Simultaneous measurement of 23 plasma cytokines in late-life depression View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2009-05-30

AUTHORS

Kang Soo Lee, Ji Hyung Chung, Kyung Hye Lee, Min-Jeong Shin, Byoung Hoon Oh, Soo Hyung Lee, Chang Hyung Hong

ABSTRACT

According to the cytokine hypothesis of depression, cytokines play key roles in the behavioral, neuroendocrinal, and neurochemical features of depression. In this study, we used a bioplex assay to simultaneously measure the levels of 23 plasma cytokines in 18 patients with late-life depression and 38 normal controls, and these levels were compared between the two groups. The plasma interleukin-1alpha (IL-1α) levels were found to be significantly different between the two groups. After adjusting for age, gender, low-density lipoprotein cholesterol, and triglyceride, the plasma IL-1α levels were significantly higher in the patients with late-life depression than in the normal control subjects. Thus, this study provides preliminary evidence that plasma IL-1α may play important roles in the pathogenesis of late-life depression. More... »

PAGES

435-438

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10072-009-0091-1

DOI

http://dx.doi.org/10.1007/s10072-009-0091-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1034057354

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/19484185


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": "Aged, 80 and over", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cytokines", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Depression", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Plasma", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Medicine, The Graduate School, Yonsei University, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.15444.30", 
          "name": [
            "Department of Psychiatry, Pochon CHA University College of Medicine, Seongnam, Korea", 
            "Department of Medicine, The Graduate School, Yonsei University, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Kang Soo", 
        "id": "sg:person.01342335214.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01342335214.23"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yonsei University Research Institute of Science for Aging, Yonsei University, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.15444.30", 
          "name": [
            "Yonsei University Research Institute of Science for Aging, Yonsei University, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chung", 
        "givenName": "Ji Hyung", 
        "id": "sg:person.01040712443.78", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01040712443.78"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yonsei University Research Institute of Science for Aging, Yonsei University, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.15444.30", 
          "name": [
            "Yonsei University Research Institute of Science for Aging, Yonsei University, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Kyung Hye", 
        "id": "sg:person.01271367443.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01271367443.06"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Food and Nutrition, Yeungnam University, Gyeongsan, Korea", 
          "id": "http://www.grid.ac/institutes/grid.413028.c", 
          "name": [
            "Department of Food and Nutrition, Yeungnam University, Gyeongsan, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shin", 
        "givenName": "Min-Jeong", 
        "id": "sg:person.01202404423.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01202404423.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Psychiatry, Institution of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.15444.30", 
          "name": [
            "Department of Psychiatry, Institution of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Oh", 
        "givenName": "Byoung Hoon", 
        "id": "sg:person.01135133766.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01135133766.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Family Medicine, Seoul Medical Center, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.415520.7", 
          "name": [
            "Department of Family Medicine, Seoul Medical Center, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Soo Hyung", 
        "id": "sg:person.0736505610.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0736505610.29"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ajou University School of Medicine, San 5, Wonchun-dong, Youngtong-gu, 443-749, Suwon-si, Korea", 
          "id": "http://www.grid.ac/institutes/grid.251916.8", 
          "name": [
            "Department of Psychiatry, Ajou Institute of Aging, Ajou University School of Medicine, Suwon, Korea", 
            "Memory Impairment Center, Ajou University Hospital, Suwon, Korea", 
            "Ajou University School of Medicine, San 5, Wonchun-dong, Youngtong-gu, 443-749, Suwon-si, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hong", 
        "givenName": "Chang Hyung", 
        "id": "sg:person.01223317566.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01223317566.34"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/978-0-585-37970-8_2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025749310", 
          "https://doi.org/10.1007/978-0-585-37970-8_2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nm0707-778", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041755855", 
          "https://doi.org/10.1038/nm0707-778"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrn2297", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020622734", 
          "https://doi.org/10.1038/nrn2297"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2009-05-30", 
    "datePublishedReg": "2009-05-30", 
    "description": "According to the cytokine hypothesis of depression, cytokines play key roles in the behavioral, neuroendocrinal, and neurochemical features of depression. In this study, we used a bioplex assay to simultaneously measure the levels of 23 plasma cytokines in 18 patients with late-life depression and 38 normal controls, and these levels were compared between the two groups. The plasma interleukin-1alpha (IL-1\u03b1) levels were found to be significantly different between the two groups. After adjusting for age, gender, low-density lipoprotein cholesterol, and triglyceride, the plasma IL-1\u03b1 levels were significantly higher in the patients with late-life depression than in the normal control subjects. Thus, this study provides preliminary evidence that plasma IL-1\u03b1 may play important roles in the pathogenesis of late-life depression.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s10072-009-0091-1", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1294956", 
        "issn": [
          "1590-1874", 
          "1126-5442"
        ], 
        "name": "Neurological Sciences", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "30"
      }
    ], 
    "keywords": [
      "late-life depression", 
      "plasma cytokines", 
      "low-density lipoprotein cholesterol", 
      "IL-1\u03b1 levels", 
      "normal control subjects", 
      "cytokine hypothesis", 
      "lipoprotein cholesterol", 
      "BioPlex assay", 
      "neurochemical features", 
      "control subjects", 
      "IL-1\u03b1", 
      "normal controls", 
      "cytokines", 
      "depression", 
      "patients", 
      "preliminary evidence", 
      "levels", 
      "group", 
      "pathogenesis", 
      "triglycerides", 
      "cholesterol", 
      "important role", 
      "key role", 
      "age", 
      "study", 
      "role", 
      "subjects", 
      "assays", 
      "gender", 
      "evidence", 
      "control", 
      "simultaneous measurement", 
      "hypothesis", 
      "features", 
      "measurements", 
      "plasma interleukin-1alpha (IL-1\u03b1) levels", 
      "interleukin-1alpha (IL-1\u03b1) levels", 
      "plasma IL-1\u03b1 levels"
    ], 
    "name": "Simultaneous measurement of 23 plasma cytokines in late-life depression", 
    "pagination": "435-438", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1034057354"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10072-009-0091-1"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "19484185"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10072-009-0091-1", 
      "https://app.dimensions.ai/details/publication/pub.1034057354"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2021-12-01T19:21", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20211201/entities/gbq_results/article/article_479.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s10072-009-0091-1"
  }
]
 

