Literature DB >> 23457767

The effect of storage time and freeze-thaw cycles on the stability of serum samples.

Serap Cuhadar1, Mehmet Koseoglu, Aysenur Atay, Ahmet Dirican.   

Abstract

INTRODUCTION: Optimal storage of serum specimens in central laboratories for a long period for multicenter reference interval studies, or epidemiologic studies remains to be determined. We aimed to examine the analytical stability of chemistry analytes following numerous freeze-thaw and long-term storage.
MATERIALS AND METHODS: Serum samples were obtained from 15 patients. Following baseline measurement, sera of each subject were aliquoted and stored at -20 degrees C for two experiments. A group of sera were kept frozen for up to 1, 2 and 3 months and then analyzed for stability. The other experiment consisted of one to ten times of freeze and thaw cycles. Total of 17 chemistry analytes were assayed at each time point. The results were compared with those obtained from the initial analysis of fresh samples. Median or mean changes from baseline (T(0)) concentrations were evaluated both statistically and clinically according to the desirable bias.
RESULTS: Of the analytes studied, aspartate aminotransferase (AST), alanine aminotransferase (ALT), creatine kinase (CK), gamma-glutamyl transferase (GGT), direct bilirubin, glucose, creatinine, cholesterol, triglycerides, high density lipoprotein (HDL) were stable in all conditions. Blood urea nitrogen (BUN), uric acid, total protein, albumin, total bilirubin, calcium, lactate dehydrogenase (LD) were changed significantly (P < 0.005).
CONCLUSIONS: As a result, common clinical chemistry analytes, with considering the variability of unstable analytes, showed adequote stability after 3 months of storage in sera at -20 degrees C, or up to ten times of freeze-thaw cycle. All the same, such analysis can only be performed for exceptional cases, and this should be taken into account while planning studies.

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Mesh:

Year:  2013        PMID: 23457767      PMCID: PMC3900085          DOI: 10.11613/bm.2013.009

Source DB:  PubMed          Journal:  Biochem Med (Zagreb)        ISSN: 1330-0962            Impact factor:   2.313


Introduction

Optimal storage of serum specimens in biobanks for a long time for multicenter reference interval studies, or epidemiologic studies remains to be determined. Specimens shipped from multicenter laboratories are usually stored in a central laboratory for further analysis. Parameters that may vary across collections include; i) delays in shipping frozen samples; ii) power cut or voltage fluctuations of the freezers; and iii) using frost-free freezer that goes through numerous defrost cycles, which may result in loss of some analytes. Pre-analytical phase is the most critical part of the total analytical process which has impacts on patient reports in clinical chemistry testing (1). It is possible in practice to reanalyze the samples stored to confirm the previous results or to perform additional analysis, however the stability of the analytes must be assured before giving results, or before establishing new investigations. Furthermore, analyzing unsuitable samples often cause high cost expenditures and enlargement of total testing process. Manufacturers allow the usage of sera stored frozen and thawed only for once, and advise to disperse sera into the single usage aliquots before freezing. However, the number and volume of the aliquots must be taken into account regarding the handling and freezer space costs while planning the studies. There are various studies examined how storage conditions affected the stability of various serum components (2–5). However, there is less information on the stability of commonly used chemistry analytes in human sera. The present study examined the stability of 17 routine chemistry analytes in sera after storing at a designated temperature and freeze-thawing at multiple time points.

Materials and methods

Subjects

This study included fifteen out-patients attending the clinics of our hospital. The specimens collected from each patient were for the laboratory testing ordered by the physician. No additional blood was taken from the subjects. All were informed for the study and signed the informed consent. The procedures were in accordance with the guidelines of the Helsinki Declaration on human experimentation.

