Ontology type: schema:MonetaryGrant
2013-2016
FUNDING AMOUNT700000 CNY
ABSTRACTType 2 diabetes mellitus (T2DM) is a complex metablic disease and associated with insulin resistance and mitochondrial dysfunction. Our results have investigated that the common mutations of mitochondrial DNA (mtDNA) are G3316A and T3394C in T2DM patients, and the specific mutations include both T3593C and A4833G in one case. Moreover, we also confirmed that elevated plasma levels of total free fatty acids (FFA) and saturated fatty acids with decrease of mtDNA, which is related to HOMA-IR. Recent studies imply that lower mtDNA content is related to DNA methylation disorders; FFA metabolism, mtDNA methylation and insulin signaling are regulated by miR-29a/b and miR-33a/b. We suppose that microRNAs (such as miR-29a/b and -33a/b) as key regulators involve in the DNA methylation disorder and mitochondrial dysfunction in T2DM with mtDNA damages. To verify the hypothesis, we will analyze the levels of 5-methylcytosine and 5-hydroxylmethycytosine of mtDNA in the models of differently expressed miR-29a/b and -33a/b after treatment with different concentrations of glucose, fatty acids and insulin. These results will demonstrate that whether these mutations play a role in the pathogenesis of T2DM, and the effects of miR-29a/b and -33a/b expression on mitochondrial dysfunction and disorder of 5-Hydroxymethylcytosine in Typ More... »
URL
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/2008/2211",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"type": "DefinedTerm"
}
],
"amount": {
"currency": "CNY",
"type": "MonetaryAmount",
"value": "700000"
},
"description": "Type 2 diabetes mellitus (T2DM) is a complex metablic disease and associated with insulin resistance and mitochondrial dysfunction. Our results have investigated that the common mutations of mitochondrial DNA (mtDNA) are G3316A and T3394C in T2DM patients, and the specific mutations include both T3593C and A4833G in one case. Moreover, we also confirmed that elevated plasma levels of total free fatty acids (FFA) and saturated fatty acids with decrease of mtDNA, which is related to HOMA-IR. Recent studies imply that lower mtDNA content is related to DNA methylation disorders; FFA metabolism, mtDNA methylation and insulin signaling are regulated by miR-29a/b and miR-33a/b. We suppose that microRNAs (such as miR-29a/b and -33a/b) as key regulators involve in the DNA methylation disorder and mitochondrial dysfunction in T2DM with mtDNA damages. To verify the hypothesis, we will analyze the levels of 5-methylcytosine and 5-hydroxylmethycytosine of mtDNA in the models of differently expressed miR-29a/b and -33a/b after treatment with different concentrations of glucose, fatty acids and insulin. These results will demonstrate that whether these mutations play a role in the pathogenesis of T2DM, and the effects of miR-29a/b and -33a/b expression on mitochondrial dysfunction and disorder of 5-Hydroxymethylcytosine in Typ",
"endDate": "2016-12-31T00:00:00Z",
"funder": {
"id": "https://www.grid.ac/institutes/grid.419696.5",
"type": "Organization"
},
"id": "sg:grant.7174734",
"identifier": [
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"7174734"
]
},
{
"name": "nsfc_id",
"type": "PropertyValue",
"value": [
"81271919"
]
}
],
"inLanguage": [
"zh"
],
"keywords": [
"FFA metabolism",
"Recent studies",
"hypothesis",
"-33a/b",
"expression",
"specific mutations",
"cases",
"T2DM",
"disorders",
"Typ",
"-33a/",
"glucose",
"total free fatty acids",
"T2DM patients",
"DNA methylation disorder",
"results",
"treatment",
"HOMA-IR",
"saturated fatty acids",
