scholarly journals Skin Microbiota of the Captive Giant Panda (Ailuropoda Melanoleuca) and the Distribution of Opportunistic Skin Disease-Associated Bacteria in Different Seasons

2021 ◽  
Vol 8 ◽  
Author(s):  
Xiaoping Ma ◽  
Gen Li ◽  
Chao Yang ◽  
Ming He ◽  
Chengdong Wang ◽  
...  
Keyword(s):  
Skin Disease ◽  
Giant Panda ◽  
Skin Diseases ◽  
Bacterial Flora ◽  
Skin Microbiota ◽  
Pathogenic Potential ◽  
Giant Pandas ◽  
Associated Bacteria ◽  
Skin Bacteria ◽  
Different Seasons

The giant panda is one of the rarest animals in the world. Skin diseases seriously endanger the health of giant panda and are considered the second major cause of its morbidity. Skin microbiota is a complex ecosystem, and the community structure and the pathogenic potential of bacteria on giant panda skin remain largely unclear. In order to understand the skin bacterial flora of captive giant pandas, the microbiota in giant panda skin samples collected during different seasons was profiled via 16S rRNA gene sequencing. In total, 522 genera from 53 bacterial phyla were detected, with Proteobacteria (40.5%), Actinobacteria (23.1%), Firmicutes (21.1%), Bacteroidetes (9.5%), Cyanobacteria (2.1%), and Thermi (1.2%) as the predominant phyla and Streptococcus (13.9%), Acinetobacter (9.2%), Staphylococcus (2.9%), Pseudomonas (5.9%), Dermacoccus (4.8%), Brachybacterium (2.9%), Escherichia (2.7%), Chryseobacterium (2.1%), Arthrobacter (1.6%), Kocuria (1.5%), Psychrobacter (1.2%), Deinococcus (1.1%), and Flavobacterium (1.1%) as the predominant genera. The results indicated that the diversity was lower in winter than in other seasons and higher in autumn than in other seasons, and the abundance in spring was significantly higher than that in other seasons. Several skin disease-associated bacteria were detected as opportunists in the skin microbiota of healthy giant pandas. In this study, the results indicated that the high diversity and abundance of the skin bacteria may have enhanced the occurrence of skin disease in autumn and spring and that skin disease-associated bacteria are the normal components of the skin microbiota.

scholarly journals Skin Mycobiota of the Captive Giant Panda (Ailuropoda melanoleuca) and the Distribution of Opportunistic Dermatomycosis-Associated Fungi in Different Seasons

2021 ◽  
Vol 8 ◽  
Author(s):  
Xiaoping Ma ◽  
Gen Li ◽  
Yaozhang Jiang ◽  
Ming He ◽  
Chengdong Wang ◽  
...  
Keyword(s):  
Giant Panda ◽  
18S Rrna Gene ◽  
Rrna Gene ◽  
Ailuropoda Melanoleuca ◽  
Skin Microbiota ◽  
Giant Pandas ◽  
Different Seasons ◽  
Complex Ecosystem ◽  
Rrna Gene Sequencing ◽  
High Diversity

Dermatomycosis is the second major cause of morbidity in giant pandas (Ailuropoda melanoleuca), and seriously endangers its health. Previous observations indicated that the occurrence of dermatomycosis in the giant panda varies in different seasons. The skin microbiota is a complex ecosystem, but knowledge on the community structure and the pathogenic potentials of fungi on the skin of the giant panda remains limited. In this study, samples from the giant panda skin in different seasons were collected, and the mycobiota were profiled by 18S rRNA gene sequencing. In total, 375 genera in 38 phyla were detected, with Ascomycota, Basidiomycota, Streptophyta, and Chlorophyta as the predominant phyla and Trichosporon, Guehomyces, Davidiella, Chlorella, Asterotremella, and Klebsormidium as the predominant genera. The skin mycobiota of the giant panda changed in the seasons, and the diversity and abundance of the skin fungi were significantly higher in spring, autumn, and summer than in the winter. Several dermatomycosis-associated fungi were detected as opportunists in the skin mycobiota of healthy giant pandas. Clinical dermatomycosis in the giant panda is observed more in summer and autumn. In this study, the results indicated that the high diversity and abundance of the skin fungi may have enhanced the occurrence of dermatomycosis in autumn and summer, and that dermatomycosis-associated fungi are the normal components of the skin mycobiota.

