Phenylacetylglutamine as a biomarker for healthy aging


Ontology type: sgo:Patent     


Patent Info

DATE

2015-12-01T00:00

AUTHORS

Sebastiano Collino , Ivan Montoliu Roura , Francois-Pierre Martin , Philippe Alexandre Guy , Serge Andre Dominique Rezzi

ABSTRACT

Using NMR/MS based metabonomics and targeted lipidomics approaches the inventors have explored the metabolic phenotypes of aging and longevity in a cohort including centenarians, elderly and young adults. The inventors have identified biomarkers for a reduced risk of developing ageing related chronic inflammatory disorders and propose an in vitro method of diagnosing a lifestyle that allows delaying and/or avoiding ageing related chronic inflammatory disorders using phenylacetylglutamine (PAG) as biomarker. More... »

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/2008/3177", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "name": "Sebastiano Collino", 
        "type": "Person"
      }, 
      {
        "name": "Ivan Montoliu Roura", 
        "type": "Person"
      }, 
      {
        "name": "Francois-Pierre Martin", 
        "type": "Person"
      }, 
      {
        "name": "Philippe Alexandre Guy", 
        "type": "Person"
      }, 
      {
        "name": "Serge Andre Dominique Rezzi", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s11306-011-0293-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004591576", 
          "https://doi.org/10.1007/s11306-011-0293-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11357-011-9217-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005531088", 
          "https://doi.org/10.1007/s11357-011-9217-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/nu1010101", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010930781"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10522-007-9096-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017909603", 
          "https://doi.org/10.1007/s10522-007-9096-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10522-007-9096-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017909603", 
          "https://doi.org/10.1007/s10522-007-9096-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0531-5565(98)00055-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019604159"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/pr100798r", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023279974"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1172/jci44442", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032931143"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1194/jlr.m007096", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036291985"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.plefa.2008.09.023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040770130"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pgen.1000282", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041945577"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac901282n", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055071482"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac901282n", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055071482"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2015-12-01T00:00", 
    "description": "

Using NMR/MS based metabonomics and targeted lipidomics approaches the inventors have explored the metabolic phenotypes of aging and longevity in a cohort including centenarians, elderly and young adults. The inventors have identified biomarkers for a reduced risk of developing ageing related chronic inflammatory disorders and propose an in vitro method of diagnosing a lifestyle that allows delaying and/or avoiding ageing related chronic inflammatory disorders using phenylacetylglutamine (PAG) as biomarker.

", "id": "sg:patent.US-9201064-B2", "keywords": [ "biomarker", "healthy aging", "lipidomics", "inventor", "metabolic phenotype", "aging", "longevity", "cohort", "Aged, 80 and over", "and young adult", "identified biomarkers", "reduced risk", "chronic inflammatory disorder", "vitro method", "PAG" ], "name": "Phenylacetylglutamine as a biomarker for healthy aging", "recipient": [ { "id": "https://www.grid.ac/institutes/grid.419905.0", "type": "Organization" } ], "sameAs": [ "https://app.dimensions.ai/details/patent/US-9201064-B2" ], "sdDataset": "patents", "sdDatePublished": "2019-04-18T10:16", "sdLicense": "https://scigraph.springernature.com/explorer/license/", "sdPublisher": { "name": "Springer Nature - SN SciGraph project", "type": "Organization" }, "sdSource": "s3://com-uberresearch-data-patents-target-20190320-rc/data/sn-export/402f166718b70575fb5d4ffe01f064d1/0000100128-0000352499/json_export_01151.jsonl", "type": "Patent" } ]
 

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/patent.US-9201064-B2'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/patent.US-9201064-B2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/patent.US-9201064-B2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/patent.US-9201064-B2'


 

