Journal of thermal biology最新文献

Effects of low temperature exposure and acclimation on the behavioural responses of the green crab (Carcinus maenas) from Newfoundland, Canada.

IF 2.9 2区生物学 Q2 BIOLOGY

Journal of thermal biology

Pub Date : 2025-02-04 DOI: 10.1016/j.jtherbio.2025.104071

Molly L Rivers, Cynthia H McKenzie, Iain J McGaw

European green crab (Carcinus maenas) are a highly successful invasive species of intertidal crustacean. The northern most limit of their invasive range on the east coast of North America is the island of Newfoundland (NL), Canada, where they can experience water temperatures as low as -1 °C during the winter. Green crabs' ability to tolerate a large temperate range is one of the most important characteristics responsible for their invasive success. We investigated the behavioural responses of the green crab to a temperature reduction regime, and long-term acclimation to winter (2 °C) and summer (12 °C) water temperatures in NL. Locomotor activity declined as temperature decreased with a concomitant increase in time spent buried, showing a marked change in these parameters at approximately 4 °C. There was also a marked reduction in activity after long-term exposure to cold temperatures (2 °C) compared to controls (12 °C). However, locomotor activity did not cease completely, even after long-term exposure to 2 °C, indicating that crabs remained responsive to their environment. Crabs took longer to respond to food items and consumed less food after long-term acclimation to 2 °C, compared to 12 °C; however feeding did not cease completely. Collectively, these responses suggest that the green crab enters a dormant state below 5 °C, rather than true torpor, in which they continue to move and feed, albeit more slowly and at lower rates. The green crab population in NL is a genetically hybridized population with both southern and cold-resistant northern haplotypes, however, they react in a similar way to most other populations across their native and invasive range and so the observed behavior may be an inherent reaction to cold.

{"title":"Effects of low temperature exposure and acclimation on the behavioural responses of the green crab (Carcinus maenas) from Newfoundland, Canada.","authors":"Molly L Rivers, Cynthia H McKenzie, Iain J McGaw","doi":"10.1016/j.jtherbio.2025.104071","DOIUrl":"https://doi.org/10.1016/j.jtherbio.2025.104071","url":null,"abstract":"<p><p>European green crab (Carcinus maenas) are a highly successful invasive species of intertidal crustacean. The northern most limit of their invasive range on the east coast of North America is the island of Newfoundland (NL), Canada, where they can experience water temperatures as low as -1 °C during the winter. Green crabs' ability to tolerate a large temperate range is one of the most important characteristics responsible for their invasive success. We investigated the behavioural responses of the green crab to a temperature reduction regime, and long-term acclimation to winter (2 °C) and summer (12 °C) water temperatures in NL. Locomotor activity declined as temperature decreased with a concomitant increase in time spent buried, showing a marked change in these parameters at approximately 4 °C. There was also a marked reduction in activity after long-term exposure to cold temperatures (2 °C) compared to controls (12 °C). However, locomotor activity did not cease completely, even after long-term exposure to 2 °C, indicating that crabs remained responsive to their environment. Crabs took longer to respond to food items and consumed less food after long-term acclimation to 2 °C, compared to 12 °C; however feeding did not cease completely. Collectively, these responses suggest that the green crab enters a dormant state below 5 °C, rather than true torpor, in which they continue to move and feed, albeit more slowly and at lower rates. The green crab population in NL is a genetically hybridized population with both southern and cold-resistant northern haplotypes, however, they react in a similar way to most other populations across their native and invasive range and so the observed behavior may be an inherent reaction to cold.</p>","PeriodicalId":17428,"journal":{"name":"Journal of thermal biology","volume":" ","pages":"104071"},"PeriodicalIF":2.9,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143523754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Acclimation effects on thermal locomotor performance of the invasive Polyphagous Shot Hole Borer beetle, Euwallacea fornicatus (Coleoptera: Curculionidae: Scolytinae)

