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Introduction: The envelope proteins syncytin-1 and pHERV-W from the Human Endogenous Retroviral family 'W' (HERV-W) have been identified as potential risk factors in multiple sclerosis (MS). This study aims to evaluate both humoral and cell-mediated immune response to antigenic peptides derived from these proteins across different clinical forms and inflammatory phases of MS.

Methods: Indirect enzyme-linked immunosorbent assay (ELISA) was employed to measure immunoglobulin G (IgG) responses to syncytin-1 and pHERV-W peptides in MS patients.

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Unlabelled: Iron deficiency anaemia (IDA) makes an individual prone to bacterial infections. The antimicrobial defence mechanism of neutrophils is orchestrated by Nicotinamide Adenine Dinucleotide Phosphate Hydrogen (NADPH) oxidative burst which is iron-dependent. The few previous studies documenting a decrease in neutrophil oxidative burst in iron-deficient children have been based mainly on the Nitro blue tetrazolium test (NBT).

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Objective: This study investigated the effects of early treatment and pathophysiology on eosinophilic granulomatosis with polyangiitis neuropathy (EGPA-N).

Methods: Twenty-six consecutive patients with EGPA-N were diagnosed and treated within a day of admission and underwent clinical analysis. Peripheral nerve recovery rates were evaluated after early treatment by identifying the damaged peripheral nerve through detailed neurological findings.

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The ongoing COVID-19 pandemic has triggered extensive research, mainly focused on identifying effective therapeutic agents, specifically those targeting highly pathogenic SARS-CoV-2 variants. This study aimed to investigate the antiviral efficacy and anti-inflammatory activity of herbal extracts derived from and , using a Golden Syrian hamster model infected with Delta, a representative variant associated with severe COVID-19. Hamsters were intranasally inoculated with the SARS-CoV-2 Delta variant and orally administered either vehicle control, , or extract at a dosage of 1000 mg/kg/day.

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Background: Pancreatic cancer remains one of the deadliest malignancies, largely due to its late diagnosis and lack of effective therapeutic targets.

Materials And Methods: Using traditional machine learning methods, including random-effects meta-analysis and forward-search optimization, we developed a robust signature validated across 14 publicly available datasets, achieving a summary AUC of 0.99 in training datasets and 0.

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