Metabolomics profiling of Type D personality traits Article Swipe
Ruifang Li‐Gao
,
Mariska Bot
,
Alexander Kurilshikov
,
Gonneke Willemsen
,
Marleen M. J. van Greevenbroek
,
Miranda T. Schram
,
Coen D.A. Stehouwer
,
Jingyuan Fu
,
Alexandra Zhernakova
,
Brenda W.J.H. Penninx
,
Eco J. C. de Geus
,
Marcus Dörr
,
Nina Kupper
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.jpsychores.2024.111994
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.jpsychores.2024.111994
In this large meta-analysis, SI was associated with omega-3 fatty acids to total fatty acids ratio, which is suggestive of lower omega-3 fatty acid intake. Only some metabolite biomarkers showed tentative links to Type D and NA. In sum, it seems that there are no major alterations in lipid metabolism associated with Type D traits.
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Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.jpsychores.2024.111994
- OA Status
- hybrid
- Cited By
- 1
- References
- 75
- Related Works
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- OpenAlex ID
- https://openalex.org/W4404517801
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https://openalex.org/W4404517801Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.jpsychores.2024.111994Digital Object Identifier
- Title
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Metabolomics profiling of Type D personality traitsWork title
- Type
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reviewOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-11-19Full publication date if available
- Authors
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Ruifang Li‐Gao, Mariska Bot, Alexander Kurilshikov, Gonneke Willemsen, Marleen M. J. van Greevenbroek, Miranda T. Schram, Coen D.A. Stehouwer, Jingyuan Fu, Alexandra Zhernakova, Brenda W.J.H. Penninx, Eco J. C. de Geus, Marcus Dörr, Nina KupperList of authors in order
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https://doi.org/10.1016/j.jpsychores.2024.111994Publisher landing page
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hybridOpen access status per OpenAlex
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https://doi.org/10.1016/j.jpsychores.2024.111994Direct OA link when available
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Profiling (computer programming), Metabolomics, Big Five personality traits, Personality, Psychology, Clinical psychology, Computational biology, Biology, Bioinformatics, Social psychology, Computer science, Operating systemTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W4230151738, https://openalex.org/W2889785132, https://openalex.org/W2145485934, https://openalex.org/W1993720403, https://openalex.org/W2586958921, https://openalex.org/W3152951542, https://openalex.org/W3009796114, https://openalex.org/W4316170719, https://openalex.org/W3159645085, https://openalex.org/W3187948637, https://openalex.org/W2104383647, https://openalex.org/W6738048260, https://openalex.org/W2955603645, https://openalex.org/W2020395156, https://openalex.org/W4385898814, https://openalex.org/W2102941888, https://openalex.org/W2132274516, https://openalex.org/W2065507278, https://openalex.org/W2607726101, https://openalex.org/W3084463775, https://openalex.org/W3136543275, https://openalex.org/W6639198544, https://openalex.org/W2394818719, https://openalex.org/W2399308285, https://openalex.org/W2138218194, https://openalex.org/W1991025048, https://openalex.org/W2791208067, https://openalex.org/W2970939804, https://openalex.org/W3165066892, https://openalex.org/W2781928680, https://openalex.org/W2080598044, https://openalex.org/W2931475264, https://openalex.org/W2145029069, https://openalex.org/W2068509302, https://openalex.org/W2008889697, https://openalex.org/W2124084192, https://openalex.org/W4247092709, https://openalex.org/W2284521682, https://openalex.org/W1847859849, https://openalex.org/W2344543878, https://openalex.org/W2019050682, https://openalex.org/W2057728169, https://openalex.org/W3093404997, https://openalex.org/W3000719530, https://openalex.org/W1784175517, https://openalex.org/W2110065044, https://openalex.org/W2125435699, https://openalex.org/W2139168999, https://openalex.org/W2147076639, https://openalex.org/W2923062104, https://openalex.org/W2149265526, https://openalex.org/W2018883062, https://openalex.org/W1984251179, https://openalex.org/W2029191095, https://openalex.org/W2140944183, https://openalex.org/W2112935177, https://openalex.org/W2065522644, https://openalex.org/W2123937038, https://openalex.org/W2970917708, https://openalex.org/W4307734406, https://openalex.org/W3151614503, https://openalex.org/W2046934009, https://openalex.org/W4229032458, https://openalex.org/W1525581483, https://openalex.org/W3179255618, https://openalex.org/W4313270914, https://openalex.org/W4225409096, https://openalex.org/W3202020350, https://openalex.org/W2793645335, https://openalex.org/W2153664481, https://openalex.org/W2025354554, https://openalex.org/W3159704756, https://openalex.org/W4229031593, https://openalex.org/W4380900807, https://openalex.org/W2617419618 |
| referenced_works_count | 75 |
| abstract_inverted_index.D | 34, 53 |
| abstract_inverted_index.In | 0, 37 |
| abstract_inverted_index.SI | 4 |
| abstract_inverted_index.in | 47 |
| abstract_inverted_index.is | 17 |
| abstract_inverted_index.it | 39 |
| abstract_inverted_index.no | 44 |
| abstract_inverted_index.of | 19 |
| abstract_inverted_index.to | 11, 32 |
| abstract_inverted_index.NA. | 36 |
| abstract_inverted_index.and | 35 |
| abstract_inverted_index.are | 43 |
| abstract_inverted_index.was | 5 |
| abstract_inverted_index.Only | 25 |
| abstract_inverted_index.Type | 33, 52 |
| abstract_inverted_index.acid | 23 |
| abstract_inverted_index.some | 26 |
| abstract_inverted_index.sum, | 38 |
| abstract_inverted_index.that | 41 |
| abstract_inverted_index.this | 1 |
| abstract_inverted_index.with | 7, 51 |
| abstract_inverted_index.acids | 10, 14 |
| abstract_inverted_index.fatty | 9, 13, 22 |
| abstract_inverted_index.large | 2 |
| abstract_inverted_index.links | 31 |
| abstract_inverted_index.lipid | 48 |
| abstract_inverted_index.lower | 20 |
| abstract_inverted_index.major | 45 |
| abstract_inverted_index.seems | 40 |
| abstract_inverted_index.there | 42 |
| abstract_inverted_index.total | 12 |
| abstract_inverted_index.which | 16 |
| abstract_inverted_index.ratio, | 15 |
| abstract_inverted_index.showed | 29 |
| abstract_inverted_index.intake. | 24 |
| abstract_inverted_index.omega-3 | 8, 21 |
| abstract_inverted_index.traits. | 54 |
| abstract_inverted_index.tentative | 30 |
| abstract_inverted_index.associated | 6, 50 |
| abstract_inverted_index.biomarkers | 28 |
| abstract_inverted_index.metabolism | 49 |
| abstract_inverted_index.metabolite | 27 |
| abstract_inverted_index.suggestive | 18 |
| abstract_inverted_index.alterations | 46 |
| abstract_inverted_index.meta-analysis, | 3 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 13 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/5 |
| sustainable_development_goals[0].score | 0.5600000023841858 |
| sustainable_development_goals[0].display_name | Gender equality |
| citation_normalized_percentile.value | 0.73805695 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |