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At least 1,027 records · Page 57Linked to original sources

PubMed2005

Wireless home monitoring and health care activity management through the Internet in patients with chronic diseases.

A project was developed for the creation of an Internet-based network aimed at improved management of home care activities in brain-injured children. At the patient's side, a home care unit was provided, made of a portable medical device, and a tablet PC. Measured clinical data were blood oxygen saturation, heart rate, breath rate and quantity of movement. Thanks to device portability, the patient was free to move while measurements were taken. At prescribed time intervals, measured data were automatically transmitted to the tablet PC via Bluetooth. From the tablet PC, data were transmitted remotely to a Service Centre (via ADSL or GPRS) and made available for consultation by health care professionals through the project Web portal. At the portal, other functionalities were also available, both for patients and families, and for professionals (such as weekly planning agenda, access to relevant information resources, communication tools). Information was delivered for the right participant through a workflow engine. A first trial involving nine patients was performed for two months. At the end, although some improvements were suggested, good acceptance was detected, and 78% of patients and families claimed to be interested in further use of the platform.

Brain Injuries↗

PubMed2025

Acoustic ejection mass spectrometry: the potential for personalized medicine.

INTRODUCTION: The emergence of personalized medicine (PM) has shifted the focus of healthcare from the traditional 'one-size-fits-all' approach to strategies tailored to individual patients, accounting for genetic, environmental, and lifestyle factors. Acoustic ejection mass spectrometry (AEMS) is a novel technology that offers a robust and scalable platform for high-throughput MS readout. AEMS achieves analytical speeds of one sample per second while maintaining high data quality, broad compound coverage, and minimal sample preparation, making it an invaluable tool for PM. AREAS COVERED: This article explores the potential of AEMS in critical PM applications, including therapeutic drug monitoring (TDM), proteomics, metabolomics, and mass spectrometry imaging. AEMS simplifies conventional workflows by minimizing sample preparation, enhancing automation compatibility, and enabling direct analysis of complex biological matrices. EXPERT OPINION: Integrating AEMS with orthogonal separation techniques such as differential mobility spectrometry (DMS) further addresses challenges in isomer discrimination, expanding the platform's analytical capabilities. Additionally, the development of high-throughput data processing tools could further enable AEMS to accelerate the development of personalized medicine.

Humans↗

PubMed2026

Analytical challenges for mapping non-canonical and non-protein ubiquitin/Ubl modifications by mass spectrometry.

INTRODUCTION: Covalent modification by ubiquitin via Lys isopeptide bonds is fundamental for regulating protein turnover and function. Additionally, ubiquitin esterification occurs on Ser/Thr/Tyr residues in proteins and on non-proteinaceous substrates including ribose, saccharides, lipids, and small molecule drugs. Ubiquitin posttranslational modifications may therefore be much more widespread across cell biological pathways. Recent literature (PubMed) reflects the increased interest in analytical methods for mapping of non-canonical substrates modified by ubiquitin and ubiquitin-like (UBL) proteins. AREAS COVERED: Mass spectrometry (MS)-based methodologies involve advanced proteomic techniques to identify ubiquitin modifications on amino acids other than Lys, such as Ser, Thr, Tyr and Cys as well as protein N-termini. After digestion, standard MS workflows identify canonical ubiquitination by detecting a ubiquitin C-terminal tag attached to the amine side chains of Lys residues of substrate-derived peptides suitable for MS/MS sequencing. For non-canonical modifications on proteins and substrates other than proteins, specialized strategies are required, such as using antibodies to enrich N-terminally modified peptides in combination with using high-resolution MS/MS based on softer fragmentation technologies to detect esterification and possibly other types of substrate modifications. EXPERT OPINION: Enabling such technologies will reveal a previously unrecognized angle of the ubiquitin code's complexity in cells.

Humans↗

PubMed2026

Proteomics-based approaches to neutrophil biology.