Study design

Fasting venous blood (totally 25.5 cc blood) was collected in the morning into three 8.5 mL plastic evacuated tubes (BD Vacutainer Systems, Becton-Dickinson, Plymouth, UK). The sample tubes were left in upright position for 30 min at room temperature for complete clot formation. All were then centrifuged at 1800 × g for 10 minutes (according to the instruction of the tube manufacturer). Serum samples were checked visually for hemolysis and lipemia for possible interferences (6,7). Sera of each subject were pooled into a plain tube, and were aliquoted into 1.5-mL Eppendorf (Eppendorf, Milano, Italy) tubes. Composing of 13 aliquots for each patient (three for storage, 10 for freeze-thaw), remaining sera were used for the patients’ requested tests. Following baseline measurement (T0), all were kept frozen until analysis for two experiments below: Ten samples of each subject were frozen at −20°C. After 24 hours, all frozen sera in the Eppendorf tubes of each patient were thawed at room temperature for approximately 1 h until completely thawed, and then mixed properly with automatic pipettes before analysis (freeze-thaw 1). Samples were immediately re-frozen at −20 °C for the next study day. This cycle was repeated for ten consecutive days (T1d, T2d, T3d, T4d, T5d, T6d, T7d, T8d, T9d, T10d) to yield freeze- thaw processing. A group of sera were stored frozen at −20 °C for up to 1, 2 and 3 months, and then analyzed for stability in singleton at three time intervals (T1m, T2m, T3m). Samples stored at −20 °C were kept in a freezer equipped with a temperature recorder (Figure 1).
Figure 1.

The temperature graph of the freezer during the freeze-thaw period.

Methods

Assays were performed on the Abbott Aeroset analyzer (Abbott, Wiesbaden, Germany) with Abbott reagents at the Department of Clinical Biochemistry Laboratory of Ataturk Training and Research Hospital in Izmir, Turkey. The following biochemical constituents were assayed: metabolites: BUN (blood urea nitrogen), calcium, creatinine, direct bilirubin, glucose, total bilirubin, uric acid; proteins: total protein, albumin; lipids: triglycerides, cholesterol, HDL (high density lipoprotein); enzymes: ALT (alanine aminotransferase), AST (aspartate aminotransferase), CK (creatine kinase), GGT (gamma-glutamyl transferase), LD (lactate dehydrogenase). Intra-assay and inter-assay CV’s were performed with pooled patient sera different from the study subjects (Table 1). Inter-assay variation was assessed from 20 determinations (with 2 aliquots each day) on ten consecutive study days, and intra-assay variation was calculated from eight sequental determinations obtained from the first day of the study period.
Table 1.

Methods, intra and inter-assay coefficient of variations.

AnalyteMethodIntra-assay CV (%)Inter-assay CV (%)
Albumin (g/L)Bromcresol green2.01.4
ALT (U/L)UV without P5P0.72.8
AST (U/L)UV without P5P0.51.5
Bilirubin, direct (μmol/L)Diazotization1.73.1
Bilirubin, total (μmol/L)Diazonium ion0.50.9
BUN (mmol/L)Urease, UV1.63.5
Calcium (mmol/L)Arsenazo III0.41.0
Cholesterol (mmol/L)CHOD-PAP0.60.9
Creatinine (μmol/L)Alkaline picrate0.70.4
CK (U/L)UV-NAC activated0.31.0
Glucose (mmol/L)Hexokinase0.70.8
GGT (U/L)Gamma-glutamyl-carboxyl nitroanilide0.50.8
HDL (mmol/L)Direct, non-immunologic5.13.6
LD (U/L)Lactate-pyruvate, UV0.81.6
Protein, total (g/L)Biuret1.31.1
Triglyceride (mmol/L)GPO-PAP1.01.4
Uric acid (μmol/L)Uricase, PAP0.80.6

Inter-assay variation was assessed from totally 20 determinations (with 2 determinations each day) on 10 consecutive study days, and intra-assay variation was assessed from 8 determinations, measured on a single assay.

ALT - alanine aminotransferase; AST - aspartate aminotransferase; BUN - blood urea nitrogen; CK - creatine kinase; GGT - gamma-glutamyl transferase; HDL - high density lipoprotein; LD - lactate dehydrogenase.

Quality control was performed each day before studying aliquots with two levels of control materials (Bio-Rad Laboratories, Milano, Italy).

Statistical analysis

Stabilities of analytes after freeze thaw cycles and after storage were assessed by percentage change from T0 for paired groups (T0- T1d, T0 -T2d, etc. and T0 - T1m, T0 −T2m, etc). Bias was calculated by the formula: the mean or median of the T0 sample; the mean or median of the experimented sample. Median or mean changes from T0 concentrations were evaluated both statistically and clinically according to the desirable bias taken from the Westgard QC (8), which was first published at 1999 and updated at 2012 by Ricos et al. The distribution of the variables was determined using Shapiro-Wilk normality test. In normally distributed groups, results were presented as mean ± standard deviation. The significant differences from T0 value were determined by Paired samples t-test. For non-Gaussian groups, median variations from T0 was determined by non-parametric Friedman test and Wilcoxon signed rank test using licensed statistical package for Windows, Version 15.0, SPSS Inc. (Chicago, IL, USA). P value < 0.005 (0.05/11 = 0.0045) for freeze-thaw cycles and P < 0.013 (0.05/4 = 0.0125) for storage period were considered statistically significant according to Bonferroni correction for multiple comparisons.

