Epma Journal最新文献

{"title":"Impacts of a multipurpose outpatient hospital pharmacy in the framework of 3P medicine","authors":"Lara González Freire, Ana Belen Veiga Villaverde, Ana Ballester Vieitez, Rosario Olivera Fernández, Carlos Crespo-Diz","doi":"10.1007/s13167-023-00346-0","DOIUrl":"https://doi.org/10.1007/s13167-023-00346-0","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Challenge in the framework of Predictive, Preventive and Personalised Medicine</h3><p>In recent years, we have been witnessing a change in the performance of hospital pharmacists, aimed at increasing their participation in the pharmacotherapeutic process of patients. The drug cycle, characterised as multidisciplinary, is very complex. It is essential for the multidisciplinary team to have a broad vision of the medication system in order to guarantee safety and quality.</p><p>Considering the challenges of current healthcare systems and paradigm shift from reactive to predictive medicine, a new professional environment should be created to promote the implementation of Predictive, Preventive and Personalised Medicine in healthcare.</p><h3 data-test=\"abstract-sub-heading\">Objectives and study design</h3><p>To optimise care times in multipurpose outpatient hospital both in the preparation of ready-to-use medications and in the dispensing of medications for home treatment.</p><p>To increase the confidence and value of hospital pharmacists in the process of patient and family care.</p><p>The design of the study was carried out by the following:</p><p>-Coordinating the schedules of the multi-pathology day hospital with the software and records of Medication Preparation in the pharmacy service.</p><p>-Opening a Pharmacy Outpatient Clinic associated with the multi-pathology day hospital.</p><p>-Planning and scheduling patient treatments.</p><h3 data-test=\"abstract-sub-heading\">Achievements</h3><p>With the implementation of this programme, the visibility of hospital pharmacists in the multidisciplinary team was increased.</p><p>This Pharmacy Outpatient Clinic allowed the coordination of the pharmaceutical care process in the day hospital.</p><p>This project increased the credibility of the Pharmacy Service in the improvement of the integral process of the medicine.</p><h3 data-test=\"abstract-sub-heading\">Conclusions and expert recommendations</h3><h3 data-test=\"abstract-sub-heading\">Predictive approach</h3><p>The presence of pharmacists in the multi-pathology day hospital has a predictive approach. A change is made in the workflow that allows to generate a speed of intervention by acting before prescribing, dispensing and administering the treatment to the patient.</p><h3 data-test=\"abstract-sub-heading\">Targeted prevention</h3><p>The presence of pharmacists in the multipurpose day hospital unit and their collaboration with other professionals and the patient bring about a selective prevention that decreases the possibility of medication errors occurring.</p><h3 data-test=\"abstract-sub-heading\">Personalisation of medical services</h3><p>With the individualised dispensing of treatments, a step forward is taken in the <i>personalisation of medical services</i>, which avoids medication errors in labelling and administration and improves safety in the overall medication circuit in the hospital.</p>","PeriodicalId":54292,"journal":{"name":"Epma Journal","volume":null,"pages":null},"PeriodicalIF":6.5,"publicationDate":"2023-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138518966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diabetes, glycemic control and arterial stiffness: a real-world cohort study in the context of predictive, preventive, and personalized medicine","authors":"Cancan Cui, Te Zhang, Yitian Qi, Jiaqi Chu, Haikun Xu, Chen Sun, Zhenming Zhang, Xingang Wang, Siqi Yue, Xiaoping Kang, Ling Fang","doi":"10.1007/s13167-023-00347-z","DOIUrl":"https://doi.org/10.1007/s13167-023-00347-z","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Background</h3><p>Arterial stiffness is a major contributor to morbidity and mortality worldwide. Although several metabolic markers associated with arterial stiffness have been developed, there is limited data regarding whether glycemic control modifies the association between diabetes and arterial stiffness. For these reasons, identification of traits around diabetes will directly contribute to arterial stiffness and atherosclerosis management in the context of predictive, preventive, and personalized medicine (PPPM). Thus, this study aimed to explore the relationship of diabetes and glycemic control status with arterial stiffness in a real-world setting.</p><h3 data-test=\"abstract-sub-heading\">Methods</h3><p>Data of participants from Beijing Xiaotangshan Examination Center (BXEC) with at least two surveys between 2008 and 2019 were used. Cumulative hazards were presented by inverse probability of treatment weighted (IPTW) Kaplan-Meier curves. Cox models were used to estimate the hazard ratio (HR) and 95% confidence interval (CI). Arterial stiffness was defined as brachial-ankle pulse wave velocity (baPWV) ≥1400 cm/s.