{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,4]],"date-time":"2026-11-04T17:38:17Z","timestamp":1793813897308,"version":"4.6.1"},"reference-count":107,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T00:00:00Z","timestamp":1781049600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T00:00:00Z","timestamp":1781049600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Mol Biol Rep"],"published-print":{"date-parts":[[2026,12]]},"DOI":"10.1007\/s11033-026-12107-z","type":"journal-article","created":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T07:57:50Z","timestamp":1781078270000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Multi-omics insights into immunometabolic dysregulation in neonatal sepsis for precision medicine"],"prefix":"10.1007","volume":"53","author":[{"family":"Mohit","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sheetal","family":"Verma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ankita","family":"Yadav","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vimala","family":"Venkatesh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,6,10]]},"reference":[{"issue":"1","key":"12107_CR1","doi-asserted-by":"publisher","first-page":"110","DOI":"10.1186\/s40364-024-00643-4","volume":"12","author":"X Wu","year":"2024","unstructured":"Wu X et al (2024) Single-cell sequencing to multi-omics: technologies and applications. Biomark Res 12(1):110","journal-title":"Biomark Res"},{"issue":"3","key":"12107_CR2","doi-asserted-by":"publisher","first-page":"25","DOI":"10.3390\/proteomes12030025","volume":"12","author":"R Vitorino","year":"2024","unstructured":"Vitorino R (2024) Transforming clinical research: the power of high-throughput omics integration. Proteomes 12(3):25","journal-title":"Proteomes"},{"issue":"4","key":"12107_CR3","doi-asserted-by":"publisher","first-page":"3105","DOI":"10.3390\/ijms24043105","volume":"24","author":"H Li","year":"2023","unstructured":"Li H, Tahir Ul Qamar M, Yang L, Liang J, You J, Wang L (2023) Current progress, applications and challenges of multi-omics approaches in sesame genetic improvement. Int J Mol Sci 24(4):3105","journal-title":"Int J Mol Sci"},{"issue":"14","key":"12107_CR4","doi-asserted-by":"publisher","first-page":"6647","DOI":"10.3390\/ijms26146647","volume":"26","author":"S Taha","year":"2025","unstructured":"Taha S, Bindayna K, Aljishi M, Sultan A, Almansour N (2025) Transcriptomic Profiling Reveals Distinct Immune Dysregulation in Early-Stage Sepsis Patients. Int J Mol Sci 26(14):6647","journal-title":"Int J Mol Sci"},{"issue":"1","key":"12107_CR5","doi-asserted-by":"publisher","first-page":"24760","DOI":"10.1038\/s41598-025-07398-4","volume":"15","author":"C Sombetzki","year":"2025","unstructured":"Sombetzki C et al (2025) Impact of glucocorticoid receptor polymorphism rs6198 on sepsis survival in a prospective multicenter cohort. Sci Rep 15(1):24760","journal-title":"Sci Rep"},{"issue":"1","key":"12107_CR6","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1186\/s13148-025-01944-7","volume":"17","author":"J He","year":"2025","unstructured":"He J et al (2025) Clinical significance and prognostic value of SIRT1 genetic variants in sepsis: a multicenter hospital-based case-control study. Clin Epigenetics 17(1):135","journal-title":"Clin Epigenetics"},{"issue":"1","key":"12107_CR7","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1186\/s12916-025-03920-7","volume":"23","author":"P Huang","year":"2025","unstructured":"Huang P et al (2025) Metabolomics- and proteomics-based multi-omics integration reveals early metabolite alterations in sepsis-associated acute kidney injury. BMC Med 23(1):79","journal-title":"BMC Med"},{"issue":"2","key":"12107_CR8","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1111\/jpc.14572","volume":"56","author":"Y He","year":"2020","unstructured":"He Y et al (2020) Efficacy and safety of applying a neonatal early-onset sepsis risk calculator in China. J Paediatr Child Health 56(2):237\u2013243","journal-title":"J Paediatr Child Health"},{"issue":"5","key":"12107_CR9","doi-asserted-by":"publisher","first-page":"716","DOI":"10.1097\/SHK.0000000000002117","volume":"59","author":"X Long","year":"2023","unstructured":"Long X et al (2023) Global signatures of the microbiome and metabolome during hospitalization of septic patients. Shock 59(5):716\u2013724","journal-title":"Shock"},{"issue":"2","key":"12107_CR10","first-page":"151","volume":"122","author":"F Iqbal","year":"2025","unstructured":"Iqbal F et al (2025) Gut pathogen colonization: a risk factor to bloodstream infections in preterm neonates admitted in the neonatal intensive care unit - a prospective cohort study. Neonatology 122(2):151\u2013160","journal-title":"Neonatology"},{"issue":"7","key":"12107_CR11","doi-asserted-by":"publisher","first-page":"1496","DOI":"10.3390\/biomedicines12071496","volume":"12","author":"AE Mohr","year":"2024","unstructured":"Mohr AE, Ortega-Santos CP, Whisner CM, Klein-Seetharaman J, Jasbi P (2024) Navigating challenges and opportunities in multi-omics integration for personalized healthcare. Biomedicines 12(7):1496","journal-title":"Biomedicines"},{"issue":"1","key":"12107_CR12","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1186\/s13054-023-04412-x","volume":"27","author":"S