Search bioRxiv⌕ Search

Biology subjects

Peters, D.

Publications and source records attributed to Peters, D..

9 recordsLinked to original sources

Global Acetylome Profiling Reveals Extensive Lysine Acetylation in Acinetobacter baumannii Bacteriophage Proteins

Post-translational modifications (PTMs) are increasingly recognized as potential regulators of bacteriophage-host interactions, yet their functions remain largely undefined. Here, we present the first proteome-wide characterization of lysine acetylation in a bacteriophage, using Acinetobacter baumannii myovirus vB_AbaM_DLP3 as a model to investigate host-imposed modification during infection. An optimized proteomic workflow that eliminates chemical artifacts and improves peptide identification accuracy enabled detection of 86 acetylated proteins, representing nearly one-third of the DLP3 proteome. Comparative analysis of purified virions and infected host cells revealed distinct acetylation profiles, consistent with host-driven, transient modifications that are removed or lost after lysis. Functional annotation showed that acetylation predominantly targets proteins involved in DNA replication, genome packaging, and structural assembly. Structural modeling of the major capsid and replication-associated proteins demonstrated that acetylation neutralizes positive surface charges, potentially weakening DNA binding and intercapsomer interactions critical for replication and capsid cohesion. Together, these findings establish lysine acetylation as a widespread and dynamic feature of phage infection and identify host-imposed acetylation as a potential regulatory mechanism that modulates phage replication, assembly, and infectivity. This work expands the molecular framework of phage-host interactions, providing a foundation for future studies aimed at understanding how bacterial PTMs influence phage function and for engineering phages resistant to host-mediated inhibition. ImportanceBacteriophages are being developed as alternatives to antibiotics, yet little is known about how bacterial hosts chemically modify phage proteins during infection. This study reveals that A. baumannii imposes extensive lysine acetylation on its infecting phage DLP3, affecting proteins involved in DNA replication and structural assembly. By demonstrating that acetylation neutralizes positive surface charges and is largely absent after phage release, this work identifies host-driven acetylation as a previously unrecognized, reversible mechanism that may influence phage infectivity. Understanding how bacteria use post-translational modifications to interfere with phage function provides new insight into phage-host molecular interactions and informs strategies for engineering therapeutic phages resistant to host-imposed inhibition.

microbiology↗

Development of a Novel Benzodiazepine to Delineate Peripheral GABA-A Signaling Mechanisms in Visceral Pain Syndromes

Background and AimsVisceral pain is a cardinal symptom of many disorders affecting the gut. Modulators of gamma-aminobutyric acid (GABA) such as benzodiazepines may attenuate colonic pain but the specific contribution of peripheral GABAA receptors remains unclear as these agents have prominent central effects. MethodsUsing medicinal chemistry optimization of the benzodiazepine scaffold, we developed a novel and potent benzodiazepine-based positive allosteric modulator (PAM) of GABAA receptors, Li633, with no significant central nervous system (CNS) penetration. ResultsThe locomotor activity of rats placed in an open field was unchanged with Li633 at doses up to 30 mg/kg, confirming its lack of a CNS effect. LI-633 produced robust potentiation of GABA-induced inward current, with EC50 values ranging from 8 nM (5{beta}2{gamma}2) to 128 nM (3{beta}2{gamma}2). In vitro electrophysiological studies confirmed its ability to reduce excitability of human dorsal root ganglion (DRG) neurons. LI-633 potentiated muscimol-induced GABAergic currents in rat DRG neurons in a dose-dependent manner, with an EC50 of 70.4 nM. In vivo, LI-633 significantly attenuated visceral hypersensitivity and pain behavior in a rat model of irritable bowel syndrome (IBS) and functional dyspepsia (FD). In the IBS model, administration of the drug also resulted in decreased excitability of colon-specific DRG neurons and significantly reduced the colonic afferent response to balloon distention as measured by recordings of neural activity in dorsal ganglia rootlets. ConclusionsThese findings highlight the potential of targeting peripheral GABAA receptors for pain management in IBS and other disorders associated with visceral hypersensitivity.

neuroscience↗

Integrin alpha1 beta1 promotes interstitial fibrosis in a mouse model of polycystic kidney disease

