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Journal articles on the topic 'Lipidomcis'

Author: Grafiati

Published: 7 July 2021

Last updated: 29 July 2025

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1

Imbs, Andrey B., Ekaterina V. Ermolenko, Valeria P. Grigorchuk, Tatiana V. Sikorskaya, and Peter V. Velansky. "Current Progress in Lipidomics of Marine Invertebrates." Marine Drugs 19, no. 12 (2021): 660. http://dx.doi.org/10.3390/md19120660.

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Marine invertebrates are a paraphyletic group that comprises more than 90% of all marine animal species. Lipids form the structural basis of cell membranes, are utilized as an energy reserve by all marine invertebrates, and are, therefore, considered important indicators of their ecology and biochemistry. The nutritional value of commercial invertebrates directly depends on their lipid composition. The lipid classes and fatty acids of marine invertebrates have been studied in detail, but data on their lipidomes (the profiles of all lipid molecules) remain very limited. To date, lipidomes or th

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Mönki, Jenni, and Anna Mykkänen. "Lipids in Equine Airway Inflammation: An Overview of Current Knowledge." Animals 14, no. 12 (2024): 1812. http://dx.doi.org/10.3390/ani14121812.

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Mild–moderate and severe equine asthma (MEA and SEA) are prevalent inflammatory airway conditions affecting horses of numerous breeds and disciplines. Despite extensive research, detailed disease pathophysiology and the differences between MEA and SEA are still not completely understood. Bronchoalveolar lavage fluid cytology, broadly used in clinical practice and in equine asthma research, has limited means to represent the inflammatory status in the lower airways. Lipidomics is a field of science that can be utilized in investigating cellular mechanisms and cell-to-cell interactions. Studies

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Ahluwalia, Kabir, Brandon Ebright, Kingsley Chow, et al. "Lipidomics in Understanding Pathophysiology and Pharmacologic Effects in Inflammatory Diseases: Considerations for Drug Development." Metabolites 12, no. 4 (2022): 333. http://dx.doi.org/10.3390/metabo12040333.

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The lipidome has a broad range of biological and signaling functions, including serving as a structural scaffold for membranes and initiating and resolving inflammation. To investigate the biological activity of phospholipids and their bioactive metabolites, precise analytical techniques are necessary to identify specific lipids and quantify their levels. Simultaneous quantification of a set of lipids can be achieved using high sensitivity mass spectrometry (MS) techniques, whose technological advancements have significantly improved over the last decade. This has unlocked the power of metabol

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Yeo, JuDong, JaeYoon Kang, HyeonJin Kim, and Chaeeun Moon. "A Critical Overview of HPLC-MS-Based Lipidomics in Determining Triacylglycerol and Phospholipid in Foods." Foods 12, no. 17 (2023): 3177. http://dx.doi.org/10.3390/foods12173177.

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With the current advancement in mass spectrometry (MS)-based lipidomics, the knowledge of lipidomes and their diverse roles has greatly increased, enabling a deeper understanding of the action of bioactive lipid molecules in plant- and animal-based foods. This review provides in-depth information on the practical use of MS techniques in lipidomics, including lipid extraction, adduct formation, MS analysis, data processing, statistical analysis, and bioinformatics. Moreover, this contribution demonstrates the effectiveness of MS-based lipidomics for identifying and quantifying diverse lipid spe

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Han, Xianlin, and Richard W. Gross. "Shotgun lipidomics: multidimensional MS analysis of cellular lipidomes." Expert Review of Proteomics 2, no. 2 (2005): 253–64. http://dx.doi.org/10.1586/14789450.2.2.253.

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6

Sakr, Fatemah, Martin Dyrba, Anja Bräuer, and Stefan Teipel. "Association of Lipidomics Signatures in Blood with Clinical Progression in Preclinical and Prodromal Alzheimer’s Disease." Journal of Alzheimer's Disease 85, no. 3 (2022): 1115–27. http://dx.doi.org/10.3233/jad-201504.

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Background: Lipidomics may provide insight into biochemical processes driving Alzheimer’s disease (AD) pathogenesis and ensuing clinical trajectories. Objective: To identify a peripheral lipidomics signature associated with AD pathology and investigate its potential to predict clinical progression. Methods: We used Bayesian elastic net regression to select plasma lipid classes associated with the CSF pTau/Aβ42 ratio as a biomarker of AD pathology in preclinical and prodromal AD cases from the ADNI cohort. Consensus clustering of the selected lipid classes was used to identify lipidomic endophe

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Perera, Tharangani R. W., Elizabeth G. Bromfield, Zamira Gibb, et al. "Plasma Lipidomics Reveals Lipid Signatures of Early Pregnancy in Mares." International Journal of Molecular Sciences 25, no. 20 (2024): 11073. http://dx.doi.org/10.3390/ijms252011073.

