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  1. Article ; Online: The Role of Subgenomic RNA in Discordant Results From Reverse Transcription-Polymerase Chain Reaction Tests for COVID-19.

    Toppings, Noah B / Oberding, Lisa K / Lin, Yi-Chan / Evans, David / Pillai, Dylan R

    Archives of pathology & laboratory medicine

    2022  Volume 146, Issue 7, Page(s) 805–813

    Abstract: ... PCR assays was designed to quantify the ORF1, E-gene, and N-gene of SARS-CoV-2. This panel was used ... infected cells showed higher N-gene/ORF1 copy ratios than culture supernatants. The same trends ... number of N-gene relative to E-gene and ORF1 transcripts could potentially explain inconclusive results ...

    Abstract Context.—: Reverse transcription-polymerase chain reaction (RT-PCR) is the standard method of diagnosing COVID-19. An inconclusive test result occurs when 1 RT-PCR target is positive for SARS-CoV-2 and 1 RT-PCR target is negative for SARS-CoV-2 within the same sample. An inconclusive result generally requires retesting. One reason why a sample may yield an inconclusive result is that one target is at a higher concentration than another target.
    Objective.—: To understand the role of subgenomic RNA transcripts in discordant results from RT-PCR tests for COVID-19.
    Design.—: A panel of 6 droplet digital PCR assays was designed to quantify the ORF1, E-gene, and N-gene of SARS-CoV-2. This panel was used to quantify viral cultures of SARS-CoV-2 that were harvested during the eclipse phase and at peak infectivity. Eleven clinical nasopharyngeal swabs were also tested with this panel.
    Results.—: In culture, infected cells showed higher N-gene/ORF1 copy ratios than culture supernatants. The same trends in the relative abundance of copies across different targets observed in infected cells were observed in clinical samples, although trends were more pronounced in infected cells.
    Conclusions.—: This study showed that a greater copy number of N-gene relative to E-gene and ORF1 transcripts could potentially explain inconclusive results for some RT-PCR tests on low viral load samples. The use of N-gene RT-PCR target(s) as opposed to ORF1 targets for routine testing is supported by these data.
    MeSH term(s) COVID-19/diagnosis ; Humans ; RNA ; RNA, Viral/genetics ; Reverse Transcriptase Polymerase Chain Reaction ; Reverse Transcription ; SARS-CoV-2/genetics
    Chemical Substances RNA, Viral ; RNA (63231-63-0)
    Language English
    Publishing date 2022-04-05
    Publishing country United States
    Document type Journal Article
    ZDB-ID 194119-7
    ISSN 1543-2165 ; 0363-0153 ; 0096-8528 ; 0003-9985
    ISSN (online) 1543-2165
    ISSN 0363-0153 ; 0096-8528 ; 0003-9985
    DOI 10.5858/arpa.2021-0630-SA
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Ud II Zs.36: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  2. Article ; Online: Correlation of Clinical Severity With Stool Microbiome Changes in Clostridioides difficile Infection.

    Castañeda-Mogollón, Daniel / Doolan, Cody P / Toppings, Noah B / Amarasekara, Ranmalee / Tran, Thuy-Ann / Pillai, Dylan R

    Archives of pathology & laboratory medicine

    2022  Volume 147, Issue 7, Page(s) 774–785

    Abstract: ... negative: n = 180; CDI-positive; n = 178). The stool bacteriome was profiled by amplicon deep sequencing ...

    Abstract Context.—: Clostridioides difficile infection (CDI) is the world-leading cause of infectious nosocomial diarrhea and pseudomembranous colitis. Antibiotics are the first line of treatment against CDI despite the high likelihood of antibiotic failure and/or recurrence. More data are needed to correlate clinical variables with 16S rRNA microbiome profiles in CDI-infected patients.
    Objective.—: To determine the relationship(s) between a patient's clinical factors and the stool bacteriome of CDI-positive patients and CDI-negative patients with diarrheal symptoms.
    Design.—: This study used stool samples and clinical data from 358 patients with nosocomial diarrhea, who were divided by their CDI diagnosis (CDI-negative: n = 180; CDI-positive; n = 178). The stool bacteriome was profiled by amplicon deep sequencing of the 16S rRNA gene, followed by correlating clinical data.
    Results.—: The stool bacteriome was significantly different by severity assessment regardless of CDI status. Phyla and species varied significantly by CDI diagnosis. Severity, defined as a serum white blood cell count greater than 15 cells/μL and/or a creatinine level greater than 1.5 mg/dL, correlated significantly with dysbiosis of the stool bacteriome profile of CDI-positive patients compared to CDI-negative patients. Serum white blood cell count was significantly higher in patients with bacterial dysbiosis, and high levels of creatinine were associated with low bacteriome diversity.
    Conclusions.—: Clinical severity of CDI influences the stool microbiome of infected patients. To date, this study has the largest data set comparing 16S rRNA microbiome profiles and clinical variables between CDI-infected and noninfected individuals.
    MeSH term(s) Humans ; RNA, Ribosomal, 16S/genetics ; Dysbiosis/drug therapy ; Creatinine ; Clostridioides difficile/genetics ; Clostridium Infections/diagnosis ; Clostridium Infections/drug therapy ; Clostridium Infections/microbiology ; Microbiota ; Anti-Bacterial Agents/therapeutic use ; Diarrhea/drug therapy ; Diarrhea/microbiology ; Cross Infection/drug therapy
    Chemical Substances RNA, Ribosomal, 16S ; Creatinine (AYI8EX34EU) ; Anti-Bacterial Agents
    Language English
    Publishing date 2022-10-21
    Publishing country United States
    Document type Journal Article
    ZDB-ID 194119-7
    ISSN 1543-2165 ; 0363-0153 ; 0096-8528 ; 0003-9985
    ISSN (online) 1543-2165
    ISSN 0363-0153 ; 0096-8528 ; 0003-9985
    DOI 10.5858/arpa.2021-0636-OA
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Ud II Zs.36: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  3. Article: Wolfram Syndrome: A Case Report and Review of Clinical Manifestations, Genetics Pathophysiology, and Potential Therapies.

    Toppings, N B / McMillan, J M / Au, P Y B / Suchowersky, O / Donovan, L E

    Case reports in endocrinology

    2018  Volume 2018, Page(s) 9412676

    Abstract: Background: Classical Wolfram syndrome (WS) is a rare autosomal recessive disorder caused by mutations in : Case: We describe a woman without risk factors for gestational or type 2 diabetes who presented with gestational diabetes (GDM) at the age of ... ...

    Abstract Background: Classical Wolfram syndrome (WS) is a rare autosomal recessive disorder caused by mutations in
    Case: We describe a woman without risk factors for gestational or type 2 diabetes who presented with gestational diabetes (GDM) at the age of 39 years during her first and only pregnancy. Although she had optic atrophy since the age of 10 years, WS was not considered as her diagnosis until she presented with GDM. Biallelic mutations in
    Conclusions: The distinct natural history, complications, and differences in management reinforce the importance of distinguishing WS from other forms of diabetes. Recent advances in the genetics and pathophysiology of WS have led to promising new therapeutic considerations that may preserve
    Language English
    Publishing date 2018-04-18
    Publishing country United States
    Document type Case Reports
    ZDB-ID 2627633-1
    ISSN 2090-651X ; 2090-6501
    ISSN (online) 2090-651X
    ISSN 2090-6501
    DOI 10.1155/2018/9412676
    Database MEDical Literature Analysis and Retrieval System OnLINE

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