IF 2.9 2区生物学 Q2 BIOLOGY

Journal of thermal biology

Pub Date : 2025-02-01 DOI: 10.1016/j.jtherbio.2025.104068

Madeleine Pienaar, Anandi Bierman, Francois Roets, John S. Terblanche

The Polyphagous Shot Hole Borer (PSHB; Euwallacea fornicatus, Coleoptera: Curculionidae: Scolytinae) is an invasive and destructive tree pest. To assess whether thermal acclimation influences E. fornicatus locomotion performance (i.e., induced plastic responses) that may influence invasion potential, beetles were acclimated to three temperatures (18 °C, 25 °C, and 32 °C), and four locomotion traits were measured across six temperatures (13 °C, 18 °C, 23 °C, 28 °C, 33 °C and 38 °C) per acclimation group to construct thermal performance curves, capturing critical thermal minimum (T_min), critical thermal maximum (T_max), thermal breadth (T_br), optimal performance rate (U_max). Substantial plasticity of performance curves was found in E. fornicatus. Generally, cold (18 °C) acclimation increased the thermal range of several locomotor performance traits without affecting performance levels, thereby supporting the colder-is-better hypothesis. To assess the consequences of these plastic responses, using the thermal performance curves established here, movement rates of E. fornicatus in an at-risk orchard area in South Africa were predicted across seasons while considering artificial warm and cold spells. Cold-acclimated beetles exhibited the highest cumulative distance traveled in both summer and winter, while warm-acclimated beetles had the lowest. Therefore, short-term thermal variation significantly influenced E. fornicatus locomotion performance, with cold acclimation notably improving dispersal across a wide range of thermal conditions. These findings highlight the importance of considering recent thermal history when predicting E. fornicatus invasion potential. By integrating these data with microclimatic conditions and functional models, this study offers valuable insights for predicting E. fornicatus spread, informing targeted management strategies, and refining spatially explicit risk assessments to mitigate the impacts of this invasive pest.

{"title":"Acclimation effects on thermal locomotor performance of the invasive Polyphagous Shot Hole Borer beetle, Euwallacea fornicatus (Coleoptera: Curculionidae: Scolytinae)","authors":"Madeleine Pienaar, Anandi Bierman, Francois Roets, John S. Terblanche","doi":"10.1016/j.jtherbio.2025.104068","DOIUrl":"10.1016/j.jtherbio.2025.104068","url":null,"abstract":"<div><div>The Polyphagous Shot Hole Borer (PSHB; <em>Euwallacea fornicatus,</em> Coleoptera: Curculionidae: Scolytinae) is an invasive and destructive tree pest. To assess whether thermal acclimation influences <em>E. fornicatus</em> locomotion performance (i.e., induced plastic responses) that may influence invasion potential, beetles were acclimated to three temperatures (18 °C, 25 °C, and 32 °C), and four locomotion traits were measured across six temperatures (13 °C, 18 °C, 23 °C, 28 °C, 33 °C and 38 °C) per acclimation group to construct thermal performance curves, capturing critical thermal minimum (T<sub>min</sub>), critical thermal maximum (T<sub>max</sub>), thermal breadth (T<sub>br</sub>), optimal performance rate (U<sub>max</sub>). Substantial plasticity of performance curves was found in <em>E. fornicatus</em>. Generally, cold (18 °C) acclimation increased the thermal range of several locomotor performance traits without affecting performance levels, thereby supporting the colder-is-better hypothesis. To assess the consequences of these plastic responses, using the thermal performance curves established here, movement rates of <em>E. fornicatus</em> in an at-risk orchard area in South Africa were predicted across seasons while considering artificial warm and cold spells. Cold-acclimated beetles exhibited the highest cumulative distance traveled in both summer and winter, while warm-acclimated beetles had the lowest. Therefore, short-term thermal variation significantly influenced <em>E. fornicatus</em> locomotion performance, with cold acclimation notably improving dispersal across a wide range of thermal conditions. These findings highlight the importance of considering recent thermal history when predicting <em>E. fornicatus</em> invasion potential. By integrating these data with microclimatic conditions and functional models, this study offers valuable insights for predicting <em>E. fornicatus</em> spread, informing targeted management strategies, and refining spatially explicit risk assessments to mitigate the impacts of this invasive pest.</div></div>","PeriodicalId":17428,"journal":{"name":"Journal of thermal biology","volume":"128 ","pages":"Article 104068"},"PeriodicalIF":2.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143445807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A practical deep learning model for core temperature prediction of specialized workers in high-temperature environments

IF 2.9 2区生物学 Q2 BIOLOGY

Journal of thermal biology

Pub Date : 2025-02-01 DOI: 10.1016/j.jtherbio.2025.104079

Xinge Han , Jiansong Wu , Zhuqiang Hu , Chuan Li , Xiaofeng Hu

The health issues of hazardous operations in high-temperature environments are increasing concerns to the public, especially since global warming and extreme weather conditions have made the high-temperature work more frequent and harsher. The abnormal elevation of human core temperature (T_cr) due to high temperatures directly leads to a decline in physiological functions and may trigger various heat-related health issues, which is especially threatening for those working in such conditions. However, continuous real-time T_cr monitoring and prediction are challenging, particularly considering the hazardous operations in extremely hot environments. To address this problem, a non-invasive T_cr prediction model combining a Kalman filter and a long-term sequence forecasting deep learning model was developed. This model leverages monitored skin temperature (T_sk) and heart rate (HR) as input features, enabling personalized real-time T_cr predictions for various groups of specialized operations personnel. The model's accuracy was validated using the data from a series of chamber experiments with 13 participants under ambient temperatures ranging from 34 to 40 °C and T_cr range of 37–39 °C. The optimal prediction results, evaluated by the test set using seven-point T_sk combined with HR, obtain a MAE value of 0.07, a RMSE value of 0.09, and a R² value of 0.93. Additionally, the errors of 95% of all T_cr predictions fell within ±0.17 °C. The proposed model has the advantage of requiring simple input parameters/features and producing high-accuracy predictions, which makes it a practical tool for health monitoring and protection of hazardous operations in high-temperature environments.

