Genetic screening of liver cancer:State of the art

Liver cancer,primarily hepatocellular carcinoma,remains a global health challenge with rising incidence and limited therapeutic options.Genetic factors play a pivotal role in the development and progression of liver cancer.This state-of-the-art paper provides a comprehensive review of the current landscape of genetic screening strategies for liver cancer.We discuss the genetic underpinnings of liver cancer,emphasizing the critical role of risk-associated genetic variants,somatic mutations,and epigenetic alterations.We also explore the intricate interplay between environmental factors and genetics,highlighting how genetic screening can aid in risk stratification and early detection via using liquid biopsy,and advancements in high-throughput sequencing technologies.By synthesizing the latest research findings,we aim to provide a comprehensive overview of the state-of-the-art genetic screening methods for liver cancer,shedding light on their potential to revolutionize early detection,risk assessment,and targeted therapies in the fight against this devastating disease.

Autoantibodies related to ataxia and other central nervous system manifestations of gluten enteropathy

Gluten ataxia and other central nervous system disorders could be linked to gluten enteropathy and related autoantibodies.In this narrative review,we focus on the various neuro-logical manifestations in patients with gluten sensitivity/celiac disease,immunological and autoimmune mechanisms of ataxia in connection to gluten sensitivity and the autoantibodies that could be used as a biomarker for diagnosing and following.We focused on the anti-gliadin antibodies,antibodies to different isoforms of tissue transglutaminase(TG)(anti-TG2,3,and 6 antibodies),anti-glycine receptor antibodies,anti-glutamine acid decarboxylase antibodies,anti-deamidated gliadin peptides antibodies,etc.Most studies found a higher prevalence of these antibodies in patients with gluten sensitivity and neurological dysfunction,presented as different neurological disorders.We also discuss the role of a gluten-free diet on the clinical improvement of patients and also on imaging of these disorders.

Controversies regarding transplantation of mesenchymal stem cells

Mesenchymal stem cells(MSCs)have tantalized regenerative medicine with their therapeutic potential,yet a cloud of controversies looms over their clinical tran-splantation.This comprehensive review navigates the intricate landscape of MSC controversies,drawing upon 15 years of clinical experience and research.We delve into the fundamental properties of MSCs,exploring their unique immuno-modulatory capabilities and surface markers.The heart of our inquiry lies in the controversial applications of MSC transplantation,including the perennial debate between autologous and allogeneic sources,concerns about efficacy,and lingering safety apprehensions.Moreover,we unravel the enigmatic mechanisms surro-unding MSC transplantation,such as homing,integration,and the delicate balance between differentiation and paracrine effects.We also assess the current status of clinical trials and the ever-evolving regulatory landscape.As we peer into the future,we examine emerging trends,envisioning personalized medicine and innovative delivery methods.Our review provides a balanced and informed perspective on the controversies,offering readers a clear understanding of the complexities,challenges,and potential solutions in MSC transplantation.

Artificial intelligence as a tool in drug discovery and development

The rapidly advancing field of artificial intelligence(AI)has garnered substantial attention for its potential application in drug discovery and development.This opinion review critically examined the feasibility and prospects of integrating AI as a transformative tool in the pharmaceutical industry.AI,encompassing machine learning algorithms,deep learning,and data analytics,offers unprecedented opportunities to streamline and enhance various stages of drug development.This opinion review delved into the current landscape of AI-driven approaches,discussing their utilization in target identification,lead optimization,and predictive modeling of pharmacokinetics and toxicity.We aimed to scrutinize the integration of large-scale omics data,electronic health records,and chemical informatics,highlighting the power of AI in uncovering novel therapeutic targets and accelerating drug repurposing strategies.Despite the considerable potential of AI,the review also addressed inherent challenges,including data privacy concerns,interpretability of AI models,and the need for robust validation in realworld clinical settings.Additionally,we explored ethical considerations surrounding AI-driven decision-making in drug development.This opinion review provided a nuanced perspective on the transformative role of AI in drug discovery by discussing the existing literature and emerging trends,presenting critical insights and addressing potential hurdles.In conclusion,this study aimed to stimulate discourse within the scientific community and guide future endeavors to harness the full potential of AI in drug development.