Sun","year":"2023","unstructured":"Sun S et al (2023) Altered intestinal microbiome and metabolome correspond to the clinical outcome of sepsis. Crit Care 27(1):127","journal-title":"Crit Care"},{"issue":"5","key":"12107_CR13","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1007\/s11306-024-02172-5","volume":"20","author":"S Salihovic","year":"2024","unstructured":"Salihovic S et al (2024) Exploring the circulating metabolome of sepsis: metabolomic and lipidomic profiles sampled in the ambulance. Metabolomics 20(5):111","journal-title":"Metabolomics"},{"issue":"1","key":"12107_CR14","doi-asserted-by":"crossref","first-page":"e220271","DOI":"10.1530\/JOE-22-0271","volume":"257","author":"M van de Vyver","year":"2023","unstructured":"van de Vyver M (2023) Immunology of chronic low-grade inflammation: relationship with metabolic function. J Endocrinol 257(1):e220271","journal-title":"J Endocrinol"},{"issue":"18","key":"12107_CR15","doi-asserted-by":"publisher","first-page":"14173","DOI":"10.3390\/ijms241814173","volume":"24","author":"R de Jong","year":"2023","unstructured":"de Jong R, Tenbrock K, Ohl K (2023) New insights in immunometabolism in neonatal monocytes and macrophages in health and disease. Int J Mol Sci 24(18):14173","journal-title":"Int J Mol Sci"},{"issue":"1","key":"12107_CR16","doi-asserted-by":"publisher","first-page":"15149","DOI":"10.1038\/s41598-021-94474-0","volume":"11","author":"PM de Azambuja Rodrigues","year":"2021","unstructured":"de Azambuja Rodrigues PM et al (2021) Proteomics reveals disturbances in the immune response and energy metabolism of monocytes from patients with septic shock. Sci Rep 11(1):15149","journal-title":"Sci Rep"},{"issue":"1","key":"12107_CR17","doi-asserted-by":"publisher","first-page":"2239","DOI":"10.1038\/s41467-025-57357-w","volume":"16","author":"G Ehlers","year":"2025","unstructured":"Ehlers G et al (2025) Oxidative phosphorylation is a key feature of neonatal monocyte immunometabolism promoting myeloid differentiation after birth. Nat Commun 16(1):2239","journal-title":"Nat Commun"},{"issue":"6","key":"12107_CR18","first-page":"CD012404","volume":"6","author":"S Warttig","year":"2018","unstructured":"Warttig S, Alderson P, Evans DJ, Lewis SR, Kourbeti IS, Smith AF (2018) Automated monitoring compared to standard care for the early detection of sepsis in critically ill patients. Cochrane Database Syst Rev 6(6):CD012404","journal-title":"Cochrane Database Syst Rev"},{"issue":"1","key":"12107_CR19","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1186\/s12967-022-03320-y","volume":"20","author":"Q Chen","year":"2022","unstructured":"Chen Q et al (2022) Integrative analysis of metabolomics and proteomics reveals amino acid metabolism disorder in sepsis. J Transl Med 20(1):123","journal-title":"J Transl Med"},{"issue":"3","key":"12107_CR20","first-page":"602","volume":"10","author":"A Parra-Llorca","year":"2023","unstructured":"Parra-Llorca A, Pinilla-Gonzlez A, Torrej\u00f3n-Rodr\u00edguez L, Lara-Cant\u00f3n I, Kuligowski J, Collado MC, Gormaz M, Aguar M, Vento M, Serna E, Cernada M (2023) Effects of sepsis on immune response, microbiome and oxidative metabolism in preterm infants. Child (Basel) 10(3):602","journal-title":"Child (Basel)"},{"issue":"1","key":"12107_CR21","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1186\/s13054-024-05000-3","volume":"28","author":"M Lin","year":"2024","unstructured":"Lin M et al (2024) Integrative multi-omics analysis unravels the host response landscape and reveals a serum protein panel for early prognosis prediction for ARDS. Crit Care 28(1):213","journal-title":"Crit Care"},{"issue":"1","key":"12107_CR22","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1186\/s12879-025-10527-z","volume":"25","author":"X Tu","year":"2025","unstructured":"Tu X, Chen J, Liu W (2025) Development and internal validation of a metabolism-related model for predicting 30-day mortality in neonatal sepsis. BMC Infect Dis 25(1):121","journal-title":"BMC Infect Dis"},{"issue":"7","key":"12107_CR23","doi-asserted-by":"publisher","first-page":"1681","DOI":"10.1038\/s41591-023-02401-9","volume":"29","author":"S Lunke","year":"2023","unstructured":"Lunke S et al (2023) Integrated multi-omics for rapid rare disease diagnosis on a national scale. Nat Med 29(7):1681\u20131691","journal-title":"Nat Med"},{"key":"12107_CR24","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1016\/j.sleep.2021.02.022","volume":"81","author":"Mohit","year":"2021","unstructured":"Mohit et al (2021) COVID-19 exposure and obstructive sleep apnea: a therapeutic approach. Sleep Med 81:123","journal-title":"Sleep Med"},{"issue":"10449","key":"12107_CR25","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1016\/S0140-6736(24)00495-1","volume":"404","author":"T Strunk","year":"2024","unstructured":"Strunk T et al (2024) Neonatal bacterial sepsis. Lancet 404(10449):277\u2013293","journal-title":"Lancet"},{"issue":"2","key":"12107_CR26","doi-asserted-by":"publisher","first-page":"396","DOI":"10.3390\/microorganisms11020396","volume":"11","author":"F Miselli","year":"2023","unstructured":"Miselli F, Crestani S, Maugeri M, Passini E, Spaggiari V, Deonette E, \u0106osi\u0107 B, Rossi K, Roversi MF, Bedetti L, Lugli L, Costantini RC, Berardi A (2023) Late-onset