The Entero-Mammary Pathway and Perinatal Transmission of Gut Microbiota and SARS-CoV-2

被引:15
作者
Josefina Juarez-Castelan, Carmen [1 ]
Manuel Velez-Ixta, Juan [1 ]
Corona-Cervantes, Karina [1 ]
Pina-Escobedo, Alberto [1 ]
Cruz-Narvaez, Yair [2 ]
Hinojosa-Velasco, Alejandro [3 ]
Esther Landero-Montes-de-Oca, Maria [4 ]
Davila-Gonzalez, Eduardo [5 ]
Gonzalez-del-Olmo, Eduardo [6 ]
Bastida-Gonzalez, Fernando [5 ]
Berenice Zarate-Segura, Paola [6 ]
Garcia-Mena, Jaime [1 ]
机构
[1] CINVESTAV, Dept Genet & Biol Mol, Av Inst Politecn Nacl 2508, Ciudad De Mexico 07360, Mexico
[2] Inst Politecn Nacl, Lab Posgrad Operac Unitarias, Escuela Super Ingn Quim & Industrias Extract, Ciudad De Mexico 07738, Mexico
[3] Hosp Ginecol & Obstetricia, Inst Materno Infantil Estado Mexico, Div Neonatol, Toluca De Lerdo 50170, Mexico
[4] Hosp Gustavo Baz Prada, Dept Ginecol & Obstetricia, ISEM, Nezahualcoyotl 57300, Mexico
[5] ISEM, Lab Estatal Salud Publ Estado Mexico, Toluca De Lerdo 50180, Mexico
[6] Inst Politecn Nacl, Lab Med Traslac, Escuela Super Med, Ciudad De Mexico 11340, Mexico
关键词
SARS-CoV-2; mother rectal swab; neonate rectal swab; human colostrum; high-throughput DNA sequencing; fecal microbiota; RT-ddPCR; RT-qPCR; gut microbiota; HUMAN-MILK MICROBIOTA; BREAST-MILK; SP NOV; PREGNANCY; COMMUNITY; COVID-19; ORIGIN; WOMEN;
D O I
10.3390/ijms231810306
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
COVID-19 is a severe respiratory disease threatening pregnant women, which increases the possibility of adverse pregnancy outcomes. Several recent studies have demonstrated the ability of SARS-CoV-2 to infect the mother enterocytes, disturbing the gut microbiota diversity. The aim of this study was to characterize the entero-mammary microbiota of women in the presence of the virus during delivery. Fifty mother-neonate pairs were included in a transversal descriptive work. The presence of SARS-CoV-2 RNA was detected in nasopharyngeal, mother rectal swabs (MRS) and neonate rectal swabs (NRS) collected from the pairs, and human colostrum (HC) samples collected from mothers. The microbiota diversity was characterized by high-throughput DNA sequencing of V3-16S rRNA gene libraries prepared from HC, MRS, and NRS. Data were analyzed with QIIME2 and R. Our results indicate that several bacterial taxa are highly abundant in MRS positive for SARS-CoV-2 RNA. These bacteria mostly belong to the Firmicutes phylum; for instance, the families Bifidobacteriaceae, Oscillospiraceae, and Microbacteriaceae have been previously associated with anti-inflammatory effects, which could explain the capability of women to overcome the infection. All samples, both positive and negative for SARS-CoV-2, featured a high abundance of the Firmicutes phylum. Further data analysis showed that nearly 20% of the bacterial diversity found in HC was also identified in MRS. Spearman correlation analysis highlighted that some genera of the Proteobacteria and Actinobacteria phyla were negatively correlated with MRS and NRS (p < 0.005). This study provides new insights into the gut microbiota of pregnant women and their potential association with a better outcome during SARS-CoV-2 infection.
引用
收藏
页数:21
相关论文
共 79 条
[1]  
Arts I.C.W., 2021, J OPEN SOURCE SOFTW, V6, P3201, DOI DOI 10.21105/JOSS.03201
[2]  
Auguie B, 2017, gridExtra: Miscellaneous Functions for "Grid" Graphics
[3]   Breast Milk and COVID-19: From Conventional Data to "Omics" Technologies to Investigate Changes Occurring in SARS-CoV-2 Positive Mothers [J].
Bardanzellu, Flaminia ;
Puddu, Melania ;
Fanos, Vassilios .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2021, 18 (11)
[4]  
Bisanz J.E., 2018, TUTORIAL INTEGRATING
[5]   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
[6]   The MIQE Guidelines: Minimum Information for Publication of Quantitative Real-Time PCR Experiments [J].
Bustin, Stephen A. ;
Benes, Vladimir ;
Garson, Jeremy A. ;
Hellemans, Jan ;
Huggett, Jim ;
Kubista, Mikael ;
Mueller, Reinhold ;
Nolan, Tania ;
Pfaffl, Michael W. ;
Shipley, Gregory L. ;
Vandesompele, Jo ;
Wittwer, Carl T. .
CLINICAL CHEMISTRY, 2009, 55 (04) :611-622
[7]   Detection profile of SARS-CoV-2 using RT-PCR in different types of clinical specimens: A systematic review and meta-analysis [J].
Bwire, George M. ;
Majigo, Mtebe, V ;
Njiro, Belinda J. ;
Mawazo, Akili .
JOURNAL OF MEDICAL VIROLOGY, 2021, 93 (02) :719-725
[8]   Prevalence of SARS-CoV-2 Among Patients Admitted for Childbirth in Southern Connecticut [J].
Campbell, Katherine H. ;
Tornatore, Jean M. ;
Lawrence, Kirsten E. ;
Illuzzi, Jessica L. ;
Sussman, L. Scott ;
Lipkind, Heather S. ;
Pettker, Christian M. .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2020, 323 (24) :2520-2522
[9]   Sex-Based Differences in Susceptibility to Severe Acute Respiratory Syndrome Coronavirus Infection [J].
Channappanavar, Rudragouda ;
Fett, Craig ;
Mack, Matthias ;
Ten Eyck, Patrick P. ;
Meyerholz, David K. ;
Perlman, Stanley .
JOURNAL OF IMMUNOLOGY, 2017, 198 (10) :4046-4053
[10]   Association of Insulin Resistance and Type 2 Diabetes With Gut Microbial Diversity A Microbiome-Wide Analysis From Population Studies [J].
Chen, Zhangling ;
Radjabzadeh, Djawad ;
Chen, Lianmin ;
Kurilshikov, Alexander ;
Kavousi, Maryam ;
Ahmadizar, Fariba ;
Ikram, M. Arfan ;
Uitterlinden, Andre G. ;
Zhernakova, Alexandra ;
Fu, Jingyuan ;
Kraaij, Robert ;
Voortman, Trudy .
JAMA NETWORK OPEN, 2021, 4 (07)