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Оценка на взгляде металлолома и биомаркеров болезней.

Почти ежедневно аналитическая химия ставит новые и захватывающие задачи, которые согласуются с целями, вытекающими из биологических наук. Основная цель этой работы состоит в том, чтобы сосредоточить внимание на метаболоме, металлоломе и биомаркерах болезней, которые представляют собой увлекательное поле в живых системах. В этой работе также кратко рассматриваются основные особенности, а также основные особенности наиболее важных биохимических биомаркеров для различных распространенных неврологических и аутоиммунных заболеваний (болезнь Альцгеймера, болезнь Паркинсона, множественный склероз и л

Совпадение в аннотации оригинала
Almost daily, analytical chemistry presents new and exciting challenges that align with the goals emerging from the life sciences. The prima … metalloids in the aforementioned diseases. Finally, the work includes a section on the integrative multiomics approach because a diseasome involves multiple species and requires the manipulation of multiple data sets from different levels to understand the relationships underlying a disease. The most recent trends in analytical chemistry are crucial for add …

Multi-omic profiling of intraductal papillary neoplasms of the pancreas reveals distinct expression patterns and potential markers of progression.

UNLABELLED: In order to advance our understanding of precancers in the pancreas, 69 pancreatic intraductal papillary neoplasms (IPNs), inclu … pressed in IPMNs included those involved in glycan biosynthesis and the immune system. In addition, multiomics clustering identified two subtypes of IPMNs. This study provides a foundation for understanding tumor progression and targets for earlier detection and therapies. SIGNIFICANCE: This multilevel characterization of intraductal papillary neoplasms of …

MOCS, a novel classifier system integrated multimoics analysis refining molecular subtypes and prognosis for skin melanoma.

PURPOSE: The present investigation focuses on Skin Cutaneous Melanoma (SKCM), a melanocytic carcinoma characterized by marked aggression, significant heterogeneity, and a complex etiological background, factors which collectively contribute to the challenge in prognostic determinations. We defined a novel classifier system specifically tailored for SKCM based on multiomics. METHODS: We collected 423 SKCM samples with multi omics datasets to perform a consensus cluster analysis using 10 machine learning algorithms and verified in 2 independent cohorts. Clinical features, biological characteris…

Digital twins: a new paradigm in oncology in the era of big data.

Recent advancements in health care digitalization opened the collection and availability of big data, whose analysis requires artificial int … l simulations and the continuous updating of real-life data-ideally incorporating clinical records, multiomics data, and patient-reported outcomes. DTs can potentially integrate these diverse data into virtual models applicable across pre-clinical to clinical studies. Running simulations in silico on cancer cells or cancer patients' DTs can provide valuable …

Olink and gut microbial metabolomics reveal new biomarkers for the prediction and diagnosis of PMOP.

LNTRODUCTION: Postmenopausal osteoporosis (PMOP) can cause postmenopausal women to experience pain and interference. Identifying and exploring potential early diagnostic biomarkers of PMOP is of substantial clinical value and social significance. This study aimed to screen for potential novel diagnostic biomarkers of PMOP through a multiomics approach, providing new directions and ideas for the early prevention and treatment of this disease. MATERIALS AND METHODS: Fifteen postmenopausal women with osteoporosis and 12 without were recruited. Clinical information was collected, and various clin…

The SCRUM-MONSTAR Cancer-Omics Ecosystem: Striving for a Quantum Leap in Precision Medicine.

The SCRUM-Japan MONSTAR-SCREEN consortium is a nationwide molecular profiling project employing artificial intelligence-driven multiomics analyses for patients with advanced malignancies, aiming to develop novel therapeutics and diagnostics and deliver effective drugs to patients. Concurrently, studies assessing molecular residual disease-based precision medicine for resectable solid tumors, including CIRCULATE-Japan, are ongoing. The substantial data generated by these platforms are stored within a state-of-the-art supercomputing infrastructure, VAPOR CONE. Since 2015, our project has registe…

Multipathway of Nitrogen Metabolism Revealed by Genome-Centered Metatranscriptomics from Pyrite-Guided Mixotrophic Partial Denitrification/Anammox Installations.