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Understanding the systemic biochemistry of early pregnancy in the mare is essential for developing new diagnostics and identifying causes for pregnancy loss. This study aimed to elucidate the dynamic lipidomic changes occurring during the initial stages of equine pregnancy, with a specific focus on days 7 and 14 post-ovulation. By analysing and comparing the plasma lipid profiles of pregnant and non-pregnant mares, the objective of this study was to identify potential biomarkers for pregnancy and gain insights into the biochemical adaptations essential for supporting maternal recognition of pr

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Wang, Jiani, Fei Ma, Xiaoying Sun, et al. "Peripheral lipidomics analyses with ensemble machine learning predict response to neoadjuvant therapy in breast cancer." Journal of Clinical Oncology 40, no. 16_suppl (2022): 582. http://dx.doi.org/10.1200/jco.2022.40.16_suppl.582.

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582 Background: Neoadjuvant therapy (NAT) is critical in the therapeutic strategy for locally advanced breast cancer (BC) patients. Biomarkers to predict the pathologic complete response (pCR) and to screen beneficial responders need to be urgently explored. Lipidomics is a high-throughput analysis technique, which has potential applications for peripheral biomarkers’ detection to overcome the difficulty in serial pathological biopsies and tumor heterogeneity. Machine learning is a method for mining high-dimensional information with high group and low intermolecular correlation. Here we constr

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Koelmel, Jeremy P., Xiangdong Li, Sarah M. Stow, et al. "Lipid Annotator: Towards Accurate Annotation in Non-Targeted Liquid Chromatography High-Resolution Tandem Mass Spectrometry (LC-HRMS/MS) Lipidomics Using a Rapid and User-Friendly Software." Metabolites 10, no. 3 (2020): 101. http://dx.doi.org/10.3390/metabo10030101.

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Lipidomics has great promise in various applications; however, a major bottleneck in lipidomics is the accurate and comprehensive annotation of high-resolution tandem mass spectral data. While the number of available lipidomics software has drastically increased over the past five years, the reduction of false positives and the realization of obtaining structurally accurate annotations remains a significant challenge. We introduce Lipid Annotator, which is a user-friendly software for lipidomic analysis of data collected by liquid chromatography high-resolution tandem mass spectrometry (LC-HRM

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10

Prasad, Shirleen S., Matthew C. Taylor, Valentina Colombo, et al. "Patterns of Variation in the Usage of Fatty Acid Chains among Classes of Ester and Ether Neutral Lipids and Phospholipids in the Queensland Fruit Fly." Insects 14, no. 11 (2023): 873. http://dx.doi.org/10.3390/insects14110873.

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Modern lipidomics has the power and sensitivity to elucidate the role of insects’ lipidomes in their adaptations to the environment at a mechanistic molecular level. However, few lipidomic studies have yet been conducted on insects beyond model species such as Drosophila melanogaster. Here, we present the lipidome of adult males of another higher dipteran frugivore, Bactrocera tryoni. We describe 421 lipids across 15 classes of ester neutral lipids and phospholipids and ether neutral lipids and phospholipids. Most of the lipids are specified in terms of the carbon and double bond contents of e

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Sieber-Ruckstuhl, Nadja S., Wai Kin Tham, Franziska Baumgartner, et al. "Serum Lipidome Signatures of Dogs with Different Endocrinopathies Associated with Hyperlipidemia." Metabolites 12, no. 4 (2022): 306. http://dx.doi.org/10.3390/metabo12040306.

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Hyperlipidemia (hypertriglyceridemia, hypercholesterolemia) is a common finding in human and veterinary patients with endocrinopathies (e.g., hypothyroidism and hypercortisolism (Cushing’s syndrome; CS)). Despite emerging use of lipidomics technology in medicine, the lipid profiles of these endocrinopathies have not been evaluated and characterized in dogs. The aim of this study was to compare the serum lipidomes of dogs with naturally occurring CS or hypothyroidism with those of healthy dogs. Serum samples from 39 dogs with CS, 45 dogs with hypothyroidism, and 10 healthy beagle dogs were anal

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Pauling, Josch K., and Edda Klipp. "Computational Lipidomics and Lipid Bioinformatics: Filling In the Blanks." Journal of Integrative Bioinformatics 13, no. 1 (2016): 34–51. http://dx.doi.org/10.1515/jib-2016-299.

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SummaryLipids are highly diverse metabolites of pronounced importance in health and disease. While metabolomics is a broad field under the omics umbrella that may also relate to lipids, lipidomics is an emerging field which specializes in the identification, quantification and functional interpretation of complex lipidomes. Today, it is possible to identify and distinguish lipids in a high-resolution, high-throughput manner and simultaneously with a lot of structural detail. However, doing so may produce thousands of mass spectra in a single experiment which has created a high demand for speci

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Nankya, Winniefred. "Lipidomics in Obesity: Unveiling Metabolic Pathways Contributing to Hyperlipidemia." Research Output Journal of Public Health and Medicine 4, no. 3 (2024): 32–36. https://doi.org/10.59298/rojphm/2024/433236.

