Serum xanthophyll carotenoids are associated with estimated glomerular filtration rate in an aged cohort View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-11-19

AUTHORS

Declan Browne, Michael A. Williams, Alexander P. Maxwell, Bernadette McGuinness, Peter Passmore, Giuliana Silvestri, Jayne V. Woodside, Gareth J. McKay

ABSTRACT

Progressive renal decline is associated with increasing oxidative stress. However, the majority of studies have investigated endogenous antioxidants in predominantly advanced stages of kidney disease. Many traditional risk factors associated with renal dysfunction have been linked with cognitive decline as the kidneys and brain share comparable anatomic and haemodynamic characteristics that leave them susceptible to common pathogenic mechanisms. The objective of this study was to examine serum dietary antioxidants and their association with renal function characterised by estimated glomerular filtration rate (eGFR) in a cross-sectional analysis of 570 participants. High performance liquid chromatography quantified serum levels of retinol, α-tocopherol, γ-tocopherol and six carotenoids (α-carotene, β-carotene, β-cryptoxanthin, lutein, lycopene and zeaxanthin) in participants. Multiple regression analyses were used to evaluate associations while adjusting for potential confounders. A sensitivity analysis was performed in cognitively-intact participants only. Serum levels of the xanthophyll carotenoid lutein were positively associated with eGFR in analyses adjusted for age (years), gender, smoking, APOE4 status and Alzheimer's disease. Retinol was inversely associated with eGFR, although was no longer significant in the smaller sensitivity analysis. Our findings identify significant associations between the xanthophyll carotenoids and eGFR. Further investigations are required to confirm these findings. More... »

PAGES

17068

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-019-53674-5

DOI

http://dx.doi.org/10.1038/s41598-019-53674-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1122696426

