MALDI-TOF MS Identifies Oomycete Causing Pythiosis
|
By LabMedica International staff writers Posted on 12 Dec 2018 |

Image: The UltrafleXtreme MALDI-TOF/TOF mass spectrometer (Photo courtesy of Bruker Daltonics).
Pythiosis is an invasive, difficult-to-treat, life-threatening infectious disease caused by Pythium insidiosum, a member of the unique group of fungus-like microorganisms called oomycetes. The disease has been increasingly reported worldwide.
In the past decade, the matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS) has emerged as a novel and powerful diagnostic tool for facilitating the clinical identification of many pathogenic microorganisms, including bacteria and fungi.
Scientists at the Mahidol University (Bangkok, Thailand) isolated a total of 13 strains of P. insidiosum, isolated from eight humans and five animals with pythiosis, from different geographic locations. All organisms were maintained on Sabouraud dextrose agar at 25 °C. Several small portions of a colony of each organism were transferred to a 50-mL flask containing 10 mL Sabouraud dextrose broth, and incubated at 37 °C for one week, before harvesting fungal material for protein extraction.
Protein was extracted from harvested organisms and was spotted onto a clean ground steel target plate in 40 replicates (for generating a MALDI-TOF MS database of P. insidiosum) or five replicates (for assessing the MALDI-TOF MS for identification of P. insidiosum), air dried at room temperature before being processed. After the matrix solution was air dried at room temperature, the sample was promptly analyzed, using a Bruker ultrafleXtreme mass spectrometer. Genomic DNA (gDNA) templates were extracted from the organisms and subjected to single nucleotide polymorphism-based multiplex polymerase chain reaction (PCR).
The team reported that the MALDI-TOF MS accurately identified all 13 P. insidiosum strains tested, at the species level. Mass spectra of P. insidiosum did not match any other microorganisms, including fungi (i.e., Aspergillus species, Fusarium species, and fungal species of the class Zygomycetes), which have similar microscopic morphologies with this oomycete. MALDI-TOF MS- and rDNA sequence-based biotyping methods consistently classified P. insidiosum into three groups: Clade-I (American strains), II (Asian and Australian strains), and III (mostly Thai strains).
The authors concluded that MALDI-TOF MS has been successfully used for identification and biotyping of P. insidiosum. The obtained mass spectral database allows clinical microbiology laboratories, well equipped with a MALDI-TOF mass spectrometer, to conveniently identify P. insidiosum, without requiring any pathogen-specific reagents (i.e., antigen, antibody or primers). The study was published in the December 2018 issue of the International Journal of Infectious Diseases.
Related Links:
Mahidol University
In the past decade, the matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS) has emerged as a novel and powerful diagnostic tool for facilitating the clinical identification of many pathogenic microorganisms, including bacteria and fungi.
Scientists at the Mahidol University (Bangkok, Thailand) isolated a total of 13 strains of P. insidiosum, isolated from eight humans and five animals with pythiosis, from different geographic locations. All organisms were maintained on Sabouraud dextrose agar at 25 °C. Several small portions of a colony of each organism were transferred to a 50-mL flask containing 10 mL Sabouraud dextrose broth, and incubated at 37 °C for one week, before harvesting fungal material for protein extraction.
Protein was extracted from harvested organisms and was spotted onto a clean ground steel target plate in 40 replicates (for generating a MALDI-TOF MS database of P. insidiosum) or five replicates (for assessing the MALDI-TOF MS for identification of P. insidiosum), air dried at room temperature before being processed. After the matrix solution was air dried at room temperature, the sample was promptly analyzed, using a Bruker ultrafleXtreme mass spectrometer. Genomic DNA (gDNA) templates were extracted from the organisms and subjected to single nucleotide polymorphism-based multiplex polymerase chain reaction (PCR).
The team reported that the MALDI-TOF MS accurately identified all 13 P. insidiosum strains tested, at the species level. Mass spectra of P. insidiosum did not match any other microorganisms, including fungi (i.e., Aspergillus species, Fusarium species, and fungal species of the class Zygomycetes), which have similar microscopic morphologies with this oomycete. MALDI-TOF MS- and rDNA sequence-based biotyping methods consistently classified P. insidiosum into three groups: Clade-I (American strains), II (Asian and Australian strains), and III (mostly Thai strains).
The authors concluded that MALDI-TOF MS has been successfully used for identification and biotyping of P. insidiosum. The obtained mass spectral database allows clinical microbiology laboratories, well equipped with a MALDI-TOF mass spectrometer, to conveniently identify P. insidiosum, without requiring any pathogen-specific reagents (i.e., antigen, antibody or primers). The study was published in the December 2018 issue of the International Journal of Infectious Diseases.
