Advances in biomarker sciences and technology最新文献

Persistent inflammation can trigger the development of colorectal cancer, especially in patients with inflammatory bowel disease (IBD). The precise molecular mechanisms underlying this process are not fully understood. This study investigated the molecular modifications that occur in the cellular microenvironment during inflammation-induced and colitis-associated cancers. Studies showed that genetic mutations and post-translational modifications of oncogene proteins can alter the biological functions of macrophage inflammatory proteins, complicating the intricate interactions between inflammation and cancer. The researchers also observed abnormal glycosylation patterns in cases of inflammation and colitis-associated cancers. This observation suggests that glycoproteins present in bodily fluids could potentially serve as valuable disease markers. Additionally, the researchers investigated general signaling alterations that manifest in cases of colitis-associated cancer. They proposed a provisional molecular model that suggests the involvement of endoplasmic reticulum (ER) stress during the transition from inflammation to cancer. This potential pathway is mediated through the FKBP/c-Myc/p53 signaling axis. In the context of protein glycosylation, we summarize the potential molecular mechanisms of IBD-induced carcinogenesis. This knowledge could potentially lead to the development of novel targets for the clinical treatment of colorectal cancer.

Background

Biliary atresia (BA) is a disease of the intrahepatic or extrahepatic bile ducts with an unknown etiology. It presents in neonates with jaundice, clay-colored stool, and often hepatomegaly. Early diagnosis of the disease is pivotal for long-term prognosis. If the BA is left untreated, progressive liver cirrhosis and death can occur. Persisting jaundice in infants born at term should lead to further examination of liver diseases. A range of laboratory analyses is used, but none is specific for BA. In this review, we investigate whether the level of matrix metalloproteinase 7 (MMP-7) in serum can be used as an early diagnostic biomarker for BA.

Method

A systematic literature search of the PubMed database revealed the two terms “matrix metalloproteinase 7” and “biliary atresia”. A total of 24 articles were identified; these articles were screened, and eight articles were found to be relevant for this literature review, each describing an independent study.

Results

In all eight articles, the diagnostic cut-off values for serum MMP-7 in BA patients vs. non-BA patients were determined by receiver operating characteristic (ROC) curve analysis and by determining the area under the curve (AUC). The AUC ranged from 0.96 to 0.99. All studies had a sensitivity of 95 % or above and a specificity of 83 % or above. The cut-off values were discordant and ranged from 1.43 ng/ml to 52.85 ng/ml. The calculated positive likelihood ratio (PLR) varied from 5.66 to 21.86, and the negative likelihood ratio (NLR) varied from 0.01 to 0.05 among the eight studies. Finally, the diagnostic odds ratio (DOR) varied from 168.64 to 1406.00 in seven out of the eight studies.

Conclusion

The serum MMP-7 concentration can be used as a diagnostic biomarker according to the eight studies investigated in this review. However, further assessments of MMP-7 in larger, multicenter, and multiethnic studies are needed to validate its potential for biomarker development and, ultimately, its standard use in clinical practice.

The progress made in the field of nanotechnology has resulted in the development of nanomedicine agents, which have demonstrated their efficacy as a promising clinical tool in the fight against different types of cancers. Furthermore, Nanomedicine products possess the potential to achieve intricate targeting strategies and multifunctionality. Currently, nanoparticles possess diverse applications across various scientific disciplines and serve as a crucial component in contemporary medical practices. The specimens have undergone analysis for diverse clinical purposes, including serving as drug carriers, delivering tumor genes, and functioning as contrast compounds in imaging. Diverse nanomaterials derived from organic, inorganic, lipid, or glycan compounds, in addition to synthetic polymers, have been employed to advance and enhance novel cancer therapeutics. The present review centers on the utilization of nanoparticles in clinical settings for the purposes of cancer diagnosis and treatment, with a particular emphasis on their function as drug carriers and targeted therapy agents.

Lean 4.0, a fusion of lean manufacturing and digital technologies, is a powerful tool for implementing Industry 4.0. Its widespread use across sectors is driven by its ability to eliminate waste, reduce errors, boost revenue, and enhance customer care and efficiency. In the healthcare sector, this fourth lean revolution is particularly beneficial, as it helps to curb wastage and enhance efficiency, leading to more effective outcomes. Lean 4.0, a globally recognized best practice for industrial organisations, has proven its worth in enhancing performance and competitiveness. Its success has led to its adoption not only in manufacturing but also in non-manufacturing sectors such as Healthcare, finance, telecommunications, construction, and logistics. Its ease of use and effectiveness make it a superior alternative to traditional medical waste management techniques. Relevant papers on Lean 4.0 for Healthcare in the current literature are identified and studied to evaluate the impact of Lean 4.0 principles in Healthcare. This review-based research studies Lean 4.0 technologies and their needs in Healthcare. It discusses sustainable support for the healthcare sphere through Lean 4.0. Paper briefs several modalities of Lean 4.0 for the healthcare domain. Finally, the paper identifies and discusses the significant applications of Lean 4.0 in Healthcare. Lean 4.0 is essential to lowering errors that lead to medical mistakes since this business deals with life-or-death situations. Healthcare institutions need to reduce their overall waste reduction. With Lean 4.0, staff members working in quality management, clinical operations, consulting, and patient experience can progress into leadership roles in the healthcare sector. Lean 4.0 technologies can reduce waste production, including employing reusable medical equipment or cutting down on packaging waste. The possible difficulty of integrating digital technologies with healthcare systems and practices is Lean 4.0's limitations for the healthcare industry. Healthcare institutions can use refillable syringes and other disposable items to reduce waste rather than disposable plastic syringes. In future, healthcare institutions may save costs and lessen their environmental effect by minimising trash by using lean 4.0 technologies.

