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Observational Study
Early gut microbiota in very low and extremely low birth weight preterm infants with feeding intolerance: a prospective case-control study
Ling Liu , Dang Ao , Xiangsheng Cai , Peiyi Huang , Nali Cai , Shaozhu Lin , Benqing Wu
J. Microbiol. 2022;60(10):1021-1031.   Published online August 19, 2022
DOI: https://doi.org/10.1007/s12275-022-2180-2
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  • 12 Web of Science
  • 10 Crossref
AbstractAbstract
The potential role of the gut microbiota in the pathogenesis of feeding intolerance (FI) remains unclear. Understanding the role of the gut microbiota could provide a new avenue for microbiota-targeted therapeutics. This study aimed to explore the associations between aberrant gut microbiota and FI in very low or extremely low birth weight (VLBW/ELBW) preterm infants. In this observational case-control study, VLBW/ ELBW infants were divided into two groups: FI group and feeding tolerance (FT) group. 16S rRNA gene sequencing was performed to analyze the gut microbial diversity and composition of the infants. The differences in the gut microbiota of the two groups were compared. In total, 165 stool samples were obtained from 44 infants, among which, 31 developed FI and 13 served as controls. Alpha diversity was the highest in the meconium samples of the two groups. LEfSe analysis revealed that the abundances of Peptostreptococcaceae, Clostridiales and Clostridia in the FT group were significantly higher than in the FI group. At the phylum level, the FI group was dominated by Proteobacteria, and the FT group was dominated by Firmicutes. The meconium samples of the FI group had higher proportions of γ-proteobacteria and Escherichia-Shigella and a lower proportion of Bacteroides compared with the FT group. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis demonstrated that aberrant gut bacteria in the FI group were strongly associated with dysregulation of C5-Brancheddibasic- acid-metabolism, protein kinases, and sporulation. These findings reveal candidate microbial markers to prevent FI. Increased relative abundances of γ-proteobacteria and Escherichia-Shigella and decreased abundance of Bacteroides in meconium were associated with an increased risk of FI, while Peptostreptococcaceae, Clostridiales and Clostridia reduced the risk of FI in VLBW/ELBW infants.

Citations

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  • Reduced Gut Bacterial Diversity in Early Life Predicts Feeding Intolerance in Preterm Neonates
    Maria Di Chiara, Alessandro Lazzaro, Daniela Scribano, Maria Trancassini, Valeria Pietropaolo, Michele Sonnessa, Chiara De Luca, Rita Prota, Elisa Onestà, Gianluigi Laccetta, Gianluca Terrin
    Tropical Medicine and Infectious Disease.2024; 9(8): 174.     CrossRef
  • Calorie restriction during gestation impacts maternal and offspring fecal microbiome in mice
    Stephanie P. Gilley, Meghan L. Ruebel, Sree V. Chintapalli, Clyde J. Wright, Paul J. Rozance, Kartik Shankar
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Dynamics alteration of the gut microbiota and faecal metabolomes in very low or extremely low birth weight infants: a Chinese single-center, prospective cohort study
    Ling Liu, Chaohong Chen, YeShan Li, Dang Ao, Jiayuan Wu, Nali Cai, Wen Li, Min Xiang
    Frontiers in Microbiology.2024;[Epub]     CrossRef
  • Metabolic and fecal microbial changes in adult fetal growth restricted mice
    Stephanie P. Gilley, Miguel A. Zarate, Lijun Zheng, Purevsuren Jambal, Deaunabah N. Yazza, Sree V. Chintapalli, Paul S. MacLean, Clyde J. Wright, Paul J. Rozance, Kartik Shankar
    Pediatric Research.2024; 95(3): 647.     CrossRef
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    Science Advances.2024;[Epub]     CrossRef
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    Jenni Turunen, Mysore V. Tejesvi, Niko Paalanne, Tytti Pokka, Sajeen Bahadur Amatya, Surbhi Mishra, Anna Kaisanlahti, Justus Reunanen, Terhi Tapiainen
    Pediatric Research.2024; 95(1): 135.     CrossRef
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    Brigitta I.R.V. Corebima, Rinawati Rohsiswatmo, Dewi Santosaningsih, Wisnu Barlianto, Kusworini Handono
    Archives of Medical Science.2023; 20(2): 444.     CrossRef
  • Dynamics and Crosstalk between Gut Microbiota, Metabolome, and Fecal Calprotectin in Very Preterm Infants: Insights into Feeding Intolerance
    Luyang Hong, Yihuang Huang, Junyan Han, Shujuan Li, Lan Zhang, Siyuan Jiang, Qi Zhou, Xincheng Cao, Weiyin Yu, Yi Yang, Shangyu Hong, Yufeng Zhou, Weili Yan, Yun Cao
    Nutrients.2023; 15(22): 4849.     CrossRef
  • Characteristics of Gut Microbiota in Small for Gestational Age Infants with Very Low Birth Weight
    Hung-Yang Chang, Jen-Shiu Chiang Chiau, Jui-Hsing Chang, Chyong-Hsin Hsu, Chia-Ying Lin, Mary Hsin-Ju Ko, Hung-Chang Lee
    Nutrients.2022; 14(23): 5158.     CrossRef
  • Compositional Differences of Meconium Microbiomes of Preterm and Term Infants, and Infants That Developed Necrotizing Enterocolitis or Feeding Intolerance
    Hyun Mi Kang, Sol Kim, Seok Hwang-Bo, In Hyuk Yoo, Yu-Mi Seo, Moon Yeon Oh, Soo-Ah Im, Young-Ah Youn
    Pathogens.2022; 12(1): 55.     CrossRef
Review
A comprehensive review of SARS-CoV-2 genetic mutations and lessons from animal coronavirus recombination in one health perspective
Woonsung Na , Hyoungjoon Moon , Daesub Song
J. Microbiol. 2021;59(3):332-340.   Published online February 23, 2021
DOI: https://doi.org/10.1007/s12275-021-0660-4
  • 48 View
  • 0 Download
  • 17 Web of Science
  • 18 Crossref
AbstractAbstract
SARS-CoV-2 was originated from zoonotic coronaviruses and confirmed as a novel beta-coronavirus, which causes serious respiratory illness such as pneumonia and lung failure, COVID-19. In this review, we describe the genetic characteristics of SARS-CoV-2, including types of mutation, and molecular epidemiology, highlighting its key difference from animal coronaviruses. We further summarized the current knowledge on clinical, genetic, and pathological features of several animal coronaviruses and compared them with SARSCoV- 2, as well as recent evidences of interspecies transmission and recombination of animal coronaviruses to provide a better understanding of SARS-CoV-2 infection in One Health perspectives. We also discuss the potential wildlife hosts and zoonotic origin of this emerging virus in detail, that may help mitigate the spread and damages caused by the disease.

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    Multidisciplinary Sciences Reports.2023; 3(3): 1.     CrossRef
  • A New Polymorphic Comprehensive Model for COVID-19 Transition Cycle Dynamics with Extended Feed Streams to Symptomatic and Asymptomatic Infections
    Yas Al-Hadeethi, Intesar F. El Ramley, Hiba Mohammed, Abeer Z. Barasheed
    Mathematics.2023; 11(5): 1119.     CrossRef
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    Frontiers in Immunology.2022;[Epub]     CrossRef
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    Journal of Diabetes & Metabolic Disorders.2022; 21(2): 1763.     CrossRef
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