Dual Labeling Research Articles

Developmental expression of calretinin in the mouse cochlea.

This study investigated the expression of calretinin (CR) in the mouse cochlea from embryonic day 17 (E17) to adulthood through immunofluorescence. At E17, CR immunoreactivity was only detected in the inner hair cells (IHCs). At E19, the IHCs and spiral ganglion neurons (SGNs) begin to express CR. At birth, CR immunoreactivity was confined primarily to the IHCs and the majority of the SGNs, as identified by TUJ1, both the cytoplasm and the nucleus of SGNs exhibited CR positivity. At postnatal day 2 (P2), auditory nerve fibers reaching the IHCs were stained for CR. CR continued to be expressed in the IHCs, whereas only single row of outer hair cells (OHCs) were positive for CR. By P5, CR expression was evident in IHCs and the three rows of OHCs, with SGNs soma and their neurite projections also displaying CR immunoreactivity. From P8 through adulthood, CR expression persisted in the SGNs and their afferent neurite projections to the IHCs, as well as in IHCs and OHCs. Dual labeling of CR with afferent nerve marker neurofilament 200 (NF200) demonstrated that NF 200-positive SGN somas were encompassed by CR-labeled plasma membrane of SGNs, and NF 200 was co-localized with CR in the afferent nerve fibers innervating the IHCs. We also described the expression of peripherin, a marker for type II SGNs, in the mouse cochlea at various postnatal stages. Peripherin showed a distinct spatio-temporal expression compared to CR in auditory nerve fibers. No co-expression of peripherin and CR was detected in adult. Dynamic expression patterns of CR in the embryonic and postnatal cochlea supported its roles in cochlear development.

Evidence of Browning and Inflammation Features in Visceral Adipose Tissue of Women with Endometriosis

Patients with endometriosis tend to have a low body mass index, suggesting an inverse relationship between body fat and risk of disease. This is supported by evidence that miRNAs differentially expressed in endometriosis induce browning of pre-adipocytes in vitro. Thus, we hypothesize that endometriosis may underlie adipose tissue (AT) dysfunction and browning. Identify inflammation and browning processes in AT collected from endometriosis patients. Visceral and subcutaneous AT samples were obtained during endometriosis (n = 32) or uterine myoma (n = 14; controls) surgery. Blood catecholamines were determined by high-performance liquid chromatography while IL-6 and TGF-β levels were quantified by ELISA. Adipocyte cross-sectional areas were analyzed in H&E-stained sections by computer-assisted morphometry. Macrophages (F4/80; Galectin-3) and browning activation (UCP-1; PGC-1α) in tissues were identified by dual label immunofluorescence. Expression of inflammatory (IL-6; MCP-1; Galectin-3; CD206; TIMP1; TGF-β) and browning-related (UCP-1; PGC-1α; DIO2; CITED1; CIDEA; TMEM26; TBX1; PRDM16; PPAR-γ) molecules in AT were assessed by RT-PCR and Western blotting. Compared to controls, patients presented smaller adipocytes, especially in VAT, and lower norepinephrine levels. Serum IL-6, but not TGF-β, was increased in patients. UCP-1, PGC-1α, IL-6, and MCP-1 were upregulated in VAT from endometriosis women, which also evidenced a reduction of CD206, relative to controls. However, no differences were found in mRNA expression of IL-6, TIMP1, and TGF-β nor Galectin-3 protein levels. In SAT, protein expression remained unchanged between patients and controls. Our findings support an endometriosis' role as a pro-catabolic state along with local signals of VAT browning and inflammation.

Neutrophil extracellular traps are an important component of chronic myocardial inflammation in patients with heart failure

