Vaccine in response to COVID-19: Recent developments, challenges, and a way out

The effect of SARS-CoV-2 on the development of Parkinson's disease: the role of α-synuclein

The current coronavirus disease 2019 (COVID-19) can lead to various neurological complications in infected people. These neurological effects include problems in both central nervous system (CNS) and peripheral nervous system (PNS). Hyposmia, a PNS symptom of COVID-19, frequently manifests in the early stages of Parkinson's disease (PD) and serves as an early warning sign of the condition. In addition, the olfactory system is recognized as an early site for the onset of α-synuclein pathology, the pathological hallmark of PD. PD is characterized by accumulation and aggregation of misfolded α-synuclein (α-Syn) into Lewy bodies and Lewy neurites, resulting in the degeneration of dopaminergic neurons in substantia nigra pars compacta (SNpc). Previous research has also shown the involvement of α-Syn in the innate immune response following viral infections. Consequently, the potential link between viral infections and development of PD has gained attention in recent years. However, it's still too early to definitively conclude whether COVID-19 can cause Parkinsonism. Nevertheless, we can explore the likelihood of this connection by examining past studies and possible mechanisms to better understand how COVID-19 might potentially lead to PD following the infection. Based on the various pieces of evidence discussed in this review, we can infer that SARS-CoV-2 promotes the aggregation of α-Syn and, ultimately, leads to PD through at least two mechanisms: the stable binding of the S1 protein to proteins prone to aggregation like α-Syn, and the upregulation of α-Syn as part of the immune response to the infection.

Application of biosensors in cancers, an overview

The deadliest disease in the world, cancer, kills many people every year. The early detection is the only hope for the survival of malignant cancer patients. As a result, in the preliminary stages of, the diagnosis of cancer biomarkers at the cellular level is critical for improving cancer patient survival rates. For decades, scientists have focused their efforts on the invention of biosensors. Biosensors, in addition to being employed in other practical scenarios, can essentially function as cost effective and highly efficient devices for this purpose. Traditional cancer screening procedures are expensive, time-consuming, and inconvenient for repeat screenings. Biomarker-based cancer diagnosis, on the other hand, is rising as one of the most potential tools for early detection, disease progression monitoring, and eventual cancer treatment. As Biosensor is an analytical device, it allows the selected analyte to bind to the biomolecules being studied (for example RNA, DNA, tissue, proteins, and cells). They can be divided based on the kind of biorecognition or transducer elements on the sensor. Most biosensor analyses necessitate the analyte being labeled with a specific marker. In this review article, the application of distinct variants of biosensors against cancer has been described.

Lower limb arterial thrombosis followed by sub-massive pulmonary thromboembolism after Sinopharm BBIBP-CorV COVID-19 vaccination

The global COVID-19 vaccination had an undeniable influence on the pandemic management, despite of having reported rare but life-threatening side-effects of vaccines. Vaccine-induced immune thrombotic thrombocytopenia (VITT) is a rare autoimmune complication determined by thrombocytopenia and thrombosis propensity in the circulatory system. The activation of antibodies against platelet factor-4 (PF-4) which mimics the heparin-induced thrombocytopenia (HIT) characteristic is the main known pathogenicity of the disease. Herein, we reported a case of VITT in a middle-aged woman with no previous history of thrombophilia or other medical conditions who presented with thrombosis of the left superficial femoral artery 3-days after receiving the second dose of inactivated BBIBP-CorV (Sinopharm) vaccine. The patient underwent bypass vascular surgery and received none-heparin anticoagulation consistent with high-dose intravenous immunoglobin. Eight days after the discharge, she was subsequently referred to our center with the presentation of sub-massive pulmonary thromboembolism in spite of receiving the prophylactic anticoagulants during follow-up period. Details on side-effects of COVID-19 vaccines, specifically the inactivated ones are yet to be fully ascertained. Clinicians should consider the history of COVID-19 vaccines in thromboembolism patients who do not have well-acknowledged risk factors. Further studies about the necessity of prophylactic anticoagulants and clinical judgment for receiving other vaccines in such patients are required.

