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Mulenga H, Musvosvi M, Mendelsohn SC, Penn-Nicholson A, Kimbung Mbandi S, Gartland AF, Tameris M, Mabwe S, Africa H, Bilek N, Kafaar F, Khader SA, Carstens B, Hadley K, Hikuam C, Erasmus M, Jaxa L, Raphela R, Nombida O, Kaskar M, Nicol MP, Mbhele S, Van Heerden J, Innes C, Brumskine W, Hiemstra A, Malherbe ST, Hassan-Moosa R, Walzl G, Naidoo K, Churchyard G, Hatherill M, Scriba TJ. Longitudinal Dynamics of a Blood Transcriptomic Signature of Tuberculosis. Am J Respir Crit Care Med 2021; 204:1463-1472. [PMID: 34520313 PMCID: PMC8865716 DOI: 10.1164/rccm.202103-0548oc] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Rationale Performance of blood transcriptomic tuberculosis (TB) signatures in longitudinal studies and effects of TB-preventive therapy and coinfection with HIV or respiratory organisms on transcriptomic signatures has not been systematically studied. Objectives We evaluated longitudinal kinetics of an 11-gene blood transcriptomic TB signature, RISK11, and effects of TB-preventive therapy (TPT) and respiratory organisms on RISK11 signature score, in HIV-uninfected and HIV-infected individuals. Methods RISK11 was measured in a longitudinal study of RISK11-guided TPT in HIV-uninfected adults, a cross-sectional respiratory organisms cohort, or a longitudinal study in people living with HIV (PLHIV). HIV-uninfected RISK11+ participants were randomized to TPT or no TPT; RISK11− participants received no TPT. PLHIV received standard-of-care antiretroviral therapy and TPT. In the cross-sectional respiratory organisms cohort, viruses and bacteria in nasopharyngeal and oropharyngeal swabs were quantified by real-time quantitative PCR. Measurements and Main Results RISK11+ status was transient in most of the 128 HIV-negative participants with longitudinal samples; more than 70% of RISK11+ participants reverted to RISK11− by 3 months, irrespective of TPT. By comparison, reversion from a RISK11+ state was less common in 645 PLHIV (42.1%). Non-HIV viral and nontuberculous bacterial organisms were detected in 7.2% and 38.9% of the 1,000 respiratory organisms cohort participants, respectively, and among those investigated for TB, 3.8% had prevalent disease. Median RISK11 scores (%) were higher in participants with viral organisms alone (46.7%), viral and bacterial organisms (42.8%), or prevalent TB (85.7%) than those with bacterial organisms other than TB (13.4%) or no organisms (14.2%). RISK11 could not discriminate between prevalent TB and viral organisms. Conclusions Positive RISK11 signature status is often transient, possibly due to intercurrent viral infection, highlighting potentially important challenges for implementation of these biomarkers as new tools for TB control.
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Affiliation(s)
- Humphrey Mulenga
- University of Cape Town Faculty of Health Sciences, 63726, Pathology, Observatory, South Africa
| | - Munyaradzi Musvosvi
- University of Cape Town, Institute of Infectious Diseases and Molecular Medicine, Observatory, South Africa
| | - Simon C Mendelsohn
- University of Cape Town, 37716, South African Tuberculosis Vaccine Initiative, Cape Town, South Africa
| | - Adam Penn-Nicholson
- University of Cape Town Faculty of Health Sciences, 63726, South Africa Tuberculosis Vaccines Initiative (SATVI), Cape Town, South Africa
| | - Stanley Kimbung Mbandi
- University of Cape Town Faculty of Health Sciences, 63726, South Africa Tuberculosis Vaccines Initiative (SATVI), Cape Town, South Africa
| | - Andrew-Fiore Gartland
- Fred Hutchinson Cancer Research Center, 7286, Vaccine and Infectious Disease Division, Seattle, Washington, United States
| | | | - Simbarashe Mabwe
- University of Cape Town Faculty of Health Sciences, 63726, South African Tuberculosis Vaccine Initiative, Observatory, Cape Town, South Africa
| | - Hadn Africa
- University of Cape Town, South African Tuberculosis Vaccine Initiative, Cape Town, South Africa
| | - Nicole Bilek
- University of Cape Town Faculty of Health Sciences, 63726, South African Tuberculosis Vaccine Initiative, Observatory, Cape Town, South Africa
| | - Fazlin Kafaar
- University of Cape Town Faculty of Health Sciences, 63726, South Africa Tuberculosis Vaccines Initiative (SATVI), Cape Town, South Africa
| | | | - Balie Carstens
- University of Cape Town Faculty of Health Sciences, 63726, South Africa Tuberculosis Vaccines Initiative (SATVI), Cape Town, South Africa
| | - Katie Hadley
- University of Cape Town Faculty of Health Sciences, 63726, South Africa Tuberculosis Vaccines Initiative (SATVI), Cape Town, South Africa
| | - Chris Hikuam
- University of Cape Town Faculty of Health Sciences, 63726, South Africa Tuberculosis Vaccines Initiative (SATVI), Cape Town, South Africa
| | - Mzwandile Erasmus
- University of Cape Town Faculty of Health Sciences, 63726, South African Tuberculosis Vaccine Initiative, Observatory, Cape Town, South Africa
| | - Lungisa Jaxa
