Correlation between decreased plasma miR-29a and vascular endothelial injury induced by hyperlipidemia View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2022-06-08

AUTHORS

Lina An, Liming Gao, Min Ning, Feng Wu, Feifei Dong, Xiushi Ni, Yiying Wu, Qing Jing, Yanhong Gao

ABSTRACT

BackgroundHyperlipidemia is a major risk factor for vascular endothelial injury and atherosclerosis leading to cardiovascular diseases. Early diagnosis of vascular endothelial injury is important for the prevention and prognosis of cardiovascular diseases. This study aimed to investigate sensitive circulating microRNA (miRNA) as a potential diagnostic biomarker of vascular endothelial injury in a hyperlipidemic rat model.MethodsThe miRNA expression profile was detected by miRNA microarray. The hyperlipidemic rat model was established by intraperitoneal injection of vitamin D3 combined with a high-fat diet. Plasma miRNA levels were measured by quantitative reverse transcriptase polymerase chain reaction (qRT-PCR).ResultsNo significant difference was found in the types of highly expressed miRNAs between human umbilical artery endothelial cells (HUAEC) and human umbilical vein endothelial cells (HUVEC). A total of 10 highly expressed miRNAs in endothelial cells were selected as candidate miRNAs, including miR-21, miR-126, let-7a, miR-23a, miR-221, miR-125b, miR-26a, miR-29a, miR-16, and miR-100. The plasma levels of let-7a, miR-126, miR-21, and miR-26a were significantly elevated in hyperlipidemic rats at 30 and 50 days after modeling, while the plasma level of miR-29a was significantly decreased. No significant change was found in the plasma levels of miR-125b, miR-23a, miR-221, miR-100, and miR-16. Interestingly, a significant reduction in plasma miR-29 level was detected as early as 20 days after modeling, which was earlier than for soluble intercellular adhesion molecule‑1 (sICAM-1).ConclusionThe plasma levels of endothelial cell-enriched miRNAs were correlated with vascular endothelial injury induced by hyperlipidemia. miR-29a might serve as a potential early diagnostic biomarker of endothelial injury-related diseases. More... »

PAGES

1-8

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00059-022-05121-x

DOI

http://dx.doi.org/10.1007/s00059-022-05121-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1148517981