Anti-cancer activity of human gastrointestinal bacteria

Malignant neoplasm is one of the most incurable diseases among inflammatory diseases. Researchers have been studying for decades to win over this lethal disease and provide the light of hope to humankind. The gastrointestinal bacteria of human hold a complex ecosystem and maintain homeostasis. One hundred trillion microbes are residing in the gastrointestinal tract of human. Disturbances in the microbiota of human's gastrointestinal tract can create immune response against inflammation and also can develop diseases, including cancer. The bacteria of the gastrointestinal tract of human can secrete a variety of metabolites and bioproducts which aid in the preservation of homeostasis in the host and gut. During pathogenic dysbiosis, on the other hand, numerous microbiota subpopulations may increase and create excessive levels of toxins, which can cause inflammation and cancer. Furthermore, the immune system of host and the epithelium cell can be influenced by gut microbiota. Probiotics, which are bacteria that live in the gut, have been protected against tumor formation. Probiotics are now studied to see if they can help fight dysbiosis in cancer patients undergoing chemotherapy or radiotherapy because of their capacity to maintain gut homeostasis. Countless numbers of gut bacteria have demonstrated anti-cancer efficiency in cancer treatment, prevention, and boosting the efficiency of immunotherapy. The review article has briefly explained the anti-cancer immunity of gut microbes and their application in treating a variety of cancer. This review paper also highlights the pre-clinical studies of probiotics against cancer and the completed and ongoing clinical trials on cancers with the two most common and highly effective probiotics Lactobacillus and Bacillus spp.

Artificial intelligence and machine learning in precision and genomic medicine

The advancement of precision medicine in medical care has led behind the conventional symptom-driven treatment process by allowing early risk prediction of disease through improved diagnostics and customization of more effective treatments. It is necessary to scrutinize overall patient data alongside broad factors to observe and differentiate between ill and relatively healthy people to take the most appropriate path toward precision medicine, resulting in an improved vision of biological indicators that can signal health changes. Precision and genomic medicine combined with artificial intelligence have the potential to improve patient healthcare. Patients with less common therapeutic responses or unique healthcare demands are using genomic medicine technologies. AI provides insights through advanced computation and inference, enabling the system to reason and learn while enhancing physician decision making. Many cell characteristics, including gene up-regulation, proteins binding to nucleic acids, and splicing, can be measured at high throughput and used as training objectives for predictive models. Researchers can create a new era of effective genomic medicine with the improved availability of a broad range of datasets and modern computer techniques such as machine learning. This review article has elucidated the contributions of ML algorithms in precision and genome medicine.

Artificial intelligence and machine learning in precision and genomic medicine

The advancement of precision medicine in medical care has led behind the conventional symptom-driven treatment process by allowing early risk prediction of disease through improved diagnostics and customization of more effective treatments. It is necessary to scrutinize overall patient data alongside broad factors to observe and differentiate between ill and relatively healthy people to take the most appropriate path toward precision medicine, resulting in an improved vision of biological indicators that can signal health changes. Precision and genomic medicine combined with artificial intelligence have the potential to improve patient healthcare. Patients with less common therapeutic responses or unique healthcare demands are using genomic medicine technologies. AI provides insights through advanced computation and inference, enabling the system to reason and learn while enhancing physician decision making. Many cell characteristics, including gene up-regulation, proteins binding to nucleic acids, and splicing, can be measured at high throughput and used as training objectives for predictive models. Researchers can create a new era of effective genomic medicine with the improved availability of a broad range of datasets and modern computer techniques such as machine learning. This review article has elucidated the contributions of ML algorithms in precision and genome medicine.

An Overview of CAR T Cell Mediated B Cell Maturation Antigen Therapy

Multiple Myeloma (MM) is one of the incurable types of cancer in plasma cells. While immense progress has been made in the treatment of this malignancy, a large percentage of patients were unable to adapt to such therapy. Additionally, these therapies might be associated with significant diseases and are not always tolerated well in all patients. Since cancer in plasma cells has no cure, patients develop resistance to treatments, resulting in R/R MM (Refractory/Relapsed Multiple Myeloma). BCMA (B cell maturation antigen) is primarily produced on mature B cells. It's up-regulation and activation are associated with multiple myeloma in both murine and human models, indicating that this might be an effective therapeutic target for this type of malignancy. Additionally, BCMA's predictive value, association with effective clinical trials, and capacity to be utilized in previously difficult to observe patient populations, imply that it might be used as a biomarker for multiple myeloma. Numerous kinds of BCMA-targeting medicines have demonstrated antimyeloma efficacy in individuals with refractory/relapsed MM, including CAR T-cell (Chimeric antigen receptor T cell) treatments, ADCs (Antibody-drug conjugate s), bispecific antibody constructs. Among these medications, CART cell-mediated BCMA therapy has shown significant outcomes in multiple myeloma clinical trials. This review article outlines CAR T cell mediated BCMA medicines have the efficiency to change the therapeutic pattern for multiple myeloma significantly.