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Obesity, a global public health challenge, is intricately linked to hyperlipidemia, which significantly increases the risk of metabolic syndrome, cardiovascular diseases, and type 2 diabetes. Lipidomics, the comprehensive study of lipid profiles within biological systems, has emerged as a powerful tool for unraveling the complex lipid metabolic alterations that occur in obesity. This review provides a detailed analysis of lipidomics and its application in understanding the dysregulated metabolic pathways contributing to hyperlipidemia in obesity. We examine key lipid species, including fatty a

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Ferreri, Carla, Chryssostomos Chatgilialoglu, and Rosaria Ferreri. "Transferring Chemical Research to a Spin-off Initiative in Health Care: The Lipidomic Approach." Industry and Higher Education 22, no. 6 (2008): 403–9. http://dx.doi.org/10.5367/000000008787225920.

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Lipidomics is an emerging discipline in life sciences related to the lipid metabolism of living organisms. In the last decade chemical and biological research has attributed very important roles to membrane phospholipids in relationship to free radical stress and metabolic situations. An entrepreneurial initiative for diagnostic tools and health care products in the field of lipidomics started two years ago in Italy as a spin-off company of the National Council of Research. This paper presents an overview of the lipidomic approach applied in the company with regard to the metabolic and functio

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Geroldinger-Simić, Marija, Thomas Bögl, Markus Himmelsbach, Norbert Sepp, and Wolfgang Buchberger. "Changes in Plasma Phospholipid Metabolism Are Associated with Clinical Manifestations of Systemic Sclerosis." Diagnostics 11, no. 11 (2021): 2116. http://dx.doi.org/10.3390/diagnostics11112116.

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Systemic sclerosis (SSc) is an autoimmune disease with fibrosis of the skin and/or internal organs, causing a decrease in quality of life and survival. There is no causative therapy, and the pathophysiology of the SSc remains unclear. Studies showed that lipid metabolism was relevant for autoimmune diseases, but little is known about the role of lipids in SSc. In the present study, we sought to explore the phospholipid profile of SSc by using the lipidomics approach. We also aimed to analyze lipidomics results for different clinical manifestations of SSc. Experiments were performed using high-

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Varga-Zsíros, Vanda, Ede Migh, Annamária Marton, et al. "Development of a Laser Microdissection-Coupled Quantitative Shotgun Lipidomic Method to Uncover Spatial Heterogeneity." Cells 12, no. 3 (2023): 428. http://dx.doi.org/10.3390/cells12030428.

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Lipid metabolic disturbances are associated with several diseases, such as type 2 diabetes or malignancy. In the last two decades, high-performance mass spectrometry-based lipidomics has emerged as a valuable tool in various fields of biology. However, the evaluation of macroscopic tissue homogenates leaves often undiscovered the differences arising from micron-scale heterogeneity. Therefore, in this work, we developed a novel laser microdissection-coupled shotgun lipidomic platform, which combines quantitative and broad-range lipidome analysis with reasonable spatial resolution. The multistep

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Dei Cas, Michele, Chiara Maura Ciniselli, Elisabetta Vergani, et al. "Alterations in Plasma Lipid Profiles Associated with Melanoma and Therapy Resistance." International Journal of Molecular Sciences 25, no. 3 (2024): 1558. http://dx.doi.org/10.3390/ijms25031558.

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Dysfunctions of lipid metabolism are associated with tumor progression and treatment resistance of cutaneous melanoma. BRAF/MEK inhibitor resistance is linked to alterations of melanoma lipid pathways. We evaluated whether a specific lipid pattern characterizes plasma from melanoma patients and their response to therapy. Plasma samples from patients and controls were analyzed for FASN and DHCR24 levels and lipidomic profiles. FASN and DHCR24 expression resulted in association with disease condition and related to plasma cholesterol and triglycerides in patients at different disease stages (n =

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18

Tou, Kathy, Adam Cawley, Christopher Bowen, David P. Bishop, and Shanlin Fu. "Towards Non-Targeted Screening of Lipid Biomarkers for Improved Equine Anti-Doping." Molecules 28, no. 1 (2022): 312. http://dx.doi.org/10.3390/molecules28010312.

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The current approach to equine anti-doping is focused on the targeted detection of prohibited substances. However, as new substances are rapidly being developed, the need for complimentary methods for monitoring is crucial to ensure the integrity of the racing industry is upheld. Lipidomics is a growing field involved in the characterisation of lipids, their function and metabolism in a biological system. Different lipids have various biological effects throughout the equine system including platelet aggregation and inflammation. A certain class of lipids that are being reviewed are the eicosa

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Li, Qi, Haoyu Chen, Hui Gao, et al. "Role of CD33 basophils in mediating the effect of lipidome on chronic kidney disease: A 2-sample, 2-variable, bidirectional Mendelian randomization analysis." Medicine 104, no. 19 (2025): e42332. https://doi.org/10.1097/md.0000000000042332.

