Biomedical Journal最新文献

Background

This study aimed to evaluate the performance of a modified U.S. (MUS) model for risk prediction of cardiovascular (CV) events in Asian patients and compare it to European and Japanese models.

Methods

The MUS model, based on the US ACC/AHA 2018 lipid treatment guideline, was employed to stratify patients under primary or secondary prevention. Two multi-center prospective observational registry cohorts, T-SPARCLE and T-PPARCLE, were used to validate the scoring system, and the primary outcome was the time to first occurrence/recurrence of major adverse cardiac events (MACEs). The MUS model's performance was compared to other models from Europe and Japan.

Results

A total of 10,733 patients with the mean age of 64.2 (SD: 11.9) and 36.5% female were followed up for a median of 5.4 years. The MUS model was validated, with an AUC score of 0.73 (95% CI 0.68–0.78). The European and Japanese models had AUC scores ranging from 0.6 to 0.7. The MUS model categorized patients into four distinct CV risk groups, with hazard ratios (HRs) as follows: very high- vs. high-risk group (HR = 1.91, 95% CI 1.53–2.39), high- vs. moderate-risk group (HR = 2.08, 95% CI 1.60–2.69), and moderate- vs. low-risk group (HR = 3.14, 95% CI 1.63–6.03). After adjusting for the MUS model, a history of atherosclerotic vascular disease (ASCVD) was not a significant predictor of adverse cardiovascular outcomes within each risk group.

Conclusion

The MUS model is an effective tool for risk stratification in Asian patients with and without ASCVD, accurately predicting MACEs and performing comparably or better than other established risk models. Our findings suggest that patient management should focus on background risk factors instead of solely on primary or secondary prevention.

This issue of the Biomedical Journal features a special section exploring mycobiota. Three articles examine the role of fungi in common metabolic disorders in, Clostridium difficile infection, and in immunocompromised patients. Additionally, the potential and challenges of the metaverse in healthcare are reviewed, alongside a holistic approach to improve patient outcomes in pancreatic cancer. In this issue also possible mechanism contributing to long COVID are discussed, as well as biomarkers that effectively predict sepsis outcomes, and key targets in osteosarcoma progression. Moreover, factors leading to peri-intubation cardiac arrest are analyzed, healthcare strategies from various regions are employed to predict cardiovascular events in Asian populations, two approaches to cavernous sinus dural arteriovenous fistula are compared, and a combination therapy against soft tissue sarcoma is presented.

Background

Biomarker dynamics in different time-courses might be the primary reason why a static measurement of a single biomarker cannot accurately predict sepsis outcomes. Therefore, we conducted this prospective hospital-based cohort study to simultaneously evaluate the performance of several conventional and novel biomarkers of sepsis in predicting sepsis-associated mortality on different days of illness among patients with suspected sepsis.

Methods

We evaluated the performance of 15 novel biomarkers including angiopoietin-2, pentraxin 3, sTREM-1, ICAM-1, VCAM-1, sCD14 and 163, E-selectin, P-selectin, TNF-alpha, interferon-gamma, CD64, IL-6, 8, and 10, along with few conventional markers for predicting sepsis-associated mortality. Patients were grouped into quartiles according to the number of days since symptom onset. Receiver operating characteristic curve (ROC) analysis was used to evaluate the biomarker performance.

Results

From 2014 to 2017, 1483 patients were enrolled, of which 78% fulfilled the systemic inflammatory response syndrome criteria, 62% fulfilled the sepsis-3 criteria, 32% had septic shock, and 3.3% developed sepsis-associated mortality. IL-6, pentraxin 3, sCD163, and the blood gas profile demonstrated better performance in the early days of illness, both before and after adjusting for potential confounders (adjusted area under ROC curve [AUROC]:0.81–0.88). Notably, the Sequential Organ Failure Assessment (SOFA) score was relatively consistent throughout the course of illness (adjusted AUROC:0.70–0.91).

Conclusion

IL-6, pentraxin 3, sCD163, and the blood gas profile showed excellent predictive accuracy in the early days of illness. The SOFA score was consistently predictive of sepsis-associated mortality throughout the course of illness, with an acceptable performance.

Background

Given the heterogeneity and high mortality associated with metastatic soft tissue sarcoma, this study aims to evaluate the therapeutic efficacy of combining ¹⁷⁷Lu-FAPI-46 with Pazopanib against this malignancy.

Methods

Patient-derived xenograft (PDX)-bearing mice were randomly divided into three groups: the control group, the ¹⁷⁷Lu-FAPI-46 monotherapy group, and the ¹⁷⁷Lu-FAPI-46 combined with Pazopanib therapy group. Therapeutic efficacy was regularly monitored.

Results

The microPET imaging showed a 0.84-fold decrease in the T/M ratio of 68Ga-FAPI-46 on day 7/8 post combination therapy, while the control group exhibited a 1.23-fold increase. Combination therapy significantly inhibited tumor proliferation, as evidenced by reduced Ki-67 and increased caspase 3 expressions. Notably, there was no significant body weight loss observed in any group.

Conclusion

This study successfully demonstrated the reduction in FAP expression and suppression of tumor volume in sarcoma PDX following the combination therapy of ¹⁷⁷Lu-FAPI-46 with Pazopanib.

