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1.
Braz J Microbiol ; 53(2): 633-639, 2022 Jun.
Article in English | MEDLINE | ID: covidwho-1872828

ABSTRACT

Tuberculosis (TB) and COVID-19 affect the lungs and are transmitted mainly by aerosols or particles of saliva from infected persons. Clinical similarities between diseases can affect correct diagnosis. Individuals belonging to the population deprived of liberty (PDL) are at increased risk of contagion due to precarious sanitary conditions and overcrowded environments. A variety of specimens may be suitable for the diagnosis of COVID-19, using molecular diagnostic techniques; however, there is little data on the analysis of sputum samples with the Xpert Xpress SARS-CoV-2® for the diagnosis of COVID-19, especially in this population group. The present study reports a case of TB and COVID-19 co-infection detected in sputum from an individual belonging to the PDL. For the detection, it used the GeneXpert platform (Cepheid, USA). Mycobacterium tuberculosis complex (MTC) was detected using the Xpert MTB/RIF Ultra® cartridge and SARS-CoV-2 was detected using the Xpert Xpress SARS-CoV-2® cartridge. The genes IS6110 and IS1081 were detected within 80 min indicating the presence of MTC, with no mutations related to resistance to rifampicin. The SARS-CoV-2 E and N2 genes were detected within 45 min. The result was confirmed by RT-qPCR with detection of E, N, and RdRP/S genes in the sputum and nasopharyngeal (NP) specimens. Rapid diagnoses that allow the identification and differentiation of such diseases are important for adequate epidemiological surveillance, isolation of infected individuals, and interruption of the transmission chain. Using the GeneXpert platform, specimens can be tested as soon as they are received, without the need for prior preparation. The US Food and Drug Administration has issued emergency authorization for the use of the Cepheid Xpert Xpress SARS-CoV-2 for the rapid detection of SARS-CoV-2 using specimens from a NP or nasal wash/aspirate. The case presented here gains an innovation with the use of the sputum to COVID-19 diagnosis.


Subject(s)
COVID-19 , Coinfection , Mycobacterium tuberculosis , Tuberculosis , COVID-19/diagnosis , COVID-19 Testing , Coinfection/diagnosis , Humans , Molecular Diagnostic Techniques/methods , Mycobacterium tuberculosis/genetics , Rifampin , SARS-CoV-2/genetics , Sensitivity and Specificity , Sputum/microbiology , Tuberculosis/diagnosis , Tuberculosis/microbiology
2.
J Med Virol ; 94(5): 2149-2159, 2022 05.
Article in English | MEDLINE | ID: covidwho-1640751

ABSTRACT

The Santo André Regional Center from Adolfo Lutz Institute evaluated 91 537 samples by reverse transcription-polymerase chain reaction (RT-PCR) to detect severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) from March 2020 to April 2021. The age, sex, and race of patients from three cities in southeastern Brazil, namely São Bernardo do Campo (SBC), Diadema, and Mauá were assessed in association to the rate of positive results using generalized linear models. Circulating lineages were obtained from GISAID and intralineage genetic variation was investigated employing Lasergene software. A declining number of reported cases around October to November 2020 separate two epidemic waves in the three cities. Mauá differed by the highest positive RT-PCR scores in January and February. GISAID classification of 38 SARS-CoV-2 complete genomic sequences showed the circulation of lineages P.1, B.1.1.28, P.2, B.1.1.332; P.1, P.2, B.1.1.28, B.1.1.33; and P.1, P.2 in SBC, Diadema and Mauá, respectively. Intralineage variation revealed a significant amino-acid substitution in the ORF3a encoding protein (A33S) present in four out of six (67%) P.1 Mauá isolates. As ORF3a encodes a nonselective Ca2+ permeable cation channel, supposed to interfere in airway homeostasis, specific mutations could increase its pathogenic effect resulting in a higher number of symptomatic individuals explaining why the second wave was more intense in Mauá city.


Subject(s)
COVID-19 , SARS-CoV-2 , Brazil/epidemiology , COVID-19/epidemiology , Cities/epidemiology , Humans , Risk Factors , SARS-CoV-2/genetics
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