sepsis mortality among preterm infants: beyond time to first antibiotics. Microorganisms 11(2):396","journal-title":"Microorganisms"},{"key":"12107_CR27","doi-asserted-by":"publisher","first-page":"940930","DOI":"10.3389\/fimmu.2022.940930","volume":"13","author":"E Hensler","year":"2022","unstructured":"Hensler E et al (2022) The Neonatal Innate Immune Response to Sepsis: Checkpoint Proteins as Novel Mediators of This Response and as Possible Therapeutic\/Diagnostic Levers. Front Immunol 13:940930","journal-title":"Front Immunol"},{"issue":"6","key":"12107_CR28","doi-asserted-by":"publisher","first-page":"R879","DOI":"10.1152\/ajpregu.00307.2020","volume":"321","author":"ML Dias","year":"2021","unstructured":"Dias ML et al (2021) Targeting the Toll-like receptor pathway as a therapeutic strategy for neonatal infection. Am J Physiol Regul Integr Comp Physiol 321(6):R879\u2013r902","journal-title":"Am J Physiol Regul Integr Comp Physiol"},{"issue":"15","key":"12107_CR29","doi-asserted-by":"publisher","first-page":"5315","DOI":"10.3390\/jcm14155315","volume":"14","author":"A Vulc\u0103nescu","year":"2025","unstructured":"Vulc\u0103nescu A, Siminel MA, Dijm\u0103rescu AL, Manolea MM, S\u0103ndulescu SM, R\u0103dulescu VM, Gheorman V, Dinescu SN (2025) Molecular mechanisms underlying inflammation in early-onset neonatal sepsis: a systematic review of human studies. J Clin Med 14(15):5315","journal-title":"J Clin Med"},{"issue":"12","key":"12107_CR30","first-page":"1232","volume":"16","author":"H Boskabadi","year":"2013","unstructured":"Boskabadi H et al (2013) Evaluation of serum interleukins-6, 8 and 10 levels as diagnostic markers of neonatal infection and possibility of mortality. Iran J Basic Med Sci 16(12):1232\u20131237","journal-title":"Iran J Basic Med Sci"},{"issue":"8","key":"12107_CR31","doi-asserted-by":"publisher","first-page":"1990","DOI":"10.4049\/jimmunol.2000710","volume":"205","author":"S Elahi","year":"2020","unstructured":"Elahi S (2020) Neonatal and Children\u2019s Immune System and COVID-19: Biased Immune Tolerance versus Resistance Strategy. J Immunol 205(8):1990\u20131997","journal-title":"J Immunol"},{"key":"12107_CR32","doi-asserted-by":"publisher","first-page":"5","DOI":"10.3389\/fped.2020.00005","volume":"8","author":"GP Tsafaras","year":"2020","unstructured":"Tsafaras GP, Ntontsi P, Xanthou G (2020) Advantages and Limitations of the Neonatal Immune System. Front Pediatr 8:5","journal-title":"Front Pediatr"},{"issue":"7478","key":"12107_CR33","doi-asserted-by":"publisher","first-page":"158","DOI":"10.1038\/nature12675","volume":"504","author":"S Elahi","year":"2013","unstructured":"Elahi S et al (2013) Immunosuppressive CD71\u2009+\u2009erythroid cells compromise neonatal host defence against infection. Nature 504(7478):158\u2013162","journal-title":"Nature"},{"key":"12107_CR34","doi-asserted-by":"crossref","unstructured":"Elahi S (2026) Immune regulation by erythroid cells: how erythroid progenitor cells and mature red blood cells shape immunity. Nat Rev Immunol","DOI":"10.1038\/s41577-026-01303-4"},{"key":"12107_CR35","doi-asserted-by":"publisher","first-page":"907992","DOI":"10.3389\/fmed.2022.907992","volume":"9","author":"L Raia","year":"2022","unstructured":"Raia L, Zafrani L (2022) Endothelial Activation and Microcirculatory Disorders in Sepsis. Front Med (Lausanne) 9:907992","journal-title":"Front Med (Lausanne)"},{"issue":"2","key":"12107_CR36","doi-asserted-by":"publisher","first-page":"100100","DOI":"10.1016\/j.rpth.2023.100100","volume":"7","author":"D Gialamprinou","year":"2023","unstructured":"Gialamprinou D et al (2023) Sepsis-induced coagulopathy in preterm neonates with Gram-positive sepsis presents with hypercoagulation and reduced platelet activation compared with healthy preterm neonates. Res Pract Thromb Haemost 7(2):100100","journal-title":"Res Pract Thromb Haemost"},{"key":"12107_CR37","doi-asserted-by":"publisher","first-page":"117955652412813","DOI":"10.1177\/11795565241281337","volume":"18","author":"A Raturi","year":"2024","unstructured":"Raturi A, Chandran S (2024) Neonatal Sepsis: Aetiology, Pathophysiology, Diagnostic Advances and Management Strategies. Clin Med Insights Pediatr 18:11795565241281337","journal-title":"Clin Med Insights Pediatr"},{"issue":"2","key":"12107_CR38","first-page":"292","volume":"15","author":"A Vulc\u0103nescu","year":"2025","unstructured":"Vulc\u0103nescu A, Siminel MA, Dinescu SN, Boldeanu MV, Dijm\u0103rescu AL, Manolea MM, V\u0103duva CC (2025) Systematic review: maternal risk factors, socioeconomic influences, neonatal biomarkers and management of early-onset sepsis in late preterm and term newborns-a focus on european and eastern european contexts. Life (Basel) 15(2):292","journal-title":"Life (Basel)"},{"issue":"3","key":"12107_CR39","doi-asserted-by":"publisher","first-page":"350","DOI":"10.1016\/j.immuni.2017.03.009","volume":"46","author":"TR Kollmann","year":"2017","unstructured":"Kollmann TR et al (2017) Protecting the Newborn and Young Infant from Infectious Diseases: Lessons from Immune Ontogeny. Immunity 46(3):350\u2013363","journal-title":"Immunity"},{"key":"12107_CR40","doi-asserted-by":"publisher","first-page":"1618177","DOI":"10.3389\/fmicb.2025.1618177","volume":"16","author":"J Lu","year":"2025","unstructured":"Lu