Biology subjects

Teodosio, A.

Publications and source records attributed to Teodosio, A..

8 recordsLinked to original sources

bioRxiv2026

CX3CR1 And MHCII Define Distinct Synovial Macrophage Populations With Conserved Inflammatory Response Across Mouse Models Of Rheumatoid Arthritis.

Macrophages in the synovial lining are critical for the maintenance of healthy tissue while also contributing to the pathogenesis of rheumatoid arthritis (RA). However, the field currently lacks a unifying characterization of synovial macrophage heterogeneity across steady-state and inflammation. Here, we defined 4 transcriptionally distinct populations of synovial macrophages CX3CR1+MHCII- (lining); CX3CR1-MHCII- (interstitial/sublining); CX3CR1-MHCII+ (monocyte-derived); and CX3CR1+MHCII+ (infiltrating). The MHCII-populations are long-lived and derived from embryonic precursors regardless of localization while the MHCII+ populations differentiate from bone marrow (BM) progenitors dependent on CCR2. We identified conserved activation pathways between acute and chronic mouse models of inflammatory arthritis as well as novel arthritis-associated subpopulations. During peak inflammation, the influx of BM-derived cells was associated with upregulation of monocyte-related genes with concurrent down-regulation of tissue-resident genes. Our results provide a unifying schema for describing synovial macrophages across conditions and pave the way for future studies in modulating transcriptional activity in rheumatoid arthritis.

immunology↗

bioRxiv2025

Histological techniques for the visualisation and identification of polymicrobial communities in mucosal tissue

Sequencing studies have generated masses of data linking mucosal bacteria to health and disease, particularly in organs such as the colon, mouth and stomach. However, extracting microbial DNA from mucosal sites with lower bacterial biomass can introduce significant variation given the heterogeneity of bacterial colonisation within pathological microenvironments. Therefore, a histological technique that identifies mucosal samples with high microbial mass samples prior to applying sequencing technologies, would increase reproducibility and reduce issues of low signal: noise ratios commonly observed during 16S rRNA gene sequencing. Using RNAscope technology, we have previously shown that non-H. pylori bacteria invade the gastric lamina propria in H. pylori-infected patients diagnosed with chronic gastritis and gastric intestinal metaplasia. However, RNAscope technology is costly and time consuming. Here, using gastric tissue from patients with Helicobacter pylori-associated precancer and cancer, we applied the use of a modified Gram stain technique to identify gastric tissue with high bacterial biomass. We validated the presence of bacteria using custom-designed RNAscope probes on consecutive tissue sections and then we visualised bacteria within a polymicrobial community at the Phylum, Kingdom and Genus taxonomic levels. This study validates the cost-effective modified Gram stain as an efficient way to select samples with high microbial biomass for downstream applications investigating host-microbiota relationships.

microbiology↗

bioRxiv2025

Self-supervised AI reveals a lethal discohesive phenotype in lung adenocarcinoma

Applications of artificial intelligence (AI) to histopathology are now common, but most require supervision which inherently limits their scope. By using self-supervised learning (SSL), we discover and quantify the full range of histopathological appearances in a disease, and associate them with clinicopathological ground truths such as prognosis. We used this approach to discover under-appreciated morphologies of lung adenocarcinoma (LUAD), using a highly characterised resected tumour cohort of over 4000 slides from over 1000 patients. By constructing an authoritative lexicon of recurrent LUAD appearances, we ab initio discovered several stromal morphologies strongly predictive of outcome. With multimodal data integration and external dataset validation, we propose that epithelial discohesion is lethal, but only in the context of immunologically cold stroma. Both these morphological features are independent of current prognostic schema. Crucially, we describe these features in the context of real-world diagnostic histopathology, giving them immediate clinical translatability. Statement of SignificanceHistopathology relies heavily on epithelial morphology, often neglecting the stroma. We use self-supervised AI to identify under-appreciated morphologies in LUAD linked to poor outcome and validate these observations in an external cohort, demonstrating the utility of self-supervised AI as a powerful biological discovery tool.

cancer biology↗

bioRxiv2024

A histomorphological atlas of resected mesothelioma from 3446 whole-slide images discovered by self-supervised learning

1Mesothelioma is a highly lethal and poorly biologically understood disease which presents diagnostic challenges due to its morphological complexity. This study uses self-supervised AI (Artificial Intelligence) to map the histomorphological landscape of the disease. The resulting atlas consists of recurrent patterns identified from 3446 Hematoxylin and Eosin (H&E) stained images scanned from resected tumour slides. These patterns generate highly interpretable predictions, achieving state-of-the-art performance with 0.65 concordance index (c-index) for outcomes and 88% AUC in subtyping. Their clinical relevance is endorsed by comprehensive human pathological assessment. Furthermore, we characterise the molecular underpinnings of these diverse, meaningful, predictive patterns. Our approach both improves diagnosis and deepens our understanding of mesothelioma biology, highlighting the power of this self-learning method in clinical applications and scientific discovery.

pathology↗

bioRxiv2024

The gatekeeper to gastric cancer; gastric microbiota invade the lamina propria in Helicobacter pylori-associated gastric carcinogenesis

