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Unveiling the lipidomic profile of aerial plant and seed of the halophyte Suaeda albescens and their bioactive properties for food and nutraceutical applications

Unveiling the lipidomic profile of aerial plant and seed of the halophyte Suaeda albescens and their bioactive properties for food and nutraceutical applications

June 17, 2025

Marisa Pinho, Francisca Marques, Inês M. S. Guerra, Ana Moreira, Tânia Melo, Stefano Bonciarelli, Laura Goracci, Pedro Domingues, Ana I. Lillebø, Javier Cremades, M. Rosário Domingues

Abstract

Halophytes are gaining popularity as healthy food due to their nutritional value, as a source of essential fatty acids (FA), and various bioactive compounds. This study aimed to characterize the lipidome of the mature and green aerial parts, as well as seeds of Suaeda albescens, and evaluate the bioactivity of their lipid extracts. Plants had lower lipid content (1.29–1.45 mg/100 mg DW) than seeds (7.80 mg/100 mg DW). Triacylglycerols accounted for 70 % of seed lipids, whereas glycolipids and phospholipids constituted 70 % of plant lipids. Lipidomic analysis identified 206 lipid species belonging to different phospholipids, glycolipids and triglycerides, with large numbers of them esterified with n–6 and n–3 FA, including the most abundant FA 18:2n–6 and FA 18:3n–3. Changes in the profile of phospholipids and glycolipids distinguished the maturation stages, whereas triacyclglycerols differentiated plant from seed. Both plant and seed extracts exhibited antioxidant and anti-inflammatory properties, establishing S. albescens as a potential source of health-promoting lipids.

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Lipidomic Profiling of Red Blood Cells in the Mitochondrial Fatty Acid β-oxidation Disorder MCADD Reveals Phospholipid and Sphingolipid Dysregulation

Lipidomic Profiling of Red Blood Cells in the Mitochondrial Fatty Acid β-oxidation Disorder MCADD Reveals Phospholipid and Sphingolipid Dysregulation

July 24, 2025

Inês M. S. Guerra, Helena B. Ferreira, Luísa Diogo, Sónia Moreira, Stefano Bonciarelli, Laura Goracci, Tânia Melo, Pedro Domingues, M. Rosário Domingues, Ana S. P. Moreira

Abstract

Medium-chain acyl-CoA dehydrogenase deficiency (MCADD) is characterized by the accumulation of medium-chain acylcarnitines. Despite the therapeutic approach, changes in lipid homeostasis have been reported in MCADD plasma samples. Compared to plasma lipidomics, red blood cell (RBC) profiling provides a more stable biomarker that is less influenced by dietary changes and reflects long-term metabolic alterations. In this study, we assessed the plasticity of the lipidomic profile of RBC from children with MCADD and controls using C18 liquid chromatography–mass spectrometry. The results revealed significant alterations in 240 lipid species in MCADD, highlighting an upregulation of sphingolipids (sphingomyelins and ceramides) and lysophospholipid species (lysophosphatidylcholines and lysophosphatidylethanolamines) alongside a downregulation of polyunsaturated and ether-linked phosphatidylcholines (PCs) and phosphatidylethanolamines (PEs). Also, altered PC/PE and (PC + SM)/(PE + PS) ratios could be associated with alterations in RBC membranes properties, e.g., fluidity and asymmetry. The observed changes in the lipidome suggest compromised antioxidant defenses, enhanced oxidative stress, and an inflammatory state, with potential systemic implications in MCADD lipid metabolism and long-term complications in older age. This study underscores the utility of RBC lipidomics as a robust tool for understanding the pathophysiology of MCADD. It may prove to be a useful tool for monitoring disease progression in the near future.

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Rediscovering Halophyte Suaeda maritima as an Alternative crop for Food Lipids Through Aquaponic Cultivation and Lipidomics analysis

Rediscovering Halophyte Suaeda maritima as an Alternative crop for Food Lipids Through Aquaponic Cultivation and Lipidomics analysis

September 24, 2025

Marisa Pinho, Ana S. P. Moreira, Erika García Cardesín, Alexandra Pérez-González, David Gómez-Carnota, Bruna B. Neves, Stefano Bonciarelli, Laura Goracci, Tânia Melo, Pedro Domingues, Ana I. Lillebø, Javier Cremades, M. Rosário Domingues

