Biological Relevance Research Articles

Current biological implications and clinical relevance of metastatic circulating tumor cells.

Metastatic disease and cancer recurrence are the primary causes of cancer-related deaths. Circulating tumor cells (CTCs) and disseminated tumor cells (DTCs) are the driving forces behind the spread of cancer cells. The emergence and development of liquid biopsy using rare CTCs as a minimally invasive strategy for early-stage tumor detection and improved tumor management is a promising advancement in recent years. However, before blood sample analysis and clinical translation, precise isolation of CTCs from patients' blood based on their biophysical properties, followed by molecular identification of CTCs using single-cell multi-omics technologies is necessary to understand tumor heterogeneity and provide effective diagnosis and monitoring of cancer progression. Additionally, understanding the origin, morphological variation, and interaction between CTCs and the primary and metastatic tumor niche, as well as and regulatory immune cells, will offer new insights into the development of CTC-based advanced tumor targeting in the future clinical trials.

Pathophysiology and preclinical relevance of experimental graft-versus-host disease in humanized mice.

Graft-versus-host disease (GVHD) is a life-threatening complication of allogeneic hematopoietic cell transplantations (allo-HCT) used for the treatment of hematological malignancies and other blood-related disorders. Until recently, the discovery of actionable molecular targets to treat GVHD and their preclinical testing was almost exclusively based on modeling allo-HCT in mice by transplanting bone marrow and splenocytes from donor mice into MHC-mismatched recipient animals. However, due to fundamental differences between human and mouse immunology, the translation of these molecular targets into the clinic can be limited. Therefore, humanized mouse models of GVHD were developed to circumvent this limitation. In these models, following the transplantation of human peripheral blood mononuclear cells (PBMCs) into immunodeficient mice, T cells recognize and attack mouse organs, inducing GVHD. Thereby, humanized mice provide a platform for the evaluation of the effects of candidate therapies on GVHD mediated by human immune cells in vivo. Understanding the pathophysiology of this xenogeneic GVHD is therefore crucial for the design and interpretation of experiments performed with this model. In this article, we comprehensively review the cellular and molecular mechanisms governing GVHD in the most commonly used model of xenogeneic GVHD: PBMC-engrafted NOD/LtSz-PrkdcscidIL2rγtm1Wjl (NSG) mice. By re-analyzing public sequencing data, we also show that the clonal expansion and the transcriptional program of T cells in humanized mice closely reflect those in humans. Finally, we highlight the strengths and limitations of this model, as well as arguments in favor of its biological relevance for studying T-cell reactions against healthy tissues or cancer cells.

Sustainable Design and Revolutionary Synthesis of Highly Recyclable Sulfonic Acid–Based Magnetic Nanoparticles as a Solid Acid for Synthesis of 2‐Substituted Benzimidazole and Bis Indole Methane Derivatives

ABSTRACTConcerning the objectives of green chemistry, silica‐coated magnetite nanoparticles provide a new way to implement an efficient and effective system for assisting catalyst recovery across multiple organic reactions. With Fe3O4 spheres serving as the core shell, the synthesis of sulfonic acid‐functionalized silica‐coated magnetic nanoparticles is presented in this paper. FTIR, PXRD, SEM, TEM, EDX, TGA, XPS, and VSM techniques were used to assess the prepared catalyst. The proposed nanocatalyst was employed to produce biological relevance 2‐substituted benzimidazole and bis indole methane derivatives. High yield, quick reaction time, soothing reaction conditions, extended functional group tolerance, and an accessible workup approach are the main advantages of synthesized nanoparticles. Furthermore, the present nanocatalyst may be recovered using an external magnet and retaining its effectiveness for up to six cycles. These are distinctive functions of the present approach.