Further reducing the organic requirements is essential for the sustainable development of partial denitrification/anammox technology. Here, … , the electron transfer-dependent nitrogen escape and energy metabolism were first elucidated using multiomics analysis. Apart from heterotrophic denitrification and anammox, the results revealed some unexpected metabolic couplings of MPD/A systems, in particular, putative nitrate-dependent organic and pyrite oxidation among nominally heterotrophic Denitrati …

Immunometabolic interference between cancer and COVID-19.

Even though cancer patients are generally considered more susceptible to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, the mechanisms driving their predisposition to severe forms of coronavirus disease 2019 (COVID-19) have not yet been deciphered. Since metabolic disorders are associated with homeostatic frailty, which increases the risk of infection and cancer, we asked whether we could identify immunometabolic pathways intersecting with cancer and SARS-CoV-2 infection. Thanks to a combined flow cytometry and multiomics approach, here we show that the immunometabolic…

Chronic cadmium exposure triggered ferroptosis by perturbing the STEAP3-mediated glutathione redox balance linked to altered metabolomic signatures in humans.

Cadmium (Cd), a predominant environmental pollutant, is a canonical toxicant that acts on the kidneys. However, the nephrotoxic effect and u … visualization of the disruption to glutathione homeostasis related to ferroptosis in mouse kidneys. Multiomics analysis revealed that chronic Cd exposure induced glutathione redox imbalance that depended on STEAP3-driven lysosomal iron overload. In particular, glutathione metabolic reprogramming linked to ferroptosis emerged as a metabolic hallmark in the bl …

Genetics and epigenetics of human aggression.

There is substantial variation between humans in aggressive behavior, with its biological etiology and molecular genetic basis mostly unknow … expect that increases in sample size will lead to additional discoveries in GWAS and EWAS, and that multiomics approaches will lead to a more comprehensive understanding of the molecular underpinnings of aggression.

Reprogramming neurons for regeneration: The fountain of youth.

Neurons in the central nervous system (CNS) are terminally differentiated cells that gradually lose their ability to support regeneration du … he potential underlying molecular mechanisms. Moreover, by using newly emerging techniques, such as multiomics sequencing with big data analysis and Crispr-based gene editing, we will discuss future research directions focusing on better revealing cellular state reprogramming-induced remodeling of chromatin landscape and potential translational application.

Integrated Genomic Analysis Identifies Driver Genes and Cisplatin-Resistant Progenitor Phenotype in Pediatric Liver Cancer.

Pediatric liver cancers (PLC) comprise diverse diseases affecting infants, children, and adolescents. Despite overall good prognosis, PLCs d … PLCs are deadly when they resist chemotherapy, with limited alternative treatment options. Using a multiomics approach, we identified PLC driver genes and the cellular phenotype at the origin of cisplatin resistance. We validated new treatments targeting these molecular features in cell lines and xenografts.This article is highlighted in the In This Issue f …

MicroRNA-26a/b-5p promotes myocardial infarction-induced cell death by downregulating cytochrome c oxidase 5a.

Myocardial infarction (MI) damage induces various types of cell death, and persistent ischemia causes cardiac contractile decline. An effective therapeutic strategy is needed to reduce myocardial cell death and induce cardiac recovery. Therefore, studies on molecular and genetic biomarkers of MI, such as microRNAs (miRs), have recently been increasing and attracting attention due to the ideal characteristics of miRs. The aim of the present study was to discover novel causative factors of MI using multiomics-based functional experiments. Through proteomic, MALDI-TOF-MS, RNA sequencing, and netw…

Using Medical Big Data to Develop Personalized Medicine for Dry Eye Disease.

