Reviews on Recent Clinical Trials - Online First
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Calcium Sulfate as a Local Antibiotic Delivery Vehicle in Chronic Osteomyelitis Following Internal Fixation: A Prospective Case Series
Available online: 25 September 2025More LessIntroductionChronic osteomyelitis is a complex and persistent orthopedic infection. Antibiotic-loaded calcium sulfate (CS) has promoted the eradication of infection and bone regeneration. To evaluate the early and mid-term clinical outcomes of antibiotic-impregnated CS in the management of chronic osteomyelitis following internal fixation.
MethodsA prospective interventional case series included (n=15) patients with chronic osteomyelitis treated at Al Yarmouk Teaching Hospital. The patient's medical, surgical history, and physical examination were recorded. Additionally, patients' inflammatory markers and microbiological culture from sinus discharge. Imaging was performed to classify the type of infection according to the Cierny and Mader classification. All patients underwent extensive surgical debridement and implantation of CS loaded with vancomycin or tobramycin, and systemic antibiotics were administered according to culture results. Patients were followed up for 1 year to assess functional scores and infection eradication.
ResultsThe mean age was 36.86±9.41 years, with 66.7% male and 33.3% female. Tibia was involved in (46.7%). Methicillin-Resistant Staphylococcus Aureus was isolated in (66.67%) of all cases. After a one-year follow-up, all cases achieved infection resolution. Functional scores improved significantly, from 26.8 to 64.2 (P < 0.001).
DiscussionAntibiotic-loaded CS as an adjuvant to surgical debridement and systemic antibiotics shows promising results with higher rates of infection eradication and significant functional improvement.
ConclusionsUsing CS loaded with antibiotics as complementary therapy with systemic antibiotics demonstrated significant infection control and functional recovery in patients with chronic osteomyelitis following internal fixation during the early and mid-term follow up. Future studies need a larger sample and a longer follow up.
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Cybersecurity, Research Data Management (RDM), and Regulatory Compliance in Clinical Trials
Available online: 12 September 2025More LessIntroductionThe intersection of drug discovery and cybersecurity is becoming critical as the pharmaceutical sector adopts digital technologies to drive research and development. Drug discovery entails extensive collaboration and large volumes of data, making it highly susceptible to cyberattacks. Emerging technologies, such as big data analytics, artificial intelligence (AI), and cloud computing, hold significant innovation potential but also pose risks to the industry that can undermine intellectual property (IP), clinical trial results, and collaborative research. This review discusses the importance of cybersecurity in the drug discovery process. The focus is on determining major threats, defining best practices for protecting sensitive information, and ensuring compliance with regulatory requirements. The objective is to highlight the strategic significance of cybersecurity practices in protecting research integrity and fostering innovation.
MethodsThe review-based approach is employed to analyze present-day trends in drug discovery cybersecurity. Emerging technologies, security issues, regulatory needs, and the security controls most frequently utilized in the industry, such as encryption, multi-factor authentication, and secure data sharing, are discussed in the chapter.
ResultsThe pharmaceutical sector has advanced significantly in securing sensitive research information through robust cybersecurity measures. However, the vulnerabilities remain for cloud security as well as for protecting AI models. Adhering to the regulatory guidelines of GDPR (General Data Protection Regulation) and HIPAA (Health Insurance Portability and Accountability Act) remains a concern as international norms evolve.
DiscussionAs digital technologies transform drug discovery, cybersecurity has become crucial in protecting sensitive data and intellectual property rights. Strengthening compliance with evolving regulations is key to ensuring safety and innovative pharmaceutical research.
ConclusionCybersecurity is critical in preserving the integrity of drug discovery. With the increasing adoption of digital technologies, pharmaceutical firms must implement robust cybersecurity measures to protect sensitive information, ensure compliance, and foster innovation in a secure environment.
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Leveraging Artificial Intelligence for Data Integrity, Transparency, and Security in Technology-enabled Improvements to Clinical Trial Data Management in Healthcare
Authors: Virendra S. Gomase, Arjun P. Ghatule, Rupali Sharma and Satish SardanaAvailable online: 26 August 2025More LessIntroductionThe management of clinical trial data is an essential component of medical research, where accuracy, security, and transparency directly impact the validity of outcomes. However, conventional methods often face challenges in maintaining data integrity and compliance with regulatory standards. The transformative role of Artificial Intelligence (AI) in enhancing these aspects by leveraging machine learning and analytics offers promising capabilities to improve data validation, detect inconsistencies, and secure sensitive information, thereby increasing credibility among researchers, participants, and regulators. The aim of this study is to explore the transformative potential of artificial intelligence in enhancing clinical trial data management. It specifically investigates whether AI can improve data integrity, transparency, and security, thus making the results credible to the researcher, participant, and regulatory bodies involved.