Abstract Background and aim We have previously shown that heart failure (HF) is characterized by chronic inflammation. However, the role of neutrophils (N) and extracellular neutrophil traps (NETs) in the myocardium of patients with HF is largely unknown. The present study investigated the number of neutrophils (N) and their proportion that develop NETs in HF. Methods We used quantitative confocal microscopy and NETs markers in the left ventricular biopsies obtained from 5 controls and from patients with HF due to dilated (DCM, n=7), ischemic (ICM, n=7) and inflammatory (infCMP, n=7) cardiomyopathy. We used immunolabeling for CD45 (N) and for NETs (citrullinated histone 3 (CitH3), peptidylarginine deiminase-4 (PAD-4), neutrophil elastase (NE) and myeoloperoxidase (MPO). Results Compared to the control, the number of N was 4.3-5.7 times higher in HF. Using single labeling for NETs marker revealed that 41.1±4.6% of N in DCM, 42.9±4.1% in ICM and 47.6±2.9% in infCMP developed NETs. The use of dual labeling (MPO with CitH3, MPO with PAD-4 and CitH3 with NE) resulted in 54.5±4.7% of N-developing NETs in DCM, 59.5±4.1% in ICM and 77.6%±4.2 in infCMP. The difference between N-undergoing NETs was statistically different in infCMP than in DCM.and ICM. The proportion of N-forming NETs in control tissue was less than 5% and was significantly different from that in HF patients regardless of etiology. Conclusions This is the first study to show the presence of NETs in human hearts in situ and demonstrates that NETs are an important component of chronic inflammation in HF due to cardiomyopathies.

Development and application of a dual isotopic labeling method for enhanced detection and quantification of stimulants in urine samples using high-resolution mass spectrometry.

Given the critical nature of anti-doping efforts, the detection of stimulant substances is shifting from accurate qualitative analysis to precise quantitative analysis. Additionally, the use of liquid chromatography-high-resolution mass spectrometry (LC-HRMS) in detecting stimulants is becoming more widespread. However, the lack of isotope-labeled internal standards is causing increasing issues with quantitative accuracy. Furthermore, challenges such as the mass spectrometric response of small molecules and the separation of isomers present additional difficulties. We have developed a quantitative method for stimulant substances containing amine or phenol hydroxyl groups, using a dual-label derivatization system. This method offers a new perspective for analyzing and detecting low molecular weight substances, isomers, or those with poor LC-MS response, and proposes a solution to the problem of missing isotope-labeled internal standards. Methodological validation has shown that this approach has promising application potential.

Expanding and improving analyses of nucleotide recoding RNA-seq experiments with the EZbakR suite.

Nucleotide recoding RNA sequencing methods (NR-seq; TimeLapse-seq, SLAM-seq, TUC-seq, etc.) are powerful approaches for assaying transcript population dynamics. In addition, these methods have been extended to probe a host of regulated steps in the RNA life cycle. Current bioinformatic tools significantly constrain analyses of NR-seq data. To address this limitation, we developed EZbakR, an R package to facilitate a more comprehensive set of NR-seq analyses, and fastq2EZbakR, a Snakemake pipeline for flexible preprocessing of NR-seq datasets, collectively referred to as the EZbakR suite. Together, these tools generalize many aspects of the NR-seq analysis workflow. The fastq2EZbakR pipeline can assign reads to a diverse set of genomic features (e.g., genes, exons, splice junctions, etc.), and EZbakR can perform analyses on any combination of these features. EZbakR extends standard NR-seq mutational modeling to support multi-label analyses (e.g., s 4 U and s 6 G dual labeling), and implements an improved hierarchical model to better account for transcript-to-transcript variance in metabolic label incorporation. EZbakR also generalizes dynamical systems modeling of NR-seq data to support analyses of premature mRNA processing and flow between subcellular compartments. Finally, EZbakR implements flexible and well-powered comparative analyses of all estimated parameters via design matrix-specified generalized linear modeling. The EZbakR suite will thus allow researchers to make full, effective use of NR-seq data.

The effects and mechanism of discounting unit price

PurposeSupermarket promotions typically use a standard label, which displays the regular price, discounted price and discounted unit price. Visits to supermarkets across multiple countries found that none used a price label that also contains the regular (i.e. pre-discounted) unit price. This study aims to investigate the effectiveness of a dual unit-price label that includes the regular unit price as a reference price, and what underpins its efficacy in enhancing promotion attractiveness.Design/methodology/approachThe authors executed four studies, supported by three supplemental studies. Study 1 established external validity through a natural instore experiment. Studies 2 and 3 tested the dual unit-price label with different pack sizes and assortment sizes, respectively. Finally, Study 4 tested the underpinning mechanism of the efficacy of the dual unit-price label.FindingsIn Study 1, daily sales records over four weeks showed that dual unit-price label promotions had larger sales volume than standard-label promotions. Study 2 showed a larger pack size, a heuristic cue for greater economy and increased preference for dual unit-price label promotions. Study 3 similarly found that the dual unit-price label was preferred more as cognitive load was increased by assortment size. Finally, Study 4 demonstrated the dual processing of the dual unit-price label, using a conscious preference measure (information provided) and an unconscious implicit attitude test.Research limitations/implicationsUnit-price research has mainly considered a cognitive process. The authors demonstrated the importance of considering a heuristic process.Practical implicationsSupermarkets can use this simple and yet effective tool to improve promotion effectiveness.Originality/valueThis study demonstrates that the dual unit-price label is a new and easy tool to enhance sales promotions, which academic research and managerial practice had never considered previously.

