Xuefeng B Ling

Summary

Affiliation: Stanford University
Country: USA

Publications

  1. pmc A diagnostic algorithm combining clinical and molecular data distinguishes Kawasaki disease from other febrile illnesses
    Xuefeng B Ling
    Department of Pediatrics, Stanford University, Stanford, CA 94305, USA
    BMC Med 9:130. 2011
  2. pmc Correlation analyses of clinical and molecular findings identify candidate biological pathways in systemic juvenile idiopathic arthritis
    Xuefeng B Ling
    Program in Immunology, Department of Pediatrics, Stanford University, Stanford, CA 94305, USA
    BMC Med 10:125. 2012
  3. doi request reprint Integrating multiple 'omics' analyses identifies serological protein biomarkers for preeclampsia
    Linda Y Liu
    Department of Pediatrics, Stanford University, 1265 Welch Road, Room X 163 MS 5415, Stanford, CA 94305, USA
    BMC Med 11:236. 2013
  4. pmc Cloud-based solution to identify statistically significant MS peaks differentiating sample categories
    Jun Ji
    Departments of Surgery, Stanford University, Stanford, CA 94305, USA
    BMC Res Notes 6:109. 2013
  5. doi request reprint Point-of-care differentiation of Kawasaki disease from other febrile illnesses
    Xuefeng B Ling
    Department of Surgery, Stanford University, Stanford, CA 94305 5178, USA
    J Pediatr 162:183-188.e3. 2013
  6. ncbi request reprint A novel urine peptide biomarker-based algorithm for the prognosis of necrotising enterocolitis in human infants
    Karl G Sylvester
    Division of Pediatric Surgery, Lucile Packard Children s Hospital, Stanford, USA Department of Surgery, Stanford University School of Medicine, Stanford, USA
    Gut 63:1284-92. 2014
  7. pmc Plasma profiles in active systemic juvenile idiopathic arthritis: Biomarkers and biological implications
    Xuefeng B Ling
    Department of Pediatrics, Stanford University, Stanford, CA 94305 5164, USA
    Proteomics 10:4415-30. 2010
  8. ncbi request reprint Urine peptidomics for clinical biomarker discovery
    Xuefeng B Ling
    Department of Pediatrics, Stanford University, Stanford, California, USA
    Adv Clin Chem 51:181-213. 2010
  9. pmc A data-driven algorithm integrating clinical and laboratory features for the diagnosis and prognosis of necrotizing enterocolitis
    Jun Ji
    State Key Laboratory of Industrial Control Technology, Institute of Industrial Process Control, Zhejiang University, Hangzhou, Zhejiang, China Department of Surgery, Stanford University, Stanford, California, United States of America
    PLoS ONE 9:e89860. 2014
  10. pmc AKI in hospitalized children: epidemiology and clinical associations in a national cohort
    Scott M Sutherland
    Departments of Pediatrics, Surgery, and, Health Research and Policy, Stanford University, Stanford, California, HBI Solutions Inc, Palo Alto, California
    Clin J Am Soc Nephrol 8:1661-9. 2013

