisease AT jiaoyonggeng hrmsbaseduntargetedlipidomicsrevealscharacteristiclipidsignaturesofwilsonsdisease AT panchen hrmsbaseduntargetedlipidomicsrevealscharacteristiclipidsignaturesofwilsonsdisease AT wuzeming hrmsbaseduntargetedlipidomicsrevealscharacteristiclipidsignaturesofwilsonsdisease AT liuchang hrmsbaseduntargetedlipidomicsrevealscharacteristiclipidsignaturesofwilsonsdisease AT sujie hrmsbaseduntargetedlipidomicsrevealscharacteristiclipidsignaturesofwilsonsdisease AT zhoujie hrmsbaseduntargetedlipidomicsrevealscharacteristiclipidsignaturesofwilsonsdisease AT shangdong hrmsbaseduntargetedlipidomicsrevealscharacteristiclipidsignaturesofwilsonsdisease AT niujunqi hrmsbaseduntargetedlipidomicsrevealscharacteristiclipidsignaturesofwilsonsdisease AT huarui hrmsbaseduntargetedlipidomicsrevealscharacteristiclipidsignaturesofwilsonsdisease AT yinpeiyuan hrmsbaseduntargetedlipidomicsrevealscharacteristiclipidsignaturesofwilsonsdisease |