Soil carbon and nitrogen cycling at the atmosphere-soil interface: Quantifying the responses of biocrust-soil interactions to global change.

In drylands, where water scarcity limits vascular plant growth, much of the primary production occurs at the soil surface. This is where complex macro- and microbial communities, in an intricate bond with soil particles, form biological soil crusts (biocrusts). Despite their critical role in regulating C and N cycling in dryland ecosystems, there is limited understanding of the fate of biologically fixed C and N from biocrusts into the mineral soil, or how climate change will affect C and N fluxes between the atmosphere, biocrusts, and subsurface soils. To address these gaps, we subjected biocrust-soil systems to experimental warming and drought under controlled laboratory conditions, monitored CO2 fluxes, and applied dual isotopic labeling pulses (13CO2 and 15N2). This allowed detailed quantification of elemental pathways into specific organic matter (OM) pools and microbial biomass via density fractionation and phospholipid fatty acid analyses. While biocrusts modulated CO2 fluxes regardless of the temperature regime, drought severely limited their photosynthetic C uptake to the extent that the systems no longer sustained net C uptake. Furthermore, the effect of biocrusts extended into the underlying 1 cm of mineral soil, where C and N accumulated as mineral-associated OM (MAOM<63μm). This was strongly associated with increased relative dominance of fungi, suggesting that fungal hyphae facilitate the downward C and N translocation and subsequent MAOM formation. Most strikingly, however, these pathways were disrupted in systems exposed to warming, where no effects of biocrusts on the elemental composition of the underlying soil nor on MAOM were determined. This was further associated with reduced net biological N fixation under combined warming and drought, highlighting how changing climatic conditions diminish some of the most fundamental ecosystem functions of biocrusts, with detrimental repercussions for C and N cycling and the persistence of soil organic matter pools in dryland ecosystems.

Dual semi-supervised hypergraph regular multi-view NMF with anchor graph embedding

Graph regularized nonnegative matrix factorization (GNMF) has been widely used in multi-view clustering tasks due to its good clustering properties. However, it uses a simple graph to describe the complex data relationship of multiple views and tries to obtain a consistent low-dimensional representation, which undoubtedly brings challenges to its clustering performance. In addition, clustering a large amount of high-dimensional data from multiple views undoubtedly faces a huge computational burden. In order to effectively improve the performance and efficiency of GNMF based multi-view clustering algorithm, this paper proposes a dual semi-supervised hypergraph regular multi-view clustering method with anchor graph embedding (DSSHMNMFAE). Specifically, DSSHMNMFAE develops a new anchor selection method to generate anchors and the anchor bipartite graph is constructed to embed the matrix factorization process. DSSHMNMFAE constructs a hypergraph to effectively learn the high-order relationship between data from multiple views. In order to perform semi-supervised learning more efficiently, DSSHMNMFAE integrates pairwise constraint information and label constraint information into the clustering process as dual label information. In addition, DSSHMNMFAE considers the learning of both consistency information and complementarity information, and adopts adaptive measures to distinguish the contributions of different views. We use the alternating iterative algorithm to optimize the objective function of DSSHMNMFAE. The experimental results on eight real datasets show that the performance of DSSHMNMFAE is comparable to other algorithms.

Cerebral perfusion in patients with unilateral internal carotid artery occlusion by dual post-labeling delays arterial spin labeling imaging.

