Medicine Strategies Research Articles

The role of preventive medicine in reducing chronic disease Burden in the USA: A Systematic Review

Chronic diseases, including cardiovascular disease, diabetes, cancer, and respiratory illnesses, are the leading causes of morbidity and mortality in the United States, placing a significant burden on individuals, healthcare systems, and the economy. Preventive medicine, encompassing primary, secondary, and tertiary strategies, plays a crucial role in mitigating this burden by focusing on disease prevention and health promotion. This systematic review aims to evaluate the effectiveness of preventive medicine in reducing the chronic disease burden in the USA. Through a comprehensive search of peer-reviewed studies, we explore the impact of screening programs, early detection, lifestyle interventions, and health policies designed to prevent chronic diseases. The review highlights the success of preventive measures in decreasing disease incidence, improving health outcomes, and reducing healthcare costs. However, challenges such as disparities in access to care, patient adherence, and the integration of preventive services into the broader healthcare system remain significant barriers. The review concludes by discussing policy implications, recommending strategies to overcome implementation challenges, and outlining future research directions to enhance the role of preventive medicine in combating chronic diseases in the USA.

Neuroprotective Effects of Heinsia crinita and Coconut Water in a Scopolamine-Induced Alzheimer's Model in Albino Rats: Biochemical Changes, Cellular Health, and Neuronal Activity

Aim: This study aimed to investigate the potential therapeutic effects of Heinsia Crinita and Tender Coconut water (TCW) on Alzheimer's disease, focusing on their phytochemical composition, antioxidant activity, and anti-inflammatory effects. The study aimed to identify potential therapeutic agents for Alzheimer's disease and contribute to the development of more effective and natural treatments for this devastating disorder. Study Design: The study used a randomized controlled trial design, with six groups: negative control (Group A), positive control (Group B), Donepezil-treated group (Group C), TCW-treated group (Group D), Heinsia Crinita-treated group (Group E) and TCW + Heinsia Crinita-treated group (Group F). Place and Duration of Study: The study was carried out in the University of Calabar, between February 2022 and January 2024. Methods: About 30 rats were used for the work. Alzheimer's disease-like neurotoxicity and neurodegeneration was inducee in 25 rats using scopolamine; 1.0 mg/kg, intraperitoneally (i.p.) and then treated with the respective interventions; TCW (2ml/kgBW) and Heinsia Crinita (500mg/kgBW). Histological analysis of the hippocampal tissue was performed using Hematoxylin and Eosin stain and Glial Fibrillary Acid Protein (GFAP) stain. Biochemical assays were conducted to determine Malondialdehyde (MDA) levels and glutathione peroxidase (GPx) activity. Results: The results of the study showed that Heinsia Crinita may provide greater health benefits than Tender Coconut water due to its higher concentrations of bioactive compounds like alkaloids, flavonoids, and saponins, enhancing its medicinal properties, particularly its antioxidant and anti-inflammatory effects. Scopolamine induced histomorphological, immunochemical, and biochemical alterations. When combined with Tender Coconut water, Heinsia crinita (Group F) shows improved efficacy in reducing inflammation, cellular damage, and oxidative stress compared to Tender Coconut water alone. This combination is also as effective as Donepezil (Group C) in alleviating immunochemical alterations in a scopolamine-induced Alzheimer's model in Wistar rats, marked by reduced astrocyte activation, lower malondialdehyde (MDA) levels, and increased glutathione peroxidase (GPx) activity p < 0.05. Conclusion: This study suggest that the combination of Heinsia Crinita and Tender Coconut water may serve as a promising therapeutic approach for addressing neurodegenerative conditions like Alzheimer's disease. The enhanced medicinal properties of Heinsia Crinita, particularly its ability to reduce oxidative stress and inflammation, coupled with the nutritional benefits of tender coconut water, could provide a synergistic effect that supports neuronal health and mitigates disease progression. This finding highlights the potential for natural products to be integrated into traditional medicine and modern therapeutic strategies.

ABCG2 Gene Expression in Non-Small Cell Lung Cancer.