J et al (2025) Multi-omics decodes host-specific and environmental microbiome interactions in sepsis. Front Microbiol 16:1618177","journal-title":"Front Microbiol"},{"issue":"1","key":"12107_CR41","doi-asserted-by":"publisher","first-page":"18814","DOI":"10.1038\/s41598-025-01442-z","volume":"15","author":"J Zhou","year":"2025","unstructured":"Zhou J et al (2025) Age-related stress gene expression in neonatal sepsis involves regulatory networks and immune cell infiltration. Sci Rep 15(1):18814","journal-title":"Sci Rep"},{"key":"12107_CR42","doi-asserted-by":"publisher","first-page":"1224335","DOI":"10.3389\/fimmu.2023.1224335","volume":"14","author":"R Muniz-Santos","year":"2023","unstructured":"Muniz-Santos R et al (2023) Lipid oxidation dysregulation: an emerging player in the pathophysiology of sepsis. Front Immunol 14:1224335","journal-title":"Front Immunol"},{"issue":"1","key":"12107_CR43","doi-asserted-by":"publisher","first-page":"373","DOI":"10.1186\/s12964-025-02368-9","volume":"23","author":"JH Han","year":"2025","unstructured":"Han JH (2025) Immuno-metabolic diseases and therapeutics: molecular mechanisms via inflammasome signaling. Cell Commun Signal 23(1):373","journal-title":"Cell Commun Signal"},{"issue":"4","key":"12107_CR44","doi-asserted-by":"publisher","first-page":"C666","DOI":"10.1152\/ajpcell.00607.2020","volume":"322","author":"T Regan","year":"2022","unstructured":"Regan T, Conway R, Bharath LP (2022) Regulation of immune cell function by nicotinamide nucleotide transhydrogenase. Am J Physiol Cell Physiol 322(4):C666\u2013c673","journal-title":"Am J Physiol Cell Physiol"},{"issue":"2","key":"12107_CR45","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1038\/s41390-021-01696-z","volume":"91","author":"IH Celik","year":"2022","unstructured":"Celik IH et al (2022) Diagnosis of neonatal sepsis: the past, present and future. Pediatr Res 91(2):337\u2013350","journal-title":"Pediatr Res"},{"issue":"4","key":"12107_CR46","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1002\/ped4.12405","volume":"7","author":"X Wang","year":"2023","unstructured":"Wang X et al (2023) Multilevel omics for the discovery of biomarkers in pediatric sepsis. Pediatr Investig 7(4):277\u2013289","journal-title":"Pediatr Investig"},{"issue":"4","key":"12107_CR47","doi-asserted-by":"publisher","first-page":"749","DOI":"10.21037\/tp-22-369","volume":"12","author":"W Dai","year":"2023","unstructured":"Dai W, Zhou W (2023) A narrative review of precision medicine in neonatal sepsis: genetic and epigenetic factors associated with disease susceptibility. Transl Pediatr 12(4):749\u2013767","journal-title":"Transl Pediatr"},{"issue":"13","key":"12107_CR48","doi-asserted-by":"publisher","first-page":"1005","DOI":"10.2217\/bmm-2022-0390","volume":"16","author":"M Li","year":"2022","unstructured":"Li M et al (2022) Effect of TLR-4 gene polymorphisms on sepsis susceptibility in neonates: a systematic review and meta-analysis. Biomark Med 16(13):1005\u20131017","journal-title":"Biomark Med"},{"issue":"10","key":"12107_CR49","doi-asserted-by":"publisher","first-page":"e614","DOI":"10.1093\/cid\/ciaa290","volume":"71","author":"A Borghesi","year":"2020","unstructured":"Borghesi A et al (2020) Whole-exome Sequencing for the Identification of Rare Variants in Primary Immunodeficiency Genes in Children With Sepsis: A Prospective, Population-based Cohort Study. Clin Infect Dis 71(10):e614\u2013e623","journal-title":"Clin Infect Dis"},{"issue":"1","key":"12107_CR50","doi-asserted-by":"publisher","first-page":"uxaf007","DOI":"10.1093\/cei\/uxaf007","volume":"219","author":"A El Moundir","year":"2025","unstructured":"Moundir A, Aissaoui O, Akhrichi N, Allaoui A, Benhsaien I, Jouanguy E, Casanova JL, El Bakkouri J, Ailal F, Bousfiha AA (2025) Application of whole-exome sequencing to predict inborn errors of immunity in pediatric severe infections and sepsis. Clin Exp Immunol 219(1):uxaf007","journal-title":"Clin Exp Immunol"},{"issue":"9","key":"12107_CR51","first-page":"199","volume":"9","author":"DU De Rose","year":"2024","unstructured":"De Rose DU, Ronchetti MP, Martini L, Rechichi J, Iannetta M, Dotta A, Auriti C (2024) Diagnosis and management of neonatal bacterial sepsis: current challenges and future perspectives. Trop Med Infect Dis 9(9):199","journal-title":"Trop Med Infect Dis"},{"key":"12107_CR52","doi-asserted-by":"publisher","first-page":"1011723","DOI":"10.3389\/fped.2023.1011723","volume":"11","author":"S Agudelo-P\u00e9rez","year":"2023","unstructured":"Agudelo-P\u00e9rez S et al (2023) Metagenomics by next-generation sequencing (mNGS) in the etiological characterization of neonatal and pediatric sepsis: A systematic review. Front Pediatr 11:1011723","journal-title":"Front Pediatr"},{"issue":"2","key":"12107_CR53","doi-asserted-by":"publisher","first-page":"614","DOI":"10.1038\/s41390-024-03448-1","volume":"97","author":"J Balks","year":"2025","unstructured":"Balks J et al (2025) Microbial cell-free DNA-sequencing as an addition to conventional diagnostics in neonatal sepsis. Pediatr Res 97(2):614\u2013624","journal-title":"Pediatr Res"},{"issue":"3","key":"12107_CR54","doi-asserted-by":"publisher","first-page":"637","DOI":"10.1038\/s41390-021-01444-3","volume":"91","author":"M Cernada","year":"2022","unstructured":"Cernada