Abstract PR004: Biological insights into tissue-agnostic plasma cfDNA methylation signature for surveillance of head and neck tumor recurrence

Abstract BACKGROUND: We recently described a clinical validation of a tissue-agnostic genome-wide methylome enrichment molecular residual disease (MRD) assay for head and neck cancers (HNC) (Liu, ESMO 2024). Herein, we investigate the cfDNA methylation signature utilized by this test to demonstrate the biological relevance with respect to the tissue of origin and epigenetic mechanisms of dysregulation that alter normal cellular activity. We evaluate the signature to gain insights and to characterize the biology of this biomarker and to investigate the application of cfMeDIP-seq assay as a diagnostic tool. METHODS: From unblinded training set of 163 HNC patients, including HPV+ (n = 76), HPV- (n = 43), and HPV-unknown (n = 44) individuals, a cfDNA methylation classifier signature was developed to detect recurrence (n MRD+ = 62, n MRD- = 101) in samples from blood draws approximately at 3, 12, and 24 months post curative intent treatment using cfMeDIP-seq assay. Clinical performance of the signature was then successfully validated in a blinded HNC validation cohort (n = 162), including HPV+ and HPV- patients (Liu, ESMO 2024). Here, the signature’s ability to detect ctDNA was assessed using HNC tumor tissue (n = 523), adjacent normal tissue (n = 45), and healthy peripheral blood leukocytes (n = 93) DNA methylation data from TCGA. The signature’s ability to provide biological insights was assessed by evaluating enrichment in CpG elements, epigenetic regulators, regulatory pathways, and other biological pathways. RESULTS: Identified differentially methylated regions (DMRs) were significantly hypermethylated in HNC tumor tissue samples when compared to adjacent normal and healthy peripheral blood leukocytes (P = 1.3e-131), and the mean signature signal within tumor tissue samples correlated with tumor purity (P = 2.47e-21). These DMRs were also significantly enriched in CpG islands, shores, and shelves and could classify HNC patients into identifiable molecular subtypes. Further analysis of the DMRs, based on their genomic coordinates, shows association with known cancer genes and significant enrichment in pathways known to be associated with HNC, for example, epithelial to mesenchymal transition (P = 1.76e-4), and multiple functional pathways involved in DNA and transcription factor binding, transcriptional regulation, and chromatin remodeling. CONCLUSIONS: These results, along with the previous clinical validation, provide strong evidence that the cfDNA methylation signature developed in HNC detects ctDNA shed from residual tumor and provide insights into relevant tumor biology and epigenetic mechanisms, including CpG island hypermethylation and epithelial to mesenchymal transition. Furthermore, these data support the generalization of biomarker detection utilizing cfMeDIP-seq to a broad spectrum of indications. Citation Format: Yulia Newton, Justin Burgener, Margaret Gruca, Collin Melton, Jun Min, Abel Licon, Scott Bratman, Alan Williams, Daniel D De Carvalho. Biological insights into tissue-agnostic plasma cfDNA methylation signature for surveillance of head and neck tumor recurrence [abstract]. In: Proceedings of the AACR Special Conference: Liquid Biopsy: From Discovery to Clinical Implementation; 2024 Nov 13-16; San Diego, CA. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(21_Suppl):Abstract nr PR004.

Abstract 4140151: Network Analysis of Differentially Expressed Genes after Silencing Dynamin 2 in Pulmonary Arterial Hypertension

