Advancing Brain Research through Surface-Enhanced Raman Spectroscopy (SERS): Current Applications and Future Prospects.

Surface-enhanced Raman spectroscopy (SERS) has recently emerged as a potent analytical technique with significant potential in the field of brain research. This review explores the applications and innovations of SERS in understanding the pathophysiological basis and diagnosis of brain disorders. SERS holds significant advantages over conventional Raman spectroscopy, particularly in terms of sensitivity and stability. The integration of label-free SERS presents promising opportunities for the rapid, reliable, and non-invasive diagnosis of brain-associated diseases, particularly when combined with advanced computational methods such as machine learning. SERS has potential to deepen our understanding of brain diseases, enhancing diagnosis, monitoring, and therapeutic interventions. Such advancements could significantly enhance the accuracy of clinical diagnosis and further our understanding of brain-related processes and diseases. This review assesses the utility of SERS in diagnosing and understanding the pathophysiological basis of brain disorders such as Alzheimer's and Parkinson's diseases, stroke, and brain cancer. Recent technological advances in SERS instrumentation and techniques are discussed, including innovations in nanoparticle design, substrate materials, and imaging technologies. We also explore prospects and emerging trends, offering insights into new technologies, while also addressing various challenges and limitations associated with SERS in brain research.

Monogenic leptin deficiency in early childhood obesity.

BACKGROUND: Early childhood obesity is a public health problem worldwide. It affects different aspects of physical and mental child's health. Identifying the etiologies, especially treatable and preventable causes, can direct health professionals toward proper management. Analysis of serum leptin levels and leptin gene mutations is a rapid and easy step toward the diagnosis of congenital leptin deficiency that is considered an important cause in early childhood obesity. OBJECTIVES: The aim of this study was to diagnose monogenic leptin deficiency in Egyptian children presenting with early onset obesity (EOO). METHODS: The current cross-sectional study included 80 children who developed obesity during the first year of life with BMI > 2 SD (for age and sex). The studied population was subjected to history taking, auxological assessment, serum leptin assay, and leptin gene sequencing. RESULTS: Ten cases had leptin deficiency (12.5%), while 18 cases showed elevated leptin levels (22.5%). Leptin gene variants in the coding region were identified in 30% of the leptin-deficient group: two novel homozygous disease-causing variants (c.104 T > G and c.34 delC) and another previously reported homozygous pathogenic variant (c.313C > T). CONCLUSION: Leptin deficiency is considered a significant cause of monogenic obesity in Egyptian children with early-onset obesity as the diagnosis of these patients would be a perfect target for recombinant leptin therapy.

Transforming Growth Factor Beta-1 in Human Breast Milk and Its Correlation with Infants' Parameters.

Background: Breastfeeding provides optimal nutrition and health protection for the infant; it contains many anti-inflammatory factors, including transforming growth factor beta-1 (TGF-ß1). Our study aimed to measure the level of TGF-ß1 in human milk and to find its correlation with some infant anthropometric characteristics. Subjects and Methods: A milk sample was collected from 84 mothers and the level of TGF-ß1 was measured using enzyme-linked immunosorbent assay. Results: TGF-ß1 was significantly higher in vegetarian mothers compared with nonvegetarian mothers (p = 0.044). Additionally, the mean value of breast milk TGF-ß1 was significantly higher in mothers using contraceptive pills compared with those who do not (p = 0.021). Also, the mean value of TGF-ß1 was significantly higher in infants 3-6 months than those <3 months (p = 0.010); also there was a significant difference regarding infants' weight and length with average weight and length (p = 0.042) and (p = 0.009), respectively. Conclusions: TGF-ß1 in human milk may play a role in infants' growth and development; mothers' diet is known to influence TGF-ß1 level and its relation to infants' age and weight. Contraceptive method could have an influence on TGF-ß1 levels during breastfeeding.

Role of circulating miR-182 and miR-150 as biomarkers for cirrhosis and hepatocellular carcinoma post HCV infection in Egyptian patients.

In Egypt, liver diseases are exceptionally high, maintaining the highest prevalence of hepatitis C virus (HCV) worldwide, and increasing rates of hepatocellular carcinoma (HCC). Available diagnostic methods show poor performance in early diagnosis of HCC. Definite pathogenic factors contributing in the development of HCV are still lacking. MicroRNAs have been reported as promising biomarkers for cancers diagnosis and in virus-host interaction. This study was conducted to detect the role of miR-182 and miR-150 as biomarkers for development of cirrhosis and malignant transformation in HCV infected patients. The expression of miR-182 and miR-150 was evaluated using real-time quantitative PCR (qRT-PCR) in 120 subjects: 40 HCC patients, 40 hepatitis C patients (20 cirrhotic and 20 non-cirrhotic HCV genotype 4) and 40 healthy controls. In HCC, statistically significant decrease of miR-182 and miR-150 compared to non-cirrhotic HCV patients (p = 0.015, p = 0.006 respectively) and of miR-150 compared to controls (p = 0.039). In cirrhotic HCV patients, significant down regulation of miR-182 and miR-150 compared to non-cirrhotic HCV (p = 0.003, p = 0.024 respectively). On the other hand, significant upregulation of miR-182 was observed in non-cirrhotic HCV compared to controls (p = 0.036). Alpha-fetoprotein (AFP) showed sensitivity 15% for HCC diagnosis at the cut-off value of 400 ng/ml, while combining AFP with miR-182 and miR-150, resulted in improving sensitivity to (90%) and diagnostic accuracy to (80%). miR-182 and miR-150 can be used as non invasive biomarkers for HCC and combination of these miRNAs and AFP markedly improve the diagnosis of HCC. Both miR-182 and miR-150 can also be used as predictive markers for detection of cirrhosis progression in HCV infected patients.