{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,2]],"date-time":"2026-11-02T23:08:30Z","timestamp":1793660910051,"version":"4.5.1"},"reference-count":51,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T00:00:00Z","timestamp":1742947200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T00:00:00Z","timestamp":1742947200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["8237141538"],"award-info":[{"award-number":["8237141538"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Sci Rep"],"DOI":"10.1038\/s41598-025-95028-4","type":"journal-article","created":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T18:42:37Z","timestamp":1743014557000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Integrating bioinformatics and machine learning for comprehensive analysis and validation of diagnostic biomarkers and immune cell infiltration characteristics in pediatric septic shock"],"prefix":"10.1038","volume":"15","author":[{"given":"Peng","family":"Lyu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Na","family":"Xie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xu-peng","family":"Shao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuai","family":"Xing","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiao-yue","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li-yun","family":"Duan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xue","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jia-min","family":"Lu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rong-fei","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Duo","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Lu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kai-liang","family":"Fan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,3,26]]},"reference":[{"key":"95028_CR1","doi-asserted-by":"publisher","unstructured":"Schlapbach, L. J. et al. International consensus criteria for pediatric sepsis and septic shock. Jama. 331 https:\/\/doi.org\/10.1001\/jama.2024.0179 (2024).","DOI":"10.1001\/jama.2024.0179"},{"key":"95028_CR2","doi-asserted-by":"publisher","first-page":"478","DOI":"10.1186\/s13054-023-04762-6","volume":"27","author":"C Bode","year":"2023","unstructured":"Bode, C., Weis, S., Sauer, A., Wendel-Garcia, P. & David, S. Targeting the host response in sepsis: Current approaches and future evidence. Crit. Care 27, 478. https:\/\/doi.org\/10.1186\/s13054-023-04762-6 (2023).","journal-title":"Crit. Care"},{"key":"95028_CR3","doi-asserted-by":"publisher","first-page":"465","DOI":"10.1038\/s41420-023-01766-7","volume":"9","author":"M Cao","year":"2023","unstructured":"Cao, M., Wang, G. & Xie, J. Immune dysregulation in sepsis: Experiences, lessons and perspectives. Cell. Death Discov. 9, 465. https:\/\/doi.org\/10.1038\/s41420-023-01766-7 (2023).","journal-title":"Cell. Death Discov"},{"key":"95028_CR4","doi-asserted-by":"publisher","first-page":"840","DOI":"10.1056\/NEJMra1208623","volume":"369","author":"DC Angus","year":"2013","unstructured":"Angus, D. C. & van der Poll, T. Severe sepsis and septic shock. N. Engl. J. Med. 369, 840\u2013851. https:\/\/doi.org\/10.1056\/NEJMra1208623 (2013).","journal-title":"N. Engl. J. Med."},{"key":"95028_CR5","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1016\/s0140-6736(04)17667-8","volume":"365","author":"D Annane","year":"2005","unstructured":"Annane, D., Bellissant, E. & Cavaillon, J. M. Septic shock. Lancet 365, 63\u201378. https:\/\/doi.org\/10.1016\/s0140-6736(04)17667-8 (2005).","journal-title":"Lancet"},{"key":"95028_CR6","doi-asserted-by":"publisher","first-page":"361","DOI":"10.1164\/rccm.201710-2006OC","volume":"198","author":"JA Muszynski","year":"2018","unstructured":"Muszynski, J. A. et al. Early immune function and duration of organ dysfunction in critically III children with sepsis. Am. J. Respir Crit. Care Med. 198, 361\u2013369. https:\/\/doi.org\/10.1164\/rccm.201710-2006OC (2018).","journal-title":"Am. J. Respir Crit. Care Med."