Results 101 to 110 of about 23,923 (256)

Rare‐Variant Burden across Lysosomal Genes Implicates Sialylation and Ganglioside Metabolism in Parkinson's Disease

Movement Disorders, EarlyView.
Abstract Background Lysosomal dysfunction is central to Parkinson's disease (PD) pathogenesis, with GBA1 representing the strongest established genetic risk factor. Numerous other genes involved in lysosomal sphingolipid, glycosphingolipid, and ceramide metabolism have been proposed as contributors to PD, highlighting the need for genetic analyses ...
Konstantin Senkevich, Sitki Cem Parlar, Cloe Chantereault, Lang Liu, Eric Yu, Uladzislau Rudakou, Jamil Ahmad, Jennifer A. Ruskey, Farnaz Asayesh, Dan Spiegelman, Cheryl Waters, Oury Monchi, Yves Dauvilliers, Nicolas Dupré, Lior Greenbaum, Sharon Hassin‐Baer, Irina Miliukhina, Alla Timofeeva, Anton Emelyanov, Sofya Pchelina, Roy N. Alcalay, Ziv Gan‐Or   +21 more
wiley   +1 more source

lipidomics

Citation: 'lipidomics' in the IUPAC Compendium of Chemical Terminology, 5th ed.; International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.09846 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms.
openaire   +2 more sources

Lipodystrophy and adipose tissue recovery are mediated by the Wnt/lipogenesis axis during skin fibrosis

The Journal of Pathology, EarlyView.
Abstract Acquired lipodystrophy in the dermal white adipose tissue (DWAT) is an early phenotype of skin fibrosis, followed by the accumulation of extracellular matrix (ECM). Lipodystrophy syndromes are estimated to affect 1 in 20,000 people and are associated with metabolic comorbidities.
Suneeti R Madhavan, Piper Moore, Rohan Varshney, Miles Montegut, Qiannan Ma, Kayla Klatt, Reshmi Parameswaran, Elif G Ertugral, Chandrasekhar R Kothapalli, Michael C Rudolph, Radhika P Atit   +10 more
wiley   +1 more source

Predicting the microalgae lipid profile obtained by supercritical fluid extraction using a machine learning model

Frontiers in Chemistry
In this study a Machine Learning model was employed to predict the lipid profile from supercritical fluid extraction (SFE) of microalgae Galdieria sp. USBA-GBX-832 under different temperature (40, 50, 60°C), pressure (150, 250 bar), and ethanol flow (0.6,
Juan David Rangel Pinto, Jose L. Guerrero, Lorena Rivera, María Paula Parada-Pinilla, Mónica P. Cala, Gina López, Andrés Fernando González Barrios   +6 more
doaj   +1 more source

Agricultural and environmental drivers of variation in the composition of food crops: A scoping review

PLANTS, PEOPLE, PLANET, EarlyView.
Agricultural management and environmental conditions influence the biochemical composition of food crops; however, the specific drivers of this variation remain insufficiently understood, despite their importance for climate change adaptation and human health.
Kat Morgan, Teresa Warne, Sahar Toulabi, Fangzhou Li, Amanda Birnbaum, Shawn Ehlers Cheang, Cheng‐Yu Weng, Warangkana Srichamnong, Simab Kanwal, Linda Nana Esi Aduku, Charles Apprey, Kifle Habte Balcha, Herman Erick Lutterodt, Madeleine McGuinness, Bo Wallace, Layla Manoochehri, Alex C. McAlvay, Mary Ann Nunoo, Pearl Boamah Agyekum, Reginald A. Annan, Charlene van Buiten, Mariana Barboza, John de la Parra, Selena Ahmed, Sarah Brinkley   +24 more
wiley   +1 more source

Contemporary Concise Review 2025: Asthma

Respirology, EarlyView.
ABSTRACT Asthma research in 2025 further advanced a multidimensional view of asthma, integrating disease trajectory, exacerbation risk, structural airway changes, comorbidities, and treatment responsiveness. In mild asthma, studies published in 2025 further reinforced the importance of anti‐inflammatory reliever strategies over SABA‐only treatment by ...
Jun Miyata, Koichi Fukunaga
wiley   +1 more source

Osmotic Remodeling of Extracellular Vesicles for Precision Nanomedicine

Small, EarlyView.
Hypotonic lysis in bidistilled water is used to remodel B lymphocyte–derived extracellular vesicles into cargo‐depleted, structurally preserved nanovesicles. The process reduces intraluminal proteins and nucleic acids, reshapes membrane composition, and enhances tumor‐cell uptake in vitro, while allowing proof‐of‐concept reloading with exogenous agents,
Francesca Susa, Lorenzo Arnaboldi, Veronica De Giorgis, Marco Ghirimoldi, Elettra Barberis, Marco Brucale, Francesco Valle, Mario Malerba, Marta Vallino, Angelo Musicò, Roberto Frigerio, Alessandro Gori, Vera Mugoni, Claudia Voena, Roberto Pisano, Fabrizio Pirri, Silvia Arpicco, Marcello Manfredi, Tania Limongi   +18 more
wiley   +1 more source

PFOA Exposure Elicits Quantitative Lipidomic Changes in the Pancreas in a Mouse Model of Pancreatic Cancer

Environmental Toxicology, EarlyView.
ABSTRACT Pancreatic cancer is the fourth leading cause of cancer deaths in the US and predicted to rise to second by 2030. Several risk factors have been identified as potential contributors to pancreatic cancer development including lifestyle factors and long‐term exposure to occupational and environmental carcinogens.
Barbara A. Hocevar, Lisa M. Kamendulis
wiley   +1 more source

Microplastics and the Endocrine–Metabolic Interface: Novel Diagnostic Tools Targeting Thyroid–Adipose Axis

Environmental Toxicology, EarlyView.
ABSTRACT Microplastics (MPs) have been identified as major environmental contaminants that can affect organisms directly and act as carriers of particles and chemical additives, thereby aggravating endocrine networks that coordinate metabolic homeostasis.
Sunday Amos Onikanni, Babasola Aiyeku, Marjorie Dardis Murucci, Temitope Aribigbola, Kenia Bispo, Oluwatosin Stella Olayinka, Rômulo Sperduto Dezonne, Sara Gemini Piperni, Paula Soares, Denise Pires de Carvalho, Leandro Miranda‐Alves   +10 more
wiley   +1 more source

Lipidomics

, 2007
Lipids are hydrophobic or amphiphilic low‐molecular‐weight substances with a low solubility in water. Glycerophospholipids, sphingolipids, and cholesterol are the building blocks of cellular membranes, and triacylglycerols are the major molecular storage forms of metabolic energy.
Farwanah, Hany, Kolter, Thomas
openaire   +1 more source