Serum or Plasma Samples?

Mannello, Ferdinando

doi:10.1161/atvbaha.107.159608

Cited by 81 publications

(42 citation statements)

References 73 publications

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“…4 In particular, serum samples were found to contain higher levels of TIMP-1 than those in plasma (Fig. 1).…”

Section: Blood Sampling Affects Circulating Timp-1 Concentration a Umentioning

confidence: 93%

“…For example, MMP-2 and TIMP-2 levels do not substantially differ in plasma versus serum samples whereas MMP-1, MMP-3, and MMP-9 levels are substantially lower in plasma compared to serum. 3,4 The consistently higher levels of TIMP-1 in serum versus plasma may, in part, be due to the release of TIMP-1 from circulating blood elements during the processing and handling of serum samples, as suggested by Manello and Jung in healthy volunteers.…”

Section: Blood Sampling Affects Circulating Timp-1 Concentration a Umentioning

confidence: 96%

“…[5][6][7] In fact, platelets and leukocytes contain several TIMPs that may be extracellularly released on activation or during aggregation, and the use of anticoagulant (for example, heparin, citrate, and ethylene diamine tetraacetic acid [EDTA]) limits the mobilization of granules from human neutrophils. [4][5][6] The presence of TIMPs in higher amounts in serum than in plasma 5-8 is related not only to disease status but also to releasing mechanism(s) of coagulation/fibrinolytic pathways. 4,9 The individual differences in white blood cell and platelet count, the coagulation/fibrinolysis factors, 4,9 and the sampling and handling procedures of blood collection (presence of clot accelerators in serum collection tubes 4,6 and handling temperature before and during centrifugation 8 ) significantly alter the concentrations of TIMPs 5-8 comparable with modifications in protein profiles observed in proteomic studies.…”

Section: Blood Sampling Affects Circulating Timp-1 Concentration a Umentioning

confidence: 99%

“…[4][5][6] The presence of TIMPs in higher amounts in serum than in plasma 5-8 is related not only to disease status but also to releasing mechanism(s) of coagulation/fibrinolytic pathways. 4,9 The individual differences in white blood cell and platelet count, the coagulation/fibrinolysis factors, 4,9 and the sampling and handling procedures of blood collection (presence of clot accelerators in serum collection tubes 4,6 and handling temperature before and during centrifugation 8 ) significantly alter the concentrations of TIMPs 5-8 comparable with modifications in protein profiles observed in proteomic studies. 10 All these data add to the mounting evidence that serum does not seem to be an appropriate sample for determining circulating TIMP-1, whereas plasma represents the optimal choice to better evaluate TIMPs for clinical and diagnostic purposes, 9 especially to evaluate disease stage information in liver diseases such as the presence or absence of advanced fibrosis or cirrhosis.…”

Section: Blood Sampling Affects Circulating Timp-1 Concentration a Umentioning

confidence: 99%

“…3 Thus, to obtain reproducible and comparable TIMP-1 values in clinical studies, 8 standardized operating procedures for sample handling are necessary to avoid misinterpretations. 4 FERDINANDO MANNELLO, PH.D. 1 Reply:…”

Section: Blood Sampling Affects Circulating Timp-1 Concentration a Umentioning

confidence: 99%

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Blood sampling affects circulating TIMP‐1 concentration, a useful biomarker in estimating liver fibrosis stages†

Mannello

Jung

2008

Hepatology

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“…4 In particular, serum samples were found to contain higher levels of TIMP-1 than those in plasma (Fig. 1).…”

Section: Blood Sampling Affects Circulating Timp-1 Concentration a Umentioning

confidence: 93%

Section: Blood Sampling Affects Circulating Timp-1 Concentration a Umentioning

confidence: 96%

Section: Blood Sampling Affects Circulating Timp-1 Concentration a Umentioning

confidence: 99%

Section: Blood Sampling Affects Circulating Timp-1 Concentration a Umentioning

confidence: 99%

Section: Blood Sampling Affects Circulating Timp-1 Concentration a Umentioning

confidence: 99%

See 3 more Smart Citations

Blood sampling affects circulating TIMP‐1 concentration, a useful biomarker in estimating liver fibrosis stages†