Background/Objectives: ATP-binding cassette subfamily G member 2 [ABCG2/breast cancer resistance protein (BCRP)] contributes to mechanisms of multidrug resistance (MDR) and is a marker of side population (SP) cells in human cancers. The primary objective of this study was to investigate the impact of ABCG2 gene expression on the non-small cell lung cancer (NSCLC) development, course of cancer disease, and patient prognosis using publicly available data. Obtained results were supplemented with assessment of ABCG2 expression in blood of NSCLC patients. Methods: The dataset of lung cancer was analyzed utilizing the TIMER 2.0, UALCAN, TNMplot, MEXPRESS, cBioPortal, MethSurv, KM Plotter, STRING, and ShinyGO 0.80 databases. Blood samples from 50 patients were assessed using the real-time PCR method. Results: The ABCG2 gene was expressed at a low level in NSCLC, and did not correlate with clinical aggressiveness of lung cancer. Higher ABCG2 expression improved overall survival, but only in LUAD. In addition, CpG sites located on the CpG island affecting the NSCLC patient's prognosis were indicated. In the case of our own laboratory results, the study did not reveal any changes in the ABCG2 expression levels in blood collected from patients at different time points during the diagnostic-therapeutic procedure. In the in silico analysis, most ABCG2 protein interactors were associated with the development of drug resistance. Conclusions: ABCG2 appears to have a particularly significant impact on the survival of patients with lung cancer and on the effect of immunotherapy related to immune cell infiltration. Presented findings may support personalized medicine strategies based on bioinformatics findings.

Microbiome research in autoimmune and immune-mediated inflammatory diseases: lessons, advances and unmet needs

The increasing prevalence of autoimmune and immune-mediated diseases (AIMDs) underscores the need to understand environmental factors that contribute to their pathogenesis, with the microbiome emerging as a key player. Despite...

Autism Spectrum Disorder and Atypical Brain Connectivity: Novel Insights from Brain Connectivity-Associated Genes by Combining Random Forest and Support Vector Machine Algorithm.

It is estimated that approximately one in every 100 children is diagnosed with autism spectrum disorder (ASD) around the globe. Currently, there are no curative pharmacological treatments for ASD. Discoveries on key molecular mechanisms of ASD are essential for precision medicine strategies. Considering that atypical brain connectivity patterns have been observed in individuals with ASD, this study examined the brain connectivity-associated genes and their putatively distinct expression patterns in brain samples from individuals diagnosed with ASD and using an iterative strategy based on random forest and support vector machine algorithms. We discovered a potential gene signature capable of differentiating ASD from control samples with a 92% accuracy. This gene signature comprised 14 brain connectivity-associated genes exhibiting enrichment in synapse-related terms. Of these genes, 11 were previously associated with ASD in varying degrees of evidence. Notably, NFKBIA, WNT10B, and IFT22 genes were identified as ASD-related for the first time in this study. Subsequent clustering analysis revealed the existence of two distinct ASD subtypes based on our gene signature. The expression levels of signature genes have the potential to influence brain connectivity patterns, potentially contributing to the manifestation of ASD. Further studies on the omics of ASD are called for so as to elucidate the molecular basis of ASD and for diagnostic and therapeutic innovations. Finally, we underscore that advances in ASD research can benefit from integrative bioinformatics and data science approaches.

Recent Noteworthy Studies in Thoracic Oncology.

In this paper, we review recent prospective surgical studies on resectable esophageal and lung cancer. A narrative literature review was performed using the terms 'resectable esophageal cancer' and 'multimodal therapy' and 'resectable non-small cell lung cancer'. Prospective surgical trials performed from 2010 to 2023 were identified and analyzed. gov was queried for ongoing studies. The studies on esophageal cancer demonstrate the benefits of neoadjuvant chemoradiation, compared with surgery alone, and the emerging role of immunotherapy as part of induction and adjuvant treatment protocols. The selected studies on lung cancer demonstrate the evolving role of sublobar resection for patients with peripheral node-negative clinical stage IA1 disease and the developing role of neoadjuvant and adjuvant immunotherapy for patients with stage II-IIIA disease. The methods of treating patients with resectable esophageal or lung cancer are changing. Efforts to limit patient morbidity and optimize tumor treatment before surgery are increasingly being pursued and these approaches will likely continue to evolve as tumor biology and long-term pharmacologic mechanisms of action become clearer. Personalized medicine strategies that are based on tumor characteristics and the host genetic profile remain on the horizon, not yet ready for adoption in routine clinical practice.

