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Frontiers in Bioscience (Landmark... May 2024Circadian rhythms, the natural cycles of physical, mental, and behavioral changes that follow a roughly 24-hour cycle, are known to have a profound effect on the human... (Review)
Review
Circadian rhythms, the natural cycles of physical, mental, and behavioral changes that follow a roughly 24-hour cycle, are known to have a profound effect on the human body. Light plays an important role in the regulation of circadian rhythm in human body. When light from the outside enters the eyes, cones, rods, and specialized retinal ganglion cells receive the light signal and transmit it to the suprachiasmatic nucleus of the hypothalamus. The central rhythm oscillator of the suprachiasmatic nucleus regulates the rhythm oscillator of tissues all over the body. Circadian rhythms, the natural cycles of physical, mental, and behavioral changes that follow a roughly 24-hour cycle, are known to have a profound effect on the human body. As the largest organ in the human body, skin plays an important role in the peripheral circadian rhythm regulation system. Like photoreceptor cells in the retina, melanocytes express opsins. Studies show that melanocytes in the skin are also sensitive to light, allowing the skin to "see" light even without the eyes. Upon receiving light signals, melanocytes in the skin release hormones that maintain homeostasis. This process is called "photoneuroendocrinology", which supports the health effects of light exposure. However, inappropriate light exposure, such as prolonged work in dark environments or exposure to artificial light at night, can disrupt circadian rhythms. Such disruptions are linked to a variety of health issues, emphasizing the need for proper light management in daily life. Conversely, harnessing light's beneficial effects through phototherapy is gaining attention as an adjunctive treatment modality. Despite these advancements, the field of circadian rhythm research still faces several unresolved issues and emerging challenges. One of the most exciting prospects is the use of the skin's photosensitivity to treat diseases. This approach could revolutionize how we think about and manage various health conditions, leveraging the skin's unique ability to respond to light for therapeutic purposes. As research continues to unravel the complexities of circadian rhythms and their impact on health, the potential for innovative treatments and improved wellbeing is immense.
Topics: Humans; Circadian Rhythm; Animals; Light; Signal Transduction
PubMed: 38940028
DOI: 10.31083/j.fbl2906206 -
Oncology Letters Aug 2024Liver cancer near the deep diaphragm can be difficult to visualize due to the effects of lung gas, which presents a challenge for microwave ablation (MWA). The present...
Liver cancer near the deep diaphragm can be difficult to visualize due to the effects of lung gas, which presents a challenge for microwave ablation (MWA). The present study aimed to investigate the feasibility and efficacy of artificial ascites-assisted MWA for treating liver cancer near the deep diaphragm, as well as the significance of perioperative nursing. A retrospective analysis was conducted on patients who underwent artificial ascites-assisted MWA for liver cancer located near the deep diaphragm between January 2016 and December 2022. Normal saline was utilized as artificial ascites to safeguard the deep diaphragm during MWA. The study recorded the procedural success rate, incidence of major complications, technical efficacy of ablation and local tumor progression (LTP). A total of 62 lesions in 54 patients were included, with 44 men and 10 women, and a mean (± SD) age of 55.64±10.33 years. The ultrasound image quality scores for liver cancer before and after ascites were 3.57±0.79 and 4.89±0.33, respectively, showing a statistically significant difference between the two groups (t=16.324; P<0.05). No diaphragm injury, skin burns at the puncture site or abdominal hemorrhage occurred during the procedure. A single patient developed right-sided pleural effusion, which did not require drainage. The complete ablation rate was 94.4% (51/54) at 1 month post-ablation, with 3 patients experiencing recurrence and receiving additional MWA treatment. The median follow-up time for the patients in this study was 21 months (range, 12-45 months), with a LTP rate of 5.6% (3/54). In conclusion, MWA assisted by artificial ascites is a safe and effective treatment for liver cancer near the deep diaphragm. Furthermore, perioperative treatment and rehabilitation of the patients with high-quality nursing is beneficial.
PubMed: 38939625
DOI: 10.3892/ol.2024.14515 -
Journal of Pain Research 2024Herpes zoster (HZ) typically manifests in the acute phase with distinct blisters and severe neuropathic pain. Remarkably, a subset of patients initially presents with...
