Correction: Nakkala et al. Differential Regulation of DC Function, Adaptive Immunity, and MyD88 Dependence by Two Squalene Emulsion-Based Vaccine Adjuvants. 2024, , 531.

The authors would like to make the corrections described below to the published paper [...

Prediction of real-time cine-MR images during MRI-guided radiotherapy of liver cancer using a GAN-ConvLSTM network.

Background: Respiratory motion during radiotherapy (RT) may reduce the therapeutic effect and increase the dose received by organs at risk. This can be addressed by real-time tracking, where respiration motion prediction is currently required to compensate for system latency in RT systems. Notably, for the prediction of future images in image-guided adaptive RT systems, the use of deep learning has been considered.

Aperiodic neural activity distinguishes between phasic and tonic REM sleep.

Traditionally categorized as a uniform sleep phase, rapid eye movement sleep exhibits substantial heterogeneity with its phasic and tonic constituents showing marked differences regarding many characteristics. Here, we investigate how tonic and phasic states differ with respect to aperiodic neural activity, a marker of arousal and sleep. Rapid eye movement sleep heterogeneity was assessed using either binary phasic-tonic (n = 97) or continuous (in 60/97 participants) approach.

Cross-technique transfer learning for autoplanning in magnetic resonance imaging-guided adaptive radiotherapy for rectal cancer.

Purpose: Automated treatment plan generation is essential for magnetic resonance imaging (MRI)-guided adaptive radiotherapy (MRIgART) to ensure standardized treatment-plan quality. We proposed a novel cross-technique transfer learning (CTTL)-based strategy for online MRIgART autoplanning.

Method: We retrospectively analyzed the data from 210 rectal cancer patients.

Treatment Effect Heterogeneity in Acute Kidney Injury Incidence Following Intravenous Antihypertensive Administration for Severe Blood Pressure Elevation During Hospitalization.

Rationale & Objective: Severe hypertension (sHTN) that develops after hospital admission is prevalent in 10% of patients admitted for reasons other than HTN. sHTN is commonly treated with intravenous (IV) antihypertensives and is associated with a greater risk of acute kidney injury (AKI). Our goal was to explore whether there is heterogeneity in IV antihypertensives' effect on AKI incidence among patients who develop sHTN during hospitalization.

GLCCI1 alleviates GRP78-initiated endoplasmic reticulum stress-induced apoptosis of retinal ganglion cells in diabetic retinopathy by upregulating and interacting with HSP90AB1.

Retinal ganglion cells (RGCs) are among the first neurons to undergo apoptosis in diabetic retinopathy (DR), with their relationship to endoplasmic reticulum stress (ERS)-induced apoptosis still unclear. While glucocorticoid-induced transcript 1 (GLCCI1) has been shown to inhibit apoptosis, its role in ERS-induced apoptosis and its mechanisms in DR remain unclarified. Our findings indicated that GLCCI1 is predominantly localized in the ganglion cell layer and is downregulated in DR.

Two-stage pseudo maximum likelihood estimation of semiparametric copula-based regression models for semi-competing risks data.

We propose a two-stage estimation procedure for a copula-based model with semi-competing risks data, where the non-terminal event is subject to dependent censoring by the terminal event, and both events are subject to independent censoring. With a copula-based model, the marginal survival functions of individual event times are specified by semiparametric transformation models, and the dependence between the bivariate event times is specified by a parametric copula function. For the estimation procedure, in the first stage, the parameters associated with the marginal of the terminal event are estimated using only the corresponding observed outcomes, and in the second stage, the marginal parameters for the non-terminal event time and the copula parameter are estimated together via maximizing a pseudo-likelihood function based on the joint distribution of the bivariate event times.

A novel mutation in the BTB domain impairs transcriptional repression function of KCTD1 leading to syndromic microtia.

Microtia is a common birth defect affecting the external ears and encompasses a spectrum of congenital anomalies of the auricle. For some of the microtia-associated syndromes, the additional abnormalities are not easily observed or with variable expressivity. Identifying pathogenic mutations through genetic testing is of great help in recognizing these highly heterogeneous syndromes in clinical practice.

New electrophiles targeting thiols in a reversible covalent manner.

Reversible covalent electrophiles with the advantages of both reversible and covalent interactions receive much attention in the fields of chemical biology and medicinal chemistry. Here, we report two electron-deficient olefins activated by amide and ester, amide-substituted acrylamide and methyl ester-substituted acrylamide, targeting thiols in a reversible covalent manner.

Effect of tDCS combined with virtual reality for post-stroke cognitive impairment: a randomized controlled trial study protocol.

Background: Post-stroke cognitive impairment (PSCI) not only increases patient mortality and disability, but also adversely affects motor function and the ability to perform routine daily activities. Current therapeutic approaches for, PSCI lack specificity, primarily relying on and medication and traditional cognitive therapy supplemented by a limited array of tools. Both transcranial direct current stimulation (tDCS) and virtual reality (VR) training have demonstrated efficacy in improving cognitive performance among PSCI patients.

