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Hundreds of 90-s iEEG records are typically captured from each NeuroPace RNS System patient between clinic visits. While these records provide invaluable information about the patient’s electrographic seizure and interictal activity patterns, manually classifying them into electrographic seizure/non-seizure activity, and manually identifying the seizure onset channels and times is an extremely time-consuming process. A convolutional neural network based Electrographic Seizure Classifier (ESC) model was developed in an earlier study. In this study, the classification model is tested against iEEG annotations provided by three expert reviewers board certified in epilepsy. The three experts individually annotated 3,874 iEEG channels from 36, 29, and 35 patients with leads in the mesiotemporal (MTL), neocortical (NEO), and MTL + NEO regions, respectively. The ESC model’s seizure/non-seizure classification scores agreed with the three reviewers at 88.7%, 89.6%, and 84.3% which was similar to how reviewers agreed with each other (92.9%–86.4%). On iEEG channels with all 3 experts in agreement (83.2%), the ESC model had an agreement score of 93.2%. Additionally, the ESC model’s certainty scores reflected combined reviewer certainty scores. When 0, 1, 2 and 3 (out of 3) reviewers annotated iEEG channels as electrographic seizures, the ESC model’s seizure certainty scores were in the range: [0.12–0.19], [0.32–0.42], [0.61–0.70], and [0.92–0.95] respectively. The ESC model was used as a starting-point model for training a second Seizure Onset Detection (SOD) model. For this task, seizure onset times were manually annotated on a relatively small number of iEEG channels (4,859 from 50 patients). Experiments showed that fine-tuning the ESC models with augmented data (30,768 iEEG channels) resulted in a better validation performance (on 20% of the manually annotated data) compared to training with only the original data (3.1s vs 4.4s median absolute error). Similarly, using the ESC model weights as the starting point for fine-tuning instead of other model weight initialization methods provided significant advantage in SOD model validation performance (3.1s vs 4.7s and 3.5s median absolute error). Finally, on iEEG channels where three expert annotations of seizure onset times were within 1.5 s, the SOD model’s seizure onset time prediction was within 1.7 s of expert annotation.

Idiopathic pulmonary fibrosis (IPF) is a progressive fibrotic lung disease. We previously identified fibrogenic mesenchymal progenitor cells (MPCs) in the lungs of patients with IPF who serve as drivers of progressive fibrosis. Recent single-cell RNA sequencing work revealed that IPF MPCs with the highest transcriptomic network entropy differ the most from control MPCs and that increased CD44 was a marker of these IPF MPCs. We hypothesize that IPF MPCs with high CD44 (CD44hi) expression will display enhanced fibrogenicity. We demonstrate that CD44-expressing MPCs are present at the periphery of the IPF fibroblastic focus, placing them in regions of active fibrogenesis. In a humanized mouse xenograft model, CD44hi IPF MPCs are more fibrogenic than CD44lo IPF MPCs, and knockdown of CD44 diminishes their fibrogenicity. CD44hi IPF MPCs display increased expression of pluripotency markers and enhanced self-renewal compared with CD44lo IPF MPCs, properties potentiated by IL-8. The mechanism involves the accumulation of CD44 within the nucleus, where it associates with the chromatin modulator protein Brahma-related gene 1 (Brg1) and the zinc finger E-box binding homeobox 1 (Zeb1) transcription factor. This CD44/Brg1/Zeb1 nuclear protein complex targets the Sox2 gene, promoting its upregulation and self-renewal. Our data implicate CD44 interaction with the epigenetic modulator protein Brg1 in conveying IPF MPCs with cell-autonomous fibrogenicity.