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/31745176


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aging", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Alzheimer Disease", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Antioxidants", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cognitive Dysfunction", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cross-Sectional Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Glomerular Filtration Rate", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Kidney Diseases", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Vitamin A", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Xanthophylls", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "alpha-Tocopherol", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "gamma-Tocopherol", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Centre for Public Health, Queen\u2019s University Belfast, Belfast, UK", 
          "id": "http://www.grid.ac/institutes/grid.4777.3", 
          "name": [
            "Centre for Public Health, Queen\u2019s University Belfast, Belfast, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Browne", 
        "givenName": "Declan", 
        "id": "sg:person.011516007607.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011516007607.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centre for Medical Education, Queen\u2019s University of Belfast, Belfast, UK", 
          "id": "http://www.grid.ac/institutes/grid.4777.3", 
          "name": [
            "Centre for Medical Education, Queen\u2019s University of Belfast, Belfast, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Williams", 
        "givenName": "Michael A.", 
        "id": "sg:person.01021727410.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01021727410.31"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centre for Public Health, Queen\u2019s University Belfast, Belfast, UK", 
          "id": "http://www.grid.ac/institutes/grid.4777.3", 
          "name": [
            "Centre for Public Health, Queen\u2019s University Belfast, Belfast, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Maxwell", 
        "givenName": "Alexander P.", 
        "id": "sg:person.0643010350.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0643010350.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centre for Public Health, Queen\u2019s University Belfast, Belfast, UK", 
          "id": "http://www.grid.ac/institutes/grid.4777.3", 
          "name": [
            "Centre for Public Health, Queen\u2019s University Belfast, Belfast, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "McGuinness", 
        "givenName": "Bernadette", 
        "id": "sg:person.01114530206.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01114530206.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centre for Public Health, Queen\u2019s University Belfast, Belfast, UK", 
          "id": "http://www.grid.ac/institutes/grid.4777.3", 
          "name": [
            "Centre for Public Health, Queen\u2019s University Belfast, Belfast, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Passmore", 
        "givenName": "Peter", 
        "id": "sg:person.0751705456.81", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0751705456.81"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centre for Experimental Medicine, Queen\u2019s University of Belfast, Belfast, UK", 
          "id": "http://www.grid.ac/institutes/grid.4777.3", 
          "name": [
            "Centre for Experimental Medicine, Queen\u2019s University of Belfast, Belfast, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Silvestri", 
        "givenName": "Giuliana", 
        "id": "sg:person.0632243254.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0632243254.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centre for Public Health, Queen\u2019s University Belfast, Belfast, UK", 
          "id": "http://www.grid.ac/institutes/grid.4777.3", 
          "name": [
            "Centre for Public Health, Queen\u2019s University Belfast, Belfast, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Woodside", 
        "givenName": "Jayne V.", 
        "id": "sg:person.0765571636.66", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0765571636.66"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centre for Public Health, Queen\u2019s University Belfast, Belfast, UK", 
          "id": "http://www.grid.ac/institutes/grid.4777.3", 
          "name": [
            "Centre for Public Health, Queen\u2019s University Belfast, Belfast, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "McKay", 
        "givenName": "Gareth J.", 
        "id": "sg:person.0602606477.62", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0602606477.62"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1186/1471-2369-12-59", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005911884", 
          "https://doi.org/10.1186/1471-2369-12-59"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12944-016-0288-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004434572", 
          "https://doi.org/10.1186/s12944-016-0288-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1756-0500-5-537", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048377017", 
          "https://doi.org/10.1186/1756-0500-5-537"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-11-19", 
    "datePublishedReg": "2019-11-19", 
    "description": "Progressive renal decline is associated with increasing oxidative stress. However, the majority of studies have investigated endogenous antioxidants in predominantly advanced stages of kidney disease. Many traditional risk factors associated with renal dysfunction have been linked with cognitive decline as the kidneys and brain share comparable anatomic and haemodynamic characteristics that leave them susceptible to common pathogenic mechanisms. The objective of this study was to examine serum dietary antioxidants and their association with renal function characterised by estimated glomerular filtration rate (eGFR) in a cross-sectional analysis of 570 participants. High performance liquid chromatography quantified serum levels of retinol, \u03b1-tocopherol, \u03b3-tocopherol and six carotenoids (\u03b1-carotene, \u03b2-carotene, \u03b2-cryptoxanthin, lutein, lycopene and zeaxanthin) in participants. Multiple regression analyses were used to evaluate associations while adjusting for potential confounders. A sensitivity analysis was performed in cognitively-intact participants only. Serum levels of the xanthophyll carotenoid lutein were positively associated with eGFR in analyses adjusted for age (years), gender, smoking, APOE4 status and Alzheimer's disease. Retinol was inversely associated with eGFR, although was no longer significant in the smaller sensitivity analysis. Our findings identify significant associations between the xanthophyll carotenoids and eGFR. Further investigations are required to confirm these findings.", 
    "genre": "article", 
    "id": "sg:pub.10.1038/s41598-019-53674-5", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.5498099", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2762272", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "9"
      }
    ], 
    "keywords": [
      "glomerular filtration rate", 
      "serum levels", 
      "filtration rate", 
      "traditional risk factors", 
      "progressive renal decline", 
      "xanthophyll carotenoids", 
      "common pathogenic mechanisms", 
      "cross-sectional analysis", 
      "xanthophyll carotenoids lutein", 
      "renal decline", 
      "renal dysfunction", 
      "renal function", 
      "kidney disease", 
      "potential confounders", 
      "risk factors", 
      "haemodynamic characteristics", 
      "pathogenic mechanisms", 
      "APOE4 status", 
      "dietary antioxidants", 
      "advanced stage", 
      "cognitive decline", 
      "brain share", 
      "Alzheimer's disease", 
      "endogenous antioxidants", 
      "majority of studies", 
      "significant association", 
      "oxidative stress", 
      "EGFR", 
      "carotenoids lutein", 
      "disease", 
      "intact participants", 
      "aged cohort", 
      "multiple regression analysis", 
      "regression analysis", 
      "high-performance liquid chromatography", 
      "further investigation", 
      "performance liquid chromatography", 
      "retinol", 
      "association", 
      "participants", 
      "antioxidants", 
      "smoking", 
      "liquid chromatography", 
      "dysfunction", 
      "confounders", 
      "cohort", 
      "kidney", 
      "findings", 
      "tocopherol", 
      "age", 
      "levels", 
      "decline", 
      "study", 
      "sensitivity analysis", 
      "rate", 
      "status", 
      "gender", 
      "majority", 
      "carotenoids", 
      "lutein", 
      "analysis", 
      "factors", 
      "objective", 
      "mechanism", 
      "stage", 
      "function", 
      "stress", 
      "chromatography", 
      "investigation", 
      "characteristics", 
      "share", 
      "serum dietary antioxidants", 
      "smaller sensitivity analysis", 
      "Serum xanthophyll carotenoids"
    ], 
    "name": "Serum xanthophyll carotenoids are associated with estimated glomerular filtration rate in an aged cohort", 
    "pagination": "17068", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1122696426"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41598-019-53674-5"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "31745176"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41598-019-53674-5", 
      "https://app.dimensions.ai/details/publication/pub.1122696426"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-01-01T18:50", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/article/article_800.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1038/s41598-019-53674-5"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-53674-5'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-53674-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-53674-5'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-53674-5'


 

This table displays all metadata directly associated to this object as RDF triples.

