Monkeypox viral infection is considered as global public health and a rare disease caused by Monkeypox virus (MPXV), which is caused by smallpox-like virus and it causes pustules all over the body. MPV is an emerging zoonotic infection with sporadic occurrence globally and multiple outbreaks have been reported in African regions. The story of MPXV has been started since 1970 in Democratic republic of Cargo. The high cases of MPXV was majorly detected in Congo Rain Forest region in Africa. Animal-human (Zoonotic) transmission occurred, although the individual infected animal was not recognized. Human-human transmission occurs and is difficult until bodily fluids or respiratory droplets are exchanged. If a specific individual uses an infected person's towels or bed sheets, infection may occur. The aim of this review is to document the methods of diagnosis, treatments (vaccines) and future role of MPXV in human population. The diagnosis is confirmed mainly through clinical diagnosis and then laboratory diagnosis such as cell-culture, serological and Polymerase Chain Reaction tests. Presently, there is no vaccine for MPXV but the smallpox vaccine will protect. The old vaccine includes antivirals approved for use against Orthopoxvirus, such as tecovirimat, which can treat up to 85 % of MPXV in humans. MPXV is now considered as transmission virus which affects from human to humans. The fatality rate was documented to be 3–10 % in children and in adults it is very low. This review concludes MPXV is not as contagious as COVID-19 but proper measures should be taken as mentioned in this review to avoid MPXV. Presently, controlling MPXV presents unique challenges, and future prospective global studies in antivirals for this disease, as well as an MPXV vaccines, are recommended to eliminate this virus.

One and one only most unforgettable pandemic is coronavirus 2019 (COVID 19) which is the most memorable pandemic of the twenty-first century. The diagnosis of COVID19 is based on purely clinical symptoms and real time reverse transcription polymerase chain reaction (RT-PCR) test. The role of COVID19 during this pandemic was horrible in diagnosing the disease with RT-PCR as this disease was documented to be a symptomatic disease. Serum ferratin and D-dimer tests plays a major role in identifying the infections in the human body specifically, patients diagnosed with COVID19. Serum ferritin levels are important for an immune response mediator that rises in severe COVID-19 instances, and elevated ferritin levels may trigger a cytokine storm by exerting direct immunosuppressive and pro-inflammatory effects. d-dimer is used to identify the clots in the blood. COVID-19 patients were found to be clotting of blood and d-dimer is recommended. The blood of the COVID-19 patients were found to clotted than the patients were prescribed the anticoagulant Injections are prescribed. d-dimer can be used as a biomarker in the COVID-19 patients by measuring the d-dimer levels and analyse the mortality and severity. Pulmonary complication risk can also be identified. d-dimer is a mandatory and an essential test in the COVID-19. Numerous COVID-19 vaccines have been shown to have great efficacy levels through clinical trials. COVID-19 vaccines are not 100% effective, although the condition is mild or moderate and can be controlled if COVID-19 is affected. In this review, I have only included serum ferritin and d-dimer; however, C-reactive protein, vitamin D levels, and prolactin were also attributed to COVID-19. This review concludes the importance of RT-PCR, serum ferratin, and d-dimer testing in identifying COVID-19 infection in humans.

Perception of hub genes engaged in metastatic gastric cancer (mGC) promotes novel ways to diagnose and treat the illness. The goal of this investigation is to recognize the hub genes and reveal its molecular mechanism. In order to explore the potential facts for gastric cancer, the expression profiles of two different datasets were used (GSE161533 and GSE54129). The genes were confirmed to be part of the PPI network for gastric cancer pathogenesis and prognosis. In Cytoscape, the CytoHubba module was used to discover the hub genes. Responsible hub genes were identified. Data from KaplanMeier plotter confirmed the predictive value of these distinct genes in various stages of gastric malignancy. Upregulated and downregulated genes were identified to utilize for further analysis. Positive regulation by a host of viral process, positive regulation of granulocyte differentiation, negative regulation of histone H₃K₉ methylation were found in DEGs analysis. In addition, five KEGG pathways were identified as an essential enhancer that include nucleotide excision repair; base excision repair; DNA replication; homologous recombination; and complement and coagulation cascades. POLE, BUB1B, POLD4, C3, BLM, CCT7, PRPF31, APEX1, PSMA7, and CDC45 were chosen as hub genes after combining the PPI results. Our study recommends that BUB1B, CCT7, APEX1, PSMA7, and CDC45 might be potential biomarkers for gastric cancer. These biomarkers are upregulated genes. Therefore, suppression of these genes will increase the survival rate in gastric cancer patients.