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This study aimed to investigate the causal relationship between lipidomes and chronic kidney disease (CKD) and identify and quantify the role of immune cells as a potential mediator. Using summary-level data from a genome-wide association study, a 2-sample Mendelian randomization (MR) analysis of genetically predicted lipidomes (7174 cases) and CKD (406,745 cases) was performed. Furthermore, we used 2-step MR to quantitate the proportion of the effect of immune cells traits–mediated lipidomes on CKD. The MR analysis revealed a causal relationship between lipidomes and CKD, with different lipid

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Ding, Ming, and Kathryn M. Rexrode. "A Review of Lipidomics of Cardiovascular Disease Highlights the Importance of Isolating Lipoproteins." Metabolites 10, no. 4 (2020): 163. http://dx.doi.org/10.3390/metabo10040163.

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Cutting-edge lipidomic profiling measures hundreds or even thousands of lipids in plasma and is increasingly used to investigate mechanisms of cardiovascular disease (CVD). In this review, we introduce lipidomic techniques, describe distributions of lipids across lipoproteins, and summarize findings on the association of lipids with CVD based on lipidomics. The main findings of 16 cohort studies were that, independent of total and high-density lipoprotein cholesterol (HDL-c), ceramides (d18:1/16:0, d18:1/18:0, and d18:1/24:1) and phosphatidylcholines (PCs) containing saturated and monounsatura

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Merrill, Alfred H., and M. Cameron Sullards. "Opinion article on lipidomics: Inherent challenges of lipidomic analysis of sphingolipids." Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids 1862, no. 8 (2017): 774–76. http://dx.doi.org/10.1016/j.bbalip.2017.01.009.

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22

Kostara, Christina E. "Expanding the Molecular Disturbances of Lipoproteins in Cardiometabolic Diseases: Lessons from Lipidomics." Diagnostics 13, no. 4 (2023): 721. http://dx.doi.org/10.3390/diagnostics13040721.

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The increasing global burden of cardiometabolic diseases highlights the urgent clinical need for better personalized prediction and intervention strategies. Early diagnosis and prevention could greatly reduce the enormous socio-economic burden posed by these states. Plasma lipids including total cholesterol, triglycerides, HDL-C, and LDL-C have been at the center stage of the prediction and prevention strategies for cardiovascular disease; however, the bulk of cardiovascular disease events cannot be explained sufficiently by these lipid parameters. The shift from traditional serum lipid measur

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Colak, Cemil, Fatma Hilal Yagin, Abdulmohsen Algarni, Ali Algarni, Fahaid Al-Hashem, and Luca Paolo Ardigò. "Untargeted Lipidomic Biomarkers for Liver Cancer Diagnosis: A Tree-Based Machine Learning Model Enhanced by Explainable Artificial Intelligence." Medicina 61, no. 3 (2025): 405. https://doi.org/10.3390/medicina61030405.

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Background and Objectives: Liver cancer ranks among the leading causes of cancer-related mortality, necessitating the development of novel diagnostic methods. Deregulated lipid metabolism, a hallmark of hepatocarcinogenesis, offers compelling prospects for biomarker identification. This study aims to employ explainable artificial intelligence (XAI) to identify lipidomic biomarkers for liver cancer and to develop a robust predictive model for early diagnosis. Materials and Methods: This study included 219 patients diagnosed with liver cancer and 219 healthy controls. Serum samples underwent unt

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Pontes, João Guilherme de Moraes, Milka Jadranin, Márcia Regina Assalin, et al. "Lipidomics by Nuclear Magnetic Resonance Spectroscopy and Liquid Chromatography–High-Resolution Mass Spectrometry in Osteosarcoma: A Pilot Study." Metabolites 14, no. 8 (2024): 416. http://dx.doi.org/10.3390/metabo14080416.

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Cancer is a complex disease that can also affect the younger population; however, it is responsible for a relatively high mortality rate of children and youth, especially in low- and middle-income countries (LMICs). Besides that, lipidomic studies in this age range are scarce. Therefore, we analyzed blood serum samples from young patients (12 to 35 years) with bone sarcoma (osteosarcoma) and compared their lipidomics to the ones from the control group of samples, named healthy control (HC group), using NMR and LC-MS techniques. Furthermore, differences in the lipidomic profiles between OS pati

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Díaz-Grijuela, Elisa, Agustín Hernández, Claudia Caballero, et al. "From Lipid Signatures to Cellular Responses: Unraveling the Complexity of Melanoma and Furthering Its Diagnosis and Treatment." Medicina 60, no. 8 (2024): 1204. http://dx.doi.org/10.3390/medicina60081204.

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Recent advancements in mass spectrometry have significantly enhanced our understanding of complex lipid profiles, opening new avenues for oncological diagnostics. This review highlights the importance of lipidomics in the comprehension of certain metabolic pathways and its potential for the detection and characterization of various cancers, in particular melanoma. Through detailed case studies, we demonstrate how lipidomic analysis has led to significant breakthroughs in the identification and understanding of cancer types and its potential for detecting unique biomarkers that are instrumental

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Gerhardtova, Ivana, Ivana Cizmarova, Timotej Jankech, et al. "Implementation of Modern Therapeutic Drug Monitoring and Lipidomics Approaches in Clinical Practice: A Case Study with Colistin Treatment." Pharmaceuticals 17, no. 6 (2024): 753. http://dx.doi.org/10.3390/ph17060753.

