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Luginbuhl, A. J.

Publications and source records attributed to Luginbuhl, A. J..

2 recordsLinked to original sources

Translational Opportunity of Engineered IFNγ-eEVs Through Targeted Inhibition of JAK/STAT1 Signaling, Mimicking IVIg Therapy

Immunoglobulin (Ig) replacement therapies (IgRT) including intravenous (IVIg) and subcutaneous (SCIg), are pooled IgG preparations widely used to restore humoral immunity and to suppress pathological inflammation in autoimmune and inflammatory disorders. Despite broad clinical use, the mechanisms underlying their immunomodulatory effects remain incompletely defined. Here, we identify extracellular vesicle (EV)-associated cytokines as mediators of IVIg activity. Multiplex bead-based flow cytometry revealed that EVs isolated by size exclusion followed by ultracentrifugation from IVIg were CD63 positive but depleted of platelet-derived and HLA markers relative to EVs from unprocessed human plasma. Luminex profiling demonstrated substantial reduction of pro-inflammatory cytokines in IVIg EVs. Notably, although IVIg EVs contained abundant IFN{gamma}, they failed to activate IFNGR/JAK/STAT1 signaling. Instead, prolonged exposure to IVIg EVs suppressed subsequent IFN{gamma}-induced STAT1 activation. Engineered IFN{gamma}-coated EVs (IFN{gamma}-eEVs) recapitulated both activating and inhibitory effects indicating context-dependent signaling bias. Critically, cold ethanol precipitation, a key step in IVIg manufacturing, selectively abrogated the activating function of IFN{gamma}-eEVs while preserving their inhibitory capacity. These findings define a previously unrecognized mechanism where IVIg processing generates EVs that bias IFN{gamma} signaling toward suppression. EV-associated cytokines therefore represent a generalizable pathway through which IVIg exerts anti-inflammatory effects across immune-mediated diseases.

bioengineering↗

Tumor microenvironment governs the prognostic landscape of immunotherapy for head and neck squamous cell carcinoma: A computational model-guided analysis

Immune checkpoint inhibition (ICI) has emerged as a critical treatment strategy for squamous cell carcinoma of the head and neck (HNSCC) that halts the immune escape of the tumor cells. Increasing evidence suggests that the onset, progression, and lack of/no response of HNSCC to ICI are emergent properties arising from the interactions within the tumor microenvironment (TME). Deciphering how the diversity of cellular and molecular interactions leads to distinct HNSCC TME subtypes subsequently governing the ICI response remains largely unexplored. We developed a cellular-molecular model of the HNSCC TME that incorporates multiple cell types, cellular states, and transitions, and molecularly mediated paracrine interactions. An exhaustive simulation of the HNSCC TME network shows that distinct mechanistic balances within the TME give rise to the five clinically observed TME subtypes such as immune/non-fibrotic, immune/fibrotic, fibrotic only and immune/fibrotic desert. We predict that the cancer-associated fibroblast, beyond a critical proliferation rate, drastically worsens the ICI response by hampering the accessibility of the CD8+ killer T cells to the tumor cells. Our analysis reveals that while an Interleukin-2 (IL-2) + ICI combination therapy may improve response in the immune desert scenario, Osteopontin (OPN) and Leukemia Inhibition Factor (LIF) knockout with ICI yields the best response in a fibro-dominated scenario. Further, we predict Interleukin-8 (IL-8), and lactate can serve as crucial biomarkers for ICI-resistant HNSCC phenotypes. Overall, we provide an integrated quantitative framework that explains a wide range of TME-mediated resistance mechanisms for HNSCC and predicts TME subtype-specific targets that can lead to an improved ICI outcome.

cancer biology↗