Background: Lower respiratory tract infections (LRTIs) are the leading cause of infant morbidity and mortality worldwide, and altered metabolite production is recognised as a critical factor in LRTI pathogenesis.
Methods: This study aimed to identify prenatal metabolic changes associated with LRTI risk in infancy, using liquid chromatography-mass spectrometry unbiased metabolomics analysis on cord blood from 810 full-term newborns.
Results: We identified 22 compounds linked to LRTIs in infancy, enriched for purine degradation pathway (PDP) metabolites. High cord blood PDP metabolites, including xanthine, hypoxanthine, xanthosine and inosine, were linked to reduced LRTI risk during infancy. Notably, a low xanthine to uric acid ratio at birth predicted a four-fold increased LRTI risk.
Conclusion: This study is the first to reveal that high cord blood PDP metabolites identify newborns at lower LRTI risk, stratifying disease risk at birth. Moreover, our results prompt further study on PDP enzymes as pharmacological targets to decrease LRTI morbidity and mortality for at-risk newborns.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10895431 | PMC |
| http://dx.doi.org/10.1183/23120541.00693-2023 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
The recent landscape of RSV vaccine research.
Ther Adv Vaccines Immunother
January 2025
Oxford Vaccine Group, Department of Paediatrics, University of Oxford, Oxford, OX1 2JD, UK.
Respiratory syncytial virus (RSV) causes a significant burden of acute respiratory illness across all ages, particularly for infants and older adults. Infants, especially those born prematurely or with underlying health conditions, face a high risk of severe RSV-related lower respiratory tract infections (LRTIs). Globally, RSV contributes to millions of LRTI cases annually, with a disproportionate burden in low- and middle-income countries (LMICs).
View Article and Find Full Text PDFMetagenomic next-generation sequencing on treatment strategies and prognosis of patients with lower respiratory tract infections: a systematic review and meta-analysis.
Int J Antimicrob Agents
January 2025
Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Capital Medical University, Beijing, China; National Center for Respiratory Medicine; State Key Laboratory of Respiratory Health and Multimorbidity; National Clinical Research Center for Respiratory Diseases; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, P.R. China; Tsinghua University School of Medicine, Beijing, China. Electronic address:
Objectives: Controversy exists regarding the benefits of metagenomic next-generation sequencing (mNGS) in lower respiratory tract infections (LRTIs). We assessed the impact of mNGS on the treatment and prognosis of LRTI patients through a systematic review and meta-analysis.
Methods: A literature search was conducted in PubMed, Embase and CENTRAL databases up to February 19, 2024.
Evaluation of the impact of COVID-19 pandemic on hospital admission related to common infections: Risk prediction models to tackle antimicrobial resistance in primary care.
PLoS One
December 2024
Centre for Health Informatics, Faculty of Biology, Medicine and Health, School of Health Sciences, the University of Manchester, Manchester, United Kingdom.
Background: Antimicrobial resistance (AMR) is a multifaceted global challenge, partly driven by inappropriate antibiotic prescribing. The objectives of this study were to evaluate the impact of the COVID-19 pandemic on treatment of common infections, develop risk prediction models and examine the effects of antibiotics on infection-related hospital admissions.
Methods: With the approval of NHS England, we accessed electronic health records from The Phoenix Partnership (TPP) through OpenSAFELY platform.
Impact of Respiratory Syncytial Virus and Severe Acute Respiratory Syndrome Coronavirus 2 Coinfection on Clinical Severity and Outcomes Among Children Hospitalized With Lower Respiratory Tract Infections in Soweto, South Africa.
Pediatr Infect Dis J
October 2024
From the Department of Paediatrics and Child Health, Faculty of Health Sciences, School of Clinical Medicine, University of the Witwatersrand, Johannesburg, South Africa.
Background: No data are available regarding the interplay and clinical manifestations of respiratory syncytial virus (RSV) and severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) coinfection in African children. We compared clinical characteristics and outcomes between RSV-only, SARS-CoV-2-only and RSV/SARS-CoV-2 coinfection lower respiratory tract infections (LRTI) in hospitalized African children.
Methods: Prospective surveillance of children (0-59 months) hospitalized with severe LRTI was undertaken between March 1, 2020, and March 31, 2023, in Johannesburg, South Africa.
Risk for exertional heat illness among US army enlistees: climate indexes, intrinsic factors and their interactions.
Br J Sports Med
December 2024
Department of Preventive Medicine and Biostatistics, F. Edward Hébert School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.
Objectives: To characterise intrinsic and extrinsic (climatic) risks for mild and severe exertional heat illness (EHI) among first-year army enlistees.
Methods: We examined 337 786 soldiers who enlisted between 2012 and 2019. Survival models were used to predict incident EHI from intrinsic factors (demographics, healthcare utilisation, chronic conditions, body mass index (BMI), Army Physical Fitness Test (APFT), upper/lower respiratory tract infections (URTI and LRTI), skin and soft-tissue infections (SSTI), extrinsic factors (geographical region, daily mean Universal Thermal Climate Index (UTCI), wet bulb globe temperature (WBGT)) and interactions.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!