Rationale: Pulmonary arterial hypertension (PAH) is a rare cardiopulmonary disease that can cause right heart failure and even death. In PAH, excessive mitochondrial fission is responsible for the hyperproliferation of pulmonary artery smooth muscle cells (PASMC), which is incompletely mediated by the large GTPase dynamin-related protein 1 (Drp1). We hypothesize that another GTPase, Dynamin 2 (DNM2), elevated in PASMC of PAH patients, is responsible for the final stage of mitochondrial fission. Objectives: 1. Identify the differentially expressed gene (DEG) signature in PAH PASMC after silencing DNM2 using small interfering RNA (siRNA) by means of RNA sequencing (RNA-seq); 2. Identify the biological processes or pathways associated with these DEGs. Methods: Human PAH PASMCs (n=5 cell line) were transfected with control siRNA or siRNA targeting DNM2. 3’RNA-seq was used to create libraries which we sequenced on the Illumina Nextseq550. Bioinformatic analysis revealed DEGs which we placed into context using the STRING: protein query database and visualized using Cytoscape 3.10.2. Network functional enrichment analysis was performed using STRING. Results: Inhibiting DNM2 significantly reduced mitochondrial fission and slowed PAH PASMC proliferation. RNA-seq identified 156 DEGs (80 down-regulated, 56 up-regulated). The top 5 down-regulated DEGs were DNM2 , RGCC , TICAM1 , RASSF3 , MRPL39 and the top 5 up-regulated DEGs were ITIF1 , ARL6IP1 , POLR3G , CBX1 , CMPK2 . We tested the biologic relevance of RGCC which encodes the Regulator of Cell Cycle using siRNA and showed inhibition of cell proliferation in human PAH PASMC. Network analysis identified 152 edges amongst all DEGs. The largest subnetwork contains 77 nodes and 151 edges. PXDN , which encodes Peroxidasin, a heme-containing peroxidase that is secreted into the extracellular matrix, has the highest degree of connectivity (15 connections), the highest betweenness centrality (0.266), and the highest closeness centrality (0.441). Enrichment analysis found that the p53 signaling pathway and the cytokine signaling in the immune system are the top KEGG and Reactome pathways affected by siDNM2, respectively. Conclusions: DNM2 appears to be an important regulator of the increased mitochondrial fission in PAH. Silencing DNM2 not only inhibits fission but also slows cell proliferation, apparently by reducing the expression of RGCC. Silencing DNM2 in human PAH PASMC results in the disruption of 136 genes.

Prognostic value of FDX1, the cuprotosis key gene, and its prediction models across imaging modalities and histology.

Cuprotosis has been identified as a novel way of cell death. The key regulator ferredoxin 1 (FDX1) was explored via pan-cancer analysis, and its prediction models were proposed across seven malignancies and two imaging modalities. The prognostic value of FDX1 was explored via 1654 cases of 33 types of cancer in the Cancer Genome Atlas database. The MRI cohort of hepatocellular carcinoma in the First Affiliated Hospital of Fujian Medical University, and CT and MRI images from the Cancer Imaging Archive, REMBRANDT and Duke databases were exploited to formulate radiomic models to predict FDX1 expression. After segmentation of volumes of interest and feature extraction, the recursive feature elimination algorithm was used to screen features, logistic regression was used to model features, immunohistochemistry staining with FDX1 antibody was performed to test the radiomic model. FDX1 was found to be prognostic in various types of cancer. The area under the receiver operating characteristic curve of radiomic models to predict FDX1 expression reached 0.825 (95% CI = 0.739-0.911). Cross-tissue compatibility was confirmed in pan-cancer validation and test cohorts. Mechanistically, the radiomic score was significantly correlated with various immunosuppressive genes and gene mutations. The radiomic score was also found to be an independent prognostic factor, making it a potentially actionable biomarker in the clinical setting. The expression of FDX1 could be non-invasively predicted via radiomics. The radiomic patterns with biological and clinical relevance across histology and modalities could have a broad impact on a larger population of patients.

Modelling the Repair of Carbon-Centered Protein Radicals by Phenolic Antioxidants

Oxidative stress is a biological process that has been linked to many diseases, hence understanding how to prevent and repair it is essential to medicine. The thermodynamics and kinetics of the repair reactions of radically damaged leucine (a lateral chain in a simplified protein environment) by twenty phenolic antioxidants are studied at the M06-2X(SMD)/6-31++G(d,p) level of theory in water and pentyl ethanoate. The two repair mechanisms modelled are formal-hydrogen atom transfer (f-HAT) and single electron transfer (SET). Although all f-HAT reactions are thermodynamically favourable, only one of the phenols produced rate constants in the diffusion limit, exhibiting biological relevance. SET is not suspected to be an important repair pathway for the phenols studied. We show that the Bell–Evans–Polanyi principle, which relates thermodynamics and kinetics properties for a reaction, breaks down when comparing between the solvents, protein repair sites, and the phenolic antioxidants. While thermodynamic data can be used as valuable screening tools, the kinetic calculation of rate constants in solution is crucial for enhancing the biological relevance of theoretical studies.