264 TRIPLES      22 PREDICATES      118 URIs      107 LITERALS      22 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41598-019-53674-5 schema:about N10a7a21cbfcf4152a353a00504e5a892
2 N153182cd49804af79752e1f9e20d7dfa
3 N17d70496f8a04a17bbf8dbe0dfc214cd
4 N2d83c5ca3f264e8e843b4fc4837b6b84
5 N33bede07f024440f819f4e9d5362e31c
6 N4045f38ac4b144e78fe1b851f13fb9ec
7 N4daac6304f3647ddb1eb03c1f37709d8
8 N59a1d52c899f400c9f4d5d9193b94e96
9 N7393b2d1229c466f9dd6a4d72574439f
10 N83068abffee64df1a31b28757f3fc6b5
11 Nb5f0cf05953241728e13e0e7b4dd3461
12 Nb8e5addd3ce04ee5a074899c4da83c37
13 Neda0b9b04a1646a7a4d9e2255f323fa6
14 Nf31ddba2de2843fbaeac80fe142f997f
15 Nf4bf251e99304c61a06453e3de655409
16 anzsrc-for:11
17 anzsrc-for:1103
18 schema:author Ncfbdb5a821ab404aa8bc761051c4a947
19 schema:citation sg:pub.10.1186/1471-2369-12-59
20 sg:pub.10.1186/1756-0500-5-537
21 sg:pub.10.1186/s12944-016-0288-2
22 schema:datePublished 2019-11-19
23 schema:datePublishedReg 2019-11-19
24 schema:description Progressive renal decline is associated with increasing oxidative stress. However, the majority of studies have investigated endogenous antioxidants in predominantly advanced stages of kidney disease. Many traditional risk factors associated with renal dysfunction have been linked with cognitive decline as the kidneys and brain share comparable anatomic and haemodynamic characteristics that leave them susceptible to common pathogenic mechanisms. The objective of this study was to examine serum dietary antioxidants and their association with renal function characterised by estimated glomerular filtration rate (eGFR) in a cross-sectional analysis of 570 participants. High performance liquid chromatography quantified serum levels of retinol, α-tocopherol, γ-tocopherol and six carotenoids (α-carotene, β-carotene, β-cryptoxanthin, lutein, lycopene and zeaxanthin) in participants. Multiple regression analyses were used to evaluate associations while adjusting for potential confounders. A sensitivity analysis was performed in cognitively-intact participants only. Serum levels of the xanthophyll carotenoid lutein were positively associated with eGFR in analyses adjusted for age (years), gender, smoking, APOE4 status and Alzheimer's disease. Retinol was inversely associated with eGFR, although was no longer significant in the smaller sensitivity analysis. Our findings identify significant associations between the xanthophyll carotenoids and eGFR. Further investigations are required to confirm these findings.
25 schema:genre article
26 schema:inLanguage en
27 schema:isAccessibleForFree true
28 schema:isPartOf Na7ae46f295614ffbad6b99b05baedc9f
29 Nf7cd192850b6452aaaaa3bb7e4d98b18
30 sg:journal.1045337
31 schema:keywords APOE4 status
32 Alzheimer's disease
33 EGFR
34 Serum xanthophyll carotenoids
35 advanced stage
36 age
37 aged cohort
38 analysis
39 antioxidants
40 association
41 brain share
42 carotenoids
43 carotenoids lutein
44 characteristics
45 chromatography
46 cognitive decline
47 cohort
48 common pathogenic mechanisms
49 confounders
50 cross-sectional analysis
51 decline
52 dietary antioxidants
53 disease
54 dysfunction
55 endogenous antioxidants
56 factors
57 filtration rate
58 findings
59 function
60 further investigation
61 gender
62 glomerular filtration rate
63 haemodynamic characteristics
64 high-performance liquid chromatography
65 intact participants
66 investigation
67 kidney
68 kidney disease
69 levels
70 liquid chromatography
71 lutein
72 majority
73 majority of studies
74 mechanism
75 multiple regression analysis
76 objective
77 oxidative stress
78 participants
79 pathogenic mechanisms
80 performance liquid chromatography
81 potential confounders
82 progressive renal decline
83 rate
84 regression analysis
85 renal decline
86 renal dysfunction
87 renal function
88 retinol
89 risk factors
90 sensitivity analysis
91 serum dietary antioxidants
92 serum levels
93 share
94 significant association
95 smaller sensitivity analysis
96 smoking
97 stage
98 status
99 stress
100 study
101 tocopherol
102 traditional risk factors
103 xanthophyll carotenoids