Global and regional cerebral blood flow (CBF) changes in patients with unilateral internal carotid artery occlusion (ICAO) are unclear when the dual post-labeling delays (PLD) arterial spin labeling (ASL) magnetic resonance imaging (MRI) technique is used. Manual delineation of regions of interest for CBF measurement is time-consuming and laborious. To assess global and regional CBF changes in patients with unilateral ICAO with the ASL-MRI perfusion technique. Twenty hospitalized patients with ICAO and sex- and age-matched controls were included in the study. Regional CBF was measured by Dr. Brain's ASL software. The present study evaluated differences in global, middle cerebral artery (MCA) territory, anterior cerebral artery territory, and Alberta Stroke Program Early Computed Tomography Score (ASPECTS) regions (including the caudate nucleus, lentiform nucleus, insula ribbon, internal capsule, and M1-M6) and brain lobes (including frontal, parietal, temporal, and insular lobes) between ICAO patients and controls at PLD 1.5 s and PLD 2.5 s. When comparing CBF between ICAO patients and controls, the global CBF in ICAO patients was lower at both PLD 1.5 s and PLD 2.5 s; the CBF on the occluded side was lower in 15 brain regions at PLD 1.5 s, and it was lower in 9 brain regions at PLD 2.5 s; the CBF in the contralateral hemisphere was lower in the caudate nucleus and internal capsule at PLD 1.5 s and in M6 at PLD 2.5 s. The global CBF in ICAO patients was lower at PLD 1.5 s than at PLD 2.5 s. The ipsilateral CBF at PLD 1.5 s was lower than that at PLD 2.5 s in 15 regions, whereas the contralateral CBF was lower at PLD 1.5 s than at PLD 2.5 s in 12 regions. The ipsilateral CBF was lower than the contralateral CBF in 15 regions at PLD 1.5 s, and in M6 at PLD 2.5 s. Unilateral ICAO results in hypoperfusion in the global and MCA territories, especially in the ASPECTS area. Dual PLD settings prove more suitable for accurate CBF quantification in ICAO.

Introducing Chemoselective Peptide Conjugation via N-Alkylation of Pyridyl-alanine: Solution and Solid Phase Applications.

A novel chemoselective peptide conjugation via late-stage N-alkylation of pyridyl-alanine (PAL) in the solution and solid phase, namely, NAP, is demonstrated. The method constructs functionally diverse and highly stable N-alkylated conjugates with various peptides. Notably, conjugations in the solid phase offered a more economical process. The method can provide the opportunity for dual labeling along with a cysteine handle in a peptide chain. Finally, we showcased that the antiproliferative activities of the p53 peptide (MDM2 inhibitor) could be 2-fold enhanced via NAP conjugation with the RGD peptide (selective integrin binder).

Parasitic plants regulate C and N distribution among common mycorrhizal networks linking host and neighboring plants.

Common mycorrhizal networks (CMNs) can link multiple plants and distribute nutrients among them. However, how parasitic plants regulate the carbon and nutrient exchange between CMNs and the linked plants is unknown. Thus, we conducted a container experiment with two Trifolium pratense grown in two plastic cores and connected only by CMNs using a 25-μm nylon fabric in each container. Host T. pratense was parasitized or not parasitized by Cuscuta gronovii. CMNs were left intact or broken by rotating the cores with the host or neighboring T. pratense. The dual 15N and 13C labeling method was used to evaluate the N distributed by CMNs to the host and neighboring T. pratense and the recently fixed C from the host and neighboring T. pratense to CMNs. The results showed that CMNs distributed more 15N to unparasitized neighboring T. pratense than the parasitized host T. pratense. Moreover, the unparasitized neighboring T. pratense provides more recently fixed C to CMNs than the parasitized host T. pratense. These results revealed that the parasite regulated C and nutrient exchange between CMNs and the linked plants following the reciprocal rewards rule. Moreover, this study highlights the importance of parasitic plants in the regulation of mutualistic interactions in ecological webs.

