Article
Biochemical Research Methods
Xinxin Ye, Bin Zhu, Yang Chen, Yingfeng Wang, Dan Wang, Zhigang Zhao, Zhongfeng Li
Summary: This study performed integrated metabolomics and lipidomics analysis on healthy subjects and cerebral infarction patients, identifying metabolite and lipid biomarkers and enriching disturbed pathways. The results suggest that the approach could contribute to understanding the metabolic dysregulation associated with cerebral infarction pathogenesis and may aid in its early diagnosis.
JOURNAL OF PROTEOME RESEARCH
(2022)
Article
Biochemical Research Methods
Xinxin Ye, Bin Zhu, Yang Chen, Yingfeng Wang, Dan Wang, Zhigang Zhao, Zhongfeng Li
Summary: This study integrated metabolomics and lipidomics analysis to identify 49 metabolite and 68 lipid biomarkers associated with the pathogenesis of cerebral infarction. A support vector machine model constructed using these biomarkers showed excellent predictive ability for early diagnosis.
JOURNAL OF PROTEOME RESEARCH
(2022)
Article
Oncology
Magdalena Buszewska-Forajta, Pawel Pomastowski, Fernanda Monedeiro, Justyna Walczak-Skierska, Marcin Markuszewski, Marcin Matuszewski, Michal J. Markuszewski, Boguslaw Buszewski
Summary: Prostate cancer is a major cause of cancer death in men, often recognized late due to lack of fast diagnostic methods. This study used mass spectrometry to analyze lipid alterations in prostate tissue, aiming to develop a quick and sensitive diagnostic method and improve hormone therapies effectiveness. The results suggest that lipidomics could serve as an alternative diagnostic tool for prostate cancer diagnosis.
Article
Biochemistry & Molecular Biology
Bo Young Hwang, Jae Won Seo, Can Muftuoglu, Ufuk Mert, Filiz Guldaval, Milad Asadi, Haydar Soydaner Karakus, Tuncay Goksel, Ali Veral, Ayse Caner, Myeong Hee Moon
Summary: This study utilized nanoflow ultrahigh-performance liquid chromatography-electrospray ionization-tandem mass spectrometry to analyze the comprehensive lipid profile in patients with non-small cell lung cancer (NSCLC). The results revealed lipid alterations in both saliva and plasma samples, with saliva exhibiting more significant changes. Specific triglycerides and phosphatidylserine were identified as potential biomarkers for predicting lung cancer.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Chemistry, Applied
Zhiqing Liu, Mantong Zhao, Xinwen Wang, Chuan Li, Zhongyuan Liu, Xuanri Shen, Dayong Zhou
Summary: This study analyzed the lipid profiles of oyster Crassostrea gigas from Yellow Sea, East China Sea, and South China Sea using lipidomics strategy. The results showed that there were significant geographical differences in the lipid content, composition, and molecular profiles. Lipidomics could be a potential approach for geographical origin traceability of marine shellfishes.
Article
Endocrinology & Metabolism
Yue Gao, Jingjie Li, Shicheng Fan, Pan Chen, Min Huang, Huichang Bi
Summary: This study used lipidomic analysis to investigate the changes in lipid profiles in ovarian hyperstimulation syndrome (OHSS) patients and identified key lipids associated with the development of OHSS.
FRONTIERS IN ENDOCRINOLOGY
(2022)
Article
Biotechnology & Applied Microbiology
Zhaojun Liu, Keyang Yu, Shuyan Wu, Xing Weng, Shuanghua Luo, Maomao Zeng, Xiaoyuan Wang, Xiaoqing Hu
Summary: This study revealed the lipidomic profile change of P. pastoris at different growth stages using ultra-performance liquid chromatography/nanoelectrospray-mass/mass spectrometry. The results showed high diversity and flexibility of lipids, especially the unsaturated-doublebonds containing lipids, which were closely associated with the change of carbon source and increase of oxidative stress. Moreover, the relative intensity of sphingolipids was significantly increased in the decline phase, likely related to cell apoptosis.
ENZYME AND MICROBIAL TECHNOLOGY
(2022)
Article
Oncology
Dmitry Chistyakov, Mariia Guryleva, Elena S. Stepanova, Lyubov M. Makarenkova, Elena Ptitsyna, Sergei Goriainov, Arina Nikolskaya, Alina A. Astakhova, Anna S. Klimenko, Olga A. Bezborodova, Elena A. Rasskazova, Olga G. Potanina, Rimma A. Abramovich, Elena R. Nemtsova, Marina G. Sergeeva
Summary: This study investigates the alterations in oxylipin metabolism in breast cancer patients and identifies 18 differentially expressed oxylipins in the blood plasma of breast cancer patients at different stages. These oxylipin profiles could be used to evaluate the early stages of breast cancer.