Relationship Between Loss of Y Chromosome and Urologic Cancers: New Future Perspectives

Background: The Y chromosome (ChrY) is essential for male sex determination and spermatogenesis. However, recent studies have revealed its broader role in various physiological processes and disease susceptibility, including cancer. Methods: A comprehensive literature review was conducted using databases like MEDLINE, Scopus, Web of Science, and Google Scholar. The review included clinical and preclinical studies in animals and humans focusing on the role of LoY in urological tumors. Data on the frequency of LoY, its clinical implications, and underlying mechanisms were extracted and analyzed. Results: The evidence suggests that LoY is associated with an increased risk of urologic neoplasms, potentially serving as an early marker of genomic instability. Studies reveal that LoY in urologic cancers correlates with worse survival outcomes and may contribute to tumor progression. LoY may interfere with chromatin structure and epigenetic regulation, suggesting its role as a contributor to early tumorigenesis. Conclusions: LoY appears to be a structural aberration with unique biological and clinical relevance in urologic cancers, possibly serving as a biomarker for genomic instability. Further research is necessary to identify specific Y-linked genes affected by LoY, potentially informing targeted therapies and early diagnostic strategies for these cancers.

Genetically proxied liability to migraine and risk of intracranial aneurysm and subarachnoid hemorrhage.

Observational studies have reported inconsistent relationships between migraine and the risk of intracranial aneurysm and subarachnoid hemorrhage (SAH). To determine whether genetic liability to migraine is associated with risk of intracranial aneurysm and aneurysmal SAH. This study was designed as a two-sample Mendelian randomization (MR) analysis. Genetic associations with migraine were obtained from a large-scale meta-analysis of five population and clinic-based genome-wide association studies of migraine (102,084 cases and 771,257 controls of European ancestry). Genetic associations with intracranial aneurysm and SAH were obtained from a meta-analysis of 22 population-based genome-wide association studies (7495 cases and 71,934 controls of European ancestry). Findings were corroborated by sensitivity analyses and replicated in an independent sample of combined cases of intracranial aneurysm and SAH (3529 cases and 234,948 controls of Asian ancestry from the Biobank Japan and China Kadoorie Biobanks). In secondary analyses, we investigated the outcomes of extracranial aneurysm in the FinnGen and UK Biobank cohorts (up to 7466 combined cases of thoracic and abdominal aortic aneurysm). Genetic liability to migraine was associated with increased risk of the combined outcome of unruptured intracranial aneurysm and SAH (odds ratio [OR] of outcome per doubling in migraine liability 1.19, 95% confidence interval [CI] 1.06-1.35; p = 0.005). This finding was replicated in an independent sample (OR 1.15, 95% CI 1.02-1.30; p = 0.027), and there were similar associations across the component outcomes of unruptured intracranial aneurysm (OR 1.20, 95% CI 1.01-1.42; p = 0.035) and SAH (OR 1.18, 95% 1.04-1.33; p = 0.008). These findings were consistent in sensitivity analyses robust to violations of the MR assumptions. In reverse MR analyses, genetic liability to intracranial aneurysm was not associated with migraine (OR 1.03, 95% CI 0.99-1.07; p = 0.141). In a secondary analysis, there were similar associations of genetic liability to migraine with all forms of aortic aneurysm (OR for combined thoracic and aortic aneurysm 1.18, 95% CI 1.10-1.27; p = 8.49 × 10-6). Genetic liability to migraine was associated with increased risk of intracranial and extracranial aneurysms, supporting a causal relationship between liability to migraine and these traits. Further work is needed to identify the biological mechanisms and clinical relevance of these findings.

N-glycosylation facilitates the activation of a plant cell-surface receptor.

