Pub Date : 2026-02-11DOI: 10.1016/j.jtherbio.2026.104417
Pratik Roy, Ranjan Ganguly, Nirmalendu Biswas
Magnetic fluid hyperthermia (MFH) offers a targeted means of thermally degrading malignant tissue by impregnating superparamagnetic nanoparticles (SPMNPs) within a tumor and exciting them with an alternating magnetic field. Although numerical modeling has been attempted before to guide MFH treatment optimization, systematic studies jointly integrating specific tissue categories, clinically realistic nanoparticle distributions, and dynamic perfusion evolution remain absent from the literature, leaving a critical gap in personalized MFH treatment planning. To address this, we develop a finite-element framework that integrates realistic SPMNPs distribution functions, along with a perfusion model whose magnitude varies with thermally induced tissue damage, all embedded within the Pennes bioheat formulation. Using representative breast compositions and tumor types, we investigate five spatial SPMNP-distributions under magnetic field conditions constrained by the magnetic field-frequency/Hergt-Dutz (Hf) threshold. The simulations resolve transient temperature fields, quantify thermal injury, and assess treatment quality across fatty to highly dense breast categories. The results indicate that fat-rich tumors exhibit a faster temperature rise than muscle-dominant tumors, and that the relative ease of heating mirrors the proportion of adipose to fibroglandular tissue in the surrounding breast. For deeply situated lesions, the extent of healthy-tissue injury is governed more strongly by the duration of heating than by the peak temperature attained, underscoring the importance of temporal control in MFH. Among the investigated spatial SPMNP-patterns, the radial Gaussian distribution consistently delivers the most advantageous balance - enhancing energy deposition within the tumor while restraining damage to adjacent tissue. These findings offer valuable insights for tailored, patient-specific hyperthermia therapy, thus lending to the successful clinical implementation of MFH as a promising tool for localized breast cancer treatment.
{"title":"Magnetic fluid hyperthermia for different breast categories: Effect of nanoparticle distribution patterns and temperature-dependent perfusion models on thermal transport.","authors":"Pratik Roy, Ranjan Ganguly, Nirmalendu Biswas","doi":"10.1016/j.jtherbio.2026.104417","DOIUrl":"https://doi.org/10.1016/j.jtherbio.2026.104417","url":null,"abstract":"<p><p>Magnetic fluid hyperthermia (MFH) offers a targeted means of thermally degrading malignant tissue by impregnating superparamagnetic nanoparticles (SPMNPs) within a tumor and exciting them with an alternating magnetic field. Although numerical modeling has been attempted before to guide MFH treatment optimization, systematic studies jointly integrating specific tissue categories, clinically realistic nanoparticle distributions, and dynamic perfusion evolution remain absent from the literature, leaving a critical gap in personalized MFH treatment planning. To address this, we develop a finite-element framework that integrates realistic SPMNPs distribution functions, along with a perfusion model whose magnitude varies with thermally induced tissue damage, all embedded within the Pennes bioheat formulation. Using representative breast compositions and tumor types, we investigate five spatial SPMNP-distributions under magnetic field conditions constrained by the magnetic field-frequency/Hergt-Dutz (Hf) threshold. The simulations resolve transient temperature fields, quantify thermal injury, and assess treatment quality across fatty to highly dense breast categories. The results indicate that fat-rich tumors exhibit a faster temperature rise than muscle-dominant tumors, and that the relative ease of heating mirrors the proportion of adipose to fibroglandular tissue in the surrounding breast. For deeply situated lesions, the extent of healthy-tissue injury is governed more strongly by the duration of heating than by the peak temperature attained, underscoring the importance of temporal control in MFH. Among the investigated spatial SPMNP-patterns, the radial Gaussian distribution consistently delivers the most advantageous balance - enhancing energy deposition within the tumor while restraining damage to adjacent tissue. These findings offer valuable insights for tailored, patient-specific hyperthermia therapy, thus lending to the successful clinical implementation of MFH as a promising tool for localized breast cancer treatment.</p>","PeriodicalId":17428,"journal":{"name":"Journal of thermal biology","volume":"136 ","pages":"104417"},"PeriodicalIF":2.9,"publicationDate":"2026-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146213532","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}
Climatological variations, triggered by global warming and rising temperatures, have become a growing concern, posing challenges to communities across the United States, Europe, and Asia. Earth heats, climate patterns shift, and the resulting climate instability triggers more persistent and powerful heatwaves, leading to significant ecological and health-related consequences. Disturbances in thermoregulation can lead to elevated core body temperature (CBT>39 °C); this typically occurs during heat stress (HS), a state wherein the body's capacity to cool itself is challenged by multiple external (environmental conditions, pathogens) or internal factors (inflammatory, metabolic, hormonal, and neurological), often precipitating systemic inflammation and multiple organ failure. HS pathological cascade involves different interconnected processes like oxidative stress, inflammation, compromised circulation, disrupted blood-brain barrier (BBB), coagulation irregularities, organ-specific responses, electrolyte imbalances, heat shock proteins (HSPs), and interactions with pre-existing conditions. To effectively address this emerging public health issue, a combined approach is needed, like incorporating pharmacological treatments such as non-steroidal anti-inflammatory drugs (NSAIDs), diuretics, muscle relaxants, vasodilators, beta-blockers, and anti-anxiety agents with essential non-pharmacological supports like public health education, cooling centres, early detection systems, and individualized plans specifically designed for high-risk groups. This review provides insight into the concept of heat-induced injury on the cellular level, the worldwide prevalence of HS, the pathogenic mechanisms behind Heat Stress-induced Multiple Organ Dysfunction (HS-MOD), and the various therapeutic strategies available.