},{"key":"95028_CR7","doi-asserted-by":"publisher","unstructured":"Moins-Teisserenc, H. et al. Severe altered immune status after burn injury is associated with bacterial infection and septic shock. Front. Immunol. 12 https:\/\/doi.org\/10.3389\/fimmu.2021.586195 (2021).","DOI":"10.3389\/fimmu.2021.586195"},{"key":"95028_CR8","doi-asserted-by":"publisher","first-page":"268","DOI":"10.1097\/ccm.0000000000006135","volume":"52","author":"D De Backer","year":"2024","unstructured":"De Backer, D. et al. Surviving sepsis campaign research priorities 2023. Crit. Care Med. 52, 268\u2013296. https:\/\/doi.org\/10.1097\/ccm.0000000000006135 (2024).","journal-title":"Crit. Care Med."},{"key":"95028_CR9","doi-asserted-by":"publisher","unstructured":"Soon, W. W., Hariharan, M. & Snyder, M. P. High-throughput sequencing for biology and medicine. Mol. Syst. Biol. 9 https:\/\/doi.org\/10.1038\/msb.2012.61 (2013).","DOI":"10.1038\/msb.2012.61"},{"key":"95028_CR10","doi-asserted-by":"publisher","first-page":"D138","DOI":"10.1093\/nar\/gkad965","volume":"52","author":"E Clough","year":"2024","unstructured":"Clough, E. et al. NCBI GEO: archive for gene expression and epigenomics data sets: 23-year update. Nucleic Acids Res. 52, D138\u2013d144. https:\/\/doi.org\/10.1093\/nar\/gkad965 (2024).","journal-title":"Nucleic Acids Res."},{"key":"95028_CR11","doi-asserted-by":"publisher","first-page":"2396","DOI":"10.1111\/j.1600-6143.2007.01918.x","volume":"7","author":"M Ray","year":"2007","unstructured":"Ray, M., Dharmarajan, S., Freudenberg, J., Zhang, W. & Patterson, G. A. Expression profiling of human donor lungs to understand primary graft dysfunction after lung transplantation. Am. J. Transpl. 7, 2396\u20132405. https:\/\/doi.org\/10.1111\/j.1600-6143.2007.01918.x (2007).","journal-title":"Am. J. Transpl."},{"key":"95028_CR12","doi-asserted-by":"publisher","first-page":"1558","DOI":"10.1097\/CCM.0b013e31819fcc08","volume":"37","author":"HR Wong","year":"2009","unstructured":"Wong, H. R. et al. Genomic expression profiling across the pediatric systemic inflammatory response syndrome, sepsis, and septic shock spectrum. Crit. Care Med. 37, 1558\u20131566. https:\/\/doi.org\/10.1097\/CCM.0b013e31819fcc08 (2009).","journal-title":"Crit. Care Med."},{"key":"95028_CR13","doi-asserted-by":"publisher","first-page":"1146","DOI":"10.2119\/molmed.2011.00169","volume":"17","author":"JL Wynn","year":"2011","unstructured":"Wynn, J. L. et al. The influence of developmental age on the early transcriptomic response of children with septic shock. Mol. Med. 17, 1146\u20131156. https:\/\/doi.org\/10.2119\/molmed.2011.00169 (2011).","journal-title":"Mol. Med."},{"key":"95028_CR14","doi-asserted-by":"publisher","first-page":"327","DOI":"10.1186\/s13054-015-1052-0","volume":"19","author":"JR Grunwell","year":"2015","unstructured":"Grunwell, J. R. et al. Differential expression of the Nrf2-linked genes in pediatric septic shock. Crit. Care. 19, 327. https:\/\/doi.org\/10.1186\/s13054-015-1052-0 (2015).","journal-title":"Crit. Care"},{"key":"95028_CR15","doi-asserted-by":"publisher","first-page":"940","DOI":"10.1164\/rccm.201401-0171OC","volume":"189","author":"HR Wong","year":"2014","unstructured":"Wong, H. R. et al. Corticosteroids are associated with repression of adaptive immunity gene programs in pediatric septic shock. Am. J. Respir Crit. Care Med. 189, 940\u2013946. https:\/\/doi.org\/10.1164\/rccm.201401-0171OC (2014).","journal-title":"Am. J. Respir Crit. Care Med."