Biology subjects

Nightingale, R.

Publications and source records attributed to Nightingale, R..

7 recordsLinked to original sources

bioRxiv2025

Sufficient levels of BECLIN1 are required for intestinal epithelial cell homeostasis and protection against unwanted intestinal inflammation

The prototypical autophagy regulator BECLIN1, orchestrates both autophagic and endocytic trafficking, and its homozygous deletion in the intestinal epithelium leads to intestinal disruption bearing similarities to inflammatory bowel disease (IBD). However, complete loss of BECLIN1 is rare in human disease. To model the effects of a partial reduction in BECLIN1, we examined mice with a monoallelic deletion of Becn1 in the intestinal epithelium, which decreased BECLIN1 protein levels by approximately 50%. Unlike the fatal phenotype following homozygous Becn1 deletion, the heterozygous mice were grossly normal, though they presented with significantly shorter small intestines. Gastrointestinal organoids derived from the mice also displayed disrupted endocytic trafficking and altered cytoskeletal dynamics resulting in mislocalisation of junctional proteins such as E-CADHERIN. In the mice, these changes were associated with impaired goblet cell function and maturation accompanied by abnormal mucin production, composition and secretion, resulting in compromised mucus barrier integrity. The mice also exhibited heightened susceptibility to dextran sulfate sodium (DSS)-induced colitis, emphasising the critical role of BECLIN1 in mediating protection against unregulated inflammation. Investigation of BECLIN1 levels in biopsies from patients with inflammatory bowel disease (IBD) revealed changes in its expression across distinct states of inflammation with reduced levels observed in highly inflamed regions in some patients, consistent with the gastrointestinal defects seen in mice with reduced BECLIN1. Hence, this study provides crucial insights into the multifaceted importance of BECLIN1 sufficiency in the intestinal epithelium to prevent pathophysiology. This highlights the potential of BECLIN1 as a biomarker and therapeutic target for IBD management.

cell biology↗

bioRxiv2023

Beclin1 is essential for intestinal homeostasis.

BECLIN1 is a component of Class III phosphatidylinositol 3-kinase complexes that orchestrates autophagy initiation and endocytic trafficking. Here we show intestinal epithelium-specific BECLIN1 deletion in adult mice led to rapid fatal enteritis with compromised gut barrier integrity, highlighting its intrinsic critical role in gut maintenance. BECLIN1-deficient intestinal epithelial cells exhibited extensive apoptosis, impaired autophagy, and stressed endoplasmic reticulum and mitochondria. Remaining absorptive enterocytes and secretory cells displayed morphological abnormalities. Deletion of the autophagy regulator, ATG7, failed to elicit similar effects, suggesting novel autophagy-independent functions of BECLIN1 distinct from ATG7. Indeed, organoids derived from BECLIN1 KO mice showed E-cadherin mislocalisation providing a mechanism linking endocytic trafficking mediated by Beclin1 and loss of intestinal barrier integrity. Our findings establish an indispensable role of BECLIN1 in maintaining mammalian intestinal homeostasis and uncover its involvement in endocytic trafficking in this process. Hence, this study has significant implications for our understanding of intestinal pathophysiology.

cell biology↗

bioRxiv2021

Behavioural stress feedback loops in benthic invertebrates caused by pH drop-induced metabolites

Studies on pH stress in marine animals typically focus on direct or species-specific aspects. We here test the hypothesis that a drop to pH = 7.6 indirectly affects the intra- and interspecific interactions of benthic invertebrates by means of chemical communication. We recorded fitness-relevant behaviours of small hermit crabs Diogenes pugilator, green shore crabs Carcinus maenas, and harbour ragworms Hediste diversicolor in response to short-term pH drop, and to putative stress metabolites released by conspecifics or gilt-head sea bream Sparus aurata during 30 minutes of acute pH drop. Not only did acute pH drop itself impair time to find a food cue in small hermit crabs and burrowing in harbour ragworms, but similar effects were observed under exposure to pH drop-induced stress metabolites. Stress metabolites from S. aurata, but not its regular control metabolites, also induced avoidance responses in all recipient species. Here, we confirm that a short-term abrupt pH drop, an abiotic stressor, has the capacity to trigger the release of metabolites which induce behavioural responses in conspecific and heterospecific individuals, which can be interpreted as a behavioural cost. Our findings that stress responses can be indirectly propagated through means of chemical communication warrant further research to confirm the effect size of the behavioural impairments caused by stress metabolites and to characterise their chemical nature.

