Article
Chemistry, Analytical
Leicheng Zhang, Tengfei Xu, Jingtao Zhang, Stephen Choong Chee Wong, Mark Ritchie, Han Wei Hou, Yulan Wang
Summary: The study proposes a novel strategy integrating spiral inertial microfluidics and ion mobility mass spectrometry for single-cell metabolite detection and identification. The technology successfully screened the metabolic profiles of different types of cancer cells, improving confidence in metabolite identification. This approach offers a simple and efficient method for single-cell lipid profiling, with additional ion mobility separation significantly enhancing the confidence toward identification of metabolites.
ANALYTICAL CHEMISTRY
(2021)
Article
Medicine, General & Internal
Sophie Lefevre-Arbogast, Boris P. Hejblum, Catherine Helmer, Christian Klose, Claudine Manach, Dorrain Y. Low, Mireia Urpi-Sarda, Cristina Andres-Lacueva, Raul Gonzalez-Dominguez, Ludwig Aigner, Barbara Altendorfer, Paul J. Lucassen, Silvie R. Ruigrok, Chiara De Lucia, Andrea Du Preez, Cecile Proust-Lima, Sandrine Thuret, Aniko Korosi, Cecilia Samieri
Summary: This study found that a specific profile of lipids involved in membrane fluidity, myelination, and lipid rafts in the blood lipidome of non-demented older persons is associated with subsequent cognitive decline.
Article
Cardiac & Cardiovascular Systems
Thomas C. Gilliland, Yuxi Liu, Reza Mohebi, Hannah Miksenas, Sara Haidermota, Megan Wong, Xingdi Hu, Joaquim Rosado Cristino, Auris Browne, Jorge Plutzky, Sotirios Tsimikas, James L. Januzzi Jr, Pradeep Natarajan
Summary: This study investigated the relationships between Lp(a) and OxPLs with angiographic CAD and cardiovascular outcomes. The results showed that Lp(a) and OxPL-apoB were associated with multivessel CAD, and Lp(a), OxPL-apoB, and OxPL-apo(a) were associated with cardiovascular events.
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
(2023)
Article
Medicine, General & Internal
Fanny Urbain, Maharajah Ponnaiah, Farid Ichou, Marie Lhomme, Clement Materne, Sophie Galier, Julien Haroche, Eric Frisdal, Alexis Mathian, Herve Durand, Micheline Pha, Miguel Hie, Anatol Kontush, Philippe Cluzel, Philippe Lesnik, Zahir Amoura, Maryse Guerin, Fleur Cohen Aubart, Wilfried Le Goff
Summary: This study uncovers the contribution of disturbed metabolism to the presence of coronary artery calcium and the associated risk of coronary heart disease in patients with systemic lupus erythematosus (SLE). Identification of novel lipid and metabolite biomarkers may help stratifying patients for reducing cardiovascular disease morbidity and mortality in SLE.
Article
Cell Biology
Stephen T. Vernon, Owen Tang, Taiyun Kim, Adam S. Chan, Katharine A. Kott, John Park, Thomas Hansen, Yen C. Koay, Stuart M. Grieve, John F. O'Sullivan, Jean Y. Yang, Gemma A. Figtree
Summary: The study identified novel associations between four metabolites and CAD plaque phenotypes, as well as two metabolic pathways strongly associated with CAD independently of traditional risk factors. These findings provide new insights and directions for further research in the field.
Article
Biochemistry & Molecular Biology
Aranzazu Santiago-Hernandez, Paula J. Martinez, Marta Agudiez, Angeles Heredero, Laura Gonzalez-Calero, Alma Yuste-Montalvo, Vanesa Esteban, Gonzalo Aldamiz-Echevarria, Marta Martin-Lorenzo, Gloria Alvarez-Llamas
Summary: Atherosclerosis is a major cause of premature deaths due to cardiovascular disease, with limited early intervention based on personalized diagnosis of cardiovascular risk. Metabolic alterations identified in subjects with cardiovascular risk may lead to novel tools aiding cardiovascular risk diagnosis in clinical practice, showing potential for inflammatory response and oxidative stress deregulation.
Article
Biochemistry & Molecular Biology
Eleftherios Panteris, Olga Deda, Andreas S. Papazoglou, Efstratios Karagiannidis, Theodoros Liapikos, Olga Begou, Thomas Meikopoulos, Thomai Mouskeftara, Georgios Sofidis, Georgios Sianos, Georgios Theodoridis, Helen Gika
Summary: Developing risk assessment tools for CAD prediction is challenging. This study developed a machine learning algorithm to predict the severity of CAD based on metabolic and clinical data. The algorithm incorporated clinical and metabolic features to estimate the pre-test likelihood of obstructive CAD.