</p><h3 data-test=\"abstract-sub-heading\">Results</h3><p>Of 5837 participants, the mean baseline age was 46.5±9.3 years, including 3791 (64.9%) males. During a median follow-up of 4.0 years, 1928 (33.0%) cases of incident arterial stiffness were observed. People with diabetes at baseline had a 48.4% (HR: 1.484, 95% CI: 1.250–1.761) excessive risk of arterial stiffness. Adherence to good glycemic control attenuated the relationship between diabetes and arterial stiffness (HR: 1.264, 95% CI: 0.950–1.681); while uncontrolled diabetes was associated with the highest risk of arterial stiffness (HR: 1.629, 95% CI: 1.323–2.005). Results were consistent using IPTW algorithm and multiple imputed data.</p><h3 data-test=\"abstract-sub-heading\">Conclusion</h3><p>Our study quantified that diabetes status is closely associated with an increased risk of arterial stiffness and supported that adherence to good glycemic control could attenuate the adverse effect of diabetes on arterial stiffness. Therefore, glucose monitoring and control is a cost-effective strategy for the predictive diagnostics, targeted prevention, patient stratification, and personalization of medical services in early vascular damages and arterial stiffness.</p>","PeriodicalId":54292,"journal":{"name":"Epma Journal","volume":null,"pages":null},"PeriodicalIF":6.5,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138518925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The predictive, preventive, and personalized medicine of insomnia: gut microbiota and inflammation","authors":"Hao-Wen Chen, Rui Zhou, Bi-Fei Cao, Kuan Liu, Qi Zhong, Yi-Ning Huang, Hua-Min Liu, Jin-Qing Zhao, Xian-Bo Wu","doi":"10.1007/s13167-023-00345-1","DOIUrl":"https://doi.org/10.1007/s13167-023-00345-1","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Background</h3><p>The human gut microbiota (GM) has been recognized as a significant factor in the development of insomnia, primarily through inflammatory pathways, making it a promising target for therapeutic interventions. Considering the principles of primary prediction, targeted prevention, and personalized treatment medicine (PPPM), identifying specific gut microbiota associated with insomnia and exploring the underlying mechanisms comprehensively are crucial steps towards achieving primary prediction, targeted prevention, and personalized treatment of insomnia.</p><h3 data-test=\"abstract-sub-heading\">Working hypothesis and methodology</h3><p>We hypothesized that alterations in the composition of specific GM could induce insomnia through an inflammatory response, which postulates the existence of a GM-inflammation-insomnia pathway. Mendelian randomization (MR) analyses were employed to examine this pathway and explore the mediative effects of inflammation. We utilized genetic proxies representing GM, insomnia, and inflammatory indicators (including 41 circulating cytokines and C-reactive protein (CRP)), specifically identified from European ancestry. The primary method used to identify insomnia-related GM and examine the medicative effect of inflammation was the inverse variance weighted method, supplemented by the MR-Egger and weighted median methods. Our findings have the potential to identify individuals at risk of insomnia through screening for GM imbalances, leading to the development of targeted prevention and personalized treatment strategies for the condition.</p><h3 data-test=\"abstract-sub-heading\">Results</h3><p>Nine genera and three circulating cytokines were identified to be associated with insomnia; only the associations of <i>Clostridium</i> (<i>innocuum</i> group) and β-NGF on insomnia remained significant after the FDR test, OR = 1.08 (95% CI = 1.04–1.12, <i>P</i> = 1.45 × 10⁻⁴, <i>q</i> = 0.02) and OR = 1.06 (95% CI = 1.02–1.10, <i>P</i> = 1.06 × 10⁻³, <i>q</i> = 0.04), respectively. CRP was associated with an increased risk of insomnia, OR = 1.05 (95% CI = 1.01–1.10, <i>P</i> = 6.42 × 10⁻³). CRP mediated the association of <i>Coprococcus</i> 1, <i>Holdemania</i>, and <i>Rikenellaceae</i> (<i>RC9gut</i> group) with insomnia. No heterogeneity or pleiotropy were detected.</p><h3 data-test=\"abstract-sub-heading\">Conclusions</h3><p>Our study highlights the role of specific GM alterations in the development of insomnia and provides insights into the mediating effects of inflammation. Targeting these specific GM alterations presents a promising avenue for advancing the transition from reactive medicine to PPPM in managing insomnia, potentially leading to significant clinical benefits.