physiology↗

bioRxiv2021

EHF is essential for epidermal and colonic epithelial homeostasis and suppresses Apc-initiated colonic tumorigenesis

BackgroundEts homologous factor (EHF) is a member of the epithelial-specific Ets (ESE) transcription factors. EHF is specifically expressed in epithelial tissues, however its role in development and epithelial homeostasis is largely uncharacterized. MethodsWe generated a novel mouse strain in which the Ets DNA binding domain (exon 8) of Ehf was flanked by loxP sites (EhfLox/Lox). To inactivate Ehf in the whole body, EhfLox/Lox mice were crossed to CMVCre mice, which were then bred out to generate germline Ehf null (Ehf-/-) mice. To inactivate Ehf specifically in the intestinal epithelium, EhfLox/Lox mice were bred to tamoxifen-inducible VillinCre-ERT2 mice. EhfLox/Lox mice were also crossed to tamoxifen-inducible Cdx2CreERT2; ApcLox/+ mice to determine the impact of Ehf deletion on Apc-initiated colon cancer development. ResultsTranscripts encoding the Ets binding domain of EHF were effectively deleted in all tissues in Ehf-/- mice. Ehf-/- mice were born at the expected Mendelian ratio, but showed reduced body weight gain and developed a series of pathologies during their lifespan that led the majority of Ehf-/- mice to reach an ethical endpoint within one year of age. Most prominent of these were the development of papillomas in the chin, and abscesses in the preputial glands (males) or vulvae (females) which showed evidence of Staphylococcus and Proteus infection. Consistent with the development of papillomas, the epidermis of Ehf-/- mice showed evidence of mild hyperplasia. A subset of Ehf-/- mice also developed cataracts and corneal ulcers. EHF is highly expressed in the colonic epithelium and Ehf-/- mice displayed increased susceptibility to dextran sodium sulphate-induced colitis. This phenotype was confirmed in intestinal-specific Ehf knockout mice, and histopathological analyses revealed reduced numbers of goblet cells and extensive transcriptional reprogramming in the colonic epithelium. Finally, colon-specific deletion of Ehf enhanced Apc-initiated adenoma development, unveiling a novel, tumour suppressive role for EHF in colorectal cancer. ConclusionThe Ets DNA-binding domain of EHF is essential for post-natal homeostasis of the epidermis and colonic epithelium, and functions as a tumour suppressor in the colon.

cell biology↗

bioRxiv2021

Dual MAPK and HDAC inhibition rewires the apoptotic rheostat to trigger colorectal cancer cell death

The EGFR/RAS/MEK/ERK signalling pathway (ERK/MAPK) is hyper-activated in most colorectal cancers (CRCs). A current limitation of inhibitors of this pathway is that they primarily induce cytostatic effects in CRC cells. Nevertheless, these drugs do induce expression of pro-apoptotic factors, suggesting they may prime CRC cells to undergo apoptosis. As histone deacetylase inhibitors (HDACi) induce expression of multiple pro-apoptotic proteins, we examined whether they could synergize with ERK/MAPK inhibitors to trigger CRC cell apoptosis. Combined MEK/ERK and HDAC inhibition synergistically induced apoptosis in CRC cell lines and patient-derived tumour organoids in vitro, and attenuated Apc-initiated adenoma formation in vivo. Mechanistically this effect was mediated through induction of the BH3-only pro-apoptotic proteins BIM and BMF. Importantly, we demonstrate that this treatment paradigm can be tailored to specific MAPK genotypes in CRCs, by combining HDACi with EGFR, KRASG12C or BRAFV600 inhibitors in KRAS/BRAFWT; KRASG12C, BRAFV600E CRC cell lines respectively. These findings identify a novel ERK/MAPK genotype-targeted treatment paradigm for colorectal cancer.

cancer biology↗

bioRxiv2019

Severity Index for Suspected Arbovirus (SISA): machine learning for accurate prediction of hospitalization in subjects suspected of arboviral infection

