Substrate specificity of the placental microsomal aromatase

Using an accurate and sensitive assay for the human placental aromatase we have found apparent Km values for androstenedione (4-androstene-3,17-dione) and testosterone to be 14 ± 4.0 nM and 41 ± 12 nM respectively. These values were significantly different (p < 0.001). Analyses at substrate concentrations 5–10 fold above and below the Km values did not indicate any anomalous kinetic behavior. Mixed substrate experiments were consistent with a single enzyme metabolizing both steroids: each competitively inhibited the aromatization of the other, and the “Ki” values were the same as their apparent Km values. Sodium chloride (1.2M) significantly increased the rate of testosterone aromatization by decreasing its Km value and had no significant effect on the aromatization of androstenedione. However, in the presence of this salt testosterone still inhibited the aromatization of androstenedione competitively with a “Ki” equal to its apparent Km. Our data is therefore consistent with the proposal that human placental microsomes contain a single “high affinity” site for the aromatization of androstenedione and testosterone.     

Substrate and nucleotide specificity of placental microsomal 3 beta-hydroxysteroid dehydrogenase

Recent kinetic studies on the placental microsomal 3 beta-hydroxysteroid dehydrogenase have shown that apparent Km values for 3 beta-hydroxy-5-androsten-17-one (dehydroepiandrosterone) and 3 beta-hydroxy-5-pregnen-20-one (pregnenolone) are 15nM and 40nM respectively, which are orders of magnitude lower than found in earlier studies. The purpose of this study was to investigate the substrate and nucleotide specificity of the 3 beta-hydroxysteroid dehydrogenase, and the ability of various steroids to inhibit the reaction at these lower steroid concentrations. Each steroid inhibited the metabolism of the other competitively, and the Ki values obtained were not significantly different from their respective Km values. The ability of various steroids to inhibit the reaction at concentrations of 100nM was usually less than that found at micromolar concentrations. However, certain steroids showed marked inhibition. For example, estrone and estradiol-17 beta inhibit the oxidation of both substrates competitively with Ki values of between 15 and 24nM. The Km values of dehydroepiandrosterone and pregnenolone with NADP+ as cofactor are higher than those with NAD+ as cofactor and the V values are much lower. These data indicate that in human placental microsomes a single 3 beta-hydroxysteroid dehydrogenase, essentially NAD+ specific, metabolizes dehydroepiandrosterone and pregnenolone.     

The mobility gap: estimating mobility thresholds required to control SARS-CoV-2 in Canada

BACKGROUND:Nonpharmaceutical interventions remain the primary means of controlling severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) until vaccination coverage is sufficient to achieve herd immunity. We used anonymized smartphone mobility measures to quantify the mobility level needed to control SARS-CoV-2 (i.e., mobility threshold), and the difference relative to the observed mobility level (i.e., mobility gap).METHODS:We conducted a time-series study of the weekly incidence of SARS-CoV-2 in Canada from Mar. 15, 2020, to Mar. 6, 2021. The outcome was weekly growth rate, defined as the ratio of cases in a given week versus the previous week. We evaluated the effects of average time spent outside the home in the previous 3 weeks using a log-normal regression model, accounting for province, week and mean temperature. We calculated the SARS-CoV-2 mobility threshold and gap.RESULTS:Across the 51-week study period, a total of 888 751 people were infected with SARS-CoV-2. Each 10% increase in the mobility gap was associated with a 25% increase in the SARS-CoV-2 weekly case growth rate (ratio 1.25, 95% confidence interval 1.20–1.29). Compared to the prepandemic baseline mobility of 100%, the mobility threshold was highest in the summer (69%; interquartile range [IQR] 67%–70%), and dropped to 54% in winter 2021 (IQR 52%–55%); a mobility gap was present in Canada from July 2020 until the last week of December 2020.INTERPRETATION:Mobility strongly and consistently predicts weekly case growth, and low levels of mobility are needed to control SARS-CoV-2 through spring 2021. Mobility measures from anonymized smartphone data can be used to guide provincial and regional loosening and tightening of physical distancing measures.

The global toll of coronavirus disease 2019 (COVID-19) continues to grow, despite the promise of recently approved vaccines. A surge is occurring in many countries in the Northern Hemisphere, including Canada, that may take a considerable toll before vaccination is sufficiently widespread to achieve herd immunity. Nonpharmaceutical public health interventions, including physical distancing, remain the primary population-based means of controlling COVID-19.¹ Since early in the second wave, which started in September 2020, polling has suggested that most people in Canada have supported and adhered to government-directed restrictions,² and many favour strengthened measures to control community transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative viral agent of COVID-19.³SARS-CoV-2 is spread primarily through close contact with people who are infected.⁴ As with any infectious disease, contact rates are a primary driver of SARS-CoV-2 transmission.⁵ Mobility measures capturing human activity through anonymized tracking of smartphones are believed to be reasonable proxies of contact rates outside of one’s own home; these measures can provide more timely and reliable sources of information on contact rates compared with time-use surveys or contact tracing.^6–8Aggregated smartphone mobility data are provided by a number of software developers and have been used to quantify the impact of policy on mobility in Canada,⁹ the effectiveness of lockdowns aiming to reduce the spread of SARS-CoV-2^10–12 and loopholes from excessively localized measures.¹³ Mobility metrics are helpful for gauging the effect of restrictions on behaviour, but do not, on their own, show decision-makers whether restrictions in place at the time are sufficient to curtail the spread of SARS-CoV-2. In this study, we evaluated the association between smartphone mobility measures and the spread of SARS-CoV-2 in Canada, both nationally and provincially, between March 2020 and March 2021. We also sought to quantify the mobility level needed to control COVID-19 (i.e., the mobility threshold), and the difference between observed mobility levels and the threshold (i.e., the mobility gap). We hypothesized that lower mobility levels may be needed in provinces with larger urban populations in the winter compared with more rural provinces in the summer.¹⁴     

Preliminary evidence for tissue retraction as a factor in photoprotection of corals incapable of xanthophyll cycling

In a 6-h experiment where xanthophyll inter-conversion was blocked by the inhibitor dithiothreitol (DTT), corals in full sunlight showed a significant increase in oxidative damage and cnidarian antioxidant enzyme concentrations compared with controls. By comparison, antioxidant enzyme concentrations did not increase within the symbiotic algae. In addition, the normal reduction in steady state chlorophyll fluorescence (F_t) and maximum fluorescence (F_m′), in response to increased irradiance, was initially suppressed in the DTT-treated corals, but after 6 h, both parameters had reduced to levels similar to controls with a functional xanthophyll cycle. Extreme host retraction was observed in corals treated with DDT in full sunlight compared with untreated corals in full sunlight and DTT-treated corals in dim irradiance. These results suggest that the coral host is capable of using behavioural (tissue retraction) and biochemical defences (antioxidant enzymes) to protect the symbiotic algae under high natural irradiance when the xanthophyll cycle is absent. While these defences could not prevent oxidative damage, nonetheless, algal numbers and algal chlorophyll levels were not affected.