104 xanthophyll carotenoids lutein
105 schema:name Serum xanthophyll carotenoids are associated with estimated glomerular filtration rate in an aged cohort
106 schema:pagination 17068
107 schema:productId N7e1bc368db4a42df90d9a512cbe05d25
108 Nce276ae8ae4542469fc2ecb35559fd24
109 Nd6c22c4f527b4fba91399c4f06032d9c
110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1122696426
111 https://doi.org/10.1038/s41598-019-53674-5
112 schema:sdDatePublished 2022-01-01T18:50
113 schema:sdLicense https://scigraph.springernature.com/explorer/license/
114 schema:sdPublisher N4a05149f035f45de8c44621b3058e5bb
115 schema:url https://doi.org/10.1038/s41598-019-53674-5
116 sgo:license sg:explorer/license/
117 sgo:sdDataset articles
118 rdf:type schema:ScholarlyArticle
119 N10a7a21cbfcf4152a353a00504e5a892 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name gamma-Tocopherol
121 rdf:type schema:DefinedTerm
122 N153182cd49804af79752e1f9e20d7dfa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Kidney Diseases
124 rdf:type schema:DefinedTerm
125 N17d70496f8a04a17bbf8dbe0dfc214cd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Aged
127 rdf:type schema:DefinedTerm
128 N1f0cbb1cc5c9447bad5991010fd823fe rdf:first sg:person.01114530206.19
129 rdf:rest Nee0eb90583bc4d54bae269fefd9e24ff
130 N2d83c5ca3f264e8e843b4fc4837b6b84 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
131 schema:name Alzheimer Disease
132 rdf:type schema:DefinedTerm
133 N33bede07f024440f819f4e9d5362e31c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Male
135 rdf:type schema:DefinedTerm
136 N359ea5d73328499d9acce540cad685a0 rdf:first sg:person.0643010350.46
137 rdf:rest N1f0cbb1cc5c9447bad5991010fd823fe
138 N36f329ceb866465da2e1ed7bd6ebfd56 rdf:first sg:person.0602606477.62
139 rdf:rest rdf:nil
140 N4045f38ac4b144e78fe1b851f13fb9ec schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name Female
142 rdf:type schema:DefinedTerm
143 N4a05149f035f45de8c44621b3058e5bb schema:name Springer Nature - SN SciGraph project
144 rdf:type schema:Organization
145 N4daac6304f3647ddb1eb03c1f37709d8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
146 schema:name Humans
147 rdf:type schema:DefinedTerm
148 N59a1d52c899f400c9f4d5d9193b94e96 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
149 schema:name Aging
150 rdf:type schema:DefinedTerm
151 N7393b2d1229c466f9dd6a4d72574439f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
152 schema:name alpha-Tocopherol
153 rdf:type schema:DefinedTerm
154 N7e1bc368db4a42df90d9a512cbe05d25 schema:name pubmed_id
155 schema:value 31745176
156 rdf:type schema:PropertyValue
157 N83068abffee64df1a31b28757f3fc6b5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
158 schema:name Glomerular Filtration Rate
159 rdf:type schema:DefinedTerm
160 N895dea841dd24bd7af4d70229ffdb138 rdf:first sg:person.0632243254.38
161 rdf:rest Nf27b51853cd6483b89e14f2d413dd16c
162 Na7ae46f295614ffbad6b99b05baedc9f schema:issueNumber 1
163 rdf:type schema:PublicationIssue
164 Nb5f0cf05953241728e13e0e7b4dd3461 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
165 schema:name Cognitive Dysfunction
166 rdf:type schema:DefinedTerm
167 Nb8e5addd3ce04ee5a074899c4da83c37 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
168 schema:name Antioxidants
169 rdf:type schema:DefinedTerm
170 Nce276ae8ae4542469fc2ecb35559fd24 schema:name dimensions_id
171 schema:value pub.1122696426
172 rdf:type schema:PropertyValue
173 Ncfbdb5a821ab404aa8bc761051c4a947 rdf:first sg:person.011516007607.46
174 rdf:rest Ne4e7050614cf46a68626d42f22b9849f
175 Nd6c22c4f527b4fba91399c4f06032d9c schema:name doi
176 schema:value 10.1038/s41598-019-53674-5
177 rdf:type schema:PropertyValue
178 Ne4e7050614cf46a68626d42f22b9849f rdf:first sg:person.01021727410.31
179 rdf:rest N359ea5d73328499d9acce540cad685a0
180 Neda0b9b04a1646a7a4d9e2255f323fa6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
181 schema:name Xanthophylls
182 rdf:type schema:DefinedTerm
183 Nee0eb90583bc4d54bae269fefd9e24ff rdf:first sg:person.0751705456.81
184 rdf:rest N895dea841dd24bd7af4d70229ffdb138
185 Nf27b51853cd6483b89e14f2d413dd16c rdf:first sg:person.0765571636.66
