The genetic variant SLC2A1-rs1105297 is associated with the differential analgesic response to a glucose-based treatment in newborns
Riccardo Farinella, Fabio Falchi, Arianna Tavanti, Cristina Tuoni, Maria Grazia Di Nino, Luca Filippi, Massimiliano Ciantelli, Cosmeri Rizzato, Daniele Campa

TL;DR
A genetic variant in the SLC2A1 gene is linked to how well newborns respond to glucose-based pain relief, suggesting personalized treatment could improve outcomes.
Contribution
Identifies a specific SLC2A1 genetic variant associated with differential analgesic response to glucose in newborns.
Findings
The G allele of SLC2A1-rs1105297 is linked to a fourfold decreased probability of responding to 33% glucose analgesia.
The variant decreases SLC2A1-AS1 expression, upregulating SLC2A1 in the dorsal striatum, which may affect opioid receptor binding.
Host genetics, particularly SLC2A1 variability, play a significant role in neonatal analgesic efficacy.
Abstract
Supplemental Digital Content is Available in the Text. The genetic variability of SLC2A1 gene affects the neonatal response to a 33% glucose-based analgesic treatment, highlighting the importance of host genetics for personalized analgesia. Neonatal pain is a critical issue in clinical practice. The oral administration of glucose-based solutions is currently one of the most common and effective nonpharmacologic strategies for neonatal pain relief in daily minor procedures. However, a varying degree of analgesic efficacy has been reported for this treatment. Environmental, maternal, and genetic factors may explain this variability and potentially allow for a personalized analgesic approach, maximizing therapeutic efficacy and preventing side effects. We investigated the exposome (ie, the set of clinical and anthropometric variables potentially affecting the response to the therapy) and…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsDiet and metabolism studies · Metabolism and Genetic Disorders · Diabetes and associated disorders
