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  1. Article ; Online: Hunting for Genes Linked to Risk of, Not From, Bloodstream Infection.

    Sweeney, Timothy E

    Critical care medicine

    2020  Volume 48, Issue 11, Page(s) 1696–1697

    MeSH term(s) Bacteremia/genetics ; Cohort Studies ; Genetic Linkage ; Humans ; Pedigree ; Sepsis/genetics
    Language English
    Publishing date 2020-10-10
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 197890-1
    ISSN 1530-0293 ; 0090-3493
    ISSN (online) 1530-0293
    ISSN 0090-3493
    DOI 10.1097/CCM.0000000000004596
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1261: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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    ab Jg. 2022: Lesesaal (EG)

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  2. Article ; Online: Transcriptional markers in response to hydrocortisone in sepsis in ADRENAL: a step toward precision medicine.

    Sweeney, Timothy E / Wong, Hector R

    Intensive care medicine

    2021  Volume 47, Issue 9, Page(s) 1011–1013

    MeSH term(s) Adrenal Insufficiency/drug therapy ; Humans ; Hydrocortisone ; Precision Medicine ; Sepsis/drug therapy
    Chemical Substances Hydrocortisone (WI4X0X7BPJ)
    Language English
    Publishing date 2021-08-10
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 80387-x
    ISSN 1432-1238 ; 0340-0964 ; 0342-4642 ; 0935-1701
    ISSN (online) 1432-1238
    ISSN 0340-0964 ; 0342-4642 ; 0935-1701
    DOI 10.1007/s00134-021-06504-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: A new possibility: gene-expression-based diagnostics for presymptomatic diagnosis of hospital-acquired infections.

    Moita, Luís F / Sweeney, Timothy E / Póvoa, Pedro

    Intensive care medicine

    2022  Volume 48, Issue 9, Page(s) 1206–1207

    MeSH term(s) Cross Infection/diagnosis ; Hospitals ; Humans
    Language English
    Publishing date 2022-08-02
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 80387-x
    ISSN 1432-1238 ; 0340-0964 ; 0342-4642 ; 0935-1701
    ISSN (online) 1432-1238
    ISSN 0340-0964 ; 0342-4642 ; 0935-1701
    DOI 10.1007/s00134-022-06823-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 1089: Show issues Location:
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  4. Article ; Online: The authors reply.

    Sweeney, Timothy E / Liesenfeld, Oliver / Giamarellos-Bourboulis, Evangelos J

    Critical care medicine

    2021  Volume 49, Issue 7, Page(s) e720–e721

    Language English
    Publishing date 2021-04-22
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 197890-1
    ISSN 1530-0293 ; 0090-3493
    ISSN (online) 1530-0293
    ISSN 0090-3493
    DOI 10.1097/CCM.0000000000005063
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: A Spotlight on Disruptors and Innovators.

    Patel, Khushbu / Evans, Susan / Lee, Jong / Pamula, Vamsee / Shah, Ajay / Sweeney, Timothy E / Tadimety, Amogha

    Clinical chemistry

    2023  Volume 69, Issue 3, Page(s) 216–221

    Language English
    Publishing date 2023-02-14
    Publishing country England
    Document type Journal Article
    ZDB-ID 80102-1
    ISSN 1530-8561 ; 0009-9147
    ISSN (online) 1530-8561
    ISSN 0009-9147
    DOI 10.1093/clinchem/hvad004
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Ud II Zs.171: Show issues Location:
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  6. Article ; Online: A machine learning classifier using 33 host immune response mRNAs accurately distinguishes viral and non-viral acute respiratory illnesses in nasal swab samples.

    Pandya, Rushika / He, Yudong D / Sweeney, Timothy E / Hasin-Brumshtein, Yehudit / Khatri, Purvesh

    Genome medicine

    2023  Volume 15, Issue 1, Page(s) 64

    Abstract: Background: Viral acute respiratory illnesses (viral ARIs) contribute significantly to human morbidity and mortality worldwide, but their successful treatment requires timely diagnosis of viral etiology, which is complicated by overlap in clinical ... ...

    Abstract Background: Viral acute respiratory illnesses (viral ARIs) contribute significantly to human morbidity and mortality worldwide, but their successful treatment requires timely diagnosis of viral etiology, which is complicated by overlap in clinical presentation with the non-viral ARIs. Multiple pandemics in the twenty-first century to date have further highlighted the unmet need for effective monitoring of clinically relevant emerging viruses. Recent studies have identified conserved host response to viral infections in the blood.
    Methods: We hypothesize that a similarly conserved host response in nasal samples can be utilized for diagnosis and to rule out viral infection in symptomatic patients when current diagnostic tests are negative. Using a multi-cohort analysis framework, we analyzed 1555 nasal samples across 10 independent cohorts dividing them into training and validation.
    Results: Using six of the datasets for training, we identified 119 genes that are consistently differentially expressed in viral ARI patients (N = 236) compared to healthy controls (N = 146) and further down-selected 33 genes for classifier development. The resulting locked logistic regression-based classifier using the 33-mRNAs had AUC of 0.94 and 0.89 in the six training and four validation datasets, respectively. Furthermore, we found that although trained on healthy controls only, in the four validation datasets, the 33-mRNA classifier distinguished viral ARI from both healthy or non-viral ARI samples with > 80% specificity and sensitivity, irrespective of age, viral type, and viral load. Single-cell RNA-sequencing data showed that the 33-mRNA signature is dominated by macrophages and neutrophils in nasal samples.
    Conclusion: This proof-of-concept signature has potential to be adapted as a clinical point-of-care test ('RespVerity') to improve the diagnosis of viral ARIs.
    MeSH term(s) Humans ; Machine Learning ; Macrophages ; Neutrophils ; Pandemics ; RNA, Messenger
    Chemical Substances RNA, Messenger
    Language English
    Publishing date 2023-08-28
    Publishing country England
    Document type Journal Article
    ZDB-ID 2484394-5
    ISSN 1756-994X ; 1756-994X
    ISSN (online) 1756-994X
    ISSN 1756-994X
    DOI 10.1186/s13073-023-01216-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: The authors reply.