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

89 TRIPLES      15 PREDICATES      40 URIs      23 LITERALS      2 BLANK NODES

Subject Predicate Object
1 sg:patent.US-9201064-B2 schema:about anzsrc-for:3177
2 schema:author N780ee9cf32334a3b8a20e22275f8758e
3 schema:citation sg:pub.10.1007/s10522-007-9096-4
4 sg:pub.10.1007/s11306-011-0293-4
5 sg:pub.10.1007/s11357-011-9217-5
6 https://doi.org/10.1016/j.plefa.2008.09.023
7 https://doi.org/10.1016/s0531-5565(98)00055-2
8 https://doi.org/10.1021/ac901282n
9 https://doi.org/10.1021/pr100798r
10 https://doi.org/10.1172/jci44442
11 https://doi.org/10.1194/jlr.m007096
12 https://doi.org/10.1371/journal.pgen.1000282
13 https://doi.org/10.3390/nu1010101
14 schema:datePublished 2015-12-01T00:00
15 schema:description <p id="p-0001" num="0000">Using NMR/MS based metabonomics and targeted lipidomics approaches the inventors have explored the metabolic phenotypes of aging and longevity in a cohort including centenarians, elderly and young adults. The inventors have identified biomarkers for a reduced risk of developing ageing related chronic inflammatory disorders and propose an in vitro method of diagnosing a lifestyle that allows delaying and/or avoiding ageing related chronic inflammatory disorders using phenylacetylglutamine (PAG) as biomarker.</p>
16 schema:keywords Aged, 80 and over
17 PAG
18 aging
19 and young adult
20 biomarker
21 chronic inflammatory disorder
22 cohort
23 healthy aging
24 identified biomarkers
25 inventor
26 lipidomics
27 longevity
28 metabolic phenotype
29 reduced risk
30 vitro method
31 schema:name Phenylacetylglutamine as a biomarker for healthy aging
32 schema:recipient https://www.grid.ac/institutes/grid.419905.0
33 schema:sameAs https://app.dimensions.ai/details/patent/US-9201064-B2
34 schema:sdDatePublished 2019-04-18T10:16
35 schema:sdLicense https://scigraph.springernature.com/explorer/license/
36 schema:sdPublisher N5ac2772105ff42c096a72a2d3e61c018
37 sgo:license sg:explorer/license/
38 sgo:sdDataset patents
39 rdf:type sgo:Patent
40 N057a580f9fe14f72a616199c46d9e04d schema:name Philippe Alexandre Guy
41 rdf:type schema:Person
42 N2d912a0ef42f4de3b2c7fac0e741d036 schema:name Francois-Pierre Martin
43 rdf:type schema:Person
44 N511b5fd66fdc4fe2a8a88ff17f654cfc rdf:first Nefbfa1a7d6bc4355943c0b4157e87304
45 rdf:rest rdf:nil
46 N54050d63e0e940dd959ec36a747f880f schema:name Ivan Montoliu Roura
47 rdf:type schema:Person
48 N5ac2772105ff42c096a72a2d3e61c018 schema:name Springer Nature - SN SciGraph project
49 rdf:type schema:Organization
50 N6e818986fd734f7898452fae1fbf1699 schema:name Sebastiano Collino
51 rdf:type schema:Person
52 N780ee9cf32334a3b8a20e22275f8758e rdf:first N6e818986fd734f7898452fae1fbf1699
53 rdf:rest Nf0f1c2ba46b2474db617736a9072ea99
54 N8bda8ec790454ad4bdd10d0ced7f68df rdf:first N2d912a0ef42f4de3b2c7fac0e741d036
55 rdf:rest Nbbc9cb422e2840c484ad3d06b55ffe18
56 Nbbc9cb422e2840c484ad3d06b55ffe18 rdf:first N057a580f9fe14f72a616199c46d9e04d
57 rdf:rest N511b5fd66fdc4fe2a8a88ff17f654cfc
58 Nefbfa1a7d6bc4355943c0b4157e87304 schema:name Serge Andre Dominique Rezzi
59 rdf:type schema:Person
60 Nf0f1c2ba46b2474db617736a9072ea99 rdf:first N54050d63e0e940dd959ec36a747f880f
61 rdf:rest N8bda8ec790454ad4bdd10d0ced7f68df
62 anzsrc-for:3177 schema:inDefinedTermSet anzsrc-for:
63 rdf:type schema:DefinedTerm
64 sg:pub.10.1007/s10522-007-9096-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017909603
65 https://doi.org/10.1007/s10522-007-9096-4
66 rdf:type schema:CreativeWork
67 sg:pub.10.1007/s11306-011-0293-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004591576
68 https://doi.org/10.1007/s11306-011-0293-4
69 rdf:type schema:CreativeWork
70 sg:pub.10.1007/s11357-011-9217-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005531088
71 https://doi.org/10.1007/s11357-011-9217-5
72 rdf:type schema:CreativeWork
73 https://doi.org/10.1016/j.plefa.2008.09.023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040770130
74 rdf:type schema:CreativeWork
75 https://doi.org/10.1016/s0531-5565(98)00055-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019604159
76 rdf:type schema:CreativeWork
77 https://doi.org/10.1021/ac901282n schema:sameAs https://app.dimensions.ai/details/publication/pub.1055071482
78 rdf:type schema:CreativeWork
79 https://doi.org/10.1021/pr100798r schema:sameAs https://app.dimensions.ai/details/publication/pub.1023279974
80 rdf:type schema:CreativeWork
81 https://doi.org/10.1172/jci44442 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032931143
82 rdf:type schema:CreativeWork
83 https://doi.org/10.1194/jlr.m007096 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036291985
84 rdf:type schema:CreativeWork
85 https://doi.org/10.1371/journal.pgen.1000282 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041945577
86 rdf:type schema:CreativeWork
87 https://doi.org/10.3390/nu1010101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010930781
88 rdf:type schema:CreativeWork
89 https://www.grid.ac/institutes/grid.419905.0 schema:Organization
 




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


...