{"title":"Heat waves and health crises: The unseen threat of heat stress on multiple organ systems.","authors":"Priya Jaswal, Dhrubalochan Rana, Rishabh Chaudhary, Jhilli Basu, Nitin Bansal, Sumeet Gupta, Seema Bansal","doi":"10.1016/j.jtherbio.2026.104375","DOIUrl":"https://doi.org/10.1016/j.jtherbio.2026.104375","url":null,"abstract":"<p><p>Climatological variations, triggered by global warming and rising temperatures, have become a growing concern, posing challenges to communities across the United States, Europe, and Asia. Earth heats, climate patterns shift, and the resulting climate instability triggers more persistent and powerful heatwaves, leading to significant ecological and health-related consequences. Disturbances in thermoregulation can lead to elevated core body temperature (CBT>39 °C); this typically occurs during heat stress (HS), a state wherein the body's capacity to cool itself is challenged by multiple external (environmental conditions, pathogens) or internal factors (inflammatory, metabolic, hormonal, and neurological), often precipitating systemic inflammation and multiple organ failure. HS pathological cascade involves different interconnected processes like oxidative stress, inflammation, compromised circulation, disrupted blood-brain barrier (BBB), coagulation irregularities, organ-specific responses, electrolyte imbalances, heat shock proteins (HSPs), and interactions with pre-existing conditions. To effectively address this emerging public health issue, a combined approach is needed, like incorporating pharmacological treatments such as non-steroidal anti-inflammatory drugs (NSAIDs), diuretics, muscle relaxants, vasodilators, beta-blockers, and anti-anxiety agents with essential non-pharmacological supports like public health education, cooling centres, early detection systems, and individualized plans specifically designed for high-risk groups. This review provides insight into the concept of heat-induced injury on the cellular level, the worldwide prevalence of HS, the pathogenic mechanisms behind Heat Stress-induced Multiple Organ Dysfunction (HS-MOD), and the various therapeutic strategies available.</p>","PeriodicalId":17428,"journal":{"name":"Journal of thermal biology","volume":"136 ","pages":"104375"},"PeriodicalIF":2.9,"publicationDate":"2026-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146202072","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}
Pub Date : 2026-02-10DOI: 10.1016/j.jtherbio.2026.104408
Zhuoyang Li, Yanyong Ye, Xin Fu, Jing Li, Yan Lei
To address uneven temperature distribution from vascular cooling in liver tumor magnetic hyperthermia, this study proposes a clinically oriented zonal control strategy using magnetic media with distinct Curie temperatures (66 °C and 75 °C). By constructing a Multiphysics coupled model of a liver tumor with a Y-shaped vascular structure, and validating the model's effectiveness through ex vivo tissue experiments, we simulated the temperature field distribution under alternating magnetic fields. Additionally, we analyzed the effects of blood flow velocity, vascular bifurcation angle, and vessel diameter on the surrounding tissue temperature. The results demonstrate that this strategy enables precise thermal ablation in the tumor core (up to 71.7 °C) while maintaining safe temperatures in perivascular regions (∼38.5 °C) and achieving effective hyperthermia at the tumor margin (43 °C). The study confirms that magnetic field intensity has a dominant influence over frequency in temperature elevation. This approach provides a theoretical and experimental basis for developing targeted and safe hyperthermia in highly vascularized tumors, overcoming the challenge of vascular heat dissipation.