Article
Biochemical Research Methods
William Craig Byrdwell, Hari K. Kotapati, Robert Goldschmidt, Pavel Jakubec, Lucie Novakova
Summary: The study demonstrates the use of split-flow two-dimensional liquid chromatography (SF-2D-LC) and quadruple parallel mass spectrometry (LC3MS4) for analyzing NIST SRM 1849a adult/infant formula, achieving successful three-dimensional chromatographic separation with optimized separation space and mass spectrometry methods.
JOURNAL OF CHROMATOGRAPHY A
(2022)
Article
Rheumatology
Yiyi Gong, Panpan Zhang, Zheng Liu, Jieqiong Li, Hui Lu, Yujie Wang, Bintao Qiu, Mu Wang, Yunyun Fei, Hua Chen, Linyi Peng, Jing Li, Jiaxin Zhou, Qun Shi, Xuan Zhang, Min Shen, Xiaofeng Zeng, Fengchun Zhang, Wen Zhang
Summary: Metabolomic profiling of IgG4-RD patients revealed significant alterations in plasma metabolites compared to healthy controls and post-treated patients. Certain metabolites, such as UTP, UDP-Glc/UDP-Gal, and LysoPC (18:1), showed high sensitivity and specificity in diagnosing IgG4-RD. The study suggested that metabolomic profiling could offer valuable insights into the pathophysiology of IgG4-RD and serve as potential biomarkers for diagnosis.
Article
Oncology
Ezequiel Dantas, Anirudh Murthy, Tanvir Ahmed, Mujmmail Ahmed, Shakti Ramsamooj, Maurice A. Hurd, Tiffany Lam, Murtaza Malbari, Christopher Agrusa, Olivier Elemento, Chen Zhang, Darryl J. Pappin, Timothy E. McGraw, Brendon M. Stiles, Nasser K. Altorki, Marcus D. Goncalves
Summary: The study found that TIMP1 is a suitable biomarker for early detection of lung cancer, and high expression is associated with poor prognosis.
CLINICAL AND TRANSLATIONAL MEDICINE
(2023)
Article
Biochemical Research Methods
Gwang Bin Lee, Young Beom Kim, Jong Cheol Lee, Myeong Hee Moon
Summary: Lipid analysis is crucial for understanding the role of lipids in metabolic diseases and developing potential biomarkers. An optimised high-speed analytical method using nanoflow UHPLC-ESI-MS/MS was successfully applied to analyze plasma samples from patients with liver, gastric, lung, and colorectal cancer, demonstrating its high-throughput capability for lipid analysis.
JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES
(2021)
Article
Nanoscience & Nanotechnology
Xiaopin Lai, Kaiqing Liang, Yang Su, Kunbin Guo, Xin Wang, Yanpei Wan, Cuiqiong Ye, Chengke Zhou, Rongjia Chen, Wenhua Gao, Yuping Chen, Wen Lin, Wenxiu Ni, Yan Lin, Kwan-Ming Ng
Summary: In this study, a PbS/Au-layered substrate was designed to efficiently characterize the lipidomic profiles of lung cancer (LC) patient serum for early diagnosis. The optimized substrate promotes the generation of excited electrons and creates an enhanced electric field, facilitating ion adduction formation and enhancing detection sensitivity. Through multivariate statistics and machine learning, a distinct lipidomic biomarker panel is successfully identified for early diagnosis and staging of LC. This innovative substrate shows potential as a sensitive platform for accurate diagnosis of LC and development of lipidomic-based diagnostic tools for other cancers.
ACS APPLIED MATERIALS & INTERFACES
(2023)
Article
Immunology
Jae Won Seo, Kyu Seong Park, Gwang Bin Lee, Sang-eun Park, Jae-Hoon Choi, Myeong Hee Moon
Summary: Lipid accumulation in macrophages is a prominent phenomenon in atherosclerosis. Lipid profiling of intimal macrophages is important for understanding the phenotypic changes of macrophages in atherosclerotic lesions.
Article
Biochemistry & Molecular Biology
Elina M. Gashimova, Azamat Z. Temerdashev, Dmitry V. Perunov, Vladimir A. Porkhanov, Igor S. Polyakov, Ekaterina V. Dmitrieva
Summary: Lung cancer is a major cause of death worldwide, and early diagnosis is difficult. In this study, the variability of exhaled breath samples among patients with lung cancer and other types of cancer was investigated. Two classification models were created to separate lung cancer patients from patients with cancer in other locations and to classify different types of cancer. The models showed moderate sensitivity and specificity in distinguishing lung cancer from other types of cancer, but poor accuracy in classifying different types of cancer.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)