MethodsThe study employs machine learning algorithms and advanced analytics to investigate the role of AI in identifying data anomalies, verifying the accuracy of information, and validating data processes. Case studies and real-world applications are presented to highlight how AI enables real-time monitoring, reporting, and verification of regulatory compliance. It also analyzes encryption and access control systems powered by AI, ensuring that sensitive clinical trial data is protected against breaches and unlawful access.
ResultsThe findings demonstrate that AI significantly streamlines the management of clinical trial data through automated data validation processes, the detection of inconsistent data, and the capability for real-time data monitoring. AI encryptions and access control systems minimize data security risks to safeguard sensitive information. Case studies demonstrate that transparency, regulatory compliance, and stakeholder trust improve when AI is integrated into clinical trial processes.
DiscussionThe study shows AI significantly enhances clinical trial data management through automated validation, real-time monitoring, and anomaly detection. Throughout the trial process, these capabilities reduce errors, ensure regulatory compliance, and improve transparency. Additionally, AI-driven encryption and access control systems offer robust protection against data breaches, reinforcing participant confidentiality and stakeholder trust. Case study analysis demonstrates that AI not only streamlines data workflows but also fosters greater confidence in trial outcomes, signaling a shift toward more efficient, secure, and credible AI-enabled clinical trials.
ConclusionThe study highlights the potential of AI to revolutionize the management of clinical trial data with aspects such as data integrity, transparency, and security. The incorporation of AI ensures the credibility of trial outcomes among all stakeholders. This study advocates for a paradigm shift toward AI-enabled clinical trials, shedding light on the revolutionary approach it proposes for healthcare data management practices.
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Unlocking the Power of mRNA: Pioneering a New Era in Therapeutic Innovation and Precision Medicine
Authors: Sandeep Kumar, Rohit Bhatia and Rajesh Kumar SinghAvailable online: 26 August 2025More Less
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Emerging Technology of Pharmaceutical Compliance: Role of Automation Tools in Regulatory Affairs for Clinical Trials
Authors: Virendra S. Gomase, Rupali Sharma and Satish SardanaAvailable online: 18 August 2025More LessBackgroundThe pharmaceutical industry operates within a complex regulatory environment, requiring strict compliance with global guidelines. Regulatory affairs (RA) departments are pivotal in ensuring drug approvals and compliance. However, the increasing complexity and volume of regulatory requirements have put a strain on traditional processes, driving the adoption of automation tools to streamline these operations.
ObjectiveThis review aims to explore the key automation tools used in regulatory affairs, focusing on their role in streamlining submissions, ensuring compliance, centralizing data, and reducing human error. It also aims to examine the emerging technologies in the field and their potential for enhancing automation.
MethodsA comprehensive review of current automation tools in regulatory affairs was conducted. The key tools explored include Submission Management Systems (SMS), Regulatory Information Management (RIM) systems, Electronic Document Management Systems (EDMS), and Regulatory Intelligence Tools. Additionally, the role of emerging technologies like Artificial Intelligence (AI) and Machine Learning (ML) in automating regulatory processes was evaluated.
ResultsAutomation tools such as SMS, RIM, EDMS, and Regulatory Intelligence Tools have been found to significantly improve the efficiency of regulatory affairs operations. These tools streamline submissions, centralize data, and ensure compliance. AI and ML technologies further enhance automation by enabling predictive analytics and automating risk assessments. Despite the advantages, challenges remain, including high implementation costs, data security concerns, and the need to adapt to varying global regulations. However, overcoming the challenges and limitations associated with these technologies in adopting regulatory automation is crucial.
DiscussionThis study highlights that automation tools are important for modernizing regulatory affairs by improving efficiency, accuracy, and compliance. The integration of Artificial Intelligence (AI) and Machine Learning (ML) adds predictive and adaptive capabilities, transforming static processes into dynamic systems. These technologies hold immense potential to reshape regulatory operations globally.
ConclusionAutomation tools are becoming essential in the pharmaceutical industry to maintain regulatory compliance, reduce time-to-market, and manage the increasing complexity of drug development in a globalized industry. As emerging technologies like AI, ML, and blockchain continue to evolve, they promise to further revolutionize regulatory affairs processes.
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Efficacy of a Preparation based on Symbiotic Association Between Inulin, FOS, L. rhamnosus GG, Bromelin, Boswellia, Vitamin D3, Quercetin and L-tryptophan in Mild-to-Moderate Ulcerative Colitis: A Pilot Retrospective Multicenter Study
Available online: 07 August 2025More LessIntroductionProbiotics and prebiotics have shown promise in Ulcerative Colitis (UC) through effects on gut homeostasis and barrier integrity. We investigated the efficacy of a symbiotic preparation containing inulin, fructo-oligosaccharides (FOS), Lactobacillus rhamnosus GG, bromelin, boswellia, vitamin D3, quercetin, and L-tryptophan in patients with active mild-to-moderate UC.