BACKGROUND
Herpes zoster (HZ) typically manifests in the acute phase with distinct blisters and severe neuropathic pain. Remarkably, a subset of patients initially presents with only a mild skin rash and moderate pain that gradually intensifies, following a parabolic pattern. Despite being frequently observed in clinical settings, the underlying causes of this trajectory and its potential connection with post-herpetic neuralgia (PHN) remain unclear.
METHODS
To investigate this phenomenon in-depth, we conducted a meticulous retrospective study involving 529 eligible HZ patients. All these patients sought medical care at the Third Central Hospital of Tianjin, China, between January 2020 and December 2023.
RESULTS
The research identified that 14.6% of the sample (77 patients) experienced pain scores aligning with a parabolic curve. This trend was significantly more prevalent in patients aged 60 and above, accounting for 90.9% of this group, and demonstrated a positive correlation with age. Moreover, 87.0% of these patients had pre-existing medical conditions, highlighting the potential role of comorbidities in influencing the pain trajectory. A concerning 45.5% of patients sought medical attention more than seven days after the onset of symptoms, a delay that could exacerbate neurological damage. Notably, among those following a parabolic pain pattern, 66.2% eventually developed PHN, a considerably higher rate compared to the broader patient population.
CONCLUSION
We emphasize that healthcare practitioners meticulously assess patients who initially report lower pain scores for high-risk factors potentially leading to parabolic pain increases, including being over 60 years old, having comorbid conditions, and delaying medical consultation beyond seven days from symptom onset. Early implementation of supplementary pain management therapies may mitigate the risk of PHN development and enhance the quality of life for patients. This study furnishes clinicians with a deeper understanding of the variations in HZ-related pain trajectories, promising to improve treatment approaches and prognoses for HZ patients while paving the way for enriched clinical practice in the future.
PubMed: 38939514
DOI: 10.2147/JPR.S461590 -
Frontiers in Artificial Intelligence 2024The health inequalities experienced by ethnic minorities have been a persistent and global phenomenon. The diagnosis of different types of skin conditions, e.g.,... (Review)
Review
Technology innovation to reduce health inequality in skin diagnosis and to improve patient outcomes for people of color: a thematic literature review and future research agenda.
The health inequalities experienced by ethnic minorities have been a persistent and global phenomenon. The diagnosis of different types of skin conditions, e.g., melanoma, among people of color is one of such health domains where misdiagnosis can take place, potentially leading to life-threatening consequences. Although Caucasians are more likely to be diagnosed with melanoma, African Americans are four times more likely to present stage IV melanoma due to delayed diagnosis. It is essential to recognize that additional factors such as socioeconomic status and limited access to healthcare services can be contributing factors. African Americans are also 1.5 times more likely to die from melanoma than Caucasians, with 5-year survival rates for African Americans significantly lower than for Caucasians (72.2% vs. 89.6%). This is a complex problem compounded by several factors: ill-prepared medical practitioners, lack of awareness of melanoma and other skin conditions among people of colour, lack of information and medical resources for practitioners' continuous development, under-representation of people of colour in research, POC being a notoriously hard to reach group, and 'whitewashed' medical school curricula. Whilst digital technology can bring new hope for the reduction of health inequality, the deployment of artificial intelligence in healthcare carries risks that may amplify the health disparities experienced by people of color, whilst digital technology may provide a false sense of participation. For instance, Derm Assist, a skin diagnosis phone application which is under development, has already been criticized for relying on data from a limited number of people of color. This paper focuses on understanding the problem of misdiagnosing skin conditions in people of color and exploring the progress and innovations that have been experimented with, to pave the way to the possible application of big data analytics, artificial intelligence, and user-centred technology to reduce health inequalities among people of color.
PubMed: 38938325
DOI: 10.3389/frai.2024.1394386 -
ACS Applied Materials & Interfaces Jun 2024Integrating gels with human skin through wearables provides unprecedented opportunities for health monitoring technology and artificial intelligence. However, most...
