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Biology subjects

Kannan, P.

Publications and source records attributed to Kannan, P..

7 recordsLinked to original sources

Distinct extracellular matrix states uncouple collagen accumulation from pathological fibrosis in Duchenne muscular dystrophy

Fibrosis severity is routinely inferred from collagen abundance, although whether collagen quantity determines pathological fibrosis remains unclear. In Duchenne muscular dystrophy (DMD), chronic muscle injury and inflammation drive extracellular matrix accumulation, making these processes difficult to disentangle. We exploit sarcospan overexpression in mdx mice, a model of DMD (mdxTG), which improves membrane integrity and muscle function despite persistent matrix remodeling. mdxTG muscle accumulates more collagen than mdx yet lacks its dense macrophage-rich scars. Matrisome proteomics and spatial transcriptomics reveal compositionally and spatially distinct matrix states, while decellularized mdxTG matrix protects myotubes from membrane damage relative to mdx matrix. Despite these differences, both dystrophic matrices remain stiff and induce nuclear YAP in fibro-adipogenic progenitors. Verteporfin suppresses collagen production and reduces fibrosis in vivo, while nuclear YAP is increased in FAPs from patients with DMD. Thus, collagen abundance alone does not define pathological fibrosis; matrix organization, biological activity, and mechanosignaling distinguish functionally distinct fibrotic states.

physiology↗

Control of Guanine Exchange Factor Activity Using De Novo Designed Protein Inhibitors

Guanine Exchange Factors (GEF) of the Dbl family are the main activators of RhoA GTPases. GEF and GTPase activity is tightly regulated at the subcellular level with fast kinetics. Therefore, to fully understand the function of Dbl GEFs requires their study in living cells. Towards developing molecular tools that reversibly and rapidly modulate the activity of endogenous GEFs in living cells, here we developed a general platform for engineering inhibitors against members of the Dbl family of GEFs using generative protein design. Engineered proteins showed high affinity and remarkable specificity for the target GEFs and modulated GEF activity both in vitro and in cells. In a proof-of-principle example, a GEF inhibitor was coupled to a light-activated module, enabling the optogenetic control of its activity in cells. These findings show that generative protein design can create modulators of intracellular signaling and broaden the range of tools available for biological research.

cell biology↗

A stapled peptide inhibitor of MDM2 enables pharmacological activation of p53 in zebrafish

Measuring the activity of the tumor suppressor p53 in living systems is essential for understanding its dysregulation in cancer and other conditions, such as aging and diabetes. Zebrafish (Danio rerio) are a powerful vertebrate model that enable such studies, due to the evolutionary conservation of p53 structure and function. However, p53 activity in zebrafish has mainly been assessed using pharmacological methods that induce DNA damage or have off-target effects, making it difficult to isolate p53-specific responses from broader stress responses. Here, by using biophysical assays, molecular dynamics, and molecular assays, we show that sulanemadlin, a stapled peptide inhibitor of MDM2, binds to zebrafish Mdm2 and transcriptionally activates downstream targets of p53, including cdkn1a, isoform{Delta} 113p53, and Mdm2. No effect on gene expression was observed in embryos treated with a point-modified control peptide or in embryos carrying a mutation that renders p53 transcriptionally inactive. RNA sequencing further confirmed upregulation of p53 signaling and downregulation of DNA replication pathways, while an acridine orange assay showed no detectable increases in apoptosis. In contrast, the tested small molecule Mdm2 inhibitors exhibit reduced binding affinity to zebrafish Mdm2 due to an amino acid variation in the zebrafish Mdm2 binding pocket. By overcoming a species-specific barrier in p53-MDM2 binding, the stapled peptide sulanemadlin is the first pharmacological tool to specifically activate p53 in zebrafish without inducing measurable apoptosis, enabling direct in vivo studies of p53 regulation in cancer and other disease contexts.

pharmacology and toxicology↗

Iterative immunogen optimization to focus elicited responses on a conserved, subdominant influenza hemagglutinin epitope

Designing effective vaccination strategies against genetically diverse viruses, such as HIV or influenza, is hindered by the ability of these pathogens to mutate and readily evade immune responses. While these viruses contain conserved regions that cannot easily mutate without affecting viral fitness, these sites are subdominant, meaning that they are not the primary target of antibodies elicited by natural infection or current vaccines. Here, we integrated recent advances in machine learning methods for protein structure prediction and design to engineer protein immunogens that focus immune responses on a conserved, subdominant HA epitope targeted by broadly cross-reactive influenza antibodies. Iterating between computation-guided optimization and in vivo analyses generated immunogens that faithfully displayed the target epitope and redirected humoral responses toward it upon vaccination. These results provide a blueprint for applying recent protein engineering approaches to immunogen design and may inform the development of broadly protective influenza vaccines.