</p>","PeriodicalId":54292,"journal":{"name":"Epma Journal","volume":null,"pages":null},"PeriodicalIF":6.5,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138518893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial intelligence to improve ischemia prediction in Rubidium Positron Emission Tomography—a validation study","authors":"Simon M. Frey, Adam Bakula, Andrew Tsirkin, Vasily Vasilchenko, Peter Ruff, Caroline Oehri, Melissa Fee Amrein, Gabrielle Huré, Klara Rumora, Ibrahim Schäfer, Federico Caobelli, Philip Haaf, Christian E. Mueller, Bjoern Andrew Remppis, Hans-Peter Brunner-La Rocca, Michael J. Zellweger","doi":"10.1007/s13167-023-00341-5","DOIUrl":"https://doi.org/10.1007/s13167-023-00341-5","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Background</h3><p>Patients are referred to functional coronary artery disease (CAD) testing based on their pre-test probability (PTP) to search for myocardial ischemia. The recommended prediction tools incorporate three variables (symptoms, age, sex) and are easy to use, but have a limited diagnostic accuracy. Hence, a substantial proportion of non-invasive functional tests reveal no myocardial ischemia, leading to unnecessary radiation exposure and costs. Therefore, preselection of patients before ischemia testing needs to be improved using a more predictive and personalised approach.</p><h3 data-test=\"abstract-sub-heading\">Aims</h3><p>Using multiple variables (symptoms, vitals, ECG, biomarkers), artificial intelligence–based tools can provide a detailed and individualised profile of each patient. This could improve PTP assessment and provide a more personalised diagnostic approach in the framework of predictive, preventive and personalised medicine (PPPM).</p><h3 data-test=\"abstract-sub-heading\">Methods</h3><p>Consecutive patients (<i>n</i> = 2417) referred for Rubidium-82 positron emission tomography were evaluated. PTP was calculated using the ESC 2013/2019 and ACC 2012/2021 guidelines, and a memetic pattern–based algorithm (MPA) was applied incorporating symptoms, vitals, ECG and biomarkers. Five PTP categories from very low to very high PTP were defined (i.e., &lt; 5%, 5–15%, 15–50%, 50–85%, &gt; 85%). Ischemia was defined as summed difference score (SDS) ≥ 2.</p><h3 data-test=\"abstract-sub-heading\">Results</h3><p>Ischemia was present in 37.1%. The MPA model was most accurate to predict ischemia (AUC: 0.758, <i>p</i> &lt; 0.001 compared to ESC 2013, 0.661; ESC 2019, 0.673; ACC 2012, 0.585; ACC 2021, 0.667). Using the &lt; 5% threshold, the MPA’s sensitivity and negative predictive value to rule out ischemia were 99.1% and 96.4%, respectively. The model allocated patients more evenly across PTP categories, reduced the proportion of patients in the intermediate (15–85%) range by 29% (ACC 2012)–51% (ESC 2019), and was the only tool to correctly predict ischemia prevalence in the very low PTP category.</p><h3 data-test=\"abstract-sub-heading\">Conclusion</h3><p>The MPA model enhanced ischemia testing according to the PPPM framework:</p><ol>\u0000<li>\u0000<span>1)</span>\u0000<p>The MPA model improved individual prediction of ischemia significantly and could safely exclude ischemia based on readily available variables without advanced testing (“predictive”).</p>\u0000</li>\u0000<li>\u0000<span>2)</span>\u0000<p>It reduced the proportion of patients in the intermediate PTP range. Therefore, it could be used as a gatekeeper to prevent patients from further unnecessary downstream testing, radiation exposure and costs (“preventive”).</p>\u0000</li>\u0000<li>\u0000<span>3)</span>\u0000<p>Consequently, the MPA model could transform ischemia testing towards a more personalised diagnostic algorithm (“personalised”).</p>\u0000</li>\u0000</ol>","PeriodicalId":54292,"journal":{"name":"Epma Journal","volume":null,"pages":null},"PeriodicalIF":6.5,"publicationDate":"2023-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138518905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Conceptualised psycho-medical footprint for health status outcomes and the potential impacts for early detection and prevention of chronic diseases in the context of 3P medicine","authors":"Ebenezer Afrifa-Yamoah, Eric Adua, Enoch Odame Anto, Emmanuel Peprah-Yamoah, Victor Opoku-Yamoah, Emmanuel Aboagye, Rashid Hashmi","doi":"10.1007/s13167-023-00344-2","DOIUrl":"https://doi.org/10.1007/s13167-023-00344-2","url":null,"abstract":"Abstract Background The Suboptimal Health Status Questionnaire-25 (SHSQ-25) is a distinctive medical psychometric diagnostic tool designed for the early detection of chronic diseases. However, the synaptic connections between the 25 symptomatic items and their relevance in supporting the monitoring of suboptimal health outcomes, which are precursors for chronic diseases, have not been thoroughly evaluated within the framework of predictive, preventive, and personalised medicine (PPPM/3PM). This baseline study explores the internal structure of the SHSQ-25 and demonstrates its discriminatory power to predict optimal and suboptimal health status (SHS) and develop photogenic representations of their distinct relationship