
Xinying Hong, Ph.D.
Assistant Professor of Pathology and Laboratory Medicine at the Children's Hospital of PhiladelphiaPerelman School of Medicine at the University of Pennsylvania
Contact InformationChildrens Hospital of Philadelphia
3401 Civic Center Blvd
Philadelphia, PA, 19104
Education
B.S. (Chemistry), Peking University, 2015
Ph.D. (Chemistry), University of Washington, 2020
Specialty Certification
American Board of Medical Genetics and Genomics (Clinical Biochemical Genetics), 2023
Postgraduate Training
Clinical Biochemical Genetics, Fellowship, Department of Pathology and Laboratory Medicine
The Children's Hospital of Philadelphia, 2020-2022
Awards and Honors
Kwang-Hua Education Scholarship/Peaking University, 2014
Graduate Student Conference Travel Awards/University of Washington, 2017
Education Grant/Mass Spectrometry and Advances in the Clinical Lab, 2018
Graduate Student Merit Fellowship/University of Washington, 2019
Education Grant/Mass Spectrometry and Advances in the Clinical Lab, 2019
Gail Slap Fellowship Award/The Children's Hospital of Philadelphia, 2021
MSACL Young Investigator Educational Grant, 2025
Memberships and Professional Organizations
Society for Inherited Metabolic Disorders, 2020 - Present
Web Links
Selected Publications
Newborn screening for metachromatic leukodystrophy: Preparation of reagents and methodology for measurement of Sulfatides and arylsulfatase a enzymatic activity in dried blood spots
Austin Shaff, Khaja Basheeruddin, Soumeya Bekri, Heather A. Brown, Heather J. Church, Justin Gianares, Xinying Hong, Simon A. Jones, Tate Kappell, Francyne Kubaski, Petra Oliva, Joseph Orsini, Abdellah Tebani, Teresa H.Y. Wu, Gojko Lalic, Michael H. Gelb, Mol Genet Metab, 2025
Hematopoietic stem cell gene therapy improves outcomes in a clinically relevant mouse model of Multiple Sulfatase Deficiency.
Pham V, Tricoli L, Hong X, Wongkittichote P, Castracani CC, Guerra A, Schlotawa L, Adang LA, Kuhs A, Cassidy MM, Kane O, Tsai E, Presa M, Lutz C, Rivella SB, Ahrens-Nicklas RC., Mol Ther. 32(11): 3829-3846, 2024
UPLC-MS/MS Analysis of Urinary Oligosaccharides and Glycoamino Acids for the Diagnosis of Mucopolysaccharidosis and Glycoproteinosis
Wongkittichote P, Cho S, Miller A, King K, Herbst ZM, Ren Z, Gelb MH, Hong X., Clin Chem 70(6): 865-877, 2024
Higher precision, first tier newborn screening for metachromatic leukodystrophy using 16:1-OH-sulfatide
Bekri S, Bley A, Brown HA, Chanson C, Church HJ, Gelb MH, Hong X, Janzen N, Kasper DC, Mechtler T, Morton G, Murko S, Oliva P, Tebani A, Wu T., Mol Genet Metab 142(1): 108436, 2024
A novel iPSC model reveals selective vulnerability of neurons in multiple sulfatase deficiency
Pham V, Sertori Finoti L, Cassidy MM, Maguire JA, Gagne AL, Waxman EA, French DL, King K, Zhou Z, Gelb MH, Wongkittichote P, Hong X, Schlotawa L, Davidson BL, Ahrens-Nicklas RC., Mol Genet Metab 141(2): 108116, 2024, PMID:38161139
Clinical, biochemical and molecular characterization of a new case with FDX2-related mitochondrial disorder: Potential biomarkers and treatment options
Wongkittichote P, Pantano C, He M, Hong X, Demczko MM., JIMD Rep 65(2): 102-109, 2024, PMID:38444577
Newborn screening for the full set of mucopolysaccharidoses in dried blood spots based on first-tier enzymatic assay followed by second-tier analysis of glycosaminoglycans
Herbst ZM, Hong X, Sadilek M, Fuller M, Gelb MH., Mol Genet Metab 140(3): , 2023, PMID:37820575
Endogenous, non-reducing end glycosaminoglycan biomarkers are superior to internal disaccharide glycosaminoglycan biomarkers for newborn screening of mucopolysaccharidoses and GM1 gangliosidosis
Herbst ZM, Hong X, Urdaneta L, Klein T, Waggoner C, Liao HC, Kubaski F, Giugliani R, Fuller M, Gelb MH., Mol Genet Metab 140(1-2): , 2023, PMID:37407323
Pilot study of newborn screening for six lysosomal diseases in Brazil
Kubaski F, Sousa I, Amorim T, Pereira D, Silva C, Chaves V, Brusius-Facchin AC, Netto ABO, Soares J, Vairo F, Poletto E, Trometer J, Souza A, Ranieri E, Polo G, Hong X, Herbst ZM, Burlina A, Gelb MH, Giugliani R., Mol Genet Metab 140(1-2): 107654, 2023, PMID:37507255
Predicting disease severity in metachromatic leukodystrophy using protein activity and a patient phenotype matrix
Trinidad M, Hong X, Froelich S, Daiker J, Sacco J, Nguyen HP, Campagna M, Suhr D, Suhr T, LeBowitz JH, Gelb MH, Clark WT., Genome Biol 24(1): 172, 2023, PMID:37480112