{"title":"Simulation and experimental study on temperature control in perivascular magnetic induction hyperthermia based on multi-curie-temperature thermal seeds.","authors":"Zhuoyang Li, Yanyong Ye, Xin Fu, Jing Li, Yan Lei","doi":"10.1016/j.jtherbio.2026.104408","DOIUrl":"https://doi.org/10.1016/j.jtherbio.2026.104408","url":null,"abstract":"<p><p>To address uneven temperature distribution from vascular cooling in liver tumor magnetic hyperthermia, this study proposes a clinically oriented zonal control strategy using magnetic media with distinct Curie temperatures (66 °C and 75 °C). By constructing a Multiphysics coupled model of a liver tumor with a Y-shaped vascular structure, and validating the model's effectiveness through ex vivo tissue experiments, we simulated the temperature field distribution under alternating magnetic fields. Additionally, we analyzed the effects of blood flow velocity, vascular bifurcation angle, and vessel diameter on the surrounding tissue temperature. The results demonstrate that this strategy enables precise thermal ablation in the tumor core (up to 71.7 °C) while maintaining safe temperatures in perivascular regions (∼38.5 °C) and achieving effective hyperthermia at the tumor margin (43 °C). The study confirms that magnetic field intensity has a dominant influence over frequency in temperature elevation. This approach provides a theoretical and experimental basis for developing targeted and safe hyperthermia in highly vascularized tumors, overcoming the challenge of vascular heat dissipation.</p>","PeriodicalId":17428,"journal":{"name":"Journal of thermal biology","volume":"136 ","pages":"104408"},"PeriodicalIF":2.9,"publicationDate":"2026-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146202138","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}
Heat stress during summer poses a major challenge to reproductive efficiency in Murrah buffalo bulls by disrupting testicular thermoregulation and vascular perfusion, ultimately impairing semen quality. This study aimed to evaluate the relationships among testicular temperature gradient (TG), testicular blood flow, and semen parameters in twelve adult Murrah bulls maintained under summer stress (average THI 80.6). Infrared thermography (IRT) was performed fortnightly to measure scrotal surface temperatures at proximal and distal poles, and TG was calculated as the difference. Colour Doppler ultrasonography was used monthly to assess blood perfusion at the testicular vascular cone subjectively (vascularity score, 1-5) and objectively (percentage area of Doppler signal). Semen was collected using artificial vagina fortnightly and analyzed for volume, concentration, mass motility, progressive motility, viability, acrosome integrity, hypo-osmotic swelling test (HOST) response, and abnormality rate Bulls were stratified into two TG-based groups (>3 °C and <3 °C), with six animals in each group. Bulls with TG > 3 °C exhibited significantly higher testicular blood flow (52.7 ± 1.6% vs. 40.6 ± 2.1%) and vascularity scores (3.3 ± 0.1 vs. 2.5 ± 0.1). They also showed significant improvements in progressive motility (79.3 ± 1.6% vs. 71.1 ± 1.2%), viability (82.9 ± 0.9% vs. 76.4 ± 1.7%), acrosome integrity (86.6 ± 0.2% vs. 84.0 ± 0.3%), and HOST response (68.0 ± 0.7% vs. 63.0 ± 0.5%), along with significantly lower abnormal spermatozoa (10.8 ± 0.2% vs. 13.3 ± 0.3%). Correlation and regression analyses confirmed strong associations between TG, perfusion metrics, and semen traits, while elevated THI negatively influenced testicular function. IRT and Doppler assessments were a reliable and non-invasive biomarkers for detection of sperm quality impairment in heat-stressed Murrah bulls, with potential applications for efficient reproductive management to reduce the adverse effect of heat stress.
夏季的热应激通过破坏睾丸温度调节和血管灌注,最终损害精液质量,对默拉水牛的生殖效率构成重大挑战。本研究旨在评价12头夏应激(平均THI为80.6)条件下成年默拉公牛睾丸温度梯度(TG)、睾丸血流量和精液参数之间的关系。每两周进行一次红外热像仪(IRT)测量阴囊近端和远端表面温度,并计算TG作为差值。每月应用彩色多普勒超声主观上(血管度评分,1-5)和客观上(多普勒信号面积百分比)评估睾丸血管锥血流灌注。采用人工阴道每两周采集一次精液,分析精液的体积、浓度、质量运动性、进行运动性、活力、顶体完整性、低渗透肿胀试验(HOST)反应和异常率。将公牛分为两个tg组(>3°C和3°C睾丸血流量(52.7±1.6% vs. 40.6±2.1%)和血管密度评分(3.3±0.1 vs. 2.5±0.1)。他们在进行性运动能力(79.3±1.6% vs. 71.1±1.2%)、活力(82.9±0.9% vs. 76.4±1.7%)、顶体完整性(86.6±0.2% vs. 84.0±0.3%)和HOST反应(68.0±0.7% vs. 63.0±0.5%)方面也有显著改善,同时异常精子数量显著降低(10.8±0.2% vs. 13.3±0.3%)。相关分析和回归分析证实TG、灌注指标和精液特征之间存在很强的相关性,而THI升高对睾丸功能有负面影响。IRT和多普勒评估是一种可靠的非侵入性生物标志物,可用于检测热应激条件下默拉公牛精子质量受损,在有效的生殖管理中具有潜在的应用价值,以减少热应激的不利影响。