Material and MethodsThis was a multicenter, retrospective, observational study conducted between January and June 2023. Disease activity was assessed using the Partial Mayo Score (PMS). Patients were evaluated at baseline, 8 weeks, and 16 weeks. The primary endpoint was clinical response, defined as a PMS reduction of ≥2 points. Secondary endpoints included changes in C-Reactive Protein (CRP), Fecal Calprotectin (FC), and safety outcomes.
ResultsSeventeen patients (8 males, 9 females) were enrolled. The median age at diagnosis was 48 years (IQR: 20–80), and the median disease duration was 10 years (IQR: 2-23). Clinical response was observed in 9/17 (52%) patients at week 8 and in 11/17 (64%) at week 16 (p = 0.697). The CRP values did not change significantly at follow-up. FC decreased significantly from baseline [252 µg/g (IQR: 76–359)] to week 8 [98 µg/g (IQR: 20–448), p < 0.02], but not at week 16. No adverse events were reported.
DiscussionThe symbiotic mixture demonstrated potential as an add-on therapy in UC, with favorable short-term effects on FC. However, the lack of sustained biomarker changes highlights the need for further studies.
ConclusionThis preliminary study suggests that supplementation with the evaluated symbiotic preparation is safe and may improve clinical outcomes in mild-to-moderate UC. Larger randomized controlled trials are required to validate these findings and assess long-term efficacy.
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Association of Anti-SS-A Antibodies with Lupus Nephritis in Patients with Glomerulonephritis
Authors: Sabahat Sarfaraz, Sabiha Anis, Muhammad Tassaduq Khan, Ambreen Fatima and Rana MuzaffarAvailable online: 07 August 2025More LessIntroductionAnti-SS-A antibodies (anti-SS-A) are the most prevalent anti-extractable nuclear antibody (ENA). Glomerulonephritis (GN), characterized by intraglomerular inflammation and cellular proliferation, is the leading cause of end-stage renal failure. The association of anti-SS-A in various types of GN is not well established in the literature. The documented role of anti-SS-A in lupus nephritis (LN) is controversial; some studies did not mention any significant association, whereas others recognized them as potentially pathogenic. This study aimed to determine the association of anti-SS-A in patients suffering from various GN and its significance in LN patients.
MethodsThis cross-sectional study evaluated 200 GN patients for the presence of anti-dsDNA and anti-ENA antibodies via indirect immunofluorescence (IFA) and Immunoblot assays, respectively. All patients had anti-cell antibodies in their sera, which were evaluated with the help of IFA using the HEp-2 cell line as substrate. Data was analyzed using SPSS software version 20. P-value ≤ 0.05 was considered statistically significant.
ResultsAnti-dsDNA were found in 56(28%) whereas anti-ENA in 94(47%) patients. Anti-SS-A was the most common anti-ENA, which was isolated in 58(29%) patients. In the anti-ENA positive group, single antigen specificity was present in 55 (58.5%) patients, whereas more than one antigen specificity was seen in 39 (41.5%) patients. Out of 58 patients with anti-SS-A antibodies majority presented with nephrotic syndrome 44 (76%), and most of them 51 (88%) had a clinical diagnosis of Lupus Nephritis (LN). Majority patients 31 (53%) also had another anti-ENA along with anti-SS-A (P = 0.05). 24 (41.4%) patients also had anti-dsDNA along with anti-SS-A. In the enrolled GN patients, anti-SS-A antibodies were found to be significantly associated with anti-SS-B and anti-Ribosomal P protein antibodies.
DiscussionAlthough anti-SS-A are most prevailing anti-ENA, however their presence in GN patients needs special consideration to rule out an underlying autoimmune disorder. Previous studies have highlighted the pathogenic potential of anti-SS-A in GN patients. The results of this study are in agreement with these studies, as most of the GN patients with anti-SS-A were later on diagnosed as LN. These findings suggest that anti-SS-A may contribute to the disease pathogenesis. However, larger studies in various ethnic populations are needed to confirm these results for adequate patient management.
ConclusionThe study results predict pathogenic potential of anti-SS-A in GN patients. As the majority of patients were diagnosed as LN, GN patients with anti-SS-A antibodies need special consideration to rule out LN for adequate management
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Somatic Mutations Profiling in Genes Other than BRCA and TP53 Increasing Breast Carcinoma Risk Among Pakistani Patients
Authors: Yasir Nawaz, Saba Munir, Fouzia Tanvir, Hafiza Fizzah Riaz, Aqeela Nawaz and Samreen RiazAvailable online: 31 July 2025More LessIntroductionBreast cancer is a very common disease affecting females on a global scale. It is responsible for approximately 10% of breast cancer-related fatalities. In 2022, approximately 2,308,897 new cases were reported globally. Recent studies focused on breast tumors have successfully recognized somatic mutations. This study aimed to identify previously unidentified somatic mutations in breast cancer patients belonging to Pakistan.
MethodsThe breast tumor sample was obtained from Jinnah Hospital, Lahore. The DNA was extracted, and whole-exome sequencing was conducted on six samples.