scholarly journals Relationship between Skin Microbiota and Skin Biophysical Parameters in Inflammatory Skin Disease: A Systematic Review

2021 ◽  
Vol 7 (1) ◽  
pp. 1-6
Author(s):  
Paola Perugini ◽  
Keyword(s):  
Systematic Review ◽  
Atopic Dermatitis ◽  
Skin Diseases ◽  
Bacterial Flora ◽  
Skin Microbiota ◽  
Biophysical Parameters ◽  
Microbial Composition ◽  
Inflammatory Skin Diseases ◽  
Starting Point ◽  
Inflammatory Skin

Many recent studies highlight the importance of skin microbiota for skin health. Alterations in the balance of bacterial flora cause the development of inflammatory skin diseases such as acne, atopic dermatitis, or psoriasis. This systematic review aims to investigate the relationship, in these skin diseases, between skin microbiota and skin biophysical parameters, such as pH, Transepidermal Water Loss (TEWL), Hydration (HI) and sebum levels. Google Scholar, Medline via Pubmed, and Web of Science were considered as scientific database to search studies about this topic. Research about acne and psoriasis did not produce any results. For this reason, in this review, only articles concerning atopic dermatitis were discussed. Therefore, a possible correlation between skin barrier functionality and microbial composition was also investigated. So, this could be a starting point for the diagnosis of atopic dermatitis or, more generally, for all inflammatory skin diseases.

Development of Dermatological Skin Disease Detection and Classification based on Wavelet and ANN

2018 ◽  
Vol 8 (5) ◽  
pp. 10
Author(s):  
Revati Kadu ◽  
U. A. Belorkar
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Skin Disease ◽  
Skin Diseases ◽  
Screening Method ◽  
Phase Detection ◽  
Statistical Measures ◽  
The World ◽  
Artificial Neural ◽  
Wavelet Techniques

One of the most common and augmenting health problems in the world are related to skin. The most  unpredictable and one of the most difficult entities to automatically detect and evaluate is the human skin disease because of complexities of texture, tone, presence of hair and other distinctive features. Many cases of skin diseases in the world have triggered a need to develop an effective automated screening method for detection and diagnosis of the area of disease. Therefore the objective of this work is to develop a new technique for automated detection and analysis of the skin disease images based on color and texture information for skin disease screening. In this paper, system is proposed which detects the skin diseases using Wavelet Techniques and Artificial Neural Network. This paper presents a wavelet-based texture analysis method for classification of five types of skin diseases. The method applies tree-structured wavelet transform on different color channels of red, green and blue dermoscopy images, and employs various statistical measures and ratios on wavelet coefficients. In all 99 unique features are extracted from the image. By using Artificial Neural Network, the system successfully detects different types of dermatological skin diseases. It consists of mainly three phases image processing, training phase, detection  and classification phase.

scholarly journals Single-cell RNA-seq reveals fibroblast heterogeneity and increased mesenchymal fibroblasts in human fibrotic skin diseases

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Cheng-Cheng Deng ◽  
Yong-Fei Hu ◽  
Ding-Heng Zhu ◽  
Qing Cheng ◽  
Jing-Jing Gu ◽  
...  
Keyword(s):  
Single Cell ◽  
Skin Disease ◽  
Skin Diseases ◽  
Rna Seq ◽  
Fibrotic Disease ◽  
Functional Studies ◽  
Fibrotic Diseases ◽  
Fibroblast Heterogeneity ◽  
Keloid Fibroblasts ◽  
Excessive Accumulation

AbstractFibrotic skin disease represents a major global healthcare burden, characterized by fibroblast hyperproliferation and excessive accumulation of extracellular matrix. Fibroblasts are found to be heterogeneous in multiple fibrotic diseases, but fibroblast heterogeneity in fibrotic skin diseases is not well characterized. In this study, we explore fibroblast heterogeneity in keloid, a paradigm of fibrotic skin diseases, by using single-cell RNA-seq. Our results indicate that keloid fibroblasts can be divided into 4 subpopulations: secretory-papillary, secretory-reticular, mesenchymal and pro-inflammatory. Interestingly, the percentage of mesenchymal fibroblast subpopulation is significantly increased in keloid compared to normal scar. Functional studies indicate that mesenchymal fibroblasts are crucial for collagen overexpression in keloid. Increased mesenchymal fibroblast subpopulation is also found in another fibrotic skin disease, scleroderma, suggesting this is a broad mechanism for skin fibrosis. These findings will help us better understand skin fibrotic pathogenesis, and provide potential targets for fibrotic disease therapies.