Fibrosis is the cause of end-stage kidney failure in patients with Autosomal Dominant Polycystic Kidney Disease (ADPKD). The molecular and cellular mechanisms involved in fibrosis are complex and anti-fibrotic therapies have so far failed to make an impact on patient welfare. Using unbiased proteomics analysis on the Pkd1nl/nl mouse, we found that expression of the integrin 1 subunit is increased in this model of ADPKD. In human ADPKD tissue and two single cell RNA kidney disease datasets, ITGA1 was also upregulated. To investigate the functional role of this integrin subunit in ADPKD, we generated a Pkd1nl/nlItga1-/- mouse. We observed a significant reduction in kidney volume and kidney dysfunction in mice lacking the integrin 1 subunit. Kidneys from Pkd1nl/nlItga1-/- mice had smaller cysts and reduced interstitial expansion and tubular atrophy. Picrosirius red staining identified a restriction in collagen staining in the interstitium and the myofibroblast marker smooth muscle actin was also downregulated. Myofibroblast cell proliferation was reduced in Pkd1nl/nlItga1-/- mice and primary fibroblast cultures demonstrated an abrogated fibrogenic phenotype in integrin 1-depleted fibroblasts. These results highlight a previously unrecognised role for the integrin 1 subunit in kidney fibrosis.

pathology↗

Vcam1+ Fibro-adipogenic Progenitors Mark Fatty Infiltration in Chronic Limb Threatening Ischemia

Skeletal muscle health and function is a critical determinant of clinical outcomes in patients with peripheral arterial disease (PAD). Herein, we identify fatty infiltration, the ectopic deposition of adipocytes in skeletal muscle, as a histological hallmark of end-stage PAD, also known as chronic limb threatening ischemia (CLTI). Leveraging single cell transcriptome mapping in mouse models of PAD, we identify a pro-adipogenic mesenchymal stromal cell population marked by expression of Vcam1 (termed Vcam1+ FAPs) that expands in the ischemic limb. Mechanistically, we identify Sfrp1 and Nr3c1 as regulators of Vcam1+ FAP adipogenic differentiation. Loss of Sfrp1 and Nr3c1 impair Vcam1+ FAP differentiation into adipocytes in vitro. Finally, we show that Vcam1+ FAPs are enriched in human CLTI patients. Collectively, our results identify a pro-adipogenic FAP subpopulation in CLTI patients and provide a potential therapeutic target for muscle regeneration in PAD.

genomics↗

Karyotype Evolution in Response to Chemoradiotherapy and Upon Recurrence of Esophageal Adenocarcinomas.

The genome of esophageal adenocarcinoma (EAC) is highly unstable and might evolve over time. Here, we track karyotype evolution in EACs in response to treatment and upon recurrence through multi-region and longitudinal analysis. To this end, we introduce L-PAC, a bio-informatics technique that allows inference of absolute copy number aberrations (CNA) of low-purity samples by leveraging information of high-purity samples from the same cancer. Quantitative analysis of matched absolute CNAs reveals that the amount of karyotype evolution induced by chemoradiotherapy (CRT) is predictive for early recurrence and depends on the initial level of karyotype intra-tumor heterogeneity. We observe that CNAs acquired in response to CRT are partially reversed back to the initial state upon recurrence. CRT hence alters the fitness landscape to which tumors can adjust by adapting their karyotype. Together, our results indicate that karyotype plasticity contributes to therapy resistance of EACs.

bioinformatics↗

An mRNA-encoded, long-lasting Interleukin-2 restores CD8+ T cell neoantigen immunity in MHC class I-deficient cancers

MHC class I antigen presentation deficiency is considered to be the most prevalent cancer immune escape mechanism. Despite its increasing occurrence, the mechanistic implications, and potential strategies to address this challenge, remain poorly understood. Studying {beta}2-microglobulin (B2M) deficient mouse tumor models, we found that MHC class I loss leads to a substantial immune desertification of the tumor microenvironment (TME) and broad therapeutic resistance to immune-, chemo- and radiotherapy. We show that treatment with long-lasting mRNA-encoded interleukin-2 (IL2) restores an immune cell infiltrated, IFN{gamma}-promoted, highly proinflammatory TME signa-ture, and when combined with a tumor-targeting monoclonal antibody (mAb), can overcome ther-apeutic resistance. Surprisingly, we identified that effectiveness of this treatment is driven by ne-oantigen-specific IFN{gamma}-releasing CD8+ T cells that recognize neoantigens cross-presented by TME-resident activated macrophages that under IL2 treatment acquire augmented antigen presen-tation proficiency along with other M1-phenotype-associated features. Our findings highlight the unexpected importance of restoring neoantigen-specific immune responses in the treatment of cancers with MHC class I deficiencies.

immunology↗

Spatial relationships in the urothelial and head and neck tumor microenvironment predict response to combination immune checkpoint inhibitors