{"title":"A practical deep learning model for core temperature prediction of specialized workers in high-temperature environments","authors":"Xinge Han , Jiansong Wu , Zhuqiang Hu , Chuan Li , Xiaofeng Hu","doi":"10.1016/j.jtherbio.2025.104079","DOIUrl":"10.1016/j.jtherbio.2025.104079","url":null,"abstract":"<div><div>The health issues of hazardous operations in high-temperature environments are increasing concerns to the public, especially since global warming and extreme weather conditions have made the high-temperature work more frequent and harsher. The abnormal elevation of human core temperature (T<sub>cr</sub>) due to high temperatures directly leads to a decline in physiological functions and may trigger various heat-related health issues, which is especially threatening for those working in such conditions. However, continuous real-time T<sub>cr</sub> monitoring and prediction are challenging, particularly considering the hazardous operations in extremely hot environments. To address this problem, a non-invasive T<sub>cr</sub> prediction model combining a Kalman filter and a long-term sequence forecasting deep learning model was developed. This model leverages monitored skin temperature (T<sub>sk</sub>) and heart rate (HR) as input features, enabling personalized real-time T<sub>cr</sub> predictions for various groups of specialized operations personnel. The model's accuracy was validated using the data from a series of chamber experiments with 13 participants under ambient temperatures ranging from 34 to 40 °C and T<sub>cr</sub> range of 37–39 °C. The optimal prediction results, evaluated by the test set using seven-point T<sub>sk</sub> combined with HR, obtain a MAE value of 0.07, a RMSE value of 0.09, and a R<sup>2</sup> value of 0.93. Additionally, the errors of 95% of all T<sub>cr</sub> predictions fell within ±0.17 °C. The proposed model has the advantage of requiring simple input parameters/features and producing high-accuracy predictions, which makes it a practical tool for health monitoring and protection of hazardous operations in high-temperature environments.</div></div>","PeriodicalId":17428,"journal":{"name":"Journal of thermal biology","volume":"128 ","pages":"Article 104079"},"PeriodicalIF":2.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143430329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimizing thermal dose prediction in nanoparticle-mediated photothermal therapy using a convolutional neural network-based model

IF 2.9 2区生物学 Q2 BIOLOGY

Journal of thermal biology

Pub Date : 2025-02-01 DOI: 10.1016/j.jtherbio.2025.104076

N. Shirisha , Abhilash Sonker , Janjhyam Venkata Naga Ramesh , Taoufik Saidani , Yelisela Rajesh , Kasichainula Vydehi

Nanoparticle-mediated photothermal therapy (NMPTT) is an up-and-coming targeted cancer treatment. Here, nanoparticles are used to convert near-infrared light into localized heat that can kill tumour cells while sparing surrounding healthy tissue. Nevertheless, variability among tissue properties and distributions of nanoparticles and laser parameters decreases the effectiveness of optimal thermal dosages.

This study presents a CNN-based model for predicting the optimized thermal doses in NMPTT to effectively ablate tumours by relying on input parameters such as nanoparticle concentration, laser intensity, exposure time, and tissue characteristics.

For the dataset used to train the model, the mean squared error was 0.015, the root mean squared error was 0.122, and the mean absolute error was 0.098. The model showed a validation accuracy of 89.5% and a testing accuracy of 87.8%, thus having high predictive accuracy. Its R-squared level at 0.92 exhibits the model's strong generalizability.

The proposed method offers a robust predictive instrument for increasing the precision and safety of photothermal therapy. It, thus, provides practitioners with the means to tailor treatments for each patient. By providing reliable predictions of thermal dose to inform clinical decisions and improve therapeutic outcomes, it may help advance nanoparticle-mediated photothermal therapy.

{"title":"Optimizing thermal dose prediction in nanoparticle-mediated photothermal therapy using a convolutional neural network-based model","authors":"N. Shirisha , Abhilash Sonker , Janjhyam Venkata Naga Ramesh , Taoufik Saidani , Yelisela Rajesh , Kasichainula Vydehi","doi":"10.1016/j.jtherbio.2025.104076","DOIUrl":"10.1016/j.jtherbio.2025.104076","url":null,"abstract":"<div><div>Nanoparticle-mediated photothermal therapy (NMPTT) is an up-and-coming targeted cancer treatment. Here, nanoparticles are used to convert near-infrared light into localized heat that can kill tumour cells while sparing surrounding healthy tissue. Nevertheless, variability among tissue properties and distributions of nanoparticles and laser parameters decreases the effectiveness of optimal thermal dosages.</div><div>This study presents a CNN-based model for predicting the optimized thermal doses in NMPTT to effectively ablate tumours by relying on input parameters such as nanoparticle concentration, laser intensity, exposure time, and tissue characteristics.</div><div>For the dataset used to train the model, the mean squared error was 0.015, the root mean squared error was 0.122, and the mean absolute error was 0.098. The model showed a validation accuracy of 89.5% and a testing accuracy of 87.8%, thus having high predictive accuracy. Its R-squared level at 0.92 exhibits the model's strong generalizability.</div><div>The proposed method offers a robust predictive instrument for increasing the precision and safety of photothermal therapy. It, thus, provides practitioners with the means to tailor treatments for each patient. By providing reliable predictions of thermal dose to inform clinical decisions and improve therapeutic outcomes, it may help advance nanoparticle-mediated photothermal therapy.</div></div>","PeriodicalId":17428,"journal":{"name":"Journal of thermal biology","volume":"128 ","pages":"Article 104076"},"PeriodicalIF":2.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143512154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Thermal physiology of dung beetles exposed to ivermectin, a veterinary drug

