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17327333
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http://linkedlifedata.com/resource/pubmed/id/17327333
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pubmed-article:17327333
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pubmed:issue
3
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pubmed-article:17327333
pubmed:dateCreated
2007-2-28
lld:pubmed
pubmed-article:17327333
pubmed:abstractText
We examined whether proteomic technologies identify novel urine proteins associated with subsequent development of diabetic nephropathy in subjects with type 2 diabetes before evidence of microalbuminuria.
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eng
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IM
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pubmed:status
MEDLINE
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pubmed:month
Mar
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pubmed-article:17327333
pubmed:issn
1935-5548
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pubmed-article:17327333
pubmed:issnType
Electronic
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pubmed-article:17327333
pubmed:volume
30
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pubmed:owner
NLM
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pubmed-article:17327333
pubmed:authorsComplete
Y
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pubmed-article:17327333
pubmed:pagination
638-43
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pubmed-article:17327333
pubmed:dateRevised
2007-12-3
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pubmed:year
2007
lld:pubmed
pubmed-article:17327333
pubmed:articleTitle
Prediction of diabetic nephropathy using urine proteomic profiling 10 years prior to development of nephropathy.
lld:pubmed
pubmed-article:17327333
pubmed:affiliation
Genomics Center and DF/HCC Cancer Proteomics Core, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
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pubmed-article:17327333
pubmed:publicationType
Journal Article
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pubmed-article:17327333
pubmed:publicationType
Research Support, N.I.H., Extramural
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