Advancing clinical biochemistry: addressing gaps and driving future innovations DOI Creative Commons

Haiou Cao,

Felix Oghenemaro Enwa,

Amaliya Latypova

et al.

Frontiers in Medicine, Journal Year: 2025, Volume and Issue: 12

Published: April 8, 2025

Modern healthcare depends fundamentally on clinical biochemistry for disease diagnosis and therapeutic guidance. The discipline encounters operational constraints, including sampling inefficiencies, precision limitations, expansion difficulties. Recent advancements in established technologies, such as mass spectrometry the development of high-throughput screening point-of-care are revolutionizing industry. biosensor technology wearable monitors facilitate continuous health tracking, Artificial Intelligence (AI)/machine learning (ML) applications enhance analytical capabilities, generating predictive insights individualized treatment protocols. However, concerns regarding algorithmic bias, data privacy, lack transparency decision-making ("black box" models), over-reliance automated systems pose significant challenges that must be addressed responsible AI integration. limitations remain-substantial implementation expenses, system incompatibility issues, information security vulnerabilities intersect with ethical considerations fairness protected information. Addressing these demands coordinated efforts between clinicians, scientists, technical specialists. This review discusses current biochemistry, explicitly addressing reference intervals barriers to implementing innovative biomarkers medical settings. discussion evaluates how advanced technologies multidisciplinary collaboration can overcome constraints while identifying research priorities diagnostic accessibility better delivery.

Language: Английский

A simplified optimization approach for sample preparation workflow in LC‐MS‐based quantitative proteomic analysis: Biological samples to peptides DOI Open Access

Surendra Fartade,

Tarang Jadav, Niraj Rajput

et al.

Archiv der Pharmazie, Journal Year: 2025, Volume and Issue: 358(3)

Published: March 1, 2025

Quantitative proteomics, an integral subfield within is pivotal for elucidating complex biological processes. By integrating with other omics data, quantitative proteomics facilitates system-level analysis and significantly advances our understanding of cellular networks disease mechanisms. The ongoing advancements in technology boost its importance by improving analytical accuracy. This review focuses on employing liquid chromatography-mass spectrometry (LC-MS), a cornerstone technique renowned sensitivity, selectivity, accuracy, throughput. efficacy LC-MS heavily reliant sample preparation, which encompasses protein extraction, total estimation, reduction, alkylation, digestion, cleanup. For the very first time, this article provides detailed examination preparation methods offering insights guidelines that researchers can utilize to refine their experimental protocols were not critically evaluated before. optimizing workflows, enhance robustness reproducibility proteomic studies. complexities optimize workflow improve results. comprehensive overview strategies using LC-MS, discussing underlying principles key considerations each step. delving into aims aid workflows achieve robust reproducible results, ultimately drive innovations breakthroughs biomedical research healthcare.

Language: Английский

Citations

0

Serum Proteomics Reveals Survival-Associated Biomarkers in Pancreatic Cancer Patients Treated with Chemoimmunotherapy DOI Creative Commons
Marco Tognetti,

Lopamudra Chatterjee,

Nigel Beaton

et al.

iScience, Journal Year: 2025, Volume and Issue: 28(4), P. 112230 - 112230

Published: March 16, 2025

Immunotherapy has transformed the landscape of cancer treatment but remains largely ineffective for patients with pancreatic ductal adenocarcinoma (PDAC). Some patients, however, show improved outcomes when treated a combination immunotherapy and chemotherapy. Here, we conducted deep serum proteome analysis to investigate protein profiles PDAC changes during this combinatorial treatment. Utilizing an advanced workflow, quantified 1,011 proteins across 211 samples from 62 patients. Glycolytic enzymes were associated survival in anti-PD-1-treated their abundances significantly correlating expression levels tumor biopsies. Notably, set biomarkers was found be highly predictive (area under curve [AUC] = 0.91). Overall, our data demonstrate potential proteomics precision medicine, offering powerful tool guide patient selection through minimally invasive biomarker measurements.

Language: Английский

Citations

0

On the Ocean of Biomarkers for the Precise Diagnosis and Prognosis of Lung Diseases DOI Open Access

Van Duc Pham,

Jung‐Hyung Lee,

Dasom Shin

et al.

PROTEOMICS - CLINICAL APPLICATIONS, Journal Year: 2025, Volume and Issue: unknown

Published: March 17, 2025

ABSTRACT Bronchoalveolar lavage fluid (BALF) has long been used for diagnosing various lung diseases through its cellular components. However, the clinical utility of biomolecules in BALF remains largely unexplored. Recently, mass spectrometry‐based proteomics applied to profile proteomes identify novel biomarkers diseases. This review discusses current progress field and highlights potential as a valuable source different Additionally, we explored latest advancements findings from studies. Finally, address limitations propose future directions research opportunities advance study BALF.

Language: Английский

Citations

0

Self-Assembled PROTACs Enable Glycoproteins Degradation in the Living Cells. DOI Creative Commons
Haoyu Chen,

Liu Zang,

Pavel Kielkowski

et al.

Chemical Science, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

We report here a two-component proteolysis targeting chimeras (PROTACs) strategy selectively O-GalNAcylated and O-GlcNAcylated proteins for proteasomal degradation, which leads to severe toxicity in human cancer cell lines through...

Language: Английский

Citations

0

Advancing clinical biochemistry: addressing gaps and driving future innovations DOI Creative Commons

Haiou Cao,

Felix Oghenemaro Enwa,

Amaliya Latypova

et al.

Frontiers in Medicine, Journal Year: 2025, Volume and Issue: 12

Published: April 8, 2025

Modern healthcare depends fundamentally on clinical biochemistry for disease diagnosis and therapeutic guidance. The discipline encounters operational constraints, including sampling inefficiencies, precision limitations, expansion difficulties. Recent advancements in established technologies, such as mass spectrometry the development of high-throughput screening point-of-care are revolutionizing industry. biosensor technology wearable monitors facilitate continuous health tracking, Artificial Intelligence (AI)/machine learning (ML) applications enhance analytical capabilities, generating predictive insights individualized treatment protocols. However, concerns regarding algorithmic bias, data privacy, lack transparency decision-making ("black box" models), over-reliance automated systems pose significant challenges that must be addressed responsible AI integration. limitations remain-substantial implementation expenses, system incompatibility issues, information security vulnerabilities intersect with ethical considerations fairness protected information. Addressing these demands coordinated efforts between clinicians, scientists, technical specialists. This review discusses current biochemistry, explicitly addressing reference intervals barriers to implementing innovative biomarkers medical settings. discussion evaluates how advanced technologies multidisciplinary collaboration can overcome constraints while identifying research priorities diagnostic accessibility better delivery.

Language: Английский

Citations

0