Last data update: Jan 27, 2025. (Total: 48650 publications since 2009)
Records 1-5 (of 5 Records) |
Query Trace: Matteson K[original query] |
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Wastewater sequencing uncovers early, cryptic SARS-CoV-2 variant transmission (preprint)
Karthikeyan S , Levy JI , De Hoff P , Humphrey G , Birmingham A , Jepsen K , Farmer S , Tubb HM , Valles T , Tribelhorn CE , Tsai R , Aigner S , Sathe S , Moshiri N , Henson B , Mark AM , Hakim A , Baer NA , Barber T , Belda-Ferre P , Chacón M , Cheung W , Cresini ES , Eisner ER , Lastrella AL , Lawrence ES , Marotz CA , Ngo TT , Ostrander T , Plascencia A , Salido RA , Seaver P , Smoot EW , McDonald D , Neuhard RM , Scioscia AL , Satterlund AM , Simmons EH , Abelman DB , Brenner D , Bruner JC , Buckley A , Ellison M , Gattas J , Gonias SL , Hale M , Hawkins F , Ikeda L , Jhaveri H , Johnson T , Kellen V , Kremer B , Matthews G , McLawhon RW , Ouillet P , Park D , Pradenas A , Reed S , Riggs L , Sanders A , Sollenberger B , Song A , White B , Winbush T , Aceves CM , Anderson C , Gangavarapu K , Hufbauer E , Kurzban E , Lee J , Matteson NL , Parker E , Perkins SA , Ramesh KS , Robles-Sikisaka R , Schwab MA , Spencer E , Wohl S , Nicholson L , McHardy IH , Dimmock DP , Hobbs CA , Bakhtar O , Harding A , Mendoza A , Bolze A , Becker D , Cirulli ET , Isaksson M , Barrett KMS , Washington NL , Malone JD , Schafer AM , Gurfield N , Stous S , Fielding-Miller R , Garfein RS , Gaines T , Anderson C , Martin NK , Schooley R , Austin B , MacCannell DR , Kingsmore SF , Lee W , Shah S , McDonald E , Yu AT , Zeller M , Fisch KM , Longhurst C , Maysent P , Pride D , Khosla PK , Laurent LC , Yeo GW , Andersen KG , Knight R . medRxiv 2022 As SARS-CoV-2 continues to spread and evolve, detecting emerging variants early is critical for public health interventions. Inferring lineage prevalence by clinical testing is infeasible at scale, especially in areas with limited resources, participation, or testing/sequencing capacity, which can also introduce biases. SARS-CoV-2 RNA concentration in wastewater successfully tracks regional infection dynamics and provides less biased abundance estimates than clinical testing. Tracking virus genomic sequences in wastewater would improve community prevalence estimates and detect emerging variants. However, two factors limit wastewater-based genomic surveillance: low-quality sequence data and inability to estimate relative lineage abundance in mixed samples. Here, we resolve these critical issues to perform a high-resolution, 295-day wastewater and clinical sequencing effort, in the controlled environment of a large university campus and the broader context of the surrounding county. We develop and deploy improved virus concentration protocols and deconvolution software that fully resolve multiple virus strains from wastewater. We detect emerging variants of concern up to 14 days earlier in wastewater samples, and identify multiple instances of virus spread not captured by clinical genomic surveillance. Our study provides a scalable solution for wastewater genomic surveillance that allows early detection of SARS-CoV-2 variants and identification of cryptic transmission. |
The epidemiology and clinical features of non-keratitis acanthamoeba infections in the United States, 1956-2020
Haston JC , O'Laughlin K , Matteson K , Roy S , Qvarnstrom Y , Ali IKM , Cope JR . Open Forum Infect Dis 2023 10 (1) ofac682 BACKGROUND: Acanthamoeba is a free-living ameba that can cause severe disease affecting the central nervous system, skin, sinuses, and other organs, particularly in immunocompromised individuals. These rare but severe infections are often fatal, yet incompletely described. METHODS: Cases included were either reported to the Centers for Disease Control and Prevention (CDC) Free-Living Ameba program or published in scientific literature. Characteristics of all patients in the United States with laboratory-confirmed non-keratitis Acanthamoeba infections were described using descriptive statistics, and associations with survival were