Understanding Diabetic Wounds: A Review of Mechanisms, Pathophysiology, and Multimodal Management Strategies

Introduction: Diabetic wounds are a prevalent and impairing consequence of diabetes mellitus that significantly impacts people's lives and global healthcare systems. Because of disturbances in the wound-healing cascade, these intricate, persistent wounds frequently refuse to heal. Focusing on diabetic wound formation, this study seeks to clarify the complex mechanisms and pathophysiology involved while offering a thorough overview of modern multimodal therapy techniques. The etiology of diabetic wounds entails a complex interplay between tissue destruction caused by hyperglycemia, neuropathy, ischemia, and compromised immune response. Extended inflammation, abnormal protease activity, and low oxygen levels in the tissue exacerbate the healing process. Comprehending these pathogenic mechanisms is essential for formulating efficacious therapeutic strategies. Methodology: A thorough evaluation of the literature was done. Databases like SciFinder, ScienceDirect, PubMed, Google, Google Scholar, and the Egyptian Knowledge Bank were used to find pertinent publications. More than 200 articles and databases were studied to constitute this paper. The accuracy of the retrieved data was carefully reviewed and cross-checked. The current review aims to define wounds, various methods of classification, and various advancements for wound management as mentioned in scheme 1. Several multidisciplinary strategies, including debridement, unloading, antimicrobial stewardship, and innovative therapeutics, are currently needed to manage diabetic wounds. Debridement—the excision of non-viable tissue—is necessary to create an environment that is conducive to recovery. Biomechanical interventions and offloading help to prevent additional tissue damage caused by repetitive stress. Antimicrobial treatments fight infections, which are a common diabetic wound consequence. Promising supplementary treatments are provided by developments in cellular and tissue-based products, ozone therapy growth factors, bioengineered skin substitutes, and hyperbaric oxygen therapy. Result: After applying article selection criteria and reviewing the quality of the methodology a total of 200 articles were selected to be included in the review. In this review, intricate interactions between peripheral neuropathy, vascular insufficiency, and hyperglycemia in the pathophysiology of diabetic wounds are explained. The efficacy of multimodal therapies is discussed in detail. Discussion: A thorough comprehension of the complex mechanisms that underlie diabetic wounds is essential for efficient therapy. This review emphasizes how important multimodal approaches are to treating the complex pathophysiology of these wounds. Clinicians can greatly enhance the prognosis of patients with diabetic foot ulcers by addressing vascular insufficiency, neuropathy, infection, and poor healing. Conclusion: Timely wound resolution remains a key difficulty despite the implementation of multimodal methods. To customize therapies, personalized medicine strategies utilizing genetic and proteomic biomarkers must be the main focus of future research. Furthermore, cutting-edge biotechnologies with the potential to transform diabetic wound treatment include optogenetics and nanomedicine.

HLA-B allele frequencies and implications for pharmacogenetics in the Kuwaiti population.

We utilized the HLA-HD tool to extract, annotate, and analyse HLA-B alleles from the exome data of 561 Kuwaiti individuals, sequenced on the Illumina HiSeq platform. HLA typing was conducted using the HLA-HD tool with a reference panel from the IPD-IMGT/HLA database. The major HLA-B pharmacogenetic markers were obtained from the HLA Adverse Drug Reaction Database, focusing on alleles with significant ADR associations in published literature. The distribution of HLA-B alleles in the Kuwaiti population revealed that the most frequent alleles were HLA-B*50:01 (10.52%), HLA-B*51:01 (9.89%), HLA-B*08:01 (6.06%), HLA-B*52:01 (4.55%), HLA-B*18:01 (3.92%), and HLA-B*41:01 (3.65%). Notably, alleles HLA-B*13:01, HLA-B*13:02, HLA-B*15:02, HLA-B*15:13, HLA-B*35:02, HLA-B*35:05, HLA-B*38:01, HLA-B*40:02, HLA-B*44:03, HLA-B*51:01, HLA-B*57:01 and HLA-B*58:01 were identified with known associations to various ADRs. For example, HLA-B*51:01 was associated with clindamycin, phenobarbital, and phenytoin, and was found in 18% of individuals. Our study enriches the regional genetic landscape by delineating HLA-B allele variations within Kuwait and across the Arabian Peninsula. This genetic insight, along with the identification of markers previously linked to drug hypersensitivity, provides a foundation for future pharmacogenetic research and potential personalized medicine strategies in the region.