},{"key":"95028_CR16","doi-asserted-by":"publisher","first-page":"882","DOI":"10.1093\/bioinformatics\/bts034","volume":"28","author":"JT Leek","year":"2012","unstructured":"Leek, J. T., Johnson, W. E., Parker, H. S., Jaffe, A. E. & Storey, J. D. The Sva package for removing batch effects and other unwanted variation in high-throughput experiments. Bioinformatics 28, 882\u2013883. https:\/\/doi.org\/10.1093\/bioinformatics\/bts034 (2012).","journal-title":"Bioinformatics"},{"key":"95028_CR17","doi-asserted-by":"publisher","first-page":"e47","DOI":"10.1093\/nar\/gkv007","volume":"43","author":"ME Ritchie","year":"2015","unstructured":"Ritchie, M. E. et al. Limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res. 43, e47. https:\/\/doi.org\/10.1093\/nar\/gkv007 (2015).","journal-title":"Nucleic Acids Res."},{"key":"95028_CR18","doi-asserted-by":"publisher","first-page":"e17","DOI":"10.1093\/nar\/gkad1187","volume":"52","author":"LY Chang","year":"2024","unstructured":"Chang, L. Y. et al. Gene set correlation enrichment analysis for interpreting and annotating gene expression profiles. Nucleic Acids Res. 52, e17. https:\/\/doi.org\/10.1093\/nar\/gkad1187 (2024).","journal-title":"Nucleic Acids Res."},{"key":"95028_CR19","doi-asserted-by":"publisher","first-page":"D331","DOI":"10.1093\/nar\/gkw1108","volume":"45","author":"Expansion of the Gene","year":"2017","unstructured":"Expansion of the Gene. Ontology knowledgebase and resources. Nucleic Acids Res. 45, D331\u2013d338. https:\/\/doi.org\/10.1093\/nar\/gkw1108 (2017).","journal-title":"Nucleic Acids Res."},{"key":"95028_CR20","doi-asserted-by":"publisher","first-page":"D353","DOI":"10.1093\/nar\/gkw1092","volume":"45","author":"M Kanehisa","year":"2017","unstructured":"Kanehisa, M., Furumichi, M., Tanabe, M., Sato, Y. & Morishima, K. KEGG: New perspectives on genomes, pathways, diseases and drugs. Nucleic Acids Res. 45, D353\u2013d361. https:\/\/doi.org\/10.1093\/nar\/gkw1092 (2017).","journal-title":"Nucleic Acids Res."},{"key":"95028_CR21","doi-asserted-by":"publisher","first-page":"2912","DOI":"10.1093\/bioinformatics\/btv300","volume":"31","author":"W Walter","year":"2015","unstructured":"Walter, W., S\u00e1nchez-Cabo, F. & Ricote, M. GOplot: an R package for visually combining expression data with functional analysis. Bioinformatics 31, 2912\u20132914. https:\/\/doi.org\/10.1093\/bioinformatics\/btv300 (2015).","journal-title":"Bioinformatics"},{"key":"95028_CR22","doi-asserted-by":"publisher","first-page":"1371","DOI":"10.1007\/s10295-019-02197-z","volume":"46","author":"WL Cheung-Lee","year":"2019","unstructured":"Cheung-Lee, W. L. & Link, A. J. Genome mining for Lasso peptides: Past, present, and future. J. Ind. Microbiol. Biotechnol. 46, 1371\u20131379. https:\/\/doi.org\/10.1007\/s10295-019-02197-z (2019).","journal-title":"J. Ind. Microbiol. Biotechnol."},{"key":"95028_CR23","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.neunet.2018.12.010","volume":"111","author":"M Fern\u00e1ndez-Delgado","year":"2019","unstructured":"Fern\u00e1ndez-Delgado, M. et al. An extensive experimental survey of regression methods. Neural Netw. 111, 11\u201334. https:\/\/doi.org\/10.1016\/j.neunet.2018.12.010 (2019).","journal-title":"Neural Netw."},{"key":"95028_CR24","doi-asserted-by":"publisher","first-page":"41","DOI":"10.21873\/cgp.20063","volume":"15","author":"S Huang","year":"2018","unstructured":"Huang, S. et al. Applications of support vector machine (SVM) learning in cancer genomics. Cancer Genom. Proteom. 15, 41\u201351. https:\/\/doi.org\/10.21873\/cgp.20063 (2018).","journal-title":"Cancer Genomics Proteom."},{"key":"95028_CR25","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1186\/s13148-019-0730-1","volume":"11","author":"S Engebretsen","year":"2019","unstructured":"Engebretsen, S. & Bohlin, J. Statistical predictions with Glmnet. Clin. Epigenet. 11, 123. https:\/\/doi.org\/10.1186\/s13148-019-0730-1 (2019).","journal-title":"Clin. Epigenetics"},{"key":"95028_CR26","doi-asserted-by":"publisher","unstructured":"Le, T., Aronow, R. A., Kirshtein, A. & Shahriyari, L. A review of digital cytometry methods: Estimating the relative abundance of cell types in a bulk of cells. Brief. Bioinform. 