patterns. Methods The cross-sectional study involved healthy Ghanaian participants ( n = 217; aged 30–80 years; ~ 61% female), who responded to the SHSQ-25. The median SHS score was used to categorise the population into optimal and SHS. Graphical LASSO model and multi-dimensional scaling configuration methods were employed to describe the network structures for the two populations. Results We observed differences in the structural, node placement and node distance of the synaptic networks for the optimal and suboptimal populations. A statistically significant variance in connectivity levels was noted between the optimal (58 non-zero edges) and suboptimal (43 non-zero edges) networks ( p = 0.024). Fatigue emerged as a prominently central subclinical condition within the suboptimal population, whilst the cardiovascular system domain had the greatest relevance for the optimal population. The contrast in connectivity levels and the divergent prominence of specific subclinical conditions across domain networks shed light on potential health distinctions. Conclusions We have demonstrated the feasibility of creating dynamic visualizers of the evolutionary trends in the relationships between the domains of SHSQ-25 relative to health status outcomes. This will provide in-depth comprehension of the conceptual model to inform personalised strategies to circumvent SHS. Additionally, the findings have implications for both health care and disease prevention because at-risk individuals can be predicted and prioritised for monitoring, and targeted intervention can begin before their symptoms reach an irreversible stage.","PeriodicalId":54292,"journal":{"name":"Epma Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135390545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting 1-, 3-, 5-, and 8-year all-cause mortality in a community-dwelling older adult cohort: relevance for predictive, preventive, and personalized medicine","authors":"Yequn Chen, Xiulian Deng, Dong Lin, Peixuan Yang, Shiwan Wu, Xidong Wang, Hui Zhou, Ximin Chen, Xiaochun Wang, Weichai Wu, Kaibing Ke, Wenjia Huang, Xuerui Tan","doi":"10.1007/s13167-023-00342-4","DOIUrl":"https://doi.org/10.1007/s13167-023-00342-4","url":null,"abstract":"Abstract Background Population aging is a global public health issue involving increased prevalence of age-related diseases, and concomitant burden on medical resources and the economy. Ninety-two diseases have been identified as age-related, accounting for 51.3% of the global adult disease burden. The economic cost per capita for older people over 60 years is 10 times that of the younger population. From the aspects of predictive, preventive, and personalized medicine (PPPM), developing a risk-prediction model can help identify individuals at high risk for all-cause mortality and provide an opportunity for targeted prevention through personalized intervention at an early stage. However, there is still a lack of predictive models to help community-dwelling older adults do well in healthcare. Objectives This study aims to develop an accurate 1-, 3-, 5-, and 8-year all-cause mortality risk-prediction model by using clinical multidimensional variables, and investigate risk factors for 1-, 3-, 5-, and 8-year all-cause mortality in community-dwelling older adults to guide primary prevention. Methods This is a two-center cohort study. Inclusion criteria: (1) community-dwelling adult, (2) resided in the districts of Chaonan or Haojiang for more than 6 months in the past 12 months, and (3) completed a health examination. Exclusion criteria: (1) age less than 60 years, (2) more than 30 incomplete variables, (3) no signed informed consent. The primary outcome of the study was all-cause mortality obtained from face-to-face interviews, telephone interviews, and the medical death database from 2012 to 2021. Finally, we enrolled 5085 community-dwelling adults, 60 years and older, who underwent routine health screening in the Chaonan and Haojiang districts, southern China, from 2012 to 2021. Of them, 3091 participants from Chaonan were recruited as the primary training and internal validation study cohort, while 1994 participants from Haojiang were recruited as the external validation cohort. A total of 95 clinical multidimensional variables, including demographics, lifestyle behaviors, symptoms, medical history, family history, physical examination, laboratory tests, and electrocardiogram (ECG) data were collected to identify candidate risk factors and characteristics. Risk factors were identified using least absolute shrinkage and selection operator (LASSO) models and multivariable Cox proportional hazards regression analysis. A nomogram predictive model for 1-, 3-, 5- and 8-year all-cause mortality was constructed. The accuracy and calibration of the nomogram prediction model were assessed using the concordance index (C-index), integrated Brier score (IBS), receiver operating characteristic (ROC), and