Related Links:
Mahidol University
Latest Molecular Diagnostics News
- Blood Biomarker Predicts Cognitive Outcomes After Cardiac Arrest
- Liquid Biopsy Enables Faster Diagnosis of Childhood Cancer in Africa
- Blood Test Helps Guide Treatment in Older Women with Breast Cancer
- Rapid Host-Response Test Distinguishes Bacterial and Viral Infections in Minutes
- Liquid Biopsy Method Pinpoints Disease Source From a Single Drop of Blood
- Study Reveals Widespread Errors in Gene Variant Naming
- New Blood Test Aims to Transform Liver Cancer Surveillance
- New Biomarkers Indicate Higher Liver Cancer Risk in Chronic Hepatitis B Patients
- Precision Analyzer Reveals ‘Chameleon Proteins’ Causing Intractable Diseases
- Alzheimer's Blood Marker Could Improve Detection of Heart and Kidney Diseases
- Single Blood Test Predicts Heart Diseases 15 Years Before Onset
- Blood Immune 'Fingerprint' Predicts Side Effects of New Alzheimer's Drug
- Clinical Diagnostic Test Detects Additional Genetic Variants in Acute Leukemia Patients
- Blood Test Predicts Dementia in Women 25 Years Before Symptoms Begin
- DNA Aptamers Offer New Tool for Easy Alzheimer's Blood Test
- Serial Liquid Biopsies Reveal Therapy Resistance in Metastatic Prostate Cancer
Channels
Clinical Chemistry
view channel
Simple Urine Home Test Kit Could Detect Early-Stage Breast Cancer
Breast cancer is the most commonly diagnosed cancer among women globally and remains a leading cause of cancer-related deaths in more than 100 countries. Current diagnostic pathways rely on mammography,... Read more
New Tool Tracks Biomarker Changes to Predict Myeloma Progression
Smoldering multiple myeloma (SMM) precedes multiple myeloma and poses a monitoring challenge because progression risk varies widely among patients. Static, one-time laboratory assessments can miss clinically... Read moreMolecular Diagnostics
view channel
Blood Biomarker Predicts Cognitive Outcomes After Cardiac Arrest
Long-term cognitive impairment is a frequent consequence of out-of-hospital cardiac arrest yet early prediction remains difficult. Clinicians commonly use blood-based markers to estimate brain injury risk... Read more
Liquid Biopsy Enables Faster Diagnosis of Childhood Cancer in Africa
Burkitt lymphoma is the most common childhood cancer in Africa and progresses rapidly, making fast, accurate diagnosis essential to survival. Although survival can exceed 90% when therapy starts quickly,... Read moreHematology
view channel
Rapid Cartridge-Based Test Aims to Expand Access to Hemoglobin Disorder Diagnosis
Sickle cell disease and beta thalassemia are hemoglobin disorders that often require referral to specialized laboratories for definitive diagnosis, delaying results for patients and clinicians.... Read more
New Guidelines Aim to Improve AL Amyloidosis Diagnosis
Light chain (AL) amyloidosis is a rare, life-threatening bone marrow disorder in which abnormal amyloid proteins accumulate in organs. Approximately 3,260 people in the United States are diagnosed... Read moreImmunology
view channel
Microfluidic Chip Detects Cancer Recurrence from Immune Response Signals
Early identification of treatment response and relapse remains a major challenge in solid tumors, where minimal residual disease is difficult to detect with routine imaging and blood tests.... Read more
Cancer Mutation ‘Fingerprints’ to Improve Prediction of Immunotherapy Response
Cancer cells accumulate thousands of genetic mutations, but not all mutations affect tumors in the same way. Some make cancer cells more visible to the immune system, while others allow tumors to evade... Read morePathology
view channel
AI-Powered Tool to Transform Dermatopathology Workflow
Skin cancer accounts for the largest number of cancer diagnoses in the United States, placing sustained pressure on pathology services. Diagnostic interpretation can be variable for challenging melanocytic... Read more
New Chromogenic Culture Media Enable Rapid Detection of Candida Infections
Invasive Candida infections are challenging for healthcare systems, with some strains spreading rapidly in hospitals and showing resistance to multiple antifungal drugs. Candida auris is associated with... Read moreTechnology
view channel
Portable Breath Sensor Detects Pneumonia Biomarkers in Minutes
Pneumonia is commonly confirmed with chest X-rays or laboratory assays that can take hours, delaying clinical decisions in acute and outpatient settings. Breath-based diagnostics promise faster answers... Read more
New Electronic Pipette Enhances Workflows with Touchscreen Control
Manual pipetting remains a routine yet error-prone step that can affect reproducibility and throughput in clinical and research laboratories. Training demands and ergonomic strain also add variability... Read more
AI Model Outperforms Clinicians in Rare Disease Detection
Rare diseases affect an estimated 300 million people worldwide, yet diagnosis is often protracted and error-prone. Many conditions present with heterogeneous signs that overlap with common disorders, leading... Read more
AI-Driven Diagnostic Demonstrates High Accuracy in Detecting Periprosthetic Joint Infection
Periprosthetic joint infection (PJI) is a rare but serious complication affecting 1% to 2% of primary joint replacement surgeries. The condition occurs when bacteria or fungi infect tissues around an implanted... Read moreIndustry
view channel
Co-Diagnostics Agreement Expands Commercial and Distribution Reach in South Asia
Co-Diagnostics (Co-Dx; Salt Lake City, UT, USA) has signed an agreement for CoSara Diagnostics Pvt. Ltd., its Indian joint venture with Ambalal Sarabhai Enterprises Limited (Ahmedabad, India), to extend... Read more








