69 research outputs found

    Neuropeptide Receptor Transcriptome Reveals Unidentified Neuroendocrine Pathways

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    Neuropeptides are an important class of molecules involved in diverse aspects of metazoan development and homeostasis. Insects are ideal model systems to investigate neuropeptide functions, and the major focus of insect neuropeptide research in the last decade has been on the identification of their receptors. Despite these vigorous efforts, receptors for some key neuropeptides in insect development such as prothoracicotropic hormone, eclosion hormone and allatotropin (AT), remain undefined. In this paper, we report the comprehensive cloning of neuropeptide G protein-coupled receptors from the silkworm, Bombyx mori, and systematic analyses of their expression. Based on the expression patterns of orphan receptors, we identified the long-sought receptor for AT, which is thought to stimulate juvenile hormone biosynthesis in the corpora allata (CA). Surprisingly, however, the AT receptor was not highly expressed in the CA, but instead was predominantly transcribed in the corpora cardiaca (CC), an organ adjacent to the CA. Indeed, by using a reverse-physiological approach, we purified and characterized novel allatoregulatory peptides produced in AT receptor-expressing CC cells, which may indirectly mediate AT activity on the CA. All of the above findings confirm the effectiveness of a systematic analysis of the receptor transcriptome, not only in characterizing orphan receptors, but also in identifying novel players and hidden mechanisms in important biological processes. This work illustrates how using a combinatorial approach employing bioinformatic, molecular, biochemical and physiological methods can help solve recalcitrant problems in neuropeptide research

    Physical activity and depression in adolescents: cross-sectional findings from the ALSPAC cohort

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    Purpose: Few studies have examined the association between physical activity (PA), measured objectively, and adolescent depressive symptoms. The aim of this study was to determine whether there is an association between objective measures of PA (total PA and time spent in moderate and vigorous PA (MVPA)) and adolescent depressive symptoms. Methods: Data on 2,951 adolescents participating in ALSPAC were used. Depressive symptoms were measured using the self-report Mood and Feelings Questionnaire (MFQ) (short version). Measures of PA were based on accelerometry. The association between PA and MFQ scores was modelled using ordinal regression. Results: Adolescents who were more physically active (total PA or minutes of MVPA) had a reduced odds of depressive symptoms [ORadj total PA (tertiles): medium 0.82 (95% CI: 0.69, 0.97); high 0.69 (95% CI: 0.57, 0.83)]; ORadj per 15 min MVPA: 0.92 (95% CI: 0.86, 0.98). In a multivariable model including both total PA and the percentage of time spent in MVPA, total PA was associated with depressive symptoms (ORadj total PA (tertiles): medium 0.82 (95% CI: 0.70, 0.98); high 0.70 (95% CI: 0.58, 0.85) but the percentage of time spent in MVPA was not independently associated with depressive symptoms [ORadj MVPA (tertiles) medium 1.05 (95% CI: 0.88, 1.24), high 0.91 (95% CI: 0.77, 1.09)]. Conclusions: The total amount of PA undertaken was associated with adolescent depressive symptoms, but the amount of time spent in MVPA, once total PA was accounted for, was not. If confirmed in longitudinal studies and randomised controlled trials, this would have important implications for public health messages.Nicola J. Wiles, Anne M. Haase, Debbie A. Lawlor, Andy Ness, Glyn Lewi

    Training Load and Fatigue Marker Associations with Injury and Illness: A Systematic Review of Longitudinal Studies

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    The immunology and genetics of resistance of sheep to Teladorsagia circumcincta

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    Neural Correlates of Motor Vigour and Motor Urgency During Exercise

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    Increasing physical activity in stroke survivors using STARFISH, an interactive mobile phone application: a pilot study

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    Background: Following stroke, people are generally less active and more sedentary which can worsen outcomes. Mobile phone applications (apps) can support change in health behaviours. We developed STARFISH, a mobile phone app-based intervention, which incorporates evidence-based behaviour change techniques (feedback, self-monitoring and social support), in which users’ physical activity is visualised by fish swimming. Objective: To evaluate the potential effectiveness of STARFISH in stroke survivors. Method: Twenty three people with stroke (12 women; age: 56.0 ± 10.0 years, time since stroke: 4.2 ± 4.0 years) from support groups in Glasgow completed the study. Participants were sequentially allocated in a 2:1 ratio to intervention (n=15) or control (n=8) groups. The intervention group followed the STARFISH programme for six weeks; the control group received usual care. Outcome measures included physical activity, sedentary time, heart rate, blood pressure, body mass index, Fatigue Severity Scale, Instrumental Activity of Daily Living Scale, Ten Metre Walk Test, Stroke Specific Quality of Life Scale, Psychological General Well-Being Index. Results: The average daily step count increased by 39.3% (4158 to 5791 steps/day) in the intervention group and reduced by 20.2% (3694 to 2947 steps/day) in the control group (p=0.005 for group-time interaction). Similar patterns of data and group-time interaction were seen for walking time (p=0.002) and fatigue (p= 0.003). There were no significant group-time interactions for other outcome measures. Conclusion: Use of STARFISH has the potential to improve physical activity and health outcomes in people after stroke and longer term intervention trials are warranted
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