calibration curves. The clinical validity of the model was assessed using decision curve analysis (DCA). Results Nine independent risk factors for 1-, 3-, 5-, and 8-year all-cause mortality were identified, including increased age, male, alcohol status, higher ","PeriodicalId":54292,"journal":{"name":"Epma Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135868575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Emerging frontiers of artificial intelligence and machine learning in ischemic stroke: a comprehensive investigation of state-of-the-art methodologies, clinical applications, and unraveling challenges","authors":"Yishu Fan, Zhenshan Song, Mengqi Zhang","doi":"10.1007/s13167-023-00343-3","DOIUrl":"https://doi.org/10.1007/s13167-023-00343-3","url":null,"abstract":"","PeriodicalId":54292,"journal":{"name":"Epma Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135973215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Causal relationship between gut Prevotellaceae and risk of sepsis: a two-sample Mendelian randomization and clinical retrospective study in the framework of predictive, preventive, and personalized medicine","authors":"Yinghao Luo, Yang Zhou, Pengfei Huang, Qianqian Zhang, Feiyu Luan, Yahui Peng, Jieling Wei, Nana Li, Chunying Wang, Xibo Wang, Jiannan Zhang, Kaijiang Yu, Mingyan Zhao, Changsong Wang","doi":"10.1007/s13167-023-00340-6","DOIUrl":"https://doi.org/10.1007/s13167-023-00340-6","url":null,"abstract":"","PeriodicalId":54292,"journal":{"name":"Epma Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135968631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development and validation of a short-form suboptimal health status questionnaire","authors":"Shuyu Sun, Hongzhi Liu, Zheng Guo, Qihua Guan, Yinghao Wang, Jie Wang, Yan Qi, Yuxiang Yan, Youxin Wang, Jun Wen, Haifeng Hou","doi":"10.1007/s13167-023-00339-z","DOIUrl":"https://doi.org/10.1007/s13167-023-00339-z","url":null,"abstract":"","PeriodicalId":54292,"journal":{"name":"Epma Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135878736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification of novel serum protein biomarkers in the context of 3P medicine for intravenous leiomyomatosis: a data-independent acquisition mass spectrometry-based proteomics study.","authors":"Zhitong Ge, Penghui Feng, Zijuan Zhang, Zhiyong Liang, Rong Chen, Jianchu Li","doi":"10.1007/s13167-023-00338-0","DOIUrl":"10.1007/s13167-023-00338-0","url":null,"abstract":"<p><strong>Background: </strong>Intravenous leiomyomatosis (IVL) is a rare endocrine-associated tumor with unique characteristics of intravascular invasion. This study aimed to identify reliable biomarkers to supervise the development or recurrence of IVL in the context of predictive, preventive, and personalized medicine (PPPM/3PM).</p><p><strong>Methods: </strong>A total of 60 cases were recruited to detect differentially expressed proteins (DEPs) in serum samples from IVL patients. These cases included those with recurrent IVL, non-recurrent IVL, uterine myoma, and healthy individuals without uterine myoma, with 15 cases in each category. Then, weighted gene co-expression network analysis (WGCNA), lasso-penalized Cox regression analysis (Lasso), trend clustering, and a generalized linear regression model (GLM) were utilized to screen the hub proteins involved in IVL progression.</p><p><strong>Results: </strong>First, 93 differentially expressed proteins (DEPs) were determined from 2582 recognizable proteins, with 54 proteins augmented in the IVL group, and the remaining proteins declined. These proteins were enriched in the modulation of the immune environment, mainly by activating the function of B cells. After the integrated analyses mentioned above, a model based on four proteins (A0A5C2FUE5, A0A5C2GPQ1, A0A5C2GNC7, and A0A5C2GBR3) was developed to efficiently determine the potential of IVL lesions to progress. Among these featured proteins, our results demonstrated that the risk factor A0A5C2FUE5 was associated with IVL progression (OR = 2.64). Conversely, A0A5C2GPQ1, A0A5C2GNC7, and A0A5C2GBR3 might act in a protective manner and prevent disease development (OR = 0.32, 0.60, 0.53, respectively), which was further supported by the multi-class receiver operator characteristic curve analysis.</p><p><strong>Conclusion: </strong>Four hub proteins were eventually identified based on the integrated bioinformatics analyses. This study potentiates the promising application of these novel biomarkers to predict the prognosis or progression of IVL by a 3PM approach.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s13167-023-00338-0.</p>","PeriodicalId":54292,"journal":{"name":"Epma Journal","volume":null,"pages":null},"PeriodicalIF":6.5,"publicationDate":"2023-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10713895/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83999715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}