Results

The results and variations for two experiments are presented in table 2 and figures 2 and 3.
Table 2.

Percentage of mean ± standard deviation and median (interquartil) changes from T0 values (% change from T0: baseline value) at each freeze-thaw cycle and storage period compared to maximum desirable bias.

AnalyteDB (± %)T0T1dT2dT3dT4dT4dT6dT7dT8dT9dT10dT1mT2mT3m
Albumin (g/L)45 (38–47)45 (37–48)46 (38–48)46 (38–48)46 (38–47)46 (39–48)46 (38–48)46 (38–49)49 (41–50)49 (40–51)47 (39–49)45 (37–47)46 (37–46)43 (36–46)
%1.302.22.22.22.22.22.28.98.94.402.2−4.4
P0.1320.4800.1021.0000.2060.4140.1020.0010.0010.0060.0290.2060.001

ALT (U/L)20 (13–104)21 (12–106)19 (12–109)21 (12–107)20 (11–107)21 (13–103)20 (12–103)19 (12–100)19 (13–97)18 (11–97)20 (12–105)19 (10–103)19 (12–100)18 (10–101)
%11.45−55050−5−5−100−5−5−10
P0.5270.1660.7820.7820.5930.7630.0170.0610.0570.2060.0010.0020.001

AST (U/L)20 (16–132)19 (17–135)20 (15–141)20 (16–138)21 (17–139)20 (16–141)20 (17–140)19 (17–141)20 (15–141)21 (17–141)21 (16–134)20 (14–139)21 (15–133)19 (13–130)
%5.4−500500−505505−5
P0.2850.4801.00.5270.4800.0310.3170.3170.0181.00.4311.00.001

Bilirubin, total (μmol/L)11.3 ± 2.7410.9 ± 2.759.8 ± 2.659.3 ± 2.9111.3 ± 2.7510.8 ± 2.6210.8 ± 2.5710.9 ± 3.0811.0 ± 3.0110.8 ± 3.0310.6 ± 2.7411.7 ± 2.4311.3 ± 2.5111.5 ± 2.43
%11.4−3.5−13.3−17.70−4.4−4.4−3.5−2.7−4.4−6.23.501.8
P<0.001<0.001<0.001<0.0010.0390.0100.1180.1550.0410.0010.0280.6090.904

Bilirubin, direct (μmol/L)3.93 (3.3–5.6)4.28 ± 0.674.10 ± 0.874.28 ± 0.844.28 ± 0.994.25 ± 0.994.28 (3.76–6.33)4.53 ± 0.804.50 ± 0.744.34 ± 0.684.10 (3.25–5.13)4.28 ± 0.673.80 (3.42–5.30)4.10 ± 0.63
%14.28.94.38.98.98.98.915.314.310.44.38.9−3.34.3
P0.3790.7540.8870.7740.8880.1400.1650.1820.6680.7770.5980.0840.629

BUN (mmol/L)5.36 (3.57–11.07)5.36 (3.93–10.71)5.71 (3.57–10.71)5.36 (3.93–10.71)6.07 (3.93–11.78)5.71 (4.28–11.42)5.71 (4.28–11.42)5.71 (4.28–11.78)6.07 (4.28–11.78)5.71 (4.28–11.42)5.71 (3.57–11.42)5.71 (3.93–11.78)5.36 (3.57–11.42)5.71 (3.57–11.07)
%5.506.5013.36.56.56.513.36.56.56.506.5
P0.7051.000.3170.0020.0080.0030.0030.0010.0020.0150.0020.0960.429

Calcium (mmol/L)2.33 (1.95–2.38)2.30 (1.93–2.38)2.33 (1.95–2.40)2.30 (1.93–2.38)2.35 (2.00–2.45)2.33 (2.00–2.40)2.35 (2.03–2.42)2.33 (2.00–2.38)2.35 (2.03–2.45)2.35 (2.00–2.40)2.30 (1.95–2.40)2.30 (1.93–2.38)2.30 (1.95–2.38)2.35 (1.93–2.40)
%0.8−1.30−1.30.900.900.90.9−1.3−1.3−1.30.9
P0.0080.7630.0060.0010.3660.0070.0960.0010.0060.7390.7050.0250.148