IF 2.9 2区生物学 Q2 BIOLOGY

Journal of thermal biology

Pub Date : 2025-02-01 DOI: 10.1016/j.jtherbio.2025.104080

Andrea Esquivel-Román , Fernanda Baena-Díaz , Carlos Bustos-Segura , Ornela De Gasperin , Daniel González-Tokman

Global changes, including increasing temperatures and pesticide contamination threaten insect survival and reproduction by altering metabolism and stress responses. Of particular importance are insects that provide ecosystem services and are threatened by multiple stressors, such as dung beetles, which bury dung in forests and cattle pastures. This study investigated how elevated temperature and ivermectin, a common antiparasitic medication used in cattle that is excreted in dung, affect the thermal physiology of Euoniticellus intermedius dung beetles under controlled laboratory conditions. Our study evaluated, under laboratory conditions, the effect of the combination of high temperature and ivermectin, on heat tolerance, metabolic rate, and survival of female dung beetles E. intermedius. We found that ivermectin reduced survival at 29 °C but not at 33 °C, potentially due to heat-induced hormetic effects, which activate defense systems, protecting organisms from the effects of a second stressor, in this case, ivermectin. Ivermectin and high temperature increased metabolic rate, which could have potential negative effects on oxidative stress and longevity. Finally, critical thermal maximum was not affected by ivermectin or temperature. By impacting physiological traits and individual survival, high temperatures and pesticides may disrupt population dynamics and ecosystem services provided by dung beetles.

{"title":"Thermal physiology of dung beetles exposed to ivermectin, a veterinary drug","authors":"Andrea Esquivel-Román , Fernanda Baena-Díaz , Carlos Bustos-Segura , Ornela De Gasperin , Daniel González-Tokman","doi":"10.1016/j.jtherbio.2025.104080","DOIUrl":"10.1016/j.jtherbio.2025.104080","url":null,"abstract":"<div><div>Global changes, including increasing temperatures and pesticide contamination threaten insect survival and reproduction by altering metabolism and stress responses. Of particular importance are insects that provide ecosystem services and are threatened by multiple stressors, such as dung beetles, which bury dung in forests and cattle pastures. This study investigated how elevated temperature and ivermectin, a common antiparasitic medication used in cattle that is excreted in dung, affect the thermal physiology of <em>Euoniticellus intermedius</em> dung beetles under controlled laboratory conditions. Our study evaluated, under laboratory conditions, the effect of the combination of high temperature and ivermectin, on heat tolerance, metabolic rate, and survival of female dung beetles <em>E. intermedius</em>. We found that ivermectin reduced survival at 29 °C but not at 33 °C, potentially due to heat-induced hormetic effects, which activate defense systems, protecting organisms from the effects of a second stressor, in this case, ivermectin. Ivermectin and high temperature increased metabolic rate, which could have potential negative effects on oxidative stress and longevity. Finally, critical thermal maximum was not affected by ivermectin or temperature. By impacting physiological traits and individual survival, high temperatures and pesticides may disrupt population dynamics and ecosystem services provided by dung beetles.</div></div>","PeriodicalId":17428,"journal":{"name":"Journal of thermal biology","volume":"128 ","pages":"Article 104080"},"PeriodicalIF":2.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143437629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Impact of claw trimming on surface temperature variations across claw regions in dairy cows: Insights from infrared thermography

IF 2.9 2区生物学 Q2 BIOLOGY

Journal of thermal biology

Pub Date : 2025-02-01 DOI: 10.1016/j.jtherbio.2025.104074

Yalcin Alper Ozturan, Ibrahim Akin

Lameness in dairy cattle significantly impacts animal welfare, milk production, and farm economics, with routine claw trimming being a key preventive measure. However, its effects on claw temperatures and the potential of infrared thermography (IRT) as a diagnostic tool are not well understood. This study investigates the use of IRT to measure temperature variations in specific anatomical regions of the claw before (baseline) and post-trimming in healthy Holstein cows. A total of 108 s-parity cows were examined, and thermographic images with different temperature levels (minimum-average and maximum) were captured from solar aspect of both lateral and medial claws along with their dermis in nine defined regions. For lateral claws, in the abaxial white line, axial groove and sole apex region increased significantly in different temperature levels (P < 0.05), while the maximum temperature in the bulb region decreased (P = 0.017) post-trimming. For medial claws, significant increases in different temperature levels were found in the toe white line, abaxial white line, sole bulb junction, axial groove and sole apex regions (P < 0.05). In comparison of pre and post-trimming temperature measurements in claw regions of lateral and medial claws there were no statistically significant differences in baseline measurements (P > 0.05), whereas significant increases in different temperature levels were found in sole bulb junction, bulb, axial groove and sole apex between lateral and medial claw temperatures (P < 0.05). No significant changes were detected in dermis regions of claws (P > 0.05). These findings provide valuable reference temperatures for claw health and underscore the potential of IRT.