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/35674773


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/2008/1102", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Cardiorespiratory Medicine and Haematology", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Cardiology, Changhai Hospital, Naval medical University, 168 Changhai Road, 200433, Shanghai, China", 
          "id": "http://www.grid.ac/institutes/grid.411525.6", 
          "name": [
            "Department of Geriatrics, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 100 Haining Road, 200080, Shanghai, China", 
            "Department of Cardiology, Changhai Hospital, Naval medical University, 168 Changhai Road, 200433, Shanghai, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "An", 
        "givenName": "Lina", 
        "id": "sg:person.01246540034.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01246540034.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Cardiovascular Medicine, Shanghai East Hospital, Tongji University School of Medicine, 150 Jimo Road, 200092, Shanghai, China", 
          "id": "http://www.grid.ac/institutes/grid.452753.2", 
          "name": [
            "Department of Cardiovascular Medicine, Shanghai East Hospital, Tongji University School of Medicine, 150 Jimo Road, 200092, Shanghai, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gao", 
        "givenName": "Liming", 
        "id": "sg:person.016141142234.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016141142234.37"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Geriatrics, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 100 Haining Road, 200080, Shanghai, China", 
          "id": "http://www.grid.ac/institutes/grid.412478.c", 
          "name": [
            "Department of Geriatrics, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 100 Haining Road, 200080, Shanghai, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ning", 
        "givenName": "Min", 
        "id": "sg:person.0622541466.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0622541466.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Cardiology, Changhai Hospital, Naval medical University, 168 Changhai Road, 200433, Shanghai, China", 
          "id": "http://www.grid.ac/institutes/grid.411525.6", 
          "name": [
            "Department of Cardiology, Changhai Hospital, Naval medical University, 168 Changhai Road, 200433, Shanghai, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wu", 
        "givenName": "Feng", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Cardiology, Changhai Hospital, Naval medical University, 168 Changhai Road, 200433, Shanghai, China", 
          "id": "http://www.grid.ac/institutes/grid.411525.6", 
          "name": [
            "Department of Cardiology, Changhai Hospital, Naval medical University, 168 Changhai Road, 200433, Shanghai, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dong", 
        "givenName": "Feifei", 
        "id": "sg:person.012351257633.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012351257633.83"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Geriatrics, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 100 Haining Road, 200080, Shanghai, China", 
          "id": "http://www.grid.ac/institutes/grid.412478.c", 
          "name": [
            "Department of Geriatrics, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 100 Haining Road, 200080, Shanghai, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ni", 
        "givenName": "Xiushi", 
        "id": "sg:person.01346145566.99", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01346145566.99"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Geriatrics, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 100 Haining Road, 200080, Shanghai, China", 
          "id": "http://www.grid.ac/institutes/grid.412478.c", 
          "name": [
            "Department of Geriatrics, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 100 Haining Road, 200080, Shanghai, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wu", 
        "givenName": "Yiying", 
        "id": "sg:person.01231717166.80", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01231717166.80"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Key Laboratory of Stem Cell Biology, Shanghai Jiao Tong University School of Medicine (SJTUSM) & Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), 320 Yueyang Road, 200031, Shanghai, China", 
          "id": "http://www.grid.ac/institutes/grid.16821.3c", 
          "name": [
            "Key Laboratory of Stem Cell Biology, Shanghai Jiao Tong University School of Medicine (SJTUSM) & Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), 320 Yueyang Road, 200031, Shanghai, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jing", 
        "givenName": "Qing", 
        "id": "sg:person.01007122076.70", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01007122076.70"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Geriatrics, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 100 Haining Road, 200080, Shanghai, China", 
          "id": "http://www.grid.ac/institutes/grid.412478.c", 
          "name": [
            "Department of Geriatrics, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 100 Haining Road, 200080, Shanghai, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gao", 
        "givenName": "Yanhong", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s12020-018-1753-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1107273453", 
          "https://doi.org/10.1007/s12020-018-1753-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/aps.2018.30", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1104429421", 