Collaborators

Detail Information

Publications12

  1. pmc A diagnostic algorithm combining clinical and molecular data distinguishes Kawasaki disease from other febrile illnesses
    Xuefeng B Ling
    Department of Pediatrics, Stanford University, Stanford, CA 94305, USA
    BMC Med 9:130. 2011
    ..We sought to develop a diagnostic algorithm to help clinicians distinguish Kawasaki disease patients from febrile controls to allow timely initiation of treatment...
  2. pmc Correlation analyses of clinical and molecular findings identify candidate biological pathways in systemic juvenile idiopathic arthritis
    Xuefeng B Ling
    Program in Immunology, Department of Pediatrics, Stanford University, Stanford, CA 94305, USA
    BMC Med 10:125. 2012
    ....
  3. doi request reprint Integrating multiple 'omics' analyses identifies serological protein biomarkers for preeclampsia
    Linda Y Liu
    Department of Pediatrics, Stanford University, 1265 Welch Road, Room X 163 MS 5415, Stanford, CA 94305, USA
    BMC Med 11:236. 2013
    ..Preeclampsia (PE) is a pregnancy-related vascular disorder which is the leading cause of maternal morbidity and mortality. We sought to identify novel serological protein markers to diagnose PE with a multi-'omics' based discovery approach...
  4. pmc Cloud-based solution to identify statistically significant MS peaks differentiating sample categories
    Jun Ji
    Departments of Surgery, Stanford University, Stanford, CA 94305, USA
    BMC Res Notes 6:109. 2013
    ..Turnkey" solutions are needed for biomarker investigations to rapidly process MS data sets to identify statistically significant peaks for subsequent validation...
  5. doi request reprint Point-of-care differentiation of Kawasaki disease from other febrile illnesses
    Xuefeng B Ling
    Department of Surgery, Stanford University, Stanford, CA 94305 5178, USA
    J Pediatr 162:183-188.e3. 2013
    ..To test whether statistical learning on clinical and laboratory test patterns would lead to an algorithm for Kawasaki disease (KD) diagnosis that could aid clinicians...
  6. ncbi request reprint A novel urine peptide biomarker-based algorithm for the prognosis of necrotising enterocolitis in human infants
    Karl G Sylvester
    Division of Pediatric Surgery, Lucile Packard Children s Hospital, Stanford, USA Department of Surgery, Stanford University School of Medicine, Stanford, USA
    Gut 63:1284-92. 2014
    ..We hypothesised that integrated analysis of clinical parameters in combination with urine peptide biomarkers would lead to improved prognostic accuracy in the NEC population...
  7. pmc Plasma profiles in active systemic juvenile idiopathic arthritis: Biomarkers and biological implications
    Xuefeng B Ling
    Department of Pediatrics, Stanford University, Stanford, CA 94305 5164, USA
    Proteomics 10:4415-30. 2010
    ..Pathway analyses of the 15 proteins in the SJIA flare versus quiescence signature corroborate growing evidence for a key role for IL-1 at disease flare...
  8. ncbi request reprint Urine peptidomics for clinical biomarker discovery
    Xuefeng B Ling
    Department of Pediatrics, Stanford University, Stanford, California, USA
    Adv Clin Chem 51:181-213. 2010
    ..This study summarizes, focusing on our experiences and perspectives, the progress in addressing these challenges to enable high-throughput urine peptidomics-based biomarker discovery...
  9. pmc A data-driven algorithm integrating clinical and laboratory features for the diagnosis and prognosis of necrotizing enterocolitis
    Jun Ji
    State Key Laboratory of Industrial Control Technology, Institute of Industrial Process Control, Zhejiang University, Hangzhou, Zhejiang, China Department of Surgery, Stanford University, Stanford, California, United States of America
    PLoS ONE 9:e89860. 2014
    ..The objective in this study was to develop and validate new NEC scoring systems for automated staging and prognostic forecasting...
  10. pmc AKI in hospitalized children: epidemiology and clinical associations in a national cohort
    Scott M Sutherland
    Departments of Pediatrics, Surgery, and, Health Research and Policy, Stanford University, Stanford, California, HBI Solutions Inc, Palo Alto, California
    Clin J Am Soc Nephrol 8:1661-9. 2013
    ..This study characterizes pediatric AKI across the United States and identifies AKI risk factors using high-content/high-throughput analytic techniques...
  11. pmc Integrative urinary peptidomics in renal transplantation identifies biomarkers for acute rejection
    Xuefeng B Ling
    Divisions of Biotechnology Core, Department of Pediatrics, Stanford University School of Medicine, Stanford University, Stanford, California, USA
    J Am Soc Nephrol 21:646-53. 2010
    ..98). These data suggest that changes in collagen remodeling characterize AR and that detection of the corresponding proteolytic degradation products in urine provides a noninvasive diagnostic approach...