Seung Hyun Kim , Min‑Jin Kwak , Jae Kyoon Hwang , Jihyun Keum , Hee Yeon Jin , Chan-Yeong Lee , Rahul Sadashiv Tanpure , Yong Joo Kim , Jeong-Kyu Hoh , Jae Yong Park , Woojin Chung , Byong-Hun Jeon , Hyun-Kyung Park
{"title":"经验性抗生素引起的早产儿肠道生态失调导致血红素代谢和血红蛋白浓度的改变","authors":"Seung Hyun Kim , Min‑Jin Kwak , Jae Kyoon Hwang , Jihyun Keum , Hee Yeon Jin , Chan-Yeong Lee , Rahul Sadashiv Tanpure , Yong Joo Kim , Jeong-Kyu Hoh , Jae Yong Park , Woojin Chung , Byong-Hun Jeon , Hyun-Kyung Park","doi":"10.1016/j.csbj.2025.03.009","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>High-risk infants are usually treated with empirical antibiotics after birth, regardless of the evidence of infection; however, their gut microbiome and metabolome have seldom been studied. This study investigated the influence of antibiotic exposure on the gut microbiome and associated metabolic pathways in term and preterm infants.</div></div><div><h3>Methods</h3><div>Thirty-six infants within 10 days of birth who were admitted to a neonatal intensive care unit/newborn nursery unit were divided into four groups based on maturity (gestational age) and use of empirical antibiotics. Genomic DNA was extracted from the fecal samples and underwent high-throughput 16S rRNA amplicon sequencing using the Illumina platforms. Taxonomic classification, diversity analysis, and metagenomic function prediction were performed.</div></div><div><h3>Results</h3><div>Preterm infants with empirical antibiotics showed a significantly decreased population of <em>Firmicutes</em> (p = 0.003) and an increased population of <em>Proteobacteria</em> (p < 0.001) compared to other groups. At the genus level, the populations of <em>Raoultella</em> (<em>p</em> = 0.065) and <em>Escherichia</em> (<em>p</em> = 0.052) showed an increased trend. The change in microbial composition was correlated with increased heme biosynthesis and decreased hemoglobin levels.</div></div><div><h3>Conclusion</h3><div>Collectively, our finding suggested that empirical antibiotic exposure in preterm infants alters the gut microbiome, potentially leading to adverse health outcomes. This dysbiosis may affect heme metabolism, increasing the risk of anemia in these vulnerable infants. Therefore, antibiotic use should be carefully tailored to minimize potential harm.</div></div>","PeriodicalId":10715,"journal":{"name":"Computational and structural biotechnology journal","volume":"27 ","pages":"Pages 937-945"},"PeriodicalIF":4.8000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Altered heme metabolism and hemoglobin concentration due to empirical antibiotics-induced gut dysbiosis in preterm infants\",\"authors\":\"Seung Hyun Kim , Min‑Jin Kwak , Jae Kyoon Hwang , Jihyun Keum , Hee Yeon Jin , Chan-Yeong Lee , Rahul Sadashiv Tanpure , Yong Joo Kim , Jeong-Kyu Hoh , Jae Yong Park , Woojin Chung , Byong-Hun Jeon , Hyun-Kyung Park\",\"doi\":\"10.1016/j.csbj.2025.03.009\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>High-risk infants are usually treated with empirical antibiotics after birth, regardless of the evidence of infection; however, their gut microbiome and metabolome have seldom been studied. This study investigated the influence of antibiotic exposure on the gut microbiome and associated metabolic pathways in term and preterm infants.</div></div><div><h3>Methods</h3><div>Thirty-six infants within 10 days of birth who were admitted to a neonatal intensive care unit/newborn nursery unit were divided into four groups based on maturity (gestational age) and use of empirical antibiotics. Genomic DNA was extracted from the fecal samples and underwent high-throughput 16S rRNA amplicon sequencing using the Illumina platforms. Taxonomic classification, diversity analysis, and metagenomic function prediction were performed.</div></div><div><h3>Results</h3><div>Preterm infants with empirical antibiotics showed a significantly decreased population of <em>Firmicutes</em> (p = 0.003) and an increased population of <em>Proteobacteria</em> (p < 0.001) compared to other groups. At the genus level, the populations of <em>Raoultella</em> (<em>p</em> = 0.065) and <em>Escherichia</em> (<em>p</em> = 0.052) showed an increased trend. The change in microbial composition was correlated with increased heme biosynthesis and decreased hemoglobin levels.</div></div><div><h3>Conclusion</h3><div>Collectively, our finding suggested that empirical antibiotic exposure in preterm infants alters the gut microbiome, potentially leading to adverse health outcomes. This dysbiosis may affect heme metabolism, increasing the risk of anemia in these vulnerable infants. Therefore, antibiotic use should be carefully tailored to minimize potential harm.</div></div>\",\"PeriodicalId\":10715,\"journal\":{\"name\":\"Computational and structural biotechnology journal\",\"volume\":\"27 \",\"pages\":\"Pages 937-945\"},\"PeriodicalIF\":4.8000,\"publicationDate\":\"2025-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computational and structural biotechnology journal\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2001037025000765\",\"RegionNum\":2,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/3/5 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational and structural biotechnology journal","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2001037025000765","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/5 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
Altered heme metabolism and hemoglobin concentration due to empirical antibiotics-induced gut dysbiosis in preterm infants
Background
High-risk infants are usually treated with empirical antibiotics after birth, regardless of the evidence of infection; however, their gut microbiome and metabolome have seldom been studied. This study investigated the influence of antibiotic exposure on the gut microbiome and associated metabolic pathways in term and preterm infants.
Methods
Thirty-six infants within 10 days of birth who were admitted to a neonatal intensive care unit/newborn nursery unit were divided into four groups based on maturity (gestational age) and use of empirical antibiotics. Genomic DNA was extracted from the fecal samples and underwent high-throughput 16S rRNA amplicon sequencing using the Illumina platforms. Taxonomic classification, diversity analysis, and metagenomic function prediction were performed.
Results
Preterm infants with empirical antibiotics showed a significantly decreased population of Firmicutes (p = 0.003) and an increased population of Proteobacteria (p < 0.001) compared to other groups. At the genus level, the populations of Raoultella (p = 0.065) and Escherichia (p = 0.052) showed an increased trend. The change in microbial composition was correlated with increased heme biosynthesis and decreased hemoglobin levels.
Conclusion
Collectively, our finding suggested that empirical antibiotic exposure in preterm infants alters the gut microbiome, potentially leading to adverse health outcomes. This dysbiosis may affect heme metabolism, increasing the risk of anemia in these vulnerable infants. Therefore, antibiotic use should be carefully tailored to minimize potential harm.
期刊介绍:
Computational and Structural Biotechnology Journal (CSBJ) is an online gold open access journal publishing research articles and reviews after full peer review. All articles are published, without barriers to access, immediately upon acceptance. The journal places a strong emphasis on functional and mechanistic understanding of how molecular components in a biological process work together through the application of computational methods. Structural data may provide such insights, but they are not a pre-requisite for publication in the journal. Specific areas of interest include, but are not limited to:
Structure and function of proteins, nucleic acids and other macromolecules
Structure and function of multi-component complexes
Protein folding, processing and degradation
Enzymology
Computational and structural studies of plant systems
Microbial Informatics
Genomics
Proteomics
Metabolomics
Algorithms and Hypothesis in Bioinformatics
Mathematical and Theoretical Biology
Computational Chemistry and Drug Discovery
Microscopy and Molecular Imaging
Nanotechnology
Systems and Synthetic Biology