scholarly journals Anti-pathogenic Potential of Coral Associated Bacteria Isolated from Gulf of Mannar Against Pseudomonas aeruginosa

2012 ◽  
Vol 53 (1) ◽  
pp. 111-113 ◽  
Author(s):  
Dhamodharan Bakkiyaraj ◽  
Chandran Sivasankar ◽  
Shunmugiah Karutha Pandian
Keyword(s):  
Pseudomonas Aeruginosa ◽  
Gulf Of Mannar ◽  
Pathogenic Potential ◽  
Associated Bacteria

scholarly journals Delayed implantation in giant pandas: the first comprehensive empirical evidence

Reproduction ◽  
2009 ◽  
Vol 138 (6) ◽  
pp. 979-986 ◽  
Author(s):  
Hemin Zhang ◽  
Desheng Li ◽  
Chendong Wang ◽  
Vanessa Hull
Keyword(s):  
Reproductive Biology ◽  
Giant Panda ◽  
Reproductive Development ◽  
Mammary Glands ◽  
Strongly Correlated ◽  
Physiological Changes ◽  
Giant Pandas ◽  
Delayed Implantation ◽  
Infant Birth ◽  
First Time

Successful conservation of an endangered species relies on a good understanding of its reproductive biology, but there are large knowledge gaps. For example, many questions remain unanswered with regard to gestation and fetal development in the giant panda. We take advantage of a sample size that is unprecedented for this species (n=13) to explore patterns in reproductive development across individuals at the China Conservation and Research Center for the Giant Panda. We use ultrasound techniques on multiple giant pandas for the first time to empirically confirm what has long been suspected that pandas exhibit delayed implantation of the embryo. We also show that the duration of postfetal detection period is remarkably similar across individuals (16.85±1.34 days). Detection of fetus by ultrasound was strongly correlated to the peak in urinary progesterone (r=0.96, t=8.48, d.f.=8, P=0.0001) and swelling in the mammary glands (r=0.79, t=3.61, d.f.=8, P=0.007) and vulva (r=0.91, t=6.40, d.f.=8, P=0.0002) of adult females. When controlling for both the duration of the total gestation period and the postfetal detection period, infant birth weight was only significantly predicted by the latter (β=11.25, s.e.m.=4.98, t=2.26, P=0.05), suggesting that delayed implantation increases flexibility in the timing of birth but is not important in dictating infant growth. This study informs reproductive biology by exploring the little-studied phenomenon of delayed implantation in relationship to physiological changes in pregnant giant panda females.

Approach to the Diagnosis of Skin Disease

2017 ◽  
Author(s):  
Robert T Brodell ◽  
Stephen E Helms ◽  
Lindsey B Dolohanty
Keyword(s):  
Key Words ◽  
Skin Disease ◽  
Skin Diseases ◽  
Suggested Approach ◽  
Diagnostic Skills ◽  
Diagnosis Errors

The diagnosis of skin disease is not something that changes radically year to year. In fact, for hundreds of years physicians have been assessing the skin to diagnose and treat skin diseases and  to “view” internal diseases. The latest edition of this review provides several updates that enhance our approach to the diagnosis of skin disease with active links to updated digital references and atlases. These will be valuable to students, residents, and physicians interested in improving their dermatologic diagnostic skills. A new algorithm highlights our suggested approach to cutaneous diagnoses. It is our hope that readers will begin to “think like dermatologists” as they digest the contents of this review.  Key words: Macule, papule, vesicle, bulla, plaque, excoriation, scale, ulceration, diagnosis, errors This review contains 13 figures, 5 tables, 17 references, and 7 additional readings.

