A
Alireza Kashani
Researcher at University of Copenhagen
Publications - 32
Citations - 2148
Alireza Kashani is an academic researcher from University of Copenhagen. The author has contributed to research in topics: Gut flora & Tornado. The author has an hindex of 13, co-authored 31 publications receiving 1363 citations. Previous affiliations of Alireza Kashani include Harvard University & Oregon State University.
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Journal ArticleDOI
Meta-analysis of fecal metagenomes reveals global microbial signatures that are specific for colorectal cancer
Jakob Wirbel,Paul Theodor Pyl,Paul Theodor Pyl,Ece Kartal,Konrad Zych,Alireza Kashani,Alessio Milanese,Jonas S. Fleck,Anita Y. Voigt,Albert Pallejà,Ruby Ponnudurai,Shinichi Sunagawa,Luis Pedro Coelho,Petra Schrotz-King,Emily Vogtmann,Nina Habermann,Emma Niméus,Andrew Maltez Thomas,Andrew Maltez Thomas,Paolo Manghi,Sara Gandini,Davide Serrano,Sayaka Mizutani,Sayaka Mizutani,Hirotsugu Shiroma,Satoshi Shiba,Tatsuhiro Shibata,Shinichi Yachida,Takuji Yamada,Takuji Yamada,Levi Waldron,Alessio Naccarati,Nicola Segata,Rashmi Sinha,Cornelia M. Ulrich,Hermann Brenner,Manimozhiyan Arumugam,Manimozhiyan Arumugam,Peer Bork,Georg Zeller +39 more
TL;DR: A meta-analysis of eight geographically and technically diverse fecal shotgun metagenomic studies of colorectal cancer identified a core set of 29 species significantly enriched in CRC metagenomes, establishing globally generalizable, predictive taxonomic and functional microbiome CRC signatures as a basis for future diagnostics.
Journal ArticleDOI
Recovery of gut microbiota of healthy adults following antibiotic exposure
Albert Pallejà,Kristian Hallundbæk Mikkelsen,Sofia K. Forslund,Alireza Kashani,Kristine H. Allin,Kristine H. Allin,Trine Nielsen,Tue H. Hansen,Suisha Liang,Qiang Feng,Chenchen Zhang,Paul Theodor Pyl,Luis Pedro Coelho,Huanming Yang,Jian Wang,Athanasios Typas,Morten Frost Munk Nielsen,Henrik Nielsen,Peer Bork,Jun Wang,Tina Vilsbøll,Torben Hansen,Torben Hansen,Filip K. Knop,Manimozhiyan Arumugam,Oluf Pedersen +25 more
TL;DR: It is shown that the human gut microbiome can recover after a clinically relevant, broad-spectrum antibiotic treatment and characterization of the resistome indicates that antibiotic resistance genes can impact the recovery process.
Journal ArticleDOI
A Review of LIDAR Radiometric Processing: From Ad Hoc Intensity Correction to Rigorous Radiometric Calibration
TL;DR: An overview of basic principles of LIDAR intensity measurements and applications utilizing intensity information from terrestrial, airborne topographic, and airborne bathymetric LIDar, and effective parameters on intensity measurements, basic theory, and current intensity processing methods are provided.
Journal ArticleDOI
Roux-en-Y gastric bypass surgery of morbidly obese patients induces swift and persistent changes of the individual gut microbiota
Albert Pallejà,Alireza Kashani,Kristine H. Allin,Trine Nielsen,Chenchen Zhang,Yin Li,Thorsten Brach,Suisha Liang,Qian Feng,Nils B. Jørgensen,Kirstine N. Bojsen-Møller,Carsten Dirksen,Kristoffer Sølvsten Burgdorf,Jens J. Holst,Sten Madsbad,Juan Wang,Oluf Pedersen,Torben Hansen,Torben Hansen,Manimozhiyan Arumugam +19 more
TL;DR: Within 3 months after morbidly obese individuals had undergone RYGB, their gut microbiota featured an increased diversity, an altered composition, an increased potential for oxygen tolerance, and an increased possible for microbial utilization of macro- and micro-nutrients.
Journal ArticleDOI
NetSig: network-based discovery from cancer genomes
Heiko Horn,Michael S. Lawrence,Candace R. Chouinard,Yashaswi Shrestha,Jessica Xin Hu,Jessica Xin Hu,Elizabeth Worstell,Elizabeth Worstell,Emily Shea,Nina Ilic,Nina Ilic,Eejung Kim,Eejung Kim,Atanas Kamburov,Atanas Kamburov,Alireza Kashani,Alireza Kashani,William C. Hahn,William C. Hahn,Joshua D. Campbell,Joshua D. Campbell,Jesse S. Boehm,Gad Getz,Gad Getz,Kasper Lage,Kasper Lage,Kasper Lage +26 more
TL;DR: This study developed a robust statistic (NetSig) that integrates protein interaction networks with data from 4,742 tumor exomes and found that NetSig candidates induce tumors at rates that are comparable to those of known oncogenes and are ten-fold higher than those of random genes.