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.10.1007/s10072-009-0091-1'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10072-009-0091-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10072-009-0091-1'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10072-009-0091-1'


 

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

206 TRIPLES      22 PREDICATES      76 URIs      65 LITERALS      16 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10072-009-0091-1 schema:about N1da44f8d13dc456fb0184781cabaa47a
2 N2f15f2e0f7ff47f5b6501cd36981518d
3 N49e26d3786b043a49eb989443ef1e3dc
4 N512593d5f74f48b98003a282ecb70c1a
5 N86c93caa980042df8649e08cd3ab9f27
6 Naeea50169bf04ac69a951b35ac0b4c0c
7 Nda426c03ed634e60af1d7cfb2b5c6d48
8 Ne94657d9e0fe47ff9b8fac5ea17941e9
9 Nf3309094a23f4bf2971b4b83a10758be
10 anzsrc-for:11
11 anzsrc-for:1103
12 schema:author N63b76ae253d44afb8a7b82f6666114bc
13 schema:citation sg:pub.10.1007/978-0-585-37970-8_2
14 sg:pub.10.1038/nm0707-778
15 sg:pub.10.1038/nrn2297
16 schema:datePublished 2009-05-30
17 schema:datePublishedReg 2009-05-30
18 schema:description According to the cytokine hypothesis of depression, cytokines play key roles in the behavioral, neuroendocrinal, and neurochemical features of depression. In this study, we used a bioplex assay to simultaneously measure the levels of 23 plasma cytokines in 18 patients with late-life depression and 38 normal controls, and these levels were compared between the two groups. The plasma interleukin-1alpha (IL-1α) levels were found to be significantly different between the two groups. After adjusting for age, gender, low-density lipoprotein cholesterol, and triglyceride, the plasma IL-1α levels were significantly higher in the patients with late-life depression than in the normal control subjects. Thus, this study provides preliminary evidence that plasma IL-1α may play important roles in the pathogenesis of late-life depression.
19 schema:genre article
20 schema:inLanguage en
21 schema:isAccessibleForFree false
22 schema:isPartOf N1671c6afdfa44d8a9965c9753beb5fcf
23 Na35595862c314aa9a6d398cf0e776afe
24 sg:journal.1294956
25 schema:keywords BioPlex assay
26 IL-1α
27 IL-1α levels
28 age
29 assays
30 cholesterol
31 control
32 control subjects
33 cytokine hypothesis
34 cytokines
35 depression
36 evidence
37 features
38 gender
39 group
40 hypothesis
41 important role
42 interleukin-1alpha (IL-1α) levels
43 key role
44 late-life depression
45 levels
46 lipoprotein cholesterol
47 low-density lipoprotein cholesterol
48 measurements
49 neurochemical features
50 normal control subjects
51 normal controls
52 pathogenesis
53 patients
54 plasma IL-1α levels
55 plasma cytokines
56 plasma interleukin-1alpha (IL-1α) levels
57 preliminary evidence
58 role
59 simultaneous measurement
60 study
61 subjects
62 triglycerides
63 schema:name Simultaneous measurement of 23 plasma cytokines in late-life depression
64 schema:pagination 435-438
65 schema:productId N4e0e1dfd7b254dee8036bb23a00f6de1
66 N75ad1e52d0414632bddbb2412da0941e
67 Nd58a2a5e554a4ee5887b6b078102e5a3
68 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034057354
69 https://doi.org/10.1007/s10072-009-0091-1
70 schema:sdDatePublished 2021-12-01T19:21
71 schema:sdLicense https://scigraph.springernature.com/explorer/license/
72 schema:sdPublisher Nc025897a6c4f4b7d8639fa9064887343
73 schema:url https://doi.org/10.1007/s10072-009-0091-1
74 sgo:license sg:explorer/license/
75 sgo:sdDataset articles
76 rdf:type schema:ScholarlyArticle