"mitochondrial DNA",
"common mutations",
"key regulator",
"complex metablic disease",
"mitochondrial dysfunction",
"T3593C",
"effect",
"model",
"A4833G",
"type 2 diabetes mellitus",
"levels",
"role",
"G3316A",
"T3394C",
"mtDNA methylation",
"Mitochondrial Hydroxymethylation Disturbance",
"Mitochondrial Dysfunction Induced",
"plasma levels",
"insulin resistance",
"fatty acids",
"insulin",
"pathogenesis",
"miR-33a/b",
"microRNAs",
"different concentrations",
"mutations",
"mtDNA damage",
"miR-29/33",
"low mtDNA content",
"decrease",
"miR-29a/b"
],
"name": "The Role of miR-29/33 in Mitochondrial Hydroxymethylation Disturbance and Mitochondrial Dysfunction Induced by mtDNA Damage",
"recipient": [
{
"id": "https://www.grid.ac/institutes/grid.49470.3e",
"type": "Organization"
},
{
"affiliation": {
"id": "https://www.grid.ac/institutes/grid.49470.3e",
"name": "Wuhan University",
"type": "Organization"
},
"familyName": "Liu",
"givenName": "Song Mei",
"id": "sg:person.013572731400.00",
"type": "Person"
},
{
"member": "sg:person.013572731400.00",
"roleName": "PI",
"type": "Role"
}
],
"sameAs": [
"https://app.dimensions.ai/details/grant/grant.7174734"
],
"sdDataset": "grants",
"sdDatePublished": "2019-03-07T12:43",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com.uberresearch.data.processor/core_data/20181219_192338/projects/base/nsfc_projects_5.xml.gz",
"startDate": "2013-01-01T00:00:00Z",
"type": "MonetaryGrant",
"url": "http://npd.nsfc.gov.cn/projectDetail.action?pid=81271919"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
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/grant.7174734'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/grant.7174734'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/grant.7174734'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/grant.7174734'
This table displays all metadata directly associated to this object as RDF triples.
94 TRIPLES
19 PREDICATES
72 URIs
64 LITERALS
5 BLANK NODES
Subject | Predicate | Object | |
---|---|---|---|
1 | sg:grant.7174734 | schema:about | anzsrc-for:2211 |
2 | ″ | schema:amount | Ncd58d65fb7964d4bbd17a56549926032 |
3 | ″ | schema:description | Type 2 diabetes mellitus (T2DM) is a complex metablic disease and associated with insulin resistance and mitochondrial dysfunction. Our results have investigated that the common mutations of mitochondrial DNA (mtDNA) are G3316A and T3394C in T2DM patients, and the specific mutations include both T3593C and A4833G in one case. Moreover, we also confirmed that elevated plasma levels of total free fatty acids (FFA) and saturated fatty acids with decrease of mtDNA, which is related to HOMA-IR. Recent studies imply that lower mtDNA content is related to DNA methylation disorders; FFA metabolism, mtDNA methylation and insulin signaling are regulated by miR-29a/b and miR-33a/b. We suppose that microRNAs (such as miR-29a/b and -33a/b) as key regulators involve in the DNA methylation disorder and mitochondrial dysfunction in T2DM with mtDNA damages. To verify the hypothesis, we will analyze the levels of 5-methylcytosine and 5-hydroxylmethycytosine of mtDNA in the models of differently expressed miR-29a/b and -33a/b after treatment with different concentrations of glucose, fatty acids and insulin. These results will demonstrate that whether these mutations play a role in the pathogenesis of T2DM, and the effects of miR-29a/b and -33a/b expression on mitochondrial dysfunction and disorder of 5-Hydroxymethylcytosine in Typ |
4 | ″ | schema:endDate | 2016-12-31T00:00:00Z |
5 | ″ | schema:funder | https://www.grid.ac/institutes/grid.419696.5 |
6 | ″ | schema:identifier | N3382805ce9e04f579efb72df13043741 |
