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Past few decades have emerged as the era of nanotechnology worldwide leading to an extensive research in pharmaceutical science as well as other fields. Nanoformulations have shown a promising future in therapeutics and theronostics. Protein based nanoformulations attracting attention in research as it can be used as therapeutics as well as carrier. Carrier based protein nanoformulatios are capable of accommodating range of therapeutics such as dyes, drugs, contrast agents and inorganic nanoclusters makings its application vast. The nano size of formulation enables it to reach the desired places by some modification. This paper reviewed the various protein based nanoformulation. Human serum albumin, Bovine serum albumin, soy protein isolate, phycocyanin, casein, bromelein, collagen and sericin based nanoformulations are briefly discussed. Various limitations of these proteins can be diminished by developing it in nano form and emerged as promising candidate as carrier as well as therapeutics in drug delivery advancements.
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http://dx.doi.org/10.1055/a-1127-2960 | DOI Listing |
Eur J Med Res
September 2025
Department of Zoology, Faculty of Science, Ain Shams University, Abbassia, Cairo, 11566, Egypt.
Nuclear receptors (NRs) are a superfamily of ligand-activated transcription factors that regulate gene expression in response to metabolic, hormonal, and environmental signals. These receptors play a critical role in metabolic homeostasis, inflammation, immune function, and disease pathogenesis, positioning them as key therapeutic targets. This review explores the mechanistic roles of NRs such as PPARs, FXR, LXR, and thyroid hormone receptors (THRs) in regulating lipid and glucose metabolism, energy expenditure, cardiovascular health, and neurodegeneration.
View Article and Find Full Text PDFGenome Biol
September 2025
Department of Evolutionary Genetics, Max-Planck Institute for Evolutionary Biology, Plön, Germany.
Background: Most RNA-seq datasets harbor genes with extreme expression levels in some samples. Such extreme outliers are usually treated as technical errors and are removed from the data before further statistical analysis. Here we focus on the patterns of such outlier gene expression to investigate whether they provide insights into the underlying biology.
View Article and Find Full Text PDFBMC Infect Dis
September 2025
Department of Cell and Molecular Biology, Uppsala University, Uppsala, Sweden.
Background: Escherichia coli ST131 and clade H30Rx are the most prevalent extended-spectrum β-lactamase-producing E. coli (ESBL-EC) causing bacteremia and urinary tract infections globally and in Sweden. Previous studies have linked ST131-H30Rx with septic shock and mortality, as well as prolonged carriage.
View Article and Find Full Text PDFImmun Ageing
September 2025
Department of Biomedical Data Sciences, Molecular Epidemiology, LUMC, Leiden, The Netherlands.
The MetaboHealth score is an indicator of physiological frailty in middle aged and older individuals. The aim of the current study was to explore which molecular pathways co-vary with the MetaboHealth score. Using a Luminex cytokine assay and liquid chromatography-mass spectrometry-based proteomics we explored the plasma proteins associating with the difference in 100 extreme scoring individuals selected from two large population cohorts, the Leiden Longevity Study (LLS) and the Rotterdam Study (RS), and discordant monozygotic twin pairs from the Netherlands Twin Register (NTR).
View Article and Find Full Text PDFGenome Biol
September 2025
Center for Genomic Medicine, Cardiovascular Research Center, , Massachusetts General Hospital Simches Research Center, 185 Cambridge Street, CPZN 5.238,, Boston, MA, 02114, USA.
Background: Rare genetic variation provided by whole genome sequence datasets has been relatively less explored for its contributions to human traits. Meta-analysis of sequencing data offers advantages by integrating larger sample sizes from diverse cohorts, thereby increasing the likelihood of discovering novel insights into complex traits. Furthermore, emerging methods in genome-wide rare variant association testing further improve power and interpretability.
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