Plant receptor kinases (RKs) are critical for transmembrane signalling involved in various biological processes including plant immunity. MALE DISCOVERER1-INTERACTING RECEPTOR-LIKE KINASE 2 (MIK2) is a unique RK that recognizes a family of immunomodulatory peptides called SERINE-RICH ENDOGENOUS PEPTIDEs (SCOOPs) and activates pattern-triggered immunity responses. However, the precise mechanisms underlying SCOOP recognition and activation of MIK2 remain poorly understood. Here we present the cryogenic electron microscopy structure of a ternary complex consisting of the extracellular leucine-rich repeat (LRR) of MIK2 (MIK2LRR), SCOOP12 and the extracellular LRR of the co-receptor BAK1 (BAK1LRR) at a resolution of 3.34 Å. The structure reveals that a DNHH motif in MIK2LRR plays a critical role in specifically recognizing the highly conserved SxS motif of SCOOP12. Furthermore, the structure demonstrates that N-glycans at MIK2LRRAsn410 directly interact with the N-terminal capping region of BAK1LRR. Mutation of the glycosylation site, MIK2LRRN410D, completely abolishes the SCOOP12-independent interaction between MIK2LRR and BAK1LRR and substantially impairs the assembly of the MIK2LRR-SCOOP12-BAK1LRR complex. Supporting the biological relevance of N410-glycosylation, MIK2N410D substantially compromises SCOOP12-triggered immune responses in plants. Collectively, these findings elucidate the mechanism underlying the loose specificity of SCOOP recognition by MIK2 and reveal an unprecedented mechanism by which N-glycosylation modification of LRR-RK promotes receptor activation.

Targeting RAF1 gene fusions with MEK inhibition in metastatic melanoma

Abstract The biological and clinical relevance of gene fusions in melanoma is unknown. Reports and preclinical data have suggested that tumor cells with specific rearrangements such as RAF1 gene fusions could be therapeutically targeted. To investigate the relevance of targeted therapy in patients with melanoma harboring RAF1 gene fusions, we reviewed records of 1268 melanoma patients with targeted sequencing data at the Dana-Farber Cancer Institute. We identified 9 cases and report here on their clinicopathologic characteristics. We describe the favorable outcome of 2 patients who received MEK inhibitor therapy, including 1 patient with a durable response. We coalesced our data with published reports of patients with RAF1 gene fusions who were treated with targeted therapy. We find that single-agent MEK inhibition has anti-tumor activity in melanoma patients harboring an RAF1 gene fusion, and we propose that patients with RAF1 gene fusions should be considered for single-agent MEK inhibitor therapy.

Potential of ex vivo organotypic slice cultures in neuro-oncology.

Over recent decades, in vitro and in vivo models have significantly advanced brain cancer research; however, each presents distinct challenges for accurately mimicking in situ conditions. In response, organotypic slice cultures have emerged as a promising model recapitulating precisely specific in vivo phenotypes through an ex vivo approach. Ex vivo organotypic brain slice models can integrate biological relevance and patient-specific variability early in drug discovery, thereby aiming for more precise treatment stratification. However, the challenges of obtaining representative fresh brain tissue, ensuring reproducibility, and maintaining essential central nervous system (CNS)-specific conditions reflecting the in situ situation over time have limited the direct application of ex vivo organotypic slice cultures in robust clinical trials. In this review, we explore the benefits and possible limitations of ex vivo organotypic brain slice cultures in neuro-oncological research. Additionally, we share insights from clinical experts in neuro-oncology on how to overcome these current limitations and improve the practical application of organotypic brain slice cultures beyond academic research.

