mRNAs in skin surface lipids unveiled atopic dermatitis at 1 month.

BACKGROUND: The molecular pathogenesis of atopic dermatitis (AD), presenting skin barrier dysfunction and abnormal inflammations around 1-2 months, is unreported. OBJECTIVE: We aimed to examine the molecular pathogenesis of very early-onset AD by skin surface lipid-RNA (SSL-RNA) using a non-invasive technology in infants aged 1 and 2 months from a prospective cohort. METHODS: We collected sebum by oil-blotting film of infants aged 1 and 2 months and analysed RNAs in their sebum. We diagnosed AD according to the United Kingdom Working Party's criteria. RESULTS: Infants with AD aged 1 month showed lower expression of genes related to various lipid metabolism and synthesis, antimicrobial peptides, tight junctions, desmosomes and keratinization. They also had higher expression of several genes involved in Th2-, Th17- and Th22-type immune responses and lower expression of negative regulators of inflammation. In addition, gene expressions related to innate immunity were higher in AD infants. Infants aged 1 month with neonatal acne and diagnosed with AD aged 2 months already had gene expression patterns similar to AD aged 1 month in terms of redox, lipid synthesis, metabolism and barrier-related gene expression. CONCLUSION: We identified molecular changes in barrier function and inflammatory markers that characterize the pathophysiology of AD in infants aged 1 month. We also revealed that neonatal acne at 1 month could predict the subsequent development of AD by sebum transcriptome data.

Non-invasive evaluation of subjective sensitive skin by transcriptomics using mRNA in skin surface lipids.

Sensitive skin is a condition characterized by hypersensitivity to environmental stimuli, and its pathophysiology has not been fully elucidated. Questionnaires based on subjective symptoms, intervention tests, and measuring devices are used to diagnose sensitive skin; however, objective evaluation methods, including biomarkers, remain to be established. This study aimed to investigate the molecular profiles of self-reported sensitive skin, understand its pathophysiology and explore its biomarkers. Here, we analysed RNAs in skin surface lipids (SSL-RNAs), which can be obtained non-invasively by wiping the skin surface with an oil-blotting film, to compare the transcriptome profiles between questionnaire-based "sensitive" (n = 11) and "non-sensitive" (n = 10) skin participants. Exactly 417 differentially expressed genes in SSL-RNAs from individuals with sensitive skin were identified, of which C-C motif chemokine ligand 17 and interferon-γ pathways were elevated, while 50 olfactory receptor (OR) genes were downregulated. The expression of the detectable 101 OR genes was lower in individuals with sensitive skin compared to that in those with non-sensitive skin and was particularly associated with the subjective sensitivity among skin conditions. The receiver operating characteristic (ROC) curve demonstrated that the mean expression levels of OR genes in SSL-RNAs could discriminate subjective skin sensitivity with an area under the ROC curve of 0.836. SSL-RNA profiles suggest a mild inflammatory state in sensitive skin, and overall OR gene expression could be a potential indicator for sensitive skin.

[A case of mediastinal pancreatic pseudocyst accompanied by pancreatic pleural effusion].

A 62-year-old man was admitted with dyspnea. Computed tomography (CT) revealed left massive pleural effusion and a cystic lesion in the posterior mediastinal compartment extending to the pancreatic head via the esophageal hiatus. The pleural effusion had a high amylase content. Based on these findings, we diagnosed mediastinal pancreatic pseudocyst accompanied by pancreatic pleural effusion. We treated him with CT-guided puncture and endoscopic pancreatic drainage. Endoscopic pancreatic treatment is possible for pancreatic pseudocysts.

Non-invasive human skin transcriptome analysis using mRNA in skin surface lipids.

Non-invasive acquisition of mRNA data from the skin can be extremely useful for understanding skin physiology and diseases. Inspired by the holocrine process, in which the sebaceous glands secrete cell contents into the sebum, we focused on the possible presence of mRNAs in skin surface lipids (SSLs). We found that measurable levels of human mRNAs exist in SSLs, where the sebum protects them from degradation by RNases. The AmpliSeq transcriptome analysis was modified to measure SSL-RNA levels, and our results revealed that the SSL-RNAs predominantly comprised mRNAs derived from sebaceous glands, the epidermis, and hair follicles. Analysis of SSL-RNAs non-invasively collected from patients with atopic dermatitis revealed increased expression of inflammation-related genes and decreased expression of terminal differentiation-related genes, consistent with the results of previous reports. Further, we found that lipid synthesis-related genes were downregulated in the sebaceous glands of patients with atopic dermatitis. These results indicate that the analysis of SSL-RNAs is a promising strategy to understand the pathophysiology of skin diseases.

Non-invasive diagnostic tool for Parkinson's disease by sebum RNA profile with machine learning.

Parkinson's disease (PD) is a progressive neurodegenerative disease presenting with motor and non-motor symptoms, including skin disorders (seborrheic dermatitis, bullous pemphigoid, and rosacea), skin pathological changes (decreased nerve endings and alpha-synuclein deposition), and metabolic changes of sebum. Recently, a transcriptome method using RNA in skin surface lipids (SSL-RNAs) which can be obtained non-invasively with an oil-blotting film was reported as a novel analytic method of sebum. Here we report transcriptome analyses using SSL-RNAs and the potential of these expression profiles with machine learning as diagnostic biomarkers for PD in double cohorts (PD [n = 15, 50], controls [n = 15, 50]). Differential expression analysis between the patients with PD and healthy controls identified more than 100 differentially expressed genes in the two cohorts. In each cohort, several genes related to oxidative phosphorylation were upregulated, and gene ontology analysis using differentially expressed genes revealed functional processes associated with PD. Furthermore, machine learning using the expression information obtained from the SSL-RNAs was able to efficiently discriminate patients with PD from healthy controls, with an area under the receiver operating characteristic curve of 0.806. This non-invasive gene expression profile of SSL-RNAs may contribute to early PD diagnosis based on the neurodegeneration background.

Adsorptive Property of Food Materials and Chemicals to Cesium and Strontium.

In March, 2011, large amounts of radioactive materials were released from the Fukushima Daiichi nuclear power plant after the nuclear accident. Especially, for humans, internal exposure to ¹³7Cs and 9°Sr radionuclides presents very high risks because of their very long physical half-lives (¹³7Cs: 30.2 years, 9°Sr: 28.9 years). Therefore, it is important to inhibit the absorption of radioactive materials and to promote the excretion of them from the body through feces. The aim of this.study was to explore foods, their components and various chemicals showing adsorption properties to Cs and Sr. Sodium alginate (ALA-Na) strongly adsorbed Cs and Sr compared with other samples. Chondroitin sulfate, carboxymethyl cellulose sodium (CMC-Na), methyl cellulose (MC) and apple polyphenols (AP; high molecule weight) also showed adsorption potency to Cs in that order. For Sr adsorption, kelp, CMC-Na, MC, AP (high molecule weight), laminaran and Jew's mallow exhibited adsorbing effects in that order. These samples might be useful and safe tools to protect from the adverse effects induced by internal exposure to these radioactive materials.