Comparison of Awake Respiratory Control Versus Sleep Obstructive Sleep Apnea Endotypes.

Most approaches to advance simplified physiology-based precision medicine strategies for obstructive sleep apnea (OSA) focus on sleep parameters (i.e., OSA endotypes). However, wakefulness physiology measures can also provide prediction insight for certain OSA therapies yet their relationship with sleep parameters has not been extensively investigated. This study aimed to investigate potential relationships between awake ventilatory control parameters and sleep OSA endotypes and their potential to predict changes in OSA severity with morphine. Data were acquired from a randomised, cross-over trial that investigated effects of morphine versus placebo on OSA severity and underlying mechanisms. Here, awake ventilatory chemoreflex testing prior to overnight polysomnography was compared with direct measures of sleep respiratory control (e.g., hypercapnic ventilatory responses and loop gain) and OSA endotypes during a separate overnight physiology study (pharyngeal critical closure pressure-Pcrit, muscle responsiveness via genioglossus intramuscular electromyography and arousal threshold via epiglottic pressure catheter to transient continuous positive airway pressure reductions). Twenty-one men with OSA completed both study arms. During placebo, 1) awake chemosensitivity correlated with Pcrit (r=0.726, p=0.001), 2) arousal threshold correlated with awake CO2 ventilatory response threshold (r=-0.467, p=0.047) and basal ventilation (r=-0.500, p=0.029). Awake chemosensitivity and Pcrit also correlated with the apnea-hypopnea index (p<0.001) during placebo. Awake chemosensitivity was predictive of changes in OSA severity with morphine(r=-0.535, p=0.013). In conclusion, awake measures of respiratory control are related to physiological endotypes such as airway collapsibility and arousal threshold during sleep and OSA severity. Awake ventilatory chemosensitivity has the best potential to predict changes in OSA severity with morphine.

Integrated analysis of gene expressions and targeted mirnas for explaining crosstalk between oral and esophageal squamous cell carcinomas through an interpretable machine learning approach.

This study explores the bidirectional relation of esophageal squamous cell carcinoma (ESCC) and oral squamous cell carcinoma (OSCC), examining shared risk factors and underlying molecular mechanisms. By employing random forest (RF) classifier, enhanced with interpretable machine learning (IML) through SHapley Additive exPlanations (SHAP), we analyzed gene expression from two GEO datasets (GSE30784 and GSE44021). The GSE30784 dataset comprises 167 OSCC samples and 45 control group, whereas the GSE44021 dataset encompasses 113 ESCC samples and 113 control group. Our analysis led to identification of 20 key genes, such as XBP1, VGLL1, and RAD1, which are significantly associated with development of ESCC and OSCC. Further investigations were conducted using tools like NetworkAnalyst 3.0, Single Cell Portal, and miRNET 2.0, which highlighted complex interactions between these genes and specific miRNA targets including hsa-mir-124-3p and hsa-mir-1-3p. Our model achieved high precision in identifying genes linked to crucial processes like programmed cell death and cancer pathways, suggesting new avenues for diagnosis and treatment. This study confirms the bidirectional relationship between OSCC and ESCC, laying groundwork for targeted therapeutic approaches. This study helps to identify shared biological pathways and genetic factors of these conditions for designing personalized medicine strategies and to improve disease management.

Perceptions of Cultural Adaptations and Other Characteristics of Weight Management Interventions among Hispanic/Latinx Immigrants.

