IDEAS home Printed from https://ideas.repec.org/a/plo/pntd00/0004449.html
   My bibliography  Save this article

Metabolomics-Based Discovery of Small Molecule Biomarkers in Serum Associated with Dengue Virus Infections and Disease Outcomes

Author

Listed:
  • Natalia V Voge
  • Rushika Perera
  • Sebabrata Mahapatra
  • Lionel Gresh
  • Angel Balmaseda
  • María A Loroño-Pino
  • Amber S Hopf-Jannasch
  • John T Belisle
  • Eva Harris
  • Carol D Blair
  • Barry J Beaty

Abstract

Background: Epidemic dengue fever (DF) and dengue hemorrhagic fever/dengue shock syndrome (DHF/DSS) are overwhelming public health capacity for diagnosis and clinical care of dengue patients throughout the tropical and subtropical world. The ability to predict severe dengue disease outcomes (DHF/DSS) using acute phase clinical specimens would be of enormous value to physicians and health care workers for appropriate triaging of patients for clinical management. Advances in the field of metabolomics and analytic software provide new opportunities to identify host small molecule biomarkers (SMBs) in acute phase clinical specimens that differentiate dengue disease outcomes. Methodology/Principal Findings: Exploratory metabolomic studies were conducted to characterize the serum metabolome of patients who experienced different dengue disease outcomes. Serum samples from dengue patients from Nicaragua and Mexico were retrospectively obtained, and hydrophilic interaction liquid chromatography (HILIC)-mass spectrometry (MS) identified small molecule metabolites that were associated with and statistically differentiated DHF/DSS, DF, and non-dengue (ND) diagnosis groups. In the Nicaraguan samples, 191 metabolites differentiated DF from ND outcomes and 83 differentiated DHF/DSS and DF outcomes. In the Mexican samples, 306 metabolites differentiated DF from ND and 37 differentiated DHF/DSS and DF outcomes. The structural identities of 13 metabolites were confirmed using tandem mass spectrometry (MS/MS). Metabolomic analysis of serum samples from patients diagnosed as DF who progressed to DHF/DSS identified 65 metabolites that predicted dengue disease outcomes. Differential perturbation of the serum metabolome was demonstrated following infection with different DENV serotypes and following primary and secondary DENV infections. Conclusions/Significance: These results provide proof-of-concept that a metabolomics approach can be used to identify metabolites or SMBs in serum specimens that are associated with distinct DENV infections and disease outcomes. The differentiating metabolites also provide insights into metabolic pathways and pathogenic and immunologic mechanisms associated with dengue disease severity. Author Summary: Epidemics of dengue fever (DF) and dengue hemorrhagic fever/dengue shock syndrome (DHF/DSS) are overwhelming public health capacity for diagnosis and patient care. Developing a panel of biomarkers in acute-phase serum specimens for prognosis of severe dengue disease would be of enormous value for appropriate triaging of patients for management. Metabolomics offers great potential for identification of small molecule biomarkers (SMBs) for diagnosis and prognosis of dengue virus (DENV) infections. We identified metabolites that were associated with and differentiated DHF/DSS, DF and non-dengue (ND) febrile illness outcomes, primary and secondary virus infections, and infections with different DENV serotypes. These metabolites provide insights into metabolic pathways that play roles in DENV infection, replication, and pathogenesis. Some are associated with lipid metabolism and regulation of inflammatory processes controlled by signaling fatty acids and phospholipids, and others with endothelial cell homeostasis and vascular barrier function. Such metabolites and associated metabolic pathways are potentially biologically relevant in DENV pathogenesis. The diagnostic and prognostic efficacy of differentiating metabolites is currently being investigated. Our goal is to identify the most parsimonious SMB biosignature that, when combined with laboratory diagnostic results, eg., DENV NS1 or RNA detection, will provide the most efficient algorithm for dengue diagnosis and prognosis.

Suggested Citation

  • Natalia V Voge & Rushika Perera & Sebabrata Mahapatra & Lionel Gresh & Angel Balmaseda & María A Loroño-Pino & Amber S Hopf-Jannasch & John T Belisle & Eva Harris & Carol D Blair & Barry J Beaty, 2016. "Metabolomics-Based Discovery of Small Molecule Biomarkers in Serum Associated with Dengue Virus Infections and Disease Outcomes," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 10(2), pages 1-27, February.
  • Handle: RePEc:plo:pntd00:0004449
    DOI: 10.1371/journal.pntd.0004449
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosntds/article?id=10.1371/journal.pntd.0004449
    Download Restriction: no