{"title":"Testicular temperature gradient and vascular perfusion as predictors of semen quality in summer-stressed Murrah bulls.","authors":"Divyanshu Lakhanpal, Tushar Kumar Mohanty, Mukesh Bhakat, Ramaswamy Arunkumar, Rubina K Baithalu, Anjali Chauhan","doi":"10.1016/j.jtherbio.2026.104409","DOIUrl":"https://doi.org/10.1016/j.jtherbio.2026.104409","url":null,"abstract":"<p><p>Heat stress during summer poses a major challenge to reproductive efficiency in Murrah buffalo bulls by disrupting testicular thermoregulation and vascular perfusion, ultimately impairing semen quality. This study aimed to evaluate the relationships among testicular temperature gradient (TG), testicular blood flow, and semen parameters in twelve adult Murrah bulls maintained under summer stress (average THI 80.6). Infrared thermography (IRT) was performed fortnightly to measure scrotal surface temperatures at proximal and distal poles, and TG was calculated as the difference. Colour Doppler ultrasonography was used monthly to assess blood perfusion at the testicular vascular cone subjectively (vascularity score, 1-5) and objectively (percentage area of Doppler signal). Semen was collected using artificial vagina fortnightly and analyzed for volume, concentration, mass motility, progressive motility, viability, acrosome integrity, hypo-osmotic swelling test (HOST) response, and abnormality rate Bulls were stratified into two TG-based groups (>3 °C and <3 °C), with six animals in each group. Bulls with TG > 3 °C exhibited significantly higher testicular blood flow (52.7 ± 1.6% vs. 40.6 ± 2.1%) and vascularity scores (3.3 ± 0.1 vs. 2.5 ± 0.1). They also showed significant improvements in progressive motility (79.3 ± 1.6% vs. 71.1 ± 1.2%), viability (82.9 ± 0.9% vs. 76.4 ± 1.7%), acrosome integrity (86.6 ± 0.2% vs. 84.0 ± 0.3%), and HOST response (68.0 ± 0.7% vs. 63.0 ± 0.5%), along with significantly lower abnormal spermatozoa (10.8 ± 0.2% vs. 13.3 ± 0.3%). Correlation and regression analyses confirmed strong associations between TG, perfusion metrics, and semen traits, while elevated THI negatively influenced testicular function. IRT and Doppler assessments were a reliable and non-invasive biomarkers for detection of sperm quality impairment in heat-stressed Murrah bulls, with potential applications for efficient reproductive management to reduce the adverse effect of heat stress.</p>","PeriodicalId":17428,"journal":{"name":"Journal of thermal biology","volume":"136 ","pages":"104409"},"PeriodicalIF":2.9,"publicationDate":"2026-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146258579","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}
Pub Date : 2026-02-09DOI: 10.1016/j.jtherbio.2026.104410
Marta Moyano, Edurne Blanco, Aurelio Ortega, Fernando De la Gándara, Laia Armengol, Myron A Peck, Patricia Reglero
There is a growing interest in understanding the thermal tolerance of ectotherms across life stages. Identifying the stages that are most sensitive can help develop more robust projections on the consequences of climate impacts to populations, as well as help guide management and conservation efforts. Here, we estimate upper and lower thermal tolerance (as Critical Thermal maximum, CTmax, and minimum, CTmin) of Atlantic bluefin tuna (Thunnus thynnus) larvae. This species is an iconic apex predator that exhibits regional endothermy during the adult stage, but thermal tolerance of larvae was unknown. CTmin and CTmax were estimated in larvae grown from wild eggs under laboratory conditions. The mean (±SE) CTmax and CTmin across all tested batches and developmental stages was 31.7 (±0.6) and 17.9 (±0.7)°C, respectively. Rate of temperature change (1.5, 3, 6, or 9 °C h-1) had no effect on the thermal tolerance estimates. Similarly, CTmin and CTmax were consistent across preflexion, flexion, and postflexion larval stages. The observed high inter-individual variability in CTmin and CTmax (11-13 °C) likely reflects methodological challenges related to the extreme sensitivity of the species to handling stress and confinement. Present and future thermal safety margin (by 2060) for larvae in the Balearic Islands are 3.6 (±0.6 SE) °C and 1.8 (±0.6 SE)°C, respectively. Future research should continue exploring alternative methods for estimating thermal limits and incorporate experimental designs with multiple stressors such as exposing well- and poorly-fed larvae to heatwaves and/or different light levels.