Immune checkpoint inhibitors (ICI) currently achieve remarkable clinical results in urothelial cancer (UC). However, the relationship between the tumor microenvironment (TME), usually characterized by immune cell density, and response to ICI is unclear. We quantified the TME immune cell densities and spatial relationships (SRs) using the multiplex immunofluorescence data of 24 UC pre-treatment tumor resections. We described SRs by approximating the 1-NN distance distribution with a Weibull distribution and evaluated the association between TME metrics (spatial and density parameters) and ipilimumab+nivolumab response. Immune cell density did not discriminate between response groups. However, the Weibull SR metrics of CD8+ T-cells or macrophages to their closest cancer cell were positively associated with response. CD8+ T-cells close to B-cells were characteristic of non-response. The G- function, a threshold dependent alternative SR metric, yielded variable effect sizes and statistical power in association studies with response. We validated our SR response associations in a cohort of head and neck tumors with a comparable treatment design. Our data confirm that SRs, in contrast to density metrics, are strong biomarkers of response to ICIs, a finding with significant translational relevance.

cancer biology↗

Combining Bacteriophage and Vancomycin is Efficacious Against MRSA biofilm-like Aggregates Formed in Synovial Fluid

BackgroundBiofilm formation is a major clinical challenge contributing to treatment failure of periprosthetic joint infection (PJI). Lytic bacteriophages (phages) can target biofilm associated bacteria at localized sites of infection. The aim of this study is to investigate whether combination therapy of phage and vancomycin is capable of clearing Staphylococcus aureus biofilm-like aggregates formed in human synovial fluid. MethodsIn this study, S. aureus BP043, a PJI clinical isolate was utilized. This strain is a methicillin-resistant S. aureus (MRSA) biofilm-former. Phage Remus, known to infect S. aureus, was selected for the treatment protocol. BP043 was grown as aggregates in human synovial fluid. The characterization of S. aureus aggregates was assessed for structure and size using scanning electron microscopy (SEM) and flow cytometry, respectively. Moreover, the formed aggregates were subsequently treated in vitro with: a) phage Remus ([~]108 plaque-forming units (PFU)/mL), b) vancomycin (500 {micro}g/mL), or c) phage Remus ([~]108 PFU/mL) followed by vancomycin (500 {micro}g/mL), for 48 hours. Bacterial survival was quantified by enumeration (colony-forming units (CFU)/ mL). The efficacy of phage and vancomycin against BP043 aggregates was assessed in vivo as individual treatments and in combination. The in vivo model utilized Galleria mellonella larvae which were infected with BP043 aggregates pre-formed in synovial fluid. ResultsSEM images and flow cytometry data demonstrated the ability of human synovial fluid to promote formation of S. aureus aggregates. Treatment with Remus resulted in significant reduction in viable S. aureus residing within the synovial fluid aggregates compared to the aggregates that did not receive Remus (p < 0.0001). Remus was more efficient in eliminating viable bacteria within the aggregates compared to vancomycin (p < 0.0001). Combination treatment of Remus followed by vancomycin was more efficacious in reducing bacterial load compared to using either Remus or vancomycin alone (p = 0.0023, p < 0.0001, respectively). When tested in vivo, this combination treatment also resulted in the highest survival rate (37%) 96 hours post-treatment, compared to untreated larvae (3%; p < 0.0001). ConclusionWe demonstrate that combining phage Remus and vancomycin led to synergistic interaction against MRSA biofilm-like aggregates in vitro and in vivo.

microbiology↗

Thought experiment: Decoding cognitive processes from the fMRI data of one individual

Cognitive processes, such as the generation of language, can be mapped onto the brain using fMRI. These maps can in turn be used for decoding the respective processes from the brain activation patterns. Given individual variations in brain anatomy and organization, analyzes on the level of the single person are important to improve our understanding of how cognitive processes correspond to patterns of brain activity. They also allow to advance clinical applications of fMRI, because in the clinical setting making diagnoses for single cases is imperative. In the present study, we used mental imagery tasks to investigate language production, motor functions, visuo-spatial memory, face processing, and resting-state activity in a single person. Analysis methods were based on similarity metrics, including correlations between training and test data, as well as correlations with maps from the NeuroSynth meta-analysis. The goal was to make accurate predictions regarding the cognitive domain (e.g. language) and the specific content (e.g. animal names) of single 30-second blocks. Four teams used the dataset, each blinded regarding the true labels of the test data. Results showed that the similarity metrics allowed to reach the highest degrees of accuracy when predicting the cognitive domain of a block. Overall, 23 of the 25 test blocks could be correctly predicted by three of the four teams. Excluding the unspecific rest condition, up to 10 out of 20 blocks could be successfully decoded regarding their specific content. The study shows how the information contained in a single fMRI session and in each of its single blocks can allow to draw inferences about the cognitive processes an individual engaged in. Simple methods like correlations between blocks of fMRI data can serve as highly reliable approaches for cognitive decoding. We discuss the implications of our results in the context of clinical fMRI applications, with a focus on how decoding can support functional localization.

neuroscience↗