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At least 19 recordsLinked to original sources

Clinical relevance of HRD score in pheochromocytomas and paragangliomas: molecular cluster distribution and prognostic implications.

Pheochromocytomas and paragangliomas (PPGLs) are rare neuroendocrine tumors with variable metastatic potential across molecular clusters. While the homologous recombination deficiency (HRD) score has been established as a surrogate for HRD-related genomic instability to guide prognostic evaluation and therapeutic options in multiple solid tumors, its relevance in PPGLs remains unexplored. Here, data from 133 PPGL patients in the TCGA database were extracted to assess relationships between the HRD score and molecular clusters, metastasis, metastasis-free survival (MFS), and other clinical characteristics. Subsequently, a real-world cohort of 54 matched blood-tumor pairs was subjected to whole-exome sequencing, with HRD scores calculated to confirm the prior observations. The median HRD score was 7.0 and 9.0 in the TCGA-PPGL dataset and the clinical cohort, respectively. In the TCGA dataset, an elevated HRD score significantly correlated with metanephrine secretion, C2 cluster, and metastasis. Multivariate analysis identified a higher HRD score as an independent risk factor for shorter MFS (HR = 1.33, P = 0.008). Patients with HRD scores ≥ 7 exhibited significantly shorter MFS (P = 0.037), which was observed exclusively within the C1A cluster (P = 0.007). Analyses of our clinical validation cohort corroborated this cluster-specific distribution and further revealed higher HRD scores in three temozolomide-treated PPGLs compared with those treatment-naive C1A tumors (P = 0.043). In conclusion, despite exhibiting lower levels in C1A clusters, an elevated HRD score emerges as a promising indicator for refined metastatic risk stratification in PPGLs. Futhermore, the substantial increase in HRD score following temozolomide treatment provides a rationale for PARP inhibitor sequential or combination therapy in metastatic PPGLs.

Humans

Molecular clusters and precision medicine in pheochromocytomas and paragangliomas.

Pheochromocytomas and paragangliomas (PPGLs) are rare neuroendocrine tumors derived from chromaffin cells of the adrenal medulla and extra-adrenal paraganglia. Over the past two decades, the genomic characterization of PPGLs has profoundly transformed their diagnosis, classification, risk stratification, and therapeutic management. Up to 40% of PPGLs harbor germline pathogenic variants, the highest proportion among human neoplasms, and somatic driver events are identified in a substantial fraction of the remaining cases. Integrative multi-omic studies have established three main molecular clusters: a pseudohypoxic cluster driven by Krebs-cycle alterations (SDHx, FH, MDH2, DLST) and HIF-2α pathway alterations (VHL, EPAS1, EGLN1/2); a kinase-signaling cluster driven by activation of RAS/MAPK and PI3K/AKT pathways (RET, NF1, HRAS, TMEM127, MAX); and a Wnt-signaling cluster characterized primarily by MAML3 fusions. This review summarizes progress in PPGL genomics, highlighting geographic and sex-related particularities. Using EPAS1/HIF-2α and RET as paradigmatic examples, we illustrate how diverse germline, somatic, mosaic, and fusion events converge on common core signaling hubs that can be therapeutically exploited with FDA-approved selective inhibitors for relevant targets (e.g. belzutifan for HIF-2α; selpercatinib and pralsetinib for RET). We further review the genomic determinants of metastatic risk (SDHB, ATRX, TERT, and MAML3 fusions), the immune microenvironment of metastatic disease, and emerging radionuclide theranostics, liquid biopsy biomarkers, and integrative multi-omic approaches that are reshaping precision medicine for PPGLs.

Humans

Properties of the liquid crystals of some biopolymers.