77 N09132bc941bd4280a2c16892850b5201 rdf:first sg:person.01271367443.06
78 rdf:rest N589a23bb3db641a5941994783e03e47c
79 N1671c6afdfa44d8a9965c9753beb5fcf schema:volumeNumber 30
80 rdf:type schema:PublicationVolume
81 N1da44f8d13dc456fb0184781cabaa47a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
82 schema:name Cytokines
83 rdf:type schema:DefinedTerm
84 N2d6cb06838c94cc19b98ef6df1ddf4c2 rdf:first sg:person.0736505610.29
85 rdf:rest Nca87df4e4b094766a35fca8c341650ee
86 N2f15f2e0f7ff47f5b6501cd36981518d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
87 schema:name Aged
88 rdf:type schema:DefinedTerm
89 N49e26d3786b043a49eb989443ef1e3dc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
90 schema:name Female
91 rdf:type schema:DefinedTerm
92 N4e0e1dfd7b254dee8036bb23a00f6de1 schema:name doi
93 schema:value 10.1007/s10072-009-0091-1
94 rdf:type schema:PropertyValue
95 N512593d5f74f48b98003a282ecb70c1a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
96 schema:name Depression
97 rdf:type schema:DefinedTerm
98 N589a23bb3db641a5941994783e03e47c rdf:first sg:person.01202404423.00
99 rdf:rest Nde68a458a9c54e97bc19b30d3a196feb
100 N63b76ae253d44afb8a7b82f6666114bc rdf:first sg:person.01342335214.23
101 rdf:rest N7ef84dfaf4f44cd8a1516a0eaced2c34
102 N75ad1e52d0414632bddbb2412da0941e schema:name dimensions_id
103 schema:value pub.1034057354
104 rdf:type schema:PropertyValue
105 N7ef84dfaf4f44cd8a1516a0eaced2c34 rdf:first sg:person.01040712443.78
106 rdf:rest N09132bc941bd4280a2c16892850b5201
107 N86c93caa980042df8649e08cd3ab9f27 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Male
109 rdf:type schema:DefinedTerm
110 Na35595862c314aa9a6d398cf0e776afe schema:issueNumber 5
111 rdf:type schema:PublicationIssue
112 Naeea50169bf04ac69a951b35ac0b4c0c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Aged, 80 and over
114 rdf:type schema:DefinedTerm
115 Nc025897a6c4f4b7d8639fa9064887343 schema:name Springer Nature - SN SciGraph project
116 rdf:type schema:Organization
117 Nca87df4e4b094766a35fca8c341650ee rdf:first sg:person.01223317566.34
118 rdf:rest rdf:nil
119 Nd58a2a5e554a4ee5887b6b078102e5a3 schema:name pubmed_id
120 schema:value 19484185
121 rdf:type schema:PropertyValue
122 Nda426c03ed634e60af1d7cfb2b5c6d48 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Middle Aged
124 rdf:type schema:DefinedTerm
125 Nde68a458a9c54e97bc19b30d3a196feb rdf:first sg:person.01135133766.44
126 rdf:rest N2d6cb06838c94cc19b98ef6df1ddf4c2
127 Ne94657d9e0fe47ff9b8fac5ea17941e9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Plasma
129 rdf:type schema:DefinedTerm
130 Nf3309094a23f4bf2971b4b83a10758be schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
131 schema:name Humans
132 rdf:type schema:DefinedTerm
133 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
134 schema:name Medical and Health Sciences
135 rdf:type schema:DefinedTerm
136 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
137 schema:name Clinical Sciences
138 rdf:type schema:DefinedTerm
139 sg:journal.1294956 schema:issn 1126-5442
140 1590-1874
141 schema:name Neurological Sciences
142 schema:publisher Springer Nature
143 rdf:type schema:Periodical
144 sg:person.01040712443.78 schema:affiliation grid-institutes:grid.15444.30
145 schema:familyName Chung
146 schema:givenName Ji Hyung
147 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01040712443.78
148 rdf:type schema:Person
149 sg:person.01135133766.44 schema:affiliation grid-institutes:grid.15444.30
150 schema:familyName Oh
151 schema:givenName Byoung Hoon