immunology↗

MDM2 inhibitors, nutlin-3a and navtemadelin, retain efficacy in human and mouse cancer cells cultured in hypoxia

Activation of p53 by small molecule MDM2 inhibitors can induce cell cycle arrest or death in p53 wildtype cancer cells. However, cancer cells exposed to hypoxia can develop resistance to other small molecules, such as chemotherapies, that activate p53. Here, we evaluated whether hypoxia could render cancer cells insensitive to two MDM2 inhibitors with different potencies, nutlin-3a and navtemadlin. Inhibitor efficacy and potency were evaluated under short-term hypoxic conditions in human and mouse cancer cells expressing different p53 genotypes (wild-type, mutant, or null). Treatment of wild-type p53 cancer cells with MDM2 inhibitors reduced cell growth by >75% in hypoxia through activation of the p53-p21 signaling pathway; no inhibitor-induced growth reduction was observed in hypoxic mutant or null p53 cells except at very high concentrations. The concentration of inhibitors needed to induce the maximal p53 response was not significantly different in hypoxia compared to normoxia. However, inhibitor efficacy varied by species and by cell line, with stronger effects at lower concentrations observed in human cell lines than in mouse cell lines grown as 2D and 3D cultures. Together, these results indicate that MDM2 inhibitors retain efficacy in hypoxia, suggesting they could be useful for targeting acutely hypoxic cancer cells.

cancer biology↗

In-vitro synergistic antibacterial effect of atorvastatin and ampicillin against resistant Staphylococcus spp and E.coli isolated from bovine mastitis

The colossal rise in antimicrobial resistance has led to treatment failures and so mastitis has become cumbersome to treat. The objective of this study was to evaluate the antibacterial effect of non-antibiotic drug, atorvastatin in combination with antimicrobial, ampicillin against two commonly isolated bacterial species Staphylococcus spp and E. coli from bovine mastitis. Milk samples were collected from mastitis cows, visiting Veterinary Clinical Complex. Bacterial isolation was performed using Eosin Methylene Blue (EMB) agar and Mannitol Salt Agar (MSA), followed by characterization and identification by biochemical tests and gram staining. Genotypic confirmation was done by Polymerase Chain Reaction (PCR) with subsequent screening for resistant genes-mec A, blaTEM. Antibiotic Sensitivity Test (ABST) of the isolates against 12 different antimicrobials, atorvastatin only, and combination of atorvastatin with ampicillin were performed using Kirby-Bauer disc diffusion method. Minimum Inhibitory Concentration (MIC) of ampicillin alone and ampicillin in combination with atorvastatin were determined by modified microdilution method. Staphylococcus spp (77.5%) and E.coli (35%) were the two major pathogens isolated in the current study and multi-drug resistance was observed. Among the antimicrobials, the ampicillin showed 100% resistance against Staphylococcus spp and 85.71% resistance against E. coli. Atorvastatin did not display antibacterial effect as a sole agent but displayed synergistic antibacterial activity with ampicillin. There was an average increase in Minimum Inhibitory Concentration of ampicillin for E.coli and Staphylococcus spp isolates and atorvastatin decreased the Minimum Inhibitory Concentration of ampicillin in combination. The ampicillin shows more resistance against both Staphylococcus spp and E.coli, while atorvastatin improves the effect of ampicillin in-vitro. So, atorvastatin may be combined with ampicillin for the treatment of Gram-positive and Gram-negative infections. However, further studies are required to ascertain the exact mechanism of action of atorvastatin with respect to their antibacterial effect for them to be redeployed as an antimicrobial drug in the future.

pharmacology and toxicology↗

Radiation resistant cancer cells enhance the survival and resistance of sensitive cells in prostate spheroids

Intratumoural heterogeneity contributes to local tumour recurrence and variable responses to radiotherapy in prostate cancer. Despite the multiclonal nature of the disease, tumour control probability for conventional treatment plans is modelled on the assumption that tumour cells in the target region respond identically and independently. Here, using tumour cell subpopulations with different radiation sensitivities from prostate tumour cell lines, we show that radiation resistant cells enhance the survival and radiation resistance of radio-sensitive cells in spheroids but not in monolayer culture. Mathematical modelling indicates that these phenotypic changes result from both competitive and antagonistic cellular interactions in spheroids. Interactions mediated by oxygen constraints define the spatial localisation of the cell populations in spheroids and in xenografts, while those mediated by paracrine signals further modify the microenvironment. Our results show new mechanisms of radiotherapy resistance mediated by cellular interactions and by the microenvironment.

cancer biology↗