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Metabolites
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Advances in Lipidomics: Biomedicine, Nutrition and Methodology Volume 2
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Advances in Lipidomics: Biomedicine, Nutrition and Methodology Volume 2

A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Lipid Metabolism".

Deadline for manuscript submissions: closed (30 April 2022) | Viewed by 6872

Special Issue Editors

Dr. Olimpio Montero

E-Mail Website
Guest Editor
Instituto de Biomedicina y Genética Molecular de Valladolid (IBGM), Spanish National Research Council (CSIC), 47003 Valladolid, Spain
Interests: lipidomics; metabolimics; mass spectrometry; chromatography
Special Issues, Collections and Topics in MDPI journals
Dr. David Balgoma

E-Mail Website
Guest Editor
Analytical Pharmaceutical Chemistry, Department of Medicinal Chemistry, University of Uppsala, Uppsala, Sweden
Interests: lipid metabolism; lipogenesis; lipidomics; mass spectrometry
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Lipidomics, a primary branch of metabolomics, has rapidly developed into a discipline of research of its own. In the last few years, lipidomics has arisen as a key research tool by means of technical developments that have led to robust evidence of lipid reprogramming in disease and nutrition. New methodological developments are still of key importance in sample preparation, sample analysis, and data pre-processing. These developments will translate into discoveries in the fields of biomedicine and nutrition.

After a successful edition of a first volume of this Special Issue, entitled Advances in Lipidomics: Biomedicine, Nutrition and Methodology, we are motivated to edit a second volume. Once again, in this Volume 2, researchers from the lipidomics field are encouraged to submit manuscripts concerning both targeted and untargeted lipid profiling and physiology. Both hypothesis driven and non-hypothesis driven studies are also welcome. In particular, original studies and reviews that focus on applications of biomedicine and nutrition are preferred. Original studies and reviews that delve into a broad range of methodological advances including instrumentation, sample preparation and workflows, data processing and analysis, and databases are also especially welcome.

Dr. Olimpio Montero
Dr. David Balgoma
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Metabolites is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Lipids
  • Lipidomics
  • Lipidome
  • Mass spectrometry (MS)
  • Data processing and analysis
  • Biomedicine
  • Nutrition
  • Nuclear Magnetic Resonance (NMR)

Published Papers (3 papers)

