Association of the inflammation-related proteome with dementia development at older age: results from a large, prospective, population-based cohort study.

Trares, Kira; Stocker, Hannah; Schöttker, Ben; Bhardwaj, Megha; Brenner, Hermann; Petrera, Agnese; Beyreuther, Konrad; Perna, Laura; Hauck, Stefanie M

doi:10.1186/s13195-022-01063-y

Items
Marc 21

001			181692
005			20240229145654.0
024	7	_	\|a 10.1186/s13195-022-01063-y \|2 doi
024	7	_	\|a pmid:36085081 \|2 pmid
024	7	_	\|a pmc:PMC9461133 \|2 pmc
024	7	_	\|a altmetric:135819252 \|2 altmetric
037	_	_	\|a DKFZ-2022-02168
041	_	_	\|a English
082	_	_	\|a 610
100	1	_	\|a Trares, Kira \|0 P:(DE-He78)b09508a4c4afe85c57dd131eefa689ea \|b 0 \|e First author \|u dkfz
245	_	_	\|a Association of the inflammation-related proteome with dementia development at older age: results from a large, prospective, population-based cohort study.
260	_	_	\|a London \|c 2022 \|b BioMed Central
336	7	_	\|a article \|2 DRIVER
336	7	_	\|a Output Types/Journal article \|2 DataCite
336	7	_	\|a Journal Article \|b journal \|m journal \|0 PUB:(DE-HGF)16 \|s 1663225814_4970 \|2 PUB:(DE-HGF)
336	7	_	\|a ARTICLE \|2 BibTeX
336	7	_	\|a JOURNAL_ARTICLE \|2 ORCID
336	7	_	\|a Journal Article \|0 0 \|2 EndNote
500	_	_	\|a #EA:C070#LA:C070#
520	_	_	\|a Chronic inflammation is a central feature of several forms of dementia. However, few details on the associations of blood-based inflammation-related proteins with dementia incidence have been explored yet.The Olink Target 96 Inflammation panel was measured in baseline serum samples (collected 07/2000-06/2002) of 1782 older adults from a German, population-based cohort study in a case-cohort design. Logistic regression models were used to assess the associations of biomarkers with all-cause dementia, Alzheimer's disease, and vascular dementia incidence.During 17 years of follow-up, 504 participants were diagnosed with dementia, including 163 Alzheimer's disease and 195 vascular dementia cases. After correction for multiple testing, 58 out of 72 tested (80.6%) biomarkers were statistically significantly associated with all-cause dementia, 22 with Alzheimer's disease, and 33 with vascular dementia incidence. We identified four biomarker clusters, among which the strongest representatives, CX3CL1, EN-RAGE, LAP TGF-beta-1, and VEGF-A, were significantly associated with dementia endpoints independently from other inflammation-related proteins. CX3CL1 (odds ratio [95% confidence interval] per 1 standard deviation increase: 1.41 [1.24-1.60]) and EN-RAGE (1.41 [1.25-1.60]) were associated with all-cause dementia incidence, EN-RAGE (1.51 [1.25-1.83]) and LAP TGF-beta-1 (1.46 [1.21-1.76]) with Alzheimer's disease incidence, and VEGF-A (1.43 [1.20-1.70]) with vascular dementia incidence. All named associations were stronger among APOE ε4-negative subjects.With this large, population-based cohort study, we show for the first time that the majority of inflammation-related proteins measured in blood samples are associated with total dementia incidence. Future studies should concentrate not only on single biomarkers but also on the complex relationships in biomarker clusters.
536	_	_	\|a 313 - Krebsrisikofaktoren und Prävention (POF4-313) \|0 G:(DE-HGF)POF4-313 \|c POF4-313 \|f POF IV \|x 0
588	_	_	\|a Dataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de
650	_	7	\|a Alzheimer’s disease \|2 Other
650	_	7	\|a Biomarker \|2 Other
650	_	7	\|a Cohort study \|2 Other
650	_	7	\|a Dementia \|2 Other
650	_	7	\|a Inflammation \|2 Other
650	_	7	\|a Vascular dementia \|2 Other
650	_	7	\|a Proteome \|2 NLM Chemicals
650	_	7	\|a Transforming Growth Factor beta1 \|2 NLM Chemicals
650	_	7	\|a Vascular Endothelial Growth Factor A \|2 NLM Chemicals
650	_	2	\|a Aged \|2 MeSH
650	_	2	\|a Alzheimer Disease: epidemiology \|2 MeSH
650	_	2	\|a Cohort Studies \|2 MeSH
650	_	2	\|a Dementia, Vascular: epidemiology \|2 MeSH
650	_	2	\|a Humans \|2 MeSH
650	_	2	\|a Inflammation: epidemiology \|2 MeSH
650	_	2	\|a Prospective Studies \|2 MeSH