The Importance of Skin Disease as Assessed by “Willingness-To-Pay”

2003 ◽  
Vol 7 (5) ◽  
pp. 369-371 ◽  
Author(s):  
Lauren Parks ◽  
Rajesh Balkrishnan ◽  
Line Hamel-Gariépy ◽  
Steven R. Feldman
Keyword(s):  
Willingness To Pay ◽  
Skin Disease ◽  
Skin Diseases ◽  
Medical Conditions ◽  
Monthly Basis ◽  
Related Quality ◽  
Health Related ◽  
Optimal Resource ◽  
The Impact

Background: To achieve optimal resource allocation in health care, it is necessary to value competing resource uses according to the benefit derived from those uses. Skin disease makes as great an impact as other serious medical conditions when assessed by effects on health-related quality of life. Objective: To confirm the high impact of skin disease by comparing patients' willingness to pay (WTP) to be cured or relieved from symptoms of skin and nonskin conditions. Methods: We searched the published literature on WTP to compare the impact of dermatologic conditions with the impact of other medical conditions. A total of 46 articles were identified of which 10 included information on willingness to pay for cure reported on a monthly basis. Results: WTP for skin diseases fell in the range of $125–260/month and was comparable or higher than all but one of the other identified conditions. Conclusion: Willingness to pay for relief from skin diseases is comparable to that for relief of other serious medical conditions. Skin diseases are associated with a significant adverse impact on patients' lives.

scholarly journals Skin disease prevalence study in schoolchildren in rural Côte d'Ivoire: Implications for integration of neglected skin diseases (skin NTDs)

2018 ◽  
Vol 12 (5) ◽  
pp. e0006489 ◽  
Author(s):  
Rie Roselyne Yotsu ◽  
Kouamé Kouadio ◽  
Bamba Vagamon ◽  
Konan N’guessan ◽  
Amari Jules Akpa ◽  
...  
Keyword(s):  
Cote D'ivoire ◽  
Skin Disease ◽  
Côte D’Ivoire ◽  
Skin Diseases ◽  
Disease Prevalence ◽  
Prevalence Study ◽  
Cote D’Ivoire ◽  
Côte D'ivoire

scholarly journals Stigmatisation and body image impairment in dermatological patients: protocol for an observational multicentre study in 16 European countries

BMJ Open ◽  
2018 ◽  
Vol 8 (12) ◽  
pp. e024877 ◽  
Author(s):  
Florence J Dalgard ◽  
Anthony Bewley ◽  
Andrea W Evers ◽  
Uwe Gieler ◽  
Lars Lien ◽  
...  
Keyword(s):  
Body Image ◽  
Multicentre Study ◽  
Skin Disease ◽  
Skin Diseases ◽  
European Countries ◽  
Background Information ◽  
Psychosocial Burden ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
General Anxiety Disorder

IntroductionPatients with common skin diseases may have substantial psychosocial comorbidity and reduced quality of life. This study aims at exploring further the psychosocial burden of skin diseases by assessing stigmatisation and body image problems in a large sample of patients with skin disease across Europe.Methods and analysisThe study is an observational cross-sectional multicentre study across 16 European countries comparing stigmatisation and body image in patients with skin disease compared with controls. Consecutive patients will be recruited in outpatient clinics and will complete validated questionnaires prior to clinical examination by a dermatologist at each recruitment site. In addition to sociodemographic background information, the outcomes will be: mood disorders assessed by short versions of the Patient Health Questionnaire and the General Anxiety Disorder Assessment; general health assessed by the EuroQol-Visual Analogue Scale; stigmatisation experience assessed by the Perceived Stigmatisation Questionnaire; stress assessed by the Perceived Stress Scale and body image assessed by the Dysmorphic Concern Questionnaire. The main criteria for eligibility are to be 18 years old or more. The analysis will include comparison between patients and controls for the main outcomes using t-tests, analyses of covariance and multivariate logistic regression models adjusting for potential confounding factors.Ethics and disseminationThe study protocol is approved by the University of Giessen and by the local Ethical Committee in each recruitment centre. Informed consent will be given by each participant. The results of the study will be disseminated by publications in international peer-reviewed journals and presented at international conferences and general public conferences. Results will influence support intervention and management of patients with skin disease across Europe.Trial registration numberDRKS00012745; Pre-results.

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