Hispanic/Latinx immigrants have high obesity rates, yet they participate less in weight management interventions. This cross-sectional online study recruited Hispanic/ Latinx immigrants living in the United States (US). In a within-subject experimental crossover component, participants were presented with brief information about a hypothetical weight management intervention that was culturally adapted for Hispanics/ Latinx, or a standard intervention (not adapted) and asked about their willingness to enroll. Participants also reported their preferences for weight management intervention features. Participants (n = 54) were majority female (51.9%), aged 51 years or older (56.0%), American citizens (87.0%), and immigrated to US ≥10 years ago (81.7%), with a mean BMI 29.6 + 3.7 kg/m2. There was no difference in willingness to enroll in a culturally adapted (46.3%) compared to standard intervention (48.1%), though more participants preferred a culturally adapted intervention (68.5%). Preference for a culturally adapted intervention was greater among females (p = 0.008) and those with lower acculturation (p = 0.052). Use of non-evidence-based complementary and alternative medicine strategies was common and associated with greater willingness to enroll in a behavioral program (p = 0.007). Preferences for intervention features varied. These findings may inform efforts to increase the reach of weight management interventions for Hispanic/Latinx immigrants.

Leveraging Multi-Omics Approaches and Advanced Technologies to Unravel the Molecular Complexities, Modifiers, and Precision Medicine Strategies for Hemoglobin H Disease.

Hemoglobin H (HbH) disease, a form of alpha-thalassemia, poses significant clinical challenges due to its complex molecular underpinnings. It is characterized by reduced synthesis of the alpha-globin chain. The integration of multi-omics and precision medicine holds immense potential to comprehensively understand and capture interactions at the molecular and genetic levels. This review integrates current multi-omics approaches and advanced technologies in HbH research. Furthermore, it delves into detailed pathophysiology and possible therapeutics in the upcoming future. We explore the role of genomics, transcriptomics, proteomics, and metabolomics studies, alongside bioinformatics tools and gene-editing technologies like CRISPR/Cas9, to identify genetic modifiers, decipher molecular pathways, and discover therapeutic targets. Recent advancements are unveiling novel genetic and epigenetic modifiers impacting HbH disease severity, paving the way for personalized precision medicine interventions. The significance of multi-omics research in unraveling the complexities of rare diseases like HbH is underscored, highlighting its potential to revolutionize clinical practice through precision medicine approaches. This paradigm shift can pave the way for a deeper understanding of HbH complexities and improved disease management.

Neuroinflammation as a cause of differential Müller cell regenerative responses to retinal injury.

Unlike mammals, some nonmammalian species recruit Müller glia for retinal regeneration after injury. Identifying the underlying mechanisms may help to foresee regenerative medicine strategies. Using a Xenopus model of retinitis pigmentosa, we found that Müller cells actively proliferate upon photoreceptor degeneration in old tadpoles but not in younger ones. Differences in the inflammatory microenvironment emerged as an explanation for such stage dependency. Functional analyses revealed that enhancing neuroinflammation is sufficient to trigger Müller cell proliferation, not only in young tadpoles but also in mice. In addition, we showed that microglia are absolutely required for the response of mouse Müller cells to mitogenic factors while negatively affecting their neurogenic potential. However, both cell cycle reentry and neurogenic gene expression are allowed when applying sequential pro- and anti-inflammatory treatments. This reveals that inflammation benefits Müller glia proliferation in both regenerative and nonregenerative vertebrates and highlights the importance of sequential inflammatory modulation to create a regenerative permissive microenvironment.

A Review of Mechanisms, Impact, and Advances in Management Strategies in Cancer-Related Pain

Cancer-related pain significantly impacts patients' quality of life and treatment outcomes, presenting a persistent challenge in oncology. The complex nature of cancer pain encompasses nociceptive, visceral, and neuropathic types, each with distinct characteristics and management requirements. Pain profoundly affects cognitive function, daily activities, and emotional well-being of cancer patients, often leading to decreased quality of life and treatment compliance. Current management strategies include both pharmacological and non-pharmacological approaches. Opioids, non-opioid analgesics, and adjuvant medications form the cornerstone of pharmacological interventions, while acupuncture and mind-body therapies show promise as complementary non-pharmacological methods. Recent advancements in pain assessment tools, such as digital pain diaries and wearable devices, offer improved monitoring capabilities and personalized pain management. Emerging therapies, including targeted immunotherapies and gene therapy approaches, represent new frontiers in cancer pain management. However, challenges persist in balancing effective pain relief with side effect minimization. The field is moving towards personalized, multimodal approaches that consider individual patient factors and pain mechanisms. Future research directions include developing novel analgesics, integrating artificial intelligence in pain assessment, and exploring personalized medicine strategies. Continued innovation and interdisciplinary collaboration are essential to enhance pain management and improve overall quality of life for cancer patients.