- University of Cape Town Faculty of Health Sciences, 63726, South Africa Tuberculosis Vaccines Initiative (SATVI), Cape Town, South Africa
| | - Rodney Raphela
- University of Cape Town Faculty of Health Sciences, 63726, South Africa Tuberculosis Vaccines Initiative (SATVI), Cape Town, South Africa
| | - Onke Nombida
- University of Cape Town Faculty of Health Sciences, 63726, South Africa Tuberculosis Vaccines Initiative (SATVI), Cape Town, South Africa
| | - Masooda Kaskar
- University of Cape Town Faculty of Health Sciences, 63726, South Africa Tuberculosis Vaccines Initiative (SATVI), Cape Town, South Africa
| | - Mark P Nicol
- University of Capetown, Pediatrics & Child Health, Cape Town, South Africa
| | - Slindile Mbhele
- University of Capetown, Pediatrics & Child Health, Cape Town, South Africa
| | - Judi Van Heerden
- University of Capetown, Pediatrics & Child Health, Cape Town, South Africa
| | - Craig Innes
- The Aurum Institute for Health Research, 72030, Parktown, South Africa
| | - William Brumskine
- The Aurum Institute for Health Research, 72030, Parktown, South Africa
| | - Andriëtte Hiemstra
- 7DST/NRF Centre of Excellence for Biomedical TB Research and SAMRC Centre for TB Research, Division of Molecular Biology and Human Genetics, Stellenbosch, South Africa
| | | | | | | | | | | | | | - Thomas J Scriba
- University of Cape Town, Institute of Infectious Diseases and Molecular Medicine, Observatory, South Africa;
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Luig H, Bartella R, Carstens B, Domovitz S, Reuter R, Emrich D, Facorro L, Schicha H, Graf M, Karsch KR, Rentrop P, Kreuzer H. [The determination of the left ventrical volume curve without background correction and its validation by direct intercomparison with the ejection fractions as determined by biplane laevocardiography (author's transl)]. Nuklearmedizin 1979; 18:120-4. [PMID: 503868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Background corrections applied on the left ventricular volume curve determined by the "gated blood pool"--method are based on an estimated rather than on a directly measured background. This imposes an uncertainty on the values determined from the volume curve, especially on the ejection fraction. A method which does not require background correction may be applied if all available measurement and evaluation facilities are utilized fully. High temporal and spatial resolution is of fundamental importance, permitting the exact determination of the time-dependent scintigraphic contour variations of the left ventricle during the mechanical action of the heart. A good criterion of the validity of the volume curves with respect to interfering background radiation is the ejection fraction calculated from these curves. The direct intercomparison of 10 ejection fractions obtained by an expanded "gated blood pool"-method, employing cardiac catheterization, immediately before a biplane laevocardiography demonstrated very good agreement. A small systematic underestimation of the ejection fraction by the nuclear method was observed. This understimulation shows that the influence of the true background is small if other interfering count rate contributions or methodical uncertainties are excluded systematically.
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Bartella R, Carstens B, Domovitz S, Reuter R, Emrich D, Facorro L, Schicha H, Graf M, Karsch K, Rentrop P, Kreuzer H, Luig H. Nuklearmedizinische Bestimmung linksventrikulärer Volumenkurven ohne Untergrundkorrektur. Nuklearmedizin 1979. [DOI: 10.1055/s-0037-1620886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
ZusammenfassungUntergrundkorrekturen bei der Bestimmung von Volumenkurven des linken Ventrikels nach der "gated blood pool"-Me- thode weisen eine wesentliche methodische Schwäche auf, da der Anteil des Untergrundes an den Zählraten aus meßtechnischen Gründen nicht bestimmt werden kann, sondern abgeschätzt werden muß. Der Verzicht auf eine Untergrundkorrektur ist möglich, wenn alle meßtechnischen und auswertetechnischen Möglichkeiten genutzt werden. Wichtig sind insbesondere eine hohe zeitliche und örtliche Auflösung mit der Möglichkeit, die während der mechanischen Herzaktion variablen szintigraphischen Ventrikelkonturen genau zu ermitteln und zu berücksichtigen. Ein gutes Kriterium für die Güte der Volumenkurven unter dem Gesichtspunkt störender Untergrundstrahlung ist die aus ihnen errechnete Auswurffraktion. Der direkte Vergleich von zehn Auswurffraktionen, die unmittelbar vor einer biplanen Laevokardiographie durch eine entsprechend erweiterte "gated blood pool"-Methode im Herzkatheterlabor bestimmt wurden, ergab eine sehr gute übereinstimmung. Eine geringfügige systematische Unterschätzung der nuklearmedizinischen Auswurffraktionen von wenigen Prozent wurde beobachtet. Diese Unterschätzung zeigt an, daß der Einfluß des wahren Untergrundes gering ist, wenn andere störende Zählratenbeiträge oder Ungenauigkeiten methodisch ausgeschlossen sind.
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