Transcriptomic signatures of neonatal acute respiratory distress syndrome in a prospective cohort of respiratory distress
Summary: Neonatal acute respiratory distress syndrome (NARDS) is challenging to differentiate from other respiratory conditions, and gestational age (GA) may influence gene expression. This study characterized whole blood transcriptomic profiles of NARDS in a pilot cohort of 48 neonates with respira...
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Elsevier
2025-08-01
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2589004225012684 |
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| author | Chan Liu Qing Ai Jingli Yang Ying Fan Wen Jia Leyu Si Yuting Yao Feifan Chen Shiyue Liu Yu He Yuan Shi |
| author_facet | Chan Liu Qing Ai Jingli Yang Ying Fan Wen Jia Leyu Si Yuting Yao Feifan Chen Shiyue Liu Yu He Yuan Shi |
| author_sort | Chan Liu |
| collection | DOAJ |
| description | Summary: Neonatal acute respiratory distress syndrome (NARDS) is challenging to differentiate from other respiratory conditions, and gestational age (GA) may influence gene expression. This study characterized whole blood transcriptomic profiles of NARDS in a pilot cohort of 48 neonates with respiratory distress, demonstrating a significant GA-dependent modulation of gene expression. Functional analyses revealed prominent involvement of interferon-related pathways in NARDS, with greater suppression in neonates born before 34 weeks. Immune cell infiltration was observed in term or late preterm neonates but was absent in more preterm cases. Machine learning identified three key predictive genes, among which ALOX15 and PTGDR2 were validated in an independent cohort, with area under the curve ranging from 0.68 to 0.83 across different GAs. The gene changes were also confirmed in a neonatal lipopolysaccharide-induced lung injury mouse model. These findings highlight the potential predictive and therapeutic value of ALOX15 and PTGDR2 for NARDS. |
| format | Article |
| id | doaj-art-9b125da12fb04f74b46d6d429e3ab133 |
| institution | DOAJ |
| issn | 2589-0042 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | iScience |
| spelling | doaj-art-9b125da12fb04f74b46d6d429e3ab1332025-08-20T03:13:32ZengElsevieriScience2589-00422025-08-0128811300710.1016/j.isci.2025.113007Transcriptomic signatures of neonatal acute respiratory distress syndrome in a prospective cohort of respiratory distressChan Liu0Qing Ai1Jingli Yang2Ying Fan3Wen Jia4Leyu Si5Yuting Yao6Feifan Chen7Shiyue Liu8Yu He9Yuan Shi10Department of Neonatology, Children’s Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Child Rare Diseases in Infection and Immunity, Chongqing 400014, ChinaDepartment of Neonatology, Children’s Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Child Rare Diseases in Infection and Immunity, Chongqing 400014, ChinaDepartment of Neonatology, Children’s Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Child Rare Diseases in Infection and Immunity, Chongqing 400014, ChinaDepartment of Neonatology, Children’s Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Child Rare Diseases in Infection and Immunity, Chongqing 400014, ChinaDepartment of Neonatology, Children’s Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Child Rare Diseases in Infection and Immunity, Chongqing 400014, ChinaDepartment of Neonatology, Children’s Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Child Rare Diseases in Infection and Immunity, Chongqing 400014, ChinaDepartment of Neonatology, Children’s Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Child Rare Diseases in Infection and Immunity, Chongqing 400014, ChinaDepartment of Neonatology, Children’s Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Child Rare Diseases in Infection and Immunity, Chongqing 400014, ChinaDepartment of Neonatology, Children’s Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Child Rare Diseases in Infection and Immunity, Chongqing 400014, ChinaDepartment of Neonatology, Children’s Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Child Rare Diseases in Infection and Immunity, Chongqing 400014, China; Corresponding authorDepartment of Neonatology, Children’s Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Child Rare Diseases in Infection and Immunity, Chongqing 400014, China; Corresponding authorSummary: Neonatal acute respiratory distress syndrome (NARDS) is challenging to differentiate from other respiratory conditions, and gestational age (GA) may influence gene expression. This study characterized whole blood transcriptomic profiles of NARDS in a pilot cohort of 48 neonates with respiratory distress, demonstrating a significant GA-dependent modulation of gene expression. Functional analyses revealed prominent involvement of interferon-related pathways in NARDS, with greater suppression in neonates born before 34 weeks. Immune cell infiltration was observed in term or late preterm neonates but was absent in more preterm cases. Machine learning identified three key predictive genes, among which ALOX15 and PTGDR2 were validated in an independent cohort, with area under the curve ranging from 0.68 to 0.83 across different GAs. The gene changes were also confirmed in a neonatal lipopolysaccharide-induced lung injury mouse model. These findings highlight the potential predictive and therapeutic value of ALOX15 and PTGDR2 for NARDS.http://www.sciencedirect.com/science/article/pii/S2589004225012684TranscriptomicsMachine learning |
| spellingShingle | Chan Liu Qing Ai Jingli Yang Ying Fan Wen Jia Leyu Si Yuting Yao Feifan Chen Shiyue Liu Yu He Yuan Shi Transcriptomic signatures of neonatal acute respiratory distress syndrome in a prospective cohort of respiratory distress iScience Transcriptomics Machine learning |
| title | Transcriptomic signatures of neonatal acute respiratory distress syndrome in a prospective cohort of respiratory distress |
| title_full | Transcriptomic signatures of neonatal acute respiratory distress syndrome in a prospective cohort of respiratory distress |
| title_fullStr | Transcriptomic signatures of neonatal acute respiratory distress syndrome in a prospective cohort of respiratory distress |
| title_full_unstemmed | Transcriptomic signatures of neonatal acute respiratory distress syndrome in a prospective cohort of respiratory distress |
| title_short | Transcriptomic signatures of neonatal acute respiratory distress syndrome in a prospective cohort of respiratory distress |
| title_sort | transcriptomic signatures of neonatal acute respiratory distress syndrome in a prospective cohort of respiratory distress |
| topic | Transcriptomics Machine learning |
| url | http://www.sciencedirect.com/science/article/pii/S2589004225012684 |
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