Advances in biomarker sciences and technology最新文献

Background

Methodology

Results

Conclusion

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.

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.

Background

The prognosis for glioma patients remains grim despite aggressive treatment approaches. Current molecular profiles have limitations in predicting glioma recurrence, highlighting the need for new and improved prognostic biomarkers. We investigated whether the growth kinetics of patient-derived glioma cultures (PDGCs) can offer valuable prognostic insights to predict tumor recurrence. Additionally, we examined the expression of glial-mesenchymal transition (GMT) markers in PDGCs to assess their potential as additional prognostic biomarkers.

Methods

130 patients diagnosed with primary glioma via MRI scans were prospectively enrolled. Surgical tumor tissues were collected from all participants and used to establish patient-derived glioma cultures (PDGCs). The growth kinetics and colony-forming ability of the respective PDGCs were calculated to derive proliferation index (PI) for each patient. Progression-free survival (PFS) and overall survival (OS) served as the primary outcome measures.

Results

We established short-term glioma cultures in 98 clinical samples, regardless of the CNS WHO tumor grade, IDH1/2 mutation and 19/19q codeletion status and maintained active cell proliferation for at least 10–12 passages. However, we observed two distinct growth kinetic patterns among PDGCs. Based on their proliferation index (PI), we categorized patients into either high proliferation index (HPI) or low proliferation index (LPI) group. Furthermore, we noted a differential expression profile of GMT markers between HPI and LPI patients. The proliferation index (PI) exhibited a significant correlation with progression-free survival (PFS), while the expression of GMT marker vimentin was associated with overall survival (OS).

Conclusion

The PDGC-derived Proliferation Index (PI) can serve as a predictive tool for tumor recurrence, independent of clinical or tumor-related factors. Moreover, reduced vimentin expression is a positive indicator for glioma patients' overall survival status.

Chronic disease is an irregular change inside or outside of the tissues and organs that results in accumulation, local damage, and inflammation or irritation. Suaeda aegyptiaca (S. aegyptiaca) is a plant that has been used for a long time for the treatment of human diseases. Therefore, the aim of this present research study is to prepare various plant extracts and screen their antioxidant activity spectroscopically, and later on to isolate antioxidant biomarkers from the significantly highest active crude extract of the aerial parts of S. aegyptiaca. To attain the present objectives, different crude extracts were prepared from the aerial parts of S. aegyptiaca by using a maceration method. The antioxidant and cytotoxic activities of the prepared aerial crude extracts of S. aegyptiaca were determined by 2,2-diphenyl-1-1-picrylhydrazyl (DPPH) and brine shrimp lethality (BSL) methods, respectively. All the prepared aerial crude extracts of the particular plant at six different concentrations showed significant antioxidant activity against the DPPH. The ethyl acetate crude extract showed the highest antioxidant activity, and the lowest activity was in the butanol extract. However, all the aerial crude extracts of S. aegyptiaca were prepared at different concentrations did not show any activity against the BSL method. Based on the antioxidant activity results, the ethyl acetate extract was selected for the isolation of antioxidant compounds. The extract was purified using column chromatography by using different solvent ratios. A series of test tubes were collected with a volume of 3 mL and depending on the similar retention mobility (R_f) behavior, a total of twelve fractions were prepared. Similarly, the antioxidant activity of the obtained twelve fractions from column chromatography was determined by the same DPPH method. All the fractions showed significant antioxidant activity. Among the fractions from the column, fraction 6 gave the highest antioxidant activity and the lowest was fraction 1. In conclusion, all the aerial extracts showed promising activities against DPPH and the fraction with the highest antioxidant activity could be used as natural antioxidant biomarkers to prevent cell damage.

The recent global pandemic has highlighted an increase in the prevalence of communicable diseases caused by pathogens. The swift transmission of these diseases within a short timeframe presents a substantial risk to public health worldwide. The inefficiency of traditional diagnostic instruments, which need a time-consuming and complex process in the laboratory, is a significant obstacle to medical care. Currently, there is a high need for the advancement of early detection in order to rapidly diagnose infectious diseases and provide on-site results. This is crucial for prompt and early intervention to improve treatment outcomes. This also provides rapid testing and high-quality microbiological detection, comparable to laboratory standards, in a matter of minutes. Prompt diagnosis and subsequent treatment optimization aid in controlling the spread of infectious diseases. Currently, ongoing techniques and methods are used in the advancements of early detection through biosensors. This review examines the integration of early diagnostics with biosensors, specifically in relation to emerging and re-emerging infectious diseases, challenges, and the future perspective.

The aim of the present study was to make a polyherbal formulation of three herbs that would offset the negative effects of the high-fat cafeteria diet on rats and the beneficial effects of exercise. The ingredients for this herbal remedy included a water extract of Garcinia cambogia fruit, Trigonella foenum-graecum seed, and Glycyrrhiza glabra root in a 1:1:1 ratio. Nine groups of six male Wistar albino rats were chosen. Animals in Group I were normal and fed a standard diet; animals in Group II were given HFCD to prevent disease; animals in Group III were given HFCD plus exercise; while animals in Groups IV and V were given PHF at doses of 400 and 200 mg/kg p. o. Daily, respectively, in addition to HFCD; while animals in Groups VI and VII were exercised obese rats prevented from gaining more weight had their serum glucose, total cholesterol, triglycerides, low-density lipoprotein cholesterol, and very low-density lipoprotein cholesterol levels lowered. HDL cholesterol was raised. Further, the liver biopsy showed increased mononuclear cells; fat globules numbered less; and the enzymes and cells that are regenerating were at lower levels. The polyherbal formulation plus exercise exhibited significant anti-obesity efficacy at 400 mg/kg p. o.; the effect was equivalent to orlistat plus exercise. The research employed HFCD-induced obese rats as a model to investigate the joint effects of PHF and exercise against obesity.