INTRODUCTION: Neutrophils are central effectors of innate immunity and key contributors to inflammation, host defense, and tissue injury across a wide range of physiological and pathological contexts. Due to their short lifespan, rapid activation, and extensive post-translational regulation, comprehensive molecular characterization of neutrophil function requires approaches that go beyond transcriptomics or marker-based analyses. AREAS COVERED: This review summarizes how proteomic technologies have advanced the understanding of neutrophil biology by enabling unbiased, system-wide profiling of protein abundance, subcellular organization, post-translational modifications, and functional heterogeneity. We discuss global and subcellular proteomics, PTM-centric analyses, and emerging low-input and single-cell proteomic strategies, highlighting recent studies of infection, cancer, metabolic disorders, aging, autoimmune disease, and inflammation. The literature covered includes current large-scale quantitative proteomics, targeted PTMs, and integrative multi-omics studies in both human samples and relevant experimental models. EXPERT OPINION: Proteomics has established neutrophils as highly plastic and context-dependent cells whose functions are governed by coordinated remodeling of signaling, metabolism, and effector pathways. Future progress will depend on expanding neutrophil-specific PTM maps, improving low-input workflows, and integrating single-cell and spatial proteomics. Together, these advances are expected to redefine neutrophil functional states and accelerate translation toward clinically meaningful biomarkers and therapeutic strategies.

Humans↗

PubMed2026

The clinical promise of mass spectrometry-based single-cell proteomics: from bedside to bench.

INTRODUCTION: Single-cell proteomics (SCP) is entering into a transformative phase, moving beyond technically demanding benchmarking studies toward robust and reproducible workflows capable of quantifying thousands of proteins per cell. These advances highlight SCP's potential to address clinically relevant questions by resolving cellular and pathological heterogeneity that remains obscured in bulk proteomics. AREAS COVERED: This review discusses current advances, challenges, and clinical applications of SCP based on literature identified through searches in major scientific databases. Many clinically relevant samples remain underexplored in SCP studies, in part because their application requires careful evaluation of pre-analytical variables that can strongly influence proteomic readouts. Current SCP methodologies vary according to sample type, experimental conditions, and available resources. Compared with single-cell RNA sequencing, SCP remains limited in cellular throughput, making it challenging to define optimal sample sizes and to reliably detect both abundant and rare cell populations. These limitations also make dataset integration difficult, as reduced cellular coverage and sampling depth increase data sparsity. Moreover, implementing quality control strategies across sequential SCP experiments is essential to ensure data robustness, comparability, and accurate biological interpretation. EXPERT OPINION: Applying SCP to clinical samples advances our understanding of biological complexity and holds potential to drive progress in translational and precision medicine.

Humans↗

PubMed2026

Clinical proteomics in inborn errors of metabolism: from biomarker discovery to implementation.

INTRODUCTION: Inborn errors of metabolism (IEMs) are rare, heterogeneous disorders traditionally diagnosed through genetic testing, enzyme assays, and metabolite measurements. However, these tools often do not fully explain phenotypic variability, organ involvement, disease progression, or treatment response. Clinical proteomics provides a complementary functional layer by capturing changes in protein abundance, proteoforms, post-translational modifications (PTM), and biological pathways, offering insights beyond genotype- and metabolite-based approaches. AREAS COVERED: This review examines the role of high-resolution mass spectrometry and computational proteomics in biomarker discovery and clinical decision-making for IEMs. It focuses on their contribution to diagnosis, variant interpretation, patient stratification, and treatment monitoring. Disease-specific applications are discussed, with the strongest evidence in lysosomal storage disorders, mitochondrial diseases, congenital disorders of glycosylation, and selected neurodegenerative or renal metabolic conditions. The literature search was performed in PubMed, Scopus, Web of Science, and Google Scholar, covering peer-reviewed articles available up to 2026, with emphasis on methodological advances and translational applications in clinical proteomics for IEMs. EXPERT OPINION: Proteomics will not replace established diagnostic tools, but it can help address clinically actionable questions in selected contexts. Translation into clinical practice will require standardized workflows, multicenter validation, clinically anchored endpoints, and integration with other omics approaches.