Cholesterol (mmol/L)4.88 ± 0.584.87± 0.594.92 ± 0.534.92 ± 0.544.93 ± 0.534.94 ± 0.534.96 ± 0.534.96 ± 0.544.97 ± 0.534.91 ± 0.534.88 ± 0.564.87 ± 0.604.86 ± 0.594.93 ± 0.54
%4.0−0.20.80.81.01.21.61.61.80.60−0.2−0.41.0
P0.0850.3170.3130.1880.1410.0520.0350.0340.4891.0000.5360.2800.019

Creatinine (μmol/L)88.4 (70.7–247.5)88.4 (70.7–247.5)79.6 (61.9–256.4)79.6 (61.9–256.4)88.4 (70.7–256.4)79.6 (70.7–247.5)79.6 (70.7–256.4)88.4 (70.7–256.4)88.4 (70.7–256.4)88.4 (70.7–256.4)88.4 (70.7–247.5)88.4 (61.9–256.4)79.6 (70.7–229.8)79.6 (70.7–247.5)
%4.00−10−100−10−1000000−10−10
P1.00.6551.000.6550.5640.3170.1800.0200.1020.4140.3170.3170.564

CK (U/L)78 (59–796)77 (58–790)77 (55–793)77 (53–791)79 (54–790)77 (52–789)76 (53–792)73 (52–791)74 (52–790)72 (50–789)76 (52–793)74 (56–800)75 (58–790)76 (59–797)
%11.5−1.3−1.3−1.31.3−1.3−2.6−6.4−5.1−7.7−2.6−5.1−3.9−2.6
P0.0630.2850.0460.1090.0090.0030.0010.0010.0010.0010.0150.0010.004

Glucose (mmol/L)5.94 (5.38–11.88)5.94 (5.27–11.93)5.99 (5.05–11.54)5.99 (5.05–11.60)5.94 (5.33–11.60)6.11 (5.38–11.49)5.99 (5.33–11.54)6.05 (5.33–11.77)6.05 (5.50–11.71)6.11 (5.44–11.71)5.99 (5.38–11.77)5.88 (5.33–11.93)5.94 (5.27–11.99)5.94 (5.50–11.66)
%2.200.80.802.90.81.91.92.90.8−1.000
P0.0580.2850.5640.7820.0880.4050.1660.0710.0530.0830.0090.1430.176

GGT (U/L)28 (16–92)27 (16–95)29 (16–97)28 (16–98)29 (16–97)29 (16–98)28 (16–99)28 (16–98)28 (16–99)28 (15–96)28 (15–98)28 (16–95)27 (15–93)28 (12–90)
%10.8−3.63.603.63.6000000−3.60
P0.7390.5641.0000.2060.1320.1320.0580.0830.2060.5640.9570.0050.004

HDL (mmol/L)1.08 ± 0.191.08 ± 0.191.08 ± 0.191.06 ± 0.191.07 ± 0.181.06 ± 0.161.05 ± 0.171.05 ± 0.161.08 ± 0.181.08 ± 0.181.08 ± 0.181.08 ± 0.191.05 ± 0.181.08 ± 0.18
%5.200−1.9−0.9−1.9−2.8−2.80000−2.80
P0.7280.9330.1740.5170.3800.0670.0540.7970.8960.7190.7420.0040.658

LD (U/L)167 (1(41–286)166 (140–289)165 (139–285)161 (137–282)160 (132–280)161 (134–279)158 (134–280)159 (133–281)161 (132–280)160 (133–279)162 (135–282)163 (138–286)162 (139–281)160 (134–282)
%4.3−0.6−1.2−3.6−4.2−3.6−5.4−4.8−3.6−4.2−3.0−2.4−3.0−4.2
P0.2850.0080.0010.0010.0010.0010.0010.0010.0010.0010.0600.0010.003

Protein, total (g/L)72 (61–76)71 (60–76)73 (60–76)73 (61–77)74 (61–77)74 (62–78)74 (62–77)74 (63–78)75 (62–79)76 (64–79)74 (62–77)72 (60–76)73 (62–77)70 (60–74)
%1.2−1.41.41.42.82.82.82.84.25.62.801.42.8
P0.0040.1570.0050.0560.0010.001<0.0010.0010.0090.0250.0530.0330.001

