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Babbar, A.

Publications and source records attributed to Babbar, A..

2 recordsLinked to original sources

The adhesion molecules β7 integrin and L-selectin contribute to cholestatic liver disease in male mice

Background & AimsPrimary sclerosing cholangitis (PSC) is a long-term progressive disease, often occurring in conjunction with inflammatory bowel disease (IBD). Dysregulated immune cell migration and gut microbiota alterations are implicated in disease progression. Livers of PSC patients show upregulation of the endothelial ligand mucosal addressin cell-adhesion molecule-1 (MAdCAM-1). Here we examined the role of the leukocytic adhesion molecules (AM) {beta}7 integrin and L-selectin, both binding partners of MAdCAM-1, in an experimental mouse model resembling aspects of human PSC. MethodsWild type (WT), {beta}7 integrin-deficient ({beta}7-/-), L-selectin-deficient (L-sel-/-), and L-selectin/{beta}7 integrin double-deficient (L-sel-/-/{beta}7-/-) male mice were compared in the model of 3,5-diethoxycarbonyl-1,4-dihydrocollidine (DDC)-induced cholangiopathy. The extent of pathology was evaluated by serum parameters, histology, flow cytometry, and expression of inflammatory mediators. Fecal microbiota changes were assessed by 16S rRNA amplicon sequencing and intestinal permeability was measured by FITC-dextran assay. ResultsAM-deficient mice were markedly protected from DDC-induced cholangiopathy. Hepatic immune cell populations of AM-deficient mice differed significantly from those of WT mice. Adoptively transferred {beta}7-/- CD8+ T cells caused significantly less liver damage than CD8+ WT T cells in DDC-treated {beta}7-/- mice. DDC-feeding caused substantial changes in fecal microbiota profiles, which differed between the mouse strains, and a strong increase in intestinal permeability that was significantly lower in {beta}7-/- than WT mice. Conclusions{beta}7 integrin and L-selectin contribute to DDC-induced cholangiopathy with {beta}7 integrin-expressing CD8+ T cells playing a crucial role in promoting pathogenesis. In addition, AM-expressing immune cells may contribute to the inflammatory process by causing unfavorable gut microbiota shifts and destabilizing the gut barrier. Synopsis{beta}7 integrin- and/or L-selectin-deficient mice are less susceptible to 3,5-diethoxycarbonyl-1,4-dihydrocollidine (DDC)-induced experimental cholangiopathy. {beta}7 integrin-expressing CD8+ T cells contribute to DDC-induced pathogenesis. {beta}7 integrin promotes DDC-induced gut barrier dysfunction and microbiota shifts, potentially exacerbating hepatic injury.

immunology↗

Functional alignment of protein language models via reinforcement learning

Protein language models (pLMs) enable generative design of novel protein sequences but remain fundamentally misaligned with protein engineering goals, as they lack explicit understanding of function and often fail to improve properties beyond those found in nature. We introduce Reinforcement Learning from eXperimental Feedback (RLXF), a general framework that aligns protein language models with experimentally measured functional objectives, drawing inspiration from the methods used to align large language models like ChatGPT. Applied across five diverse protein families, RLXF improves generation of high-functioning variants beyond pre-trained baselines. We demonstrate this with CreiLOV, an oxygen-independent fluorescent protein, where RLXF-aligned models generate sequences with significantly enhanced fluorescence, including the most fluorescent CreiLOV variants reported to date. Our results indicate that RLXF-aligned models effectively integrate the evolutionary knowledge encoded in pre-trained pLMs with experimental observations, improving the success rate of generated sequences and enabling the discovery of synergistic mutation combinations that are difficult to identify through zero-shot or evolutionary approaches. RLXF provides a scalable and accessible approach to steer generative models toward desired biochemical properties, enabling function-driven protein design beyond the limits of natural evolution.

bioengineering↗