ResultsGene mutations found include 58.69% synonymous SNV, 28.37% nonsynonymous SNV, 3.89% Frameshift deletion, 6.68% Nonframeshift deletion, 2.09% stopgain, and 0.28% stop loss. Among 39 genes analyzed, the prevalence of gene mutations varied, with HYDIN (100%), ENTHD1 (33.33%), ADRA1B (66.67%), GATA3 (50%), CDH1 (16.67%), RB1 (50%), MAP3K1 (100%), EGFR (50%), TRPM6 (33.33%), KHDRBS1 (33.33%), RBM25 (66.67%), SF3B3 (50%), TEK (16.67%), PGK2 (33.33%), CBFB (33.33%), ARID1A (66.67%), KMT2C (100%), HECTD1 (100%), LAMA3 (66.67%), FLG2 (83.33%), UGT2B4 (16.67%), STK33 (66.67%), ACP4 (50%), DNAH8 (100%), TNN (66.67%), IGSF3 (100%), TRIM67 (83.33%), DNMBP (100%), CORO7 (16.67%), CDC27 (33.33%), ZNF544 (50%), MST1 (16.67%), DENND2A (33.33%), NCKAP5 (50%), PCDHB10 (50%), FBXW7 (50%), EIF4G3 (66.67%), IL12RB2 (50%), and PDE4B (50%).
DiscussionBreast cancer is a fatal disease. The high frequency of synonymous mutations was observed. The HYDIN, MAP3K1, KMT2C, HECTD1, DNAH8, IGSF3, DNMBP genes were 100% mutated then other genes.
ConclusionThis study unveils new somatic alterations in different genes among early-onset Pakistani breast cancer patients, offering valuable insights for drug design targeting breast carcinoma.
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Establishment of Automated Biobanking Systems: Technical Considerations
Available online: 31 July 2025More LessBiobanks, repositories of biological samples and associated data, are crucial for advancing our understanding of disease biology. They facilitate long-term sample storage while enabling efficient retrieval for research. However, traditional biobanking practices often struggle to maintain sample quality and uniformity due to repetitive handling and temperature fluctuations during storage and retrieval. The advent of high-throughput “-omics” technologies has further amplified the operational demands on biobanks, necessitating increased scale and agility. Automation offers a solution to these challenges, enabling biobanks to meet the demands of modern research while preserving sample integrity. This review explores the key considerations for establishing an automated biobank, including design principles, essential components, and integration strategies. We discuss various automated storage and retrieval systems, liquid handling platforms, and environmental monitoring tools. Furthermore, we examine the impact of automation on sample quality, data management, and overall biobank efficiency. This review aims to provide a comprehensive overview of automated biobanking, highlighting its potential to revolutionize research and personalized medicine.
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Impact of Lifestyle Modification Counselling by the Tajik Method on Hormonal Profiles and Pregnancy Rates in Women with POI: A Randomized Controlled Trial at Fatemieh Hospital, Hamadan, 2024
Available online: 28 July 2025More LessIntroductionReduction in the quantity and quality of ova during the reproductive period of women is a physiological phenomenon. However, in some women, the deterioration of the ovaries occurs suddenly, and they experience infertility due to premature ovarian failure. This study aimed to explore the correlation between Primary ovarian insufficiency (POI) and the pregnancy rate of women in relation to the Tajik lifestyle modification diet.
MethodsIn this clinical randomized controlled trial study conducted in 2023, 72 infertile couples were randomly assigned to two groups, control and intervention. The intervention group received Tajik counseling sessions. In cases of normal distribution, the ANCOVA test was used to evaluate the difference between the two groups, and within-group comparisons were made using a paired t-test, while between-group comparisons were made using an independent t-test. A significance level of less than 0.05 was considered.
ResultsIn comparison to the control group, women with POI exhibited notably lower levels of follicle-stimulating hormone, luteinizing hormone, and prolactin, along with higher anti-mullein levels. Within the intervention group, there were 17 successful pregnancies, two miscarriages, and 14 instances of improved menstrual status, resulting in a pregnancy rate of 52.7%.
DiscussionAfter receiving lifestyle modification advice using the Tajik method, women with POI experienced improvements in their FSH, LH, AMH, and PRL hormone levels, leading to an increase in their pregnancy rate.
ConclusionAccording to the results of the present study, the use of the Tajik method is recommended to help treat POI.
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Systematic Review on Clinical Trial Regulations: Perspectives from India, USA, and Europe
Authors: Simran Dixit, Navneet Sharma and Vikesh Kumar ShuklaAvailable online: 23 July 2025More LessIntroductionThe pharmaceutical industry has undergone significant regulatory evolution, particularly in India, with the replacement of Schedule Y by the New Drugs and Clinical Trial (NDCT) Rules. These changes reflect India’s commitment to ensuring the efficacy, safety, and quality of drugs while aligning with global standards.
