Histologically, drug eruptions may present virtually all patterns of inflammation in the skin, including spongiotic, lichenoid and psoriasiform dermatitis as well as vasculitis or panniculitis. Drug reactions may mimic specific skin diseases such as lupus erythematosus, lichen planus or lymphoma. While a single drug may cause a wide range of reaction patterns, no reaction pattern is specific for a certain drug. Nevertheless, some reactions are quite characteristic for certain drugs as for example psoriasiform dermatitis for anti-TNF agents or folliculitis for epidermal growth factor receptor antagonists. Heightened awareness to the possible mimicry of other skin diseases as well as integration of clinical data is pivotal for the appropriate histological diagnosis of drug reactions in the skin. For practical reasons and in the aim of helping clinicians, the different drug reactions described in this chapter are classified according to the main histological reaction pattern present. Nevertheless, this classification may be somewhat artificial in some cases as drug reactions often reveal a coexistence of different reaction patterns.
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http://dx.doi.org/10.1159/000335616 | DOI Listing |
ACS Biomater Sci Eng
January 2025
Department of Materials Science and Bioengineering, Nagaoka University of Technology, Kamitomioka 1603-1, Nagaoka, Niigata 940-2188, Japan.
Octacalcium phosphate (OCP) has been used as a bone replacement material due to its higher bone affinity. However, the mechanism of affinity has not been clarified. Since the 100 crystalline plane of OCP is closely involved in the biological reactions during osteogenesis, it is important to expose the 100 crystalline plane of OCP to the biological fluid to precisely measure the interfacial reactions.
View Article and Find Full Text PDFBMJ Open
January 2025
Department of General Practice, University College Cork, Cork, Ireland
Objectives: To describe the prevalence of sub-optimal monitoring for selected higher-risk medicines in older community-dwelling adults and to evaluate patient characteristics and outcomes associated with sub-optimal monitoring.
Study Design: Retrospective observational study (2011-2015) using historical general practice-based cohort data and linked dispensing data from a national pharmacy claims database.
Setting: Irish primary care.
Ann Allergy Asthma Immunol
January 2025
Center for Drug Safety and Immunology, Vanderbilt University Medical Centre, Nashville, Tennessee, USA; Institute for Immunology and Infectious Diseases, Murdoch University, Murdoch, Western Australia, Australia.
Background: Donor acquired allergy (DAA) occurs when donors transfer their allergies to recipients through solid organ transplant (SOT). However, the risk of DAA in recipients of organs from allergic donors has not been systematically characterized.
Objective: We sought to synthesize the available evidence on the risk of DAA in SOT recipients.
Lancet
January 2025
Faculty of Medicine, Wroclaw University of Science and Technology, Wrocław, Poland.
Hidradenitis suppurativa is a chronic inflammatory disease characterised by painful, deep-seated nodules, abscesses, and draining tunnels in the skin of axillary, inguinal, genitoanal, or inframammary areas. In recent years, the body of knowledge in hidradenitis suppurativa has advanced greatly. This disorder typically starts in the second or third decade of life.
View Article and Find Full Text PDFComput Biol Med
January 2025
National Institute of Immunology, Aruna Asaf Ali Marg, New Delhi, 110067, India. Electronic address:
The biotransformation of drugs by enzymes from the human microbiome can produce active or inactive products, impacting the bioactivity and function of these drugs inside the human host. However, understanding the biotransformation reactions of drug molecules catalyzed by bacterial enzymes in human microbiota is still limited. Hence, to characterize drug utilization capabilities across all the microbial phyla inside the human gut, we have used a knowledge-based approach to develop HgutMgene-Miner software which predicts xenobiotic metabolizing enzymes (XMEs) through genome mining.
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