{"title":"Impact of claw trimming on surface temperature variations across claw regions in dairy cows: Insights from infrared thermography","authors":"Yalcin Alper Ozturan, Ibrahim Akin","doi":"10.1016/j.jtherbio.2025.104074","DOIUrl":"10.1016/j.jtherbio.2025.104074","url":null,"abstract":"<div><div>Lameness in dairy cattle significantly impacts animal welfare, milk production, and farm economics, with routine claw trimming being a key preventive measure. However, its effects on claw temperatures and the potential of infrared thermography (IRT) as a diagnostic tool are not well understood. This study investigates the use of IRT to measure temperature variations in specific anatomical regions of the claw before (baseline) and post-trimming in healthy Holstein cows. A total of 108 s-parity cows were examined, and thermographic images with different temperature levels (minimum-average and maximum) were captured from solar aspect of both lateral and medial claws along with their dermis in nine defined regions. For lateral claws, in the abaxial white line, axial groove and sole apex region increased significantly in different temperature levels (P < 0.05), while the maximum temperature in the bulb region decreased (P = 0.017) post-trimming. For medial claws, significant increases in different temperature levels were found in the toe white line, abaxial white line, sole bulb junction, axial groove and sole apex regions (P < 0.05). In comparison of pre and post-trimming temperature measurements in claw regions of lateral and medial claws there were no statistically significant differences in baseline measurements (P > 0.05), whereas significant increases in different temperature levels were found in sole bulb junction, bulb, axial groove and sole apex between lateral and medial claw temperatures (P < 0.05). No significant changes were detected in dermis regions of claws (P > 0.05). These findings provide valuable reference temperatures for claw health and underscore the potential of IRT.</div></div>","PeriodicalId":17428,"journal":{"name":"Journal of thermal biology","volume":"128 ","pages":"Article 104074"},"PeriodicalIF":2.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143430328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effect of fluid temperature on the relation and agreement between perceptual and physiological strain during simulated work in a hot environment

IF 2.9 2区生物学 Q2 BIOLOGY

Journal of thermal biology

Pub Date : 2025-02-01 DOI: 10.1016/j.jtherbio.2025.104077

Fergus K. O'Connor , Brodie J. Richards , Leonidas G. Ioannou , Glen P. Kenny

Background

Cold fluid ingestion is recommended during work to maintain hydration status and physiological function. While monitoring the physiological strain index (PSI) during work in the heat is recommended, it is logistically challenging. Subjective estimates, i.e., perceptual strain index (PeSI), are thought to reflect PSI. However, it remains unclear if cold fluid influences an individual's perception of heat strain.

Methods

Twenty young adults (10 females) performed four 15-min bouts of moderate-intensity (200 W/m²) cycling in the heat (40°C, 13% RH), each separated by 15-min rest. On separate days, participants consumed 2 boluses consisting of 5.2 g/kg of cold (0°C) or warm fluid (37.5°C) before the first and third work bout. Rectal temperature (Tc) and heart rate (HR) were recorded to calculate PSI (0–10 scale). Rating of perceived exertion (RPE) and thermal sensation (TS) were recorded to calculate PeSI (0–10 scale). Tc, HR, TS, and RPE were compared between experimental trials and across work bouts via two-way ANOVAs. Relation between PSI, PeSI and fluid temperature were evaluated via linear mixed models. Mean bias (95% limits of agreement [LoA]) between PSI and PeSI was assessed via Bland-Altman analysis.

Findings

Tc, HR, TS and RPE were not influenced by fluid temperature (P ≥ 0.09), nor was the relation between PeSI and PSI (P = 0.11). Mean bias [95% LoA] between PSI and PeSI was greater in cold (−2.1 [-5.7 – 1.5]) compared to the warm fluid condition (−1.8 [-4.8 – 1.2], P = 0.008).

Conclusion

While the relation between PeSI and PSI was not influenced by beverage temperature the agreement between measures was worsened following cold fluid ingestion.