Lung cancer remains a global health crisis, responsible for significant morbidity and mortality. Late-stage diagnosis often limits treatment options and patient survival. Therefore, identifying reliable and sensitive biomarkers for early detection is crucial. Glycosylation, the addition of glycans to protein/RNA/lipid, is a vital cellular process. Normal glycosylation regulates healthy cell function, while alterations, particularly in fucosylation and sialylation, contribute to lung cancer development and progression. These aberrant glycosylation patterns are associated with processes such as immune modulation, cell migration, proliferation, and cell-cell recognition. Fucosylation, a specific type of glycosylation, is frequently altered in lung cancer, with high levels detected in tumors. Understanding the mechanisms behind this altered fucosylation holds immense potential. It can pave the way for the development of novel therapeutic and diagnostic tools for lung cancer. By analyzing specific fucosylation patterns in bodily fluids, it could lead to early-stage diagnosis. This review delves into the mechanisms of fucosylation in lung cancer initiation and metastasis, proposing promising strategies to target the mechanisms, aiming to inhibit tumor growth and disease progression.

The current study is related to fabrication of point-of-care molecularly imprinted paper-based analytical devices, specifically related to ovarian cancer early stage detection. The task involves creating a paper coated with silver nanoparticles (AgNPs) that can be used as a transducer via surface enhanced Raman spectroscopy (SERS) to detect the threshold level of the biomarker lysophosphatidic acid (LPA) as a template molecule to diagnose ovarian cancer. MIPs are synthetic receptors designed for a targeted molecule which are prepared from polymers in the presence of target such as small molecules, proteins or cells etc. Removal of the template results in cavities which are structurally and electrostatically complementary to the template molecule. The molecularly imprinted polymer (MIP) layer was anchored on vinyl trimethoxy silane modified-paper, which served as a detector by hydrolytically modifying the paper surface with vinyl trimethoxy silane. To detect LPA in serum samples for ovarian cancer, MIP-paper based on SERS was developed. Patients with benign ovarian tumors had an LPA level of 7.73 μM whereas those with ovarian cancer have a level of 16.99 μM. A healthy person's LPA level is 2.92 μM. Consequently, the rise in LPA levels may aid in the early detection of ovarian cancer. The study refers to the use of a point of care device to diagnose ovarian cancer early, which should be simple, effective, and cost-effective. The analytical tool in the study is a sensor with high selectivity and sensitivity, quick assay times, and inexpensive costs. For LPA in serum, the binding constant of modified paper-based MIP ranges from 11.00 μM to 0.08 μM. The amalgamation of nanoparticles on 2D-paper with MIP have lead to develop sensor which can effectively select LPA in untreated real samples like serum.

Faecal Microbial Transplantation (FMT), have been shown to be successfully managed along with a variety of gastrointestinal disorders, including Clostridioides difficile infection (CDI), inflammatory bowel disease (IBD), and irritable bowel syndrome (IBS). FMT is a medical procedure that involves a donor transferring healthy gut bacteria to the recipient. The effectiveness of FMT is thought to be due to the ability of the healthy gut to restore balance to the recipient's microbiome, which is the community of microorganisms that inhabit the gastrointestinal tract. One of the key advantages of FMT is that it is a relatively simple and low-cost treatment option, compared to other therapies that may be more invasive or require long-term medication use. However, FMT is not without its limitations, including the potential for the transfer of infectious agents from the donor to the recipient and the potential for negative side effects in some patients. In this research, we discuss the current state of the evidence on FMT, including its potential benefits and risks, as well as future directions for research in this area.

Objective

To explore whether differences between male rats on the next day of mating and on the day of mating can be reflected by the urine proteome.

Methods

Urine samples were collected from male Sprague-Dawley rats on the day of mating and the next day of mating. Urine samples were analysed by the label-free quantitative proteomics technique of high-performance liquid chromatography tandem mass spectrometry (LC-MS/MS). Differential proteins of the urine proteome were analysed for protein function and biological pathways.

Results

54 differential proteins were identified by comparing the urine proteome of rats on the next day of mating with that on the day of mating, and nearly two-thirds of the differential proteins were related to spermatogenesis.

Conclusions

The urine proteome has the potential to reflect spermatogenesis without interfering with it.

Introduction

Methods

Results

Conclusion

Cognitive computing represents a groundbreaking development in healthcare, encompassing technological platforms that emulate the human brain's functionality. While cloud computing offers on-demand internet access to computing resources and services, cognitive computing focuses on modelling human mental processes to tackle complicated issues. Cognitive computing enhances human decision-making by integrating reasoning, machine learning, speech, natural language processing (NLP), and human-computer interaction. In the healthcare sector, it facilitates the analysis of clinical and genetic data to forecast diseases, tailor therapies, and elevate drug development. Additionally, it combines data analysis with adaptive page displays to tailor content based on the audience. Relevant papers in cognitive computing for healthcare were identified and studied. This paper aims to undertake an extensive scopic review of the pertinent literature from various sources, including articles and documents from numerous journals and conference proceedings. It delves into the need for cognitive computing in healthcare, elucidates supportive technologies, and expounds on its features within the healthcare domain. Furthermore, it identifies and discusses the substantial applications of cognitive computing in healthcare. These systems utilise computer models to replicate human cognitive processes, streamlining administrative tasks through artificial intelligence and cognitive computing. As a result, healthcare administrators can allocate more of their valuable time to patient care. Cognitive computing enhances outcomes and practitioner productivity and improves treatment decisions. The self-learning system of cognitive computing relies on real-time patient data, medical transcripts, and other pertinent information. These technologies can reduce the administrative burden on healthcare workers by automating tasks such as invoicing, claims processing, and appointment scheduling. This technology is poised to become increasingly indispensable in precision medicine.