    Sweeney, Timothy E / Khatri, Purvesh

    Critical care medicine

    2017  Volume 45, Issue 3, Page(s) e341

    Language English
    Publishing date 2017-02-13
    Publishing country United States
    Document type Letter ; Research Support, Non-U.S. Gov't ; Comment
    ZDB-ID 197890-1
    ISSN 1530-0293 ; 0090-3493
    ISSN (online) 1530-0293
    ISSN 0090-3493
    DOI 10.1097/CCM.0000000000002219
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1261: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  8. Article ; Online: Septic Cardiomyopathy: Getting to the Heart of the Matter.

    Sweeney, Timothy E / Khatri, Purvesh

    Critical care medicine

    2017  Volume 45, Issue 3, Page(s) 556–557

    MeSH term(s) Cardiomyopathies ; Heart ; Humans ; Shock, Septic
    Language English
    Publishing date 2017-02-17
    Publishing country United States
    Document type Editorial ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Comment
    ZDB-ID 197890-1
    ISSN 1530-0293 ; 0090-3493
    ISSN (online) 1530-0293
    ISSN 0090-3493
    DOI 10.1097/CCM.0000000000002239
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 1261: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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  9. Article ; Online: The authors reply.

    Sweeney, Timothy E / Khatri, Purvesh

    Critical care medicine

    2017  Volume 45, Issue 4, Page(s) e457–e458

    MeSH term(s) Benchmarking ; Diagnostic Tests, Routine ; Gene Expression ; Humans ; Sepsis
    Language English
    Publishing date 2017-05-01
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 197890-1
    ISSN 1530-0293 ; 0090-3493
    ISSN (online) 1530-0293
    ISSN 0090-3493
    DOI 10.1097/CCM.0000000000002269
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 1261: Show issues Location:
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  10. Article ; Online: A robust gene expression signature for NASH in liver expression data.

    Hasin-Brumshtein, Yehudit / Sakaram, Suraj / Khatri, Purvesh / He, Yudong D / Sweeney, Timothy E

    Scientific reports

    2022  Volume 12, Issue 1, Page(s) 2571

    Abstract: Non-Alcoholic Fatty Liver Disease (NAFLD) is a progressive liver disease that affects up to 30% of worldwide population, of which up to 25% progress to Non-Alcoholic SteatoHepatitis (NASH), a severe form of the disease that involves inflammation and ... ...

    Abstract Non-Alcoholic Fatty Liver Disease (NAFLD) is a progressive liver disease that affects up to 30% of worldwide population, of which up to 25% progress to Non-Alcoholic SteatoHepatitis (NASH), a severe form of the disease that involves inflammation and predisposes the patient to liver cirrhosis. Despite its epidemic proportions, there is no reliable diagnostics that generalizes to global patient population for distinguishing NASH from NAFLD. We performed a comprehensive multicohort analysis of publicly available transcriptome data of liver biopsies from Healthy Controls (HC), NAFLD and NASH patients. Altogether we analyzed 812 samples from 12 different datasets across 7 countries, encompassing real world patient heterogeneity. We used 7 datasets for discovery and 5 datasets were held-out for independent validation. Altogether we identified 130 genes significantly differentially expressed in NASH versus a mixed group of NAFLD and HC. We show that our signature is not driven by one particular group (NAFLD or HC) and reflects true biological signal. Using a forward search we were able to downselect to a parsimonious set of 19 mRNA signature with mean AUROC of 0.98 in discovery and 0.79 in independent validation. Methods for consistent diagnosis of NASH relative to NAFLD are urgently needed. We showed that gene expression data combined with advanced statistical methodology holds the potential to serve basis for development of such diagnostic tests for the unmet clinical need.
    MeSH term(s) Biomarkers/analysis ; Case-Control Studies ; Computational Biology/methods ; Diagnosis, Differential ; Gene Expression Profiling ; Gene Regulatory Networks ; Humans ; Liver Cirrhosis/diagnosis ; Liver Cirrhosis/genetics ; Non-alcoholic Fatty Liver Disease/diagnosis ; Non-alcoholic Fatty Liver Disease/genetics
    Chemical Substances Biomarkers
    Language English
    Publishing date 2022-02-16
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-022-06512-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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