Mannello

Jung

2008

Hepatology

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Plasma Matrix Metalloproteinase Concentrations and Risk of Interstitial Lung Disease in a Prospective Rheumatoid Arthritis Cohort

Luedders,

Wheeler,

Ascherman

et al. 2024

Arthritis & Rheumatology

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ObjectiveTo evaluate the associations of plasma matrix metalloproteinases (MMPs) with prevalent and incident interstitial lung disease (ILD) in people with rheumatoid arthritis (RA).MethodsWithin a multicenter, prospective cohort of U.S. Veterans with RA, we performed a cross‐sectional study of prevalent ILD and cohort study of incident ILD. ILD diagnoses were validated by medical record review of provider diagnoses and chest imaging and/or pathology reports. MMP‐1, ‐3, ‐7, and ‐9 concentrations were measured in plasma samples then standardized and categorized into quartiles. The associations of MMPs with prevalent and incident ILD were assessed with logistic (prevalent) and Cox (incident) regression models adjusted for RA‐ILD risk factors.ResultsAmong 2,312 participants (88.9% male; mean age 63.8 years), 96 had prevalent ILD. Incident ILD developed in 130 participants over 17,378 person‐years of follow‐up (crude incidence rate 7.5/1,000 person‐years). Participants with the highest quartile of MMP‐7 concentrations had a nearly four‐fold increased odds of prevalent ILD (aOR 3.78 [95% CI: 1.86‐7.65]) and over two‐fold increased risk of incident ILD (aHR 2.33 [1.35‐4.02]). Higher MMP‐9 concentrations were also associated with prevalent and incident ILD, as well as negatively correlated with forced vital capacity among those with prevalent ILD (r=‐0.30, p=0.005).ConclusionMMP‐7 and MMP‐9 were strongly associated with both prevalent and incident ILD in this large, multicenter RA cohort after adjustment for other RA‐ILD risk factors. These population‐level findings further support a potential pathogenic role for MMPs in RA‐ILD and suggest that their measurement could facilitate RA‐ILD risk stratification.

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Recent progress in the LC–MS/MS analysis of oxidative stress biomarkers

et al. 2020

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The presence of a dynamic and balanced equilibrium between the production of reactive oxygen (ROS) and nitrogen (RNS) species and the in‐house antioxidant defense mechanisms is characteristic for a healthy body. During oxidative stress (OS), this balance is switched to increased production of ROS and RNS, exceeding the capacity of physiological antioxidant systems. This can cause damage to biological molecules, leading to loss of function and even cell death. Nowadays, there is increasing scientific and clinical interest in OS and the associated parameters to measure the degree of OS in biofluids. An increasing number of reports using LC–MS/MS methods for the analysis of OS biomarkers can be found. Since bioanalysis is usually complicated by matrix effects, various types of cleanup procedures are used to effectively separate the biomarkers from the matrix. This is an essential part of the analysis to prepare a reproducible and homogenous solution suitable for injection onto the column. The present review gives a summary of the chromatographic methods used for the determination of OS biomarkers in both urine and plasma, serum, and whole blood samples. The first part mainly describes the biological background of the different OS biomarkers, while the second part reports examples of chromatographic methods for the analysis of different metabolites connected with OS in biofluids, covering a period from 2015 till early 2020. The selected examples mainly include LC–MS/MS methods for isoprostanes, oxidized proteins, oxidized lipoproteins, and DNA/RNA biomarkers. The last part explains the clinical relevance of this review.

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Serum or Plasma Samples?

Cited by 81 publications

References 73 publications

Blood sampling affects circulating TIMP‐1 concentration, a useful biomarker in estimating liver fibrosis stages†

Blood sampling affects circulating TIMP‐1 concentration, a useful biomarker in estimating liver fibrosis stages†

Plasma Matrix Metalloproteinase Concentrations and Risk of Interstitial Lung Disease in a Prospective Rheumatoid Arthritis Cohort

Recent progress in the LC–MS/MS analysis of oxidative stress biomarkers

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