Integrating gels with human skin through wearables provides unprecedented opportunities for health monitoring technology and artificial intelligence. However, most conductive hydrogels, organogels, and ionogels lack essential environmental stability, biocompatibility, and adhesion for reliable epidermal sensing. In this study, we have developed a liquid metal eutectogel simultaneously possessing superior viscoelasticity, semiflowability, and mechanical rigidity for low interfacial skin impedance, high skin adhesion, and durability. Liquid metal particles (LMPs) are employed to generate free radicals and gallium ions to accelerate the polymerization of acrylic acid monomers in a deep eutectic solvent (DES), obtaining highly viscoelastic polymer networks via physical cross-linking. In particular, graphene oxide (GO) is utilized to encapsulate the LMPs through a sonication-assisted electrostatic assembly to stabilize the LMPs in DES, which also enhances the mechanical toughness and regulates the rheological properties of the eutectogels. Our optimized semi-flowable eutectogel exhibits viscous fluid behavior at low shear rates, facilitating a highly conformable interface with hairy skin. Simultaneously, it demonstrates viscoelastic behavior at high shear rates, allowing for easy peel-off. These distinctive attributes enable the successful applications of on-skin adhesive strain sensing and high-fidelity human electrophysiological (EP) monitoring, showcasing the versatility of these ionically conductive liquid metal eutectogels in advanced personal health monitoring.
PubMed: 38938185
DOI: 10.1021/acsami.4c06728 -
Toxicology in Vitro : An International... Jun 2024Melanoma is a type of tumor skin with high metastatic potential. Reconstructed human skin, development for pre-clinic assay, are make using primary human cells, but with...
Melanoma is a type of tumor skin with high metastatic potential. Reconstructed human skin, development for pre-clinic assay, are make using primary human cells, but with same limitations. The aim this study was to characterize a cell culture model, with structure similar to human skin containing melanoma cells entirely from cell lines. Reconstructed skin with melanoma were development using human fibroblasts (MRC5), human epidermal keratinocytes (HaCat), and human melanoma (SK-MEL-28) embedded in collagen type I. The structure was characterized by hematoxylin-eosin stained, as well as points of melanoma cell invasion, which was associated with activity of MMPs (MMP-2 and MMP-9) by zymographic method. Then, the gene expression of the target molecular mechanisms involved in melanoma progression were evaluated. Here, the model development showed a region epidermis organized and separated from the dermis, with fibroblast cells confined and melanoma cells form delimited area invasion. MMP-2 and MMP-9 were identified during of cell culture and gene expression of BRAF, NRAS, and Vimentin was confirmed. The proposed model provides one more opportunity to study in vitro tumor biology of melanoma and also to allows the study of new drugs with more reliable results then whats we would find in vivo.
PubMed: 38936442
DOI: 10.1016/j.tiv.2024.105883 -
IEEE Transactions on Biomedical... Jun 2024Bioinspired robotics and smart prostheses have many applications in the healthcare sector. Patients can use them for rehabilitation or day-to-day assistance, allowing...
Bioinspired robotics and smart prostheses have many applications in the healthcare sector. Patients can use them for rehabilitation or day-to-day assistance, allowing them to regain some agency over their movements. The most common way to make these smart artificial limbs is by adding a "human-like" electronic skin to detect force and emulate touch detection. This paper presents a fully integrated CMOS-based stress sensor design with a high dynamic range (100 kPa to 100 MPa) supported by an adaptive gain-controlled chopping amplifier. The sensor chip includes four identical sensing structures capable of measuring the chip's local stress gradient and complete readout circuitry supporting data transfer via I2C protocol. The sensor takes 10.2 ms to measure through all four structures and goes into a low-power mode when not in use. The designed chip consumes a total current of ~300 μA for one complete operation cycle and ~30 μA during low power mode in simulations. Moreover, the complete design is CMOS-based, making it easier for large-scale commercial fabrication and more affordable for patients in the long run. This paper further proposes the concept of a tactile smart skin by integrating a network of sensor chips with flexible polymers.
PubMed: 38935474
DOI: 10.1109/TBCAS.2024.3420171 -
Telemedicine Journal and E-health : the... Jun 2024Blurry images in teledermatology and consultation increased the diagnostic difficulty for both deep learning models and physicians. We aim to determine the extent of...
Blurry images in teledermatology and consultation increased the diagnostic difficulty for both deep learning models and physicians. We aim to determine the extent of restoration in diagnostic accuracy after blurry images are deblurred by deep learning models. We used 19,191 skin images from a public skin image dataset that includes 23 skin disease categories, 54 skin images from a public dataset of blurry skin images, and 53 blurry dermatology consultation photos in a medical center to compare the diagnosis accuracy of trained diagnostic deep learning models and subjective sharpness between blurry and deblurred images. We evaluated five different deblurring models, including models for motion blur, Gaussian blur, Bokeh blur, mixed slight blur, and mixed strong blur. Diagnostic accuracy was measured as sensitivity and precision of correct model prediction of the skin disease category. Sharpness rating was performed by board-certified dermatologists on a 4-point scale, with 4 being the highest image clarity. The sensitivity of diagnostic models dropped 0.15 and 0.22 on slightly and strongly blurred images, respectively, and deblurring models restored 0.14 and 0.17 for each group. The sharpness ratings perceived by dermatologists improved from 1.87 to 2.51 after deblurring. Activation maps showed the focus of diagnostic models was compromised by the blurriness but was restored after deblurring. Deep learning models can restore the diagnostic accuracy of diagnostic models for blurry images and increase image sharpness perceived by dermatologists. The model can be incorporated into teledermatology to help the diagnosis of blurry images.