Nematic liquid-crystalline solutions of polypeptides such as PBLG and PELG orient in the direction of a very low static electric field as if the polypeptide molecules were a collection of rod-like molecular clusters having a huge, permanent electric dipole moment. This dipole moment originates from fluctuation of the distribution of polymer helices in both directions of the rod-like molecular cluster with roughly equal likelihood. The molecular cluster of PBLG is estimated to be composed of some 5 x 10(5) molecules and has dimensions of a few to several micrometers x 0.1 microns phi in methylene bromide when the degree of polymerization (mean) is 650. The nematic solutions also orient in the direction of a static magnetic field. The peptide groups of the polypeptide form planes which are parallel to the polymer helix and the magnetic-field orientation is due to the demagnetizing field produced in the peptide groups perpendicular to their planes by the ring current of the pi electrons. The formation of rod-like molecular clusters is absolutely necessary to invite the magnetic-field orientation as in the electric-field orientation. The anisotropy of the magnetic susceptibility has been estimated to be on the order of 10(-8) emu/g, and the twist elastic constant of the cholesteric structure on the order of 10(-7) dyn/cm. Derivatives of PBLG with long alkyl chains as pendant groups assume thermotropic liquid crystals, in which melted alkyl chains behave as a solvent in a similar manner as in lyotropic liquid crystals of the parent PBLG. An analogy of thermotropic liquid crystals of the modified polypeptides with those of discotic liquid crystals in the columnar phase has been suggested. Concentrated solutions of a double-stranded helix of poly(A).poly(U) and a triple-stranded helix of poly(A).2poly(U) form liquid crystals both of the nematic and the cholesteric types. The nematic solutions of these polyribonucleotide complexes orient perpendicular to the direction of a static magnetic field owing to the diamagnetic dipole moments induced in the purine or pyrimidine bases of the polyribonucleotides perpendicular to their planes, which are roughly perpendicular to the polymer helices. Any rod-like polymer has a good chance to form liquid crystals in which the occurrence of forces acting among the molecules is not necessary. The PLGA-Na in a neutral aqueous solution undergoes a "coil-to-alpha helix transition" when the polymer concentration is increased.(ABSTRACT TRUNCATED AT 400 WORDS)

Biopolymers

Evaluation of positive and negative ion fast atom bombardment mass spectrometry for structural investigations on cardenolide-type cardiac glycosides.

Evaluation of positive and negative ion fast atom bombardment (FAB) mass spectrometry for structural investigations have been studied on 30 cardiac glycosides in comparison with their field desorption (FD) mass spectra. FD mass spectra showed the prominent molecular cluster ions and the same protonation induced fragments as that established for steroid oligoglycosides. Even if the molecular cluster ions of some di- and triglycosides were hardly detected in the positive ion FAB mass spectra owing to their low intensities, a dramatic improvement was observed when sodium chloride or potassium iodide was added to the glycerol matrix. Furthermore, the prominent molecular ion species, [M-H]-, and the sequence of glycosidic linkage were easily detected in the negative mode. The combination of positive and negative ion FAB mass spectrometry of the cardenolide-type cardiac glycosides provides useful information concerning the molecular weight as well as the structures of both aglycone and sugar moieties.

Cardenolides

Fuzzy cluster analysis of molecular dynamics trajectories.

We propose fuzzy clustering as a method to analyze molecular dynamics (MD) trajectories, especially of proteins and polypeptides. A fuzzy cluster analysis locates classes of similar three-dimensional conformations explored during a molecular dynamics simulation. The method can be readily applied to results from both equilibrium and nonequilibrium simulations, with clustering on either global or local structural parameters. The potential of this technique is illustrated by results from fuzzy cluster analyses of trajectories from MD simulations of various fragments of human parathyroid hormone (PTH). For large molecules, it is more efficient to analyze the clustering of root-mean-square distances between conformations comprising the trajectory. We found that the results of the clustering analysis were unambiguous, in terms of the optimal number of clusters of conformations, for the majority of the trajectories examined. The conformation closest to the cluster center can be chosen as being representative of the class of structures making up the cluster, and can be further analyzed, for example, in terms of its secondary structure. The CPU time used by the cluster analysis was negligible compared to the MD simulation time.

Amino Acid Sequence

AI-Driven Multi-Omics Integration of Synthetic Colon Adenocarcinoma for Cluster-Guided PROTAC Candidate Design Targeting KRASG12D.

