Serum Phenylalanine, Myo-inositol, and 1,5-Anhydrohexitol biosignature differentiate neonatal sepsis cases from controls
Ahmed, R.; Sarangi, A.; Debata, P.; Gaind, R.; Kaushal, G.; Gur, R.; Shrivastava, S.; Nirmal, K.; Kaur, R.; Nangia, S.; Kumar, V.; Sankar, M. J.; NANDA, R. K.
Show abstract
A more accurate diagnostic biosignature is crucial for neonatal sepsis. In this report, we identified a serum metabolite signature for diagnosing neonatal sepsis cases using mass spectrometry-based profiling of serum samples from two discovery cohorts (set-I/-II: n=71/269) of sepsis patients (culture positive/negative: CP/CN) and controls (no-sepsis: NS or healthy controls: HC). This signature was validated in both cross-sectional (n=60) and follow-up cohorts (n=100). The six-metabolite signature, which includes 1,5-anhydro-D-sorbitol, lactic acid, malic acid, myo-inositol, phenylalanine, and lysine, can distinguish CP and CN sepsis cases from HC. The deregulated serum metabolites returned to HC levels in neonates after completing antibiotic treatment. Additionally, a metabolic signature of PE (20:4(5Z,8Z,11Z,14Z)/0:0, 12-amino-dodecanoic acid, and 1,5-anhydro-D-sorbitol) identified from a validation set-II (n=100) using LC-MS could differentiate CP and CN groups from NS groups. Translating this serum metabolite signature into a simple, deployable blood test for neonatal sepsis could enable faster and more accurate decision-making.
Matching journals
The top 13 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Tryptophan and arginine metabolism is significantly altered at the time of admission in hospital for severe COVID-19 patients: findings from longitudinal targeted metabolomics analysis 95%
- A distinct metabolic profile associated with a fatal outcome in COVID-19 patients during early epidemic in Italy 94%
- Enterotoxigenic Escherichia coli display a distinct growth phase before entry into stationary phase with shifts in tryptophan- fucose- and putrescine metabolism and degradation of neurotransmitter precursors 93%
Similar papers in this journal
- Next generation plasma proteome profiling of COVID-19 patients with mild to moderate symptoms 92%
- Precision Diagnostic Approach to Predict 5-year Risk for Microvascular Complications in Type 1 Diabetes 92%
- Daily variation in blood glucose levels during continuous enteral nutrition in patients on the Intensive Care Unit: a retrospective observational study 92%
Similar papers in this journal
- Tissue-wide metabolomics reveals wide impact of gut microbiota on mice metabolite composition 96%
- Small-molecule metabolome identifies potential therapeutic targets against COVID-19 95%
- In-depth blood proteome profiling analysis revealed distinct functional characteristics of plasma proteins between severe and non-severe COVID-19 patients 94%
Similar papers in this journal
- Untargeted metabolomics of COVID-19 patient serum reveals potential prognostic markers of both severity and outcome 94%
- Meta-analysis of targeted metabolomics data from heterogeneous biological samples provides insights into metabolite dynamics 92%
- A novel method to detect intracellular metabolite alterations in MCF-7 cells by doxorubicin induced cell death 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.