22 https:\/\/doi.org\/10.1093\/bib\/bbaa219 (2021).","DOI":"10.1093\/bib\/bbaa219"},{"key":"95028_CR27","doi-asserted-by":"publisher","unstructured":"Sanchez-Pinto, L. N. et al. Development and validation of the Phoenix criteria for pediatric sepsis and septic shock. Jama 331 https:\/\/doi.org\/10.1001\/jama.2024.0196 (2024).","DOI":"10.1001\/jama.2024.0196"},{"key":"95028_CR28","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1097\/pec.0000000000002043","volume":"36","author":"KWE Hilarius","year":"2020","unstructured":"Hilarius, K. W. E., Skippen, P. W. & Kissoon, N. Early recognition and emergency treatment of sepsis and septic shock in children. Pediatr. Emerg. Care 36, 101\u2013106. https:\/\/doi.org\/10.1097\/pec.0000000000002043 (2020).","journal-title":"Pediatr. Emerg. Care"},{"key":"95028_CR29","doi-asserted-by":"publisher","first-page":"495","DOI":"10.2119\/2007-00065.Shanley","volume":"13","author":"TP Shanley","year":"2007","unstructured":"Shanley, T. P. et al. Genome-level longitudinal expression of signaling pathways and gene networks in pediatric septic shock. Mol. Med. 13, 495\u2013508. https:\/\/doi.org\/10.2119\/2007-00065.Shanley (2007).","journal-title":"Mol. Med."},{"key":"95028_CR30","doi-asserted-by":"publisher","unstructured":"Wong, H. R. et al. Genomic expression profiling across the pediatric systemic inflammatory response syndrome, sepsis, and septic shock spectrum. Crit Care Med 37, 1558\u20131566. https:\/\/doi.org\/10.1097\/CCM.0b013e31819fcc08 (2009).","DOI":"10.1097\/CCM.0b013e31819fcc08"},{"key":"95028_CR31","doi-asserted-by":"publisher","first-page":"105948","DOI":"10.1016\/j.ijsu.2021.105948","volume":"89","author":"G Tang","year":"2021","unstructured":"Tang, G. et al. Evaluation and analysis of incidence and risk factors of lower extremity venous thrombosis after urologic surgeries: A prospective two-center cohort study using LASSO-logistic regression. Int. J. Surg. 89, 105948. https:\/\/doi.org\/10.1016\/j.ijsu.2021.105948 (2021).","journal-title":"Int. J. Surg."},{"key":"95028_CR32","doi-asserted-by":"publisher","first-page":"894","DOI":"10.1016\/j.ajodo.2023.09.011","volume":"164","author":"T Becker","year":"2023","unstructured":"Becker, T., Rousseau, A. J., Geubbelmans, M., Burzykowski, T. & Valkenborg, D. Decision trees and random forests. Am. J. Orthod. Dentofac. Orthop. 164, 894\u2013897. https:\/\/doi.org\/10.1016\/j.ajodo.2023.09.011 (2023).","journal-title":"Am. J. Orthod. Dentofac. Orthop."},{"key":"95028_CR33","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1016\/j.imlet.2016.08.011","volume":"178","author":"J Demaret","year":"2016","unstructured":"Demaret, J. et al. Identification of CD177 as the most dysregulated parameter in a microarray study of purified neutrophils from septic shock patients. Immunol. Lett. 178, 122\u2013130. https:\/\/doi.org\/10.1016\/j.imlet.2016.08.011 (2016).","journal-title":"Immunol. Lett."},{"key":"95028_CR34","doi-asserted-by":"publisher","first-page":"e0200444","DOI":"10.1371\/journal.pone.0200444","volume":"13","author":"HM Miettinen","year":"2018","unstructured":"Miettinen, H. M., Gripentrog, J. M., Lord, C. I. & Nagy, J. O. CD177-mediated nanoparticle targeting of human and mouse neutrophils. PLoS One 13, e0200444. https:\/\/doi.org\/10.1371\/journal.pone.0200444 (2018).","journal-title":"PLoS One"},{"key":"95028_CR35","doi-asserted-by":"publisher","first-page":"374","DOI":"10.1111\/imm.13676","volume":"170","author":"M Mulet","year":"2023","unstructured":"Mulet, M. et al. Dysregulated neutrophil extracellular traps formation in sepsis. Immunology 170, 374\u2013387. https:\/\/doi.org\/10.1111\/imm.13676 (2023).","journal-title":"Immunology"},{"key":"95028_CR36","doi-asserted-by":"publisher","first-page":"1308530","DOI":"10.3389\/fimmu.2023.1308530","volume":"14","author":"T Szakmany","year":"2023","unstructured":"Szakmany, T. et al. The \u2018analysis of gene expression and biomarkers for point-of-care decision support in sepsis\u2019 study; Temporal clinical parameter analysis and validation of early diagnostic biomarker signatures for severe inflammation andsepsis-SIRS discrimination. Front. Immunol. 