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Nowadays, lipidomics plays a crucial role in the investigation of novel biomarkers of various diseases. Its implementation into the field of clinical analysis led to the identification of specific lipids and/or significant changes in their plasma levels in patients suffering from cancer, Alzheimer’s disease, sepsis, and many other diseases and pathological conditions. Profiling of lipids and determination of their plasma concentrations could also be helpful in the case of drug therapy management, especially in combination with therapeutic drug monitoring (TDM). Here, for the first time, a comb

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Chitpin, Justin G., Anuradha Surendra, Thao T. Nguyen, et al. "BATL: Bayesian annotations for targeted lipidomics." Bioinformatics 38, no. 6 (2021): 1593–99. http://dx.doi.org/10.1093/bioinformatics/btab854.

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Abstract Motivation Bioinformatic tools capable of annotating, rapidly and reproducibly, large, targeted lipidomic datasets are limited. Specifically, few programs enable high-throughput peak assessment of liquid chromatography–electrospray ionization tandem mass spectrometry data acquired in either selected or multiple reaction monitoring modes. Results We present here Bayesian Annotations for Targeted Lipidomics, a Gaussian naïve Bayes classifier for targeted lipidomics that annotates peak identities according to eight features related to retention time, intensity, and peak shape. Lipid iden

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Rocchetti, Gabriele, Marika Vitali, Martina Zappaterra, et al. "A molecular insight into the lipid changes of pig Longissimus thoracis muscle following dietary supplementation with functional ingredients." PLOS ONE 17, no. 3 (2022): e0264953. http://dx.doi.org/10.1371/journal.pone.0264953.

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In this work, the Longissimus thoracis pig skeletal muscle was used as a model to investigate the impact of two different diets, supplemented with n-3 polyunsaturated fatty acids from extruded linseed (L) and polyphenols from grape skin and oregano extracts (L+P), on the lipidomic profile of meat. A standard diet for growing-finishing pigs (CTRL) was used as a control. Changes in lipids profile were investigated through an untargeted lipidomics and transcriptomics combined investigation. The lipidomics identified 1507 compounds, with 195 compounds fitting with the MS/MS spectra of LipidBlast d

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Wei, Tao, Na Cao, Tiantian Han, et al. "Lipidomics Analysis Explores the Mechanism of Renal Injury in Rat Induced by 3-MCPD." Toxics 11, no. 6 (2023): 479. http://dx.doi.org/10.3390/toxics11060479.

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3-monochloropropane-1,2-diol (3-MCPD) is a food-process toxic substance, and its main target organ is the kidney. The present study examined and characterized the nephrotoxicity and the lipidomic mechanisms in a model of kidney injury in Sprague Dawley (SD) rats treated with high (45 mg/kg) and low (30 mg/kg) doses of 3-MCPD. The results showed that the ingestion of 3-MCPD led to a dose-dependent increase in serum creatinine and urea nitrogen levels and histological renal impairment. The oxidative stress indicators (MDA, GSH, T-AOC) in the rat kidney altered in a dose-dependent manner in 3-MCP

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Meng, Xiaoxue, Qingzhu Bi, Qiang Ma, et al. "Dietary Cholesterol Differentially Regulates the Muscle Lipidomics of Farmed Turbot and Tiger Puffer." Animals 13, no. 10 (2023): 1632. http://dx.doi.org/10.3390/ani13101632.

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Exogenous cholesterol has been supplemented into aqua-feeds due to the reduced proportions of fishmeal and fish oil. This study aimed to investigate the effects of dietary cholesterol supplementation on the muscle lipidomics of two marine fish species, turbot and tiger puffer. A 70-day feeding trial was conducted, where two low-fishmeal diets supplemented with 0 or 1% cholesterol were used. The lipidomic analysis with targeted tandem mass spectrometry showed that, in turbot, a total of 49 individual lipids exhibited significant differences in their abundance in response to dietary cholesterol,

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Hu, Changfeng, Chunyan Wang, Lijiao He, and Xianlin Han. "Novel strategies for enhancing shotgun lipidomics for comprehensive analysis of cellular lipidomes." TrAC Trends in Analytical Chemistry 120 (November 2019): 115330. http://dx.doi.org/10.1016/j.trac.2018.11.028.

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Robinson, Harley, Jeffrey Molendijk, Alok K. Shah, Tony Rahman, Gregory J. Anderson, and Michelle M. Hill. "Rapid Assessment of Lipidomics Sample Purity and Quantity Using Fourier-Transform Infrared Spectroscopy." Biomolecules 12, no. 9 (2022): 1265. http://dx.doi.org/10.3390/biom12091265.