BackgroundDengue, chikungunya, and Zika are arboviruses of major global health concern. Decisions regarding the clinical management of suspected arboviral infection are challenging in resource-limited settings, particularly when deciding on patient hospitalization. The objective of this study was to determine if hospitalization of individuals with suspected arboviral infections could be predicted using subject intake data.\n\nMethodology/Principal FindingsTwo prediction models were developed using data from a surveillance study in Machala, a city in southern coastal Ecuador with a high burden of arboviral infections. Data was obtained from subjects who presented at sentinel medical centers with suspected arboviral infection (November 2013 to September 2017). The first prediction model--called the Severity Index for Suspected Arbovirus (SISA)-- used only demographic and symptom data. The second prediction model--called the Severity Index for Suspected Arbovirus with Laboratory (SISAL)--incorporated laboratory data. These models were selected by comparing the prediction ability of seven machine learning algorithms; the area under the receiver operating characteristic curve from the prediction of a test dataset was used to select the final algorithm for each model. After eliminating those with missing data, the SISA dataset had 534 subjects, and the SISAL dataset had 98 subjects. For SISA, the best prediction algorithm was the generalized boosting model, with an AUC of 0.91. For SISAL, the best prediction algorithm was the elastic net with an AUC of 0.94. A sensitivity analysis revealed that SISA and SISAL are not directly comparable to one another.\n\nConclusions/SignificanceBoth SISA and SISAL were able to predict arbovirus hospitalization with a high degree of accuracy in our dataset. These algorithms will need to be tested and validated on new data from future patients. Machine learning is a powerful prediction tool and provides an excellent option for new management tools and clinical assessment of arboviral infection.\n\nAuthor SummaryPatient triage is a critical decision for clinicians; patients with suspected arbovirus infection are difficult to diagnose as symptoms can be vague and molecular testing can be expensive or unavailable. Determining whether these patients should be hospitalized or not can be challenging, especially in resource-limited settings. Our study included data from 543 subjects with a diagnosis of suspected dengue, chikungunya, or Zika infection. Using a machine learning approach, we tested the ability of seven algorithms to predict hospitalization status based on the signs, symptoms, and laboratory data that would be available to a clinician at patient intake. Using only signs and symptoms, we were able to predict hospitalization with high accuracy (94%). Including laboratory data also resulted in highly accurate prediction of hospitalization (92%). This tool should be test in future studies with new subject data. Upon further development, we envision a simple mobile application to aid in the decision-making process for clinicians in areas with limited resources.

epidemiology↗

bioRxiv2017

Dengue fever and Aedes aegypti risk in the Galapagos Islands, Ecuador

IntroductionDengue fever is an emerging infectious disease in the Galapagos Islands of Ecuador, with the first cases reported in 2002 and periodic outbreaks since then. Here we report the results of a pilot study conducted in two cities in 2014: Puerto Ayora (PA) on Santa Cruz Island, and Puerto Baquerizo Moreno (PB) on Santa Cristobal Island. The aims of this study were to assess the social-ecological risk factors associated with dengue and mosquito presence at the household-level.\n\nMethodsIn 2014 we conducted 100 household surveys (50 on each island) in neighborhoods with prior reported dengue. Adult mosquitoes were collected inside and outside the home, larval indices were determined through container surveys, and heads of households were interviewed to determine demographics, prior dengue infections, housing conditions, and knowledge, attitudes and practices regarding dengue. Multimodel selection methods were used to derive best-fit generalized linear regression (GLM) models of prior dengue infection, and the presence of Ae. aegypti in the home.\n\nResultsWe found that 24% of PB and 14% of PA respondents self-reported a prior dengue infection, and more PB homes than PA homes had Ae. aegypti. The top-ranked model for prior dengue infection included human movement - travel between neighborhoods, between islands, and to the mainland; demographics including salary level and education of the head of household, and increase with more people per room in a house, house condition, access to water quality issues, and dengue awareness. The top-ranked model for the presence of Ae. aegypti included housing conditions, including the presence of window screens and air conditioners, mosquito control actions, and dengue risk perception.\n\nDiscussion/conclusionTo our knowledge, this is the first study of dengue risk and Aedes aegypti in the Galapagos Islands. The findings that human movement within and between islands, and to and from the mainland, were important to reported dengue cases confirms concerns of this route of introduction and repeated transmission.

epidemiology↗