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The interest of using LC-MS/MS as a method for detection of allergens in food is growing. In such methods, peptides are used as biomarkers for the detection and quantification of the allergens. The selection of good biomarker peptides is of high importance to develop a specific, universal and sensitive method. Biomarkers should, for example, be robust to food processing. To evaluate robustness, test material incurred with hazelnut having undergone different food processing techniques was produced. Proteins of these materials were extracted, digested and further analyzed using HRMS. After peptide identification, selection was carried out using several criteria such as hazelnut specificity and amino acid composition. Further selection was done by comparing peptide MS intensities in the different food matrices. Only peptides showing processing robustness were retained. Eventually, eight peptides coming from three major hazelnut proteins were selected as the best biomarkers for hazelnut detection in processed foods.
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http://dx.doi.org/10.1016/j.foodchem.2019.125679 | DOI Listing |
JCO Glob Oncol
May 2025
Department of Biochemistry, All India Institute of Medical Sciences, New Delhi, India.
Purpose: Breast cancer remains a significant public health challenge globally, as well as in India, where it is the most frequently diagnosed cancer in females. Significant disparities in incidence, mortality, and access to health care across India's sociodemographically diverse population highlight the need for increased awareness, policy reform, and research.
Design: This review consolidates data from national cancer registries, global cancer databases, and institutional findings from a tertiary care center to examine the epidemiology, clinical challenges, and management gaps specific to India.
Am J Reprod Immunol
September 2025
Department of Laboratory Animal Science, Kunming Medical University, Kunming, China.
Objective: To explore B cell infiltration-related genes in endometriosis (EM) and investigate their potential as diagnostic biomarkers.
Methods: Gene expression data from the GSE51981 dataset, containing 77 endometriosis and 34 control samples, were analyzed to detect differentially expressed genes (DEGs). The xCell algorithm was applied to estimate the infiltration levels of 64 immune and stromal cell types, focusing on B cells and naive B cells.
PLoS One
September 2025
Department of Neurology, Hospital Universitario Miguel Servet, Zaragoza, Spain.
Background: Stroke is a leading cause of death and disability globally, with frequent cognitive sequelae affecting up to 60% of stroke survivors. Despite the high prevalence of post-stroke cognitive impairment (PSCI), early detection remains underemphasized in clinical practice, with limited focus on broader neuropsychological and affective symptoms. Stroke elevates dementia risk and may act as a trigger for progressive neurodegenerative diseases.
View Article and Find Full Text PDFPLoS One
September 2025
Department of Gynecology and Obstetrics, University Hospital Ulm, Ulm, Germany.
Background: Current aftercare in breast cancer survivors aims to detect local recurrences or contralateral disease, while the detection of distant metastases has not been a central focus due to a lack of evidence supporting an effect on overall survival. However, the data underpinning these guidelines are mainly from trials of the 1980s/1990s and have not been updated to reflect the significant advancements in diagnostic and therapeutic options that have emerged over the past 40 years. In this trial, the aim is to test whether a liquid biopsy-based detection of (oligo-) metastatic disease at an early pre-symptomatic stage followed by timely treatment can impact overall survival compared to current standard aftercare.
View Article and Find Full Text PDFAnal Chem
September 2025
School of Chemistry and Chemical Engineering, Shandong University of Technology, Zibo 255049, PR China.
Pax-5a gene, as a nucleic acid biomarker closely associated with B-cell acute lymphoblastic leukemia (B-ALL), holds significant potential for early disease diagnosis. In this study, we developed a highly accurate and efficient "on-super on-off" photoelectrochemical (PEC) biosensor based on a dual-photoelectrode heterojunction system integrated with a multisphere cascade DNA amplification strategy. The designed heterojunction dual-photoelectrode platform, comprising a InO/CdS photoanode (on state) and an in situ-formed MIL-68(In)/InO (MIO) photocathode, effectively extends the electron-hole transport pathway, enhances photogenerated charge separation, and produces high-amplitude signal output (super on state), thereby providing a robust baseline for signal transduction.
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