Bacterial Vaginosis Assessed By Molecular Methods
|
By LabMedica International staff writers Posted on 11 May 2016 |
Bacterial vaginosis (BV) is an aberrant state of the vaginal microbiota, which is characterized by a depletion of lactobacilli, an increased diversity of the bacterial population and an elevated pH. It is one the most common vaginal syndromes in fertile, premenopausal and pregnant women.
Women are most often diagnosed with bacterial vaginosis (BV) using microscopy based on Nugent scoring or Amsel criteria; however, the accuracy is less than optimal. To confirm the identity of known BV-associated composition profiles and evaluate indicators for BV, three molecular methods have been assessed.
Microbiologists at the Vrije Universiteit (Amsterdam, The Netherlands) and their colleagues studied the vaginal microbiota of 40 subjects, of which 20 BV-negative and 20 BV-positive, by selection of low (0–3) and high (7–10) Nugent scores, respectively. A standard cervical examination was performed and a cotton swab was used to remove abundant mucus prior to the collection of a sample for Chlamydia trachomatis and Neisseria gonorrhoeae screening. The diagnosis of BV was based on the Nugent Gram stain and the presence of three Amsel criteria characteristic vaginal discharge, clue cells, and positive amine test.
DNA was isolated and sequence analysis was performed on a 454 GS-FLX-Titanium Sequencer (454 Life Sciences, Branford, CT, USA). Evaluation of indicators for BV was carried out by 16S ribosomal ribonucleic acid (rRNA) amplicon sequencing of the V5-V7 region, a tailor-made 16S rRNA oligonucleotide-based microarray, and a polymerase chain reaction (PCR)-based profiling technique termed IS-profiling, which is based on fragment variability of the 16S-23S rRNA intergenic spacer region. The amplification of the IS-regions was performed with the IS-pro assay (IS-Diagnostics, Amsterdam, the Netherlands).
Analysis of the bacterial communities by 16S rRNA amplicon sequencing revealed two clusters in the BV negative women, dominated by either Lactobacillus iners or L. crispatus and three distinct clusters in the BV positive women. In the former, there was a virtually complete, negative correlation between L. crispatus and L. iners. BV positive subjects showed cluster profiles that were relatively high in bacterial species diversity and dominated by anaerobic species, including Gardnerella vaginalis, and those belonging to the Families of Lachnospiraceae and Leptotrichiaceae. Accordingly, the Gini-Simpson index of species diversity, and the relative abundance Lactobacillus species appeared consistent indicators for BV.
The authors concluded that an affordable and simple molecular test showing a depletion of the genus Lactobacillus in combination with an increased species diversity of vaginal microbiota could serve as an alternative and practical diagnostic method for the assessment of BV. The study was published on April 23, 2016, in the joournal BMC Infectious Diseases.
Related Links:
Vrije Universiteit
454 Life Sciences
IS-Diagnostics
Women are most often diagnosed with bacterial vaginosis (BV) using microscopy based on Nugent scoring or Amsel criteria; however, the accuracy is less than optimal. To confirm the identity of known BV-associated composition profiles and evaluate indicators for BV, three molecular methods have been assessed.
Microbiologists at the Vrije Universiteit (Amsterdam, The Netherlands) and their colleagues studied the vaginal microbiota of 40 subjects, of which 20 BV-negative and 20 BV-positive, by selection of low (0–3) and high (7–10) Nugent scores, respectively. A standard cervical examination was performed and a cotton swab was used to remove abundant mucus prior to the collection of a sample for Chlamydia trachomatis and Neisseria gonorrhoeae screening. The diagnosis of BV was based on the Nugent Gram stain and the presence of three Amsel criteria characteristic vaginal discharge, clue cells, and positive amine test.
DNA was isolated and sequence analysis was performed on a 454 GS-FLX-Titanium Sequencer (454 Life Sciences, Branford, CT, USA). Evaluation of indicators for BV was carried out by 16S ribosomal ribonucleic acid (rRNA) amplicon sequencing of the V5-V7 region, a tailor-made 16S rRNA oligonucleotide-based microarray, and a polymerase chain reaction (PCR)-based profiling technique termed IS-profiling, which is based on fragment variability of the 16S-23S rRNA intergenic spacer region. The amplification of the IS-regions was performed with the IS-pro assay (IS-Diagnostics, Amsterdam, the Netherlands).
Analysis of the bacterial communities by 16S rRNA amplicon sequencing revealed two clusters in the BV negative women, dominated by either Lactobacillus iners or L. crispatus and three distinct clusters in the BV positive women. In the former, there was a virtually complete, negative correlation between L. crispatus and L. iners. BV positive subjects showed cluster profiles that were relatively high in bacterial species diversity and dominated by anaerobic species, including Gardnerella vaginalis, and those belonging to the Families of Lachnospiraceae and Leptotrichiaceae. Accordingly, the Gini-Simpson index of species diversity, and the relative abundance Lactobacillus species appeared consistent indicators for BV.
The authors concluded that an affordable and simple molecular test showing a depletion of the genus Lactobacillus in combination with an increased species diversity of vaginal microbiota could serve as an alternative and practical diagnostic method for the assessment of BV. The study was published on April 23, 2016, in the joournal BMC Infectious Diseases.