          "https://doi.org/10.1038/aps.2018.30"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1684/abc.2016.1160", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053002233", 
          "https://doi.org/10.1684/abc.2016.1160"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2022-06-08", 
    "datePublishedReg": "2022-06-08", 
    "description": "BackgroundHyperlipidemia is a\u00a0major risk factor for vascular endothelial injury and atherosclerosis leading to cardiovascular diseases. Early diagnosis of vascular endothelial injury is important for the prevention and prognosis of cardiovascular diseases. This study aimed to investigate sensitive circulating microRNA (miRNA) as a\u00a0potential diagnostic biomarker of vascular endothelial injury in a\u00a0hyperlipidemic rat model.MethodsThe miRNA expression profile was detected by miRNA microarray. The hyperlipidemic rat model was established by intraperitoneal injection of vitamin D3 combined with a\u00a0high-fat diet. Plasma miRNA levels were measured by quantitative reverse transcriptase polymerase chain reaction (qRT-PCR).ResultsNo significant difference was found in the types of highly expressed miRNAs between human umbilical artery endothelial cells (HUAEC) and human umbilical vein endothelial cells (HUVEC). A\u00a0total of 10\u00a0highly expressed miRNAs in endothelial cells were selected as candidate miRNAs, including miR-21, miR-126, let-7a, miR-23a, miR-221, miR-125b, miR-26a, miR-29a, miR-16, and miR-100. The plasma levels of let-7a, miR-126, miR-21, and miR-26a were significantly elevated in hyperlipidemic rats at 30\u00a0and 50\u00a0days after modeling, while the plasma level of miR-29a was significantly decreased. No significant change was found in the plasma levels of miR-125b, miR-23a, miR-221, miR-100, and miR-16. Interestingly, a significant reduction in plasma miR-29 level was detected as early as 20\u00a0days after modeling, which was earlier than for soluble intercellular adhesion molecule\u20111 (sICAM-1).ConclusionThe plasma levels of endothelial cell-enriched miRNAs were correlated with vascular endothelial injury induced by hyperlipidemia. miR-29a might serve as a\u00a0potential early diagnostic biomarker of endothelial injury-related diseases.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s00059-022-05121-x", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1087175", 
        "issn": [
          "0340-9937", 
          "1615-6692"
        ], 
        "name": "Herz", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }
    ], 
    "keywords": [
      "vascular endothelial injury", 
      "endothelial injury", 
      "plasma levels", 
      "hyperlipidemic rat model", 
      "human umbilical vein endothelial cells", 
      "human umbilical artery endothelial cells", 
      "endothelial cells", 
      "cardiovascular disease", 
      "rat model", 
      "diagnostic biomarkers", 
      "soluble intercellular adhesion molecule-1", 
      "potential early diagnostic biomarkers", 
      "miR-126", 
      "miR-29a", 
      "miR-125b", 
      "miR-221", 
      "miR-21", 
      "intercellular adhesion molecule-1", 
      "miR-100", 
      "miR-16", 
      "major risk factor", 
      "high-fat diet", 
      "reverse transcriptase-polymerase chain reaction", 
      "quantitative reverse transcriptase-polymerase chain reaction", 
      "early diagnostic biomarkers", 
      "adhesion molecule-1", 
      "ResultsNo significant differences", 
      "injury-related diseases", 
      "transcriptase-polymerase chain reaction", 
      "potential diagnostic biomarkers", 
      "artery endothelial cells", 
      "plasma miRNA levels", 
      "umbilical vein endothelial cells", 
      "umbilical artery endothelial cells", 
      "vein endothelial cells", 
      "polymerase chain reaction", 
      "hyperlipidemic rats", 
      "risk factors", 
      "intraperitoneal injection", 
      "miR-29 levels", 
      "vitamin D3", 
      "early diagnosis", 
      "molecule-1", 
      "injury", 
      "miRNA expression profiles", 
      "disease", 
      "chain reaction", 
      "miRNA microarray", 
      "let-7a", 
      "hyperlipidemia", 
      "significant differences", 
      "candidate miRNAs", 
      "significant reduction", 
      "miRNA levels", 
      "biomarkers", 
      "significant changes", 
      "expression profiles", 
      "cells", 
      "miRNAs", 
      "days", 
      "BackgroundHyperlipidemia", 
      "levels", 
      "atherosclerosis", 
      "prognosis", 
      "rats", 
      "diagnosis", 
      "prevention", 
      "D3", 
      "diet", 
      "injection", 
      "total", 
      "microarray", 
      "factors", 
      "differences", 
      "plasma", 
      "study", 
      "correlation", 
      "reduction", 
      "profile", 
      "changes", 
      "types", 
      "model", 
      "reaction", 
      "modeling"
    ], 
    "name": "Correlation between decreased plasma miR-29a and vascular endothelial injury induced by hyperlipidemia", 
    "pagination": "1-8", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1148517981"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00059-022-05121-x"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "35674773"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00059-022-05121-x", 
      "https://app.dimensions.ai/details/publication/pub.1148517981"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-09-02T16:08", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220902/entities/gbq_results/article/article_944.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s00059-022-05121-x"
  }
]
 

