• Je něco špatně v tomto záznamu ?

Imbalance of bacteriome profiles within the Finnish Diabetes Prediction and Prevention study: Parallel use of 16S profiling and virome sequencing in stool samples from children with islet autoimmunity and matched controls

O. Cinek, L. Kramna, J. Lin, S. Oikarinen, K. Kolarova, J. Ilonen, O. Simell, R. Veijola, R. Autio, H. Hyöty,

. 2017 ; 18 (7) : 588-598. [pub] 20161117

Jazyk angličtina Země Dánsko

Typ dokumentu časopisecké články, multicentrická studie

Perzistentní odkaz   https://www.medvik.cz/link/bmc18025253

Grantová podpora
NV15-29078A MZ0 CEP - Centrální evidence projektů

BACKGROUND: We set out to explore associations between the stool bacteriome profiles and early-onset islet autoimmunity, taking into account the interactions with the virus component of the microbiome. METHODS: Serial stool samples were longitudinally collected from 18 infants and toddlers with early-onset islet autoimmunity (median age 17.4 months) followed by type 1 diabetes, and 18 tightly matched controls from the Finnish Diabetes Prediction and Prevention (DIPP) cohort. Three stool samples were analyzed, taken 3, 6, and 9 months before the first detection of serum autoantibodies in the case child. The risk of islet autoimmunity was evaluated in relation to the composition of the bacteriome 16S rDNA profiles assessed by mass sequencing, and to the composition of DNA and RNA viromes. RESULTS: Four operational taxonomic units were significantly less abundant in children who later on developed islet autoimmunity as compared to controls-most markedly the species of Bacteroides vulgatus and Bifidobacterium bifidum. The alpha or beta diversity, or the taxonomic levels of bacterial phyla, classes or genera, showed no differences between cases and controls. A correlation analysis suggested a possible relation between CrAssphage signals and quantities of Bacteroides dorei. No apparent associations were seen between development of islet autoimmunity and sequences of yet unknown origin. CONCLUSIONS: The results confirm previous findings that an imbalance within the prevalent Bacteroides genus is associated with islet autoimmunity. The detected quantitative relation of the novel "orphan" bacteriophage CrAssphage with a prevalent species of the Bacteroides genus may exemplify possible modifiers of the bacteriome.

