Advances in Clinical Chemistry最新文献

The physin family of proteins, synaptophysin (SYP), synaptophysin like 1 (SYPL1), synaptophysin like 2 (SYPL2) and synaptoporin (SYNRP), are tetratransmembrane transport vesicle proteins distributed throughout the digestive system. Of these, SYP is a required marker for histopathologic identification of neuroendocrine neoplasms (NENs), especially in gastroenteropancreatic NENs (GEP-NENs). Recently, bloodstream SYP, i.e., on platelets and circulating tumor cells, has been correlated to clinicopathologic features of GEP-NENs and may have prognostic significance. Serum SYPL1 also represents a promising biomarker for colorectal cancer. This chapter provides an overview of physin structures and potential use as diagnostic, prognostic and therapeutic tools for digestive tract neoplasms.

Metabolic syndrome (MetS) is a global health challenge characterized as a group of risk factors for developing atherosclerotic cardiovascular disease. Although visceral adipose tissue, adipocyte dysfunction, chronic low-grade inflammation, and insulin resistance are fundamental to MetS, the exact biochemical mechanisms underlying this disease state remain unclear. Numerous biomarkers, however, have been proposed to improve our understanding of its complex pathophysiology and facilitate diagnosis. This review examines these biomarkers and clarifies their potential roles in the pathogenesis, diagnosis, prediction, progression, and severity of MetS and MetS-related disorders.

Antimicrobial resistance (AMR), especially bacterial AMR, poses a global threat to public health and has become a huge obstacle to the effective control of related infectious diseases. Following the golden age of antimicrobials discovery between the 1940s and 1960s, antimicrobial abuse resulted in the rapid emergence of AMR. Nowadays, the problem of AMR has become increasingly serious, and some bacteria have reached the brink of no suitable antimicrobials available. Rapid detection of AMR and level quantification are the prerequisites to control the spread of AMR. Although time-consuming, traditional phenotype-based methods are still the primary methods used in clinical laboratories and are regarded as the gold standard for AMR identification. To offset the limitation of the long turnaround time of phenotype-based methods, molecular detection methods such as polymerase chain reaction (PCR), isothermal amplification, high-throughput sequencing, gene microarray, and mass spectrometry have begun to be widely used and served as important complements to phenotype-based methods. This chapter will describe the advances in the above technologies applied in AMR testing.

In recent years, the comprehensive analysis of saliva, i.e., salivaomics, has played an increasing role in biomarker discovery for disease detection in general and cancer specifically. Saliva is a readily accessible, non-invasive and low-cost specimen that can be used to detect biomarkers of clinical relevance. Saliva-based "omics" technologies, which include proteomics, transcriptomics, metabolomics and microbiomics, have rapidly evolved and may be applicable in point-of-care detection, liquid biopsy and nanoscience. Advances in analytical methods has increased the scope and application of salivaomics from solely the oral cavity to the entire physiologic system, and accordingly to personalized medicine. In this chapter, we highlight recent advances in analytical approaches to identify and detect biomarkers in saliva and their potential use as diagnostic, prognostic and therapeutic markers with a focus on cancer.

Metabolomics is a powerful tool of omics that permits the simultaneous identification of metabolic perturbations in several autoimmune and chronic diseases. Several parameters can affect a metabolic profile, from the population characteristics to the selection of the analytical method. In the current chapter, we summarize the main analytical methods and results of the metabolic profiling of fatty and organic acids performed in human metabolomic studies for asthma, COPD, psoriasis and Hashimoto's thyroiditis. We discuss the most significant metabolic alterations associated with these diseases, after comparison of either a single patient's group with healthy controls or several patient's subgroups of different disease severity and phenotype with healthy controls or of a patient's group before and after treatment. Finally, we present critical metabolic patterns that are associated with each disease and their potency for the unraveling of disease pathogenesis, prediction, diagnosis, patient stratification and treatment selection.