Development of a monomolecular multifunctional imaging probe for dual labeling of LDL to image and characterize atherosclerotic plaques

Development of a monomolecular multifunctional imaging probe for dual labeling of LDL to image and characterize atherosclerotic plaques

Tumor necrosis factor alpha induces NOX2-dependent reactive oxygen species production in hypothalamic paraventricular nucleus neurons following angiotensin II infusion

There is evidence that tumor necrosis factor alpha (TNFα) influences autonomic processes coordinated within the hypothalamic paraventricular nucleus (PVN), however, the signaling mechanisms subserving TNFα′s actions in this brain area are unclear. In non-neuronal cell types, TNFα has been shown to play an important role in canonical NADPH oxidase (NOX2)-mediated production of reactive oxygen species (ROS), molecules also known to be critically involved in hypertension. However, little is known about the role of TNFα in NOX2-dependent ROS production in the PVN within the context of hypertension. Using dual labeling immunoelectron microscopy and dihydroethidium (DHE) microfluorography, we provide structural and functional evidence for interactions between TNFα and NOX2 in the PVN. The TNFα type 1 receptor (TNFR1), the major mediator of TNFα signaling in the PVN, was commonly co-localized with the catalytic gp91phox subunit of NOX2 in postsynaptic sites of PVN neurons. Additionally, there was an increase in dual labeled dendritic profiles following fourteen-day slow-pressor angiotensin II (AngII) infusion. Using DHE microfluorography, it was also shown that TNFα application resulted in a NOX2-dependent increase in ROS in isolated PVN neurons projecting to the spinal cord. Further, TNFα-mediated ROS production was heightened after AngII infusion. The finding that TNFR1 and gp91phox are positioned for rapid interactions, particularly in PVN-spinal cord projection neurons, provides a molecular substrate by which inflammatory signaling and oxidative stress may jointly contribute to AngII hypertension.

Biogenic silver nanomaterials synthesized from Ocimum sanctum leaf extract exhibiting robust antimicrobial and anticancer activities: Exploring the therapeutic potential

There is a surge in antibiotic consumption because of the emergence of resistance among microbial pathogens. In the escalating challenge of antibiotic resistance in microbial pathogens, silver nanoparticles (AgNPs)-mediated therapy has proven to be the most effective and alternative therapeutic strategy for bacterial infections and cancer treatment. This study aims to explore the potential of OsAgNPs derived from Ocimum sanctum's aqueous leaf extract as antimicrobial agents and anticancer drug delivery modalities. This study utilized a plant extract derived from Ocimum sanctum (Tulsi) leaves to synthesize silver nanoparticles (OsAgNPs), that were characterized by FTIR, TEM, SEM, and EDX. OsAgNPs were assessed for their antibacterial and anticancer potential. TEM analysis unveiled predominantly spherical or oval-shaped OsAgNPs, ranging in size from 4 to 98 nm. The (MICs) of OsAgNPs demonstrated a range from 0.350 to 19.53 μg/ml against clinical, multidrug-resistant (MDR), and standard bacterial isolates. Dual labelling with ethidium bromide and acridine orange demonstrated that OsAgNPs induced apoptosis in HeLa cells. The OsAgNPs-treated cells showed yellow-green fluorescence in early-stage apoptotic cells and orange fluorescence in late-stage cells. Furthermore, OsAgNPs exhibited a concentration-dependent decrease in HeLa cancer cell viability, with an IC50 value of 90 μg/ml noted. The study highlights the remarkable antibacterial efficacy of OsAgNPs against clinically significant bacterial isolates, including antibiotic-resistant strains. These results position the OsAgNPs as prospective therapeutic agents with the potential to address the growing challenges posed by antibiotic resistance and cervical cancer.

P‐234: Late‐News Poster: A Data‐Centric Approach to Minimize Defect Leakage in an AI‐based Automated Surface Inspection System for Display Manufacturing Process

This study advances Surface Inspection (SI) in display panel manufacturing using a data‐centric approach, addressing high gray zone rates and data discrepancies. We employed a data flywheel method with dual labeling to improve dataset quality. Results show expanded automated coverage and enhanced classification, reducing defect leakage, demonstrating AI's impact in smart manufacturing processes.

Accurate and highly sensitive detection of Alzheimer's disease-related extracellular vesicles via förster resonance energy transfer

