Sameeullah Memon

Tuberculosis (TB) is an infectious disease caused by Mycobacterium tuberculosis. Despite the improvements in diagnostic techniques, the accuracy of TB diagnosis is still low. In recent years, the development of artificial intelligence (AI) has opened up new possibilities in diagnosing and treating TB with high accuracy compared to traditional methods. Traditional diagnostic techniques, such as sputum smear microscopy, culture tests, and chest X-rays, are time-consuming, with less sensitivity for the detection of TB in patients. Due to the new developments in AI, advanced diagnostic and treatment techniques have been developed with high accessibility, speed, and accuracy. AI, including various specific methodologies, is becoming vital in managing TB. Machine learning (ML) methodologies, such as support vector machines (SVMs) and random forests (RF), alongside deep learning (DL) technologies, particularly convolutional neural networks (CNNs) for image analysis, are employed to analyze diverse patient data, including medical images and biomarkers, to enhance the accuracy and speed of tuberculosis diagnosis. This study summarized the benefits and drawbacks of both traditional and AI-driven TB diagnosis, highlighting how AI can support traditional techniques to increase early detection, lower misdiagnosis, and strengthen international TB control initiatives.

Hepatic encephalopathy and other neurodegenerative disorders have profound implications for extensive liver impairment, calling for new ways of treating the condition. The application of stem cell transplantation to treat these severe disorders is a new and encouraging technique. This review article digs deep into the subject of stem cell transplantation therapy, neurodegenerative disorders associated with advanced liver damage, and liver transplantation. It comprehensively analyses the background, rationale, scope, and objectives of using stem cells to treat such challenging conditions. The topic of discussion includes the subtleties of neurodegenerative disorders, the function of liver transplantation, and the possible advantages and disadvantages associated with it. The relevance of patient selection, intraoperative concerns and post-transplant care is discussed. Further, the article explores how stem cell-based therapies can benefit from nanotechnology, specifically how it can improve stem cell distribution, survival, and integration for better therapeutic results. This review aims to offer a thorough analysis of regenerative medicine’s present and future possibilities in dealing with the intricate relationship between neurodegeneration and liver damage. It does this by examining the efficacy, safety, and long-term impacts of stem cell transplantation in treating neurodegenerative disorders associated with advanced liver damage. This will incorporate insights from ongoing clinical trials, the patent landscape, and future directions. The goal is to pave the way for innovative and personalized treatment approaches in this evolving research and clinical practice field. Therefore, these efforts represent a promising frontier in medical research that can alleviate the burden of HE and associated neurological complications combined with liver cirrhosis.

Prion disorders are fatal infectious diseases that are caused by a buildup of pathogenic prion protein (PrP^Sc) in susceptible mammals. According to new findings, the shadow of prion protein (Sho) encoded by the shadow of prion protein gene (SPRN) is associated with prion protein (PrP), promoting the progression of prion diseases. Although genetic polymorphisms in SPRN are associated with susceptibility to several prion diseases, genetic polymorphisms in the rabbit SPRN gene have not been investigated in depth. We discovered two novel single nucleotide polymorphisms (SNPs) in the leporine SPRN gene on chromosome 18 and found strong linkage disequilibrium (LD) between them. Additionally, strong LD was not found between the polymorphisms of PRNP and SPRN genes in rabbits. Furthermore, nonsynonymous SNPs that alter the amino acid sequences within the open reading frame (ORF) of SPRN have been observed in prion disease-susceptible animals, but this is the first report in rabbits. As far as we are aware, this study represents the first examination of the genetic features of the rabbit SPRN gene.

Bovine spongiform encephalopathy (BSE) is a fatal disease in cattle caused by misfolded prion proteins and linked to indel polymorphisms in the promoter and intron 1 of the PRNP gene. The aim of this study was to determine the allele, genotype, and haplotype frequencies of PRNP indel polymorphisms and to investigate the effect of PRNP gene expressions of 23 bp and 12 bp indels via polymerase chain reaction (PCR) in Zhongdian Yak (Bos-grunniens) (YK), Zhongdian Yellow cattle (Bos-taurus) (YC), and Zhongdian Yakow (Bos-primigenius taurus × Bos-grunniens) (PK). Resultant high allelic frequencies were found in 23− and 12+, while haplotype frequencies were very low in 23+/12 in YK, YC, and PK. PRNP expression was higher in the +−/−− diplotype of the PK and (mean ± SE) was 3.6578 ± 1.85964. Furthermore, two variable sites were investigated—a 23 bp indel polymorphism holding AP1 binding site and a 12 bp indel polymorphism holding SP1 binding site. Additionally, reporter gene assays revealed a link between two proposed transcription factors and lower expression levels of the +/+ allele compared with the −/− allele. The expression level of PRNP was shown to be dependent on two indel polymorphisms in the bovine PRNP promoter, which includes binding sites for RP58 and SP1 transcription factors. These findings raised the possibility that the PRNP genotype may contribute to the high variation in PRNP expression.