{"title":"Critical thermal limits of Atlantic bluefin tuna (Thunnus thynnus) larvae.","authors":"Marta Moyano, Edurne Blanco, Aurelio Ortega, Fernando De la Gándara, Laia Armengol, Myron A Peck, Patricia Reglero","doi":"10.1016/j.jtherbio.2026.104410","DOIUrl":"https://doi.org/10.1016/j.jtherbio.2026.104410","url":null,"abstract":"<p><p>There is a growing interest in understanding the thermal tolerance of ectotherms across life stages. Identifying the stages that are most sensitive can help develop more robust projections on the consequences of climate impacts to populations, as well as help guide management and conservation efforts. Here, we estimate upper and lower thermal tolerance (as Critical Thermal maximum, CTmax, and minimum, CTmin) of Atlantic bluefin tuna (Thunnus thynnus) larvae. This species is an iconic apex predator that exhibits regional endothermy during the adult stage, but thermal tolerance of larvae was unknown. CTmin and CTmax were estimated in larvae grown from wild eggs under laboratory conditions. The mean (±SE) CTmax and CTmin across all tested batches and developmental stages was 31.7 (±0.6) and 17.9 (±0.7)°C, respectively. Rate of temperature change (1.5, 3, 6, or 9 °C h<sup>-1</sup>) had no effect on the thermal tolerance estimates. Similarly, CTmin and CTmax were consistent across preflexion, flexion, and postflexion larval stages. The observed high inter-individual variability in CTmin and CTmax (11-13 °C) likely reflects methodological challenges related to the extreme sensitivity of the species to handling stress and confinement. Present and future thermal safety margin (by 2060) for larvae in the Balearic Islands are 3.6 (±0.6 SE) °C and 1.8 (±0.6 SE)°C, respectively. Future research should continue exploring alternative methods for estimating thermal limits and incorporate experimental designs with multiple stressors such as exposing well- and poorly-fed larvae to heatwaves and/or different light levels.</p>","PeriodicalId":17428,"journal":{"name":"Journal of thermal biology","volume":"136 ","pages":"104410"},"PeriodicalIF":2.9,"publicationDate":"2026-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146202013","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}
Pub Date : 2026-02-05DOI: 10.1016/j.jtherbio.2026.104395
Helena Gurjão Pinheiro Do Val, Luiza Figueiredo Passos, Joilson Medeiros de Barros, Grahame Webb, Marcos Eduardo Coutinho
{"title":"Corrigendum to \"Thermal ecology and embryonic development in black caiman's (Melanosuchus niger, Spix 1758)\" [J. Therm. Biol. (2026) 104357].","authors":"Helena Gurjão Pinheiro Do Val, Luiza Figueiredo Passos, Joilson Medeiros de Barros, Grahame Webb, Marcos Eduardo Coutinho","doi":"10.1016/j.jtherbio.2026.104395","DOIUrl":"https://doi.org/10.1016/j.jtherbio.2026.104395","url":null,"abstract":"","PeriodicalId":17428,"journal":{"name":"Journal of thermal biology","volume":" ","pages":"104395"},"PeriodicalIF":2.9,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146132271","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}
Pub Date : 2026-02-01DOI: 10.1016/j.jtherbio.2026.104386
Neila Lidiany Ribeiro , Roberto Germano Costa , Ricardo Bozzi , Edilson Paes Saraiva , Maria Norma Ribeiro , Edgard Cavalcanti Pimenta Filho , Jaciara Ribeiro Miranda , Alessandro Crovetti , Dermeval Araújo Furtado
This study analyzed the physiological parameters, hair characteristics, and heat exchange mechanisms of native Garfagnina goats in a temperate climate, accounting for seasonal variations and coat color. A total of 50 adult, lactating Garfagnina goats were used for this extensive evaluation. Significant seasonal fluctuations were observed in various metrics: rectal temperature (P = 0.0002), respiratory rate (P = 0.0008), heart rate, hair diameter, and hair length (P < 0.0001). During winter, the variables rectal temperature, heart rate, and hair length were higher than in summer. Additionally, significant differences in hair diameter and length (P < 0.0001) by coat color were identified; specifically, black- and white-coated goats had longer hair than those of other colors. Heat exchanges - comprising radiation, convection, total sensible heat, skin exchanges, total latent heat, and total heat exchanges also varied significantly (P < 0.0001) by season. Although the physiological metrics remained consistent across coat colors, they were affected by seasonal changes, particularly in air temperature. The hair's morphological features adapt to both seasonality and coat color, and these adaptations likely contribute to thermoregulation, helping goats cope with seasonal variations in environmental temperature.