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Despite the increasing popularity of liquid chromatography–mass spectrometry (LC-MS)-based lipidomics, there is a lack of accepted and validated methods for lipid extract quality and quantity assessment prior to LC-MS. Fourier-Transform Infrared Spectroscopy (FTIR) has been reported for quantification of pure lipids. However, the impact of complex lipid sample complexity and purity on total lipid quantification accuracy has not been investigated. Here, we report comprehensive assessment of the sample matrix on the accuracy of lipid quantification using Attenuated Total Reflectance (ATR)-FTIR a

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Rivas Serna, Irma Magaly, Ilaria Romito, Andrea Maugeri, et al. "A Lipidomic Signature Complements Stemness Features Acquisition in Liver Cancer Cells." International Journal of Molecular Sciences 21, no. 22 (2020): 8452. http://dx.doi.org/10.3390/ijms21228452.

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Lipid catabolism and anabolism changes play a role in stemness acquisition by cancer cells, and cancer stem cells (CSCs) are particularly dependent on the activity of the enzymes involved in these processes. Lipidomic changes could play a role in CSCs’ ability to cause disease relapse and chemoresistance. The exploration of lipid composition and metabolism changes in CSCs in the context of hepatocellular cancer (HCC) is still incomplete and their lipidomic scenario continues to be elusive. We aimed to evaluate through high-throughput mass spectrometry (MS)-based lipidomics the levels of the me

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Xu, Qing-Yang, Han Li, Hai-Xia Cao, Qin Pan, and Jian-Gao Fan. "APOC3 rs2070667 Associates with Serum Triglyceride Profile and Hepatic Inflammation in Nonalcoholic Fatty Liver Disease." BioMed Research International 2020 (November 26, 2020): 1–9. http://dx.doi.org/10.1155/2020/8869674.

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Single-nucleotide polymorphisms (SNPs) of apolipoprotein C3 (APOC3) play important role in lipid metabolism, and dyslipidemia underlies nonalcoholic fatty liver disease (NAFLD). But the correlation of serum lipidomics, APOC3 SNPs, and NAFLD remains limited understood. Enrolling thirty-four biopsy-proven NAFLD patients from Tianjin, Shanghai, Fujian, we investigated their APOC3 genotype and serum lipid profile by DNA sequencing and ultraperformance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS), respectively. Scoring of hepatocyte steatosis, ballooning, lobular inflammation, and li

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Li, Wenxin, Chi Zhang, Shuhei Aramaki, et al. "Lipid Polyunsaturated Fatty Acid Chains in Mouse Kidneys Were Increased within 5 min of a Single High Dose Whole Body Irradiation." International Journal of Molecular Sciences 24, no. 15 (2023): 12439. http://dx.doi.org/10.3390/ijms241512439.

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To understand the ultra-early reaction of normal organ lipids during irradiation, we investigated the response of lipids, including polyunsaturated fatty acid (PUFA) chains, which are particularly susceptible to damage by ROS, in mice’s kidneys, lungs, brains, and livers within 5 min of single high-dose irradiation. In this study, we set up three groups of C56BL/6 male mice and conducted whole-body irradiation with 0 Gy, 10 Gy, and 20 Gy single doses. Kidney, lung, brain, and liver tissues were collected within 5 min of irradiation. PUFA-targeted and whole lipidomic analyses were conducted usi

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Meoni, Gaia, Veronica Ghini, Laura Maggi, et al. "Metabolomic/lipidomic profiling of COVID-19 and individual response to tocilizumab." PLOS Pathogens 17, no. 2 (2021): e1009243. http://dx.doi.org/10.1371/journal.ppat.1009243.

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The current pandemic emergence of novel coronavirus disease (COVID-19) poses a relevant threat to global health. SARS-CoV-2 infection is characterized by a wide range of clinical manifestations, ranging from absence of symptoms to severe forms that need intensive care treatment. Here, plasma-EDTA samples of 30 patients compared with age- and sex-matched controls were analyzed via untargeted nuclear magnetic resonance (NMR)-based metabolomics and lipidomics. With the same approach, the effect of tocilizumab administration was evaluated in a subset of patients. Despite the heterogeneity of the c

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Purwaha, Preeti, Franklin Gu, Danthasinghe Piyarathna, et al. "Unbiased Lipidomic Profiling of Triple-Negative Breast Cancer Tissues Reveals the Association of Sphingomyelin Levels with Patient Disease-Free Survival." Metabolites 8, no. 3 (2018): 41. http://dx.doi.org/10.3390/metabo8030041.

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The reprogramming of lipid metabolism is a hallmark of many cancers that has been shown to promote breast cancer progression. While several lipid signatures associated with breast cancer aggressiveness have been identified, a comprehensive lipidomic analysis specifically targeting the triple-negative subtype of breast cancer (TNBC) may be required to identify novel biomarkers and therapeutic targets for this most aggressive subtype of breast cancer that still lacks effective therapies. In this current study, our global LC-MS-based lipidomics platform was able to measure 684 named lipids across

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Triebl, Alexander, and Markus Wenk. "Analytical Considerations of Stable Isotope Labelling in Lipidomics." Biomolecules 8, no. 4 (2018): 151. http://dx.doi.org/10.3390/biom8040151.