Stomach cancer is the fourth leading cause of cancer-related deaths worldwide. Helicobacter pylori is the main risk factor for gastric adenocarcinoma (GAC), yet the mechanism underpinning this association remains uncharacterised. Gastric intestinal metaplasia (GIM) represents the pre-cancerous stage and follows H. pylori-associated chronic gastritis (CG). Sequencing studies have revealed fewer H. pylori and more non-H. pylori bacteria in GAC. However, the spatial organisation of the gastric microbiota in health and disease is unknown. Here, we have combined RNA in situ hybridisation and immunohistochemistry to detect H. pylori, non-H. pylori bacteria and host cell markers (E-cadherin, Mucins 5AC and 2) from patients with CG (n=9), GIM (n=12), GAC and normal tissue adjacent to tumours (NATs) (n=3). Quantitative analysis of whole slide scans revealed significant correlations of H. pylori and other bacteria in CG and GIM samples. In contrast to sequencing studies, significantly fewer non-H. pylori bacteria were detected in H. pylori-negative patients. Importantly, whilst H. pylori exclusively colonised the gastric glands, non-H. pylori bacteria invaded the lamina propria in 3/4 CG and 5/6 GIM H. pylori-positive patients. Bacterial invasion was observed in 3/3 GAC samples and at higher levels than matched NATs. We propose that H. pylori holds the keys to disrupt the gastric epithelial barrier, facilitating the opportunistic invasion of non-H. pylori bacteria to the lamina propria. Bacterial invasion could be a significant driver of inflammation in H. pylori-associated carcinogenesis. This proposed mechanism would both explain the synergistic roles of H. pylori and other bacteria and redirect attempts to prevent, diagnose and treat GAC.

microbiology↗

bioRxiv2022

A cellular and spatial map of salivary glands at single cell resolution reveals the functional basis of tertiary lymphoid structure formation in Sjogren's syndrome

The key role of tertiary lymphoid structures in autoimmune and non-autoimmune conditions has been recently appreciated. While many of the molecular mechanisms involved in tertiary lymphoid structure (TLS) formation have been identified, their cellular sources and their temporal and spatial relationship to each other during the development of TLS remain unknown. Here we have constructed a cellular and functional map of key components involved in the formation of TLS in the minor salivary glands (SG) in humans. We have confirmed the presence of an immunofibroblast cell state and identified an undescribed immunopericyte cell state with potential immunological functions within TLS. The identification of TLS cellular and functional properties and their relevant modulators provided by this analysis provides key therapeutic cues for TLS associated conditions in autoimmunity and cancer.

immunology↗

bioRxiv2022

A cell-based, spike protein binding assay highlights differences in antibody neutralising capacity for SARS-CoV-2 variants

The engagement of the SARS-CoV-2 spike protein with ACE2 is a critical step for viral entry to human cells and accordingly blocking this interaction is a major determinant of the efficacy of monoclonal antibody therapeutics and vaccine-elicited serum antibodies. The emergence of SARS-CoV-2 variants necessitates the development of adaptable assays that can be applied to assess the effectiveness of therapeutics. Through testing of a range of recombinant spike proteins, we have developed a cell based, ACE2/spike protein binding assay that characterises monoclonal anti-spike protein antibodies and neutralising antibodies in donor serum. The assay uses high-content imaging to quantify cell bound spike protein fluorescence. Using spike proteins from the original Wuhan SARS-CoV-2 virus, as well as the delta and omicron variants, we identify differential blocking activity of three monoclonal antibodies directed against the spike receptor binding domain. Importantly, biological activity in the spike binding assay translated to efficacy in a SARS-CoV-2 infection assay. Hence, the spike binding assay has utility to monitor anti-spike antibodies against the major known SARS-CoV-2 variants and is readily adaptable to quantify impact of antibodies against new and emerging SARS-CoV-2 variants.

cell biology↗

bioRxiv2020

The role of SOX9 in non-small cell lung cancer progression is histopathology-selective.

The transcription factor SOX9 is a key regulator of multiple developmental processes, and is frequently re-expressed in non-small cell lung cancer (NSCLC). Its precise role in the progression of NSCLC histopathologies has however remained elusive. We show that SOX9 expression relates to poor outcome and invasive histopathology in human adenocarcinomas, and is absent in murine early minimally invasive and human in situ adenocarcinoma. Interestingly, despite wide SOX9 expression across advanced NSCLC histotypes, its genetic deletion in the murine KrasG12D;Lkb1-/- model selectively disrupted only the growth of papillary NSCLC, without affecting the initiation of precursor lesions or growth of mucinous or squamous tissue. Spatial tissue phenotyping indicated a requirement of SOX9 expression for the progression of surfactant protein C-expressing progenitor cells, which gave rise to papillary tumours. Intriguingly, while SOX9 expression was dispensable for squamous tissue formation, its loss in fact led to enhanced squamous tumour metastasis, which was associated with altered collagen IV deposition in the basement membrane. Our work therefore demonstrates histopathology-selective roles for SOX9 in NSCLC progression, namely a requirement for papillary adenocarcinoma progression, but opposing metastasis-suppressing function in squamous histotype tissue. This attests to a pleiotropic SOX9 function, linked to the cell of origin and microenvironmental tissue contexts.

cancer biology↗