Colorectal cancer is a leading cause of cancer death, yet its molecular heterogeneity remains poorly translated into individualized treatment. We present a reproducible artificial intelligence (AI) framework that integrates multi-omics benchmarking, sample-level drug prioritization, E3 ubiquitin ligase selection, and shape-anchored Proteolysis Targeting Chimera (PROTAC) design for KRASG12D in colon adenocarcinoma (COAD). A controlled synthetic benchmark comprising 425 tumor and 41 simulated normal profiles, parameterized to match The Cancer Genome Atlas (TCGA) distributions, was used for pipeline verification. Among sixteen methods, the Balanced Latent Integration with Stability Selection (BLISS) model achieved the highest silhouette width (0.86) and competitive agreement (Adjusted Rand Index, ARI, 0.90). The pipeline was validated on real data: a TCGA COAD cohort (186 tumors) with independent Consensus Molecular Subtype (CMS) labels and a CPTAC cohort (104 tumors). Integration modestly recovered CMS (ARI 0.28), and stage, not molecular cluster, drove survival (log-rank p = 0.005 versus 0.81). Sample-level prioritization differed from cluster-level ranking in 82.6% of profiles, below chance (p < 0.0001), without indicating efficacy. Candidate NOVEL00489 showed a good MM-GBSA estimate, matching the reference ASP3082. Compounds are computational candidates requiring experimental validation. This establishes a transparent benchmark for in silico degrader generation in precision oncology.

Humans

Convergent IGF2 overexpression in pheochromocytoma/paraganglioma: insights from Beckwith-Wiedemann syndrome.

Beckwith-Wiedemann syndrome (BWS) is an imprinting disorder characterized by overgrowth and tumor predisposition, caused by dysregulated expression of genes on chromosome 11p15.5. An association between BWS and pheochromocytoma/paraganglioma (PPGL) has been suggested in isolated case reports over the past fifty years, but the molecular basis for this link remains unclear. We identified four patients with BWS who developed metastatic PPGL and investigated IGF2 pathway activation in these tumors and in PPGL across various genotypes. Pan-cancer transcriptomic analysis of The Cancer Genome Atlas (TCGA) demonstrated that PPGL overexpresses IGF2, with pseudohypoxic tumors exhibiting higher expression compared to other molecular clusters. Loss of heterozygosity and loss of imprinting at 11p15.5 partially explain this overexpression, with PPGL additionally demonstrating globally elevated expression of imprinted genes compared to most other tumor types, suggesting a broader relaxation of genomic imprinting. Cognate receptor profiling revealed that PPGLs are equipped to respond to IGF2 signaling, with high expression of IGF1R and insulin receptor isoform A (IR-A). Immunohistochemistry confirmed IGF2 protein overexpression in both BWS-associated and genotypically diverse sporadic PPGLs. Our results indicate that IGF2 overexpression is a convergent molecular feature of PPGL across genotypes and suggest the IGF2 pathway as a potential diagnostic and therapeutic target.

Humans

Analysis of end-stage renal disease mediated by cuproptosis-related genes.

OBJECTIVE: The complex pathophysiological mechanism of end-stage renal disease (ESRD) has not been fully understood. Cuproptosis is a newly discovered type of programmed cell death. Therefore, this study attempts to clarify the relationship between cuproptosis-related genes (CRGs) and the phenotype of ESRD. MATERIALS AND METHODS: The National Center for Biological Information Gene Expression Omnibus database was applied to obtain the GSE37171 dataset comprising whole-genome microarray analysis of peripheral blood samples. A 3&#xa0;:&#xa0;1 case-control design was employed with 75 ESRD patients and 20 healthy controls who were frequency-matched for age, sex, and ethnicity. Based on differentially expressed genes (DEGs) and genes related to cuproptosis, CRGs were identified. Thereafter, we explored two different subpopulations based on the cuproptosis gene and analyzed their expression and immune infiltration. Genes specific to the CRG cluster were identified through the weighted gene co-expression network analysis algorithm, and the best prediction model was determined and verified by four machine learning methods. RESULTS: The study identified 14 differentially expressed CRGs, among which ATP7B, SLC31A1, LIAS, LIPT1, DLD, MTF1, CDKN2A, DBT, and DLST had relatively high expression levels in the ESRD samples. Compared with the control group, expression levels of FDX1, DLAT, PDHA1, PDHB, and GLS were significantly lower in the ESRD group, and CRGs played a key role in the regulation of immune infiltration in ESRD. Two cuproptosis-related molecular clusters were identified in the ESRD samples. Cluster2 was more correlated with the immune infiltration of ESRD. By analyzing the intersection points between CRG cluster and key genes of ESRD, a total of 888 specific DEGs were identified. Functional differences related to specific DEGs were further explored using gene set variation analysis. Five significant genes (SMC5, USP47, USP53, AGA, and DMXL1) were identified by the support vector machine model as key predictors for ESRD disease risk, achieving an area under the curve (AUC) of 1.00 in internal validation. However, external validation in independent cohorts is required prior to clinical application. Individual gene analysis showed an AUC >&#xa0;0.81 in discriminating ESRD patients from healthy controls, and the expression of all 5 genes in ESRD patients was significantly lower than in the control group. CONCLUSION: This study clarified the relationship between CRGs and the phenotype of ESRD, analyzed their specific roles in the immune microenvironment, and obtained a predictive model, providing new insights for the study of its potential therapeutic targets.