Triglyceride (mmol/L)1.45 ± 0.271.43 ± 0.261.46 ± 0.281.45 ± 0.291.47 ± 0.281.48 ± 0.291.49 ± 0.291.48 ± 0.281.49 ± 0.281.48 ± 0.281.46 ± 0.281.45 ± 0.271.43 ± 0.271.46 ± 0.27
%10.7−1.40.701.42.12.82.12.82.10.70−1.40.7
P0.0410.3660.7820.0140.0110.0080.0070.0040.0020.0520.3760.0260.228

Uric acid (μmol/L)275 ± 41277 ± 40281 ± 42287 ± 41293 ± 40302 ± 39306 ± 40308 ± 39329 ± 39319 ± 43298 ± 43280 ± 41283 ± 42288 ± 44
%4.90.72.24.46.69.811.312.019.616.08.41.82.94.7
P0.2070.001<0.001<0.001<0.001<0.001<0.001<0.001<0.001<0.0010.0010.001<0.001

All concentrations and activities are written as mean± SD and median (interquatile ranges). Shapiro Willks test was used for normality, and for Gaussian distributed values, Paired samples t test, for non-Gaussian distibuted values, Friedman and Wilcoxon signed rank tests were used to compare the repeated measures with a post-hoc Bonferroni correction.

P < 0.005 values for freeze thaw cycles, P < 0.013 for storage period, and % variations exceeded the maximum desirable bias (5) are written in bold font.

DB - desirable bias; T0 - baseline, T1d-10d - 1-10 corresponding days of freeze-thaw cycle, T1m-3m - 1–3 months of storage period; ALT - alanine aminotransferase; AST - aspartate aminotransferase; BUN - blood urea nitrogen; CK - creatine kinase; GGT - gamma-glutamyl transferase; HDL - high density lipoprotein; LD - lactate dehydrogenase.

Figure 2.

Percentage change in concentrations during 10 days of freeze-thaw period.

Figure 3.

Percentage change in concentrations during storage for 1–3 months at −20 °C.

Alb - albumin; ALT - alanine aminotransferase; AST – aspartate aminotransferase; BUN - blood urea nitrogen; Ca - calcium; CK -creatine kinase; Chol - cholesterol; D BIL - direct bilirubin; GGT -gamma-glutamyl transferase; HDL - high density lipoprotein; LD - lactate dehydrogenase; T BIL - total bilirubin; TG - triglyceride; UA - uric acid; T0 - baseline, T1d-10d - 1-10 corresponding days of freeze-thaw cycle, T1m-3m – corresponding months of storage.

Freeze-thaw cycles

After samples had been frozen and thawed up to ten times, there were no statistically significant differences for AST, ALT, GGT, cholesterol, glucose, creatinine, direct bilirubin and HDL levels. Statistically significant changes were not clinically significant for triglyceride and CK. Sera should not go through more than one freeze-thaw cycle for total bilirubin (P < 0.005). Among the analytes studied, total protein and uric acid were found as the least stable tests (Table 2). Albumin concentration was not altered statistically as long as seven freeze-thaw cycles and increased afterwards. BUN and calcium were stable up to three freeze-thaw and LD was found as stable for five cycles evaluating together the significance clinically and statistically. Statistically significant changes were marked in bold in table 2.

Storage at −20 °C

Except from albumin, total protein and BUN levels, there were no significant variations for sera stored until 3 months. Statistical and clinical significances were evaluated for all analytes. Albumin and total protein concentration changed significantly (P < 0.013) after 3 months of storage. BUN concentration showed variability during storage (Table 2).