Computed tomography-based radiomics nomogram for prediction of lympho-vascular and perineural invasion in esophageal squamous cell cancer patients: a retrospective cohort study

PurposeLympho-vascular invasion (LVI) and perineural invasion (PNI) have been established as prognostic factors in various types of cancers. The preoperative prediction of LVI and PNI has the potential to guide personalized medicine strategies for patients with esophageal squamous cell cancer (ESCC). This study investigates whether radiomics features derived from preoperative contrast-enhanced CT could predict LVI and PNI in ESCC patients.Methods and materialsA retrospective cohort of 544 ESCC patients who underwent esophagectomy were included in this study. Preoperative contrast-enhanced CT images, pathological results of PNI and LVI, and clinical characteristics were collected. For each patient, the gross tumor volume (GTV-T) and lymph nodes volume (GTV-N) were delineated and four categories of radiomics features (first-order, shape, textural and wavelet) were extracted from GTV-T and GTV-N. The Mann–Whitney U test was used to select significant features associated with LVI and PNI in turn. Subsequently, radiomics signatures for LVI and PNI were constructed using LASSO regression with ten-fold cross-validation. Significant clinical characteristics were combined with radiomics signature to develop two nomogram models for predicting LVI and PNI, respectively. The area under the curve (AUC) and calibration curve were used to evaluate the predictive performance of the models.ResultsThe radiomics signature for LVI prediction consisted of 28 features, while the PNI radiomics signature comprised 14 features. The AUCs of the LVI radiomics signature were 0.77 and 0.74 in the training and validation groups, respectively, while the AUCs of the PNI radiomics signature were 0.69 and 0.68 in the training and validation groups. The nomograms incorporating radiomics signatures and significant clinical characteristics such as age, gender, thrombin time and D-Dimer showed improved predictive performance for both LVI (AUC: 0.82 and 0.80 in the training and validation group) and PNI (AUC: 0.75 and 0.72 in the training and validation groups) compared to the radiomics signature alone.ConclusionThe radiomics features extracted from preoperative contrast-enhanced CT of gross tumor and lymph nodes have demonstrated their potential in predicting LVI and PNI in ESCC patients. Furthermore, the incorporation of clinical characteristics has shown additional value, resulting in improved predictive performance.

Hydrogel-Mediated Local Delivery of Induced Nephron Progenitor Cell-Sourced Molecules as a Cell-Free Approach for Acute Kidney Injury

Acute kidney injury (AKI) constitutes a severe condition characterized by a sudden decrease in kidney function. Utilizing lineage-restricted stem/progenitor cells, directly reprogrammed from somatic cells, is a promising therapeutic option in personalized medicine for serious and incurable diseases such as AKI. The present study describes the therapeutic potential of induced nephron progenitor cell-sourced molecules (iNPC-SMs) as a cell-free strategy against cisplatin (CP)-induced nephrotoxicity, employing hyaluronic acid (HA) hydrogel-mediated local delivery to minimize systemic leakage and degradation. iNPC-SMs exhibited anti-apoptotic effects on HK-2 cells by inhibiting CP-induced ROS generation. Additionally, the localized biodistribution facilitated by hydrogel-mediated iNPC-SM delivery contributed to enhanced renal function, anti-inflammatory response, and renal regeneration in AKI mice. This study could serve as a ‘proof of concept’ for injectable hydrogel-mediated iNPC-SM delivery in AKI and as a model for further exploration of the development of cell-free regenerative medicine strategies.

Cellular Senescence and Anti-Aging Strategies in Aesthetic Medicine: A Bibliometric Analysis and Brief Review.

