Palmitic and Stearic Free Fatty Acids Are Consistently Found in Materials used for Dried Blood Spot Collection
Notice bibliographique
Résumé
Background Dried blood spotting has been used to collect samples for fatty acid analysis, particularly when access to analytical laboratories or ultra‐cold storage is limited. However, the materials used to collect dried blood spots are often contaminated with lipids and/or fatty acids. Objective To measure background/containment fatty acid and lipids on materials used to collect dried blood spots. Methods Three materials used for dried blood spot collection that included 903 protein saver cards (Fischer Scientific, St. Louis, USA), chromatography paper cut into strips (Analtech Inc., Newark, DE), and novel Mitra Microsamplers (Neoteryx, California, USA). Blank collection materials as purchased were handled with nitrile gloves and preexisting lipids were extracted using 2:1 chloroform:methanol (v/v) solution. Lipid extracts were divided into two, with one portion for gas chromatography (GC) analysis of fatty acids and the other portion for lipidomic analyses using ultra‐high performance liquid chromatography coupled with tandem mass spectrometry (UHPLC‐MS/MS) in a quadrupole‐orbitrap system (Q‐Exactive, Thermo Scientific, New York, USA). Fatty acid methyl esters were prepared for GC analysis by direct transesterification of the lipid extracts using boron trifluoride. Lipid extracts were dried and re‐suspended in 65:35:5 acetonitrile:isopropanol:water + 0.1% formic acid and analyzed using a 47‐minute reversed‐phase UHPLC multi‐step binary protocol with top‐5 data dependent MS/MS acquisition. Samples were run twice, once under positive ESI‐MS/MS and once under negative ESI‐MS/MS to enable the identification of compounds that preferentially ionize with different polarities. Results GC analysis identified 0.64±0.05 μg of palmitic acid (C16:0) and 0.88±0.04 μg stearic acid (C18:0) per 6mm punch from 903 protein saver cards, 0.97±0.08 μg 16:0 and 1.43±0.16 μg 18:0 per 6mm punch of Whatman chromatography paper and 0.64±0.08 μg 16:0 and 0.88±0.10 μg 18:0 per Mitra tip. In the positive ESI‐MS/MS analyses, scanning for fragment losses of phospholipids (choline, ethanolamine, serine head groups) did not result in extracted ion chromatograms that would indicate that these compounds were present. Neutral‐loss scanning of fatty acids like palmitate and stearate in positive ESI also showed no evidence of other complex lipids such as triacylglycerols or cholesteryl esters in the blank samples. However, negative ESI‐MS/MS experiments confirmed that the palmitate and stearate that were identified using GC are found as free fatty acids and not as part of complex lipids. Conclusions Materials used to collect dried blood spots appear consistently contaminated with palmitic and stearic free fatty acids. GC determinations of fatty acids from dried blood spots samples need to consider this contamination and/or take steps to prewash sample collecting materials. For lipidomic analysis, these contaminants can be ignored if complex lipids and not free fatty acids are being examined. Support or Funding Information This work was supported by a Natural Sciences and Engineering Research Council (NSERC) Discovery grant (327149, to K.D.S), and an NSERC doctoral scholarship to J.J.A.H. K.D.S. is also supported by a Canada Research Chair in Nutritional Lipidomics.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
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