MethodsTo conduct the literature search for the review, we employed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach from 2013 to 2024 for selecting titles and abstracts. The following keywords were used: Clinical Trial Regulations, CDSCO, FDA, and EMA. Further, the databases, such as Medline, PubMed, Embase, and Scopus, were explored for the searches.
ResultsThe clinical trial framework of India, overseen by the Central Drugs Standard Control Organization (CDSCO), emphasizes expedited approval pathways, ethical oversight by Institutional Ethics Committees (IECs), and cost-effectiveness. Its large and diverse patient pool, along with adherence to Good Clinical Practice (GCP) standards, makes it attractive for multinational trials. Regulatory reforms, such as mandatory trial registration and digital initiatives, further enhance transparency and efficiency.
DiscussionWhile India shares common ground with the USA and Europe on many regulatory aspects, it stands out for its efficient processes and accessibility, positioning itself as a key hub for global clinical research. Comparisons reveal India’s focus on improving efficiency through digitalization and continuous reforms, underscoring its role in advancing clinical trial practices worldwide.
ConclusionThe regulatory evolution of India demonstrates a strong commitment to medical innovation, patient safety, and ethical standards, positioning it as a competitive player in global clinical research. Ongoing collaboration among industry, academia, and regulatory bodies is crucial for addressing emerging challenges and promoting a harmonized, patient-centric approach to clinical trials.
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The Effect of Group Counselling based on Mindfulness on the Perceived Stress of Pregnant Women with Gestational Diabetes Referring to the Comprehensive Health Service and Diabetes Center in Hamadan City in 2021: A Randomized Controlled Clinical Trial Study
Available online: 22 July 2025More LessIntroductionGestational diabetes mellitus (GDM) is a prevalent metabolic disorder that can occur during pregnancy, leading to various complications for both the mother and the fetus. Additionally, women with gestational diabetes are at a higher risk of experiencing mental health disorders. This study was conducted to investigate the impact of group counselling based on mindfulness on perceived stress in pregnant women with gestational diabetes, given the influence of cognitive-behavioral interventions such as mindfulness on stress and anxiety.
MethodsIn this research, 80 pregnant women diagnosed with gestational diabetes were randomly divided into two groups: an intervention and a control. Before the intervention, participants completed a questionnaire that included demographic and obstetric information as well as the Cohen Perceived Stress Questionnaire. The intervention group participated in 8 sessions of mindfulness counselling, with each session lasting between 45 and 60 minutes. Mindfulness sessions focused on emotion regulation. The control group did not receive any intervention. Participants completed the questionnaires one month after the initial intervention in the control group and right after the counselling ended in the intervention group.
ResultsThe mean score of perceived stress among pregnant women decreased significantly after the intervention (p ˂0.001). There was no difference in socio-demographic characteristics between the groups (p ˃0.05). After the intervention, the perceived stress levels of pregnant women significantly decreased compared to before (from 29.72 (5.33) to 26.10 (5.07)), and after the ANCOVA test, the difference was statistically significant (p ˂0.001).
ConclusionMindfulness-based counseling plays an important role in reducing the stress of pregnant women with gestational diabetes through increased awareness, and it can help them control disease conditions, reduce stress, and apply effective coping strategies for stress. Mindfulness-based counseling reduces the perceived stress of pregnant women and thus reduces adverse physical and psychological consequences during pregnancy.
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The Effect of Fatigue on Shoulder Proprioception: A Literature Review
Available online: 17 July 2025More LessRecent findings suggest that most sports-related injuries occur during the latter stages of these activities, often due to fatigue, which can impair proprioception and increase the risk of injury. Proprioception can be divided into three categories: joint position sense, the sense of movement (kinesthesia), and the sense of force reproduction. While several studies have examined how exercise-induced fatigue affects various aspects of proprioception on lower limb joints, research focusing on the shoulder joint is limited. This comprehensive review of the effects of exercise-induced fatigue on shoulder proprioception aims to summarize the latest evidence and inform practitioners in the fields of fitness and rehabilitation.
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Cloud Computing Facilitating Data Storage, Collaboration, and Analysis in Global Healthcare Clinical Trials
Authors: Virendra S. Gomase, Arjun P. Ghatule, Rupali Sharma, Satish Sardana and Suchita P. DhamaneAvailable online: 17 July 2025More LessIntroductionHealthcare data management, especially in the context of clinical trials, has been completely transformed by cloud computing. It makes it easier to store data, collaborate in real time, and perform advanced analytics across international research networks by providing scalable, secure, and affordable solutions. This paper explores how cloud computing is revolutionizing clinical trials, tackling issues including data integration, accessibility, and regulatory compliance.
Materials and MethodsKey factors assessed include cloud platform-enabled analytical tools, collaborative features, and data storage capacity. To ensure the safe management of sensitive healthcare data, adherence to laws like GDPR and HIPAA was emphasized.