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/s00059-022-05121-x'

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/s00059-022-05121-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00059-022-05121-x'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00059-022-05121-x'


 

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

215 TRIPLES      21 PREDICATES      110 URIs      99 LITERALS      5 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00059-022-05121-x schema:about anzsrc-for:11
2 anzsrc-for:1102
3 schema:author Na87cdfb5bef64f03852745d911a76859
4 schema:citation sg:pub.10.1007/s12020-018-1753-7
5 sg:pub.10.1038/aps.2018.30
6 sg:pub.10.1684/abc.2016.1160
7 schema:datePublished 2022-06-08
8 schema:datePublishedReg 2022-06-08
9 schema:description BackgroundHyperlipidemia is a major risk factor for vascular endothelial injury and atherosclerosis leading to cardiovascular diseases. Early diagnosis of vascular endothelial injury is important for the prevention and prognosis of cardiovascular diseases. This study aimed to investigate sensitive circulating microRNA (miRNA) as a potential diagnostic biomarker of vascular endothelial injury in a hyperlipidemic rat model.MethodsThe miRNA expression profile was detected by miRNA microarray. The hyperlipidemic rat model was established by intraperitoneal injection of vitamin D3 combined with a high-fat diet. Plasma miRNA levels were measured by quantitative reverse transcriptase polymerase chain reaction (qRT-PCR).ResultsNo significant difference was found in the types of highly expressed miRNAs between human umbilical artery endothelial cells (HUAEC) and human umbilical vein endothelial cells (HUVEC). A total of 10 highly expressed miRNAs in endothelial cells were selected as candidate miRNAs, including miR-21, miR-126, let-7a, miR-23a, miR-221, miR-125b, miR-26a, miR-29a, miR-16, and miR-100. The plasma levels of let-7a, miR-126, miR-21, and miR-26a were significantly elevated in hyperlipidemic rats at 30 and 50 days after modeling, while the plasma level of miR-29a was significantly decreased. No significant change was found in the plasma levels of miR-125b, miR-23a, miR-221, miR-100, and miR-16. Interestingly, a significant reduction in plasma miR-29 level was detected as early as 20 days after modeling, which was earlier than for soluble intercellular adhesion molecule‑1 (sICAM-1).ConclusionThe plasma levels of endothelial cell-enriched miRNAs were correlated with vascular endothelial injury induced by hyperlipidemia. miR-29a might serve as a potential early diagnostic biomarker of endothelial injury-related diseases.
10 schema:genre article
11 schema:isAccessibleForFree false
12 schema:isPartOf sg:journal.1087175
13 schema:keywords BackgroundHyperlipidemia
14 D3
15 ResultsNo significant differences
16 adhesion molecule-1
17 artery endothelial cells
18 atherosclerosis
19 biomarkers
20 candidate miRNAs
21 cardiovascular disease
22 cells
23 chain reaction
24 changes
25 correlation
26 days
27 diagnosis
28 diagnostic biomarkers
29 diet
30 differences
31 disease
32 early diagnosis
33 early diagnostic biomarkers
34 endothelial cells
35 endothelial injury
36 expression profiles
37 factors
38 high-fat diet
39 human umbilical artery endothelial cells
40 human umbilical vein endothelial cells
41 hyperlipidemia
42 hyperlipidemic rat model
43 hyperlipidemic rats
44 injection
45 injury
46 injury-related diseases
47 intercellular adhesion molecule-1
48 intraperitoneal injection
49 let-7a
50 levels
51 major risk factor
52 miR-100
53 miR-125b
54 miR-126
55 miR-16
56 miR-21
57 miR-221
58 miR-29 levels
59 miR-29a
60 miRNA expression profiles
61 miRNA levels
62 miRNA microarray
63 miRNAs
64 microarray
65 model
66 modeling
67 molecule-1
68 plasma
69 plasma levels