Skin aging is the most obvious feature of human aging, and delaying aging has become a hot and difficult research topic in aesthetic medicine. The accumulation of dysfunctional senescent cells is one of the important mechanisms of skin aging, based on which a series of anti-aging strategies have been generated. In this paper, from the perspective of cellular senescence, we utilize bibliometrics and research review to explore the research hotspots and trends in this field, with a view to providing references for skin health and aesthetic medicine. We obtained literature related to this field from the Web of Science Core Collection database from 1994 to 2024. Bibliometrix packages in R, CiteSpace, VOSviewer, Origin, and Scimago Graphica were utilized for data mining and visualization. A total of 2,796 documents were included in the analysis. The overall trend of publications showed a continuous and rapid increase from 2016-2023, but the total citations improved poorly over time. In this field, Journal of Cosmetic Dermatology, Journal of Investigative Dermatology, Experimental Gerontology are core journals. Kim J, Lee JH, Lee S, Rattan SIS, Chung JH and Kim JH are the core authors in this field. Seoul National University is the first in terms of publications. Korea is the country with the most publications, but USA has the most total citations. Top 10 keywords include: gene-expression, skin, cellular senescence, cell, oxidative stress, antioxidants, in vitro, fibroblasts, mechanism, cancer. Current research trends are focused on neurodegeneration, skin rejuvenation, molecular docking, fibrosis, wound healing, SASP, skin barrier, and antioxidants. The core literature and references reflect topics such as the major molecular pathways in the aging process, and the relationship with tumors. This field of research has been rapidly rising in recent years. Relevant research hotspots focus on oxidative stress, fibroblasts, and senescence-associated secretory phenotype. Anti-aging strategies targeting cellular senescence hold great promise, including removal of senescent cells or attenuation of SASP factors, corresponding to senolytics and senomorphics therapies, respectively.

Altitude-Induced Health Challenges: Understanding Medicine and Potential Dietary Mitigation Strategies

Altitude-Induced Health Challenges: Understanding Medicine and Potential Dietary Mitigation Strategies

Structure‐based design of antibodies targeting the EBNA1 DNA‐binding domain to block Epstein–Barr virus latent infection and tumor growth

AbstractThe Epstein–Barr virus (EBV) nuclear antigen 1 (EBNA1) is critically involved in maintaining episomes during latent infection and promoting tumorigenesis. The development of an epitope‐specific monoclonal antibody (mAb) for EBNA1 holds great promise due to its high affinity and specificity, offering a new and innovative approach for the treatment of EBV‐related diseases. In this proof‐of‐concept study, we employed a structure‐based design strategy to create three unique immunogens specifically targeting the DNA binding state of the EBNA1 DBD. By immunizing mice, we successfully generated a mAb, named 5E2‐12, which selectively targets the DNA binding interface of EBNA1. The 5E2‐12 mAb effectively disrupts the interaction between EBNA1 and DNA binding, resulting in reduced proliferation of EBV‐positive cells and inhibition of xenograft tumor growth in both cellular assays and mouse tumor models. These findings open up new avenues for the development of innovative biological macromolecular drugs that specifically target EBNA1 and provide potential for clinical therapy options for early‐stage EBV‐positive tumors. The epitope‐specific mAb approach demonstrates novelty and innovation in tackling EBV‐related diseases and may have broad implications for precision medicine strategies in the field of viral‐associated cancers.

IL6 and WNK2 Polymorphisms and Prognosis in Patients With Intracerebral Hemorrhage Receiving Edaravone

ObjectiveEdaravone is utilized in intra-cerebral hemorrhage (ICH) patients for years, while personalized variances were observed in clinic. To explore the precision medicine strategy for Edaravone, this study investigated the association between genetic polymorphisms and Edaravone efficacy in ICH patients. MethodsWe genotyped 7 SNPs in 4 potential genes, including COL4A2, TNF, WNK2 and IL6, from the peripheral blood of 217 ICH patients with or without Edaravone utilizations. PLINK and SPSS were utilized for association tests, Student's t tests, Mann-Whitney U tests and Chi-square tests. ResultsRs1800796 (C>G) in IL6 (OR: 0.41, 95% CI: 0.18-0.94, p-value = 0.03) and rs16936752 (G>T) in WNK2 (OR: 0.28, 95% CI: 0.09-0.88, p-value = 0.02) were found to be significantly associated with Edaravone efficacy. The association of rs1800796 and rs16936752 were found to be different in patients with or without smoking habit, alcohol drinking habit, hypertension history and hyperlipemia history were found to be different. Both of these two SNPs were found to be associated with the concentration of high-density lipoprotein cholesterol (HDL) in ICH patients. ConclusionsThe IL6 rs1800796 and the WNK2 rs16936752 could be useful biomarkers for prognosis prediction during Edaravone treatment. These SNPs should be considered in the personalized medicine strategy for Edaravone in the future.