T-cell counts in response to acute cardiorespiratory or resistance exercise in physically active or physically inactive older adults: a randomized crossover study.

T cells often undergo age-related changes, which may be offset by regular exercise training. However, the majority of literature is derived from cardiorespiratory exercise studies. The purpose of this study was to examine the effects of acute cardiorespiratory exercise and acute resistance exercise on the T-cell response among physically active (PA) older adults compared with physically inactive (PI) older adults. Twenty-four healthy older adults [PA n = 12; PI n = 12; means ± SD; age (years) PA 62 ± 5, PI 64 ± 5; body mass index (BMI; kg/m2) PA 23.9 ± 3.0, PI 25.6 ± 3.5] completed one bout each of matched intensity cardiorespiratory exercise and resistance exercise in a randomized order. Blood samples drawn preexercise, postexercise, and 1 h postexercise (recovery) were analyzed by flow cytometry for T cells and T-cell subsets. Resistance exercise mobilized more T-cell subsets in PI (10 of the measured types, including total T cells; CD45RA+ CD62L+, CD45RA- CD62L+, CD45RA- CD62L-, and CD45RA+ CD62L- T cells), whereas cardiorespiratory exercise mobilized more subsets in PA (CD45RA+ CD62L- and CD57+ CD45RA+ CD62L- CD4+ T cells). Both cardiorespiratory exercise and resistance exercise elicited a significant (P < 0.05) mobilization of highly differentiated (CD45RA+ CD62L-; CD57+ CD45RA+ CD62L-) CD8+ T cells into the circulation postexercise in both PA and PI groups. Furthermore, cardiorespiratory exercise resulted in a decrease in the number of circulating Th17 cells postexercise, whereas resistance exercise increased Th17 cell mobilization compared with the cardiorespiratory exercise response. There are differences between cardiorespiratory exercise and resistance exercise on the immune responses of T cells, particularly in PI individuals. This research study was registered at clinicaltrials.gov NCT03794050. NEW & NOTEWORTHY A bout of resistance exercise did not elicit the same T-cell responses as a bout of walking on a treadmill, and the response was also not the same for people who participate in regular exercise compared with those who do not. Although there were several similarities, these potential differences underscore the importance of careful selection of exercise protocol based on the population studied and the desired T-cell response to exercise outcome.

Physical activity during the SARS-CoV-2 pandemic is linked to better mood and emotion.

The SARS-CoV-2 pandemic may negatively impact mood and emotion. Physical activity may protect against mood disturbance and promote positive affect. This study asked if physical activity before, during, or the change in physical activity with the pandemic, impacted affect and mood during the pandemic. US adult residents (18-74 years; N = 338) were surveyed from 29 April to 3 June 2020. Physical activity before and during the pandemic was assessed with the Physical Activity Rating survey. The Positive and Negative Affect Schedule measured affect and the Profile of Moods Questionnaire assessed mood. Comparisons between physically inactive and active participants by Analysis of Covariance found greater vigour in participants classed as physically active before the pandemic. Positive affect, vigour and esteem-related affect were greater in participants physically active during the pandemic. Multiple linear regression revealed relationships between the change in physical activity and mood. Change in physical activity positively associated with positive affect (b = 1.06), esteem-related affect (b = 0.33) and vigour (b = 0.53), and negatively associated with negative affect (b = -0.47), total mood disturbance (b = -2.60), tension (b = -0.31), anger (b = -0.24), fatigue (b = -0.54), depression (b = -0.50) and confusion (b = -0.23). These data demonstrate that physical activity during the pandemic, and increased physical activity relative to before the pandemic, related to better mood.

Marine soundscape variation reveals insights into baleen whales and their environment: a case study in central New Zealand.

