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Anna Andreasson

Bio: Anna Andreasson is an academic researcher from Karolinska Institutet. The author has contributed to research in topics: Population & Irritable bowel syndrome. The author has an hindex of 31, co-authored 131 publications receiving 2675 citations. Previous affiliations of Anna Andreasson include Macquarie University & Karolinska University Hospital.


Papers
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Journal ArticleDOI
TL;DR: This work used shotgun metagenomics of mucosal biopsies to explore the microbial communities’ compositions of terminal ileum and large intestine in 5 healthy individuals, and details which species are involved with the tryptophan/indole pathway and the antimicrobial resistance biogeography along the intestine.
Abstract: Gut mucosal microbes evolved closest to the host, developing specialized local communities. There is, however, insufficient knowledge of these communities as most studies have employed sequencing technologies to investigate faecal microbiota only. This work used shotgun metagenomics of mucosal biopsies to explore the microbial communities' compositions of terminal ileum and large intestine in 5 healthy individuals. Functional annotations and genome-scale metabolic modelling of selected species were then employed to identify local functional enrichments. While faecal metagenomics provided a good approximation of the average gut mucosal microbiome composition, mucosal biopsies allowed detecting the subtle variations of local microbial communities. Given their significant enrichment in the mucosal microbiota, we highlight the roles of Bacteroides species and describe the antimicrobial resistance biogeography along the intestine. We also detail which species, at which locations, are involved with the tryptophan/indole pathway, whose malfunctioning has been linked to pathologies including inflammatory bowel disease. Our study thus provides invaluable resources for investigating mechanisms connecting gut microbiota and host pathophysiology.

308 citations

Journal ArticleDOI
Alexander Kurilshikov1, Carolina Medina-Gomez2, Rodrigo Bacigalupe3, Djawad Radjabzadeh2, Jun Wang3, Jun Wang4, Ayse Demirkan5, Ayse Demirkan1, Caroline I. Le Roy6, Juan Antonio Raygoza Garay7, Casey T. Finnicum8, Xingrong Liu9, Daria V. Zhernakova1, Marc Jan Bonder1, Tue H. Hansen10, Fabian Frost11, Malte C. Rühlemann12, Williams Turpin7, Jee-Young Moon13, Han-Na Kim14, Kreete Lüll15, Elad Barkan16, Shiraz A. Shah17, Myriam Fornage18, Joanna Szopinska-Tokov, Zachary D. Wallen19, Dmitrii Borisevich10, Lars Agréus9, Anna Andreasson20, Corinna Bang12, Larbi Bedrani7, Jordana T. Bell6, Hans Bisgaard17, Michael Boehnke21, Dorret I. Boomsma22, Robert