001     872759
005     20210130004301.0
024 7 _ |a 10.1136/gutjnl-2019-318822
|2 doi
024 7 _ |a 0017-5749
|2 ISSN
024 7 _ |a 1468-3288
|2 ISSN
024 7 _ |a 2128/24899
|2 Handle
024 7 _ |a altmetric:62273678
|2 altmetric
024 7 _ |a pmid:31201287
|2 pmid
024 7 _ |a WOS:000538121200034
|2 WOS
037 _ _ |a FZJ-2020-00237
082 _ _ |a 610
100 1 _ |a Nerius, Michael
|0 P:(DE-HGF)0
|b 0
245 _ _ |a GI infections are associated with an increased risk of Parkinson’s disease
260 _ _ |a London
|c 2019
|b BMJ Publishing Group
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 1589806391_31484
|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
520 _ _ |a We have read with interest the recent publication of Perez-Pardo and colleagues1 reporting the role of the TLR4 in the gut–brain axis in Parkinson’s disease (PD). These findings prompted us to investigate the role of common GI infections (GIIs) in the pathogenesis of PD. In this prospective cohort study, we assessed the risk of PD in patients who previously suffered from GIIs compared with the control group not exposed to GIIs (table 1). At study entry (1 January 2005), the analysis sample from health claims data of the largest German health insurer consisted of2 28 485 individuals aged 50 years and older, which were followed for a mean time of 8.6 years (median=11.0 years; IQR=7.6 years). PD and GIIs were defined by ICD-10 codes as described in the supplementary material. Overall, 6195 individuals (2.7%) developed PD and 50 492 individuals (22.1%) were affected by any GII during the observation period between 2005 and 2015. The most frequent GIIs were those that caused infectious gastroenteritis and colitis of unspecified origin (IGCUs; 39 093 individuals, 17.1%), followed by viral intestinal infections (VIIs; 9328 individuals, 4.1%) and bacterial intestinal infections (BIIs; 9298 individuals, 4.1%). The cumulative incidence of PD was significantly higher among individuals with GIIs (p<0.001, online supplementary figure S1). Multivariable analyses (table 2) using Cox regression to compute HRs revealed an increased risk of PD in patients with GIIs when compared with the control group (HR=1.42; 95% CI 1.33 to 1.52). Subgroup analyses (table 2) revealed positive associations of GIIs for men (HR=1.48; 95% CI 1.34 to 1.63), women (HR=1.38; 95% CI 1.27 to 1.50), individuals aged 70 years or older (HR=1.25; 95% CI 1.04 to 1.49) and individuals with (HR=1.40; 95% CI 1.23 to 1.59) or without chronic obstructive pulmonary disease (HR=1.43; 95% CI 1.33 to 1.54). To solidify our results, we performed sensitivity analyses and found no remarkable changes compared with our primary analysis (online supplementary table S1). In a secondary analysis, where we considered GIIs separately (online supplementary table S2), BIIs (HR=1.30; 95% CI 1.12 to 1.50), VIIs (HR=1.31; 95% CI 1.14 to 1.50) and IGCUs (HR=1.34; 95% CI 1.24 to 1.44) were each associated with an increased risk of PD.
536 _ _ |a 553 - Physical Basis of Diseases (POF3-553)
|0 G:(DE-HGF)POF3-553
|c POF3-553
|f POF III
|x 0
588 _ _ |a Dataset connected to CrossRef
700 1 _ |a Doblhammer, Gabriele
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Tamgüney, Gültekin
|0 0000-0002-6933-5154
|b 2
|e Corresponding author
773 _ _ |a 10.1136/gutjnl-2019-318822
|g p. gutjnl-2019-318822 -
|0 PERI:(DE-600)1492637-4
|n 6
|p
|t Gut
|v 69
|y 2019
|x 1468-3288
856 4 _ |y Restricted
|z StatID:(DE-HGF)0599
|u https://juser.fz-juelich.de/record/872759/files/1154.full.pdf
856 4 _ |y OpenAccess
|z StatID:(DE-HGF)0510
|u https://juser.fz-juelich.de/record/872759/files/Autorenmanuskript%20GI%20infections%20are%20associated%20with%20an%20increased%20risk%20of%20Parkinson%E2%80%99s%20disease.pdf
856 4 _ |y Restricted
|x pdfa
|z StatID:(DE-HGF)0599
|u https://juser.fz-juelich.de/record/872759/files/1154.full.pdf?subformat=pdfa
909 C O |o oai:juser.fz-juelich.de:872759
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
913 1 _ |a DE-HGF
|b Key Technologies
|l BioSoft – Fundamentals for future Technologies in the fields of Soft Matter and Life Sciences
|1 G:(DE-HGF)POF3-550
|0 G:(DE-HGF)POF3-553
|2 G:(DE-HGF)POF3-500
|v Physical Basis of Diseases
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
914 1 _ |y 2020
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
915 _ _ |a Creative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0
|0 LIC:(DE-HGF)CCBYNCND4
|2 HGFVOC
915 _ _ |a IF >= 15
|0 StatID:(DE-HGF)9915
|2 StatID
|b GUT : 2017
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b GUT : 2017
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
915 _ _ |a WoS
|0 StatID:(DE-HGF)0110
|2 StatID
|b Science Citation Index
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1110
|2 StatID
|b Current Contents - Clinical Medicine
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
915 _ _ |a Allianz-Lizenz
|0 StatID:(DE-HGF)0410
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0310
|2 StatID
|b NCBI Molecular Biology Database
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0320
|2 StatID
|b PubMed Central
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)ICS-6-20110106
|k ICS-6
|l Strukturbiochemie
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)ICS-6-20110106
980 1 _ |a FullTexts
981 _ _ |a I:(DE-Juel1)IBI-7-20200312


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21