ResultsReal-time updates and integration of multicenter trial data were made possible by cloud systems, which also showed notable gains in collaborative workflows and data sharing. High scalability storage options reduced infrastructure expenses while upholding security requirements. Rapid interpretation of complicated datasets was made possible by sophisticated analytical tools driven by machine learning and artificial intelligence, which expedited decision-making. Improved patient recruitment tactics and flexible trial designs are noteworthy examples.
ConclusionCloud computing has become essential for international clinical trials because it provides unmatched efficiency in data analysis, communication, and storage. It is a pillar of contemporary healthcare research due to its capacity to guarantee data security and regulatory compliance as well as its creative analytical capabilities. Subsequent research ought to concentrate on further refining cloud solutions to tackle new issues and utilizing their complete capabilities in clinical trial administration.
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Immunoinformatics Approach for Optimization of Targeted Vaccine Design: New Paradigm in Clinical Trials and Healthcare Management
Authors: Virendra S. Gomase, Rupali Sharma and Suchita P. DhamaneAvailable online: 16 July 2025More LessIntroductionThe immunoinformatics approach combines bioinformatics and computational tools, offering a revolutionary method for improving vaccine development by analyzing immune responses at the molecular level. Immunoinformatics enables the creation of customized vaccines designed for specific infections or cancer cells.
ObjectiveThe primary objective of immunoinformatics is to enhance the vaccine development process by predicting and boosting the body’s immune response. It aims to identify potential immunogenic epitopes and biomarkers that are important for creating vaccines with greater specificity and efficacy, especially when dealing with large-scale data.
MethodsImmunoinformatics utilizes a combination of proteomic, genomic, and epigenomic data, as well as machine learning algorithms and artificial intelligence techniques. These tools predict how various immunological components, e.g., T-cell and B-cell epitopes, interact with the immune system. This approach allows researchers to avoid traditional trial-and-error methods, enabling the efficient identification of potential vaccine candidates. Additionally, personalized vaccines can be developed by considering individual genetic and immunological characteristics.
ResultsThe use of immunoinformatics techniques accelerates the screening of vaccine candidates, enhances patient stratification, and optimizes formulations for clinical trials. This approach has been shown to improve vaccine safety, efficacy, and development speed. It also holds promise for managing healthcare on a large scale by producing vaccines tailored to specific populations, thereby improving the overall effectiveness of vaccination programs.
ConclusionImmunoinformatics represents a transformative approach to vaccine research, improving clinical trial efficiency and enabling the development of more reliable, flexible, and personalized vaccines. This approach has the potential to significantly enhance global healthcare outcomes by accelerating the vaccine development process and optimizing vaccination strategies.
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Topical Application of Olive Oil in Preventing Pressure Injuries Among Hospitalized Patients with Mobility Limitations: A Cluster Randomized Trial in the United Arab Emirates
Available online: 07 July 2025More LessIntroductionPressure injuries (PIs) pose a significant threat to the safety of hospitalized, mobility-compromised patients globally. Olive oil has shown promising results in preventing PIs due to its high concentrations of monounsaturated fatty acids and phenol antioxidants, known for their anti-inflammatory and cell-protective properties. This study aimed to evaluate the effectiveness of topical olive oil combined with routine preventive interventions in reducing PI incidence.
MethodsA single-blinded, cluster-randomized study was conducted among 80 hospitalized patients at risk of developing PIs. Participants were randomized into two clusters: the intervention group (IVG, n=40) received standard PI preventive care (skin assessment, repositioning, support surfaces) plus topical olive oil application for 7 consecutive days; the control group (CG, n=40) received only standard care. PI prevalence and Braden Scale scores were assessed at baseline and post-intervention (days 3-8). Data were analyzed using descriptive statistics and paired sample t-tests.
ResultsAt baseline, both groups had a PI prevalence of 52.5% (n=21). After the intervention, prevalence reduced to 5% (n=2) in IVG and 22.5% (n=9) in CG. The Braden Scale score in the IVG declined from 12.45±0.50 to 11.75±1.13. Statistically significant improvements were observed in Braden scores between day 1 and day 3 (IVG: x̄= -0.28±0.55, t= -3.14, p <0.05; CG: x̄= -0.58±4.69, t= -4.66, p <0.05) and between day 1 and day 8 (IVG: x̄= -0.70±1.07, t= -4.15, p <0.05; CG: x̄= 1.38±1.58, t= -5.50, p <0.05).
DiscussionThe findings underscore the clinical benefit of incorporating topical olive oil into standard PI preventive care. The significant reduction in PI prevalence and improved Braden Scale scores suggest olive oil’s potential role as a protective agent due to its anti-inflammatory and antioxidant properties. These results align with existing literature on natural oil-based interventions for skin integrity. However, limitations include the small sample size and short duration, warranting further large-scale studies.
ConclusionTopical olive oil, when used alongside standard care practices, significantly reduced the incidence of pressure injuries in hospitalized, at risk patients. This approach could serve as a cost-effective, natural adjunct to PI prevention protocols, particularly in resource-limited healthcare settings.