152 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01135133766.44
153 rdf:type schema:Person
154 sg:person.01202404423.00 schema:affiliation grid-institutes:grid.413028.c
155 schema:familyName Shin
156 schema:givenName Min-Jeong
157 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01202404423.00
158 rdf:type schema:Person
159 sg:person.01223317566.34 schema:affiliation grid-institutes:grid.251916.8
160 schema:familyName Hong
161 schema:givenName Chang Hyung
162 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01223317566.34
163 rdf:type schema:Person
164 sg:person.01271367443.06 schema:affiliation grid-institutes:grid.15444.30
165 schema:familyName Lee
166 schema:givenName Kyung Hye
167 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01271367443.06
168 rdf:type schema:Person
169 sg:person.01342335214.23 schema:affiliation grid-institutes:grid.15444.30
170 schema:familyName Lee
171 schema:givenName Kang Soo
172 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01342335214.23
173 rdf:type schema:Person
174 sg:person.0736505610.29 schema:affiliation grid-institutes:grid.415520.7
175 schema:familyName Lee
176 schema:givenName Soo Hyung
177 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0736505610.29
178 rdf:type schema:Person
179 sg:pub.10.1007/978-0-585-37970-8_2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025749310
180 https://doi.org/10.1007/978-0-585-37970-8_2
181 rdf:type schema:CreativeWork
182 sg:pub.10.1038/nm0707-778 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041755855
183 https://doi.org/10.1038/nm0707-778
184 rdf:type schema:CreativeWork
185 sg:pub.10.1038/nrn2297 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020622734
186 https://doi.org/10.1038/nrn2297
187 rdf:type schema:CreativeWork
188 grid-institutes:grid.15444.30 schema:alternateName Department of Medicine, The Graduate School, Yonsei University, Seoul, Korea
189 Department of Psychiatry, Institution of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Korea
190 Yonsei University Research Institute of Science for Aging, Yonsei University, Seoul, Korea
191 schema:name Department of Medicine, The Graduate School, Yonsei University, Seoul, Korea
192 Department of Psychiatry, Institution of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Korea
193 Department of Psychiatry, Pochon CHA University College of Medicine, Seongnam, Korea
194 Yonsei University Research Institute of Science for Aging, Yonsei University, Seoul, Korea
195 rdf:type schema:Organization
196 grid-institutes:grid.251916.8 schema:alternateName Ajou University School of Medicine, San 5, Wonchun-dong, Youngtong-gu, 443-749, Suwon-si, Korea
197 schema:name Ajou University School of Medicine, San 5, Wonchun-dong, Youngtong-gu, 443-749, Suwon-si, Korea
198 Department of Psychiatry, Ajou Institute of Aging, Ajou University School of Medicine, Suwon, Korea
199 Memory Impairment Center, Ajou University Hospital, Suwon, Korea
200 rdf:type schema:Organization
201 grid-institutes:grid.413028.c schema:alternateName Department of Food and Nutrition, Yeungnam University, Gyeongsan, Korea
202 schema:name Department of Food and Nutrition, Yeungnam University, Gyeongsan, Korea
203 rdf:type schema:Organization
204 grid-institutes:grid.415520.7 schema:alternateName Department of Family Medicine, Seoul Medical Center, Seoul, Korea
205 schema:name Department of Family Medicine, Seoul Medical Center, Seoul, Korea
206 rdf:type schema:Organization
 




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


...