Humans↗

PubMed2026

Mössbauer spectroscopy in drug discovery: revealing Fe- and Fe-S cluster dependent targets.

INTRODUCTION: Iron- and iron-sulfur cluster (Fe-S)-containing proteins are essential for diverse biological processes, including electron transfer, genome maintenance, metabolism, cellular signaling, and host-pathogen interactions. Despite their broad biological importance and growing links to human disease, Fe-S cluster-dependent proteins remain underexplored as therapeutic targets, largely because it is difficult to define their metal-dependent chemistry using conventional biochemical, spectroscopic, and structural approaches. AREAS COVERED: This review examines how Mössbauer spectroscopy can be integrated into workflows for metalloprotein characterization, target validation, and drug discovery. Using representative Fe-S cluster-containing proteins, the practical considerations for implementing Mössbauer spectroscopy are outlined, including 57Fe-enriched expression, sample preparation, and spectroscopic analysis. Two case studies of experimentally challenging viral Fe-S cluster proteins are then highlighted, the Hepatitis B virus X protein and the Porcine Reproductive and Respiratory Syndrome Virus Nsp1α protease, which demonstrate how direct characterization of metal cofactors can reveal previously unrecognized therapeutic avenues. Relevant literature published through March 2026 was identified using PubMed and Google Scholar with keywords related to Mössbauer spectroscopy, iron-sulfur proteins, viral metalloproteins, and drug discovery. EXPERT OPINION: As drug discovery increasingly seeks to exploit metal-dependent biology, Mössbauer spectroscopy will play an important role in identifying cryptic metalloproteins, defining their native states, and uncovering Fe- and Fe-S cluster-dependent targets. Mössbauer spectroscopy can also be complementary, and integrated with structural and AI-driven approaches to answer emerging challenges in medicinal chemistry.

Humans↗

PubMed2026

The Gyrolab platform for immunogenicity assessment and biotherapeutic and biomarker analysis: technical advances and bioanalytical applications.

Gyrolab is an automated ligand‑binding assay platform designed for the quantification of proteins with high sensitivity and broad dynamic range. Its low minimum required dilution and microfluidic disc format enable efficient sample processing while maintaining assay robustness, making it a valuable tool across drug‑development stages. This review summarizes published applications of Gyrolab for pharmacokinetic and toxicokinetic analysis and immunogenicity assessment through anti‑drug antibody detection. In addition, the platform's high-volume assay discs have facilitated its use in biomarker studies, allowing quantification of low‑abundance analytes. Representative examples from the literature are presented together with key assay elements, including analytes, matrices, dynamic ranges, and critical reagents. Because assay replicates remain an important consideration for Gyrolab workflows, recent publications addressing singlet versus duplicate strategies and their impact on data interpretation are also discussed. Finally, we provide real analytical data visualized using a three‑dimensional Gyrolab viewer to illustrate variability in duplicate measurements and to highlight future opportunities for improving assay reliability.

Humans↗

PubMed2006

The IMRT information process-mastering the degrees of freedom in external beam therapy.

The techniques and procedures for intensity-modulated radiation therapy (IMRT) are reviewed in the context of the information process central to treatment planning and delivery of IMRT. A presentation is given of the evolution of the information based radiotherapy workflow and dose delivery techniques, as well as the volume and planning concepts for relating the dose information to image based patient representations. The formulation of the dose shaping process as an optimization problem is described. The different steps in the calculation flow for determination of machine parameters for dose delivery are described starting from the formulation of optimization objectives over dose calculation to optimization procedures. Finally, the main elements of the quality assurance procedure necessary for implementing IMRT clinically are reviewed.

