The COVID-19 pandemic constitutes an arduous global health challenge, and the increasing number of fatalities calls for the speedy pursuit of a remedy. This review emphasizes the changing aspects of the COVID-19 disease, featuring the cytokine storm’s pathological processes. Furthermore, we briefly reviewed potential therapeutic agents that may modulate and alleviate cytokine storms. The literature exploration was made using PubMed, Embase, MEDLINE, Google scholar, and China National Knowledge Infrastructure databases to retrieve the most recent literature on the etiology, diagnostic markers, and the possible prophylactic and therapeutic options for the management of cytokine storm in patients hospitalized with COVID-19 disease. The causative agent, severe acute respiratory coronavirus-2 (SARS-CoV-2), continually threatens the efficiency of the immune system of the infected individuals. As the first responder, the innate immune system provides primary protection against COVID-19, affecting the disease’s progression, clinical outcome, and prognosis. Evidence suggests that the fatalities associated with COVID-19 are primarily due to hyper-inflammation and an aberrant immune function. Accordingly, the magnitude of the release of pro-inflammatory cytokines such as interleukin (IL)-1, (IL-6), and tumor necrosis alpha (TNF-α) significantly differentiate between mild and severe cases of COVID-19. The early prediction of a cytokine storm is made possible by several serum chemistry and hematological markers. The prompt use of these markers for diagnosis and the aggressive prevention and management of a cytokine release syndrome is critical in determining the level of morbidity and fatality associated with COVID-19. The prophylaxis and the rapid treatment of cytokine storm by clinicians will significantly enhance the fight against the dreaded COVID-19 disease.

Over the past few decades, probiotics have emerged as a viable medical tool for preventing and/or treating diseases. This narrative review provides recent findings on Probiotics and their benefits on the host immune system. It also highlights the specific mechanisms through which probiotics mediate those benefits. The study also explores the topical or systemic probiotic administration method. Authors screened databases like Google Scholar, Web of Science, PubMed, Scopus, and China National Knowledge Infrastructure database, using various keyword combinations such as: “probiotic” AND “Immunomodulation” OR “probiotic” AND “Immunoregulation” OR “probiotic” AND “Immunostimulation”, for relevant literature written in English only. The review shows that probiotics can regulate the host immune system, including regulating T cells, dendritic cells, intestinal epithelial cells, and several signal pathways, and confer health benefits. Although several clinical trials also revealed the prospects and efficacy of probiotics as immunomodulators and treatment of diseases, there is a need for thorough future investigations on the effectiveness of specific strains of probiotics involved in immunomodulation.

The outbreak of pneumonia caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), later named COVID-19 by the World Health Organization (WHO), was initiated at Wuhan, Hubei, China, and there was a rapid spread of novel SARS-CoV-2 and the disease COVID-19 in late 2019. The entire world is now experiencing the challenge of COVID-19 infection. However, still very few evidence-based treatment options are available for the prevention and treatment of COVID-19 disease. The present review aims to summarize the publicly available information to give a comprehensive yet balanced scientific overview of all the fat-soluble vitamins concerning their role in SARS-CoV-2 virus infection. The roles of different fat-soluble vitamins and micronutrients in combating SARS-CoV-2 infection have been recently explored in several studies. There are various hypotheses to suggest their use to minimize the severity of COVID-19 infection. These vitamins are pivotal in the maintenance and modulation of innate and cell-mediated, and antibody-mediated immune responses. The data reported in recent literature demonstrate that deficiency in one or more of these vitamins compromises the patients’ immune response and makes them more vulnerable to viral infections and perhaps worse disease prognosis. Vitamins A, D, E, and K boost the body’s defense mechanism against COVID-19 infection and specifically prevent its complications such as cytokine storm and other inflammatory processes, leading to increased morbidity and mortality overemphasis. However, more detailed randomized double-blind clinical pieces of evidence are required to define the use of these supplements in preventing or reducing the severity of the COVID-19 infection.

Malignant tumors, characterized by uncontrolled cell proliferation, are a leading global health challenge, responsible for over 9.7 million deaths in 2022, with new cases expected to rise to 35 million annually by 2050. Immunotherapy is preferred to other cancer therapies, offering precise targeting of malignant cells while simultaneously strengthening the immune system’s complex responses. Advances in this novel field of science have been closely linked to a deeper knowledge of tumor biology, particularly the intricate interplay between tumor cells, the immune system, and the tumor microenvironment (TME), which are central to cancer progression and immune evasion. This review offers a comprehensive analysis of the molecular mechanisms that govern these interactions, emphasizing their critical role in the development of effective immunotherapeutic products. We critically evaluate the current immunotherapy approaches, including cancer vaccines, adoptive T cell therapies, and cytokine‐based treatments, highlighting their efficacy and safety. We also explore the latest advancements in combination therapies, which synergistically integrate multiple immunotherapeutic strategies to overcome resistance and enhance therapeutic outcomes. This review offers key insights into the future of cancer immunotherapy with a focus on advancing more effective and personalized treatment strategies.

Graft tolerance is a pathophysiological condition heavily reliant on the dynamic interaction of the innate and adaptive immune systems. Genetic polymorphism determines immune responses to tissue/organ transplantation, and intricate humoral and cell-mediated mechanisms control these responses. In transplantation, the clinician's goal is to achieve a delicate equilibrium between the allogeneic immune response, undesired effects of the immunosuppressive drugs, and the existing morbidities that are potentially life-threatening. Transplant immunopathology involves sensitization, effector, and apoptosis phases which recruit and engages immunological cells like natural killer cells, lymphocytes, neutrophils, and monocytes. Similarly, these cells are involved in the transfer of normal or genetically engineered T cells. Advances in tissue transplantation would involve a profound knowledge of the molecular mechanisms that underpin the respective immunopathology involved and the design of precision medicines that are safe and effective.

Computational chemistry plays a critical role in advancing molecular science by bridging theoretical frameworks and experimental observations. It provides detailed insight into the structural, electronic, and reactive properties of molecules and materials. This article examines recent developments that are influencing the direction of the field, with a focus on the integration of quantum chemistry (QC), molecular mechanics (MM), and machine learning (ML) into cohesive modeling strategies. The objective is to assess how these combined approaches are improving the accuracy of simulations, informing molecular design, and contributing to progress in areas such as drug discovery, catalysis, and materials engineering. The review covers core methodologies including ab initio quantum mechanical calculations, hybrid quantum mechanics/molecular mechanics (QM/MM) models, and classical MD techniques. It also discusses emerging advances in data-driven models and neural network-based potentials. More attention is given to recent studies (2018–2025) that demonstrate how these techniques complement one another in addressing complex chemical systems. The analysis shows that combining quantum methods with ML enhances electronic structure predictions, while molecular mechanics provides efficient, large-scale modeling of structural and energetic properties across diverse environments, especially when coupled with simulation techniques such as molecular dynamics or Monte Carlo. In synergy, these tools support the construction of more robust and scalable models, narrowing the gap between computational results and laboratory findings. The article concludes by outlining the expanding influence of integrated computational approaches and their potential to drive innovation across scientific disciplines.