650	_	2	\|a Proteome \|2 MeSH
650	_	2	\|a Transforming Growth Factor beta1 \|2 MeSH
650	_	2	\|a Vascular Endothelial Growth Factor A \|2 MeSH
700	1	_	\|a Bhardwaj, Megha \|0 P:(DE-He78)ac7aed57f26354e8a484b5d257f7bada \|b 1 \|u dkfz
700	1	_	\|a Perna, Laura \|b 2
700	1	_	\|a Stocker, Hannah \|0 P:(DE-He78)104fae0755c89365b7ae32238b3f1f52 \|b 3 \|u dkfz
700	1	_	\|a Petrera, Agnese \|b 4
700	1	_	\|a Hauck, Stefanie M \|b 5
700	1	_	\|a Beyreuther, Konrad \|b 6
700	1	_	\|a Brenner, Hermann \|0 P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2 \|b 7 \|u dkfz
700	1	_	\|a Schöttker, Ben \|0 P:(DE-He78)c67a12496b8aac150c0eef888d808d46 \|b 8 \|e Last author \|u dkfz
773	_	_	\|a 10.1186/s13195-022-01063-y \|g Vol. 14, no. 1, p. 128 \|0 PERI:(DE-600)2506521-X \|n 1 \|p 128 \|t Alzheimer's research & therapy \|v 14 \|y 2022 \|x 1758-9193
909	C	O	\|o oai:inrepo02.dkfz.de:181692 \|p VDB
910	1	_	\|a Deutsches Krebsforschungszentrum \|0 I:(DE-588b)2036810-0 \|k DKFZ \|b 0 \|6 P:(DE-He78)b09508a4c4afe85c57dd131eefa689ea
910	1	_	\|a Deutsches Krebsforschungszentrum \|0 I:(DE-588b)2036810-0 \|k DKFZ \|b 1 \|6 P:(DE-He78)ac7aed57f26354e8a484b5d257f7bada
910	1	_	\|a Deutsches Krebsforschungszentrum \|0 I:(DE-588b)2036810-0 \|k DKFZ \|b 3 \|6 P:(DE-He78)104fae0755c89365b7ae32238b3f1f52
910	1	_	\|a Deutsches Krebsforschungszentrum \|0 I:(DE-588b)2036810-0 \|k DKFZ \|b 7 \|6 P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2
910	1	_	\|a Deutsches Krebsforschungszentrum \|0 I:(DE-588b)2036810-0 \|k DKFZ \|b 8 \|6 P:(DE-He78)c67a12496b8aac150c0eef888d808d46
913	1	_	\|a DE-HGF \|b Gesundheit \|l Krebsforschung \|1 G:(DE-HGF)POF4-310 \|0 G:(DE-HGF)POF4-313 \|3 G:(DE-HGF)POF4 \|2 G:(DE-HGF)POF4-300 \|4 G:(DE-HGF)POF \|v Krebsrisikofaktoren und Prävention \|x 0
914	1	_	\|y 2022
915	_	_	\|a Creative Commons Attribution CC BY (No Version) \|0 LIC:(DE-HGF)CCBYNV \|2 V:(DE-HGF) \|b DOAJ \|d 2021-05-04
915	_	_	\|a DBCoverage \|0 StatID:(DE-HGF)0160 \|2 StatID \|b Essential Science Indicators \|d 2021-05-04
915	_	_	\|a WoS \|0 StatID:(DE-HGF)0113 \|2 StatID \|b Science Citation Index Expanded \|d 2021-05-04
915	_	_	\|a Article Processing Charges \|0 StatID:(DE-HGF)0561 \|2 StatID \|d 2021-05-04
915	_	_	\|a Fees \|0 StatID:(DE-HGF)0700 \|2 StatID \|d 2021-05-04
915	_	_	\|a JCR \|0 StatID:(DE-HGF)0100 \|2 StatID \|b ALZHEIMERS RES THER : 2021 \|d 2022-11-08
915	_	_	\|a DBCoverage \|0 StatID:(DE-HGF)0200 \|2 StatID \|b SCOPUS \|d 2022-11-08
915	_	_	\|a DBCoverage \|0 StatID:(DE-HGF)0300 \|2 StatID \|b Medline \|d 2022-11-08
915	_	_	\|a DBCoverage \|0 StatID:(DE-HGF)0501 \|2 StatID \|b DOAJ Seal \|d 2021-02-14T16:18:57Z
915	_	_	\|a DBCoverage \|0 StatID:(DE-HGF)0500 \|2 StatID \|b DOAJ \|d 2021-02-14T16:18:57Z
915	_	_	\|a Peer Review \|0 StatID:(DE-HGF)0030 \|2 StatID \|b DOAJ : Peer review \|d 2021-02-14T16:18:57Z
915	_	_	\|a DBCoverage \|0 StatID:(DE-HGF)0600 \|2 StatID \|b Ebsco Academic Search \|d 2022-11-08
915	_	_	\|a Peer Review \|0 StatID:(DE-HGF)0030 \|2 StatID \|b ASC \|d 2022-11-08
915	_	_	\|a DBCoverage \|0 StatID:(DE-HGF)0199 \|2 StatID \|b Clarivate Analytics Master Journal List \|d 2022-11-08
915	_	_	\|a DBCoverage \|0 StatID:(DE-HGF)0150 \|2 StatID \|b Web of Science Core Collection \|d 2022-11-08
915	_	_	\|a DBCoverage \|0 StatID:(DE-HGF)1110 \|2 StatID \|b Current Contents - Clinical Medicine \|d 2022-11-08
915	_	_	\|a IF >= 5 \|0 StatID:(DE-HGF)9905 \|2 StatID \|b ALZHEIMERS RES THER : 2021 \|d 2022-11-08
920	2	_	\|0 I:(DE-He78)C070-20160331 \|k C070 \|l C070 Klinische Epidemiologie und Alternf. \|x 0
920	1	_	\|0 I:(DE-He78)C070-20160331 \|k C070 \|l C070 Klinische Epidemiologie und Alternf. \|x 0
920	0	_	\|0 I:(DE-He78)C070-20160331 \|k C070 \|l C070 Klinische Epidemiologie und Alternf. \|x 0
980	_	_	\|a journal
980	_	_	\|a VDB
980	_	_	\|a I:(DE-He78)C070-20160331
980	_	_	\|a UNRESTRICTED

Library	Collection	CLSMajor	CLSMinor	Language	Author

Marc 21

guest :: login DKFZ
		Search		Submit		Personalize Your alerts Your baskets Your searches		Help