Disease Biomarker Analysis
Disease Biomarker Analysis - Related Videos
08:28
An Overview of bGDGT Biomarker Analysis for Paleoclimatology
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2023
Source: Laboratory of Jeff Salacup - University of Massachusetts Amherst Throughout this series of videos, natural samples were extracted and purified in search of organic compounds, called biomarkers, that can relate information on climates and environments of the past. One of the samples analyzed was sediment. Sediments accumulate over geologic time in basins, depressions in the Earth into which sediment flows through the action of fluid (water or air), movement, and gravity. Two main types...
09:00
High Throughput Sequential ELISA for Validation of Biomarkers of Acute Graft-Versus-Host Disease
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Cited by 14 •
2012
High throughput validation of multiple candidate biomarkers can be performed by sequential ELISA in order to minimize freeze/thaw cycles and use of precious plasma samples. Here, we demonstrate how to sequentially perform ELISAs for six different validated plasma biomarkers1-3 of graft-versus-host disease (GVHD)4 on the same plasma sample.
10:10
An Overview of Alkenone Biomarker Analysis for Paleothermometry
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2023
Source: Laboratory of Jeff Salacup - University of Massachusetts Amherst Throughout this series of videos, natural samples were extracted and purified in search of organic compounds, called biomarkers, that can relate information on climates and environments of the past. One of the samples analyzed was sediment. Sediments accumulate over geologic time in basins, depressions in the Earth into which sediment flows through the action of fluid (water or air), movement, and gravity. Two main types...
06:09
Breath Collection from Children for Disease Biomarker Discovery
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Cited by 11 •
2019
This protocol describes a simple method for the acquisition of breath samples from children. Briefly, samples of mixed air are pre-concentrated in sorbent tubes prior to gas chromatography-mass spectrometry analysis. Breath biomarkers of infectious and non-infectious diseases can be identified using this breath collection method.
08:29
Biomarkers in an Animal Model for Revealing Neural, Hematologic, and Behavioral Correlates of PTSD
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Cited by 29 •
2012
We describe a rat model of post traumatic stress disorder (PTSD) that reveals the persistent alterations in neuroendocrine function and the delayed long-term, exaggerated fear response, characteristic of PTSD patients. The animal model and methods described here are useful for correlating biomarkers in brain nuclei, which are mechanistic but cannot be measured in patients, with biomarkers in peripheral white blood cells, which can.
FAQs
Interpretation depends on asking whether a measured indicator reflects the infectious agent, the host response, or both. Pathogen-associated signals can support recognition of infection, whereas immune-cell or immune-activity measurements describe how the host is reacting. Examining these signal types together may help distinguish infection from related inflammatory conditions and clarify disease mechanisms.
Comparing abundance or activity across disease states shows whether an indicator tracks disease presence, activity, prognosis, or treatment response. A measurement becomes more informative when its pattern is interpreted against relevant states rather than in isolation. This comparative approach also supports patient stratification and helps researchers evaluate whether a finding has practical clinical meaning.
Assay validation checks that analytical measurements are dependable, while statistical analysis evaluates whether observed differences or associations are meaningful rather than chance findings. Together, they improve reproducibility and help connect a biomarker pattern with disease status or treatment response. Without these safeguards, promising signals may be difficult to interpret consistently across samples or studies.
A typical workflow begins with selecting a specimen, such as blood or tissue, and identifying the biological indicator to measure. Researchers then apply a validated analytical method to detect its abundance or activity, compare results across disease states, and interpret the pattern in relation to diagnosis, prognosis, immune response, or treatment.
It can support diagnosis when the goal is to identify disease, patient stratification when groups may differ in disease characteristics or treatment response, and therapeutic monitoring when measurements are followed during treatment. In research, the same approach helps link biomarker patterns to disease mechanisms and assess whether biological changes correspond with treatment response.
Blood or tissue measurements can combine pathogen-associated signals with indicators of host immune activity, allowing investigators to examine infection and the body's response in parallel. Such analyses can characterize immune responses, distinguish infection from related inflammation, and provide evidence for mechanistic studies. The resulting patterns may also guide interpretation of disease activity and therapeutic effects.