Inflammatory Biomarkers
Inflammatory Biomarkers - Related Videos
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.
12:43
On-Chip Endothelial Inflammatory Phenotyping
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Cited by 3 •
2012
Microfluidic flow chambers etched by photolithography and fabricated from PDMS are applied to probe functional outcomes associated with EC dysfunction and inflammation. In a representative experiment, the ability of differential shear stress to modulate monocytic cell adhesion to cytokine activated EC monolayers is demonstrated.
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...
07:24
Sonication Extraction of Lipid Biomarkers from Sediment
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2023
Source: Laboratory of Jeff Salacup - University of Massachusetts Amherst The material comprising the living "organic" share of any ecosystem (leaves, fungi, bark, tissue; Figure 1) differs fundamentally from the material of the non-living "inorganic" share (rocks and their constituent minerals, oxygen, water, metals). Organic material contains carbon linked to a series of other carbon and hydrogen molecules (Figure 2), which distinguishes it from inorganic material. Carbon's wide valency range...
08:04
Soxhlet Extraction of Lipid Biomarkers from Sediment
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2023
Source: Laboratory of Jeff Salacup - University of Massachusetts Amherst Every lab needs standards that track the performance, accuracy, and precision of its instruments over time to ensure a measurement made today is the same as a measurement made a year from now (Figure 1). Because standards must test the performance of instruments over a long period of time, large volumes of the standards are often required. Many chemical standards can be purchased from retail scientific companies, like...
FAQs
During infection or tissue injury, immune cells release cytokines and chemokines, so measuring these signals can reveal changes in immune activity. Their presence should be considered alongside acute-phase proteins, cells, and physiological signals because inflammatory responses are represented by multiple measurable components. This broader view helps researchers characterize host responses instead of reducing them to one molecular measurement.
Acute-phase proteins provide information from the liver and other tissues, which produce them during infection or tissue injury. Measuring these proteins complements measurements of cytokines and chemokines released by immune cells. This combination can help characterize whether an observed inflammatory pattern reflects changes in immune-cell signaling, tissue-derived responses, or both, strengthening interpretation of host-response data.
Analyzing combinations of cytokines, chemokines, acute-phase proteins, cells, and physiological signals can show that inflammatory activity has multiple dimensions. A pattern may help distinguish inflammatory states or follow disease progression, whereas one measurement provides only a limited view. Researchers should still compare these patterns with clinical findings so that laboratory changes are interpreted in the relevant disease context.
Measurement can be performed in blood, tissue, or other biological samples, and the sample type should match the research question. Blood, tissue, and other sample sources may represent different biological contexts, so their results should not automatically be treated as interchangeable. Keeping the sampling context explicit helps researchers compare inflammatory measurements appropriately and interpret host responses more accurately.
A practical workflow begins by identifying the inflammatory state or disease question, selecting relevant biomarkers, and obtaining an appropriate biological sample. Researchers then measure molecules, cells, or physiological signals and compare the findings with clinical information, disease progression, or treatment status. This workflow connects laboratory measurements to the biological question rather than reporting values without context.
In immunology and infection research, these measurements support several distinct goals: characterizing host responses, distinguishing inflammatory states, monitoring disease progression, and assessing treatment responses. They can also contribute to development of diagnostic and prognostic tools. Their value is greatest when biomarker results are integrated with clinical findings, allowing patterns of immune activity to be interpreted in relation to the disease.