(ISSN 2638-1311)
OBM Geriatrics is an international peer-reviewed Open Access journal published quarterly online by LIDSEN Publishing Inc. The journal takes the premise that innovative approaches – including gene therapy, cell therapy, and epigenetic modulation – will result in clinical interventions that alter the fundamental pathology and the clinical course of age-related human diseases. We will give strong preference to papers that emphasize an alteration (or a potential alteration) in the fundamental disease course of Alzheimer’s disease, vascular aging diseases, osteoarthritis, osteoporosis, skin aging, immune senescence, and other age-related diseases.
Geriatric medicine is now entering a unique point in history, where the focus will no longer be on palliative, ameliorative, or social aspects of care for age-related disease, but will be capable of stopping, preventing, and reversing major disease constellations that have heretofore been entirely resistant to interventions based on “small molecular” pharmacological approaches. With the changing emphasis from genetic to epigenetic understandings of pathology (including telomere biology), with the use of gene delivery systems (including viral delivery systems), and with the use of cell-based therapies (including stem cell therapies), a fatalistic view of age-related disease is no longer a reasonable clinical default nor an appropriate clinical research paradigm.
Precedence will be given to papers describing fundamental interventions, including interventions that affect cell senescence, patterns of gene expression, telomere biology, stem cell biology, and other innovative, 21st century interventions, especially if the focus is on clinical applications, ongoing clinical trials, or animal trials preparatory to phase 1 human clinical trials.
Papers must be clear and concise, but detailed data is strongly encouraged. The journal publishes a variety of article types (Original Research, Review, Communication, Opinion, Comment, Conference Report, Technical Note, Book Review, etc.). There is no restriction on the length of the papers and we encourage scientists to publish their results in as much detail as possible.
Publication Speed (median values for papers published in 2023): Submission to First Decision: 5.7 weeks; Submission to Acceptance: 17.9 weeks; Acceptance to Publication: 7 days (1-2 days of FREE language polishing included)
Special Issue
Utilizing Big Data to Elucidate Skin Aging [Big Data in Skin Aging]
Submission Deadline: April 15, 2023 (Open) Submit Now
Guest Editor
Raya Khanin, PhD, Associate Professor
LifeNome Inc., New York, NY, USA
Research Interests: Computational genomics; Translational bioinformatics; Precision medicine
About this Topic:
After several decades of studying skin aging, many molecular processes have been elucidated, but many still remain a mystery. Understanding processes underlying skin aging is important for various reasons. Firstly, skin aging is the most recognizable and often the most psychologically difficult aspect of aging. At the same time, skin aging is potentially also one of the most amenable to intervention, prevention and rejuvenation. Gigantic cosmetic, aesthetic and pharmaceutical industries focus on anti-aging therapies to reverse aging. Finally, skin aging can be regarded as an ideal model for studying tissue aging.
Wide acceptance of genomic technologies from DNA genotyping to RNA sequencing, metabolomics, proteome profiling and metagenomics, brought about a new era in Life Sciences, and Medicine in general. These technologies have been increasingly used to study skin aging, effect of the environment on skin conditions, and efficacy of ingredients. Moreover, an enormous number of images from professional to selfies enable integration of different data types to zoom into biology underlying facial and hair aging processes, leading to personalized or precision approaches in beauty.
The current issue solicits research studies that use biological high-throughput data, image analysis and other big data to (i) elucidate skin aging processes (ii) identify biomarkers of skin aging (iii) discover novel skincare ingredients, dermatology approaches, or novel applications (iv) determine genetic and other biological factors for different types of skin aging, and skincare ingredient efficacy and (v) paving the way to personalized anti-aging approaches.
Manuscript Submission Information
Manuscripts should be submitted through the LIDSEN Submission System. Detailed information on manuscript preparation and submission is available in the Instructions for Authors. All submitted articles will be thoroughly refereed through a single-blind peer-review process and will be processed following the Editorial Process and Quality Control policy. Upon acceptance, the article will be immediately published in a regular issue of the journal and will be listed together on the special issue website, with a label that the article belongs to the Special Issue. LIDSEN distributes articles under the Creative Commons Attribution (CC BY 4.0) License in an open-access model. The authors own the copyright to the article, and the article can be free to access, distribute, and reuse provided that the original work is correctly cited.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). Research articles and review articles are highly invited. Authors are encouraged to send the tentative title and abstract of the planned paper to the Editorial Office (geriatrics@lidsen.com) for record. If you have any questions, please do not hesitate to contact the Editorial Office.
Welcome your submission!
Publication
Cell Level- Modeling of Aging and RejuvenationAbstract Understanding processes related to human aging and rejuvenation relies on experimental data and advanced models operating at different levels. There are several existing conceptual and specific modeling approaches. However, one of the existing tasks is compiling generic models linking properties at cell and cell-element levels to properties [...] |
Use of Artificial Intelligence in Skin AgingAbstract Skin aging is a complex process that involves several extrinsic and intrinsic factors and skin health is an indicator of the well-being of an individual. In recent years, there have been numerous developments using computerized systems to aid in finding solutions and treatments to skin aging processes. Tools like artificial intelli [...] |
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