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Association between plasma phospholipid saturated fatty acids and metabolic markers of lipid, hepatic, inflammation and glycaemic pathways in eight European countries: a cross-sectional analysis in…

Overview of attention for article published in BMC Medicine, November 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Average Attention Score compared to outputs of the same age and source

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6 X users
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1 patent
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3 Facebook pages

Citations

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47 Dimensions

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91 Mendeley
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Title
Association between plasma phospholipid saturated fatty acids and metabolic markers of lipid, hepatic, inflammation and glycaemic pathways in eight European countries: a cross-sectional analysis in the EPIC-InterAct study
Published in
BMC Medicine, November 2017
DOI 10.1186/s12916-017-0968-4
Pubmed ID
Authors

Ju-Sheng Zheng, Stephen J. Sharp, Fumiaki Imamura, Albert Koulman, Matthias B. Schulze, Zheng Ye, Jules Griffin, Marcela Guevara, José María Huerta, Janine Kröger, Ivonne Sluijs, Antonio Agudo, Aurelio Barricarte, Heiner Boeing, Sandra Colorado-Yohar, Courtney Dow, Miren Dorronsoro, Pia T. Dinesen, Guy Fagherazzi, Paul W. Franks, Edith J. M. Feskens, Tilman Kühn, Verena Andrea Katzke, Timothy J. Key, Kay-Tee Khaw, Maria Santucci de Magistris, Francesca Romana Mancini, Elena Molina-Portillo, Peter M. Nilsson, Anja Olsen, Kim Overvad, Domenico Palli, Jose Ramón Quirós, Olov Rolandsson, Fulvio Ricceri, Annemieke M. W. Spijkerman, Nadia Slimani, Giovanna Tagliabue, Anne Tjonneland, Rosario Tumino, Yvonne T. van der Schouw, Claudia Langenberg, Elio Riboli, Nita G. Forouhi, Nicholas J. Wareham

Abstract

Accumulating evidence suggests that individual circulating saturated fatty acids (SFAs) are heterogeneous in their associations with cardio-metabolic diseases, but evidence about associations of SFAs with metabolic markers of different pathogenic pathways is limited. We aimed to examine the associations between plasma phospholipid SFAs and the metabolic markers of lipid, hepatic, glycaemic and inflammation pathways. We measured nine individual plasma phospholipid SFAs and derived three SFA groups (odd-chain: C15:0 + C17:0, even-chain: C14:0 + C16:0 + C18:0, and very-long-chain: C20:0 + C22:0 + C23:0 + C24:0) in individuals from the subcohort of the European Prospective Investigation into Cancer and Nutrition (EPIC)-InterAct case-cohort study across eight European countries. Using linear regression in 15,919 subcohort members, adjusted for potential confounders and corrected for multiple testing, we examined cross-sectional associations of SFAs with 13 metabolic markers. Multiplicative interactions of the three SFA groups with pre-specified factors, including body mass index (BMI) and alcohol consumption, were tested. Higher levels of odd-chain SFA group were associated with lower levels of major lipids (total cholesterol (TC), triglycerides, apolipoprotein A-1 (ApoA1), apolipoprotein B (ApoB)) and hepatic markers (alanine transaminase (ALT), aspartate transaminase (AST), gamma-glutamyl transferase (GGT)). Higher even-chain SFA group levels were associated with higher levels of low-density lipoprotein cholesterol (LDL-C), TC/high-density lipoprotein cholesterol (HDL-C) ratio, triglycerides, ApoB, ApoB/A1 ratio, ALT, AST, GGT and CRP, and lower levels of HDL-C and ApoA1. Very-long-chain SFA group levels showed inverse associations with triglycerides, ApoA1 and GGT, and positive associations with TC, LDL-C, TC/HDL-C, ApoB and ApoB/A1. Associations were generally stronger at higher levels of BMI or alcohol consumption. Subtypes of SFAs are associated in a differential way with metabolic markers of lipid metabolism, liver function and chronic inflammation, suggesting that odd-chain SFAs are associated with lower metabolic risk and even-chain SFAs with adverse metabolic risk, whereas mixed findings were obtained for very-long-chain SFAs. The clinical and biochemical implications of these findings may vary by adiposity and alcohol intake.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 91 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 24%
Student > Ph. D. Student 9 10%
Student > Master 8 9%
Student > Bachelor 7 8%
Student > Doctoral Student 6 7%
Other 13 14%
Unknown 26 29%
Readers by discipline Count As %
Medicine and Dentistry 20 22%
Biochemistry, Genetics and Molecular Biology 14 15%
Agricultural and Biological Sciences 4 4%
Nursing and Health Professions 4 4%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Other 7 8%
Unknown 40 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 April 2024.
All research outputs
#5,385,767
of 25,738,558 outputs
Outputs from BMC Medicine
#2,479
of 4,083 outputs
Outputs of similar age
#100,980
of 441,237 outputs
Outputs of similar age from BMC Medicine
#24
of 48 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,083 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.9. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 441,237 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.