{"title":"Effect of fluid temperature on the relation and agreement between perceptual and physiological strain during simulated work in a hot environment","authors":"Fergus K. O'Connor , Brodie J. Richards , Leonidas G. Ioannou , Glen P. Kenny","doi":"10.1016/j.jtherbio.2025.104077","DOIUrl":"10.1016/j.jtherbio.2025.104077","url":null,"abstract":"<div><h3>Background</h3><div>Cold fluid ingestion is recommended during work to maintain hydration status and physiological function. While monitoring the physiological strain index (PSI) during work in the heat is recommended, it is logistically challenging. Subjective estimates, i.e., perceptual strain index (PeSI), are thought to reflect PSI. However, it remains unclear if cold fluid influences an individual's perception of heat strain.</div></div><div><h3>Methods</h3><div>Twenty young adults (10 females) performed four 15-min bouts of moderate-intensity (200 W/m<sup>2</sup>) cycling in the heat (40°C, 13% RH), each separated by 15-min rest. On separate days, participants consumed 2 boluses consisting of 5.2 g/kg of cold (0°C) or warm fluid (37.5°C) before the first and third work bout. Rectal temperature (Tc) and heart rate (HR) were recorded to calculate PSI (0–10 scale). Rating of perceived exertion (RPE) and thermal sensation (TS) were recorded to calculate PeSI (0–10 scale). Tc, HR, TS, and RPE were compared between experimental trials and across work bouts via two-way ANOVAs. Relation between PSI, PeSI and fluid temperature were evaluated via linear mixed models. Mean bias (95% limits of agreement [LoA]) between PSI and PeSI was assessed via Bland-Altman analysis.</div></div><div><h3>Findings</h3><div>Tc, HR, TS and RPE were not influenced by fluid temperature (P ≥ 0.09), nor was the relation between PeSI and PSI (P = 0.11). Mean bias [95% LoA] between PSI and PeSI was greater in cold (−2.1 [-5.7 – 1.5]) compared to the warm fluid condition (−1.8 [-4.8 – 1.2], P = 0.008).</div></div><div><h3>Conclusion</h3><div>While the relation between PeSI and PSI was not influenced by beverage temperature the agreement between measures was worsened following cold fluid ingestion.</div></div>","PeriodicalId":17428,"journal":{"name":"Journal of thermal biology","volume":"128 ","pages":"Article 104077"},"PeriodicalIF":2.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143520716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Biophysical versus machine learning models for predicting rectal and skin temperatures in older adults

IF 2.9 2区生物学 Q2 BIOLOGY

Journal of thermal biology

Pub Date : 2025-02-01 DOI: 10.1016/j.jtherbio.2025.104078

Connor Forbes , Alberto Coccarelli , Zhiwei Xu , Robert D. Meade , Glen P. Kenny , Sebastian Binnewies , Aaron J.E. Bach

This study compares the efficacy of machine learning models to traditional biophysical models in predicting rectal (T_re) and skin (T_sk) temperatures of older adults (≥60 years) during prolonged heat exposure. Five machine learning models were trained on data using 4-fold cross validation from 162 day-long (8–9h) sessions involving 76 older adults across six environments, from thermoneutral to heatwave conditions. These models were compared to three biophysical models: the JOS-3 model, the Gagge two-node model, and an optimised two-node model. Our findings show that machine learning models, particularly ridge regression, outperformed biophysical models in prediction accuracy. The ridge regression model achieved a Root-Mean Squared Error (RMSE) of 0.27 °C for T_re, and 0.73 °C for T_sk. Among the best biophysical models, the optimised two-node model achieved an RMSE of 0.40 °C for T_re, while JOS-3 achieved an RMSE of 0.74 °C for T_sk. Of all models, ridge regression had the highest proportion of participants with T_re RMSEs within clinically meaningful thresholds at 70% (<0.3 °C) and the highest proportion for T_sk at 88% (<1.0 °C), tied with the JOS-3 model. Our results suggest machine learning models better capture the complex thermoregulatory responses of older adults during prolonged heat exposure. The study highlights machine learning models' potential for personalised heat risk assessments and real-time predictions. Future research should expand upon training datasets, incorporate more dynamic conditions, and validate models in real-world settings. Integrating these models into home-based monitoring systems or wearable devices could enhance heat management strategies for older adults.