Animals↗

PubMed2026

Volumetric bone marrow cellularity (VBMC) assessment from routinely processed trephines using three-dimensional x-ray histology and gaussian peak modelling.

Objective.Bone marrow cellularity is routinely estimated from a small number of two-dimensional histology sections, making assessment sensitive to section representativeness, processing artefacts and observer interpretation. Three-dimensional (3D) x-ray histology (XRH), using x-ray computed microtomography (µCT), enables non-destructive whole-block imaging of trephine biopsies. This study evaluated whether XRH combined with Gaussian peak modelling could provide a pragmatic whole-block volumetric bone marrow cellularity (VBMC) estimate from formalin-fixed paraffin-embedded (FFPE) trephine biopsy blocks.Approach.Six routinely processed FFPE bone marrow trephine blocks were imaged using µCT-based XRH at ∼15 µm spatial resolution. VBMC was defined as the red-marrow (RM) fraction of the marrow soft-tissue compartment, RM/(RM + intra-biopsy wax), with wax serving as the volumetric proxy for adipocyte/yellow marrow space. Whole-volume greyscale histograms were modelled using a three-peak Gaussian approach representing intra-biopsy wax, RM and demineralised trabecular matrix. Peak-height and area-under-the-curve metrics were compared with whole-volume 3D segmentation and clinical two-dimensional (2D) cellularity estimates.Main Results.Gaussian peak modelling successfully approximated the segmented tissue-phase distributions. The peak-height-derived VBMC metric showed the closest agreement with whole-volume 3D segmentation, with an average absolute percentage difference of 9.3%, compared with 18.6% for clinical expert 2D cellularity estimates. The area-under-the-curve metric followed similar trends but consistently overestimated VBMC. Clinical 2D cellularity broadly followed whole-biopsy trends but showed one discordant case not explained by slice-position sampling alone. XRH also enabled unrestricted virtual reslicing and visualisation of sectioning-associated artefacts prior to further microtomy.Significance.Pre-sectioning XRH combined with Gaussian peak modelling provides a rapid, segmentation-free route to volumetric cellularity estimation from intact clinical FFPE trephine blocks. The approach supports objective whole-biopsy assessment while remaining compatible with routine histopathology workflows, reflecting the expected limitations of section-based visual estimation despite its role as the current clinical standard. In the near term, it could provide a non-disruptive adjunct to conventional 2D cellularity reporting, pending larger validation studies.

Imaging, Three-Dimensional↗

PubMed2003

Emerging information management technologies and the future of disease management.

Disease management (DM) has become a widely accepted way to support care delivery in the chronically ill patient population. Patients enrolled in these programs have been shown to have better health, fewer complications and comorbidities, and lower health care costs. The development of advanced information management technologies is further enhancing the role DM plays in optimizing outcomes and cost-effectiveness in clinical care. These emerging information management technologies (EIMT) include advances in software, hardware, and networking, all of which share common impact attributes in their ability to improve cost-effectiveness of care, quality of care, and access to care. Specific examples include interactive websites with the ability to engage patients in the self-care management process, the embedding of biometric devices (digital scales, modem-enabled glucose meters in the home, blood pressure monitoring, etc.), workflow and care coordination programs that add intelligence via guideline-directed alerts and reminders to the delivery process, registries that include a summary of personal health data that can be used as a reference point for improved clinical decisions, and the systematic collection of aggregated, de-identified clinical, administrative, and cost data into comprehensive data sets to which predictive modeling analytic tools can be applied. By way of case example, we also present data from a controlled clinical trial utilizing EIMT in the form of home-based weight measurement using a digital scale and linkage to a care coordination center for the management of severe congestive heart failure. Outcome results on 85,515 patient-months of an aggregate commercial and Medicare continuously enrolled population demonstrated an average reduction of care utilization (hospitalization) of 57% and a reduction in related delivery cost (per member per year payments) of 55%. We conclude that EIMT have already begun to offer significant and quantifiable benefits to DM and are likely to become heavily embedded in care management strategies in the future.