Related Links:
Vrije Universiteit
454 Life Sciences
IS-Diagnostics
Latest Microbiology News
- Blood-Based Viral Signature Identified in Crohn’s Disease
- Hidden Gut Viruses Linked to Colorectal Cancer Risk
- Three-Test Panel Launched for Detection of Liver Fluke Infections
- Rapid Test Promises Faster Answers for Drug-Resistant Infections
- CRISPR-Based Technology Neutralizes Antibiotic-Resistant Bacteria
- Comprehensive Review Identifies Gut Microbiome Signatures Associated With Alzheimer’s Disease
- AI-Powered Platform Enables Rapid Detection of Drug-Resistant C. Auris Pathogens
- New Test Measures How Effectively Antibiotics Kill Bacteria
- New Antimicrobial Stewardship Standards for TB Care to Optimize Diagnostics
- New UTI Diagnosis Method Delivers Antibiotic Resistance Results 24 Hours Earlier
- Breakthroughs in Microbial Analysis to Enhance Disease Prediction
- Blood-Based Diagnostic Method Could Identify Pediatric LRTIs
- Rapid Diagnostic Test Matches Gold Standard for Sepsis Detection
- Rapid POC Tuberculosis Test Provides Results Within 15 Minutes
- Rapid Assay Identifies Bloodstream Infection Pathogens Directly from Patient Samples
- Blood-Based Molecular Signatures to Enable Rapid EPTB Diagnosis
Channels
Clinical Chemistry
view channelNew Blood Test Index Offers Earlier Detection of Liver Scarring
Metabolic fatty liver disease is highly prevalent and often silent, yet it can progress to fibrosis, cirrhosis, and liver failure. Current first-line blood test scores frequently return indeterminate results,... Read more
Electronic Nose Smells Early Signs of Ovarian Cancer in Blood
Ovarian cancer is often diagnosed at a late stage because its symptoms are vague and resemble those of more common conditions. Unlike breast cancer, there is currently no reliable screening method, and... 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
New Biomarker Predicts Chemotherapy Response in Triple-Negative Breast Cancer
Triple-negative breast cancer is an aggressive form of breast cancer in which patients often show widely varying responses to chemotherapy. Predicting who will benefit from treatment remains challenging,... Read moreBlood Test Identifies Lung Cancer Patients Who Can Benefit from Immunotherapy Drug
Small cell lung cancer (SCLC) is an aggressive disease with limited treatment options, and even newly approved immunotherapies do not benefit all patients. While immunotherapy can extend survival for some,... Read more
Whole-Genome Sequencing Approach Identifies Cancer Patients Benefitting From PARP-Inhibitor Treatment
Targeted cancer therapies such as PARP inhibitors can be highly effective, but only for patients whose tumors carry specific DNA repair defects. Identifying these patients accurately remains challenging,... Read more
Ultrasensitive Liquid Biopsy Demonstrates Efficacy in Predicting Immunotherapy Response
Immunotherapy has transformed cancer treatment, but only a small proportion of patients experience lasting benefit, with response rates often remaining between 10% and 20%. Clinicians currently lack reliable... Read moreMicrobiology
view channel
Blood-Based Viral Signature Identified in Crohn’s Disease
Crohn’s disease is a chronic inflammatory intestinal disorder affecting approximately 0.4% of the European population, with symptoms and progression that vary widely. Although viral components of the microbiome... Read more
Hidden Gut Viruses Linked to Colorectal Cancer Risk
Colorectal cancer (CRC) remains a leading cause of cancer mortality in many Western countries, and existing risk-stratification approaches leave substantial room for improvement. Although age, diet, and... Read morePathology
view channel
Molecular Imaging to Reduce Need for Melanoma Biopsies
Melanoma is the deadliest form of skin cancer and accounts for the vast majority of skin cancer-related deaths. Because early melanomas can closely resemble benign moles, clinicians often rely on visual... Read more
Urine Specimen Collection System Improves Diagnostic Accuracy and Efficiency
Urine testing is a critical, non-invasive diagnostic tool used to detect conditions such as pregnancy, urinary tract infections, metabolic disorders, cancer, and kidney disease. However, contaminated or... Read moreTechnology
view channel
Blood Test “Clocks” Predict Start of Alzheimer’s Symptoms
More than 7 million Americans live with Alzheimer’s disease, and related health and long-term care costs are projected to reach nearly USD 400 billion in 2025. The disease has no cure, and symptoms often... Read more
AI-Powered Biomarker Predicts Liver Cancer Risk
Liver cancer, or hepatocellular carcinoma, causes more than 800,000 deaths worldwide each year and often goes undetected until late stages. Even after treatment, recurrence rates reach 70% to 80%, contributing... Read more
Robotic Technology Unveiled for Automated Diagnostic Blood Draws
Routine diagnostic blood collection is a high‑volume task that can strain staffing and introduce human‑dependent variability, with downstream implications for sample quality and patient experience.... Read more
ADLM Launches First-of-Its-Kind Data Science Program for Laboratory Medicine Professionals
Clinical laboratories generate billions of test results each year, creating a treasure trove of data with the potential to support more personalized testing, improve operational efficiency, and enhance patient care.... Read moreIndustry
view channel
Cepheid Joins CDC Initiative to Strengthen U.S. Pandemic Testing Preparednesss
Cepheid (Sunnyvale, CA, USA) has been selected by the U.S. Centers for Disease Control and Prevention (CDC) as one of four national collaborators in a federal initiative to speed rapid diagnostic technologies... Read more
QuidelOrtho Collaborates with Lifotronic to Expand Global Immunoassay Portfolio
QuidelOrtho (San Diego, CA, USA) has entered a long-term strategic supply agreement with Lifotronic Technology (Shenzhen, China) to expand its global immunoassay portfolio and accelerate customer access... Read more