determined using χ(2) and Fisher exact tests. RESULTS: Of 173 patients identified, 71% were male and the median age was 44 years (range, 0-87 years). Of these, 26 (15%) survived. Most patients (88%) had at least 1 immunocompromising condition, most commonly human immunodeficiency virus (39%), cancer (28%), and solid organ or hematopoietic stem cell transplant (28%). Granulomatous amebic encephalitis (GAE) was the most common disease presentation (71%). Skin (46%), sinuses (29%), lungs (13%), and bone (6%) were also involved. Nearly half of patients (47%) had involvement of >1 organ system. Survival was less frequent among those with GAE (3%, P < .001) compared with cutaneous disease, rhinosinusitis, or multiorgan disease not including GAE. Of 7 who received the currently recommended treatment regimen, 5 (71%) survived. CONCLUSIONS: Non-keratitis Acanthamoeba infections occur primarily in immunocompromised individuals and are usually fatal. Survival may be associated with disease presentation and treatment. Providers who care for at-risk patients should be aware of the various disease manifestations to improve early recognition and treatment. |
Wastewater sequencing reveals early cryptic SARS-CoV-2 variant transmission.
Karthikeyan S , Levy JI , De Hoff P , Humphrey G , Birmingham A , Jepsen K , Farmer S , Tubb HM , Valles T , Tribelhorn CE , Tsai R , Aigner S , Sathe S , Moshiri N , Henson B , Mark AM , Hakim A , Baer NA , Barber T , Belda-Ferre P , Chacón M , Cheung W , Cresini ES , Eisner ER , Lastrella AL , Lawrence ES , Marotz CA , Ngo TT , Ostrander T , Plascencia A , Salido RA , Seaver P , Smoot EW , McDonald D , Neuhard RM , Scioscia AL , Satterlund AM , Simmons EH , Abelman DB , Brenner D , Bruner JC , Buckley A , Ellison M , Gattas J , Gonias SL , Hale M , Hawkins F , Ikeda L , Jhaveri H , Johnson T , Kellen V , Kremer B , Matthews G , McLawhon RW , Ouillet P , Park D , Pradenas A , Reed S , Riggs L , Sanders A , Sollenberger B , Song A , White B , Winbush T , Aceves CM , Anderson C , Gangavarapu K , Hufbauer E , Kurzban E , Lee J , Matteson NL , Parker E , Perkins SA , Ramesh KS , Robles-Sikisaka R , Schwab MA , Spencer E , Wohl S , Nicholson L , McHardy IH , Dimmock DP , Hobbs CA , Bakhtar O , Harding A , Mendoza A , Bolze A , Becker D , Cirulli ET , Isaksson M , Schiabor Barrett KM , Washington NL , Malone JD , Schafer AM , Gurfield N , Stous S , Fielding-Miller R , Garfein RS , Gaines T , Anderson C , Martin NK , Schooley R , Austin B , MacCannell DR , Kingsmore SF , Lee W , Shah S , McDonald E , Yu AT , Zeller M , Fisch KM , Longhurst C , Maysent P , Pride D , Khosla PK , Laurent LC , Yeo GW , Andersen KG , Knight R . Nature 2022 609 (7925) 101-108 ![]() As SARS-CoV-2 continues to spread and evolve, detecting emerging variants early is critical for public health interventions. Inferring lineage prevalence by clinical testing is infeasible at scale, especially in areas with limited resources, participation, or testing/sequencing capacity, which can also introduce biases(1-3). SARS-CoV-2 RNA concentration in wastewater successfully tracks regional infection dynamics and provides less biased abundance estimates than clinical testing(4,5). Tracking virus genomic sequences in wastewater would improve community prevalence estimates and detect emerging variants. However, two factors limit wastewater-based genomic surveillance: low-quality sequence data and inability to estimate relative lineage abundance in mixed samples. Here, we resolve these critical issues to perform a high-resolution, 295-day wastewater and clinical sequencing effort, in the controlled environment of a large university campus and the broader context of the surrounding county. We develop and deploy improved virus concentration protocols and deconvolution software that fully resolve multiple virus strains from wastewater. We detect emerging variants of concern up to 14 days earlier in wastewater samples, and identify multiple instances of virus spread not captured by clinical genomic surveillance. Our study provides a scalable solution for wastewater genomic surveillance that allows early detection of SARS-CoV-2 variants and identification of cryptic transmission. |