70 plasma miRNA levels
71 polymerase chain reaction
72 potential diagnostic biomarkers
73 potential early diagnostic biomarkers
74 prevention
75 profile
76 prognosis
77 quantitative reverse transcriptase-polymerase chain reaction
78 rat model
79 rats
80 reaction
81 reduction
82 reverse transcriptase-polymerase chain reaction
83 risk factors
84 significant changes
85 significant differences
86 significant reduction
87 soluble intercellular adhesion molecule-1
88 study
89 total
90 transcriptase-polymerase chain reaction
91 types
92 umbilical artery endothelial cells
93 umbilical vein endothelial cells
94 vascular endothelial injury
95 vein endothelial cells
96 vitamin D3
97 schema:name Correlation between decreased plasma miR-29a and vascular endothelial injury induced by hyperlipidemia
98 schema:pagination 1-8
99 schema:productId N0f4296fb90b64bca93df54029777ec35
100 N6e85fadadc3d4d43add772c4da805412
101 Ne3db5d38f2a741f38fa3e15eb3176208
102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1148517981
103 https://doi.org/10.1007/s00059-022-05121-x
104 schema:sdDatePublished 2022-09-02T16:08
105 schema:sdLicense https://scigraph.springernature.com/explorer/license/
106 schema:sdPublisher Nbdd6e390b6d04ff69efcdf7a0634e563
107 schema:url https://doi.org/10.1007/s00059-022-05121-x
108 sgo:license sg:explorer/license/
109 sgo:sdDataset articles
110 rdf:type schema:ScholarlyArticle
111 N0f4296fb90b64bca93df54029777ec35 schema:name pubmed_id
112 schema:value 35674773
113 rdf:type schema:PropertyValue
114 N2254c52cb61741e99f280c9ff6349198 schema:affiliation grid-institutes:grid.411525.6
115 schema:familyName Wu
116 schema:givenName Feng
117 rdf:type schema:Person
118 N37c032c11a3e4c1ab1fd4ebb2ae70330 rdf:first sg:person.012351257633.83
119 rdf:rest N407092f0a27a4dd097bef162b52d43fb
120 N39f89e6cc5e34684b93310084f29b071 rdf:first sg:person.016141142234.37
121 rdf:rest N593615d1e33e4d94a7fcbe597947ae11
122 N3b57d98aaad74a49bb9242b33c029e19 rdf:first Nec08b0de43b4474faa9cc1aefd53e5e6
123 rdf:rest rdf:nil
124 N407092f0a27a4dd097bef162b52d43fb rdf:first sg:person.01346145566.99
125 rdf:rest Nb4cdb3dc650f4448b6cbf001d8a78d83
126 N593615d1e33e4d94a7fcbe597947ae11 rdf:first sg:person.0622541466.04
127 rdf:rest Nfa74e1574b084b7dbf79ac4d228d6497
128 N6e85fadadc3d4d43add772c4da805412 schema:name doi
129 schema:value 10.1007/s00059-022-05121-x
130 rdf:type schema:PropertyValue
131 Na87cdfb5bef64f03852745d911a76859 rdf:first sg:person.01246540034.46
132 rdf:rest N39f89e6cc5e34684b93310084f29b071
133 Nb4cdb3dc650f4448b6cbf001d8a78d83 rdf:first sg:person.01231717166.80
134 rdf:rest Necd4a9f165694383af64c8ea5c842679
135 Nbdd6e390b6d04ff69efcdf7a0634e563 schema:name Springer Nature - SN SciGraph project
136 rdf:type schema:Organization
137 Ne3db5d38f2a741f38fa3e15eb3176208 schema:name dimensions_id
138 schema:value pub.1148517981
139 rdf:type schema:PropertyValue
140 Nec08b0de43b4474faa9cc1aefd53e5e6 schema:affiliation grid-institutes:grid.412478.c
141 schema:familyName Gao
142 schema:givenName Yanhong
143 rdf:type schema:Person
144 Necd4a9f165694383af64c8ea5c842679 rdf:first sg:person.01007122076.70
145 rdf:rest N3b57d98aaad74a49bb9242b33c029e19
146 Nfa74e1574b084b7dbf79ac4d228d6497 rdf:first N2254c52cb61741e99f280c9ff6349198
147 rdf:rest N37c032c11a3e4c1ab1fd4ebb2ae70330
148 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
149 schema:name Medical and Health Sciences
150 rdf:type schema:DefinedTerm
151 anzsrc-for:1102 schema:inDefinedTermSet anzsrc-for:
152 schema:name Cardiorespiratory Medicine and Haematology
153 rdf:type schema:DefinedTerm
154 sg:journal.1087175 schema:issn 0340-9937
155 1615-6692
156 schema:name Herz
157 schema:publisher Springer Nature
158 rdf:type schema:Periodical
159 sg:person.01007122076.70 schema:affiliation grid-institutes:grid.16821.3c
