Investigating the gut microbial community and genes in children with differing levels of change in serum asparaginase activity during pegaspargase treatment for acute lymphoblastic leukemia

被引:6
作者
Dunn, Katherine A. [1 ,2 ]
Connors, Jessica [3 ]
Bielawski, Joseph P. [1 ,4 ]
Nearing, Jacob T. [5 ]
Langille, Morgan G. I. [5 ,6 ]
Van Limbergen, Johan [7 ]
Fernandez, Conrad V. [2 ]
MacDonald, Tamara [8 ]
Kulkarni, Ketan [2 ]
机构
[1] Dalhousie Univ, Dept Biol, Halifax, NS, Canada
[2] IWK Hlth Ctr, Div Hematol Oncol, Dept Pediat, Halifax, NS, Canada
[3] Dalhousie Univ, Fac Med, Halifax, NS, Canada
[4] Dalhousie Univ, Dept Math & Stat, Halifax, NS, Canada
[5] Dalhousie Univ, Dept Microbiol & Immunol, Halifax, NS, Canada
[6] Dalhousie Univ, Dept Pharmacol, Halifax, NS, Canada
[7] Univ Amsterdam, Med Ctr, Emma Childrens Hosp, Pediat Gastroenterol & Nutr, Amsterdam, Netherlands
[8] Dalhousie Univ, IWK Hlth Ctr, Dept Pharm, Fac Hlth Profess, Halifax, NS, Canada
关键词
Acute lymphoblastic leukemia; asparaginase treatment; microbiome; Bayesian model; pediatric; ESCHERICHIA-COLI ASPARAGINASE; CLINICAL UTILITY; BILE-ACIDS; ANTIBODIES; SYNTHETASE; RISK; PHARMACOKINETICS; DEXAMETHASONE; THERAPY; CELLS;
D O I
10.1080/10428194.2020.1850718
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Asparaginase (ASNase) is an effective treatment of pediatric acute lymphoblastic leukemia (ALL). Changes in ASNase activity may lead to suboptimal treatment and poorer outcomes. The gut microbiome produces metabolites that could impact ASNase therapy, however, remains uninvestigated. We examined gut-microbial community and microbial-ASNase and asparagine synthetase (ASNS) genes using 16SrRNA and metagenomic sequence data from stool samples of pediatric ALL patients. Comparing ASNase activity between consecutive ASNase-doses, we found microbial communities differed between decreased- and increased-activity samples. Escherichia predominated in the decreased-activity community while Bacteroides and Streptococcus predominated in the increased-activity community. In addition microbial ASNS was significantly (p=.004) negatively correlated with change in serum ASNase activity. These preliminary findings suggest microbial communities prior to treatment could affect serum ASNase levels, although the mechanism is unknown. Replication in an independent cohort is needed, and future research on manipulation of these communities and genes could prove useful in optimizing ASNase therapy.
引用
收藏
页码:927 / 936
页数:10
相关论文
共 57 条
[1]   Pharmacogenetics of asparaginase in acute lymphoblastic leukemia [J].
Abaji, Rachid ;
Krajinovic, Maja .
CANCER DRUG RESISTANCE, 2019, 2 (02) :242-255
[2]   Methylation analysis of asparagine synthetase gene in acute lymphoblastic leukemia cells [J].
Akagi, T. ;
Yin, D. ;
Kawamata, N. ;
Bartram, C. R. ;
Hofmann, W-K ;
Wolf, I. ;
Miller, C. W. ;
Koeffler, H. P. .
LEUKEMIA, 2006, 20 (07) :1303-1306
[3]  
AMIR A, 2017, MSYSTEMS, V2, DOI DOI 10.1128/MSYSTEMS.00191-16
[4]   Asparaginase pharmacokinetics and implications of therapeutic drug monitoring [J].
Asselin, Barbara ;
Rizzari, Carmelo .
LEUKEMIA & LYMPHOMA, 2015, 56 (08) :2273-2280
[5]   A randomized comparison of native Escherichia coli asparaginase and polyethylene glycol conjugated asparaginase for treatment of children with newly diagnosed standard-risk acute lymphoblastic leukemia:: a Children's Cancer Group study [J].
Avramis, VI ;
Sencer, S ;
Periclou, AP ;
Sather, H ;
Bostrom, BC ;
Cohen, LJ ;
Ettinger, AG ;
Ettinger, LJ ;
Franklin, J ;
Gaynon, PS ;
Hilden, JM ;
Lange, B ;
Majlessipour, F ;
Mathew, P ;
Needle, M ;
Neglia, J ;
Reaman, G ;
Holcenberg, JS .
BLOOD, 2002, 99 (06) :1986-1994
[6]   Host-bacterial mutualism in the human intestine [J].
Bäckhed, F ;
Ley, RE ;
Sonnenburg, JL ;
Peterson, DA ;
Gordon, JI .
SCIENCE, 2005, 307 (5717) :1915-1920
[7]   Mucosal Interactions between Genetics, Diet, and Microbiome in Inflammatory Bowel Disease [J].
Basson, Abigail ;
Trotter, Ashley ;
Rodriguez-Palacios, Alex ;
Cominelli, Fabio .
FRONTIERS IN IMMUNOLOGY, 2016, 7
[8]   Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2 [J].
Bolyen, Evan ;
Rideout, Jai Ram ;
Dillon, Matthew R. ;
Bokulich, NicholasA. ;
Abnet, Christian C. ;
Al-Ghalith, Gabriel A. ;
Alexander, Harriet ;
Alm, Eric J. ;
Arumugam, Manimozhiyan ;
Asnicar, Francesco ;
Bai, Yang ;
Bisanz, Jordan E. ;
Bittinger, Kyle ;
Brejnrod, Asker ;
Brislawn, Colin J. ;
Brown, C. Titus ;
Callahan, Benjamin J. ;
Caraballo-Rodriguez, Andres Mauricio ;
Chase, John ;
Cope, Emily K. ;
Da Silva, Ricardo ;
Diener, Christian ;
Dorrestein, Pieter C. ;
Douglas, Gavin M. ;
Durall, Daniel M. ;
Duvallet, Claire ;
Edwardson, Christian F. ;
Ernst, Madeleine ;
Estaki, Mehrbod ;
Fouquier, Jennifer ;
Gauglitz, Julia M. ;
Gibbons, Sean M. ;
Gibson, Deanna L. ;
Gonzalez, Antonio ;
Gorlick, Kestrel ;
Guo, Jiarong ;
Hillmann, Benjamin ;
Holmes, Susan ;
Holste, Hannes ;
Huttenhower, Curtis ;
Huttley, Gavin A. ;
Janssen, Stefan ;
Jarmusch, Alan K. ;
Jiang, Lingjing ;
Kaehler, Benjamin D. ;
Bin Kang, Kyo ;
Keefe, Christopher R. ;
Keim, Paul ;
Kelley, Scott T. ;
Knights, Dan .
NATURE BIOTECHNOLOGY, 2019, 37 (08) :852-857
[9]   Moving pictures of the human microbiome [J].
Caporaso, J. Gregory ;
Lauber, Christian L. ;
Costello, Elizabeth K. ;
Berg-Lyons, Donna ;
Gonzalez, Antonio ;
Stombaugh, Jesse ;
Knights, Dan ;
Gajer, Pawel ;
Ravel, Jacques ;
Fierer, Noah ;
Gordon, Jeffrey I. ;
Knight, Rob .
GENOME BIOLOGY, 2011, 12 (05)
[10]  
CHEUNG NKV, 1986, AM J PEDIAT HEMATOL, V8, P99