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The Role of Animal Models in Huntington's Disease Clinical Trials: Decoding Genetic, Non-Genetic, and Molecular Pathways
Authors: Aarti A. Bhimanwar, Aditi S. Kulkarni and Virendra S. GomaseAvailable online: 07 July 2025More LessBackgroundHuntington's disease (HD) is a neurodegenerative disorder due to a CAG trinucleotide repeat expansion in the HD gene. Animal models have been instrumental in revealing the genetic and molecular bases of HD. While animal models cannot exactly model the human disease because of anatomical and lifespan differences, they are essential in revealing HD pathology and possible treatments.
ObjectiveThis review aimed to highlight the significance of animal models, particularly rodents, in deepening our knowledge of Huntington's disease. It underlines how non-genetic and genetic models have aided research and therapy innovation as well as their limitations.
MethodsThis review addresses the use of different models of animals, including genetic models, such as transgenic mice and non-genetic models, for example, invertebrates and non-human primates. It addresses the creation of these models through methods, such as gene transfer techniques and transgenic manipulation, to simulate the genetic defects that occur in humans. The applicability of model choice based on validity criteria, including symptom manifestation and treatment effectiveness, is also discussed.
ResultsThis study underscores the effectiveness of the R6/2 mouse model, characterized by accelerated symptom onset and HD pathology. Progress in genetic engineering has also boosted the construction of murine and rat models that reproduce the hereditary aspects of HD, providing significant platforms for experimental investigation.
ConclusionEven with their limitations, animal models, especially rodents, continue to play a vital role in the study of HD pathogenesis and therapeutic intervention. These models still shed light on the disease and direct towards the identification of effective treatments.
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Inter-rater Reliability and Accuracy of NBI Score for Activity Evaluation in Ulcerative Colitis
Available online: 03 July 2025More LessIntroductionColonoscopy is a critical tool for the management of Ulcerative Colitis (UC). In this study, we aim to explore the accuracy of Virtual Chromoendoscopy (VCE) using Narrow Banding Imaging (NBI), and magnification using Near Focus (NF) for a better definition of endoscopic inflammation grade in UC patients compared to standard white light (WL) endoscopy alone.
MethodsThis is a non-randomized prospective study including all the patients who underwent a colonoscopy (for any reason) between April and September 2023 (with protocol number n. 60/2019.20). During the endoscopic evaluation, at least one image with white light - evaluated using the Mayo Endoscopic Score (MES), one image with NBI, one image with NBI plus NF, and a biopsy were obtained in each colonic tract (cecum, ascending colon, transverse colon, descending colon, sigmoid colon, and rectum). All the stored images were evaluated by three endoscopists separately and compared with the results of the histological evaluation.
ResultsA total of 31 UC patients were included. The inter-rater reliability concerning the different scores used (MES, NBI score, and NBI plus NF score), which was evaluated with Cohen's kappa coefficient, was good for the MES, good to excellent for the NBI score, and good for the NBI plus NF score. The concordance between histological evaluation (using the Nancy Index) and the MES was unsatisfactory for all the endoscopists, while the concordance between the NBI evaluation score and the Nancy Index was good to excellent.
DiscussionThe reported results demonstrated both the inter-rater reliability and diagnostic accuracy of NBI in assessing endoscopic disease activity. The high inter-operator agreement, ranging from good to excellent, further supports the feasibility and consistency of NBI as a practical tool.
ConclusionThe results in the present study suggest that the new endoscopic technologies could be useful to better define disease activity in Inflammatory Bowel Disease (IBD) patients driving better therapeutic strategy.
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Recent Advances in the Management of Diabetic Foot Ulcers: Challenges and Therapeutic Strategies
Available online: 02 July 2025More LessDiabetic foot ulcers (DFU) are one of the most serious complications of diabetes. Up to one-third of patients with diabetes mellitus (DM) may experience DFU during their lifetime. DFU is a major contributor to morbidity in diabetic patients. The treatment process is challenging, and the recurrence rate of UUP remains high. Therefore, establishing prevention strategies is the most important point to emphasize. The treatment process is challenging for both the patient and the healthcare team, and treatment outcomes are often unsatisfactory, especially in severe cases. In addition, the recurrence rate is high even though the ulcer has healed. Diagnosis and treatment of vascular disorders, glycemic control, disease, local wound care, and infection diagnosis and treatment should be addressed along with appropriate general health assessment and management. Recent treatments for diabetic foot ulcers (DFUs) have faced reduced effectiveness due to molecular changes, such as increased expression of matrix metalloproteinases (MMPs), decreased growth factors like VEGF and TGF-β, and dysfunction of macrophages during the inflammation and repair stages. Studies have also shown that elevated oxidative stress and chronic inflammation contribute to delayed wound healing, urging novel deliveries for effective treatment. Therefore, recent research focuses on the development of innovative and effective approaches for DFU healing, such as stem cell and nanomaterial-based therapies. This review has aimed to address critical DFUs approaches, such as DFUs risk factors, prevention approaches, stem cell, and nanoparticle-based treatment.