Multimodal AI/ML for discovering novel biomarkers and predicting disease using multi-omics profiles of patients with cardiovascular diseases

Cardiovascular diseases (CVDs) are complex, multifactorial conditions that require personalized assessment and treatment. Advancements in multi-omics technologies, namely RNA sequencing and whole-genome sequencing, have provided translational researchers with a comprehensive view of the human genome. The efficient synthesis and analysis of this data through integrated approach that characterizes genetic variants alongside expression patterns linked to emerging phenotypes, can reveal novel biomarkers and enable the segmentation of patient populations based on personalized risk factors. In this study, we present a cutting-edge methodology rooted in the integration of traditional bioinformatics, classical statistics, and multimodal machine learning techniques. Our approach has the potential to uncover the intricate mechanisms underlying CVD, enabling patient-specific risk and response profiling. We sourced transcriptomic expression data and single nucleotide polymorphisms (SNPs) from both CVD patients and healthy controls. By integrating these multi-omics datasets with clinical demographic information, we generated patient-specific profiles. Utilizing a robust feature selection approach, we identified a signature of 27 transcriptomic features and SNPs that are effective predictors of CVD. Differential expression analysis, combined with minimum redundancy maximum relevance feature selection, highlighted biomarkers that explain the disease phenotype. This approach prioritizes both biological relevance and efficiency in machine learning. We employed Combination Annotation Dependent Depletion scores and allele frequencies to identify variants with pathogenic characteristics in CVD patients. Classification models trained on this signature demonstrated high-accuracy predictions for CVD. The best performing of these models was an XGBoost classifier optimized via Bayesian hyperparameter tuning, which was able to correctly classify all patients in our test dataset. Using SHapley Additive exPlanations, we created risk assessments for patients, offering further contextualization of these predictions in a clinical setting. Across the cohort, RPL36AP37 and HBA1 were scored as the most important biomarkers for predicting CVDs. A comprehensive literature review revealed that a substantial portion of the diagnostic biomarkers identified have previously been associated with CVD. The framework we propose in this study is unbiased and generalizable to other diseases and disorders.

Survival of intact bovine whey proteins across in vivo and simulated static in vitro models of the adult gastrointestinal tract

Bovine whey contains bioactive proteins that could benefit consumer health, but their intact bioactivity depends on their ability to survive the digestive process and remain intact to their sites of action. Our study assessed whey protein degradation in the adult human jejunum after whey protein isolate ingestion and during static in vitro gastric and intestinal digestions, using LC-MS/MS-based proteomics and SDS-PAGE. We found that 53 % of the protein counts identified in the gastric digesta, including β-lactoglobulin and lactoferrin were stable under simulated gastric conditions. However, most proteins were degraded during both in vitro and in vivo intestinal digestion. The intact protein survival profiles were closely aligned between in vitro and in vivo digestion samples. Understanding the survival of specific whey proteins during digestion will help determine their biological relevancy in their intact forms within the gastrointestinal tract and may inspire strategies to enhance their stability for specific functions.

Revealing Missing Protein–Ligand Interactions Using AlphaFold Predictions

Protein–ligand interactions represent an essential step to understand the bases of molecular recognition, an intense field of research in many scientific areas. Structural biology has played a central role in unveiling protein–ligand interactions, but current techniques are still not able to reliably describe the interactions of ligands with highly flexible regions. In this work, we explored the capacity of AlphaFold2 (AF2) to estimate the presence of interactions between ligands and residues belonging to disordered regions. As these interactions are missing in the crystallographic-derived structures, we called them “ghost interactions”. Using a set of protein structures experimentally obtained after AF2 was trained, we found that the obtained models are good predictors of regions associated with order–disorder transitions. Additionally, we found that AF2 predicts residues making ghost interactions with ligands, which are mostly buried and show differential evolutionary conservation with the rest of the residues located in the flexible region. Our findings could fuel current areas of research that consider, given their biological relevance and their involvement in diseases, intrinsically disordered proteins as potentially valuable targets for drug development.