14, 1308530. https:\/\/doi.org\/10.3389\/fimmu.2023.1308530 (2023).","journal-title":"Front. Immunol."},{"key":"95028_CR37","doi-asserted-by":"publisher","first-page":"1298041","DOI":"10.3389\/fimmu.2023.1298041","volume":"14","author":"C Yi","year":"2023","unstructured":"Yi, C., Zhang, H., Yang, J., Chen, D. & Jiang, S. Elucidating common pathogenic transcriptional networks in infective endocarditis and sepsis: Integrated insights from biomarker discovery and single-cell RNA sequencing. Front. Immunol. 14, 1298041. https:\/\/doi.org\/10.3389\/fimmu.2023.1298041 (2023).","journal-title":"Front. Immunol."},{"key":"95028_CR38","doi-asserted-by":"publisher","first-page":"1094","DOI":"10.1007\/s12519-023-00717-7","volume":"19","author":"WY Zhang","year":"2023","unstructured":"Zhang, W. Y. et al. Analysis and validation of diagnostic biomarkers and immune cell infiltration characteristics in pediatric sepsis by integrating bioinformatics and machine learning. World J. Pediatr. 19, 1094\u20131103. https:\/\/doi.org\/10.1007\/s12519-023-00717-7 (2023).","journal-title":"World J. Pediatr."},{"key":"95028_CR39","doi-asserted-by":"publisher","first-page":"1264873","DOI":"10.3389\/fgene.2023.1264873","volume":"14","author":"H Chen","year":"2023","unstructured":"Chen, H., Chen, E., Lu, Y. & Xu, Y. Identification of immune-related genes in diagnosing retinopathy of prematurity with sepsis through bioinformatics analysis and machine learning. Front. Genet. 14, 1264873. https:\/\/doi.org\/10.3389\/fgene.2023.1264873 (2023).","journal-title":"Front. Genet."},{"key":"95028_CR40","doi-asserted-by":"publisher","first-page":"956","DOI":"10.1002\/iub.2033","volume":"71","author":"JX Chen","year":"2019","unstructured":"Chen, J. X., Xu, X. & Zhang, S. Silence of long noncoding RNA NEAT1 exerts suppressive effects on immunity during sepsis by promoting microRNA-125-dependent MCEMP1 downregulation. IUBMB Life. 71, 956\u2013968. https:\/\/doi.org\/10.1002\/iub.2033 (2019).","journal-title":"IUBMB Life"},{"key":"95028_CR41","doi-asserted-by":"publisher","first-page":"1184700","DOI":"10.3389\/fimmu.2023.1184700","volume":"14","author":"C Kong","year":"2023","unstructured":"Kong, C., Zhu, Y., Xie, X., Wu, J. & Qian, M. Six potential biomarkers in septic shock: A deep bioinformatics and prospective observational study. Front. Immunol. 14, 1184700. https:\/\/doi.org\/10.3389\/fimmu.2023.1184700 (2023).","journal-title":"Front. Immunol."},{"key":"95028_CR42","doi-asserted-by":"publisher","first-page":"455","DOI":"10.2119\/molmed.2016.00058","volume":"22","author":"SJ Atkinson","year":"2016","unstructured":"Atkinson, S. J. et al. Matrix Metalloproteinase-8 augments bacterial clearance in a juvenile sepsis model. Mol. Med. 22, 455\u2013463. https:\/\/doi.org\/10.2119\/molmed.2016.00058 (2016).","journal-title":"Mol. Med."},{"key":"95028_CR43","doi-asserted-by":"publisher","first-page":"305","DOI":"10.1016\/s2213-2600(23)00330-2","volume":"12","author":"S Cajander","year":"2024","unstructured":"Cajander, S. et al. Profiling the dysregulated immune response in sepsis: Overcoming challenges to achieve the goal of precision medicine. Lancet Respir Med. 12, 305\u2013322. https:\/\/doi.org\/10.1016\/s2213-2600(23)00330-2 (2024).","journal-title":"Lancet Respir Med."},{"key":"95028_CR44","doi-asserted-by":"publisher","first-page":"1128476","DOI":"10.3389\/fimmu.2023.1128476","volume":"14","author":"J Dong","year":"2023","unstructured":"Dong, J., Wang, S., Hu, Z. & Gong, L. Extracellular proteins as potential biomarkers in Sepsis-related cerebral injury. Front. Immunol. 