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Introduction: Preterm hypoxic-ischemic encephalopathy (pHIE) is a complex brain injury that contributes to chronic neural inflammation and neurological disorders. The signs and symptoms of in utero pHIE can often be overlooked, untreated or lumped into more generic conditions such as encephalopathy of prematurity (EOP). Clinical interventions like hypothermia and erythropoietin do not improve pHIE. We characterized a murine model for pHIE, which includes hypoxia and maternal factors as a cost-effective alternative to large animal models of HIE.
Methods: We injected pregnant mouse dams with LPS to stimulate an inflammatory response on embryonic days 15-16 (E15-E16), and whole cage hypoxia exposures occurred from postnatal days 3 to 9. To quantify the development of inflammation in the pHIE model, we used immunohistochemistry to stain for Caspase-9 in the cortex (20 μm per slice) and then counted Caspase-9 positive cells using unbiased stereology. We stained brain tissue with MAP2 to quantify neuronal intermediate filament expression and staining using a machine-learning based image analysis approach. We quantified cytokines (IL-1β, IL-6, IL-10, IL-18 and TNF-α) using RT-qPCR and (IL-18) ELISA to characterize differential expression in all treatment groups. The pHIE animals were compared with controls (LPS-Normoxia, Saline-Hypoxia, Saline-Normoxia, and Naïve) and with a model of only hypoxia (10% O) exposure in mouse pups.
Results: The pHIE pups showed significantly higher expression of Caspase-9 throughout the cortex compared to Naïve pup brains (p < 0.05). MAP2 expression was significantly decreased (p < 0.05) between 1.5-6.0 mm of the brain compared to Saline-Hypoxia and Naïve animals. Both IL-1β and IL-10 expression in LPS-Hypoxia animals was significantly higher (p < 0.05) than in Saline-Hypoxia and Naive animals. TNF-α expression was not significantly different between LPS-Hypoxia and Saline-Hypoxia animals. However, both showed significantly different transcription, compared to Naive animals.
Discussion: The model we describe here shows cortical damage similar to that seen in human HIE.
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http://dx.doi.org/10.3389/fsysb.2025.1517712 | DOI Listing |
Alzheimers Res Ther
September 2025
Department of Neurology, Saarland University, Kirrberger Straße, 66421, Homburg/Saar, Germany.
Background: Alzheimer's disease (AD) patients and animal models exhibit an altered gut microbiome that is associated with pathological changes in the brain. Intestinal miRNA enters bacteria and regulates bacterial metabolism and proliferation. This study aimed to investigate whether the manipulation of miRNA could alter the gut microbiome and AD pathologies.
View Article and Find Full Text PDFJ Mol Histol
September 2025
Department of Urology, Yantai Yuhuangding Hospital, Qingdao University, No. 20 East Yuhuangding Road, Yantai, 264000, Shandong, China.
The stress urinary incontinence (SUI) is a difficulty in urology and current sub-urethral sling treatments are associated with inflamation and recurrence. In this study, we developed a novel tissue-engineered sling with myogenic induced adiposederived stem cells (MI-ADSCs) sheets induced by 5-Aza and combined with electrospun scaffolds of silk fibroin and poly(lactide-co-glycolide) (SF/PLGA) for the treatment of stress urinary incontinence. MI-ADSCs increased α-SMA, MyoD and Desmin the mRNA and protein expression.
View Article and Find Full Text PDFJ Mol Neurosci
September 2025
Department of Physiology, School of Medicine, Dokuz Eylul University, Izmir, Turkey.
The ketogenic diet (KD), a high-fat, low-carbohydrate regimen, has been shown to exert neuroprotective effects in various neurological models. This study explored how KD-alone or combined with antibiotic-induced gut microbiota depletion-affects cognition and neuroinflammation in aging. Thirty-two male rats (22 months old) were assigned to four groups (n = 8): control diet (CD), ketogenic diet (KD), antibiotics with control diet (AB), and antibiotics with KD (KDAB).
View Article and Find Full Text PDFNat Microbiol
September 2025
Division of Computational Pathology, Brigham and Women's Hospital, Boston, MA, USA.
Although dynamical systems models are a powerful tool for analysing microbial ecosystems, challenges in learning these models from complex microbiome datasets and interpreting their outputs limit use. We introduce the Microbial Dynamical Systems Inference Engine 2 (MDSINE2), a Bayesian method that learns compact and interpretable ecosystems-scale dynamical systems models from microbiome timeseries data. Microbial dynamics are modelled as stochastic processes driven by interaction modules, or groups of microbes with similar interaction structure and responses to perturbations, and additionally, noise characteristics of data are modelled.
View Article and Find Full Text PDFBr J Cancer
September 2025
School of Life Science and Technology, Harbin Institute of Technology, Harbin, China.
Background: Activin A/Smad signaling plays an important role in promoting cancer stemness and chemoresistance in pancreatic ductal adenocarcinoma (PDAC), however the precise regulation on the termination of this pathway has not been fully understood.
Methods: LncRNA SLC7A11-AS1 interacting proteins were identified through RNA pull-down followed by LC-MS/MS. The protein interaction was analyzed by co-immunoprecipitation.