D. Burk13, Annique Claringbould1, Kenneth Croitoru7, Gareth E. Davies22, Gareth E. Davies8, Cornelia M. van Duijn23, Cornelia M. van Duijn2, Liesbeth Duijts2, Gwen Falony3, Jingyuan Fu1, Adriaan van der Graaf1, Torben Hansen10, Georg Homuth11, David A. Hughes24, Richard G. IJzerman25, Matthew A. Jackson6, Matthew A. Jackson23, Vincent W. V. Jaddoe2, Marie Joossens3, Torben Jørgensen10, Daniel Keszthelyi26, Rob Knight27, Markku Laakso28, Matthias Laudes, Lenore J. Launer29, Wolfgang Lieb12, Aldons J. Lusis30, Ad A.M. Masclee26, Henriette A. Moll2, Zlatan Mujagic26, Qi Qibin13, Daphna Rothschild16, Hocheol Shin14, Søren J. Sørensen10, Claire J. Steves6, Jonathan Thorsen17, Nicholas J. Timpson24, Raul Y. Tito3, Sara Vieira-Silva3, Uwe Völker11, Henry Völzke11, Urmo Võsa1, Kaitlin H Wade24, Susanna Walter31, Kyoko Watanabe22, Stefan Weiss11, Frank Ulrich Weiss11, Omer Weissbrod32, Harm-Jan Westra1, Gonneke Willemsen22, Haydeh Payami19, Daisy Jonkers26, Alejandro Arias Vasquez33, Eco J. C. de Geus22, Katie A. Meyer34, Jakob Stokholm17, Eran Segal16, Elin Org15, Cisca Wijmenga1, Hyung Lae Kim35, Robert C. Kaplan36, Tim D. Spector6, André G. Uitterlinden2, Fernando Rivadeneira2, Andre Franke12, Markus M. Lerch11, Lude Franke1, Serena Sanna37, Serena Sanna1, Mauro D'Amato, Oluf Pedersen10, Andrew D. Paterson7, Robert Kraaij2, Jeroen Raes3, Alexandra Zhernakova1 
TL;DR: In this article, the MiBioGen consortium curated and analyzed genome-wide genotypes and 16S fecal microbiome data from 18,340 individuals (24 cohorts) and found high variability across cohorts: only 9 of 410 genera were detected in more than 95% of samples.
Abstract: To study the effect of host genetics on gut microbiome composition, the MiBioGen consortium curated and analyzed genome-wide genotypes and 16S fecal microbiome data from 18,340 individuals (24 cohorts). Microbial composition showed high variability across cohorts: only 9 of 410 genera were detected in more than 95% of samples. A genome-wide association study of host genetic variation regarding microbial taxa identified 31 loci affecting the microbiome at a genome-wide significant (P < 5 × 10−8) threshold. One locus, the lactase (LCT) gene locus, reached study-wide significance (genome-wide association study signal: P = 1.28 × 10−20), and it showed an age-dependent association with Bifidobacterium abundance. Other associations were suggestive (1.95 × 10−10 < P < 5 × 10−8) but enriched for taxa showing high heritability and for genes expressed in the intestine and brain. A phenome-wide association study and Mendelian randomization identified enrichment of microbiome trait loci in the metabolic, nutrition and environment domains and suggested the microbiome might have causal effects in ulcerative colitis and rheumatoid arthritis.