{"title":"Thermal and morphological characterization of Garfagnina goats in different seasons","authors":"Neila Lidiany Ribeiro , Roberto Germano Costa , Ricardo Bozzi , Edilson Paes Saraiva , Maria Norma Ribeiro , Edgard Cavalcanti Pimenta Filho , Jaciara Ribeiro Miranda , Alessandro Crovetti , Dermeval Araújo Furtado","doi":"10.1016/j.jtherbio.2026.104386","DOIUrl":"10.1016/j.jtherbio.2026.104386","url":null,"abstract":"<div><div>This study analyzed the physiological parameters, hair characteristics, and heat exchange mechanisms of native Garfagnina goats in a temperate climate, accounting for seasonal variations and coat color. A total of 50 adult, lactating Garfagnina goats were used for this extensive evaluation. Significant seasonal fluctuations were observed in various metrics: rectal temperature (P = 0.0002), respiratory rate (P = 0.0008), heart rate, hair diameter, and hair length (P < 0.0001). During winter, the variables rectal temperature, heart rate, and hair length were higher than in summer. Additionally, significant differences in hair diameter and length (P < 0.0001) by coat color were identified; specifically, black- and white-coated goats had longer hair than those of other colors. Heat exchanges - comprising radiation, convection, total sensible heat, skin exchanges, total latent heat, and total heat exchanges also varied significantly (P < 0.0001) by season. Although the physiological metrics remained consistent across coat colors, they were affected by seasonal changes, particularly in air temperature. The hair's morphological features adapt to both seasonality and coat color, and these adaptations likely contribute to thermoregulation, helping goats cope with seasonal variations in environmental temperature.</div></div>","PeriodicalId":17428,"journal":{"name":"Journal of thermal biology","volume":"136 ","pages":"Article 104386"},"PeriodicalIF":2.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078934","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}
Pub Date : 2026-02-01DOI: 10.1016/j.jtherbio.2026.104387
Alon Itzkovitch , Idan Sulami , Ronny Doron Efroni , Moni Shahar , Ofir Levy
Microclimates are critical for understanding how organisms interact with their environments, influencing behaviour, physiology, and species distributions. However, traditional physical heat-balance models for predicting ground temperatures in microhabitats often exhibit biases due to unaccounted environmental complexities and poorly constrained parameters. These limitations can hinder ecological research and conservation planning, particularly in the context of climate change.
In this study, we demonstrate how high-resolution drone-based mapping and machine learning can improve the accuracy of microclimate models. Using drone imagery, we generated detailed environmental maps, including solar radiation, vegetation indices, and skyview factors, to parameterize a physical heat-balance model. Validation with thermal maps derived from drone-mounted infrared cameras revealed systematic errors in the physical model's predictions, including over- and underestimations under specific environmental conditions. To address these errors, we applied a random forest machine learning model to predict and correct biases in new prediction maps.
Our results show that machine learning reduced mean absolute errors by over 30% and mean square errors by 50%, while consistently narrowing the range of prediction inaccuracies. Key factors driving biases, such as vegetation cover, solar radiation, and height above ground, were identified, offering valuable insights for improving physical models. The machine learning corrections not only improved accuracy but also highlighted parameters and processes that were previously underrepresented or oversimplified in traditional models.
These findings illustrate the potential of machine learning to improve microclimate predictions. While our drone-based approach is most applicable to open, sparsely vegetated habitats, the principle of machine learning bias correction can be extended to other systems as well. Correcting microclimate models with machine learning and observational data provides ecologists and conservation practitioners with a powerful framework for generating more accurate microclimate estimates. Such improvements deepen our understanding of species’ responses to climate change and support climate-resilient management strategies.