Neuro-Immune Communication at the Core of Craving-Associated Brain Structural Network Reconfiguration in Methamphetamine Users

Methamphetamine (MA) use disorder is a chronic neurotoxic brain disease characterized by a high risk of relapse driven by intense cravings. However, the neurobiological signatures of cravings remain unclear, limiting the effectiveness of various treatment methods. Diffusion MRI (dMRI) scans from 62 MA users and 57 healthy controls (HC) were used in this study. The MA users were longitudinally followed up during their period of long-term abstinence (duration of long-term abstinence: 347.52±99.25 days). We systematically quantified the control ability of each brain region for craving-associated state transitions using network control theory from a causal perspective. Craving-associated structural alterations (CSA) were investigated through multivariate group comparisons and biological relevance analysis. The neural mechanisms underlying CSA were elucidated using transcriptomic and neurochemical analyses. We observed that long-term abstinence-induced structural alterations significantly influenced the state transition energy involved in the cognitive control response to external information, which correlated with changes in craving scores (r ∼ 0.35, P <0.01). Our causal network analysis further supported the crucial role of the prefrontal cortex (PFC) in craving mechanisms. Notably, while the PFC is central to the craving, the CSAs were distributed widely across multiple brain regions (PFDR<0.05), with strong alterations in somatomotor regions (PFDR<0.05) and moderate alterations in high-level association networks (PFDR<0.05). Additionally, transcriptomic, chemical compounds, cell-type analyses, and molecular imaging collectively highlight the influence of neuro-immune communication on human craving modulation. Our results offer an integrative, multi-scale perspective on unraveling the neural underpinnings of craving and suggest that neuro-immune signaling may be a promising target for future human addiction therapeutics.

PHYSICOCHEMICAL AND SPECTROSCOPIC ANALYSIS OF INTERACTIONS BETWEEN ASPIRIN AND NORMAL SALINE AT DIFFERENT TEMPERATURES

The primary goal of the current investigation is to explore the molecular interactions between the aspirin (2-Acetoxybenzoic acid) and normal saline (0.9% w/v aqueous NaCl) at various concentrations (0.001–0.010) m and temperature (T= 300.15–315.15) K. To understand the various possible molecular interactions, volumetric, acoustic, conductometric and viscometric parameters were evaluated using experimental measured values of densities (ρ), ultrasonic velocities (u), specific conductance (κ), and viscosities (η). The results derived from these parameters have been examined in terms of drug–solvent and drug-drug interactions. The results of physicochemical studies indicate that aspirin exhibits strong interactional and structure–forming behaviour in normal saline. These results were well supported by UV-visible spectral studies which indicate the existence of intense aspirin–normal saline interactions in the form of modification in absorption maximum and absorption wavelength. The cyclic voltammetric studies were also performed to explore the oxidation/reduction behaviour and effect of aspirin on hemolysis. The experimental analysis of these studies provides valuable insights for better drug design, drug delivery, compatibility, potential safety, and biological relevance for the pharmaceutical and health industries.

MicroRNAs in Congenital Diaphragmatic Hernia: Insights into Prenatal and Perinatal Biomarkers and Altered Molecular Pathways: microRNAs in Congenital Diaphragmatic Hernia for Pathway Analysis and Prognostic Biomarkers

Congenital diaphragmatic hernia (CDH) is characterized by a diaphragmatic defect, leading to herniation of abdominal organs into the chest, lung compression, and impaired lung development, often resulting in pulmonary hypertension and lung hypoplasia. Prenatal imaging techniques like ultrasound and MRI provide anatomical predictors of outcomes, but their limitations necessitate novel biomarkers for better prognostic accuracy. This study aims to identify unique circulating maternal, fetal, and neonatal microRNAs (miRNAs) that can distinguish CDH pregnancies from healthy controls and assess their potential as markers of disease severity. We conducted a prospective study involving third-trimester maternal blood, amniotic fluid, cord blood, and neonatal blood samples from pregnancies complicated by CDH and healthy controls. miRNA expression was analyzed using RNA-sequencing, and random forest analysis identified miRNAs distinguishing CDH survivors from non-survivors. Pathway enrichment analyses were performed to explore the biological relevance of differentially expressed miRNAs. Significant miRNA expression differences were observed between CDH and control samples across all sample types. In infant blood, 148 miRNAs were up-regulated, and 36 were down-regulated in CDH cases. Pathway analysis revealed that dysregulated miRNAs in CDH targeted pathways related to protein binding, transcription regulation, and signaling pathways implicated in pulmonary hypertension and lung hypoplasia. Random forest analysis identified miRNAs in maternal blood (miR-7850-5p_L-1R+2, miR-942-3p, and miR-197-3p) that distinguished CDH survivors from non-survivors, with an ROC area under the curve of 1.0. Circulating miRNAs in maternal blood offer promising biomarkers for predicting CDH outcomes. miRNAs from infant blood provide mechanistic insights and potential targets for therapeutic intervention in critical pathways of pulmonary hypertension and lung hypoplasia. Further studies with larger cohorts are needed to validate these findings and explore the clinical application of miRNA biomarkers in CDH management.