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Research

17 pages, 2560 KiB  
Article
Impacts of Formula Supplemented with Milk Fat Globule Membrane on the Neurolipidome of Brain Regions of Piglets
by Karl Fraser, Leigh Ryan, Ryan N. Dilger, Kelly Dunstan, Kelly Armstrong, Jason Peters, Hedley Stirrat, Neill Haggerty, Alastair K. H. MacGibbon, James Dekker, Wayne Young and Nicole C. Roy
Metabolites 2022, 12(8), 689; https://0-doi-org.brum.beds.ac.uk/10.3390/metabo12080689 - 26 Jul 2022
Cited by 9 | Viewed by 1939
Abstract
The milk fat globule membrane (MFGM) appears to play an important role in infant neurocognitive development; however, its mechanism(s) of action remains unclear. This study aimed to investigate the role of a dietary MFGM supplement on the lipid profiles of different neonatal brain [...] Read more.
The milk fat globule membrane (MFGM) appears to play an important role in infant neurocognitive development; however, its mechanism(s) of action remains unclear. This study aimed to investigate the role of a dietary MFGM supplement on the lipid profiles of different neonatal brain regions. Ten-day-old male piglets (4–5 kg) were fed unsupplemented infant formula (control, n = 7) or an infant formula supplemented with low (4%) or high (8%) levels of MFGM (n = 8 each) daily for 21 days. Piglets were then euthanized, and brain tissues were sectioned. Untargeted liquid chromatography-mass spectrometry lipidomics was performed on the cerebellum, hippocampus, prefrontal cortex, and the rest of the brain. The analyses identified 271 and 171 lipids using positive and negative ionization modes, respectively, spanning 16 different lipid classes. MFGM consumption did not significantly alter the lipidome in most brain regions, regardless of dose, compared to the control infant formula. However, 16 triacylglyceride species were increased in the hippocampus (t-test, p-value < 0.05) of the high-supplemented piglets. Most lipids (262 (96.7%) and 160 (93.6%), respectively) differed significantly between different brain regions (ANOVA, false discovery rate corrected p-value < 0.05) independent of diet. Thus, this study highlighted that dietary MFGM altered lipid abundance in the hippocampus and detected large differences in lipid profiles between neonatal piglet brain regions. Full article
(This article belongs to the Special Issue Advances in Lipidomics: Biomedicine, Nutrition and Methodology Volume 2)
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17 pages, 4160 KiB  
Article
Ammonia Concentration in the Eluent Influences Fragmentation Pattern of Triacylglycerols in Mass Spectrometry Analysis
by Marta Velasco, David Balgoma and Olimpio Montero
Metabolites 2022, 12(5), 452; https://0-doi-org.brum.beds.ac.uk/10.3390/metabo12050452 - 18 May 2022
Viewed by 1967
Abstract
Correct assessment of the fatty acyl at the glycerol sn-2 position in triacylglycerol (TAG) analysis by liquid chromatography and mass spectrometry (LC-MS) is challenging. Ammonium hydroxide (NH4OH) is the preferred choice for the solvent additive for the formation of the [...] Read more.
Correct assessment of the fatty acyl at the glycerol sn-2 position in triacylglycerol (TAG) analysis by liquid chromatography and mass spectrometry (LC-MS) is challenging. Ammonium hydroxide (NH4OH) is the preferred choice for the solvent additive for the formation of the ammonium adduct ([M + NH4]+). In this study, the influence of different NH4OH concentrations in the eluents on TAG adduct formation and fragmentation under LC-MS analysis was assessed. Increasing NH4OH concentrations delayed the chromatographic elution time according to a power function. The [M + NH4]+ and [M + ACN + NH4]+ adducts (where ACN means acetonitrile) were formed at all ammonium concentrations assayed. [M + ACN + NH4]+ predominated above 18.26 mM [NH4OH], and the intensity of [M + NH4]+ dropped. TAG fragmentation for fatty acyl release in the MSE was reduced with increasing [M + ACN + NH4]+ adduct, which suggests that ACN stabilizes the adduct in a way that inhibits the rupture of the ester bonds in TAGs. A linear equation (Hsn-I = a × H[M+NH4]+, where sn-I refers to the sn position of the glycerol (I = 1, 2, or 3) and H is the peak height) was deduced to quantify the dehydroxydiacylglycerol fragment intensity in relation to [M + NH4]+ intensity in the full scan. This equation had a slope mean value of 0.369 ± 0.058 for the sn-1 and sn-3 positions, and of 0.188 ± 0.007 for the sn-2 position. Full article
(This article belongs to the Special Issue Advances in Lipidomics: Biomedicine, Nutrition and Methodology Volume 2)
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12 pages, 471 KiB  
Article
Association of Dietary Nutrient Intake with Early Age-Related Macular Degeneration in Japanese-Americans
by Ayaka Edo, Yunialthy Dwia Pertiwi, Kazuyuki Hirooka, Shun Masuda, Muhammad Irfan Kamaruddin, Masahide Yanagi, Akiko Nagao, Haruya Ohno, Masayasu Yoneda and Yoshiaki Kiuchi
Metabolites 2021, 11(10), 673; https://0-doi-org.brum.beds.ac.uk/10.3390/metabo11100673 - 30 Sep 2021
Cited by 4 | Viewed by 1972
Abstract
Lifestyle factors may be associated with the development of age-related macular degeneration (AMD), in addition to demographic and genetic factors. The purpose of this cross-sectional study is to elucidate the association between nutrient intake and AMD in the Japanese-American population living in Los [...] Read more.
Lifestyle factors may be associated with the development of age-related macular degeneration (AMD), in addition to demographic and genetic factors. The purpose of this cross-sectional study is to elucidate the association between nutrient intake and AMD in the Japanese-American population living in Los Angeles. We conducted a medical survey of Japanese immigrants and their descendants living in Los Angeles, including interviews on dietary habits, fundus photography, and physical examinations. Participants were classified into early AMD and control groups on the basis of fundus photographic findings. Consequently, among the 555 participants, 111 (20.0%) were diagnosed with early AMD. There were no late-stage AMD participants. Multivariate logistic regression analysis showed that the intake of animal fat and saturated fatty acids (SFA) was positively associated with early AMD (p for trend = 0.01 for animal fat, p for trend = 0.02 for SFA), and the intake of vegetable fat, total carbohydrate, simple carbohydrate, sugar, and fructose was inversely associated with early AMD (p for trend = 0.04 for vegetable fat, p for trend = 0.046 for carbohydrate, p for trend = 0.03 for simple carbohydrate, p for trend = 0.046 for sugar, p for trend = 0.02). Our findings suggest that excessive animal fat and SFA intake increases the risk for early AMD in Japanese-Americans whose lifestyles have been westernized. Full article
(This article belongs to the Special Issue Advances in Lipidomics: Biomedicine, Nutrition and Methodology Volume 2)
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