Genomic surveillance and sequencing of SARS-CoV-2 across South America / Vigilancia genómica y secuenciación del SARS-CoV-2 en América del Sur / Vigilância genômica e sequenciamento do SARS-CoV-2 na América do Sul

ABSTRACT After 2 years of the COVID-19 pandemic, the protocols used to control infection lack attention and analysis. We present data about deposits of complete genomic sequences of SARS-CoV-2 in the Global Initiative on Sharing All Influenza Data (GISAID) database made between January 2021 and May 31, 2022. We build the distribution profile of SARS-CoV-2 variants across South America, highlighting the contribution and influence of each variant over time. Monitoring the genomic sequences in GISAID illustrates negligence in the follow up of infected patients in South America and also the discrepancies between the number of complete genomes deposited throughout the pandemic by developed and developing countries. While Europe and North America account for more than 9 million of the genomes deposited in GISAID, Africa and South America deposited less than 400 000 genome sequences. Genomic surveillance is important for detecting early warning signs of new circulating viruses, assisting in the discovery of new variants and controlling pandemics.

RESUMEN Tras dos años de pandemia del COVID-19, los protocolos empleados para controlar la infección carecen de atención y análisis. En este artículo se presentan datos sobre depósitos de secuencias genómicas completas del SARS-CoV-2 en la base de datos de secuenciación GISAID, la Iniciativa mundial para intercambiar todos los datos sobre la gripe aviar, realizadas entre enero del 2021 y el 31 de mayo del 2022. Se creó el perfil de distribución de las variantes del SARS-CoV-2 en América del Sur, en el que se destacaron la contribución y la influencia de cada variante a lo largo del tiempo. El monitoreo de las secuencias genómicas en GISAID ilustra la negligencia en el seguimiento de los pacientes infectados en América del Sur, así como las discrepancias entre el número de genomas completos depositados a lo largo de la pandemia por parte de los países desarrollados y los países en desarrollo. Mientras que Europa y América del Norte han depositado más de 9 millones de genomas en GISAID, África y América del Sur han aportado menos de 400 000 secuencias genómicas. La vigilancia genómica es importante para detectar los primeros signos de alerta de virus nuevos en circulación, ayudar en el descubrimiento de nuevas variantes y controlar las pandemias.

RESUMO Após 2 anos da pandemia de covid-19, os protocolos usados para controlar a infecção necessitam maior atenção e análise. Apresentamos dados sobre as sequências genômicas completas do SARS-CoV-2 depositadas no banco de dados do a iniciativa internacional para o intercâmbio de dados sobre os vírus da influenza (GISAID) entre janeiro de 2021 e 31 de maio de 2022. Construímos o perfil de distribuição das variantes do SARS-CoV-2 na América do Sul, destacando a contribuição e a influência de cada variante ao longo do tempo. O monitoramento das sequências genômicas do GISAID ilustra a negligência no acompanhamento de pacientes infectados na América do Sul e as discrepâncias entre os países desenvolvidos e em desenvolvimento com relação ao número de genomas completos depositados ao longo da pandemia. Enquanto a Europa e a América do Norte respondem por mais de 9 milhões dos genomas depositados no GISAID, a África e a América do Sul depositaram menos de 400 000 sequências genômicas. A vigilância genômica é importante para detectar sinais de alerta precoces de novos vírus circulantes, auxiliar na descoberta de novas variantes e controlar pandemias.

Heart rate response to graded exercise test of elderly subjects in different ranges of TSH levels

ABSTRACT Objective: Life expectancy is increasing worldwide and studies have been demonstrating that elevated serum thyroid stimulating hormone (TSH) concentration in elderly is associated with some better health outcomes. This elevation is somewhat physiological as aging. The aim of this study was to investigate the heart rate (HR) response during a graded exercise test and its recovery in healthy elderly, comparing subjects within serum TSH in the lower limit of reference range to those within the TSH in the upper limit. Subjects and methods: A cross-sectional study was conducted with 86 healthy elderly aged 71.5 ± 5.1 years, with serum TSH between 0.4 - 4.0 mUl/mL. The participants were divided into two groups according to TSH level: < 1.0 mUl/mL (n = 13) and ≥ 1.0 µUI/mL (n = 73). All participants performed an ergometric test on a treadmill. The HR was recorded and analyzed at rest, during exercise and during the three minutes immediately after exercise. Results: No differences were observed in relation to HR at peak of exercise (TSH < 1.0 µUI/mL: 133.9 ± 22.5 bpm vs. TSH ≥ 1.0 µUI/mL: 132.4 ± 21.3 bpm; p = 0.70) and during the first minute of recovery phase (TSH < 1.0 µUI/mL: 122.3 ± 23.1 bpm vs. TSH ≥ 1.0 µUI/mL: 115.7 ± 18.4 bpm p = 0.33). The groups also presented similar chronotropic index (TSH < 1.0 µUI/mL: 78.1 ± 30.6 vs. TSH ≥ 1.0 µUI/mL: 79.5 ± 26.4; p = 0.74). Conclusion: In this sample studied, there were no difference between lower and upper TSH level concerning HR response during rest, peak of exercise and exercise recovery.

Does low serum TSH within the normal range have negative impact on physical exercise capacity and quality of life of healthy elderly people?

Objective Investigate the differences in cardiopulmonary (CP) capacity and Quality of Life (QOL) between healthy elderly (≥ 65 years) with different TSH levels (< 1.0 and ≥ 1.0 μIU/mL) both within the normal range. Also, evaluate the effects of TSH elevation on CP test and QOL, by administering methimazole to subjects with initial lower-normal TSH, in order to elevate it to superior-normal limit. Materials and methods Initially, a cross-sectional study was performed to compare CP capacity at peak exercise and QOL (using WHOQOL-OLD questionnaire) between healthy seniors (age ≥ 65 years) with TSH < 1.0 μIU/mL vs. TSH ≥1.0 μIU/mL. In the second phase, participants with TSH < 1.0 μIU/mL were included in a non-controlled-prospective-interventional study to investigate the effect of TSH elevation, using methimazole, on QOL and CP capacity at peak exercise. Results From 89 elderly evaluated, 75 had TSH ≥ 1 μIU/mL and 14 TSH < 1 μIU/mL. The two groups had similar basal clinical characteristics. No difference in WHOQOL-OLD scores was observed between groups and they did not differ in terms of CP function at peak exercise. QOL and CP variables were not correlated with TSH levels. Twelve of 14 participants with TSH < 1.0 μIU/mL entered in the prospective study. After one year, no significant differences in clinical caracteristics, QOL, and CP variables were detected in paired analysis before and after methimazole intervention. Conclusions We found no differences in CP capacity and QOL between health elderly with different TSH levels within normal range and no impact after one year of methimazole treatment. More prospective-controlled-randomized studies are necessary to confirm or not the possible harm effect in normal low TSH.