Parathyroid hormone is an essential regulator of extracellular calcium and phosphate. PTH enhances calcium reabsorption while inhibiting phosphate reabsorption in the kidneys, increases the synthesis of 1,25-dihydroxyvitamin D, which then increases gastrointestinal absorption of calcium, and increases bone resorption to increase calcium and phosphate. Parathyroid disease can be an isolated endocrine disorder or part of a complex syndrome. Genetic mutations can account for diseases of parathyroid gland formulation, dysregulation of parathyroid hormone synthesis or secretion, and destruction of the parathyroid glands. Over the years, a number of different options are available for the treatment of different types of parathyroid disease. Therapeutic options include surgical removal of hypersecreting parathyroid tissue, administration of parathyroid hormone, vitamin D, activated vitamin D, calcium, phosphate binders, calcium-sensing receptor, and vitamin D receptor activators to name a few. The accurate assessment of parathyroid hormone also provides essential biochemical information to properly diagnose parathyroid disease. Currently available immunoassays may overestimate or underestimate bioactive parathyroid hormone because of interferences from truncated parathyroid hormone fragments, phosphorylation of parathyroid hormone, and oxidation of amino acids of parathyroid hormone.

Accurate, rapid and simple detection methods are required to facilitate early diagnosis of various disorders including infectious and lifestyle diseases as well as cancer. These detection approaches reduce the window of infection, i.e., the period between infection and reliable detection. Optimally, these methods should target protein as an indicator of pathogenic microbes as well as other biomarkers. For example, although nucleic acid is easily detected by polymerase chain reaction (PCR), these markers are also present in dead microbes, and, in the case of mRNA, it is not known whether this target was successfully translated. Accordingly, early diagnostic approaches require the development of ultrasensitive protein detection methods. In this chapter, we introduce an ultrasensitive enzyme-linked immunosorbent assay (ELISA) which combines a traditional sandwich-based immunoassay with thionicotinamide adenine dinucleotide (thio-NAD) cycling. The performance characteristics of this unique approach are reviewed as well as its potential role in providing a novel and ultrasensitive diagnostic tool in the clinical laboratory.

The field of diagnostics using invasive blood testing represents the majority of diagnostic tests used as part of routine health monitoring. The relatively recent introduction of salivary diagnostics has lead to a major paradigm shift in diagnostic analyses. Additionally, in this era of big data, oral fluid testing has shown promising outcomes in a number of fields, particularly the areas of genomics, microbiomics, proteomics, metabolomics, and transcriptomics. Despite the analytical challenges involved in the interpretation of large datasets generated from biochemical studies involving bodily fluids, including saliva, many studies have identified novel oral biomarkers for diagnosing oral and systemic diseases. In this regard, oral biofluids, including saliva, gingival crevicular fluid (GCF), peri-implant crevicular fluid (PICF), dentinal tubular fluid (DTF), are now attracting increasing attention due to their important attributes, such as noninvasive sampling, easy handling, low cost, and more accurate diagnosis of oral diseases. Recently, the utilization of salivary diagnostics to evaluate systemic diseases and monitor general health has increased in popularity among clinicians. Saliva contains a wide range of protein, DNA and RNA biomarkers, which assist in the diagnosis of multiple diseases and conditions, including cancer, cardiovascular diseases (CVD), auto-immune and degenerative diseases, respiratory infections, oral diseases, and microbial (viral, bacterial and fungal) diseases. Moreover, due to its noninvasive nature and ease-of-adoption by children, it is now being used in mass screening programs, oral health-related studies and clinical trials in support of the development of therapeutic agents. The recent advent of highly sensitive technologies, such as next-generation sequencing, mass spectrometry, highly sensitives ELISAs, and homogeneous immunoassays, suggests that even small quantities of salivary biomarkers are able to be assayed accurately, providing opportunities for the development of many future diagnostic applications (including emerging technologies, such as point-of-care and rapid molecular technologies). The present article explores the omics and biochemical compositions of various oral biofluids with important value in diagnostics and monitoring.