PubMed: 38934135
DOI: 10.1089/tmj.2023.0703 -
Sensors (Basel, Switzerland) Jun 2024Conventional passive ankle foot orthoses (AFOs) have not seen substantial advances or functional improvements for decades, failing to meet the demands of many...
Conventional passive ankle foot orthoses (AFOs) have not seen substantial advances or functional improvements for decades, failing to meet the demands of many stakeholders, especially the pediatric population with neurological disorders. Our objective is to develop the first comfortable and unobtrusive powered AFO for children with cerebral palsy (CP), the DE-AFO. CP is the most diagnosed neuromotor disorder in the pediatric population. The standard of care for ankle control dysfunction associated with CP, however, is an unmechanized, bulky, and uncomfortable L-shaped conventional AFO. These passive orthoses constrain the ankle's motion and often cause muscle disuse atrophy, skin damage, and adverse neural adaptations. While powered orthoses could enhance natural ankle motion, their reliance on bulky, noisy, and rigid actuators like DC motors limits their acceptability. Our innovation, the DE-AFO, emerged from insights gathered during customer discovery interviews with 185 stakeholders within the AFO ecosystem as part of the NSF I-Corps program. The DE-AFO is a biomimetic robot that employs artificial muscles made from an electro-active polymer called dielectric elastomers (DEs) to assist ankle movements in the sagittal planes. It incorporates a gait phase detection controller to synchronize the artificial muscles with natural gait cycles, mimicking the function of natural ankle muscles. This device is the first of its kind to utilize lightweight, compact, soft, and silent artificial muscles that contract longitudinally, addressing traditional actuated AFOs' limitations by enhancing the orthosis's natural feel, comfort, and acceptability. In this paper, we outline our design approach and describe the three main components of the DE-AFO: the artificial muscle technology, the finite state machine (the gait phase detection system), and its mechanical structure. To verify the feasibility of our design, we theoretically calculated if DE-AFO can provide the necessary ankle moment assistance for children with CP-aligning with moments observed in typically developing children. To this end, we calculated the ankle moment deficit in a child with CP when compared with the normative moment of seven typically developing children. Our results demonstrated that the DE-AFO can provide meaningful ankle moment assistance, providing up to 69% and 100% of the required assistive force during the pre-swing phase and swing period of gait, respectively.
Topics: Cerebral Palsy; Humans; Foot Orthoses; Child; Robotics; Ankle; Elastomers; Gait; Equipment Design; Biomechanical Phenomena
PubMed: 38931570
DOI: 10.3390/s24123787 -
Cancers Jun 2024Volatile organic compounds (VOCs) are an increasingly meaningful method for the early detection of various types of cancers, including lung cancer, through non-invasive...
Volatile organic compounds (VOCs) are an increasingly meaningful method for the early detection of various types of cancers, including lung cancer, through non-invasive methods. Traditional cancer detection techniques such as biopsies, imaging, and blood tests, though effective, often involve invasive procedures or are costly, time consuming, and painful. Recent advancements in technology have led to the exploration of VOC detection as a promising non-invasive and comfortable alternative. VOCs are organic chemicals that have a high vapor pressure at room temperature, making them readily detectable in breath, urine, and skin. The present study leverages artificial intelligence (AI) and machine learning algorithms to enhance classification accuracy and efficiency in detecting lung cancer through VOC analysis collected from exhaled breath air. Unlike other studies that primarily focus on identifying specific compounds, this study takes an agnostic approach, maximizing detection efficiency over the identification of specific compounds focusing on the overall compositional profiles and their differences across groups of patients. The results reported hereby uphold the potential of AI-driven techniques in revolutionizing early cancer detection methodologies towards their implementation in a clinical setting.
PubMed: 38927906
DOI: 10.3390/cancers16122200