Back

Characterization of pre-analytical blood collection and stabilization parameters to maintain endogenous protein levels for remote blood sampling technology

Cook, S. R.; Alizai, M. Y.; Tu, W.-c.; Robertson, I.; Wei, X.; Adams, K.; Su, X.; Thongpang, S.; Berthier, E.; Theberge, A. B.

2026-05-29 biochemistry
10.64898/2026.05.27.728347 bioRxiv
Show abstract

Blood biomarkers are central to monitoring disease progression and evaluating treatment responses, yet traditional venipuncture captures a single physiological snapshot in time and becomes burdensome with repeated sampling. Remote blood self-sampling offers a path toward longitudinal, decentralized monitoring, but maintaining protein integrity from draw to analysis remains a critical challenge. Here, we optimized pre-analytical blood collection and stabilization parameters to maintain protein levels at the time of collection for use with remote sampling technology. First, we optimized blood collection time with Tasso remote self-sampling devices to minimize interference from clotting, finding that a 2.5 min collection time best reduces clot formation while collecting enough blood. Next, we found that Protein Plus, a commercial protein stabilizer, limited hemolysis (a metric for stabilizer efficacy) in venous blood for up to 5 days at 25{degrees}C-35{degrees}C and for 1 day at 40{degrees}C. In addition, we optimized the stabilizer volume and acceptable blood volume range for self-sampling as the stabilizer efficacy is impacted by the stabilizer to blood ratio and collection volume can vary with remote self-sampling devices. Finally, we incubated stabilized blood samples collected via Tasso device at 25{degrees}C-35{degrees}C for 72 h, mimicking a 2-day shipping period. Using a panel of 21 inflammatory proteins, we found that Protein Plus limited intracellular protein release for various proteins (e.g., VEGF-A, CCL11, and IL-8), inhibited protein degradation for CCL2, and enabled minimal hemolysis. These results support Protein Plus as a viable stabilization strategy for remote blood collection technology targeting longitudinal inflammatory protein monitoring.

Matching journals

The top 11 journals account for 50% of the predicted probability mass.

1
PLOS ONE
5266 papers in training set
Top 14%
13.2%
2
Scientific Reports
3612 papers in training set
Top 6%
8.2%
3
Analytical Chemistry
218 papers in training set
Top 0.7%
5.4%
4
Clinical Chemistry
22 papers in training set
Top 0.1%
4.5%
5
Lab on a Chip
96 papers in training set
Top 0.3%
4.2%
6
Journal of Visualized Experiments
34 papers in training set
Top 0.1%
3.6%
7
npj Digital Medicine
118 papers in training set
Top 1%
3.4%
8
ACS Omega
105 papers in training set
Top 0.7%
2.8%
9
SLAS Technology
14 papers in training set
Top 0.1%
2.5%
10
Talanta
14 papers in training set
Top 0.1%
2.0%
11
Frontiers in Bioengineering and Biotechnology
98 papers in training set
Top 0.9%
2.0%
50% of probability mass above
12
Journal of Biological Chemistry
690 papers in training set
Top 6%
1.6%
13
Journal of Neurochemistry
53 papers in training set
Top 0.8%
1.4%
14
Communications Biology
993 papers in training set
Top 20%
1.2%
15
BMC Research Notes
33 papers in training set
Top 0.6%
1.2%
16
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 33%
1.2%
17
Heliyon
152 papers in training set
Top 5%
1.2%
18
HardwareX
18 papers in training set
Top 0.2%
1.1%
19
Biotechnology and Bioengineering
53 papers in training set
Top 0.7%
1.1%
20
Physiological Reports
40 papers in training set
Top 0.9%
1.1%
21
Cell Reports Methods
165 papers in training set
Top 3%
1.0%
22
Journal of Thrombosis and Haemostasis
32 papers in training set
Top 0.4%
1.0%
23
Bioengineering
29 papers in training set
Top 0.9%
1.0%
24
Frontiers in Digital Health
24 papers in training set
Top 1%
0.9%
25
The Analyst
16 papers in training set
Top 0.3%
0.9%
26
Sensors
43 papers in training set
Top 1%
0.9%
27
Advanced Science
286 papers in training set
Top 9%
0.9%
28
MethodsX
16 papers in training set
Top 0.2%
0.9%
29
ACS Applied Bio Materials
24 papers in training set
Top 0.7%
0.9%
30
Journal of Neuroscience Methods
122 papers in training set
Top 2%
0.9%