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Over the last two decades, lipids have come to be understood as far more than merely components of cellular membranes and forms of energy storage, and are now also being implicated to play important roles in a variety of diseases, with lipid biomarker research one of the most widespread applications of lipidomic techniques both in research and in clinical settings. Stable isotope labelling has become a staple technique in the analysis of small molecule metabolism and dynamics, as it is the only experimental setup by which biosynthesis, remodelling and degradation of biomolecules can be directl

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Sakallioglu, Isin Tuna, Bridget Tripp, Jacy Kubik, Carol A. Casey, Paul Thomes, and Robert Powers. "Multiomics Approach Captures Hepatic Metabolic Network Altered by Chronic Ethanol Administration." Biology 12, no. 1 (2022): 28. http://dx.doi.org/10.3390/biology12010028.

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Using a multiplatform and multiomics approach, we identified metabolites, lipids, proteins, and metabolic pathways that were altered in the liver after chronic ethanol administration. A functional enrichment analysis of the multiomics dataset revealed that rats treated with ethanol experienced an increase in hepatic fatty acyl content, which is consistent with an initial development of steatosis. The nuclear magnetic resonance spectroscopy (NMR) and liquid chromatography–mass spectrometry (LC-MS) metabolomics data revealed that the chronic ethanol exposure selectively modified toxic substances

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Austin, Brittany K., Ali Firooz, Homayoun Valafar, and Anna V. Blenda. "An Updated Overview of Existing Cancer Databases and Identified Needs." Biology 12, no. 8 (2023): 1152. http://dx.doi.org/10.3390/biology12081152.

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Our search of existing cancer databases aimed to assess the current landscape and identify key needs. We analyzed 71 databases, focusing on genomics, proteomics, lipidomics, and glycomics. We found a lack of cancer-related lipidomic and glycomic databases, indicating a need for further development in these areas. Proteomic databases dedicated to cancer research were also limited. To assess overall progress, we included human non-cancer databases in proteomics, lipidomics, and glycomics for comparison. This provided insights into advancements in these fields over the past eight years. We also a

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Wood, Paul L., Annie Le, and Dominic L. Palazzolo. "Comparative Lipidomics of Oral Commensal and Opportunistic Bacteria." Metabolites 14, no. 4 (2024): 240. http://dx.doi.org/10.3390/metabo14040240.

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The oral cavity contains a vast array of microbes that contribute to the balance between oral health and disease. In addition, oral bacteria can gain access to the circulation and contribute to other diseases and chronic conditions. There are a limited number of publications available regarding the comparative lipidomics of oral bacteria and fungi involved in the construction of oral biofilms, hence our decision to study the lipidomics of representative oral bacteria and a fungus. We performed high-resolution mass spectrometric analyses (<2.0 ppm mass error) of the lipidomes from five Gram-

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Moran, L. J., P. A. Mundra, H. J. Teede, and P. J. Meikle. "The association of the lipidomic profile with features of polycystic ovary syndrome." Journal of Molecular Endocrinology 59, no. 1 (2017): 93–104. http://dx.doi.org/10.1530/jme-17-0023.

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Polycystic ovary syndrome (PCOS) affects up to 18% of reproductive-aged women with reproductive and metabolic complications. While lipidomics can identify associations between lipid species and metabolic diseases, no research has examined the association of lipid species with the pathophysiological features of PCOS. The aim of this study was to examine the lipidomic profile in women with and without PCOS. This study was a cross-sectional study in 156 age-matched pre-menopausal women (18–45 years, BMI >20 kg/m2; n = 92 with PCOS, n = 64 without PCOS). Outcomes included the association betwee

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Joob, Beuy, and Viroj Wiwanitkit. "Common and different lipidomes for lung cancer and tuberculosis: A comparative lipidomics analysis." Biomedical and Biotechnology Research Journal (BBRJ) 3, no. 4 (2019): 233. http://dx.doi.org/10.4103/bbrj.bbrj_36_19.

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Han, Xianlin, Kui Yang, and Richard W. Gross. "Multi-dimensional mass spectrometry-based shotgun lipidomics and novel strategies for lipidomic analyses." Mass Spectrometry Reviews 31, no. 1 (2011): 134–78. http://dx.doi.org/10.1002/mas.20342.

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Mouskeftara, Thomai, Olga Deda, Grigorios Papadopoulos, Antonios Chatzigeorgiou, and Helen Gika. "Lipidomic Analysis of Liver and Adipose Tissue in a High-Fat Diet-Induced Non-Alcoholic Fatty Liver Disease Mice Model Reveals Alterations in Lipid Metabolism by Weight Loss and Aerobic Exercise." Molecules 29, no. 7 (2024): 1494. http://dx.doi.org/10.3390/molecules29071494.