287 citations

Posted ContentDOI
Alexander Kurilshikov1, Carolina Medina-Gomez2, Rodrigo Bacigalupe3, Djawad Radjabzadeh2, Jun Wang4, Ayse Demirkan5, Ayse Demirkan1, Caroline I. Le Roy6, Juan Antonio Raygoza Garay7, Juan Antonio Raygoza Garay8, Casey T. Finnicum9, Xingrong Liu10, Daria V. Zhernakova11, Daria V. Zhernakova1, Marc Jan Bonder1, Tue H. Hansen12, Fabian Frost13, Malte C. Rühlemann14, Williams Turpin7, Williams Turpin8, Jee-Young Moon15, Han-Na Kim16, Kreete Lüll17, Elad Barkan18, Shiraz A. Shah19, Myriam Fornage20, Joanna Szopinska-Tokov, Zachary D. Wallen21, Dmitrii Borisevich12, Lars Agréus10, Anna Andreasson22, Corinna Bang14, Larbi Bedrani7, Jordana T. Bell6, Hans Bisgaard19, Michael Boehnke23, Dorret I. Boomsma24, Robert D. Burk15, Annique Claringbould1, Kenneth Croitoru8, Kenneth Croitoru7, Gareth E. Davies24, Cornelia M. van Duijn25, Cornelia M. van Duijn2, Liesbeth Duijts2, Gwen Falony3, Jingyuan Fu1, Adriaan van der Graaf1, Torben Hansen12, Georg Homuth13, David A. Hughes26, Richard G. IJzerman27, Matthew A. Jackson25, Matthew A. Jackson6, Vincent W. V. Jaddoe2, Marie Joossens3, Torben Jørgensen12, Daniel Keszthelyi28, Rob Knight29, Markku Laakso30, Matthias Laudes, Lenore J. Launer31, Wolfgang Lieb14, Aldons J. Lusis32, Ad A.M. Masclee28, Henriette A. Moll2, Zlatan Mujagic28, Qi Qibin15, Daphna Rothschild18, Hocheol Shin16, Søren J. Sørensen12, Claire J. Steves6, Jonathan Thorsen19, Nicholas J. Timpson26, Raul Y. Tito3, Sara Vieira-Silva3, Uwe Völker13, Henry Völzke13, Urmo Võsa1, Kaitlin H Wade26, Susanna Walter33, Kyoko Watanabe24, Stefan Weiss13, Frank Ulrich Weiss13, Omer Weissbrod34, Harm-Jan Westra1, Gonneke Willemsen24, Haydeh Payami21, Daisy Jonkers28, Alejandro Arias Vasquez35, Eco J. C. de Geus24, Katie A. Meyer36, Jakob Stokholm19, Eran Segal18, Elin Org17, Cisca Wijmenga1, Hyung Lae Kim37, Robert C. Kaplan38, Tim D. Spector6, André G. Uitterlinden2, Fernando Rivadeneira2, Andre Franke14, Markus M. Lerch13, Lude Franke1, Serena Sanna1, Serena Sanna39, Mauro D'Amato, Oluf Pedersen12, Andrew D. Paterson7, Robert Kraaij2, Jeroen Raes3, Alexandra Zhernakova1 
16 Dec 2020-bioRxiv
TL;DR: A phenome-wide association study and Mendelian randomization identified enrichment of microbiome trait loci in the metabolic, nutrition and environment domains and suggested the microbiome has causal effects in ulcerative colitis and rheumatoid arthritis.
Abstract: To study the effect of host genetics on gut microbiome composition, the MiBioGen consortium curated and analyzed genome-wide genotypes and 16S fecal microbiome data from 18,340 individuals (24 cohorts). Microbial composition showed high variability across cohorts: only 9 out of 410 genera were detected in more than 95% samples. A genome-wide association study (GWAS) of host genetic variation in relation to microbial taxa identified 31 loci affecting microbiome at a genome-wide significant (P

210 citations

Journal ArticleDOI
TL;DR: Women with diabetes appeared to have worseQoL and mental well-being compared with men with diabetes, and identifying strategies to improve SRH and QoL among diabetic patients, especially among women, is of great importance.

156 citations

Journal ArticleDOI
01 Dec 2011-Gut
TL;DR: The results support a role of immune activation in IBS and IBS constipation as TL1A, the protein encoded by TNFSF15, contributes to the modulation of inflammatory responses.
Abstract: Background: Irritable bowel syndrome (IBS) is the most common gastrointestinal disorder, affecting more than 10% of the general population worldwide. Although a genetic component is suspected, unam ...

128 citations


Cited by
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01 Jun 2012
TL;DR: SPAdes as mentioned in this paper is a new assembler for both single-cell and standard (multicell) assembly, and demonstrate that it improves on the recently released E+V-SC assembler and on popular assemblers Velvet and SoapDeNovo (for multicell data).
Abstract: The lion's share of bacteria in various environments cannot be cloned in the laboratory and thus cannot be sequenced using existing technologies. A major goal of single-cell genomics is to complement gene-centric metagenomic data with whole-genome assemblies of uncultivated organisms. Assembly of single-cell data is challenging because of highly non-uniform read coverage as well as elevated levels of sequencing errors and chimeric reads. We describe SPAdes, a new assembler for both single-cell and standard (multicell) assembly, and demonstrate that it improves on the recently released E+V-SC assembler (specialized for single-cell data) and on popular assemblers Velvet and SoapDeNovo (for multicell data). SPAdes generates single-cell assemblies, providing information about genomes of uncultivatable bacteria that vastly exceeds what may be obtained via traditional metagenomics studies. SPAdes is available online ( http://bioinf.spbau.ru/spades ). It is distributed as open source software.