14, 1128476. https:\/\/doi.org\/10.3389\/fimmu.2023.1128476 (2023).","journal-title":"Front. Immunol."},{"key":"95028_CR45","doi-asserted-by":"publisher","unstructured":"Fiotti, N. et al. Genetic variants of matrix metalloproteinase and sepsis: The need speed study. Biomolecules. 12 https:\/\/doi.org\/10.3390\/biom12020279 (2022).","DOI":"10.3390\/biom12020279"},{"key":"95028_CR46","doi-asserted-by":"publisher","first-page":"953977","DOI":"10.3389\/fphys.2022.953977","volume":"13","author":"M Wang","year":"2022","unstructured":"Wang, M., Jiang, F., Zhang, L., Zhang, J. & Xie, H. Knockdown of P2Y4 ameliorates sepsis-induced acute kidney injury in mice via inhibiting the activation of the NF-\u03baB\/MMP8 axis. Front. Physiol. 13, 953977. https:\/\/doi.org\/10.3389\/fphys.2022.953977 (2022).","journal-title":"Front. Physiol."},{"key":"95028_CR47","doi-asserted-by":"publisher","first-page":"1084568","DOI":"10.3389\/fimmu.2022.1084568","volume":"13","author":"RQ Yao","year":"2022","unstructured":"Yao, R. Q. et al. Combination of transcriptional biomarkers and clinical parameters for early prediction of sepsis indued acute respiratory distress syndrome. Front. Immunol. 13, 1084568. https:\/\/doi.org\/10.3389\/fimmu.2022.1084568 (2022).","journal-title":"Front. Immunol."},{"key":"95028_CR48","doi-asserted-by":"publisher","first-page":"592303","DOI":"10.3389\/fimmu.2021.592303","volume":"12","author":"S Banerjee","year":"2021","unstructured":"Banerjee, S., Mohammed, A., Wong, H. R., Palaniyar, N. & Kamaleswaran, R. Machine learning identifies complicated sepsis course and subsequent mortality based on 20 genes in peripheral blood immune cells at 24 H Post-ICU admission. Front. Immunol. 12, 592303. https:\/\/doi.org\/10.3389\/fimmu.2021.592303 (2021).","journal-title":"Front. Immunol."},{"key":"95028_CR49","doi-asserted-by":"publisher","first-page":"511","DOI":"10.1186\/s13054-014-0511-3","volume":"18","author":"C Coletta","year":"2014","unstructured":"Coletta, C. et al. Endothelial dysfunction is a potential contributor to multiple organ failure and mortality in aged mice subjected to septic shock: Preclinical studies in a murine model of cecal ligation and puncture. Crit. Care. 18, 511. https:\/\/doi.org\/10.1186\/s13054-014-0511-3 (2014).","journal-title":"Crit. Care"},{"key":"95028_CR50","doi-asserted-by":"publisher","unstructured":"Faenza, I. & Blalock, W. L. Innate Immunity: A Balance between Disease and Adaption to Stress. Biomolecules. 12 https:\/\/doi.org\/10.3390\/biom12050737 (2022).","DOI":"10.3390\/biom12050737"},{"key":"95028_CR51","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1378\/chest.112.1.235","volume":"112","author":"RC Bone","year":"1997","unstructured":"Bone, R. C., Grodzin, C. J. & Balk, R. A. Sepsis: a new hypothesis for pathogenesis of the disease process. Chest 112, 235\u2013243. https:\/\/doi.org\/10.1378\/chest.112.1.235 (1997).","journal-title":"Chest"}],"container-title":["Scientific Reports"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-95028-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-95028-4","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-95028-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T18:42:41Z","timestamp":1743014561000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-95028-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3,26]]},"references-count":51,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["95028"],"URL":"https:\/\/doi.org\/10.1038\/s41598-025-95028-4","relation":{},"ISSN":["2045-2322"],"issn-type":[{"value":"2045-2322","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,3,26]]},"assertion":[{"value":"23 June 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 March 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 March 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"10456"}}