Electronic cigarette use during preconception and/or pregnancy: Prevalence, characteristics, and concurrent mental health conditions
Rollins LG , Sokol NA , McCallum M , England L , Matteson K , Werner E , Stroud LR . J Womens Health (Larchmt) 2020 29 (6) 780-788 Background: Electronic cigarettes (e-cigarettes) are increasing in popularity in the United States. Prior prevalence estimates of e-cigarette use in pregnancy range from 1% to 15%. Materials and Methods: We assessed prevalence of e-cigarette and conventional cigarette use during preconception or pregnancy in a large sample of racially/ethnically diverse, low-income pregnant women via telephone survey (2015-2018) and compared sociodemographic characteristics and mental health conditions. Results: Of 1365 pregnant women surveyed, 54 (4.0%) reported e-cigarette use (regardless of other tobacco use), 372 (27.3%) reported conventional cigarette use without e-cigarette use (conventional cigarette use), and 939 (68.8%) reported no tobacco or nicotine replacement therapy (NRT) product use during the preconception period and/or pregnancy. Seventy-four percent of women using e-cigarettes reported also using conventional cigarettes. Women who used e-cigarettes were more likely to report high school education or greater, income <$30,000, White race, and non-Hispanic ethnicity than women who used conventional cigarettes. Women who used e-cigarettes were more likely than women who used conventional cigarettes or no tobacco/NRT to report symptoms of depression. Women who used e-cigarettes and women who used conventional cigarettes were more likely than women who used no tobacco/NRT to report a history of severe mental health conditions, alcohol use during pregnancy, and marijuana or other drug use during preconception. Conclusions: In this sample, 4% of women used e-cigarettes during preconception and/or pregnancy and most also used conventional cigarettes. Increased efforts by providers to screen for tobacco (including use of e-cigarette) and polysubstance use and to provide cessation services could improve outcomes of mothers and children. |
What women and their physicians need to know about the UKCTOCS study and ovarian cancer screening
Balas C , Barley D , Baugh E , Berchuck A , Boyd J , Chiuzan C , DeFeo S , Ebell M , Ellis A , Gavin K , Levin B , Matteson K , Moran A , Narod S , Ramsey C , Seiden M , Stewart SL . Am Fam Physician 2016 93 (11) 903-904 In February 2016, the Ovarian Cancer Research Fund Alliance convened a group of 25 scientists, clinicians, and advocates to meet at the Banbury Center, Cold Spring Harbor Laboratory, to discuss the recent results from the United Kingdom Collaborative Trial of Ovarian Cancer Screening (UKCTOCS) and implications for clinical practice and public health. | Ovarian cancer is a relatively rare type of cancer that affects approximately 1.5% of U.S. women during their lifetime, but it is the fifth most common cause of cancer death among women.1 The five-year survival rate is only about 45% because most women present with advanced-stage disease.1 There has not been an accepted early detection test because of a lack of evidence that any screening approach reduces death from ovarian cancer. At the time of the conference, no organization had issued a guideline recommending screening for ovarian cancer in women not at increased risk. | The current recommendations against screening for ovarian cancer are based on the large U.S. prospective randomized Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial.2 The PLCO trial demonstrated that an annual cancer antigen (CA) 125 measurement (using a fixed cutoff value for a positive test result) and ultrasonography were not associated with a reduction in mortality from ovarian cancer. Furthermore, screening was associated with significant harms resulting from surgeries that were triggered by false-positive findings. |
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