Dry eye disease (DED) is a chronic, multifactorial ocular surface disorder with multiple etiologies that results in tear film instability. G … h no effective preventative therapies available. Medical big data analyses, mining information from multiomics studies and mobile health applications, may offer a solution for managing chronic conditions such as DED. Omics-based data on individual physiologic status may be leveraged to prevent high-risk diseases, accurately diagnose illness, and improve pati …

Incidental findings in data-intensive postgenomics science and legal liability of clinician-researchers: ready for vaccinomics?

Vaccinomics encompasses a host of multiomics approaches to characterize variability in host-environment (including pathogens) interactions, with a view to a more directed or personalized use of vaccine-based health interventions. Although vaccinomics has the potential to reduce adverse effects and increase efficacy of vaccines, the use of high-throughput, data-intensive technologies may also lead to unanticipated discoveries beyond the initial aims of a vaccinomics study--discoveries that could be highly significant to the health of the research participants. How do clinician-researchers faced…

Systematic Analysis of Tumor Microenvironment Using IOBR.

The Immuno-Oncology Biological Research (IOBR) package is an R-based analysis tool for exploring the tumor microenvironment (TME) and its influence on anti-tumor immunity. Built for high-throughput data-spanning both transcriptomic and genomic profiles-IOBR integrates six analytical modules, including transcriptomic data preprocessing, TME profiling, TME pattern identification, ligand-receptor interaction analysis, genome-TME interaction assessment, and visualization. In this chapter, we walk through a multi-omics workflow using example datasets, illustrating data preparation, distribution ana

Advancing Marine Mammal Conservation Through Omics Tools and Integration of Indigenous Ecological Knowledge.

Conservation of biodiversity is a global priority as human-driven pressures continue to intensify and alter ecosystems worldwide. Marine mammals are vulnerable species, facing numerous escalating anthropogenic threats. Here, we evaluate how, as omics technologies become more accessible and affordable, established and emerging tools are advancing effective marine mammal research and conservation management. Assessments of genetic diversity, adaptive capacity, demographic history and local adaptation provide vital insights into how marine mammal populations respond to environmental change across

Exposure-shaped immunometabolic networks in chronic liver disease: translating multi-omics and artificial intelligence into preventive biomarkers.

Chronic liver disease develops through sustained interactions among metabolic stress, environmental exposure, immune activation, and tissue remodeling. These processes are often studied as separate domains, yet in patients they converge within the same hepatic microenvironment and help explain why disease trajectories vary even within the same diagnostic category. Exposure science has sharpened attention to diet, alcohol, pollutants, chemical mixtures, gut-derived signals, sleep and circadian disruption, and other behavioral determinants of liver injury. At the same time, multi-omics approache

Integrative multi-omics and network toxicology reveal candidate molecular targets of deoxynivalenol in melanoma.

Deoxynivalenol (DON) has been reported to exhibit skin toxicity and carcinogenic potential; however, its effects on melanoma remain unclear. We integrated network toxicology, single-cell transcriptomic analysis, molecular docking, and publicly available Human Protein Atlas immunohistochemical evidence to investigate the potential toxicological effects of DON on melanoma and identify candidate molecular targets. A total of 5283 DON-related genes were identified from the SwissTargetPrediction, CTD, and SEA databases, and 5101 melanoma-related genes were obtained from the GeneCards, TTD, and OMIM

Recent advances in detection techniques regarding predictive, prognostic, and diagnostic biomarkers in solid cancers and its future challenges.

The advent of biomarker-driven strategies has focused research on early detection, accurate diagnosis, prognosis assessment, and personalized treatment, thus revolutionizing the landscape of cancer care. The current chapter gives an extensive review of the latest advances in predictive, prognostic, and diagnostic biomarker detection methods in solid tumors using advanced technologies such as liquid biopsy, circulating tumor DNA (ctDNA), microRNAs, exosomal profiling, and multi-omics platforms that have high specificity and sensitivity in the identification of biomarkers. Additionally, the appl