160 schema:familyName Jing
161 schema:givenName Qing
162 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01007122076.70
163 rdf:type schema:Person
164 sg:person.01231717166.80 schema:affiliation grid-institutes:grid.412478.c
165 schema:familyName Wu
166 schema:givenName Yiying
167 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01231717166.80
168 rdf:type schema:Person
169 sg:person.012351257633.83 schema:affiliation grid-institutes:grid.411525.6
170 schema:familyName Dong
171 schema:givenName Feifei
172 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012351257633.83
173 rdf:type schema:Person
174 sg:person.01246540034.46 schema:affiliation grid-institutes:grid.411525.6
175 schema:familyName An
176 schema:givenName Lina
177 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01246540034.46
178 rdf:type schema:Person
179 sg:person.01346145566.99 schema:affiliation grid-institutes:grid.412478.c
180 schema:familyName Ni
181 schema:givenName Xiushi
182 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01346145566.99
183 rdf:type schema:Person
184 sg:person.016141142234.37 schema:affiliation grid-institutes:grid.452753.2
185 schema:familyName Gao
186 schema:givenName Liming
187 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016141142234.37
188 rdf:type schema:Person
189 sg:person.0622541466.04 schema:affiliation grid-institutes:grid.412478.c
190 schema:familyName Ning
191 schema:givenName Min
192 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0622541466.04
193 rdf:type schema:Person
194 sg:pub.10.1007/s12020-018-1753-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107273453
195 https://doi.org/10.1007/s12020-018-1753-7
196 rdf:type schema:CreativeWork
197 sg:pub.10.1038/aps.2018.30 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104429421
198 https://doi.org/10.1038/aps.2018.30
199 rdf:type schema:CreativeWork
200 sg:pub.10.1684/abc.2016.1160 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053002233
201 https://doi.org/10.1684/abc.2016.1160
202 rdf:type schema:CreativeWork
203 grid-institutes:grid.16821.3c schema:alternateName Key Laboratory of Stem Cell Biology, Shanghai Jiao Tong University School of Medicine (SJTUSM) & Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), 320 Yueyang Road, 200031, Shanghai, China
204 schema:name Key Laboratory of Stem Cell Biology, Shanghai Jiao Tong University School of Medicine (SJTUSM) & Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), 320 Yueyang Road, 200031, Shanghai, China
205 rdf:type schema:Organization
206 grid-institutes:grid.411525.6 schema:alternateName Department of Cardiology, Changhai Hospital, Naval medical University, 168 Changhai Road, 200433, Shanghai, China
207 schema:name Department of Cardiology, Changhai Hospital, Naval medical University, 168 Changhai Road, 200433, Shanghai, China
208 Department of Geriatrics, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 100 Haining Road, 200080, Shanghai, China
209 rdf:type schema:Organization
210 grid-institutes:grid.412478.c schema:alternateName Department of Geriatrics, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 100 Haining Road, 200080, Shanghai, China
211 schema:name Department of Geriatrics, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 100 Haining Road, 200080, Shanghai, China
212 rdf:type schema:Organization
213 grid-institutes:grid.452753.2 schema:alternateName Department of Cardiovascular Medicine, Shanghai East Hospital, Tongji University School of Medicine, 150 Jimo Road, 200092, Shanghai, China
214 schema:name Department of Cardiovascular Medicine, Shanghai East Hospital, Tongji University School of Medicine, 150 Jimo Road, 200092, Shanghai, China
215 rdf:type schema:Organization
 




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


...