Humans

Effect of calcium on the calf lens cytoplasm.

Opacification was induced in calf lens cytoplasmic extracts by addition of calcium. The sample turbidity was shown to increase with calcium molarity, incubation time and temperature and to decrease with the protein cytoplasmic concentration. Although this turbidity was enhanced when membrane fragments were left over in the cytoplasmic extracts, it did show up in the absence of any detectable vesicular fragment. Scattering techniques (X-ray and light) showed that the calcium-induced opacification is linked to enhanced light scattering, which results from the formation of additional scatterers, a few tens of nm in diameter. Additional structures were indeed visualized by freeze-fracture electron microscopy (FFEM): they appear as molecular clusters with diameters ranging from 20 to 90 nm, made of densely packed particles, with heterogeneous sizes. The turbidity expected from these clusters, as well as the expected variation of turbidity with cytoplasmic concentration, was calculated to be in agreement with the measurements. When compared with cold cataract, these results illustrate that similar opacities may result from completely different biophysical mechanisms.

Animals

Lateral diffusion of CD4 on the surface of a human neoplastic T-cell line probed with a fluorescent derivative of the envelope glycoprotein (gp120) of human immunodeficiency virus type 1 (HIV-1).

The envelope glycoprotein (gp120) of HIV-1 was labeled with fluorescein by using 6-[4,6-dichlorotriazinyl]aminofluorescein. The labeled glycoprotein was found to bind to CD4-positive CEM cells. Monoclonal antibody OKT4a but not OKT4 blocked this binding. Similar specific binding of fluorescein-labeled gp120 with CD4 was observed in a solid-phase ELISA where sCD4 was attached to a polystyrene plate. The syncytium formation induced by HIV-1-infected cells on CEM cells was significantly inhibited in the presence of fluorescein-labeled gp120. Fluorescence photobleaching recovery measurements showed that the diffusion coefficient (D) of CD4 molecules complexed with fluorescein-labeled gp120 was approximately 5 x 10(-10) cm2sec-1, with nearly 61% of the receptor molecules being mobile. Binding of anti-gp120 monoclonal antibody to the CD4-gp120 complex reduced the mobile fraction significantly. Diffusion of CD4 labeled with OKT4 IgG was markedly inhibited with reductions in both D and the mobile fraction, but such inhibition was not observed with OKT4 Fab. It appears that crosslinking of multiple molecules of CD4 by OKT4 antibody is required to reduce CD4 mobility. This suggests that the receptor might be present on the membrane plane as molecular clusters containing at least two molecules of CD4.

Antibodies, Monoclonal

A continuous sampler with background suppression for monitoring alpha-emitting aerosol particles.

A continuous air monitor has been developed that includes provisions for improving the detection of alpha-emitting aerosol particles in the presence of radon/thoron progeny that are unattached to ambient aerosol particles. Wind tunnel tests show that 80% of 10-microns aerodynamic equivalent diameter particles penetrate the flow system from the ambient air to the collection filter when the flow rate is 57 L min-1 (2 cfm) and the wind speed is 1 m s-1. Uniformity of aerosol collection on the filter, as characterized by the coefficient of variation of the areal density deposits, is less than 15% for 10-microns aerodynamic-equivalent-diameter aerosol particles. Tests with unattached radon daughters in a flow-through chamber showed that approximately 99% of the 218Po was removed by an inlet screen that is designed to collect radon daughters that are in the size range of molecular clusters. The inlet screen offers the opportunity to improve the signal-to-noise ratio of energy spectra in the regions of interest (subranges of the energy spectrum) of transuranic elements and thereby enhance the performance of background compensation algorithms.