Orchestrating ROS regulation: coordinated post-translational modification switches in NADPH oxidases.

Reactive oxygen species (ROS) are among the most important signaling molecules, playing a significant role in plant growth, development, and responses to various environmental stresses. Respiratory burst oxidase homologs (RBOHs) are key enzymes in ROS production. Plants tightly regulate the activation and deactivation of RBOHs through various post-translational modifications (PTMs), including phosphorylation, ubiquitination, S-nitrosylation, and persulfidation. These PTMs fine-tune ROS production, ensuring normal plant growth and development while facilitating rapid responses to abiotic and biotic stresses. This review discusses the effects of different PTMs on RBOH function and their biological relevance. Additionally, we examine the evolutionary conservation of PTM sites and emphasize the complex interplay between multiple PTMs regulating RBOHs.

Microvascular blood flow disturbances predict poor outcome of revascularization in CLTI patients

Abstract Background We have recently established hypoxic microvascular remodelling as a critical pathomechanistic factor that limits oxygen diffusion to muscle in chronic limb threatening ischaemia (CLTI). Using animal models of experimental hind limb ischaemia we have also displayed the biological relevance of post-ischaemic microvascular remodelling in skeletal muscle. Our results indicate that differential microvascular changes associate to muscle damage and repair. The natural microvascular dynamics that inherently promote muscle recovery are defected in CLTI patients. Particularly, a progressive arterialization of capillaries in CLTI muscle differentiates the dynamics of the microvasculature from initially assisting muscle regeneration to aggravating ischaemic damage. Methods To establish the clinical relevance of the post-ischaemic microvascular changes in CLTI, we now have studied the effect of microvascular remodelling on the outcome of CLTI patients undergoing surgical or endovascular revascularization. Contrast enhanced ultrasound was used preoperatively to determine the microvascular status of CLTI patients (n=36) scheduled for immediate revascularization. Outcome events such as: hospitalization; reoperation; leg amputation; or death, were postoperatively followed from medical records up to 6 months after revascularization. Patients were grouped according to muscle capillary transit time (Tct) being either similar (n=18) or shorter (n=18) to that in the contralateral legs of the patients, and treatment outcomes were compared between groups. Results The results display consistent increases in postoperative event rates in all measured outcomes in the ShortTct group as compared to controls (at 1 month 8 vs. 2 events (rate ratio 4.00 (95%CI: 0.85-18.84, p=0.080)); at 3 months 13 vs. 4 events (rate ratio 3.25 (95%CI: 1.06-9.97, p=0.039)); at 6 months 17 vs. 9 events (rate ratio 1.89 (95%CI: 0.84-4.24, p=0.123))). For example, 5 vs. 0; 7 vs. 1; and 7 vs. 4 reoperations were detected in the ShortTct group as compared to controls at 1, 3 and 6 months, respectively. By 6 months after initial revascularization also 2 deaths were recorded in the ShortTct group as compared to no deaths in the controls. Conclusions Despite still small samples size in this study, these results suggest that microvascular blood flow disturbances, such as short preoperative muscle capillary transit time, can predict poor outcome of CLTI patients after revascularization. Importantly, the results also identify patients with microvascular blood flow disturbances a subgroup of CLTI patients that should likely receive more specialized care to improve outcomes. The results also call for immediate actions from the scientific community to improve clinical detection of microvascular alterations and to develop strategies to normalize microvascular function in CLTI patients.