M et al (2022) Transcriptome profiles discriminate between Gram-positive and Gram-negative sepsis in preterm neonates. Pediatr Res 91(3):637\u2013645","journal-title":"Pediatr Res"},{"issue":"1","key":"12107_CR55","doi-asserted-by":"publisher","first-page":"3987","DOI":"10.1038\/s41598-025-34126-9","volume":"16","author":"F Alhamdan","year":"2025","unstructured":"Alhamdan F, Gianoli S, Yuki K, Koutsogiannaki S (2025) Single-cell analysis of B cell dysregulation in pediatric sepsis stratified by disease severity. Sci Rep 16(1):3987","journal-title":"Sci Rep"},{"key":"12107_CR56","doi-asserted-by":"publisher","first-page":"1577105","DOI":"10.3389\/fimmu.2025.1577105","volume":"16","author":"X Gao","year":"2025","unstructured":"Gao X et al (2025) Sepsis-induced immunosuppression: mechanisms, biomarkers and immunotherapy. Front Immunol 16:1577105","journal-title":"Front Immunol"},{"issue":"2","key":"12107_CR57","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1093\/jpids\/pix021","volume":"7","author":"TE Sweeney","year":"2018","unstructured":"Sweeney TE et al (2018) Validation of the Sepsis MetaScore for Diagnosis of Neonatal Sepsis. J Pediatr Infect Dis Soc 7(2):129\u2013135","journal-title":"J Pediatr Infect Dis Soc"},{"issue":"3","key":"12107_CR58","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1097\/QCO.0b013e32832a5963","volume":"22","author":"CS Buhimschi","year":"2009","unstructured":"Buhimschi CS et al (2009) Using proteomics in perinatal and neonatal sepsis: hopes and challenges for the future. Curr Opin Infect Dis 22(3):235\u2013243","journal-title":"Curr Opin Infect Dis"},{"key":"12107_CR59","doi-asserted-by":"publisher","first-page":"1625449","DOI":"10.3389\/fped.2025.1625449","volume":"13","author":"CY Lee","year":"2025","unstructured":"Lee CY et al (2025) Using molecular methods to diagnose, classify, and treat neonatal sepsis: a scoping review. Front Pediatr 13:1625449","journal-title":"Front Pediatr"},{"issue":"8","key":"12107_CR60","doi-asserted-by":"publisher","first-page":"456","DOI":"10.1007\/s00018-022-04490-0","volume":"79","author":"J Liu","year":"2022","unstructured":"Liu J et al (2022) Metabolic reprogramming consequences of sepsis: adaptations and contradictions. Cell Mol Life Sci 79(8):456","journal-title":"Cell Mol Life Sci"},{"key":"12107_CR61","doi-asserted-by":"publisher","first-page":"1487576","DOI":"10.3389\/fimmu.2024.1487576","volume":"15","author":"AB Liu","year":"2024","unstructured":"Liu AB et al (2024) The role of inflammatory response and metabolic reprogramming in sepsis-associated acute kidney injury: mechanistic insights and therapeutic potential. Front Immunol 15:1487576","journal-title":"Front Immunol"},{"key":"12107_CR62","doi-asserted-by":"publisher","first-page":"1491065","DOI":"10.3389\/fcell.2024.1491065","volume":"12","author":"Z Bian","year":"2024","unstructured":"Bian Z et al (2024) Metabolic biomarkers of neonatal sepsis: identification using metabolomics combined with machine learning. Front Cell Dev Biol 12:1491065","journal-title":"Front Cell Dev Biol"},{"issue":"8","key":"12107_CR63","doi-asserted-by":"publisher","first-page":"2316","DOI":"10.1111\/apa.15874","volume":"110","author":"AU Bjerkhaug","year":"2021","unstructured":"Bjerkhaug AU, Granslo HN, Klingenberg C (2021) Metabolic responses in neonatal sepsis-A systematic review of human metabolomic studies. Acta Paediatr 110(8):2316\u20132325","journal-title":"Acta Paediatr"},{"issue":"2","key":"12107_CR64","doi-asserted-by":"publisher","first-page":"290","DOI":"10.1038\/pr.2014.177","volume":"77","author":"S Badurdeen","year":"2015","unstructured":"Badurdeen S, Mulongo M, Berkley JA (2015) Arginine depletion increases susceptibility to serious infections in preterm newborns. Pediatr Res 77(2):290\u2013297","journal-title":"Pediatr Res"},{"issue":"3","key":"12107_CR65","doi-asserted-by":"publisher","first-page":"270","DOI":"10.7150\/ntno.94071","volume":"8","author":"S Pandey","year":"2024","unstructured":"Pandey S (2024) Sepsis, Management & Advances in Metabolomics. Nanotheranostics 8(3):270\u2013284","journal-title":"Nanotheranostics"},{"key":"12107_CR66","doi-asserted-by":"publisher","first-page":"622599","DOI":"10.3389\/fimmu.2021.622599","volume":"12","author":"S Lorente-Pozo","year":"2021","unstructured":"Lorente-Pozo S et al (2021) DNA Methylation Analysis to Unravel Altered Genetic Pathways Underlying Early Onset and Late Onset Neonatal Sepsis. A Pilot Study. Front Immunol 12:622599","journal-title":"Front Immunol"},{"issue":"2","key":"12107_CR67","doi-asserted-by":"publisher","first-page":"297","DOI":"10.1038\/s41390-021-01630-3","volume":"91","author":"J Bermick","year":"2022","unstructured":"Bermick J, Schaller M (2022) Epigenetic regulation of pediatric and neonatal immune responses. Pediatr Res 91(2):297\u2013327","journal-title":"Pediatr Res"},{"issue":"7","key":"12107_CR68","doi-asserted-by":"publisher","first-page":"166768","DOI":"10.1016\/j.bbadis.2023.166768","volume":"1869","author":"J Pradhan","year":"2023","unstructured":"Pradhan J et al (2023) Pregnancy, infection, and epigenetic regulation: A complex scenario. Biochim Biophys Acta Mol Basis Dis 1869(7):166768","journal-title":"Biochim Biophys Acta Mol Basis