Johann E. Gudjonsson

2 weeks ago | patientcareonline.com | Sydney Jennings |Johann E. Gudjonsson

At the 2025 Revolutionizing Atopic Dermatitis (RAD) conference in Nashville, TN, Johann Gudjonsson, MD, PhD, delivered a presentation exploring the OX-40/OX-40L signaling pathway and its central role in the pathogenesis of atopic dermatitis.

Nov 1, 2024 | jci.org | Vincent Piguet |Johann E. Gudjonsson

Hidradenitis suppurativa (HS) is a chronic, inflammatory skin disease that affects approximately 1% of the Western population (1). HS is characterized by recurrent painful nodules and abscesses and the formation of epithelialized dermal tunnels in intertriginous areas such as the axillae and groin.

Jul 1, 2024 | sciencedirect.com | Remy S. Petersen |Danny Cohn |Johann E. Gudjonsson |Seema S. Aceves

Eosinophilic gastritis (EoG) is a chronic, food antigen–driven inflammatory disorder associated with type 2 immunity.1, 2, 3 EoG is characterized by eosinophil accumulation in the stomach, typically associated with endoscopic and histopathologic changes.1,3 As eosinophil accumulation is a main feature of EoG and serves as the criterion standard for EoG diagnosis, clinical studies have begun investigating the impact of antieosinophil therapy using antibodies targeting eosinophils.

Jun 4, 2024 | biorxiv.org | Haihan Zhang |Zhaolin Zhang |Johann E. Gudjonsson |Gideon Shaked

AbstractGene regulation is intricately influenced by the three-dimensional organization of the genome. In particular, chromatin can exist in loop structures that enable long-range regulatory interactions. By utilizing chromosome conformation capture techniques such as Hi-C, valuable information regarding the organization of these loop structures in 3D space can be obtained.

May 6, 2024 | nature.com | Junyan Duan |Michelle Ngo |Satya Swaroop Karri |Johann E. Gudjonsson |Babak Shahbaba |John Lowengrub

AbstractAs the circadian clock regulates fundamental biological processes, disrupted clocks are often observed in patients and diseased tissues. Determining the circadian time of the patient or the tissue of focus is essential in circadian medicine and research. Here we present tauFisher, a computational pipeline that accurately predicts circadian time from a single transcriptomic sample by finding correlations between rhythmic genes within the sample.