7 | ″ | ″ | N8fcf61fc800449b49cb7336742bdfc7d |
8 | ″ | schema:inLanguage | zh |
9 | ″ | schema:keywords | -33a/ |
10 | ″ | ″ | -33a/b |
11 | ″ | ″ | A4833G |
12 | ″ | ″ | DNA methylation disorder |
13 | ″ | ″ | FFA metabolism |
14 | ″ | ″ | G3316A |
15 | ″ | ″ | HOMA-IR |
16 | ″ | ″ | Mitochondrial Dysfunction Induced |
17 | ″ | ″ | Mitochondrial Hydroxymethylation Disturbance |
18 | ″ | ″ | Recent studies |
19 | ″ | ″ | T2DM |
20 | ″ | ″ | T2DM patients |
21 | ″ | ″ | T3394C |
22 | ″ | ″ | T3593C |
23 | ″ | ″ | Typ |
24 | ″ | ″ | cases |
25 | ″ | ″ | common mutations |
26 | ″ | ″ | complex metablic disease |
27 | ″ | ″ | decrease |
28 | ″ | ″ | different concentrations |
29 | ″ | ″ | disorders |
30 | ″ | ″ | effect |
31 | ″ | ″ | expression |
32 | ″ | ″ | fatty acids |
33 | ″ | ″ | glucose |
34 | ″ | ″ | hypothesis |
35 | ″ | ″ | insulin |
36 | ″ | ″ | insulin resistance |
37 | ″ | ″ | key regulator |
38 | ″ | ″ | levels |
39 | ″ | ″ | low mtDNA content |
40 | ″ | ″ | miR-29/33 |
41 | ″ | ″ | miR-29a/b |
42 | ″ | ″ | miR-33a/b |
43 | ″ | ″ | microRNAs |
44 | ″ | ″ | mitochondrial DNA |
45 | ″ | ″ | mitochondrial dysfunction |
46 | ″ | ″ | model |
47 | ″ | ″ | mtDNA damage |
48 | ″ | ″ | mtDNA methylation |
49 | ″ | ″ | mutations |
50 | ″ | ″ | pathogenesis |
51 | ″ | ″ | plasma levels |
52 | ″ | ″ | results |
53 | ″ | ″ | role |
54 | ″ | ″ | saturated fatty acids |
55 | ″ | ″ | specific mutations |
56 | ″ | ″ | total free fatty acids |
57 | ″ | ″ | treatment |
58 | ″ | ″ | type 2 diabetes mellitus |
59 | ″ | schema:name | The Role of miR-29/33 in Mitochondrial Hydroxymethylation Disturbance and Mitochondrial Dysfunction Induced by mtDNA Damage |
60 | ″ | schema:recipient | Na40cb4ab2f25460096240f873559e0c7 |
61 | ″ | ″ | sg:person.013572731400.00 |
62 | ″ | ″ | https://www.grid.ac/institutes/grid.49470.3e |
63 | ″ | schema:sameAs | https://app.dimensions.ai/details/grant/grant.7174734 |
64 | ″ | schema:sdDatePublished | 2019-03-07T12:43 |
65 | ″ | schema:sdLicense | https://scigraph.springernature.com/explorer/license/ |
66 | ″ | schema:sdPublisher | N104e70fd6739402b8af8ad8440c42a69 |
67 | ″ | schema:startDate | 2013-01-01T00:00:00Z |
68 | ″ | schema:url | http://npd.nsfc.gov.cn/projectDetail.action?pid=81271919 |
69 | ″ | sgo:license | sg:explorer/license/ |
70 | ″ | sgo:sdDataset | grants |
71 | ″ | rdf:type | schema:MonetaryGrant |
72 | N104e70fd6739402b8af8ad8440c42a69 | schema:name | Springer Nature - SN SciGraph project |
73 | ″ | rdf:type | schema:Organization |
74 | N3382805ce9e04f579efb72df13043741 | schema:name | dimensions_id |
75 | ″ | schema:value | 7174734 |
76 | ″ | rdf:type | schema:PropertyValue |
77 | N8fcf61fc800449b49cb7336742bdfc7d | schema:name | nsfc_id |
78 | ″ | schema:value | 81271919 |
79 | ″ | rdf:type | schema:PropertyValue |
80 | Na40cb4ab2f25460096240f873559e0c7 | schema:member | sg:person.013572731400.00 |
81 | ″ | schema:roleName | PI |
82 | ″ | rdf:type | schema:Role |
83 | Ncd58d65fb7964d4bbd17a56549926032 | schema:currency | CNY |
84 | ″ | schema:value | 700000 |
85 | ″ | rdf:type | schema:MonetaryAmount |
86 | anzsrc-for:2211 | schema:inDefinedTermSet | anzsrc-for: |
87 | ″ | rdf:type | schema:DefinedTerm |
88 | sg:person.013572731400.00 | schema:affiliation | https://www.grid.ac/institutes/grid.49470.3e |
89 | ″ | schema:familyName | Liu |
90 | ″ | schema:givenName | Song Mei |
91 | ″ | rdf:type | schema:Person |
92 | https://www.grid.ac/institutes/grid.419696.5 | ″ | schema:Organization |
93 | https://www.grid.ac/institutes/grid.49470.3e | schema:name | Wuhan University |
94 | ″ | rdf:type | schema:Organization |