Aged↗

PubMed2003

BioSPICE: access to the most current computational tools for biologists.

The goal of the BioSPICE program is to create a framework that provides biologists access to the most current computational tools. At the program midpoint, the BioSPICE member community has produced a software system that comprises contributions from approximately 20 participating laboratories integrated under the BioSPICE Dashboard and a methodology for continued software integration. These contributed software modules are the BioSPICE Dashboard, a graphical environment that combines Open Agent Architecture and NetBeans software technologies in a coherent, biologist-friendly user interface. The current Dashboard permits data sources, models, simulation engines, and output displays provided by different investigators and running on different machines to work together across a distributed, heterogeneous network. Among several other features, the Dashboard enables users to create graphical workflows by configuring and connecting available BioSPICE components. Anticipated future enhancements to BioSPICE include a notebook capability that will permit researchers to browse and compile data to support model building, a biological model repository, and tools to support the development, control, and data reduction of wet-lab experiments. In addition to the BioSPICE software products, a project website supports information exchange and community building.

Computational Biology↗

PubMed2006

Design and implementation of a web-based patient portal linked to an ambulatory care electronic health record: patient gateway for diabetes collaborative care.

BACKGROUND: Despite the availability of expert guidelines and widespread diabetes quality improvement efforts, care of patients with diabetes remains suboptimal. Two key barriers to care that may be amenable to informatics-based interventions include (1) lack of patient engagement with therapeutic care plans and (2) lack of medication adjustment by physicians ("clinical inertia") during clinical encounters. METHODS: The authors describe the conceptual framework, design, implementation, and analysis plan for a diabetes patient web-portal linked directly to the electronic health record (EHR) of a large academic medical center via secure Internet access designed to overcome barriers to effective diabetes care. RESULTS: Partners HealthCare System (Boston, MA), a multi-hospital health care network comprising several thousand physicians caring for over 1 million individual patients, has developed a comprehensive patient web-portal called Patient Gateway that allows patients to interact directly with their EHR via secure Internet access. Using this portal, a specific diabetes interface was designed to maximize patient engagement by importing the patient's current clinical data in an educational format, providing patient-tailored decision support, and enabling the patient to author a "Diabetes Care Plan." The physician view of the patient's Diabetes Care Plan was designed to be concise and to fit into typical EHR clinical workflow. CONCLUSIONS: We successfully designed and implemented a Diabetes Patient portal that allows direct interaction with our system's EHR. We are assessing the impact of this advanced informatics tool for collaborative diabetes care in a clinic-randomized controlled trial among 14 primary care practices within our integrated health care system.

Ambulatory Care↗

PubMed2006

Anticoagulation management: a new approach.

Anticoagulation therapy has been identified as an area in which new approaches to treatment and monitoring may allow for significant improvements in healthcare quality and costs. We evaluated the potential benefits of a new approach to anticoagulation therapy, utilizing decision support software, point-of-service testing, and workflow redesign. We performed an intervention study in the setting of a university-affiliated primary care clinic, involving 40 patients receiving chronic anticoagulation therapy. Study measurement included anticoagulation control, complications of therapy and related costs, as well as clinic revenue and overhead costs. After implementation of the new approach, the frequency of international normalized ratio (INR) results within therapeutic range increased from 34% to 67%. During a 1-year follow-up period, complications related to anticoagulation therapy were reduced by 91% (p < 0.01). Labor-related overhead costs decreased from approximately 12,600 to 3,100 US dollars. During the same period, the clinic generated approximately 35,000 US dollars in new revenue. For every dollar spent on clinic implementation and maintenance, over 25 US dollars was returned from cost containment and new revenue production. This approach allows a clinic to show improved anticoagulation control and complication rates while simultaneously improving financial performance.