Aerosols

A machine learning model and identification of immune infiltration for chronic obstructive pulmonary disease based on disulfidptosis-related genes.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a chronic and progressive lung disease. Disulfidptosis-related genes (DRGs) may be involved in the pathogenesis of COPD. From the perspective of predictive, preventive, and personalized medicine (PPPM), clarifying the role of disulfidptosis in the development of COPD could provide a opportunity for primary prediction, targeted prevention, and personalized treatment of the disease. METHODS: We analyzed the expression profiles of DRGs and immune cell infiltration in COPD patients by using the GSE38974 dataset. According to the DRGs, molecular clusters and related immune cell infiltration levels were explored in individuals with COPD. Next, co-expression modules and cluster-specific differentially expressed genes were identified by the Weighted Gene Co-expression Network Analysis (WGCNA). Comparing the performance of the random forest (RF), support vector machine (SVM), generalized linear model (GLM), and eXtreme Gradient Boosting (XGB), we constructed the ptimal machine learning model. RESULTS: DE-DRGs, differential immune cells and two clusters were identified. Notable difference in DRGs, immune cell populations, biological processes, and pathway behaviors were noted among the two clusters. Besides, significant differences in DRGs, immune cells, biological functions, and pathway activities were observed between the two clusters.A nomogram was created to aid in the practical application of clinical procedures. The SVM model achieved the best results in differentiating COPD patients across various clusters. Following that, we identified the top five genes as predictor genes via SVM model. These five genes related to the model were strongly linked to traits of the individuals with COPD. CONCLUSION: Our study demonstrated the relationship between disulfidptosis and COPD and established an optimal machine-learning model to evaluate the subtypes and traits of COPD. DRGs serve as a target for future predictive diagnostics, targeted prevention, and individualized therapy in COPD, facilitating the transition from reactive medical services to PPPM in the management of the disease.

Pulmonary Disease, Chronic Obstructive

Protein Profiling Identifies Biomarkers for Predicting Disease Severity in Anti-NMDAR Encephalitis.

Anti-N-methyl-D-aspartate receptor (NMDAR) encephalitis is a severe autoimmune neurological disorder characterized by pathogenic antibodies against the NMDAR. A systematic protein profiling approach is warranted to identify biomarkers capable of predicting disease status. An Olink proximity extension assay (PEA) profiled 91 inflammation-related proteins from anti-NMDAR encephalitis patients. Disease severity or prognosis were assessed by CASE score or mRS score at 6-month follow-up. Patients were stratified into distinct molecular clusters using unsupervised clustering. Logistic regression models incorporating selected biomarkers were developed to predict disease severity and prognosis, followed by absolute quantification using ELISA. Patients were classified into four consensus clusters. Clusters 1 and 2 corresponded to the mild group, while Cluster 3 represented the severe group, consistent with CASE score above 6. Cluster 4 showed heterogeneous clinical features. Elevated serum levels of IL-10, IL-6, and SIRT2, as well as increased CSF levels of CXCL10, CXCL11, and MMP10, were positively associated with severe disease. Conversely, several proteins including LTA and CCL11, CCL8, TGFB1, CXCL6 were associated with severe disease or unfavorable 6-month outcomes. A logistic regression model combining serum CXCL6 and CCL11 with CSF MMP10 achieved an area under the curve (AUC) of 0.95 for predicting disease severity. Serum CCL11 alone showed predictive value for 6-month prognosis, with an AUC of 0.79. These findings delineate distinct protein signatures associated with clinical heterogeneity of anti-NMDAR encephalitis. Prediction models incorporating multiple biomarkers may provide an approach for disease severity stratification and prognosis forecast.

Humans

[Deuteration of dimethyl 4,4'-dimethoxy-5,6,5',6'-dimethylenedioxybiphenyl-2,2'-dicarboxylate (BDD): a remedy for chronic hepatitis].