Article
Food Science & Technology
Run Zhang, Man Yang, Xinhua Hou, Renda Hou, Ligang Wang, Lijun Shi, Fuping Zhao, Xin Liu, Qingshi Meng, Lixian Wang, Longchao Zhang
Summary: This study investigated the characterization and difference of lipids and metabolites between JWX and LW pork using metabolomic and lipidomic profiling. The results showed that JWX pork had higher intramuscular fat content and meat redness compared to LW pork. The composition of metabolites and lipids also showed significant differences between the two types of pork.
FOOD RESEARCH INTERNATIONAL
(2022)
Article
Medicine, General & Internal
Jiangming Sun, Pratibha Singh, Johan Osterlund, Marju Orho-Melander, Olle Melander, Gunnar Engstrom, Andreas Edsfeldt
Summary: Plasma sCaspase-3 is strongly associated with HbA1c and predicts future risk of diabetes and CAD, making it a potential marker for cardio-metabolic risk factors.
JOURNAL OF INTERNAL MEDICINE
(2021)
Article
Cardiac & Cardiovascular Systems
Man Li, Lei Duan, Yulun Cai, Benchuan Hao, Jianqiao Chen, Huiying Li, Hongbin Liu
Summary: This study found that higher levels of sST2 were significantly associated with long-term MACEs and all-cause death in CAD patients with and without T2DM. Adding sST2 to established risk factors improved risk prediction for the composite outcome of MACEs and all-cause death. The predictive value of sST2 for cardiovascular adverse events in CAD patients with T2DM was particularly strong.
CARDIOVASCULAR DIABETOLOGY
(2021)
Article
Medicine, General & Internal
Monika Lewinska, Alvaro Santos-Laso, Enara Arretxe, Cristina Alonso, Ekaterina Zhuravleva, Raul Jimenez-Aguero, Emma Eizaguirre, Maria Jesus Pareja, Manuel Romero-Gomez, Marco Arrese, Malte P. Suppli, Filip K. Knop, Stine Karlsen Oversoe, Gerda Elisabeth Villadsen, Thomas Decaens, Flair Jose Carrilho, Claudia P. M. S. de Oliveira, Bruno Sangro, Rocio I. R. Macias, Jesus M. Banales, Jesper B. Andersen
Summary: The study revealed a complete rearrangement of the serum lipidome in NAFLD-HCC patients, allowing for efficient differentiation from healthy individuals and other HCC patients. A diagnostic model for NAFLD-HCC was developed with superior diagnostic potential compared to traditional AFP. These findings contribute to early detection of NAFLD-HCC.
Review
Biochemistry & Molecular Biology
Santosh Lamichhane, Partho Sen, Marina Amaral Alves, Henrique C. Ribeiro, Peppi Raunioniemi, Tuulia Hyotylainen, Matej Oresic
Summary: Recent studies have shown that microbial lipids can alter lipid concentrations in the host, affecting human lipid homeostasis. The gut microbial communities play a significant role in regulating host cholesterol and sphingolipid homeostasis, highlighting their importance in health and disease.
Article
Cardiac & Cardiovascular Systems
Filip Ottosson, Payam Emami Khoonsari, Mathias J. Gerl, Kai Simons, Olle Melander, Celine Fernandez
Summary: Using lipidomics enables more precise measurement of plasma lipids, which can improve risk assessment and understand the pathogenesis of cardiovascular disease. Study found a lipid pattern that enhances the prediction of coronary artery disease, filling the gap of conventional lipid measures.
INTERNATIONAL JOURNAL OF CARDIOLOGY
(2021)
Article
Cardiac & Cardiovascular Systems
Clemens Wittenbecher, Fabian Eichelmann, Estefania Toledo, Marta Guasch-Ferre, Miguel Ruiz-Canela, Jun Li, Fernando Aros, Chih-Hao Lee, Liming Liang, Jordi Salas-Salvado, Clary B. Clish, Matthias B. Schulze, Miguel Angel Martinez-Gonzalez, Frank B. Hu
Summary: This study identified and validated two lipid metabolites and several lipidomics patterns as potential novel biomarkers of HF risk. Lipid profiling may capture preclinical molecular alterations that predispose to incident HF.
CIRCULATION RESEARCH
(2021)
Article
Medicine, General & Internal
Einar Smith, Ulrika Ericson, Sophie Hellstrand, Marju Orho-Melander, Peter M. Nilsson, Celine Fernandez, Olle Melander, Filip Ottosson
Summary: In this study, a metabolic signature associated with a healthy diet was identified and found to be inversely associated with the risk of type 2 diabetes and coronary artery disease. This association appeared to be independent of traditional risk factors and suggests an effect of healthy dietary intake on cardiometabolic health.