{"title":"From big data to small scales: Machine learning enhances microclimate model predictions","authors":"Alon Itzkovitch , Idan Sulami , Ronny Doron Efroni , Moni Shahar , Ofir Levy","doi":"10.1016/j.jtherbio.2026.104387","DOIUrl":"10.1016/j.jtherbio.2026.104387","url":null,"abstract":"<div><div>Microclimates are critical for understanding how organisms interact with their environments, influencing behaviour, physiology, and species distributions. However, traditional physical heat-balance models for predicting ground temperatures in microhabitats often exhibit biases due to unaccounted environmental complexities and poorly constrained parameters. These limitations can hinder ecological research and conservation planning, particularly in the context of climate change.</div><div>In this study, we demonstrate how high-resolution drone-based mapping and machine learning can improve the accuracy of microclimate models. Using drone imagery, we generated detailed environmental maps, including solar radiation, vegetation indices, and skyview factors, to parameterize a physical heat-balance model. Validation with thermal maps derived from drone-mounted infrared cameras revealed systematic errors in the physical model's predictions, including over- and underestimations under specific environmental conditions. To address these errors, we applied a random forest machine learning model to predict and correct biases in new prediction maps.</div><div>Our results show that machine learning reduced mean absolute errors by over 30% and mean square errors by 50%, while consistently narrowing the range of prediction inaccuracies. Key factors driving biases, such as vegetation cover, solar radiation, and height above ground, were identified, offering valuable insights for improving physical models. The machine learning corrections not only improved accuracy but also highlighted parameters and processes that were previously underrepresented or oversimplified in traditional models.</div><div>These findings illustrate the potential of machine learning to improve microclimate predictions. While our drone-based approach is most applicable to open, sparsely vegetated habitats, the principle of machine learning bias correction can be extended to other systems as well. Correcting microclimate models with machine learning and observational data provides ecologists and conservation practitioners with a powerful framework for generating more accurate microclimate estimates. Such improvements deepen our understanding of species’ responses to climate change and support climate-resilient management strategies.</div></div>","PeriodicalId":17428,"journal":{"name":"Journal of thermal biology","volume":"136 ","pages":"Article 104387"},"PeriodicalIF":2.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146125373","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}
Pub Date : 2026-02-01DOI: 10.1016/j.jtherbio.2026.104381
Katherine A. Travis , Caleb M. McKinney , Evan P. Tanner , Ashley M. Tanner , Fidel Hernández , Leonard A. Brennan , David G. Hewitt , Humberto L. Perotto-Baldivieso , Ryan S. Luna , R. Dwayne Elmore , John McLaughlin
Animal space use is structured by a combination of biotic and abiotic factors, often resulting in disparity of useable space across gradients of these conditions. Animals experience two fundamentally different environments across the diel cycle, as diurnal and nocturnal periods contain different conditions around which animals must partition their space use. This partitioning is partially a consequence of animals needing to meet different demands across the diel cycle. Abiotic conditions can interact with biotic pressures to cause animals to respond differently to compounding pressures such as thermal stress between the diurnal and nocturnal periods. The chestnut-bellied scaled quail (Callipepla squamata var. castanogastris) is a shrubland-obligate subspecies of scaled quail within the Tamaulipan thornscrub biotic province that has faced population declines in recent decades. Our objectives were to examine the space use of GPS-tagged chestnut-bellied scaled quail at two sites in South Texas (one stable and one declining population) and to predict how habitat suitability shifts across the diel cycle. Additionally, we determined how changes in habitat suitability may be impacted by ambient temperature as well as landscape configuration. While diurnal and nocturnal environmental suitability overlap was relatively high at most temperatures (Schoener's D: 0.67–0.81 [stable site]; 0.70–0.87 [declining site]), we found that overlap decreased by 15 % (stable population site) and 22 % (declining population site) when ambient temperatures reached the upper limit of the species' thermoneutral zone (35 °C). This decrease in environmental suitability overlap occurred at relatively cooler temperatures at the declining population site (32.2°C–35.0 °C) than at the stable population site (35.0°C–37.8 °C). Our results indicate that relatively small changes in temperature can affect habitat suitability across the diel cycle. Understanding disparity in diurnal and nocturnal space use, and the possible consequences of this divergence, is increasingly important in a warming and more anthropogenically altered environment.