{"title":"Biophysical versus machine learning models for predicting rectal and skin temperatures in older adults","authors":"Connor Forbes , Alberto Coccarelli , Zhiwei Xu , Robert D. Meade , Glen P. Kenny , Sebastian Binnewies , Aaron J.E. Bach","doi":"10.1016/j.jtherbio.2025.104078","DOIUrl":"10.1016/j.jtherbio.2025.104078","url":null,"abstract":"<div><div>This study compares the efficacy of machine learning models to traditional biophysical models in predicting rectal (T<sub>re</sub>) and skin (T<sub>sk</sub>) temperatures of older adults (≥60 years) during prolonged heat exposure. Five machine learning models were trained on data using 4-fold cross validation from 162 day-long (8–9h) sessions involving 76 older adults across six environments, from thermoneutral to heatwave conditions. These models were compared to three biophysical models: the JOS-3 model, the Gagge two-node model, and an optimised two-node model. Our findings show that machine learning models, particularly ridge regression, outperformed biophysical models in prediction accuracy. The ridge regression model achieved a Root-Mean Squared Error (RMSE) of 0.27 °C for T<sub>re</sub>, and 0.73 °C for T<sub>sk</sub>. Among the best biophysical models, the optimised two-node model achieved an RMSE of 0.40 °C for T<sub>re</sub>, while JOS-3 achieved an RMSE of 0.74 °C for T<sub>sk</sub>. Of all models, ridge regression had the highest proportion of participants with T<sub>re</sub> RMSEs within clinically meaningful thresholds at 70% (<0.3 °C) and the highest proportion for T<sub>sk</sub> at 88% (<1.0 °C), tied with the JOS-3 model. Our results suggest machine learning models better capture the complex thermoregulatory responses of older adults during prolonged heat exposure. The study highlights machine learning models' potential for personalised heat risk assessments and real-time predictions. Future research should expand upon training datasets, incorporate more dynamic conditions, and validate models in real-world settings. Integrating these models into home-based monitoring systems or wearable devices could enhance heat management strategies for older adults.</div></div>","PeriodicalId":17428,"journal":{"name":"Journal of thermal biology","volume":"128 ","pages":"Article 104078"},"PeriodicalIF":2.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143488131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assessing the potential for predator-prey interactions in mesofaunal arthropod communities through temperature dependence of locomotion

IF 2.9 2区生物学 Q2 BIOLOGY

Journal of thermal biology

Pub Date : 2025-02-01 DOI: 10.1016/j.jtherbio.2025.104084

Mia Vermaak , Kim Jensen , Charlene Janion-Scheepers , John S. Terblanche

Thermal performance curves (TPCs) have become an important part of the thermal biologists’ toolbox in understanding how organisms may respond to temperature variation. The aim of this study was to investigate how temperature affects the locomotion of soil arthropods (Collembola and Acari), and explore how these responses might influence the potential for predator-prey interactions under different environmental conditions. Locomotion-based thermal performance curves of four species of Acari and three species of Collembola were estimated across seven test temperatures through automated tracking of individuals. Acari (predators) generally exhibited broader thermal tolerances compared to Collembola (prey), with overlapping thermal optima observed for some species, such as Parasitus sp. and Ceratophysella cf. gibbosa. However, differences in maximum thermal limits could influence predator-prey dynamics under warmer conditions. There were no significant effects of temperature on distance traveled or maximum walking speed for most species (Folsomina sp. p = 0.21, Ceratophysella cf. gibbosa p = 0.55, Mucrosomia sp. p = 0.36), with subclass-level analyses also showing no significant effects for Acari (p = 0.6) or Collembola (p = 0.96). Among Acari, Linopodes sp. exhibited a clear TPC, peaking at 30 °C (175 mm/s), while Parasitus sp. and Ceratophysella cf. gibbosa displayed broad thermal tolerances, with the temperature at which performance is maximized (Rmax) near 20 °C and 30 °C, respectively. Among the Acari species tested, Linopodes sp. and Parasitus sp. did show typical TPCs. Among Collembola, Folsomina sp. and Ceratophysella cf. gibbosa showed typical TPCs. These sit-and-wait predators with jump escaping prey groups are likely to be poorly captured by a TPC approach, suggesting other functional traits such as feeding rates, handling times and/or digestion efficiency should be employed in the future to better characterize temperature-dependent interactions.

{"title":"Assessing the potential for predator-prey interactions in mesofaunal arthropod communities through temperature dependence of locomotion","authors":"Mia Vermaak , Kim Jensen , Charlene Janion-Scheepers , John S. Terblanche","doi":"10.1016/j.jtherbio.2025.104084","DOIUrl":"10.1016/j.jtherbio.2025.104084","url":null,"abstract":"<div><div>Thermal performance curves (TPCs) have become an important part of the thermal biologists’ toolbox in understanding how organisms may respond to temperature variation. The aim of this study was to investigate how temperature affects the locomotion of soil arthropods (Collembola and Acari), and explore how these responses might influence the potential for predator-prey interactions under different environmental conditions. Locomotion-based thermal performance curves of four species of Acari and three species of Collembola were estimated across seven test temperatures through automated tracking of individuals. Acari (predators) generally exhibited broader thermal tolerances compared to Collembola (prey), with overlapping thermal optima observed for some species, such as <em>Parasitus</em> sp. and <em>Ceratophysella</em> cf<em>. gibbosa</em>. However, differences in maximum thermal limits could influence predator-prey dynamics under warmer conditions. There were no significant effects of temperature on distance traveled or maximum walking speed for most species (<em>Folsomina</em> sp. p = 0.21, <em>Ceratophysella</em> cf. <em>gibbosa</em> p = 0.55, <em>Mucrosomia</em> sp. p = 0.36), with subclass-level analyses also showing no significant effects for Acari (p = 0.6) or Collembola (p = 0.96). Among Acari, <em>Linopodes</em> sp. exhibited a clear TPC, peaking at 30 °C (175 mm/s), while <em>Parasitus</em> sp. and <em>Ceratophysella</em> cf<em>. gibbosa</em> displayed broad thermal tolerances, with the temperature at which performance is maximized (Rmax) near 20 °C and 30 °C, respectively. Among the Acari species tested, <em>Linopodes</em> sp. and <em>Parasitus</em> sp. did show typical TPCs. Among Collembola, <em>Folsomina</em> sp. and <em>Ceratophysella</em> cf. <em>gibbosa</em> showed typical TPCs. These sit-and-wait predators with jump escaping prey groups are likely to be poorly captured by a TPC approach, suggesting other functional traits such as feeding rates, handling times and/or digestion efficiency should be employed in the future to better characterize temperature-dependent interactions.</div></div>","PeriodicalId":17428,"journal":{"name":"Journal of thermal biology","volume":"128 ","pages":"Article 104084"},"PeriodicalIF":2.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143508984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Embryonic temperature influences transcriptomic and methylation profiles in the liver of juvenile largemouth bass

