Lasky-Su Jessica

Hanyuda Akiko, Zeleznik Oana A, Raita Yoshihiko, Negishi Kazuno, Pasquale Louis R, Lasky-Su Jessica et al.

Machine learning on prediagnostic metabolites identified three distinct exfoliation glaucoma endotypes with varying risk factors and metabolic profiles, suggesting different underlying disease mechanisms.

Pasquale Louis R, Khawaja Anthony P, Wiggs Janey L, Kim Jihye, Hysi Pirro, Elze Tobias et al.

This study linked specific metabolites to eye health: branched-chain amino acids with lower IOP, HDL metabolites with thinner RNFL, and LDL metabolites with thicker GCIPL, identifying potential biomarkers for glaucoma risk.

Kang Jae H, Zeleznik Oana, Frueh Lisa, Lasky-Su Jessica, Eliassen A Heather, Clish Clary et al.

This study found specific plasma metabolites, including lysophosphatidylcholines, plasmalogens, triacylglycerols, and steroids, were associated with exfoliation glaucoma risk over a decade before diagnosis, suggesting potential early biomarkers.