Dis"},{"issue":"4","key":"12107_CR69","doi-asserted-by":"publisher","first-page":"G411","DOI":"10.1152\/ajpgi.00399.2020","volume":"320","author":"A Cuna","year":"2021","unstructured":"Cuna A et al (2021) Dynamics of the preterm gut microbiome in health and disease. Am J Physiol Gastrointest Liver Physiol 320(4):G411\u2013g419","journal-title":"Am J Physiol Gastrointest Liver Physiol"},{"issue":"694","key":"12107_CR70","doi-asserted-by":"publisher","first-page":"eadg5562","DOI":"10.1126\/scitranslmed.adg5562","volume":"15","author":"DJ Schwartz","year":"2023","unstructured":"Schwartz DJ et al (2023) Gut pathogen colonization precedes bloodstream infection in the neonatal intensive care unit. Sci Transl Med 15(694):eadg5562","journal-title":"Sci Transl Med"},{"key":"12107_CR71","doi-asserted-by":"publisher","first-page":"108254","DOI":"10.1016\/j.compbiolchem.2024.108254","volume":"113","author":"EH Abdelaziz","year":"2024","unstructured":"Abdelaziz EH et al (2024) Multi-omics data integration and analysis pipeline for precision medicine: Systematic review. Comput Biol Chem 113:108254","journal-title":"Comput Biol Chem"},{"issue":"11","key":"12107_CR72","doi-asserted-by":"publisher","first-page":"1805","DOI":"10.1038\/s41564-022-01237-2","volume":"7","author":"KL Kalantar","year":"2022","unstructured":"Kalantar KL et al (2022) Integrated host-microbe plasma metagenomics for sepsis diagnosis in a prospective cohort of critically ill adults. Nat Microbiol 7(11):1805\u20131816","journal-title":"Nat Microbiol"},{"issue":"9","key":"12107_CR73","doi-asserted-by":"publisher","first-page":"889","DOI":"10.1097\/INF.0000000000004409","volume":"43","author":"D Kainth","year":"2024","unstructured":"Kainth D, Prakash S, Sankar MJ (2024) Diagnostic Performance of Machine Learning-based Models in Neonatal Sepsis: A Systematic Review. Pediatr Infect Dis J 43(9):889\u2013901","journal-title":"Pediatr Infect Dis J"},{"issue":"1","key":"12107_CR74","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1186\/s13059-023-03047-z","volume":"24","author":"Y Yu","year":"2023","unstructured":"Yu Y et al (2023) Correcting batch effects in large-scale multiomics studies using a reference-material-based ratio method. Genome Biol 24(1):201","journal-title":"Genome Biol"},{"key":"12107_CR75","doi-asserted-by":"publisher","first-page":"1616794","DOI":"10.3389\/fimmu.2025.1616794","volume":"16","author":"H Liu","year":"2025","unstructured":"Liu H, Liang Q (2025) Single-cell multi-omics-based immune temporal network resolution in sepsis: unravelling molecular mechanisms and precise therapeutic targets. Front Immunol 16:1616794","journal-title":"Front Immunol"},{"issue":"1","key":"12107_CR76","doi-asserted-by":"publisher","first-page":"665","DOI":"10.1159\/000533602","volume":"15","author":"Y Lyu","year":"2023","unstructured":"Lyu Y et al (2023) Mitochondrial Damage-Associated Molecular Patterns and Metabolism in the Regulation of Innate Immunity. J Innate Immun 15(1):665\u2013679","journal-title":"J Innate Immun"},{"issue":"3","key":"12107_CR77","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1038\/s41423-021-00780-y","volume":"19","author":"WC Chou","year":"2022","unstructured":"Chou WC et al (2022) Impact of intracellular innate immune receptors on immunometabolism. Cell Mol Immunol 19(3):337\u2013351","journal-title":"Cell Mol Immunol"},{"issue":"1","key":"12107_CR78","doi-asserted-by":"publisher","first-page":"198","DOI":"10.1186\/s13059-021-02413-z","volume":"22","author":"X Chu","year":"2021","unstructured":"Chu X et al (2021) Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease. Genome Biol 22(1):198","journal-title":"Genome Biol"},{"issue":"1","key":"12107_CR79","doi-asserted-by":"publisher","first-page":"989","DOI":"10.1186\/s12967-024-05801-8","volume":"22","author":"Z Xie","year":"2024","unstructured":"Xie Z et al (2024) Integrated omics profiling reveals systemic dysregulation and potential biomarkers in the blood of patients with neuromyelitis optica spectrum disorders. J Transl Med 22(1):989","journal-title":"J Transl Med"},{"issue":"7444","key":"12107_CR80","doi-asserted-by":"publisher","first-page":"238","DOI":"10.1038\/nature11986","volume":"496","author":"GM Tannahill","year":"2013","unstructured":"Tannahill GM et al (2013) Succinate is an inflammatory signal that induces IL-1\u03b2 through HIF-1\u03b1. Nature 496(7444):238\u2013242","journal-title":"Nature"},{"issue":"1","key":"12107_CR81","doi-asserted-by":"publisher","first-page":"5555","DOI":"10.1038\/s41598-020-62272-9","volume":"10","author":"M Sharma","year":"2020","unstructured":"Sharma M et al (2020) Enhanced glycolysis and HIF-1\u03b1 activation in adipose tissue macrophages sustains local and systemic interleukin-1\u03b2 production in obesity. Sci Rep 10(1):5555","journal-title":"Sci Rep"},{"issue":"11","key":"12107_CR82","doi-asserted-by":"publisher","first-page":"e3000981","DOI":"10.1371\/journal.pbio.3000981","volume":"18","author":"R Houston","year":"2020","unstructured":"Houston R et al (2020) Acetylation-mediated remodeling of the nucleolus regulates cellular acetyl-CoA responses. PLoS Biol 18(11):e3000981","journal-title":"PLoS Biol"},{"issue":"6","key":"12107_CR83","doi-asserted-by":"publisher","first-page":"375","DOI":"10.1038\/s41577-020-0285-6","volume":"20","author":"MG