Abstract

Halophytes are gaining recognition for their resilience and nutritional properties. Salicornia is widely consumed in Western countries. Other species like Suaeda genus have long-standing medicinal and culinary uses but remain underexplored. They can thrive in saline environments and aquaculture. Aquaponic cultivation, which can valorize aquaculture effluents and be integrated into IMTA-RAS systems, is a soil-free method that optimizes biomass and biochemical composition while reducing land and freshwater use. This study evaluated the benefits of aquaponically cultivating S. maritima, focusing on biomass yield and lipid composition. Lipidome profiling of aerial organs was conducted with LC-MS/MS and GC-MS. Biomass fresh weight increased significantly from 0.74 to 216 mg after 8-weeks of cultivation. Seventeen FA were identified, including essential FA18:2n-6 and FA18:3n-3, more abundant in aquaponic samples. Lipidomic analysis revealed 448 lipid species, including glycerophospholipids, glycolipids, acylglycerols, sphingolipids, sterol lipids, and prenol lipids. Aquaponic samples exhibited higher levels of PUFA-rich glycolipids, associated with anti-inflammatory properties, and wild samples containing more sphingolipids and acylglycerols. Glycerophospholipid profiles varied between 4- and 8-weeks. Aquaponic cultivated biomass have a more stable lipid composition than biomass collected from wild. These findings suggests aquaponic cultivation is a valuable technique for stable lipid composition, enhancing its potential as a sustainable food source.

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Lipidomics‐Guided Ultrasound‐Assisted Ethanol Extraction of Avocado Pulp and Evaluation of Bioactive Properties

Lipidomics‐Guided Ultrasound‐Assisted Ethanol Extraction of Avocado Pulp and Evaluation of Bioactive Properties

September 30, 2025

Bruna B. Neves, Rita Pais, Joana Batista, Marisa Pinho, Tatiana Maurício, Stefano Bonciarelli, Laura Goracci, Bruno Neves, Pedro Domingues, M. Rosário Domingues, Tânia Melo

Abstract

Avocados are a valuable source of lipids with potential applications in food, nutraceutical, and cosmetic products, all requiring food-grade and environmentally friendly extraction methods. Though often enjoyed fresh, avocado pulp is also processed for oil. However, conventional extraction techniques can compromise pulp lipid composition, triggering the need for alternative methods that preserve pulp lipid integrity and meet industrial sustainability standards. Ultrasound probe-assisted extraction using ethanol, a green solvent, could be a sustainable alternative to extract lipids from avocado pulp. In the present study, lipid profiles from Hass Portuguese avocado pulp were characterized using C18 reversed-phase HPLC-MS/MS, and their biological activities were evaluated. Folch-like extraction was employed as a benchmark for comparison. Untargeted lipidomics profiling revealed over 100 lipid species across polar and neutral classes, with triacylglycerides enriched in essential polyunsaturated fatty acids. Ultrasound-assisted ethanol extraction achieved ≈70% lipid purity and yielded a lipid composition comparable to that of the conventional method. Notably, green pulp extract exhibited significant bioactivity, including moderate antioxidant activity and powerful anti-inflammatory effects, inhibiting COX-2 and reducing nitric oxide levels at low concentrations. These findings support the use of ultrasound-assisted ethanol extraction as an efficient and sustainable strategy for obtaining bioactive compounds from avocado pulp, reinforcing its potential incorporation into high-value or even new formulations.

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The LambdaGap Framework for Precision-Oriented Ranking

The LambdaGap Framework for Precision-Oriented Ranking

June 16, 2025

Ramon Adàlia, Gemma Sanjuan, Tomàs Margalef, Ismael Zamora

Abstract

LambdaRank has proven effective for optimizing information retrieval metrics such as Normalized Discounted Cumulative Gain (NDCG). However, its application to Precision at document k (P@k) poses significant challenges because of the metric’s unique definition, which heavily restricts the number of effective training document pairs. This limitation diminishes the learning signal for relevant documents beyond the top k, potentially resulting in suboptimal performance. To overcome this, we propose LambdaGap, a ranking algorithm inspired by LambdaRank specifically tailored for optimizing P@k. LambdaGap replaces the pairwise weighting scheme in LambdaRank by one where pairs of documents within k positions in the ranking are masked out. We establish a theoretical link between LambdaGap and P@k by identifying the implicit metric optimized by the model. Furthermore, we introduce a new metric, Average Relevance Position beyond document k, which can be used in conjunction with LambdaRank to indirectly optimize for P@k. Our extensive experiments on publicly available datasets demonstrate the effectiveness of the proposed methods, yielding statistically significant improvements in P@k performance and highlighting their potential for more efficient training.

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