{"entity": "journal", "iuid": "29a63d28363d4cbfbde0ce2ea2ab27ee", "timestamp": "2026-08-12T05:37:46.403Z", "links": {"self": {"href": "https://publications.scilifelab.se/journal/Front%20Nutr.json"}, "display": {"href": "https://publications.scilifelab.se/journal/Front%20Nutr"}}, "title": "Front Nutr", "issn": "2296-861X", "issn-l": null, "publications_count": 2, "publications": [{"entity": "publication", "iuid": "6ac23ef3babd4691bc4b054aa6df694b", "links": {"self": {"href": "https://publications.scilifelab.se/publication/6ac23ef3babd4691bc4b054aa6df694b.json"}, "display": {"href": "https://publications.scilifelab.se/publication/6ac23ef3babd4691bc4b054aa6df694b"}}, "title": "Dietary biomarkers and food records indicate compliance to study diets in the ADIRA (Anti-inflammatory Diet In Rheumatoid Arthritis) trial.", "authors": [{"family": "Wadell", "given": "Anna Turesson", "initials": "AT"}, {"family": "B\u00e4rebring", "given": "Linnea", "initials": "L"}, {"family": "Hulander", "given": "Erik", "initials": "E"}, {"family": "Gjertsson", "given": "Inger", "initials": "I"}, {"family": "Landberg", "given": "Rikard", "initials": "R"}, {"family": "Lindqvist", "given": "Helen", "initials": "H"}, {"family": "Winkvist", "given": "Anna", "initials": "A"}], "type": "journal article", "published": "2023-06-22", "journal": {"title": "Front Nutr", "issn": "2296-861X", "volume": "10", "pages": "1209787", "issn-l": null}, "abstract": "In the ADIRA (Anti-inflammatory Diet In Rheumatoid arthritis) trial, compliance to the study diets has previously been described primarily with a score based on reported intake of trial foods from telephone interviews. The aim of this study was to evaluate compliance using objective dietary biomarkers for whole grain, fruit and vegetables, margarine and oil, seafood and overall fat quality, as well as reported intake from food records of key components of the study diets.\n\nFifty patients with rheumatoid arthritis were randomized to begin with the intervention diet (rich in whole grain, fruit and vegetables, margarine/oil and seafood) or the control diet (rich in meat and high-fat dairy) for 10 weeks, followed by a ~ 4 months wash-out period, and then switched diet. Compliance was evaluated using plasma alkylresorcinols (AR) as biomarkers for intake of whole grain wheat and rye, serum carotenoids for fruit and vegetables, plasma linoleic acid (LA, 18:2 n-6) and -\u03b1-linolenic acid (18:3, n-3) for margarine and cooking oil, plasma eicosapentaenoic acid (EPA, 20:5 n-3), -docosahexaenoic acid (DHA 22:6, n-3) and -docosapentaenoic acid (22:5 n-3) for seafood, and plasma fatty acid pattern for the overall dietary fat quality. Reported intake of whole grain, fruit, berries and vegetables, seafood, red meat, and fat quality was extracted from 3-d food records.\n\nPlasma AR C21:0 and C23:0, LA, EPA, and DHA were higher while total serum carotenoids were lower after the intervention diet period compared to the control diet period (AR and carotenoids: p = <0.05, fatty acids: p = <0.001). Reported intake of whole grain, fruit, berries and vegetables, and seafood was higher and reported intake of red meat was lower during the intervention diet period compared to the control diet period (p = <0.001). Plasma- and reported fatty acid pattern differed as intended between the diet periods.\n\nThis study indicates that the participants in the ADIRA trial were compliant to the study diets regarding intake of whole grain, cooking fat, seafood, and red meat, and the intended overall dietary fat quality. Compliance to instructions on fruit- and vegetable intake remains uncertain.\n\nhttps://clinicaltrials.gov/ct2/show/NCT02941055?term=NCT02941055&draw=2&rank=1, NCT02941055.", "doi": "10.3389/fnut.2023.1209787", "pmid": "37426179", "labels": {"Chalmers Mass Spectrometry Infrastructure": "Collaborative"}, "xrefs": [{"db": "pmc", "key": "PMC10325030"}, {"db": "ClinicalTrials.gov", "key": "NCT02941055"}], "notes": [], "created": "2023-12-05T06:19:41.631Z", "modified": "2024-01-10T14:29:43.800Z"}, {"entity": "publication", "iuid": "69d772ae4a56406d9c2e84904d6ed57d", "links": {"self": {"href": "https://publications.scilifelab.se/publication/69d772ae4a56406d9c2e84904d6ed57d.json"}, "display": {"href": "https://publications.scilifelab.se/publication/69d772ae4a56406d9c2e84904d6ed57d"}}, "title": "Vegan