10,124 citations

Journal ArticleDOI
TL;DR: Genome-wide analysis suggests that several genes that increase the risk for sporadic Alzheimer's disease encode factors that regulate glial clearance of misfolded proteins and the inflammatory reaction.
Abstract: Increasing evidence suggests that Alzheimer's disease pathogenesis is not restricted to the neuronal compartment, but includes strong interactions with immunological mechanisms in the brain. Misfolded and aggregated proteins bind to pattern recognition receptors on microglia and astroglia, and trigger an innate immune response characterised by release of inflammatory mediators, which contribute to disease progression and severity. Genome-wide analysis suggests that several genes that increase the risk for sporadic Alzheimer's disease encode factors that regulate glial clearance of misfolded proteins and the inflammatory reaction. External factors, including systemic inflammation and obesity, are likely to interfere with immunological processes of the brain and further promote disease progression. Modulation of risk factors and targeting of these immune mechanisms could lead to future therapeutic or preventive strategies for Alzheimer's disease.

3,947 citations

Journal ArticleDOI
TL;DR: The large number of patients with NAFLD with potential for progressive liver disease creates challenges for screening, as the diagnosis of NASH necessitates invasive liver biopsy.
Abstract: NAFLD is one of the most important causes of liver disease worldwide and will probably emerge as the leading cause of end-stage liver disease in the coming decades, with the disease affecting both adults and children. The epidemiology and demographic characteristics of NAFLD vary worldwide, usually parallel to the prevalence of obesity, but a substantial proportion of patients are lean. The large number of patients with NAFLD with potential for progressive liver disease creates challenges for screening, as the diagnosis of NASH necessitates invasive liver biopsy. Furthermore, individuals with NAFLD have a high frequency of metabolic comorbidities and could place a growing strain on health-care systems from their need for management. While awaiting the development effective therapies, this disease warrants the attention of primary care physicians, specialists and health policy makers.

3,076 citations

Journal Article
TL;DR: FastTree as mentioned in this paper uses sequence profiles of internal nodes in the tree to implement neighbor-joining and uses heuristics to quickly identify candidate joins, then uses nearest-neighbor interchanges to reduce the length of the tree.
Abstract: Gene families are growing rapidly, but standard methods for inferring phylogenies do not scale to alignments with over 10,000 sequences. We present FastTree, a method for constructing large phylogenies and for estimating their reliability. Instead of storing a distance matrix, FastTree stores sequence profiles of internal nodes in the tree. FastTree uses these profiles to implement neighbor-joining and uses heuristics to quickly identify candidate joins. FastTree then uses nearest-neighbor interchanges to reduce the length of the tree. For an alignment with N sequences, L sites, and a different characters, a distance matrix requires O(N^2) space and O(N^2 L) time, but FastTree requires just O( NLa + N sqrt(N) ) memory and O( N sqrt(N) log(N) L a ) time. To estimate the tree's reliability, FastTree uses local bootstrapping, which gives another 100-fold speedup over a distance matrix. For example, FastTree computed a tree and support values for 158,022 distinct 16S ribosomal RNAs in 17 hours and 2.4 gigabytes of memory. Just computing pairwise Jukes-Cantor distances and storing them, without inferring a tree or bootstrapping, would require 17 hours and 50 gigabytes of memory. In simulations, FastTree was slightly more accurate than neighbor joining, BIONJ, or FastME; on genuine alignments, FastTree's topologies had higher likelihoods. FastTree is available at http://microbesonline.org/fasttree.

2,436 citations

Journal ArticleDOI
TL;DR: A model describing the health assessment process is proposed to show how self-rated health can reflect the states of the human body and mind and the focus is on the social and biological pathways that mediate information from the human organism to individual consciousness.

1,938 citations