A new antihepatitic drug, BDD (I), which is very active and powerful especially in lowering elevated SGPT levels, has been previously discovered during the systematic study of Schisandra chinensis. In order to study the metabolism of this new antihepatic drug, deuterated BDD was prepared according to the following method. BDD lg, sodium chloroplatinate 193 mg, deuterium oxide 16ml, acetic anhydride 30ml, and acetyl chloride 0.4 ml were well mixed in a sealed ampoule and heated to 120-130 degrees C for 12h. The mixture was then poured into water. The precipitate (0.86g) contained the deuterated acid (IIa, IIb) of BDD. After esterification with methanol, a mixture (m.p. 150-153 degrees C) of mono- and di-deuterated BDD was obtained. Molecular clustering, as determined by GC/MS, showed that the product consisted of mono-deutero-BDD (IIIa) (m/e419) and dideutero-BDD (IIIb) (m/e420) in the ratio of 1:1.3.

Deuterium

Amphiphile orientation: physical chemistry and biological function.

The critical role that amphiphiles play in biology is to provide an orienting force, probably the single most important force for structural organization in living matter. It is responsible for the organization of biological lipids into the membranes that define a living cell and prevent mixing of intracellular contents with the inanimate outside world. The same force, much reduced in magnitude, is responsible for the folding of protein polypeptide chains to specific three-dimensional structures, thereby creating the multitude of enzymes of the living cell, and the proteins that traverse the cell membrane for communication between inside and outside. Study of these phenomena has a long and fascinating history, but many important questions--all at the interface between biological and physical chemistry--remain unanswered. What is the mechanism of vesiculation of phospholipid bilayers? What is the functional role of cholesterol in cell membranes? Knowing that molecular clusters are important elements in the structure of liquid water, how do we explain the smooth extrapolation of thermodynamic data from very large to very small hydrophobic interfacial areas?

Cell Membrane

Evidence for radical anion formation during liquid secondary ion mass spectrometry analysis of oligonucleotides and synthetic oligomeric analogues: a deconvolution algorithm for molecular ion region clusters.

It is shown that one-electron reduction is a common process that occurs in negative ion liquid secondary ion mass spectrometry (LSIMS) of oligonucleotides and synthetic oligonucleosides and that this process is in competition with proton loss. Deconvolution of the molecular anion cluster reveals contributions from (M-2H).-, (M-H)-, M.-, and (M + H)-. A model based on these ionic species gives excellent agreement with the experimental data. A correlation between the concentration of species arising via one-electron reduction [M.- and (M + H)-] and the electron affinity of the matrix has been demonstrated. The relative intensity of M.- is mass-dependent; this is rationalized on the basis of base-stacking. Base sequence ion formation is theorized to arise from M.- radical anion among other possible pathways.

Algorithms

Philadelphia-negative chronic myelogenous leukemia with breakpoint cluster region rearrangement: molecular analysis, clinical characteristics, and response to therapy.

We have detected rearrangement in the breakpoint cluster region (bcr) on chromosome 22 in cells derived from seven chronic myelogenous leukemia (CML) patients who had no cytogenetic evidence of a chromosome abnormality. These Philadelphia (Ph)-negative, bcr rearrangement-positive CML patients had clinical features and laboratory parameters that bore a strong resemblance to those of Ph-positive CML; all patients have shown a favorable response to hydroxyurea, busulphan, or alpha interferon (IFN-alpha) therapy. In one patient, because of the deletion of distal 3' sequences, detection of bcr rearrangement required a large probe that recognized proximal 5' sequences. Cells obtained from five patients were studied by Northern blotting and showed an aberrant 8 kilobase (kb) mRNA indistinguishable from the bcr-abl transcript that is felt to be a pathogenetic factor in Ph-positive CML. In three patients with a normal karyotype, bcr rearrangement was detected at the time of hematologic remission, and represented the only evidence for persistent malignancy. Our results suggest that: (1) the presence of bcr rearrangement in CML is associated with clinical features of Ph-positive disease, even in the absence of the Ph chromosome; (2) deletions occur within bcr and necessitate the use of probes covering both 5' and 3' DNA segments for accurate diagnosis; (3) molecular analysis may provide a useful approach to the follow-up of leukemia therapy in some patients; and (4) these patients respond to hydroxyurea, busulphan, and IFN-alpha therapy.

Adolescent