Adult↗

PubMed2006

Establishing reporting standards for metabolomic and metabonomic studies: a call for participation.

Metabolite concentrations in cellular systems are very much dependent on the physiological, environmental, and genetic status of an organism and are regarded as the ultimate result of cellular regulation, resulting in the visible phenotypes. Therefore, the comprehensive analysis of metabolite levels and fluxes renders a suitable tool for assessing the degree of perturbation in biological systems. Lessons derived from development of other OMICS areas (genomics, proteomics, and transcriptomics) have shown that large-scale comparisons and interpretations will require the re-use of data over long periods of time and by multiple laboratories with different expertise and backgrounds. Reaching this goal will require standardization of reporting structures of metabolomic studies for journal publication purposes, for regulatory deposition, and for database dissemination. An initiative by the Metabolomics Society is presented that aims to define important aspects of metabolomic workflows. These include biological study designs, chemical analysis, and data processing, as well as the ontologies that are necessary in this framework.

Animals↗

PubMed2006

FuGE: Functional Genomics Experiment Object Model.

This is an interim report on the Functional Genomics Experiment (FuGE) Object Model. FuGE is a framework for creating data standards for high-throughput biological experiments, developed by a consortium of researchers from academia and industry. FuGE supports rich annotation of samples, protocols, instruments, and software, as well as providing extension points for technology specific details. It has been adopted by microarray and proteomics standards bodies as a basis for forthcoming standards. It is hoped that standards developers for other omics techniques will join this collaborative effort; widespread adoption will allow uniform annotation of common parts of functional genomics workflows, reduce standard development and learning times through the sharing of consistent practice, and ease the construction of software for accessing and integrating functional genomics data.

Computer Simulation↗

PubMed2004

Prototype database for telerehabilitation.

Telerehabilitation is a promising alternative health-care delivery system, but currently lacks broad-based empirical support for the efficacy and cost utility of its interventions. This article describes the development of a database at INTEGRIS Jim Thorpe Rehabilitation Center (IJTRC) that will link the delivery of telerehabilitation services, reimbursement, and outcomes evaluation. The database is a culmination of the combined efforts of administrators, clinicians, and information technology professionals. Feasibility of the project was first established from technical, economic, and organizational perspectives. The current workflow and documentation processes were analyzed and enhanced. This was followed by data modeling and design of the database architecture in terms of network, security, scalability, and system specification. A prototype was created in Microsoft Access with the final product planned in Structured Query Language (SQL) with a front-end in JAVA JSP. The initial results with the database have been encouraging in terms of increased efficacy and security, process streamlining, error reduction, and collection of comprehensive standardized data for statistical analysis of clinical and research outcomes.

Databases as Topic↗

PubMed2006

A Web-based telemedicine system for diabetic retinopathy screening using digital fundus photography.

The purpose was to design and implement a Web-based telemedicine system for diabetic retinopathy screening using digital fundus cameras and to make the software publicly available through Open Source release. The process of retinal imaging and case reviewing was modeled to optimize workflow and implement use of computer system. The Web-based system was built on Java Servlet and Java Server Pages (JSP) technologies. Apache Tomcat was chosen as the JSP engine, while MySQL was used as the main database and Laboratory of Neuro Imaging (LONI) Image Storage Architecture, from the LONI-UCLA, as the platform for image storage. For security, all data transmissions were carried over encrypted Internet connections such as Secure Socket Layer (SSL) and HyperText Transfer Protocol over SSL (HTTPS). User logins were required and access to patient data was logged for auditing. The system was deployed at Hubert H. Humphrey Comprehensive Health Center and Martin Luther King/Drew Medical Center of Los Angeles County Department of Health Services. Within 4 months, 1500 images of more than 650 patients were taken at Humphrey's Eye Clinic and successfully transferred to King/Drew's Department of Ophthalmology. This study demonstrates an effective architecture for remote diabetic retinopathy screening.

Diabetic Retinopathy↗