Citace poskytuje Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc18025253
003      
CZ-PrNML
005      
20201030150928.0
007      
ta
008      
180709s2017 dk f 000 0|eng||
009      
AR
024    7_
$a 10.1111/pedi.12468 $2 doi
035    __
$a (PubMed)27860030
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a dk
100    1_
$a Cinek, Ondrej $u Department of Pediatrics, 2nd Faculty of Medicine, Charles University in Prague and University Hospital Motol, Prague, Czech Republic.
245    10
$a Imbalance of bacteriome profiles within the Finnish Diabetes Prediction and Prevention study: Parallel use of 16S profiling and virome sequencing in stool samples from children with islet autoimmunity and matched controls / $c O. Cinek, L. Kramna, J. Lin, S. Oikarinen, K. Kolarova, J. Ilonen, O. Simell, R. Veijola, R. Autio, H. Hyöty,
520    9_
$a BACKGROUND: We set out to explore associations between the stool bacteriome profiles and early-onset islet autoimmunity, taking into account the interactions with the virus component of the microbiome. METHODS: Serial stool samples were longitudinally collected from 18 infants and toddlers with early-onset islet autoimmunity (median age 17.4 months) followed by type 1 diabetes, and 18 tightly matched controls from the Finnish Diabetes Prediction and Prevention (DIPP) cohort. Three stool samples were analyzed, taken 3, 6, and 9 months before the first detection of serum autoantibodies in the case child. The risk of islet autoimmunity was evaluated in relation to the composition of the bacteriome 16S rDNA profiles assessed by mass sequencing, and to the composition of DNA and RNA viromes. RESULTS: Four operational taxonomic units were significantly less abundant in children who later on developed islet autoimmunity as compared to controls-most markedly the species of Bacteroides vulgatus and Bifidobacterium bifidum. The alpha or beta diversity, or the taxonomic levels of bacterial phyla, classes or genera, showed no differences between cases and controls. A correlation analysis suggested a possible relation between CrAssphage signals and quantities of Bacteroides dorei. No apparent associations were seen between development of islet autoimmunity and sequences of yet unknown origin. CONCLUSIONS: The results confirm previous findings that an imbalance within the prevalent Bacteroides genus is associated with islet autoimmunity. The detected quantitative relation of the novel "orphan" bacteriophage CrAssphage with a prevalent species of the Bacteroides genus may exemplify possible modifiers of the bacteriome.
650    _2
$a autoimunitní nemoci $x krev $x epidemiologie $x etiologie $x imunologie $7 D001327
650    12
$a autoimunita $7 D015551
650    _2
$a bakteriofágy $x klasifikace $x imunologie $x izolace a purifikace $7 D001435
650    _2
$a Bacteroides $x klasifikace $x imunologie $x izolace a purifikace $x virologie $7 D001439
650    _2
$a studie případů a kontrol $7 D016022
650    _2
$a dítě $7 D002648
650    _2
$a kohortové studie $7 D015331
650    _2
$a výpočetní biologie $7 D019295
650    _2
$a diabetes mellitus 1. typu $x krev $x epidemiologie $x etiologie $x imunologie $7 D003922
650    _2
$a dysbióza $x imunologie $x mikrobiologie $x patofyziologie $x virologie $7 D064806
650    _2
$a feces $x mikrobiologie $x virologie $7 D005243
650    _2
$a ženské pohlaví $7 D005260
650    _2
$a Finsko $x epidemiologie $7 D005387
650    _2
$a střevní mikroflóra $x imunologie $7 D000069196
650    _2
$a nemocnice univerzitní $7 D006785
650    _2
$a lidé $7 D006801
650    _2
$a Langerhansovy ostrůvky $x imunologie $7 D007515
650    _2
$a longitudinální studie $7 D008137
650    _2
$a mužské pohlaví $7 D008297
650    _2
$a molekulární typizace $7 D058889
650    _2
$a fylogeneze $7 D010802
650    _2
$a prospektivní studie $7 D011446
650    _2
$a bakteriální RNA $x chemie $x metabolismus $7 D012329
650    _2
$a RNA ribozomální 16S $x chemie $x metabolismus $7 D012336
650    _2
$a RNA virová $x chemie $x metabolismus $7 D012367
650    _2
$a riziko $7 D012306
655    _2
$a časopisecké články $7 D016428
655    _2
$a multicentrická studie $7 D016448
700    1_
$a Kramna, Lenka $u Department of Pediatrics, 2nd Faculty of Medicine, Charles University in Prague and University Hospital Motol, Prague, Czech Republic.
700    1_
$a Lin, Jake $u BioMediTech, Computational Biology, University of Tampere, Tampere, Finland.
700    1_
$a Oikarinen, Sami $u School of Medicine, Department of Virology, University of Tampere, Tampere, Finland.
700    1_
$a Kolarova, Katerina $u Department of Pediatrics, 2nd Faculty of Medicine, Charles University in Prague and University Hospital Motol, Prague, Czech Republic.
700    1_
$a Ilonen, Jorma $u Immunogenetics Laboratory, University of Turku and Turku University Hospital, Turku, Finland.
700    1_
$a Simell, Olli $u Department of Pediatrics and Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland. Department of Pediatrics and Adolescent Medicine, Turku University Hospital, Turku, Finland.
700    1_
$a Veijola, Riitta $u Department of Pediatrics, University of Oulu and Oulu University Hospital, Oulu, Finland.
700    1_
$a Autio, Reija $u School of Health Sciences, University of Tampere, Tampere, Finland.
700    1_
$a Hyöty, Heikki $u School of Medicine, Department of Virology, University of Tampere, Tampere, Finland. Fimlab Laboratories, Pirkanmaa Hospital District, Tampere, Finland.
773    0_
$w MED00181048 $t Pediatric diabetes $x 1399-5448 $g Roč. 18, č. 7 (2017), s. 588-598
856    41
$u https://pubmed.ncbi.nlm.nih.gov/27860030 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y a $z 0
990    __
$a 20180709 $b ABA008
991    __
$a 20201030150926 $b ABA008
999    __
$a ok $b bmc $g 1317384 $s 1022174
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2017 $b 18 $c 7 $d 588-598 $e 20161117 $i 1399-5448 $m Pediatric diabetes $n Pediatr Diabetes $x MED00181048
GRA    __
$a NV15-29078A $p MZ0
LZP    __
$a Pubmed-20180709

Najít záznam

Citační ukazatele

Možnosti archivace