Tongue temperature perception abnormality typically refers to an alteration in the tongue's ability to sense temperature, which may manifest as diminished or lost perception of heat or cold, or abnormal sensations in the absence of significant temperature changes. This case report describes a 60-year-old female who developed tongue temperature perception abnormality following the use of agomelatine. The patient had a history of good health, with no surgical or chronic disease history, and no family history of mental illness. She presented with symptoms of emotional depression, irritability, and insomnia, and was diagnosed with depression. Initially treated with sertraline and oxazepam, the treatment was changed to agomelatine due to poor sleep quality. One week after starting agomelatine, the patient reported tongue discomfort, which progressed to temperature perception abnormality, leading to burns and blisters. After discontinuing agomelatine and switching to duloxetine treatment, the symptoms rapidly improved. This case suggests a potential adverse drug reaction induced by agomelatine. The report emphasizes the importance of monitoring drug side effects and timely intervention in clinical practice.
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http://dx.doi.org/10.62347/RGHC1274 | DOI Listing |
Sci Rep
January 2025
Innovation Institute for Sustainable Maritime Architecture Research and Technology, Qingdao University of Technology, Qingdao, 266033, People's Republic of China.
During the hot summer months, the significant temperature disparity between outdoor and indoor air-conditioned spaces can lead to thermal discomfort and pose a potential health risk. Transition areas such as corridors and elevator lobbies, serving as intermediary zones connecting indoors and outdoors, have been found effective in mitigating this thermal discomfort. In this study, three different temperatures (25 °C-case 1, 27 °C-case 2, and 29 °C-case 3) were employed to investigate the dynamic physiological regulation and thermal perception response of individuals when transitioning from an outdoor environment into an indoor neutral room through a transition space.
View Article and Find Full Text PDFNat Commun
January 2025
Guangxi Key Laboratory of Clean Pulp & Papermaking and Pollution Control, School of Light Industry and Food Engineering, Guangxi University, Nanning, 530004, PR China.
Skin-like sensors capable of detecting multiple stimuli simultaneously have great potential in cutting-edge human-machine interaction. However, realizing multimodal tactile recognition beyond human tactile perception still faces significant challenges. Here, an extreme environments-adaptive multimodal triboelectric sensor was developed, capable of detecting pressure/temperatures beyond the range of human perception.
View Article and Find Full Text PDFHeliyon
November 2024
Department of Ophthalmology, The Second Hospital of Jilin University, Changchun, China.
Ubiquitous white light-emitting diodes (LEDs) possess optical properties that differ from those of natural light. This difference can impact visual perception and biological functions, thus potentially affecting eye health. Myopia, which leads to visual impairments and potentially irreversible vision loss or blindness, is the most prevalent refractive error worldwide.
View Article and Find Full Text PDFSci Adv
January 2025
Laboratory of Neurogenetics and Behavior, The Rockefeller University, New York, NY 10065, USA.
Sensory compensation occurs when loss of one sense leads to enhanced perception by another sense. We have identified a previously undescribed mechanism of sensory compensation in female mosquitoes. Odorant receptor co-receptor () mutants show enhanced attraction to human skin temperature and increased heat-evoked neuronal activity in foreleg sensory neurons.
View Article and Find Full Text PDFSci Rep
December 2024
School of Mechanical and Electrical Engineering, Qiqihar University, Qiqihar, 161006, China.
A prediction model of the pig house environment based on Bayesian optimization (BO), squeeze and excitation block (SE), convolutional neural network (CNN) and gated recurrent unit (GRU) is proposed to improve the prediction accuracy and animal welfare and take control measures in advance. To ensure the optimal model configuration, the model uses a BO algorithm to fine-tune hyper-parameters, such as the number of GRUs, initial learning rate and L2 normal form regularization factor. The environmental data are fed into the SE-CNN block, which extracts the local features of the data through convolutional operations.
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