186 rdf:rest N36f329ceb866465da2e1ed7bd6ebfd56
187 Nf31ddba2de2843fbaeac80fe142f997f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
188 schema:name Vitamin A
189 rdf:type schema:DefinedTerm
190 Nf4bf251e99304c61a06453e3de655409 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
191 schema:name Cross-Sectional Studies
192 rdf:type schema:DefinedTerm
193 Nf7cd192850b6452aaaaa3bb7e4d98b18 schema:volumeNumber 9
194 rdf:type schema:PublicationVolume
195 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
196 schema:name Medical and Health Sciences
197 rdf:type schema:DefinedTerm
198 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
199 schema:name Clinical Sciences
200 rdf:type schema:DefinedTerm
201 sg:grant.2762272 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-019-53674-5
202 rdf:type schema:MonetaryGrant
203 sg:grant.5498099 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-019-53674-5
204 rdf:type schema:MonetaryGrant
205 sg:journal.1045337 schema:issn 2045-2322
206 schema:name Scientific Reports
207 schema:publisher Springer Nature
208 rdf:type schema:Periodical
209 sg:person.01021727410.31 schema:affiliation grid-institutes:grid.4777.3
210 schema:familyName Williams
211 schema:givenName Michael A.
212 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01021727410.31
213 rdf:type schema:Person
214 sg:person.01114530206.19 schema:affiliation grid-institutes:grid.4777.3
215 schema:familyName McGuinness
216 schema:givenName Bernadette
217 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01114530206.19
218 rdf:type schema:Person
219 sg:person.011516007607.46 schema:affiliation grid-institutes:grid.4777.3
220 schema:familyName Browne
221 schema:givenName Declan
222 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011516007607.46
223 rdf:type schema:Person
224 sg:person.0602606477.62 schema:affiliation grid-institutes:grid.4777.3
225 schema:familyName McKay
226 schema:givenName Gareth J.
227 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0602606477.62
228 rdf:type schema:Person
229 sg:person.0632243254.38 schema:affiliation grid-institutes:grid.4777.3
230 schema:familyName Silvestri
231 schema:givenName Giuliana
232 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0632243254.38
233 rdf:type schema:Person
234 sg:person.0643010350.46 schema:affiliation grid-institutes:grid.4777.3
235 schema:familyName Maxwell
236 schema:givenName Alexander P.
237 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0643010350.46
238 rdf:type schema:Person
239 sg:person.0751705456.81 schema:affiliation grid-institutes:grid.4777.3
240 schema:familyName Passmore
241 schema:givenName Peter
242 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0751705456.81
243 rdf:type schema:Person
244 sg:person.0765571636.66 schema:affiliation grid-institutes:grid.4777.3
245 schema:familyName Woodside
246 schema:givenName Jayne V.
247 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0765571636.66
248 rdf:type schema:Person
249 sg:pub.10.1186/1471-2369-12-59 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005911884
250 https://doi.org/10.1186/1471-2369-12-59
251 rdf:type schema:CreativeWork
252 sg:pub.10.1186/1756-0500-5-537 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048377017
253 https://doi.org/10.1186/1756-0500-5-537
254 rdf:type schema:CreativeWork
255 sg:pub.10.1186/s12944-016-0288-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004434572
256 https://doi.org/10.1186/s12944-016-0288-2
257 rdf:type schema:CreativeWork
258 grid-institutes:grid.4777.3 schema:alternateName Centre for Experimental Medicine, Queen’s University of Belfast, Belfast, UK
259 Centre for Medical Education, Queen’s University of Belfast, Belfast, UK
260 Centre for Public Health, Queen’s University Belfast, Belfast, UK
261 schema:name Centre for Experimental Medicine, Queen’s University of Belfast, Belfast, UK
262 Centre for Medical Education, Queen’s University of Belfast, Belfast, UK
263 Centre for Public Health, Queen’s University Belfast, Belfast, UK
264 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...