Objectives: Cardiac myosin-binding protein C (cMyC) is a novel biomarker of myocardial injury, with a promising role in the triage and risk stratification of patients presenting with acute cardiac disease. In this study, we assess the weekly biological variation of cMyC, to examine its potential in monitoring chronic myocardial injury, and to suggest analytical quality specification for routine use of the test in clinical practice.
Methods: Thirty healthy volunteers were included. Non-fasting samples were obtained once a week for ten consecutive weeks. Samples were tested in duplicate on the Erenna platform by EMD Millipore Corporation. Outlying measurements and subjects were identified and excluded systematically, and homogeneity of analytical and within-subject variances was achieved before calculating the biological variability (CV and CV), reference change values (RCV) and index of individuality (II).
Results: Mean age was 38 (range, 21-64) years, and 16 participants were women (53%). The biological variation, RCV and II with 95% confidence interval (CI) were: CV (%) 19.5 (17.8-21.6), CV (%) 17.8 (14.8-21.0), CV (%) 66.9 (50.4-109.9), RCV (%) 106.7 (96.6-120.1)/-51.6 (-54.6 to -49.1) and II 0.42 (0.29-0.56). There was a trend for women to have lower CV The calculated RCVs were comparable between genders.
Conclusions: cMyC exhibits acceptable RCV and low II suggesting that it could be suitable for disease monitoring, risk stratification and prognostication if measured serially. Analytical quality specifications based on biological variation are similar to those for cardiac troponin and should be achievable at clinically relevant concentrations.
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http://dx.doi.org/10.1515/cclm-2021-0306 | DOI Listing |
Clin Exp Med
January 2025
Department of Thoracic Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China.
Introduction Recently, immune cells within the tumor microenvironment (TME) have become crucial in regulating cancer progression and treatment responses. The dynamic interactions between tumors and immune cells are emerging as a promising strategy to activate the host's immune system against various cancers. The development and progression of hepatocellular carcinoma (HCC) involve complex biological processes, with the role of the TME and tumor phenotypes still not fully understood.
View Article and Find Full Text PDFMol Biol Rep
January 2025
Zoological Survey of India, Kolkata, 700053, India.
Background: The endangered Kashmir musk deer (Moschus cupreus), native to high-altitude Himalayas, is an ecological significant and endangered ungulate, threatened by habitat loss and poaching for musk pod distributed in western Himalayan ranges of India, Nepal and Afghanistan. Despite its critical conservation status and ecological importance in regulating vegetation dynamics, knowledge gaps persist regarding its population structure and genetic diversity, hindering effective management strategies.
Methods And Results: We aimed to understand the population genetics of Kashmir musk deer in north-western Himalayas using two mitochondrial DNA (mtDNA) regions and 11 microsatellite loci.
Appl Microbiol Biotechnol
January 2025
Process Synthesis and Process Dynamics, Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany.
The production of biodegradable and biobased polymers is one way to overcome the present plastic pollution while using cheap and abundant feedstocks. Polyhydroxyalkanoates are a promising class of biopolymers that can be produced by various microorganisms. Within the production process, batch-to-batch variation occurs due to changing feedstock composition when using waste streams, slightly different starting conditions, or biological variance of the microorganisms.
View Article and Find Full Text PDFEpigenetics
December 2025
Department of Anthropology, Dartmouth College, Hanover, NH, USA.
Menstrual effluent cell profiles have potential as noninvasive biomarkers of female reproductive and gynecological health and disease. We used DNA methylation-based cell type deconvolution (methylation cytometry) to identify cell type profiles in self-collected menstrual effluent. During the second day of their menstrual cycle, healthy participants collected menstrual effluent using a vaginal swab, menstrual cup, and pad.
View Article and Find Full Text PDFMol Ecol
January 2025
Department of Biology, Colorado State University, Fort Collins, Colorado, USA.
Identifying populations at highest risk from climate change is a critical component of conservation efforts. However, vulnerability assessments are usually applied at the species level, even though intraspecific variation in exposure, sensitivity and adaptive capacity play a crucial role in determining vulnerability. Genomic data can inform intraspecific vulnerability by identifying signatures of local adaptation that reflect population-level variation in sensitivity and adaptive capacity.
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