Current Issue : January-March Volume : 2025 Issue Number : 1 Articles : 5 Articles
Biological therapies have revolutionized medical treatment by targeting the key mediators or receptors involved in inflammatory responses, thereby effectively suppressing inflammation and achieving beneficial outcomes. They are more advanced than conventional therapies using corticosteroids and immunosuppressants, offering effective solutions for autoimmune diseases, cancer, transplant rejection, and various infectious diseases, including coronavirus disease 2019. Although they exert low immunosuppressive effects, biological therapies can reactivate specific biological targets associated with infections. This review summarizes the currently available biological therapies and discusses their immunosuppressive mechanisms and clinical applications, highlighting the variations in the types and frequencies of infection recurrence induced by different biological agents. Additionally, this review describes the risk factors associated with various biological agents, thus aiding clinicians in selecting the most appropriate biological therapy....
Introduction: COVID-19 is an infection caused by the coronavirus 2 that causes respiratory syndrome (SARS-CoV-2). In pediatrics, the clinical forms have a primary effect. In the Democratic Republic of the Congo, in the province of Haut-Uélé, the pandemic of COVID-19 does not allow children to use the RDC coin to secure the payment of their votes to save the Sudan and Uganda. This set is based on the definition of the epidemiological profile. Materials and Methods: A retrospective transitional model, descriptive from January 1, 2021 to February 7, 2022, due on March 6. This includes all patients aged 0 - 19 years, suspected of COVID-19, confirmed by RT-PCR technology and charged by CTCO ISIRO and WATSA. We have different patient profiles and clinics. The donations to rescue services are part of the consultation records, the Information Sanitation System (SNIS) service and the DPS epidemiological surveillance commission. The analysis is carried out using SPSS (Statically Package for Social Sciences) logic. Version 18. Results: A vague 4-month period of money that has been stolen from this coin affects 5 ZS on the 13th, we have registered 569 cash, of which 45 children from 0 - 19 years, so it is 7.9%. This rate increases by 33.3% (15 cases). It takes 9.88 ± 5.49 seconds and the highest replenishment cell time is 10 - 14 seconds (44.45%). We noted a male predominance with a sex ratio (M/F) of 2.75. Half the workforce resides in the Santé de Watsa area. This pic will be posted next December and January. A tenth of the infections had comorbidities of various origins and almost half of the population had been in contact with known infections. The reasons for admission of frequent patients were dominated by fever, rhinorrhea, etc. Many of our patients have a high level of treatment. Conclusion: The proportion of pediatric infections caused by COVID-19 and CTCO in Haut-Uélé is effective and the tranche of the tree is more affected by adolescents of the same sex and more susceptible to symptoms. The motif of the consultation for more dominants includes the disease, rhinorrhea and others....
Background: Children with seasonal influenza infection cause a significant burden of disease each year in the pediatric clinic. Influenza A and B viruses are the major types responsible for illness. A better understanding of the periodicity facilitates the prevention and control of influenza in children. Objective: This study aims to analyze the epidemiological patterns and subtype characterization of influenza viruses among children in Shenzhen, China. Methods: Influenza samples were collected by nasopharyngeal swabs from influenza like illness patients in Shenzhen Children’s Hospital from January 2016 to December 2018. The positive cases and influenza subtypes were determined by gold labeled antigen detection and reverse transcriptase polymerase chain reaction. The influenza periodicity and age, subtype distribution as well as the association between climate parameters and different influenza subtypes were analyzed by SPSS 22.0. Results: The influenza positive rate during 2016-2018 was 21.0%, with a highest positive rate in the year 2018. The positive rate varied by month, season, and year describing a sequence of peaks presenting primarily in all year including spring, summer and winter. The characteristics of influenza peak were different in each year, with a spring peak in 2016 and a summer plus a winter-spring peaks in 2017 and 2018. In addition, influenza B exhibited a winter-spring seasonal pattern while influenza A displayed a more variable seasonality, highlighting influenza B rather than influenza A which had a negative association with climate parameters. Influenza- positive cases were older than influenza-negative cases (P < 0.05). Among those positive cases, inpatients were younger than outpatients (P < 0.05), and the age of influenza A patients was younger than those influenza B patients, highlighting hospitalization with influenza often occurred in younger individuals infected with influenza A. Conclusion: Influenza activity in children from Shenzhen typically displays both winter-spring and summer peaks. Influenza A epidemic occurred separately or co-circulated with influenza B, with a winter- spring pattern for influenza B and a much more variable seasonality for influenza A. Influenza B had a negative association with climate parameters. In addition, hospitalization with influenza often occurs in younger individuals infected with influenza A....
Alzheimer’s disease (AD) and Parkinson’s disease (PD) are two neurodegenerative diseases posing a significant disease burden due to their increasing prevalence and socio-economic cost. Traditional therapeutic approaches for these diseases exist but provide limited symptomatic relief without addressing the underlying pathologies. This review examines the potential of immunotherapy, specifically monoclonal antibodies (mAbs), as disease-modifying treatments for AD and PD. We analyze the pathological mechanisms of AD and PD, focusing on the roles of amyloid-beta (Aβ), tau (τ), and alpha-synuclein (α-syn) proteins. We discuss the latest advancements in mAb therapies targeting these proteins, evaluating their efficacy in clinical trials and preclinical studies. We also explore the challenges faced in translating these therapies from bench to bedside, including issues related to safety, specificity, and clinical trial design. Additionally, we highlight future directions for research, emphasizing the need for combination therapies, improved biomarkers, and personalized treatment strategies. This review aims to provide insights into the current state and future potential of antibody-based immunotherapy in modifying the course of AD and PD, ultimately improving patient outcomes and quality of life....
Background/Objectives: Survival prospects following SARS-CoV-2 infection may extend beyond the acute phase, influenced by various factors including age, health conditions, and infection severity; however, this topic has not been studied in detail. Therefore, within this study, the mortality risk post-acute COVID-19 in the CRIT-COV-U cohort was investigated. Methods: Survival data from 651 patients that survived an acute phase of COVID-19 were retrieved and the association between urinary peptides and future death was assessed. Data spanning until December 2023 were collected from six countries, comparing mortality trends with age- and sex-matched COVID-19-negative controls. A death prediction classifier was developed and validated using pre-existing urinary peptidomic datasets. Results: Notably, 13.98% of post- COVID-19 patients succumbed during the follow-up, with mortality rates significantly higher than COVID-19-negative controls, particularly evident in younger individuals (<65 years). These data for the first time demonstrate that SARS-CoV-2 infection highly significantly increases the risk of mortality not only during the acute phase of the disease but also beyond for a period of about one year. In our study, we were further able to identify 201 urinary peptides linked to mortality. These peptides are fragments of albumin, alpha-2-HS-glycoprotein, apolipoprotein A-I, beta-2-microglobulin, CD99 antigen, various collagens, fibrinogen alpha, polymeric immunoglobulin receptor, sodium/potassium-transporting ATPase, and uromodulin and were integrated these into a predictive classifier (DP201). Higher DP201 scores, alongside age and BMI, significantly predicted death. Conclusions: The peptide-based classifier demonstrated significant predictive value for mortality in post-acute COVID-19 patients, highlighting the utility of urinary peptides in prognosticating post-acute COVID-19 mortality, offering insights for targeted interventions. By utilizing these defined biomarkers in the clinic, risk stratification, monitoring, and personalized interventions can be significantly improved. Our data also suggest that mortality should be considered as one possible symptom or a consequence of post-acute sequelae of SARS-CoV-2 infection, a fact that is currently overlooked....
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