{"title":"In the heat of the night: Temperature and vegetation structure disparity in habitat suitability for scaled quail","authors":"Katherine A. Travis , Caleb M. McKinney , Evan P. Tanner , Ashley M. Tanner , Fidel Hernández , Leonard A. Brennan , David G. Hewitt , Humberto L. Perotto-Baldivieso , Ryan S. Luna , R. Dwayne Elmore , John McLaughlin","doi":"10.1016/j.jtherbio.2026.104381","DOIUrl":"10.1016/j.jtherbio.2026.104381","url":null,"abstract":"<div><div>Animal space use is structured by a combination of biotic and abiotic factors, often resulting in disparity of useable space across gradients of these conditions. Animals experience two fundamentally different environments across the diel cycle, as diurnal and nocturnal periods contain different conditions around which animals must partition their space use. This partitioning is partially a consequence of animals needing to meet different demands across the diel cycle. Abiotic conditions can interact with biotic pressures to cause animals to respond differently to compounding pressures such as thermal stress between the diurnal and nocturnal periods. The chestnut-bellied scaled quail (<em>Callipepla squamata</em> var. <em>castanogastris</em>) is a shrubland-obligate subspecies of scaled quail within the Tamaulipan thornscrub biotic province that has faced population declines in recent decades. Our objectives were to examine the space use of GPS-tagged chestnut-bellied scaled quail at two sites in South Texas (one stable and one declining population) and to predict how habitat suitability shifts across the diel cycle. Additionally, we determined how changes in habitat suitability may be impacted by ambient temperature as well as landscape configuration. While diurnal and nocturnal environmental suitability overlap was relatively high at most temperatures (Schoener's <em>D</em>: 0.67–0.81 [stable site]; 0.70–0.87 [declining site]), we found that overlap decreased by 15 % (stable population site) and 22 % (declining population site) when ambient temperatures reached the upper limit of the species' thermoneutral zone (35 °C). This decrease in environmental suitability overlap occurred at relatively cooler temperatures at the declining population site (32.2°C–35.0 °C) than at the stable population site (35.0°C–37.8 °C). Our results indicate that relatively small changes in temperature can affect habitat suitability across the diel cycle. Understanding disparity in diurnal and nocturnal space use, and the possible consequences of this divergence, is increasingly important in a warming and more anthropogenically altered environment.</div></div>","PeriodicalId":17428,"journal":{"name":"Journal of thermal biology","volume":"136 ","pages":"Article 104381"},"PeriodicalIF":2.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146052991","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}
Heat stress (HS) significantly challenges dairy cattle, affecting their immune function, endocrine responses, and thermoregulation. This study investigated cytokine responses, hormonal changes, and body surface temperature variations in 12 indigenous Sahiwal (SW) and 12 crossbred Karan Fries (KF) cows reared under hot-dry (HD; THI = 77.75) and hot-humid (HH; THI = 81.48) seasons. Plasma concentrations of Interleukin-6 (IL-10), tumor necrosis factor-α (TNF-α), Interleukin-6 (IL-6), Interleukin-1β (IL- 1β), cortisol, triiodothyronine (T3), and thyroxine (T4) were analysed using ELISA, while body surface temperatures were measured using infrared thermography (IRT). Significant (P < 0.05) variations were observed between breeds and across the two seasons. Higher TNF-α, IL-6, IL-1β, and cortisol levels were observed under HH compared to HD seasons. TNF-α levels increased significantly (P < 0.05) by 31.76% in SW and 36.47% in KF cows, while cortisol levels rose by 44.41% and 47.42%, respectively, from the HD to HH season. In contrast, T3 and T4 levels declined significantly (P < 0.05) by 25.60% and 36.42%, respectively, under HH seasons, with a greater reduction observed in KF cows. Body surface temperatures were significantly (P < 0.05) higher in KF cows across all measured regions, with eye temperature exhibiting a strong correlation with TNF-α (r = 0.88, P < 0.01) and cortisol (r = 0.78, P < 0.01). These findings highlighted the heightened susceptibility of crossbred cows to HS and also provided important new insights into some stress indicators in native and crossbred cows, which could be integrated into farming systems under hot conditions.
{"title":"Effect of hot-dry and hot-humid seasons on the plasma cytokines, hormones, and body surface temperatures in lactating indigenous (Sahiwal) and crossbred (Karan Fries) cows raised in tropical climates","authors":"Manisha Choudhary , Aarti Kamboj , Pritam Pal , Bagavathi M , Animesh Patel , Pankaj Suman , Ajay Kumar Dang","doi":"10.1016/j.jtherbio.2026.104405","DOIUrl":"10.1016/j.jtherbio.2026.104405","url":null,"abstract":"<div><div>Heat stress (HS) significantly challenges dairy cattle, affecting their immune function, endocrine responses, and thermoregulation. This study investigated cytokine responses, hormonal changes, and body surface temperature variations in 12 indigenous Sahiwal (SW) and 12 crossbred Karan Fries (KF) cows reared under hot-dry (HD; THI = 77.75) and hot-humid (HH; THI = 81.48) seasons. Plasma concentrations of Interleukin-6 (IL-10), tumor necrosis factor-α (TNF-α), Interleukin-6 (IL-6), Interleukin-1β (IL- 1β), cortisol, triiodothyronine (T3), and thyroxine (T4) were analysed using ELISA, while body surface temperatures were measured using infrared thermography (IRT). Significant (P < 0.05) variations were observed between breeds and across the two seasons. Higher TNF-α, IL-6, IL-1β, and cortisol levels were observed under HH compared to HD seasons. TNF-α levels increased significantly (P < 0.05) by 31.76% in SW and 36.47% in KF cows, while cortisol levels rose by 44.41% and 47.42%, respectively, from the HD to HH season. In contrast, T3 and T4 levels declined significantly (P < 0.05) by 25.60% and 36.42%, respectively, under HH seasons, with a greater reduction observed in KF cows. Body surface temperatures were significantly (P < 0.05) higher in KF cows across all measured regions, with eye temperature exhibiting a strong correlation with TNF-α (r = 0.88, P < 0.01) and cortisol (r = 0.78, P < 0.01). These findings highlighted the heightened susceptibility of crossbred cows to HS and also provided important new insights into some stress indicators in native and crossbred cows, which could be integrated into farming systems under hot conditions.</div></div>","PeriodicalId":17428,"journal":{"name":"Journal of thermal biology","volume":"136 ","pages":"Article 104405"},"PeriodicalIF":2.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146165649","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}