Diet Is Associated With Favorable Effects on the Metabolic Performance of Intestinal Microbiota: A Cross-Sectional Multi-Omics Study.", "authors": [{"family": "Prochazkova", "given": "Magdalena", "initials": "M"}, {"family": "Budinska", "given": "Eva", "initials": "E"}, {"family": "Kuzma", "given": "Marek", "initials": "M"}, {"family": "Pelantova", "given": "Helena", "initials": "H"}, {"family": "Hradecky", "given": "Jaromir", "initials": "J"}, {"family": "Heczkova", "given": "Marie", "initials": "M"}, {"family": "Daskova", "given": "Nikola", "initials": "N"}, {"family": "Bratova", "given": "Miriam", "initials": "M"}, {"family": "Modos", "given": "Istvan", "initials": "I"}, {"family": "Videnska", "given": "Petra", "initials": "P"}, {"family": "Splichalova", "given": "Petra", "initials": "P"}, {"family": "Sowah", "given": "Solomon A", "initials": "SA"}, {"family": "Kralova", "given": "Maria", "initials": "M"}, {"family": "Henikova", "given": "Marina", "initials": "M"}, {"family": "Selinger", "given": "Eliska", "initials": "E"}, {"family": "Klima", "given": "Krystof", "initials": "K"}, {"family": "Chalupsky", "given": "Karel", "initials": "K"}, {"family": "Sedlacek", "given": "Radislav", "initials": "R"}, {"family": "Landberg", "given": "Rikard", "initials": "R"}, {"family": "K\u00fchn", "given": "Tilman", "initials": "T"}, {"family": "Gojda", "given": "Jan", "initials": "J"}, {"family": "Cahova", "given": "Monika", "initials": "M"}], "type": "journal article", "published": "2022-01-07", "journal": {"title": "Front Nutr", "issn": "2296-861X", "issn-l": null, "volume": "8", "issue": null, "pages": "783302"}, "abstract": "Background and Aim: Plant-based diets are associated with potential health benefits, but the contribution of gut microbiota remains to be clarified. We aimed to identify differences in key features of microbiome composition and function with relevance to metabolic health in individuals adhering to a vegan vs. omnivore diet. Methods: This cross-sectional study involved lean, healthy vegans (n = 62) and omnivore (n = 33) subjects. We assessed their glucose and lipid metabolism and employed an integrated multi-omics approach (16S rRNA sequencing, metabolomics profiling) to compare dietary intake, metabolic health, gut microbiome, and fecal, serum, and urine metabolomes. Results: The vegans had more favorable glucose and lipid homeostasis profiles than the omnivores. Long-term reported adherence to a vegan diet affected only 14.8% of all detected bacterial genera in fecal microbiome. However, significant differences in vegan and omnivore metabolomes were observed. In feces, 43.3% of all identified metabolites were significantly different between the vegans and omnivores, such as amino acid fermentation products p-cresol, scatole, indole, methional (lower in the vegans), and polysaccharide fermentation product short- and medium-chain fatty acids (SCFAs, MCFAs), and their derivatives (higher in the vegans). Vegan serum metabolome differed markedly from the omnivores (55.8% of all metabolites), especially in amino acid composition, such as low BCAAs, high SCFAs (formic-, acetic-, propionic-, butyric acids), and dimethylsulfone, the latter two being potential host microbiome co-metabolites. Using a machine-learning approach, we tested the discriminative power of each dataset. Best results were obtained for serum metabolome (accuracy rate 91.6%). Conclusion: While only small differences in the gut microbiota were found between the groups, their metabolic activity differed substantially. In particular, we observed a significantly different abundance of fermentation products associated with protein and carbohydrate intakes in the vegans. Vegans had significantly lower abundances of potentially harmful (such as p-cresol, lithocholic acid, BCAAs, aromatic compounds, etc.) and higher occurrence of potentially beneficial metabolites (SCFAs and their derivatives).", "doi": "10.3389/fnut.2021.783302", "pmid": "35071294", "labels": {"Chalmers Mass Spectrometry Infrastructure": "Service"}, "xrefs": [{"db": "pmc", "key": "PMC8777108"}], "notes": [], "created": "2022-12-05T08:22:54.265Z", "modified": "2023-04-13T09:05:09.025Z"}], "created": "2022-12-05T08:22:54.283Z", "modified": "2022-12-05T08:22:54.283Z"}