IF 2.9 2区生物学 Q2 BIOLOGY

Journal of thermal biology

Pub Date : 2025-02-01 DOI: 10.1016/j.jtherbio.2025.104073

Zijie Lin , Sicheng Liang , Yekai Wei, Zhiying Cai, Genrong Zhang, Qufei Ling

Understanding the impacts of environmental conditions at early life stages on phenotypes and physiological responses to thermal variability at later stages is crucial for elucidating adaptive strategies in fish species. This study investigated the lasting effects of embryonic temperature on the growth performance, transcriptomic profiles, and CpG methylation status of juvenile largemouth bass (Micropterus salmoides) under normal and heat stress (HS) conditions. Embryos were incubated at three temperatures (22 °C, 25 °C, and 28 °C), reared at a constant 25 °C for three months, and subjected to acute HS at 37 °C. Liver samples were collected before and after HS for mRNA sequencing and reduced representation bisulfite sequencing. Significant differences in body size, body weight, condition factor, and hepatosomatic index were observed among groups. Fish hatched at 28 °C displayed a significantly higher standard length and body weight and lower hepatosomatic index than those hatched at lower temperatures. PCA analysis and Venn diagrams based on transcriptomes revealed transcriptomic response to HS differed at 28 °C while 22 and 25 °C were similar. Heat shock protein genes followed a similar trend. Epigenetic analyses revealed distinct CpG methylation patterns across incubation groups, while DNA methylation barely contributes to transcriptional differences. Under HS, different incubation groups exhibit various DNA methylation alterations. The “Neuroactive ligand-receptor interaction” pathway appeared to play an important role in the response to HS, suggesting a potential involvement of epigenetic regulation. Additionally, the atrnl1 gene may be involved in a DNA methylation-mediated regulatory mechanism in response to HS.

{"title":"Embryonic temperature influences transcriptomic and methylation profiles in the liver of juvenile largemouth bass","authors":"Zijie Lin , Sicheng Liang , Yekai Wei, Zhiying Cai, Genrong Zhang, Qufei Ling","doi":"10.1016/j.jtherbio.2025.104073","DOIUrl":"10.1016/j.jtherbio.2025.104073","url":null,"abstract":"<div><div>Understanding the impacts of environmental conditions at early life stages on phenotypes and physiological responses to thermal variability at later stages is crucial for elucidating adaptive strategies in fish species. This study investigated the lasting effects of embryonic temperature on the growth performance, transcriptomic profiles, and CpG methylation status of juvenile largemouth bass (<em>Micropterus salmoides</em>) under normal and heat stress (HS) conditions. Embryos were incubated at three temperatures (22 °C, 25 °C, and 28 °C), reared at a constant 25 °C for three months, and subjected to acute HS at 37 °C. Liver samples were collected before and after HS for mRNA sequencing and reduced representation bisulfite sequencing. Significant differences in body size, body weight, condition factor, and hepatosomatic index were observed among groups. Fish hatched at 28 °C displayed a significantly higher standard length and body weight and lower hepatosomatic index than those hatched at lower temperatures. PCA analysis and Venn diagrams based on transcriptomes revealed transcriptomic response to HS differed at 28 °C while 22 and 25 °C were similar. Heat shock protein genes followed a similar trend. Epigenetic analyses revealed distinct CpG methylation patterns across incubation groups, while DNA methylation barely contributes to transcriptional differences. Under HS, different incubation groups exhibit various DNA methylation alterations. The “<em>Neuroactive ligand-receptor interaction</em>” pathway appeared to play an important role in the response to HS, suggesting a potential involvement of epigenetic regulation. Additionally, the <em>atrnl1</em> gene may be involved in a DNA methylation-mediated regulatory mechanism in response to HS.</div></div>","PeriodicalId":17428,"journal":{"name":"Journal of thermal biology","volume":"128 ","pages":"Article 104073"},"PeriodicalIF":2.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143520715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0