Surface-enhanced Raman spectroscopy for analysis of PCR products of viral RNA of hepatitis C patients

Rafiq, Sidra; Majeed, Muhammad Irfan; Nawaz, Haq; Rashid, Nosheen; Yaqoob, Umer; Batool, Fatima; Bashir, Saba; Akbar, Saba; Abubakar, Muhammad; Ahmad, Shamsheer; Ali, Saqib; Kashif, Mohammad; Amin, Imran

doi:10.1016/j.saa.2021.119908

Cited by 15 publications

(4 citation statements)

References 51 publications

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“…The study highlighted the interdisciplinary nature of HCV cases, as evidenced by the diverse origins of referred patients from various hospital wards. A significant number of referrals from the Pulmonary ward, in particular, suggests a potential intersection between respiratory complications and HCV, necessitating an integrated approach to patient care that spans multiple specialties (18,19). The contrast in patient outcomes between wards, with the Pulmonary ward exhibiting higher mortality rates and the Nephrology ward Figure 2 Hospital Stay and Age Correction demonstrating a higher incidence of patient recovery, emphasizes the heterogeneity of HCV impacts across different medical contexts (19).…”

Section: Discussionmentioning

confidence: 99%

Liver Insights: Probing Molecular Signatures of Hepatitis C Patients in Hospitals of Lahore- Navigating the Clinical Landscape of Viral Infection and Organ Profiling

Batool,

Shujayat,

Sana

et al. 2024

JHRR

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Background: Hepatitis C virus (HCV) infection is a major public health problem, leading to chronic liver diseases, cirrhosis, and hepatocellular carcinoma. The disease burden is particularly high in developing countries, with significant gender disparities and varied outcomes across different clinical settings. Objective: The study aimed to assess the prevalence of HCV infections, analyze the clinical correlation of demographic factors with patient outcomes, and examine the age-related duration of hospital stays in a Pakistani cohort. Methods: A cross-sectional retrospective study was conducted on 230 symptomatic liver patients from three major hospitals in Lahore. Inclusion criteria were based on HCV-related liver conditions, excluding post-liver transplant patients. Data on viral load detections were obtained via semi-automated RT-PCR with commercially available kits. Statistical analysis was performed using SPSS version 25 and GraphPad Prism 9.0 to determine frequency distributions, cross-tabulation analyses, and Pearson correlation coefficients. Results: Out of the 230 patients, 69% (158) were male, and 31% (72) were female. Age distribution showed 36.7% (58) of males were over 60 years, and 63.3% (100) under 60 years; 55.6% (40) of females were over 45 years, with 44.4% (32) under 45 years. Most referrals came from the Pulmonary ward (35%), followed by the Surgery (30%) and Gastroenterology (20%) wards. HCV RNA detection was positive in 67% (154) of the patients. Cross-tabulation analysis indicated a mortality rate of 39% in the Pulmonary ward. A significant positive correlation (r=0.494, p<0.000) was observed between patient age and days of hospital stay. Conclusion: The study demonstrates a higher prevalence of HCV in males and a notable age-related impact on the duration of hospitalization. Interdisciplinary approaches and gender-sensitive healthcare interventions are essential for effective HCV management.

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Section: Discussionmentioning

confidence: 99%

Liver Insights: Probing Molecular Signatures of Hepatitis C Patients in Hospitals of Lahore- Navigating the Clinical Landscape of Viral Infection and Organ Profiling

Batool,

Shujayat,

Sana

et al. 2024

JHRR

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“…Several studies have performed AgNPs-based SERS analyses of HCV-positive samples and the viral RNA extracted from them, comparing these with samples from healthy donors. A Principal Component Analysis was performed and a Partial Least Square Regression Analysis model was developed for predicting HCV viral load with a 99% accuracy [70][71][72]. The LOD for HCV RNA samples via SERS is 2.55 log IU/mL.…”

Section: Application Of Smart Phones and Machine Learning In Hbv And ...mentioning

confidence: 99%

The Advancement of Nanomaterials for the Detection of Hepatitis B Virus and Hepatitis C Virus

Shi,

Li,

Zhang

2023

Molecules

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Viral hepatitis is a global health concern mostly caused by hepatitis B virus (HBV) and hepatitis C virus (HCV). The late diagnosis and delayed treatment of HBV and HCV infections can cause irreversible liver damage and the occurrence of cirrhosis and hepatocellular carcinoma. Detecting the presence and activity of HBV and HCV is the cornerstone of the diagnosis and management of related diseases. However, the traditional method shows limitations. The utilization of nanomaterials has been of great significance in the advancement of virus detection technologies due to their unique mechanical, electrical, and optical properties. Here, we categorized and illustrated the novel approaches used for the diagnosis of HBV and HCV.

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“…[70] with Copyright (2018) by American Chemical Society quantification of the viral load [86]. Further, the limit-ofdetection (LOD) for viral particles was determined via SERS using an in vitro blood spiking experiment [87][88][89][90][91]. The resulting LOD curve was applied to detect and differentiate Hepatitis B and C infected patients from the healthy donors [87][88][89][90][91].…”

Section: Detection Of Viral Loadmentioning

confidence: 99%

“…Further, the limit-ofdetection (LOD) for viral particles was determined via SERS using an in vitro blood spiking experiment [87][88][89][90][91]. The resulting LOD curve was applied to detect and differentiate Hepatitis B and C infected patients from the healthy donors [87][88][89][90][91]. Nasir et al used a SERS-based approach to quantify viral loads of human papilloma virus (HPV) in blood samples by investigating the extracted RNA [90] and Santos et al quantified the viral load of dengue virus serotype 3 (DENV-3) in plasma and blood samples using ATR FTIR spectroscopy [92].…”

Section: Detection Of Viral Loadmentioning

confidence: 99%

Understanding viruses and viral infections by biophotonic methods

Ramoji

Pahlow

Pistiki

et al. 2022

Transl Biophotonics

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In the last few decades outbreaks of viral infections have often challenged the world‐wide health infrastructure and caused a significant financial burden as well as human suffering despite progress in diagnostic technologies. The recent outbreaks of the Ebola virus in the African continent, the Zika virus in the American continent, severe acute respiratory syndrome (SARS), Middle East respiratory syndrome (MERS), influenza A and lately severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) viral infections have repeatedly highlighted the importance of technological advancement enabling a better understanding of virions. In this review, we systematically discuss different aspects of virions and how their properties and functions can be studied using different light‐based technologies. We focus on virion classification, detection and interactions with the host's immune system. Further, the potential of advanced biophotonic methods, for example, Raman, infrared reflection, absorption and fluorescence spectroscopy, advanced microscopic techniques and biosensor‐based approaches for diagnosing viral infections, investigating therapeutics and vaccine development are described. Although significant advancements have already been made in photonic technologies, which even enable visualizing virion‐host interactions on single‐cell level, the continuous evolution of viruses demands further progress in biophotonic solutions for fast, affordable and robust health monitoring devices for screening viral infections.

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Surface-enhanced Raman spectroscopy for analysis of PCR products of viral RNA of hepatitis C patients

Cited by 15 publications

References 51 publications

Liver Insights: Probing Molecular Signatures of Hepatitis C Patients in Hospitals of Lahore- Navigating the Clinical Landscape of Viral Infection and Organ Profiling

Liver Insights: Probing Molecular Signatures of Hepatitis C Patients in Hospitals of Lahore- Navigating the Clinical Landscape of Viral Infection and Organ Profiling

The Advancement of Nanomaterials for the Detection of Hepatitis B Virus and Hepatitis C Virus

Understanding viruses and viral infections by biophotonic methods

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