    File URL: https://journals.plos.org/plosntds/article/file?id=10.1371/journal.pntd.0004449&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pntd.0004449?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Hope H Biswas & Oscar Ortega & Aubree Gordon & Katherine Standish & Angel Balmaseda & Guillermina Kuan & Eva Harris, 2012. "Early Clinical Features of Dengue Virus Infection in Nicaraguan Children: A Longitudinal Analysis," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 6(3), pages 1-9, March.
    2. Reem Al-Mubarak & Jason Vander Heiden & Corey D Broeckling & Marivic Balagon & Patrick J Brennan & Varalakshmi D Vissa, 2011. "Serum Metabolomics Reveals Higher Levels of Polyunsaturated Fatty Acids in Lepromatous Leprosy: Potential Markers for Susceptibility and Pathogenesis," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 5(9), pages 1-10, September.
    3. Federico Narvaez & Gamaliel Gutierrez & Maria Angeles Pérez & Douglas Elizondo & Andrea Nuñez & Angel Balmaseda & Eva Harris, 2011. "Evaluation of the Traditional and Revised WHO Classifications of Dengue Disease Severity," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 5(11), pages 1-8, November.
    4. P'ng Loke & Samantha N Hammond & Jacqueline M Leung & Charles C Kim & Sajeev Batra & Crisanta Rocha & Angel Balmaseda & Eva Harris, 2010. "Gene Expression Patterns of Dengue Virus-Infected Children from Nicaragua Reveal a Distinct Signature of Increased Metabolism," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 4(6), pages 1-12, June.
    5. Nguyen Tien Huy & Tran Van Giang & Dinh Ha Duy Thuy & Mihoko Kikuchi & Tran Tinh Hien & Javier Zamora & Kenji Hirayama, 2013. "Factors Associated with Dengue Shock Syndrome: A Systematic Review and Meta-Analysis," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 7(9), pages 1-15, September.
    6. Phung Khanh Lam & Dong Thi Hoai Tam & Nguyen Minh Dung & Nguyen Thi Hanh Tien & Nguyen Tan Thanh Kieu & Cameron Simmons & Jeremy Farrar & Bridget Wills & Marcel Wolbers, 2015. "A Prognostic Model for Development of Profound Shock among Children Presenting with Dengue Shock Syndrome," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-13, May.
    7. Gamaliel Gutiérrez & Lionel Gresh & María Ángeles Pérez & Douglas Elizondo & William Avilés & Guillermina Kuan & Ángel Balmaseda & Eva Harris, 2013. "Evaluation of the Diagnostic Utility of the Traditional and Revised WHO Dengue Case Definitions," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 7(8), pages 1-9, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tran Quang Thach & Heba Gamal Eisa & AlMotsim Ben Hmeda & Hazem Faraj & Tieu Minh Thuan & Manal Mahmoud Abdelrahman & Mario Gerges Awadallah & Ha Xuan Nam & Michael Noeske & Jeza Muhamad Abdul Aziz & , 2021. "Predictive markers for the early prognosis of dengue severity: A systematic review and meta-analysis," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 15(10), pages 1-25, October.
    2. Phung Khanh Lam & Tran Van Ngoc & Truong Thi Thu Thuy & Nguyen Thi Hong Van & Tran Thi Nhu Thuy & Dong Thi Hoai Tam & Nguyen Minh Dung & Nguyen Thi Hanh Tien & Nguyen Tan Thanh Kieu & Cameron Simmons , 2017. "The value of daily platelet counts for predicting dengue shock syndrome: Results from a prospective observational study of 2301 Vietnamese children with dengue," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 11(4), pages 1-20, April.
    3. Sangshin Park & Anon Srikiatkhachorn & Siripen Kalayanarooj & Louis Macareo & Sharone Green & Jennifer F Friedman & Alan L Rothman, 2018. "Use of structural equation models to predict dengue illness phenotype," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 12(10), pages 1-14, October.
    4. Joshua G X Wong & Tun Linn Thein & Yee-Sin Leo & Junxiong Pang & David C Lye, 2016. "Identifying Adult Dengue Patients at Low Risk for Clinically Significant Bleeding," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-12, February.
    5. Vipa Thanachartwet & Varunee Desakorn & Duangjai Sahassananda & Akanitt Jittmittraphap & Nittha Oer-areemitr & Sathaporn Osothsomboon & Manoon Surabotsophon & Anan Wattanathum, 2016. "Serum Procalcitonin and Peripheral Venous Lactate for Predicting Dengue Shock and/or Organ Failure: A Prospective Observational Study," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 10(8), pages 1-19, August.
    6. Rotem Ben-Shachar & Scott Schmidler & Katia Koelle, 2016. "Drivers of Inter-individual Variation in Dengue Viral Load Dynamics," PLOS Computational Biology, Public Library of Science, vol. 12(11), pages 1-26, November.
    7. Kangzhuang Yuan & Yuan Chen & Meifeng Zhong & Yongping Lin & Lidong Liu, 2022. "Risk and predictive factors for severe dengue infection: A systematic review and meta-analysis," PLOS ONE, Public Library of Science, vol. 17(4), pages 1-18, April.
    8. Su May Liew & Ee Ming Khoo & Bee Kiau Ho & Yew Kong Lee & Mimi Omar & Vickneswari Ayadurai & Fazlina Mohamed Yusoff & Zailiza Suli & Rose Nani Mudin & Pik Pin Goh & Karuthan Chinna, 2016. "Dengue in Malaysia: Factors Associated with Dengue Mortality from a National Registry," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-14, June.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pntd00:0004449. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosntds (email available below). General contact details of provider: https://journals.plos.org/plosntds/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.