Long-term effectiveness,outcomes and complications of bariatric surgery

Dietary imbalance and overeating can lead to an increasingly widespread disease-obesity.Aesthetic considerations aside,obesity is defined as an excess of adipose tissue that can lead to serious health problems and can predispose to a number of pathological changes and clinical diseases,including diabetes;hypertension;atherosclerosis;coronary artery disease and stroke;obstructive sleep apnea;depression;weight-related arthropathies and endometrial and breast cancer.A body weight 20%above ideal for age,gender and height is a severe health risk.Bariatric surgery is a set of surgical methods to treat morbid obesity when other treatments such as diet,increased physical activity,behavioral changes and drugs have failed.The two most common procedures currently used are sleeve gastrectomy and gastric bypass.This procedure has gained popularity recently and is generally considered safe and effective.Although current data show that perioperative mortality is low and better control of comorbidities and short-term complications is achieved,more randomized trials are needed to evaluate the long-term outcomes of bariatric procedures.This review aims to synthesize and summarize the growing evidence on the long-term effectiveness,outcomes and complications of bariatric surgery.

Effectiveness and safety of COVID-19 vaccines in patients with oncological diseases:State-of-the-art

Although the coronavirus disease 2019(COVID-19)pandemic was declared to be no longer“a public health emergency of international concern”with its wide range of clinical manifestations and late complications,severe acute respiratory syndrome coronavirus 2 infection proved to be a serious threat,especially to the elderly and patients with comorbidities.Patients with oncologic diseases are vulnerable to severe infection and death.Indeed,patients with oncohematological diseases have a higher risk of severe COVID-19 and impaired post-vaccination immunity.Unfortunately,cancer patients are usually excluded from vaccine trials and investigations of post-vaccinal immune responses and the effectiveness of the vaccines.We aimed to elucidate to what extent patients with cancer are at increased risk of developing severe COVID-19 and what is their overall case fatality rate.We also present the current concept and evidence on the effectiveness and safety of COVID-19 vaccines,including boosters,in oncology patients.In conclusion,despite the considerably higher mortality in the cancer patient group than the general population,countries with high vaccination rates have demonstrated trends toward improved survival of cancer patients early and late in the pandemic.

Islet transplantation-immunological challenges and current perspectives

Pancreatic islet transplantation is a minimally invasive procedure aiming to reverse the effects of insulin deficiency in patients with type 1 diabetes(T1D)by transplanting pancreatic beta cells.Overall,pancreatic islet transplantation has improved to a great extent,and cellular replacement will likely become the mainstay treatment.We review pancreatic islet transplantation as a treatment for T1D and the immunological challenges faced.Published data demonstrated that the time for islet cell transfusion varied between 2 and 10 h.Approximately 54%of the patients gained insulin independence at the end of the first year,while only 20%remained insulin-free at the end of the second year.Eventually,most transplanted patients return to using some form of exogenous insulin within a few years after the transplantation,which imposed the need to improve immunological factors before transplantation.We also discuss the immunosuppressive regimens,apoptotic donor lymphocytes,anti-TIM-1 antibodies,mixed chimerism-based tolerance induction,induction of antigen-specific tolerance utilizing ethylene carbodiimide-fixed splenocytes,pretransplant infusions of donor apoptotic cells,B cell depletion,preconditioning of isolated islets,inducing local immunotolerance,cell encapsulation and immunoisolation,using of biomaterials,immunomodulatory cells,etc.

Applications of time series analysis in epidemiology: Literature review and our experience during COVID-19 pandemic

Time series analysis is a valuable tool in epidemiology that complements the classical epidemiological models in two different ways:Prediction and forecast.Prediction is related to explaining past and current data based on various internal and external influences that may or may not have a causative role.Forecasting is an exploration of the possible future values based on the predictive ability of the model and hypothesized future values of the external and/or internal influences.The time series analysis approach has the advantage of being easier to use(in the cases of more straightforward and linear models such as Auto-Regressive Integrated Moving Average).Still,it is limited in forecasting time,unlike the classical models such as Susceptible-Exposed-Infectious-Removed.Its applicability in forecasting comes from its better accuracy for short-term prediction.In its basic form,it does not assume much theoretical knowledge of the mechanisms of spreading and mutating pathogens or the reaction of people and regulatory structures(governments,companies,etc.).Instead,it estimates from the data directly.Its predictive ability allows testing hypotheses for different factors that positively or negatively contribute to the pandemic spread;be it school closures,emerging variants,etc.It can be used in mortality or hospital risk estimation from new cases,seroprevalence studies,assessing properties of emerging variants,and estimating excess mortality and its relationship with a pandemic.