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Evaluating the Impact of Lifestyle Interventions on Health Outcomes in Breast Cancer Survivors: A Systematic Review
Authors: Sana Jameel, Tuba Razi, Gulafshan Fatima, Abiha Ahmad Khan, Syeda Aamena Naaz and Hina MerajAvailable online: 24 June 2025More LessIntroductionLifestyle interventions have been increasingly studied for their potential to improve health outcomes in breast cancer survivors. However, the relative effectiveness of these interventions remains unclear. This study aimed to evaluate the impact of various lifestyle changes on the health outcomes of breast cancer survivors.
MethodsA comprehensive analysis of randomized controlled trials (RCTs) involving breast cancer survivors was conducted across major databases, including PubMed, Scopus, Embase, CINAHL, Cochrane Library, and ClinicalTrials.gov. Studies were selected based on their evaluation of lifestyle interventions aimed at reducing breast cancer risk and its recurrence and or improving survival. Non-RCTs and studies focusing solely on pharmacological or genetic interventions were excluded. The risk of bias in included randomized controlled trials was assessed using the Cochrane Risk of Bias 2 (RoB 2). The results of the included studies were presented in tabulated form.
ResultsPhysical activity emerged as the most effective intervention, significantly enhancing metabolic health, body composition, and cardiorespiratory fitness. Dietary changes and weight management programs provided secondary health benefits, such as modest improvements in diet quality, metabolic markers, and quality of life. The combined intervention of diet and exercise further improved these outcomes although it did not significantly reduce cancer recurrence. The digital support system (EMPOWER-SMS) was feasible and acceptable, offering minor improvements in medication adherence and self-efficacy, though its effects on BMI and quality of life were less pronounced.
DiscussionAmong the various lifestyle interventions explored for breast cancer survivors, physical activity consistently emerged as the most effective in improving health outcomes. While dietary changes, weight management, and combined interventions also offered health benefits, their direct impact on key outcomes like cancer recurrence and survival was less clear. However, when integrated with regular exercise, these interventions contributed to holistic improvements in quality of life, making a combined approach potentially the most comprehensive for supporting breast cancer survivors. This systematic review's limitations include intervention heterogeneity, varied follow-up durations, inconsistent outcome measures, small sample sizes, lack of control over confounding variables, limited participant diversity, potential publication bias, and a focus on short-term outcomes.
ConclusionPhysical activity emerged as the most beneficial lifestyle intervention for breast cancer survivors, particularly when combined with dietary modifications and weight management. A holistic approach that integrates physical activity, dietary changes, and digital support may provide the most comprehensive benefits for breast cancer survivors.
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COVID-19 Vaccinations: Summary Guidance for Cancer Patients in 28 Languages: Breaking Barriers to Cancer Patient Information
Authors: Davide Mauri, Konstantinos Kamposioras, Lampriani Tsali, Mario Dambrosio, Berardino De Bari, Nadia Hindi, Carl Salembier, Joanna Nixon, Tzachanis Dimitrios, Flippo Alongi, Hassan Hameed, Antonios Valachis, Konstantinos Papadimitriou, Stefanie Corradini, Lazar Popovic, Jindrich Kopecky, Andres Rodriguez, Katarina Antunac, Junlin Yi, Jozsef Lovey, Primoz Strojan, Haytham Saraireh, Ranveig Røtterud, Marzanna Chojnacka, Santa C. Olalla, Natalia Chilingirova, Ramon Andrade De Mello, Giovanna Araujo Amaral, Farsid Arbabi, Radu Vidra, Erjeta Rapushi, Dan Takeuchi, Chirstos Christopoulos, Irina Ivanova, Igor Djan, Branka Petricevic, Francesco Cellini, Iglika Mihaylova, Natalija Dedic Plavetic, Cvetka Grašič Kuhar, Elena Takeuchi, Pantelis Kountourakis, Panagiotis Ntellas, Ioanna Gazouli, Stefania Gkoura, Salih Yuce, Özlem ER, Chait Yasmina, Gireesh Kumaran, Orges Spahiu, Aasim Yusuf, Paulina Gono, Kathi Apostolidis and Maria Tolia
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Deep Neck Infections: Decisional Algorithm for Patients with Multiple Spaces Involvement
Authors: Filippo Ricciardiello, Salvatore Mazzone, Pasquale Viola, Gianluca Guggino, Giuseppe Longo, Alberto Napolitano, Giuseppe Russo, Giulio Sequino, Flavia Oliva, Pasquale Salomone, Marco Perrella, Giovanni M. Romano, Pietro Cinaglia, Teresa Abate, Maurizio Gargiulo, Davide Pisani and Giuseppe Chiarella
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