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Detailed investigation of the lipidome remodeling upon normal weight conditions, obesity, or weight loss, as well as the influence of physical activity, can help to understand the mechanisms underlying dyslipidemia in metabolic conditions correlated to the emergence and progression of non-alcoholic fatty liver disease (NAFLD). C57BL/6 male mice were fed a normal diet (ND) or a high-fat diet (HFD) for 20 weeks. Subgroups within the high-fat diet (HFD) group underwent different interventions: some engaged in exercise (HFDex), others were subjected to weight loss (WL) by changing from the HFD to

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Belhaj, Mehdi R., Nathan G. Lawler, and Nolan J. Hoffman. "Metabolomics and Lipidomics: Expanding the Molecular Landscape of Exercise Biology." Metabolites 11, no. 3 (2021): 151. http://dx.doi.org/10.3390/metabo11030151.

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Dynamic changes in circulating and tissue metabolites and lipids occur in response to exercise-induced cellular and whole-body energy demands to maintain metabolic homeostasis. The metabolome and lipidome in a given biological system provides a molecular snapshot of these rapid and complex metabolic perturbations. The application of metabolomics and lipidomics to map the metabolic responses to an acute bout of aerobic/endurance or resistance exercise has dramatically expanded over the past decade thanks to major analytical advancements, with most exercise-related studies to date focused on ana

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Tokuoka, Suzumi M., Yoshihiro Kita, Masaya Sato, Takao Shimizu, Yutaka Yatomi, and Yoshiya Oda. "Development of Tandem Mass Tag Labeling Method for Lipid Molecules Containing Carboxy and Phosphate Groups, and Their Stability in Human Serum." Metabolites 11, no. 1 (2020): 19. http://dx.doi.org/10.3390/metabo11010019.

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In clinical lipidomics, it is a challenge to measure a large number of samples and to reproduce the quantitative results. We expanded the range of application of the tandem mass tag (TMT) method, which is widely used in proteomics, to lipidomic fields. There are various types of lipid molecule, for example, eicosanoids have a carboxyl group and phosphatidic acid has a phosphate group. We modified these functional groups simultaneously with TMT. This approach allows for a single analysis by mixing six samples and using one of the six samples as a bridging sample; the quantitative data can be ea

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Paul, Antoni, Todd A. Lydic, Ryan Hogan, and Young-Hwa Goo. "Cholesterol Acceptors Regulate the Lipidome of Macrophage Foam Cells." International Journal of Molecular Sciences 20, no. 15 (2019): 3784. http://dx.doi.org/10.3390/ijms20153784.

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Arterial foam cells are central players of atherogenesis. Cholesterol acceptors, apolipoprotein A-I (apoA-I) and high-density lipoprotein (HDL), take up cholesterol and phospholipids effluxed from foam cells into the circulation. Due to the high abundance of cholesterol in foam cells, most previous studies focused on apoA-I/HDL-mediated free cholesterol (FC) transport. However, recent lipidomics of human atherosclerotic plaques also identified that oxidized sterols (oxysterols) and non-sterol lipid species accumulate as atherogenesis progresses. While it is known that these lipids regulate exp

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Li, Na, Long Xu, Hongbo Li, Zhenbin Liu, Haizhen Mo, and Yue Wu. "UPLC-Q-Exactive Orbitrap-MS-Based Untargeted Lipidomic Analysis of Lipid Molecular Species in Spinal Cords from Different Domesticated Animals." Foods 12, no. 19 (2023): 3634. http://dx.doi.org/10.3390/foods12193634.

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Lipids are crucial components for the maintenance oof normal structure and function in the nervous system. Elucidating the diversity of lipids in spinal cords may contribute to our understanding of neurodevelopment. This study comprehensively analyzed the fatty acid (FA) compositions and lipidomes of the spinal cords of eight domesticated animal species: pig, cattle, yak, goat, horse, donkey, camel, and sika deer. Gas chromatography–mass spectrometry (GC-MS) analysis revealed that saturated fatty acids (SFAs) and monounsaturated fatty acids (MUFAs) were the primary FAs in the spinal cords of t

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Bastonini, Emanuela, Daniela Kovacs, Vittoria Maresca, et al. "Lipidome Complexity in Physiological and Pathological Skin Pigmentation." International Journal of Molecular Sciences 26, no. 14 (2025): 6785. https://doi.org/10.3390/ijms26146785.

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Skin pigmentation results from complex cellular interactions and is influenced by genetic, environmental, and metabolic factors. Emerging evidence highlights the multiple pathways by which lipids regulate melanogenesis and points to lipid metabolism and signaling as key players in this process. Lipidomics is a high-throughput omics approach that enables detailed characterization of lipid profiles, thus representing a valid tool for evaluating skin lipid functional role in both physiological melanogenesis and pigmentary disorders. The use of lipidomics to gain a deeper comprehension of the role

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