Artificial intelligence (AI) and microbiome have emerged in recent years as transformative fields with far-reaching implications for various biomedical domains. This paper presents a comprehensive bibliometric analysis examining the intersection of AI and the microbiome (AIM). The study aims to provide information on this interdisciplinary fields research landscape, trends, and emerging topics. Using a systematic approach, data-driven studies were extracted from the Scopus database on 23 November 2023 and analyzed using the VOSviewer and Bibliometrix applications. The regression coefficient of 0.94 and the yearly growth rate of 7.46% in AIM production indicate a consistent increase over time. Identification of essential contributors, organizations, and nations illuminated cooperative networks and research hotspots. The trend themes are the gut microbiome, disease prediction, machine learning, transfer learning, categorization, big data, artificial neural networks, chronic rhinosinusitis, epidemiology, COPD, and bronchoalveolar lavage. These hot issues in AIM reflect the present emphasis on research and developments in our knowledge of the microbiomes function in health, sickness, and individualized treatment. The findings give researchers, policymakers, and industry experts a thorough picture of the research environment and guide future paths in AIMs fascinating and promising subject.

Background: Tacrolimus is a known immunosuppressive drug used widely for organ transplantation, but its nephrotoxicity mechanism is still unclear. Objectives: The present study investigates the protective efficacy of Bacopa monnieri (BM), against tacrolimus-induced nephrotoxicity in rats. Materials and Methods: Group 1 (control group); administered orally with normal saline for 30 days; Group 2 (BM extract treated group); Group 3 (tacrolimus-treated group); and Group 4; (tacrolimus plus BM extract treated group). Tacrolimus-treated rats received 1 mg/kg body weight of tacrolimus intraperitoneally for 30 days, and BM-pretreated rats were administered with the dose of 200 mg/kg orally by gavage once a day for 30 days. Results: Tacrolimus-induced nephrotoxicity was assessed biochemically and histopathologically. Pretreatment with BM has shown to possess a significant protective effect against tacrolimus-induced kidney functions regarding urea, creatinine, and albumin levels, respectively. The creatinine, mitochondrial lipid peroxidation (thiobarbituric acid reactive substances), and protein carbonyl levels were significantly increased dramatically, and however, the total proteins, albumin, glutathione, superoxide dismutase, and glutathione peroxidase were decreased when pretreated with tacrolimus. The nephroprotective efficacy of the BM extract was further evident by histopathological analysis and DNA fragmentation. Conclusion: The outcome of this study indicates that BM extracts exerted protection against tacrolimus-induced kidney toxicity. Abbreviations Used: ANOVA: Analysis of variance, BM: Bacopa monnieri, BUN: Blood urea nitrogen, DNPH: Dinitrophenylhydrazine, DPPH: 2,2-diphenyl-1-picrylhydrazyl, DSR: Deanship of Scientific Research, EOBPV: Egyptian Organization for Biological Products and Vaccines, GPx: Glutathione peroxidase, GSH: Glutathione, H and E: Hematoxylin and eosin, H₂O₂: Hydrogenperoxide, IAEC: Institutional Animals Ethics Committee, IC: Inhibitory concentration, Ip: Intraperitoneal, mLPO: Mitochondrial lipid peroxidation, Mn-SOD: Mn-superoxide dismutase, PC: Protein carbonyl, ROS: Reactive oxygen species.