Label-free visualization of unfolding and crosslinking mediated protein aggregation in nonenzymatically glycated proteins.

Nonenzymatic glycation (NEG) unfolds and crosslinks proteins, resulting in aggregation. Label-free evaluation of such structural changes, without disturbing molecular integrity, would be beneficial for understanding the fundamental mechanisms of protein aggregation. The current study demonstrates the assessment of NEG-induced protein aggregation by combining autofluorescence (AF) spectroscopy and imaging. The methylglyoxal (MG) induced protein unfolding and the formation of cross-linking advanced glycation end-products (AGEs) leading to aggregation were evaluated using deep-UV-induced-autofluorescence (dUV-AF) spectroscopy in proteins with distinct structural characteristics. Since the AGEs formed on proteins are fluorescent, the study demonstrated the possibility of autofluorescence imaging of NEG-induced protein aggregates. Autofluorescence spectroscopy can potentially reveal molecular alterations such as protein unfolding and cross-linking. In contrast, AGE-based autofluorescence imaging offers a means to visually explore the structural arrangement of aggregates, regardless of whether they are amyloid or non-amyloid in nature.

Assessing Breast Cancer through Tumor Microenvironment Mapping of Collagen and Other Biomolecule Spectral Fingerprints─A Review.

Breast cancer is a major challenge in the field of oncology, with around 2.3 million cases and around 670,000 deaths globally based on the GLOBOCAN 2022 data. Despite having advanced technologies, breast cancer remains the major type of cancer among women. This review highlights various collagen signatures and the role of different collagen types in breast tumor development, progression, and metastasis, along with the use of photoacoustic spectroscopy to offer insights into future cancer diagnostic applications without the need for surgery or other invasive techniques. Through mapping of the tumor microenvironment and spotlighting key components and their absorption wavelengths, we emphasize the need for extensive preclinical and clinical investigations.

A comprehensive review of protein misfolding disorders, underlying mechanism, clinical diagnosis, and therapeutic strategies.

INTRODUCTION: Proteins are the most common biological macromolecules in living system and are building blocks of life. They are extremely dynamic in structure and functions. Due to several modifications, proteins undergo misfolding, leading to aggregation and thereby developing neurodegenerative and systemic diseases. Understanding the pathology of these diseases and the techniques used to diagnose them is therefore crucial for their effective management . There are several techniques, currently being in use to diagnose them and those will be discussed in this review. AIM/OBJECTIVES: Current review aims to discuss an overview of protein aggregation and the underlying mechanisms linked to neurodegeneration and systemic diseases. Also, the review highlights protein misfolding disorders, their clinical diagnosis, and treatment strategies. METHODOLOGY: Literature related to neurodegenerative and systemic diseases was explored through PubMed, Google Scholar, Scopus, and Medline databases. The keywords used for literature survey and analysis are protein aggregation, neurodegenerative disorders, Alzheimer's disease, Parkinson's disease, systemic diseases, protein aggregation mechanisms, etc. DISCUSSION /CONCLUSION: This review summarises the pathogenesis of neurodegenerative and systemic disorders caused by protein misfolding and aggregation. The clinical diagnosis and therapeutic strategies adopted for the management of these diseases are also discussed to aid in a better understanding of protein misfolding disorders. Many significant concerns about the role, characteristics, and consequences of protein aggregates in neurodegenerative and systemic diseases are not clearly understood to date. Regardless of technological advancements, there are still great difficulties in the management and cure of these diseases. Therefore, for better understanding, diagnosis, and treatment of neurodegenerative and systemic diseases, more studies to identify novel drugs that may aid in their treatment and management are required.

A comprehensive review on LED-induced fluorescence in diagnostic pathology.

Sensitivity, specificity, mobility, and affordability are important criteria to consider for developing diagnostic instruments in common use. Fluorescence spectroscopy has been demonstrating substantial potential in the clinical diagnosis of diseases and evaluating the underlying causes of pathogenesis. A higher degree of device integration with appropriate sensitivity and reasonable cost would further boost the value of the fluorescence techniques in clinical diagnosis and aid in the reduction of healthcare expenses, which is a key economic concern in emerging markets. Light-emitting diodes (LEDs), which are inexpensive and smaller are attractive alternatives to conventional excitation sources in fluorescence spectroscopy, are gaining a lot of momentum in the development of affordable, compact analytical instruments of clinical relevance. The commercial availability of a broad range of LED wavelengths (255-4600 nm) has opened up new avenues for targeting a wide range of clinically significant molecules (both endogenous and exogenous), thereby diagnosing a range of clinical illnesses. As a result, we have specifically examined the uses of LED-induced fluorescence (LED-IF) in preclinical and clinical evaluations of pathological conditions, considering the present advancements in the field.

Probing nonenzymatic glycation of proteins by deep ultraviolet light emitting diode induced autofluorescence.

The suitability of deep-UV-LED (285 nm) as an excitation source to induce autofluorescence in nonenzymatically glycated proteins has been reported for the first time in this study. Non-enzymatically glycated proteins show high autofluorescence when excited with deep-UV light, i.e., deep-UV-induced autofluorescence (deep-UV-IAF). Multiple autofluorescence peaks of nonenzymatically glycated proteins between 300 and 600 nm when excited using the deep-UV-LED revealed structural and biochemical modifications. The partial unfolding of proteins in which Tryptophan (Trp) is either absent (e.g., RibonucleaseA) or the emission maxima of Trp is insensitive to nonenzymatic glycation (e.g., Human Serum Albumin and Bovine Serum Albumin) were elucidated using their Tyrosine (Tyr) emission (λem = ~320 nm). Also, the deep-UV-LED-induced autofluorescence (deep-UV-LED-IAF) is shown to detect and track a wide range of clinically relevant advanced glycation end-products (AGEs) such as Pentosidine (λem = ~380 nm), Argpyrimidine (λem = ~395 nm), Vesperlysine C (λem = ~405 nm), Vesperlysine A/B (λem = ~440 nm), Crossline (λem = ~480 nm), and Arginine derived AGEs (λem = ~525 nm) which is also supported by the chemometric analysis (PCA). The relevance of Trp/Tyr makeup of proteins in tracking AGEs using deep-UV-IAF has been carefully examined with proteins such as RibonucleaseA (RNaseA:zero Trp and six Tyr), Human Serum Albumin (HSA: one Trp and eighteen Tyr), Bovine Serum Albumin (BSA: two Trp and twenty Tyr) and Hemoglobin (Hb: four Trp and twelve Tyr). The Molecular Dynamic (MD) simulation revealed a high root-mean-square deviation (RMSD: 4.6 Å) and an increased average distance between Tyr residues and Trp214 (23.2 Å) in methylglyoxal (MG) treated HSA. This confirms the MG-induced protein unfolding and decreased fluorescence resonance energy transfer (FRET) from Tyr to Trp (Tyr â†’ Trp). The study also used systematic steady-state and time-resolved fluorescence (TRF) to explain the sudden decrease in AGEs specific fluorescence intensity and lifetime at higher concentrations of MG due to inter-AGEs FRET.