Netea","year":"2020","unstructured":"Netea MG et al (2020) Defining trained immunity and its role in health and disease. Nat Rev Immunol 20(6):375\u2013388","journal-title":"Nat Rev Immunol"},{"issue":"4","key":"12107_CR84","doi-asserted-by":"publisher","first-page":"1017","DOI":"10.1016\/j.ymthe.2023.01.018","volume":"31","author":"J Li","year":"2023","unstructured":"Li J et al (2023) Gut microbial metabolite hyodeoxycholic acid targets the TLR4\/MD2 complex to attenuate inflammation and protect against sepsis. Mol Ther 31(4):1017\u20131032","journal-title":"Mol Ther"},{"issue":"1","key":"12107_CR85","doi-asserted-by":"publisher","first-page":"142","DOI":"10.1186\/s40168-024-01859-0","volume":"12","author":"P Koleva","year":"2024","unstructured":"Koleva P et al (2024) CD71\u2009+\u2009erythroid cells promote intestinal symbiotic microbial communities in pregnancy and neonatal period. Microbiome 12(1):142","journal-title":"Microbiome"},{"issue":"12","key":"12107_CR86","doi-asserted-by":"publisher","first-page":"e0142424","DOI":"10.1128\/spectrum.01424-24","volume":"12","author":"F Lu","year":"2024","unstructured":"Lu F et al (2024) Multi-omics analysis reveals the interplay between pulmonary microbiome and host in immunocompromised patients with sepsis-induced acute lung injury. Microbiol Spectr 12(12):e0142424","journal-title":"Microbiol Spectr"},{"key":"12107_CR87","doi-asserted-by":"publisher","first-page":"1377817","DOI":"10.3389\/fimmu.2024.1377817","volume":"15","author":"P Xu","year":"2024","unstructured":"Xu P, Tao Z, Zhang C (2024) Integrated multi-omics and artificial intelligence to explore new neutrophils clusters and potential biomarkers in sepsis with experimental validation. Front Immunol 15:1377817","journal-title":"Front Immunol"},{"issue":"30","key":"12107_CR88","doi-asserted-by":"publisher","first-page":"e04418","DOI":"10.1002\/advs.202504418","volume":"12","author":"LL Xu","year":"2025","unstructured":"Xu LL et al (2025) Multi-Omics and -Organ Insights into Energy Metabolic Adaptations in Early Sepsis Onset. Adv Sci (Weinh) 12(30):e04418","journal-title":"Adv Sci (Weinh)"},{"issue":"1","key":"12107_CR89","doi-asserted-by":"publisher","first-page":"361","DOI":"10.1186\/s12967-025-06366-w","volume":"23","author":"H Tong","year":"2025","unstructured":"Tong H et al (2025) Multi-omic studies on the pathogenesis of Sepsis. J Translational Med 23(1):361","journal-title":"J Translational Med"},{"issue":"22","key":"12107_CR90","doi-asserted-by":"publisher","first-page":"2887","DOI":"10.3390\/diagnostics15222887","volume":"15","author":"X Jin","year":"2025","unstructured":"Jin X, Shen H, Zhou P, Yang J, Yang S, Ni H, Yu Y, Zhang Z (2025) Research progress on sepsis diagnosis and monitoring based on omics technologies: a review. Diagnostics (Basel) 15(22):2887","journal-title":"Diagnostics (Basel)"},{"key":"12107_CR91","doi-asserted-by":"publisher","first-page":"1199087","DOI":"10.3389\/fgene.2023.1199087","volume":"14","author":"JS Wekesa","year":"2023","unstructured":"Wekesa JS, Kimwele M (2023) A review of multi-omics data integration through deep learning approaches for disease diagnosis, prognosis, and treatment. Front Genet 14:1199087","journal-title":"Front Genet"},{"issue":"2","key":"12107_CR92","doi-asserted-by":"publisher","first-page":"308","DOI":"10.1038\/s41390-022-02181-x","volume":"93","author":"M Pammi","year":"2023","unstructured":"Pammi M, Aghaeepour N, Neu J (2023) Multiomics, artificial intelligence, and precision medicine in perinatology. Pediatr Res 93(2):308\u2013315","journal-title":"Pediatr Res"},{"issue":"1","key":"12107_CR93","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1186\/s41232-022-00229-3","volume":"42","author":"K Fujio","year":"2022","unstructured":"Fujio K (2022) Entering the era of precision medicine through multiomics approach. Inflamm Regen 42(1):42","journal-title":"Inflamm Regen"},{"issue":"12","key":"12107_CR94","first-page":"e74973","volume":"16","author":"AH Alhamyani","year":"2024","unstructured":"Alhamyani AH et al (2024) Sepsis in Aging Populations: A Review of Risk Factors, Diagnosis, and Management. Cureus 16(12):e74973","journal-title":"Cureus"},{"issue":"16","key":"12107_CR95","doi-asserted-by":"publisher","first-page":"9010","DOI":"10.3390\/ijms25169010","volume":"25","author":"RR He","year":"2024","unstructured":"He RR, Yue GL, Dong ML, Wang JQ, Cheng C (2024) Sepsis biomarkers: advancements and clinical applications-a narrative review. Int J Mol Sci 25(16):9010","journal-title":"Int J Mol Sci"},{"issue":"4","key":"12107_CR96","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1016\/S2213-2600(16)00046-1","volume":"4","author":"EE Davenport","year":"2016","unstructured":"Davenport EE et al (2016) Genomic landscape of the individual host response and outcomes in sepsis: a prospective cohort study. Lancet Respir Med 4(4):259\u2013271","journal-title":"Lancet Respir Med"},{"key":"12107_CR97","doi-asserted-by":"publisher","first-page":"883628","DOI":"10.3389\/fimmu.2022.883628","volume":"13","author":"G Lu","year":"2022","unstructured":"Lu G et al (2022) Landscape of Metabolic Fingerprinting for Diagnosis and Risk Stratification of Sepsis. Front Immunol 13:883628","journal-title":"Front