Gamma-aminobutyric acid-mediated neuro-immune interactions in glioblastoma: Implications for prognosis and immunotherapy response.

Aims: This study aimed to investigate the role of gamma-aminobutyric acid (GABA) in the glioblastoma (GBM) tumor immune microenvironment (TIME) and its impact on prognosis and response to immunotherapy.

Main Methods: This study employed single-cell RNA sequencing (scRNA-seq) to delineate the TIME of GBM, utilized non-negative matrix factorization (NMF) for GABA-associated cell clustering, and performed pseudotime analysis for cellular trajectories. Additionally, we integrated immunohistochemistry (IHC), immunofluorescence (IF), and protein-protein interaction (PPI) analysis to explore the regulatory mechanisms within the tumor microenvironment.

Sulfide promotes nitrogen removal in anammox low-strength ammonium wastewater treatment system.

Anammox has been widely used for denitrification from different wastewaters due to its low energy and carbon sources consumption. Nevertheless, the presence of nitrate in the effluent has been found to impede the enhancement of total nitrogen removal efficiency (TNRE). In this study, anammox was employed in conjunction with sulfur autotrophic denitrification (SAD) in order to enhance TNRE.

Clinical and Diagnostic Value of High-Density Lipoprotein-Based Inflammatory Indices and Lipid Ratios in Young Adults with Schizophrenia.

Purpose: This study aimed to assess High-density Lipoprotein (HDL)-based Inflammatory Indices and lipid profile changes in antipsychotic-naive first-episode schizophrenia (AN-FES) patients, chronic schizophrenia (CS) patients, and explore the clinical and predictive value of these parameters for schizophrenia.

Patients And Methods: The study cohort included 52 AN-FES patients, 46 CS patients, and 52 healthy controls (HCs), with an average age of 24 years. Upon admission, patients underwent complete blood count and lipid profile analyses.

Association of Neighborhood Social Determinants of Health with Acute Kidney Injury during Hospitalization.

Key Points: AKI is common among hospitalized patients. However, the contribution of neighborhood social determinants of health to AKI risk is not known. We found that among 26,769 hospitalized patients, 26% developed AKI.

A patient-specific auto-planning method for MRI-guided adaptive radiotherapy in prostate cancer.

Background And Purpose: Fast and automated generation of treatment plans is desirable for magnetic resonance imaging (MRI)-guided adaptive radiotherapy (MRIgART). This study proposed a novel patient-specific auto-planning method and validated its feasibility in improving the existing online planning workflow.

Materials And Methods: Data from 40 patients with prostate cancer were collected retrospectively.

Dose rate correction for the novel 2D diode array MapCHECK 3.

Purpose: To investigate the dose rate dependence of MapCHECK3 and its influence on measurement accuracy, as well as the effect of dose rate correction.

Materials And Methods: The average and instantaneous dose rate dependence of MapCHECK2 and MapCHECK3 were studied. The accuracy of measurements was investigated where the dose rate differed significantly between dose calibration of the MapCHECK and the measurement.

Stiff extracellular matrix drives the differentiation of mesenchymal stem cells toward osteogenesis by the multiscale 3D genome reorganization.

Extracellular matrix (ECM) stiffness is a major driver of stem cell fate. However, the involvement of the three-dimensional (3D) genomic reorganization in response to ECM stiffness remains unclear. Here, we generated comprehensive 3D chromatin landscapes of mesenchymal stem cells (MSCs) exposed to various ECM stiffness.

Improvement of accumulated dose distribution in combined cervical cancer radiotherapy with deep learning-based dose prediction.

Purpose: Difficulties remain in dose optimization and evaluation of cervical cancer radiotherapy that combines external beam radiotherapy (EBRT) and brachytherapy (BT). This study estimates and improves the accumulated dose distribution of EBRT and BT with deep learning-based dose prediction.

Materials And Methods: A total of 30 patients treated with combined cervical cancer radiotherapy were enrolled in this study.

Analysis of PD-L1 promoter methylation combined with immunogenic context in pancreatic ductal adenocarcinoma.

Despite the successful application of programmed cell death ligand 1 (PD-L1)-blocking strategies in some types of cancers and well-established prognostic indicators in pancreatic ductal adenocarcinoma (PDAC), the biological and clinical implications of the methylation status of PD-L1/PD-L2 in PDAC remain largely unknown. Therefore, this study aimed to explore the biological role of PD-L1/PD-L2 methylation and its association with clinicopathological features, clinical outcomes, and the immune microenvironment by analyzing the data on PD-L1/PD-L2 methylation and mRNA expression in PDAC cohorts obtained from the Cancer Genome Atlas and International Cancer Genome Consortium. The correlation between PD-L1 promoter methylation and PD-L1 expression and survival was further validated in an independent validation cohort (Peking Union Medical College Hospital [PUMCH] cohort) using pyrosequencing and immunohistochemistry.