The Metaverse has gained wide attention for being the application interface for the next generation of Internet. The potential of the Metaverse is growing, as Web 3·0 development and adoption continues to advance medicine and healthcare. We define the next generation of interoperable healthcare ecosystem in the Metaverse. We examine the existing literature regarding the Metaverse, explain the technology framework to deliver an immersive experience, along with a technical comparison of legacy and novel Metaverse platforms that are publicly released and in active use. The potential applications of different features of the Metaverse, including avatar-based meetings, immersive simulations, and social interactions are examined with different roles from patients to healthcare providers and healthcare organizations. Present challenges in the development of the Metaverse healthcare ecosystem are discussed, along with potential solutions including capabilities requiring technological innovation, use cases requiring regulatory supervision, and sound governance. This proposed concept and framework of the Metaverse could potentially redefine the traditional healthcare system and enhance digital transformation in healthcare. Similar to AI technology at the beginning of this decade, real-world development and implementation of these capabilities are relatively nascent. Further pragmatic research is needed for the development of an interoperable healthcare ecosystem in the Metaverse.

Transplant patients, including solid-organ transplant (SOT) and hematopoietic stem cell transplant (HSCT) recipients, are exposed to various types of complications, particularly rejection. To prevent these outcomes, transplant recipients commonly receive long-term immunosuppressive regimens that in turn make them more susceptible to a wide array of infectious diseases, notably those caused by opportunistic pathogens. Among these, invasive fungal infections (IFIs) remain a major cause of mortality and morbidity in both SOT and HSCT recipients. Despite the continuing improvement in early diagnostics and treatments of IFIs, the management of these infections in transplant patients is still complicated. Here, we provide an overview concerning the most recent trends in the epidemiology of IFIs in SOT and HSCT recipients by describing the prominent yeast and mold species involved, the timing of post-transplant IFIs and the risk factors associated with their occurrence in these particularly weak populations. We also give special emphasis into basic research advances in the field that recently suggested a role of the global and long-term prophylactic regimen in orchestrating various biological disturbances in the organism and conditioning the emergence of the most adapted fungal strains to the particular physiological profiles of transplant patients.

Clostridioides difficile, the etiological agent of C. difficile infection (CDI), elicits a spectrum of diarrheal symptoms with varying severity and the potential to result in severe complications such as colonic perforation, pseudomembranous colitis, and toxic megacolon. The perturbation of gut microbiome, often triggered by antibiotic usage, represents the primary factor augmenting the risk of CDI. This underscores the significance of interactions between C. difficile and the microbiome in determining pathogen adaptability. In recent years, researchers have increasingly recognized the pivotal role played by intestinal microbiota in host health and its therapeutic potential as a target for medical interventions. While extensive evidence has been established regarding the involvement of gut bacteria in CDI, our understanding of symbiotic interactions between hosts and fungi within intestinal microbiota remains limited. Herein, we aim to comprehensively elucidate both composition and key characteristics of gut fungal communities that significantly contribute to CDI, thereby enhancing our comprehension from pharmacological and biomarker perspectives while exploring their prospective therapeutic applications for CDI.

The microbiota and its effect on health has been extensively studied over the past decade. In many studies, the term microbiota has become synonymous with the bacterial component of the microbiota. Other microbes in the microbiota, such as viruses and fungi, have been neglected until recently. This special issue provides some background on the mycobiota and explores the role of gut fungi in human diseases such as cancer, metabolic diseases, and infection by Clostridiodes difficile, and describes the incidence of fungal infections in transplant patients. The mycobiota, once overlooked, now garners increasing attention.

Pancreatic cancer is a highly aggressive malignancy with a poor prognosis. Over the past decade, significant therapeutic advancements have improved the survival rates of patients with pancreatic cancer. One of the primary factors contributing to these positive outcomes is the evolution of chemotherapy, from monotherapy to doublet or triplet regimens, and the integration of multimodal approaches. Additionally, targeted agents tailored to patients with specific genetic alterations and the development of cell therapies show promise in benefiting certain subpopulations. This article focuses on examining pivotal studies that explore the role of chemotherapy in neoadjuvant, adjuvant, maintenance, and salvage settings; highlights interesting findings related to cell therapy; and provides an overview of ongoing trials concerning metastatic settings. This review primarily aimed to offer recommendations based on therapeutic evidence, recent advancements in new treatment combinations, and the most innovative approaches. A unique aspect of this review is the inclusion of published papers on clinical trials and real-world data in Taiwan, thus adding a valuable perspective to the overall analysis.

After transplantation of allogeneic tissues and organs, recognition by recipient T cells of donor MHC molecules initiates the pro-inflammatory adaptive immune response leading to allograft rejection. T cell allorecognition has long been known to be mediated via two distinct pathways: the direct pathway in which T cells recognize intact allogeneic MHC molecules displayed on donor cells and the indirect pathway whereby T cells recognize donor MHC peptides processed and presented by recipient antigen-presenting cells (APCs). It is believed that direct allorecognition is the driving force behind early acute allograft rejection while indirect allorecognition is involved in chronic allograft rejection, a progressive condition characterized by graft vasculopathy and tissue fibrosis. Recently, we and others have reported that after transplantation of allogeneic skin and organs, donor MHC molecules are transferred from donor cells to the host's APCs via trogocytosis or extracellular vesicles. Recipient APCs having captured donor MHC molecules can either present them to T cells in their intact form on their surface (semi-direct pathway) or the form of peptides bound to self-MHC molecules (indirect pathway). The present article provides an overview of recent studies evaluating the role of intercellular exchange of MHC molecules in T cell alloimmunity and its contribution to allograft rejection and tolerance.