Alzheimer's disease (AD) is the most common neurodegenerative disease in the world and poses a huge challenge to global healthcare. Early and accurate detection of amyloid-β (1-42) (Aβ42), a key biomarker of AD, is crucial for effective diagnosis and intervention of AD. Specific or overexpressed proteins on extracellular vesicles (EVs) describe a close correlation with the occurrence and development of diseases. EVs are a very promising non-invasive biomarker for the diagnosis of AD and other diseases. As a sensitive, simple and rapid analytical method, fluorescence resonance energy transfer (FRET) has been widely applied in the detection of EVs. Herein, we developed a dual labelling strategy for simultaneously detecting EV membrane proteins of Aβ42 and CD63 based on FRET pair consisting of Au nanoclusters (AuNCs) and polydopamine nanospheres (PDANSs). The constructed nanoprobe, termed EVMPFAP assay, could specifically measure the Aβ42 and CD63 on EVs with excellent sensitivity, high specificity and satisfactory accuracy. The limit of detection of EVMPFAP assay was 1.4 × 103 particles mL−1 and the linear range was from 104 to 108 particles mL−1. EVMPFAP assay was successfully used to analyze plasma EVs to distinguish AD and healthy mice. We expect that EVMPFAP assay can be routinely applied for early diagnosis and development-monitoring of AD, thus facilitating the fight against AD.

Exploring the Therapeutic Potential of Baicalin: Mitigating Anxiety and Depression in Epileptic Rats.

Epilepsy is a serious neurological disorder that affects millions of people each year, often leading to cognitive issues and reduced quality of life. Medication is the main treatment, but many patients experience negative side effects. Male Sprague-Dawley (SD) rats were chosen as experimental animals for this experiment due to their physiological and genetic similarities to humans, cost-effectiveness, and ease of handling in a laboratory setting. The objective of this study was to assess the neuroprotective properties of baicalin (BA) in relation to its impact on anxiety and depressive-like behaviors in the epilepsy model. Thirty male Sprague-Dawley (SD) rats were selected for this experiment. Pentylenetetrazol (PTZ) kindling (40 mg/kg; i.p.) was utilized to establish an epilepsy model. The effect of BA (50 mg/kg; gavage) on seizure severity (assessed using the Racine scale), anxiety, and depressive- like behaviors (evaluated through open field experiments and forced swimming tests) was examined. Histological examinations, including hematoxylin and eosin (HE) staining and Nissl staining, were conducted to assess neuronal damage. Furthermore, the neuroprotective properties of BA were examined through the analysis of Doublecortin (DCX), MKI67 (KI67), and Brain-Derived Neurotrophic Factor (BDNF) levels in the hippocampus of rats. The inhibitory impact of BA on neuroinflammation was assessed via dual labeling for NOD-like receptor thermal protein domain associated protein 3 (NLRP3) and the microglial marker ionized calcium- binding adapter molecule 1 (Iba-1). The influence of BA on the expression of P2X7 receptor (P2X7R), NLRP3, and Interleukin-1β (IL-1β) was also assessed by reverse transcription quantitative PCR (RT-qPCR) in the brain. Finally, we employed a molecular docking model to assess the extent of receptor-ligand binding. Epilepsy models exhibited significant anxiety and depressive-like behaviors, and BA significantly reduced the severity of seizures in these rats while also alleviating their anxiety and depressive-like behaviors. Moreover, neuronal loss and damage were observed in the hippocampus of epileptic rats, but BA was able to effectively counteract this issue by enhancing BDNF expression and promoting neurogenesis within the hippocampus, especially in the DG region. The co-localization of Iba-1 with NLRP3 indicated the activation of NLRP3 inflammasome in microglia. Subsequent RT-PCR revealed that BA may alleviate anxiety and depressive-like behaviors in epileptic rats by activating the P2RX7/NLRP3/ IL-1β signaling pathway. The final molecular docking results indicated that BA had a good binding affinity with proteins, such as P2RX7, NLRP3, and IL-1β. This study confirmed the effectiveness of BA in improving anxiety and depressivelike behaviors associated with epilepsy. Moreover, it provides theoretical support for the neuroprotective role demonstrated by BA.

Effect of LRRC15 on autophagy in A549 cells.

