Advances in Clinical Chemistry最新文献

Nonalcoholic fatty liver disease (NAFLD) affects a quarter of the adult world population and the degree of liver fibrosis represents the best predictor of the development of liver-related outcomes. Easily applicable and well performing non-invasive fibrosis tests can overcome the limitations of liver biopsy and are of paramount importance to identify at-risk subjects in clinical practice. While tests with optimal performance and ease of use do not exist at this stage, available markers can be divided in three broad groups: simple serum tests, complex serum tests and elastographic methods. Simple scores (such as Fibrosis-4 and NAFLD Fibrosis Score) are based on readily available biochemical data and clinical features, while complex/proprietary tests (such as Fibrotest, Enhanced Liver Fibrosis and Hepascore) directly measure markers of fibrogenesis and fibrolysis, but have higher costs. Elastography techniques estimate the degree of fibrosis from liver stiffness and are based on either ultrasound or magnetic resonance (MR) imaging. MR elastography has better performance compared with sonographic techniques and is not affected by obesity and inflammation, but is highly costly and less available. In general, non-invasive tests are able to exclude the presence of fibrosis, but their positive predictive value is low to moderate and they lead to a high number of indeterminate results. In this context, a combination of different tests might increase accuracy while reducing gray-zone results. Their ability to predict future events and response to treatment is suboptimal and needs to be studied further. Finally, recent studies have tried different approaches, spanning from "omics" to the microbiome and micro-RNAs, with some promising results.

Coronavirus disease (COVID-19) is an infectious disease caused by a newly discovered coronavirus, severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2). There is growing evidence that host genetics play an important role in COVID-19 severity. Based on current knowledge about the human protein machinery for SARS-CoV-2 entry, the host innate immune response, and virus-host interactions, the potential effects of human genetic polymorphisms, which may contribute to clinical differences in SARS-CoV-2 pathogenesis, may help to determine the individual risk for COVID-19 infection and outcome.

Although the measurement of aminoglycosides and glycopeptides in blood has been well established, it has become evident that therapeutic drug monitoring (TDM) should be extended to other antibiotics such as beta-lactams, daptomycin and linezolid. The use of a TDM guided approach allows reliable assessment of target concentration thus mitigating the risk for toxicity and preventing antibiotic resistance. This is especially relevant for the critically ill in intensive care. Herein we provide an overview on the different antibacterial antibiotics and their target pharmacokinetic/pharmacodynamic indexes in general as well as the importance for TDM of antibacterial antibiotics specifically. Analytical methods applicable to this approach in clinical laboratories are explored and highlighted.

Sports genomics is the scientific discipline that focuses on the organization and function of the genome in elite athletes, and aims to develop molecular methods for talent identification, personalized exercise training, nutritional need and prevention of exercise-related diseases. It postulates that both genetic and environmental factors play a key role in athletic performance and related phenotypes. This update on the panel of genetic markers (DNA polymorphisms) associated with athlete status and soft-tissue injuries covers advances in research reported in recent years, including one whole genome sequencing (WGS) and four genome-wide association (GWAS) studies, as well as findings from collaborative projects and meta-analyses. At end of 2020, the total number of DNA polymorphisms associated with athlete status was 220, of which 97 markers have been found significant in at least two studies (35 endurance-related, 24 power-related, and 38 strength-related). Furthermore, 29 genetic markers have been linked to soft-tissue injuries in at least two studies. The most promising genetic markers include HFE rs1799945, MYBPC3 rs1052373, NFIA-AS2 rs1572312, PPARA rs4253778, and PPARGC1A rs8192678 for endurance; ACTN3 rs1815739, AMPD1 rs17602729, CPNE5 rs3213537, CKM rs8111989, and NOS3 rs2070744 for power; LRPPRC rs10186876, MMS22L rs9320823, PHACTR1 rs6905419, and PPARG rs1801282 for strength; and COL1A1 rs1800012, COL5A1 rs12722, COL12A1 rs970547, MMP1 rs1799750, MMP3 rs679620, and TIMP2 rs4789932 for soft-tissue injuries. It should be appreciated, however, that hundreds and even thousands of DNA polymorphisms are needed for the prediction of athletic performance and injury risk.

Parkinson's disease (PD) is characterized by complex motor and non-motor symptoms that vary in onset, severity, response to treatment, and disability. The unpredictable and debilitating nature of PD and the inability to halt or slow disease progression may result in distress. Stress may exacerbate biological mechanisms believed to contribute to neuronal loss in PD and lead to increased symptoms and poorer outcomes. The purpose of this chapter is to summarize and appraise animal and human research studies focused on stress-related biological mechanisms in PD, and to examine the relationship between stress and a variety of genetic, clinical and biochemical aspects of this debilitating disease.

Traditional clinical toxicology involves the analysis of patient urine samples by immunoassays designed to detect opiates/opioids, amphetamine/methamphetamine, benzodiazepines, barbiturates, cocaine metabolite and tetrahydrocannabinol. Expanded drug screens may also include assays for oxycodone, buprenorphine, methadone, 6-monoacetylmorphine, phencyclidine and fentanyl. Patient samples that are positive are commonly reflexed to be run on a liquid chromatography-tandem mass spectrometry confirmatory assay, as are samples that are negative for drugs that are prescribed to the patient. These mass spectrometry assays are targeted and so only detect the drugs or drug metabolites that they were designed to detect. With the explosion of new psychoactive substances in the past decade, it has become necessary for clinical laboratories to reevaluate traditional targeted drug screening approaches. The utility of high-resolution mass spectrometry in this arena has been recognized and this review will discuss the traditional approach to, and the recent advances in clinical toxicology including data collection and interrogation strategies for new psychoactive substances using high-resolution mass spectrometry (HRMS). Various modes of data processing techniques including targeted analysis, suspect screening and non-targeted analysis will also be described using HRMS. Several published methods will be described to demonstrate the utility of various data acquisition and processing techniques using HRMS in NPS analysis specifically.

Metadherin (AEG-1/MTDH/LYRIC) is a 582-amino acid transmembrane protein, encoded by a gene located at chromosome 8q22, and distributed throughout the cytoplasm, peri-nuclear region, nucleus, and nucleolus as well as the endoplasmic reticulum (ER). It contains several structural and interacting domains through which it interacts with transcription factors such as nuclear factor-κB (NF-κB), promyelocytic leukemia zinc finger (PLZF), staphylococcal nuclease domain containing 1 (SND1) and lung homing domain (LHD). It is regulated by miRNAs and mediates its oncogenic function via activation of cell proliferation, survival, migration and metastasis, as well as, angiogenesis and chemoresistance via phosphatidylinositol-3-kinase/AKT (PI3K/AKT), NF-κB, mitogen-activated protein kinase (MAPK) and Wnt signaling pathways. In this chapter, metadherin is reviewed highlighting its role in mediating growth, metastasis and chemoresistance in colorectal cancer (CRC). Metadherin, as well as its variants, and antibodies are associated with CRC progression, poorer prognosis, decreased survival and advanced clinico-pathology. The potential of AEG-1/MTDH/LYRIC as a diagnostic and prognostic marker as well as a therapeutic target in CRC is explored.