Baleen whales reliably produce stereotyped vocalizations, enabling their spatio-temporal distributions to be inferred from acoustic detections. Soundscape analysis provides an integrated approach whereby vocal species, such as baleen whales, are sampled holistically with other acoustic contributors to their environment. Acoustic elements that occur concurrently in space, time and/or frequency can indicate overlaps between free-ranging species and potential stressors. Such information can inform risk assessment framework models. Here, we demonstrate the utility of soundscape monitoring in central New Zealand, an area of high cetacean diversity where potential threats are poorly understood. Pygmy blue whale calls were abundant in the South Taranaki Bight (STB) throughout recording periods and were also detected near Kaikoura during autumn. Humpback, Antarctic blue and Antarctic minke whales were detected in winter and spring, during migration. Wind, rain, tidal and wave activity increased ambient sound levels in both deep- and shallow-water environments across a broad range of frequencies, including those used by baleen whales, and sound from shipping, seismic surveys and earthquakes overlapped in time, space and frequency with whale calls. The results highlight the feasibility of soundscape analysis to quantify and understand potential stressors to free-ranging species, which is essential for conservation and management decisions.

Deep-diving beaked whales dive together but forage apart.

Echolocating animals that forage in social groups can potentially benefit from eavesdropping on other group members, cooperative foraging or social defence, but may also face problems of acoustic interference and intra-group competition for prey. Here, we investigate these potential trade-offs of sociality for extreme deep-diving Blainville's and Cuvier's beaked whales. These species perform highly synchronous group dives as a presumed predator-avoidance behaviour, but the benefits and costs of this on foraging have not been investigated. We show that group members could hear their companions for a median of at least 91% of the vocal foraging phase of their dives. This enables whales to coordinate their mean travel direction despite differing individual headings as they pursue prey on a minute-by-minute basis. While beaked whales coordinate their echolocation-based foraging periods tightly, individual click and buzz rates are both independent of the number of whales in the group. Thus, their foraging performance is not affected by intra-group competition or interference from group members, and they do not seem to capitalize directly on eavesdropping on the echoes produced by the echolocation clicks of their companions. We conclude that the close diving and vocal synchronization of beaked whale groups that quantitatively reduces predation risk has little impact on foraging performance.

Migratory insights from singing humpback whales recorded around central New Zealand.

The migration routes of wide-ranging species can be difficult to study, particularly at sea. In the western South Pacific, migratory routes of humpback whales between breeding and feeding areas are unclear. Male humpback whales sing a population-specific song, which can be used to match singers on migration to a breeding population. To investigate migratory routes and breeding area connections, passive acoustic recorders were deployed in the central New Zealand migratory corridor (2016); recorded humpback whale song was compared to song from the closest breeding populations of East Australia and New Caledonia (2015-2017). Singing northbound whales migrated past New Zealand from June to August via the east coast of the South Island and Cook Strait. Few song detections were made along the east coast of the North Island. New Zealand song matched New Caledonia song, suggesting a migratory destination, but connectivity to East Australia could not be ruled out. Two song types were present in New Zealand, illustrating the potential for easterly song transmission from East Australia to New Caledonia in this shared migratory corridor. This study enhances our understanding of western South Pacific humpback whale breeding population connectivity, and provides novel insights into the dynamic transmission of song culture.

Spatio-temporal variation in click production rates of beaked whales: Implications for passive acoustic density estimation.

Passive acoustic monitoring has become an increasingly prevalent tool for estimating density of marine mammals, such as beaked whales, which vocalize often but are difficult to survey visually. Counts of acoustic cues (e.g., vocalizations), when corrected for detection probability, can be translated into animal density estimates by applying an individual cue production rate multiplier. It is essential to understand variation in these rates to avoid biased estimates. The most direct way to measure cue production rate is with animal-mounted acoustic recorders. This study utilized data from sound recording tags deployed on Blainville's (Mesoplodon densirostris, 19 deployments) and Cuvier's (Ziphius cavirostris, 16 deployments) beaked whales, in two locations per species, to explore spatial and temporal variation in click production rates. No spatial or temporal variation was detected within the average click production rate of Blainville's beaked whales when calculated over dive cycles (including silent periods between dives); however, spatial variation was detected when averaged only over vocal periods. Cuvier's beaked whales exhibited significant spatial and temporal variation in click production rates within vocal periods and when silent periods were included. This evidence of variation emphasizes the need to utilize appropriate cue production rates when estimating density from passive acoustic data.