The mechanical properties of the soft palate can be associated with breathing abnormalities. Dorsal displacement of the soft palate (DDSP) is a naturally occurring equine soft palate disorder caused by displacement of the caudal edge of the soft palate. Snoring and a more serious, sometimes life-threatening, condition called obstructive sleep apnea (OSA) are forms of sleep-related breathing disorders in humans which may involve the soft palate. The goal of this study was to investigate the effect of injecting the protein crosslinker genipin into the soft palate to modify its mechanical properties for the treatment of equine DDSP with potential implications for the treatment of snoring and OSA in humans. Ex vivo experiments consisted of mechanical testing and a wind tunnel study to examine the effect of genipin on the mechanical properties, displacement, and vibration of equine soft palates. A pilot in vivo study was completed using DDSP and control horses to test the safety and effectiveness of injecting a genipin reagent into the soft palate. The wind tunnel testing demonstrated a greater than 50% decrease in transient deformation and a greater than 33% decrease in steady-state vibrations for all doses of genipin tested. Ultimate tensile stress, yield stress, and Young’s modulus were higher in the genipin-treated distal soft palate specimens by 52%, 53%, and 63%, respectively. The pilot in vivo study showed a reduction of snoring loudness in all DDSP horses and elimination of DDSP in at least one of three horses. The difficulty of using a 1-meter-long endoscopic injection needle contributed to a consistent overinjection of the equine soft palates, causing excessive stretching (pillowing) and related degradation of the tissue. These ex vivo and in vivo results demonstrated reduced vibration amplitude and flaccidity and increased strength of genipin-treated soft palates, suggesting that genipin crosslinking could become an effective and safe treatment for soft palate related breathing abnormalities.

Nonradioactive amplified fragment-length polymorphism (AFLP) marker detection, a PCR-based, DNA-fingerprinting technique, was achieved by blotting AFLP products after electrophoresis onto a nylon membrane and subsequently hybridizing the blot with an alkaline phosphatase-labeled AFLP probe. Similar AFLP profiles were obtained by both a nonradioactive, chemiluminescent detection technique and by conventional AFLP marker detection using 32P-labeled AFLP primers. The suitability of the method using different gel systems combined with subsequent chemiluminescent detection of AFLP markers is validated by similar dendrograms that were generated using the unweighted pair group method with arithmetic averages (UPGMA). Moreover, chemiluminescent detection of AFLP markers using a universal AFLP nonradioactive probe has been successfully applied on prokaryotes such as Agrobacterium and eukaryotic genomes such as soybean and fungi.

Fear-related psychopathologies such as post-traumatic stress disorder are characterized by impaired extinction of fearful memories. Recent behavioral evidence suggests that the neuropeptide tuberoinfundibular peptide of 39 residues (TIP39), via its receptor, the parathyroid hormone 2 receptor (PTH2R), modulates fear memory. Here we examined the anatomical and cellular localization of TIP39 signaling that contributes to the increase in fear memory over time following a traumatic event, called fear memory incubation. Contextual freezing, a behavioral sign of fear memory, was significantly greater inPTH2Rknock-out than wild-type male mice 2 and 4 weeks after a 2 s 1.5 mA footshock. PTH2R knock-out mice had significantly reduced c-Fos activation in the medial amygdala (MeA) following both footshock and fear recall, but had normal activation in the hypothalamic paraventricular nucleus and the amygdalar central nucleus compared with wild-type. We therefore investigated the contribution of MeA TIP39 signaling to fear incubation. Similar to the effect of global TIP39 signaling loss, blockade of TIP39 signaling in the MeA by lentivirus-mediated expression of a secreted PTH2R antagonist augmented fear incubation. Ablation of MeA PTH2R-expressing neurons also strengthened the fear incubation effect. Using the designer receptor exclusively activated by designer drug pharmacogenetic approach, transient inhibition of MeA PTH2R-expressing neurons before or immediately after the footshock, but not at the time of fear recall, enhanced fear incubation. Collectively, the findings demonstrate that TIP39 signaling within the MeA at the time of an aversive event regulates the increase over time in fear associated with the event context. [ABSTRACT FROM AUTHOR]