Maryann Gong’s scientific contributions

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Publications (3)


The Evvy VMB test workflow.
Shotgun metagenomics resolution of mock community samples: (A) Of 1:10 dilution of mock community performed in the wet lab and (B) an in-silico subsampling of the initial mock community sample down to a 4-log decrease.
Relative abundance graphs of vaginal samples. These profiles are example profiles containing the top 10 species detected by frequency and relative abundance (Table 2).
Comparison of Evvy’s user data to the 2020 US census data. Percent of samples stratified by (A) age, or (B) self-reported race and ethnicity compared to reported US census data. * The follow race/ethnicity options were shortened for this figure: Black or African American, American Indian or Alaskan Native, Native Hawaiian or Pacific Islander.
Sensitivity and specificity based on sequencing 168 ATCC isolates ATCC.

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A Metagenomics Pipeline to Characterize Self-Collected Vaginal Microbiome Samples
  • Article
  • Full-text available

September 2024

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38 Reads

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2 Citations

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Genevieve Olmschenk

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[...]

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Pita Navarro

Vaginitis is a widespread issue for women worldwide, yet current diagnostic tools are lacking. Bacterial vaginosis (BV) is the most prevalent type of vaginitis, found in 10–50% of reproductive-aged women. Current diagnostic methods for BV rely on clinical criteria, microscopy, or the detection of a few microbes by qPCR. However, many vaginal infections lack a single etiological agent and are characterized by changes in the vaginal microbiome community structure (e.g., BV is defined as a loss of protective lactobacilli resulting in an overgrowth of anaerobic bacteria). Shotgun metagenomic sequencing provides a comprehensive view of all the organisms present in the vaginal microbiome (VMB), allowing for a better understanding of all potential etiologies. Here, we describe a robust VMB metagenomics sequencing test with a sensitivity of 93.1%, a specificity of 90%, a negative predictive value of 93.4%, and a positive predictive value of 89.6% certified by Clinical Laboratory Improvement Amendments (CLIA), the College of American Pathologist (CAP), and the Clinical Laboratory Evaluation Program (CLEP). We sequenced over 7000 human vaginal samples with this pipeline and described general findings and comparisons to US census data.

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Figure 1. The Evvy VMB test workflow.
Figure 2. Shotgun Metagenomics Resolution of Mock Community samples: (A) Of 1:10 dilution of mock community performed in the wet lab and (B) an in-silico subsampling of the initial mock community sample down to a 4 log decrease.
Figure 4. Comparison of Evvy's user data to the 2020 US census data. Percent of samples stratified by (a) age, or (b) self-reported race and ethnicity compared to reported US census data.
Average coefficient of variance (CV) for inter-and intra-assay reproducability.
A Metagenomics Pipeline to Characterize Self-Collected Vaginal Microbiome Samples

August 2024

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34 Reads

Vaginitis is a widespread issue for women worldwide, yet current diagnostic tools are lacking. Bacterial vaginosis (BV) is the most prevalent type of vaginitis, found in 10-50% of reproductive aged women. Current diagnostic methods for BV rely on clinical criteria, microscopy, or detection of a few microbes by qPCR. However, many vaginal infections lack a single etiological agent and are characterized by changes in the vaginal microbiome community structure (e.g. BV is defined as a loss of protective lactobacilli resulting in an overgrowth of anaerobic bacteria). Shotgun metagenomic sequencing provides a comprehensive view of all the organisms present in the vaginal microbiome (VMB) allowing for a better understanding of all potential etiologies. Here, we describe a robust VMB metagenomics sequencing test with a sensitivity of 93.1%, specificity of 90%, a negative predictive value of 93.4%, and a positive predictive value of 89.6% certified by Clinical Laboratory Improvement Amendments (CLIA), the College of American Pathologist (CAP) and the Clinical Laboratory Evaluation Program (CLEP). We sequenced over 7,000 human vaginal samples with this pipeline and described general findings and comparison to US census data.


Figure 1. The Evvy VMB test workflow.
Figure 3. Comparison of Evvy's user data to the 2020 US census data. Percent of samples stratified by (a) age, or (b) self-reported race and ethnicity compared to reported US census data.
Sensitivity and specificity based on sequencing 168 ATCC isolates.
The top ten species and genera identified in 7,158 human vaginal samples, based on their prevalence.
An Accurate Metagenomics Pipeline to Characterize Self-Collected Vaginal Microbiome Samples

May 2024

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87 Reads

Vaginitis is a widespread issue for women worldwide, yet current diagnostic tools are lacking. Bacterial vaginosis (BV) is the most prevalent type of vaginitis, found in 10-50% of reproductive aged women. Current diagnostic methods for BV rely on clinical criteria, microscopy, or detection of a few microbes by qPCR. However, many vaginal infections lack a single etiological agent and are characterized by changes in the vaginal microbiome community structure (e.g. BV is defined as a loss of protective lactobacilli resulting in an overgrowth of anaerobic bacteria). Shotgun metagenomic sequencing provides a comprehensive view of all the organisms present in the vaginal microbiome (VMB) allowing for a better understanding of all potential etiologies. Here, we describe a robust VMB metagenomics sequencing test with a sensitivity of 88.5%, specificity of 96.2%, and a positive predictive value of 95.8% certified by Clinical Laboratory Improvement Amendments (CLIA), the College of American Pathologist (CAP) and the Clinical Laboratory Evaluation Program (CLEP). We sequenced over 7,000 human vaginal samples with this pipeline and described general findings and comparison to US census data.