Immunol"},{"key":"12107_CR98","doi-asserted-by":"publisher","first-page":"840288","DOI":"10.3389\/fped.2022.840288","volume":"10","author":"J Eichberger","year":"2022","unstructured":"Eichberger J, Resch E, Resch B (2022) Diagnosis of Neonatal Sepsis: The Role of Inflammatory Markers. Front Pediatr 10:840288","journal-title":"Front Pediatr"},{"key":"12107_CR99","doi-asserted-by":"publisher","first-page":"112552","DOI":"10.1016\/j.bios.2020.112552","volume":"169","author":"S Balayan","year":"2020","unstructured":"Balayan S et al (2020) Recent advances in developing biosensing based platforms for neonatal sepsis. Biosens Bioelectron 169:112552","journal-title":"Biosens Bioelectron"},{"issue":"2","key":"12107_CR100","doi-asserted-by":"publisher","first-page":"202","DOI":"10.3390\/bios13020202","volume":"13","author":"A Kumaran","year":"2023","unstructured":"Kumaran A, Jude Serpes N, Gupta T, James A, Sharma A, Kumar D, Nagraik R, Kumar V, Pandey S (2023) Advancements in CRISPR-based biosensing for next-gen point of care diagnostic application. Biosens (Basel) 13(2):202","journal-title":"Biosens (Basel)"},{"issue":"8","key":"12107_CR101","doi-asserted-by":"publisher","first-page":"1233","DOI":"10.3390\/antibiotics12081233","volume":"12","author":"G Boscarino","year":"2023","unstructured":"Boscarino G, Migliorino R, Carbone G, Davino G, Dell'Orto VG, Perrone S, Principi N, Esposito S (2023) Biomarkers of neonatal sepsis: where we are and where we are going. Antibiot (Basel) 12(8):1233","journal-title":"Antibiot (Basel)"},{"issue":"1","key":"12107_CR102","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1186\/s12014-021-09316-y","volume":"18","author":"N Letunica","year":"2021","unstructured":"Letunica N et al (2021) The use of proteomics for blood biomarker research in premature infants: a scoping review. Clin Proteom 18(1):13","journal-title":"Clin Proteom"},{"key":"12107_CR103","doi-asserted-by":"publisher","first-page":"481","DOI":"10.1186\/s12879-015-1212-5","volume":"15","author":"E Clancy","year":"2015","unstructured":"Clancy E et al (2015) Development of a rapid recombinase polymerase amplification assay for the detection of Streptococcus pneumoniae in whole blood. BMC Infect Dis 15:481","journal-title":"BMC Infect Dis"},{"issue":"1","key":"12107_CR104","doi-asserted-by":"publisher","first-page":"811","DOI":"10.1007\/s11033-024-09705-0","volume":"51","author":"S Banerjee","year":"2024","unstructured":"Banerjee S, K MH, Shastry RP (2024) Loop-mediated isothermal amplification (LAMP) assay for early on-site detection of Group B Streptococcus infection in neonatal sepsis blood sample. Mol Biol Rep 51(1):811","journal-title":"Mol Biol Rep"},{"issue":"5","key":"12107_CR105","doi-asserted-by":"publisher","first-page":"678","DOI":"10.4067\/s0716-10182021000500678","volume":"38","author":"SI Agudelo-P\u00e9rez","year":"2021","unstructured":"Agudelo-P\u00e9rez SI, Molina-Casta\u00f1o C, Quintero L (2021) Precision medicine for the diagnosis of neonatal sepsis: systematic review and meta-analysis]. Rev Chil Infectol 38(5):678\u2013687","journal-title":"Rev Chil Infectol"},{"key":"12107_CR106","doi-asserted-by":"crossref","unstructured":"Atreya MR, Huang M, Moore AR, Zheng H, Hasin-Brumshtein Y, Fitzgerald JC, Weiss SL, Cvijanovich NZ, Bigham MT, Jain PN, Schwarz AJ, Lutfi R, Nowak J, Thomas NJ, Quasney M, Dahmer MK, Baines T, Haileselassie B, Lautz AJ, Stanski NL, Standage SW, Kaplan JM, Zingarelli B, Sweeney TE, Khatri P, Sanchez-Pinto LN, Kamaleswaran R (2023) Derivation, validation, and transcriptomic assessment of pediatric septic shock phenotypes identified through latent profile analyses: Results from a prospective multi-center observational cohort. Res Sq [Preprint]. Dec 6:rs.3.rs-3692289","DOI":"10.21203\/rs.3.rs-3692289\/v1"},{"issue":"1","key":"12107_CR107","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3390\/metabo12010001","volume":"12","author":"K Trongtrakul","year":"2021","unstructured":"Trongtrakul K, Thonusin C, Pothirat C, Chattipakorn SC, Chattipakorn N (2021) Past experiences for future applications of metabolomics in critically ill patients with sepsis and septic shocks. Metabolites 12(1):1","journal-title":"Metabolites"}],"container-title":["Molecular Biology Reports"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11033-026-12107-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11033-026-12107-z","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11033-026-12107-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T09:02:12Z","timestamp":1781082132000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11033-026-12107-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,10]]},"references-count":107,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2026,12]]}},"alternative-id":["12107"],"URL":"https:\/\/doi.org\/10.1007\/s11033-026-12107-z","relation":{},"ISSN":["0301-4851","1573-4978"],"issn-type":[{"value":"0301-4851","type":"print"},{"value":"1573-4978","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,6,10]]},"assertion":[{"value":"23 April 2026","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 June 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 June 2026","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 that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Clinical trial number"}}],"article-number":"920"}}