Idiopathic pulmonary fibrosis (IPF) is a progressive, chronic, and irreversible interstitial lung disease with unknown cause. To explore the role and regulatory mechanism of leucine-rich repeat-containing protein 15 (LRRC15) in IPF, bleomycin (BLM)-induced pulmonary fibrosis in mouse and A549 cells were constructed, and the expression of LRRC15 were detected. Then, MTT, GFP-RFP-LC3 dual fluorescent labeling system and Western blotting were used to investigate the effects of LRRC15 on cell activity and autophagy after transfection of siLRRC15, respectively. The results indicated that the expression of LRRC15 was significantly increased after the BLM treatment in mouse lung tissue and A549 cells. The designed and synthesized siLRRC15 followed by transfection into A549 cells resulted in a dramatic reduction in LRRC15 expression and partially restored the cell damage induced by BLM. Moreover, the expression of LC3-II and P62 were up-regulated, the amount of autophagosome were increased by GFP-RFP-LC3 dual fluorescent labeling assay after BLM treatment. Meanwhile, this study also showed that the key autophagy proteins LC3-II, ATG5 and ATG7 were up-regulated, P62 was down-regulated and autophagic flux were enhanced after further treatment of A549 cells with siLRRC15. The above findings suggest that LRRC15 is an indicator of epithelial cell damage and may participate in the regulation of fibrosis through autophagy mechanism in IPF. This study provides necessary theoretical basis for further elucidating the mechanism of IPF.

Distribution of interstitial cells within the mouse esophagus and their spatial relationship to enteric neurons

Background/Objectives: The esophagus is a conduit for the passage of ingested material into the stomach. In humans, it is divided into thirds; the proximal portion is composed of skeletal muscle, the distal is composed of smooth muscle and the middle is a transition zone between skeletal and smooth muscles. In other species such as the mouse, the esophagus has been described to consist entirely of skeletal muscle. Despite this, interstitial cells of Cajal (ICC), cells that regulate gastrointestinal (GI) smooth muscle contractility, have been identified throughout the mouse esophageal body (Rumessen et al., 2001; PMID:11683170). Additional studies in the human esophagus have identified another interstitial cell type, PDGFRa+ cells (Chen et al., 2013; PMID:23734090). However, the distribution of interstitial cells, motor and sensory neurons and their spatial relationship to one another have never been examined. Since interstitial cells modulate contractility of smooth muscle in other GI regions, the presence of these cells leads to the hypothesis that the mouse esophagus also contains smooth muscle cells (SMCs). Therefore, the aims of our study were to 1) determine if SMCs are found within the mouse esophagus, 2) characterize the distribution of ICC and PDGFRa+ cells, and 3) examine the relationship of interstitial cells to enteric motor and sensory neurons. Methods: Wildtype (C57Bl/6) and smooth muscle eGFP (smMHC-eGFP) mouse esophagus was used for dual labeling immunohistochemistry. ICC were labeled with antibodies against Kit or ANO1. PDGFRa+ cells were labeled with antibodies against PDGFRa or SK3. Extrinsic sympathetic neurons were labeled with tyrosine hydroxylase (TH). Motor neurons were labeled with antibodies against NOS, VIP (inhibitory) and vChAT (excitatory). Sensory neurons were labeled with CGRP. Images were taken with a Leica Stellaris 5 confocal microscope and processed using LasX software. Results: SMCs were found throughout the length of the esophagus, although their density declined proximally. Intramuscular ICC expressed ANO1 and were distributed throughout the length of the esophagus with the greatest density in the gastroesophageal junction (GEJ). Submucosal and intramuscular PDGFRa+ cells were distributed throughout the esophagus and GEJ. Intramuscular PDGFRa+ cells expressed SK3 though this expression declined proximally. SMCs, intramuscular ICC and PDGFRa+ cells were closely associated with one another as well as with neurons. Discussion/Conclusions: This study is the first to systematically characterize SMCs, ICC, PDGFRa+ cells and neurons in the mouse esophagus. These findings suggest that the mouse may represent a better translational model for studying esophageal motility than previously assumed. NIH DK129528 and P20GM130459. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Cross-subject generalizable representation learning with class-subject dual labels for biosignals

Biosignals provide information about the onset of certain diseases or health conditions, aiding in diagnosing diseases and monitoring health conditions quickly and accurately. However, the inter-subject variability within biosignals hampers the model performance. In this study, we propose an inter-subject similar loss to learn representations robust to inter-subject variability. This loss promotes subject invariance, improves the generalizability of the representation, and allows better representations to be learned even with fewer training subjects. The proposed framework consists of two complementary loss functions: (1) supervised contrastive loss and (2) inter-subject similar loss. We evaluated the classification performance of the proposed method on three public biosignal datasets. The experimental results demonstrate that the proposed method outperforms the comparison methods and that the subject-invariant representation performs well on unseen subjects. Code is available at: https://github.com/KimHyeon-Ji/CSGR-Bio.git