human nail
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2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Hyun Je Kim ◽  
Joon Ho Shim ◽  
Ji-Hye Park ◽  
Hyun Tae Shin ◽  
Jong Sup Shim ◽  
...  

AbstractResearch on human nail tissue has been limited by the restricted access to fresh specimen. Here, we studied transcriptome profiles of human nail units using polydactyly specimens. Single-cell RNAseq with 11,541 cells from 4 extra digits revealed nail-specific mesenchymal and epithelial cell populations, characterized by RSPO4 (major gene in congenital anonychia) and SPINK6, respectively. In situ RNA hybridization demonstrated the localization of RSPO4, MSX1 and WIF1 in onychofibroblasts suggesting the activation of WNT signaling. BMP-5 was also expressed in onychofibroblasts implicating the contribution of BMP signaling. SPINK6 expression distinguished the nail-specific keratinocytes from epidermal keratinocytes. RSPO4+ onychofibroblasts were distributed at close proximity with LGR6+ nail matrix, leading to WNT/β-catenin activation. In addition, we demonstrated RSPO4 was overexpressed in the fibroblasts of onychomatricoma and LGR6 was highly expressed at the basal layer of the overlying epithelial component, suggesting that onychofibroblasts may play an important role in the pathogenesis of onychomatricoma.


Author(s):  
Pascal Kintz ◽  
Laurie Gheddar ◽  
Jean‐Sébastien Raul
Keyword(s):  

Author(s):  
R. Sharine ◽  
J. Sharon ◽  
Dr. G. S. Uthayakumar

Human’s hand nail is analysed to identify many diseases at early stage of diagnosis. Study of person hand nail colour helps in identification of particular disease in healthcare domain. The proposed system guides in such scenario to take decision in disease diagnosis. The input to the proposed system is person nail image. The system will process an image of nail and extract features of nail which is used for disease diagnosis. Human nail consist of various features, out of which proposed system uses nail colour changes for disease diagnosis. Here, first training set data is prepared using Weka tool from nail images of patients of specific diseases. A feature extracted from input nail image is compared with the training dataset to get result. In this experiment we found that using color feature of nail image average 65% results are correctly matched with training set data during three tests conducted. Finally, the early-stage diseases are diagnosed using the Human Nail.


2021 ◽  
Vol 6 (1) ◽  
pp. 36-44
Author(s):  
Nahyeon Kim ◽  
Jungsoon Choi ◽  
Seona Baek
Keyword(s):  

2021 ◽  
Vol 123 ◽  
pp. 104903
Author(s):  
Riana Phillips ◽  
Ann-Katrin Kraeuter ◽  
Brett McDermott ◽  
Sonia Lupien ◽  
Zoltán Sarnyai

scholarly journals ABSTRACT Various body parts or organs can be analysed to identify the different diseases in the human body. Fingernail analysis is one of the ways to identify disease in the human body. Nails are the body part which are farthest from the heart and therefore receive oxygen at last. As a result the nails are the first who show the symptoms of a disease in the human body. Fingernails can be easily captured for diagnosis and there are no heavy equipment or no specific conditions required to use nail image for disease diagnosis, like in other tests and scanning processes. Human nails deliver beneficial information about complaints or any nutritive imbalances in the human body depending upon their shape, texture and colour. In human beings, numerous systemic and skin diseases can be easily analyzed through careful examination of nails of both the limbs. A lot of nail illnesses have been found to be primary signs of numerous underlying systemic illnesses. The colour, texture or shape changes in nails are signs of many diseases mainly affecting nails. Considering all these properties of nails a system is proposed that uses digital image processing (DIP) methods for identifying such changes in the human nail to get more precise results and predict numerous diseases effortlessly. With the emerging Internet of Things (IOT) concept the generated report is made available remotely, this will help users to reduce transportation efforts. As the system has to deal with large and private data, the security of data must be ensured. To keep the data confidential, the Blockchain concept which is one of the most emerging concepts in the field of data management is used. The paper contains the implementation of the digital image processing for feature extraction of nail images, usage of IOT (ThingSpeak cloud) for data storage and implementation of Blockchain to keep the system secured and theft free. KEY WORDS: Int ernet of thin gs (IOT), Image proc essin g, Thin gSpeak, RG B vavalues, Mean pi xel vavalues, Bloc kchain , Hash key. Disease Diagnostic System: Abnormalities in Human Nail

2020 ◽  
Vol 13 (14) ◽  
pp. 452-457
Author(s):  
Pranav S. Wazarkar

2020 ◽  
Vol 16 (4) ◽  
pp. 633-640
Author(s):  
Sadik Toprak ◽  
Fatih Kahriman ◽  
Zekeriya Dogan ◽  
Gokhan Ersoy ◽  
Emine Yilmaz Can ◽  
...  

Molecules ◽  
2020 ◽  
Vol 25 (13) ◽  
pp. 3043
Author(s):  
Indrė Šveikauskaitė ◽  
Vitalis Briedis

Naftifine is used to treat fungal skin infections as it inhibits dermatophytes, which are the cause of onychomycosis. However, naftifine’s ability to permeate the human nail barrier has not been investigated, thus, the antimycotic potential is not clearly established. This work aims to evaluate the effect of penetration enhancing factors on the accumulation of naftifine hydrochloride through human nail clippings. Naftifine polymeric nail lacquers with Eudragit RL100 were developed as a suitable delivery system. Low penetration of naftifine into nail has been determined as less than 10% of applied drug dose accumulated in the nail layers. Incorporation of thioglycolic acid into formulations resulted in increased accumulation of antifungal agent in the nail layers by 100% compared with a control group. Salicylic acid did not effect naftifine accumulation in the human nail. The permeation of naftifine through the nail increased by threefold when the thioglycolic acid-containing formulation was applied and the nail was pretreated with a fractional CO2 laser. Structural changes of the nail barrier, induced by fractional CO2 laser, were visualized by microscopy. The results suggest, that naftifine nail penetration could be significantly increased when physical and chemical enhancing factors are applied.


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