Discussion

This study examined the storage and repeated freeze thaw effects on chemistry analytes pre-analytically. According to our findings, 14 analytes after storage and 10 analytes following freeze-thaw cycles showed clinically equivalent results. In a comprehensive study by Jackson et al. (9) clinically negligible biases were obtained in most of the routine clinical chemistry parameters following repeatedly freeze-thaw cycles between 0 to 24 hour. Cray et al. (10), experimented the storage stability of rat sera at −20 °C for glucose, BUN, calcium, total protein, albumin, AST, ALT, LD and CK when stored in nonfrost freezer up to 90 days. In agreement with Jackson and Cray (9,10), we found glucose concentrations as stable through the whole experiment. However in a study (11), glucose concentrations were found as increased from 11.8 to 14.0% in human serum refrozen and thawn even once. Protein stability is problematic. Fast freezing with slow thawing resulted in severe damage in proteins, accordingly, slow freezing and fast thawing process is advised to prevent protein denaturation in aqueous solutions (12). In human fluids, long time storage in freezer is advised instead of thawing samples repeatedly (13). The variations for albumin and total protein were found as outside the desirable bias (8) during storage and freezing thawing cycles in this study, however the bias could not be explained by denaturation, as the concentrations were measured as increased. In accordance with the current study, Paltiel and Comstock et al. (14,15) reported the stability of serum cholesterol and triglyceride concentrations during storage in freezer and following freeze thaw cycles. The present study confirms the findings of Beekhof et al. (16), who found a good stability of HDL up to 6 months of storage at −20 °C. Paltiel et al. (14), subjected the human plasma samples to several freeze thaw cycles after storage at −80 °C and AST activity was determined as stable within the 10–15 freeze-thaw cycles. Throughout the multiple time points we assessed, all of the enzyme levels measured were biased insignificantly, except from LD activity. Our results indicate an appreciable increase in BUN values over time, however BUN instability has been observed in a recent study as a large percentage decrease (15.6% average) when samples were stored at −20 °C (17). The estimated percentage change in uric acid concentrations per freeze thaw cycle showed an increasing trend over time as this analyte was demonstrated as unstable after 48 hours in human serum stored at −4 °C in a recent study (18). In the present study, time dependent decreases during storage and within the 10 times of freezing cycle were statistically insignificant for creatinine assay. Total bilirubin concentration was found as stable up to three months of storage at −20 °C, unlike to a study in which authors demonstrated decreases both at −20 °C and at −80 °C (19) after storage even for two weeks. Although total bilirubin concentrations significantly decreased due to freeze-thaw cycles in the present study, practically serum is not stored for this analyte assay for future use in laboratories, considering its photo-sensitivity. In the CALIPER study (17), similar to our study, significant negative slope was observed for total bilirubin in samples stored at −20 °C with a low baseline concentration for a few months, and that relative large bias was attributed to the low baseline analyte concentrations. The limitation of this study is that the results are based on small patient group size. Secondly, all time measurements were done once because of economical reasons. The pH of the samples was not measured to evaluate the possible bacterial growth in the specimen which may cause erroneously elevated results for urea. Determinations were done with the defined analyzer with its original reagents. Therefore, these results might not be universally reproducible with other testing systems. As a result, common clinical chemistry analytes, with considering the variability of unstable analytes, showed adequote stability after 3 months of storage in sera at −20 °C, or up to ten times of freeze-thaw cycle. All the same, such analysis can only be performed for exceptional cases, and results must be interpreted with great attention.
  17 in total

1.  Effect of freezing and thawing rates on denaturation of proteins in aqueous solutions.

Authors:  Enhong Cao; Yahuei Chen; Zhanfeng Cui; Peter R Foster
Journal:  Biotechnol Bioeng       Date:  2003-06-20       Impact factor: 4.530

2.  The effect of freezing, thawing, and short- and long-term storage on serum thyrotropin, thyroid hormones, and thyroid autoantibodies: implications for analyzing samples stored in serum banks.

Authors:  Tuija Männistö; Heljä-Marja Surcel; Aini Bloigu; Aimo Ruokonen; Anna-Liisa Hartikainen; Marjo-Riitta Järvelin; Anneli Pouta; Marja Vääräsmäki; Eila Suvanto-Luukkonen
Journal:  Clin Chem       Date:  2007-11       Impact factor: 8.327

3.  Effect of freeze-thaw cycles on serum measurements of AFP, CEA, CA125 and CA19-9.

Authors:  Y-C Gao; Z-B Yuan; Y-D Yang; H-K Lu
Journal:  Scand J Clin Lab Invest       Date:  2007       Impact factor: 1.713

4.  UK Biobank Pilot Study: stability of haematological and clinical chemistry analytes.

Authors:  Chris Jackson; Nicky Best; Paul Elliott
Journal:  Int J Epidemiol       Date:  2008-04       Impact factor: 7.196

5.  Evaluation of Freeze Thaw Cycles on stored plasma in the Biobank of the Norwegian Mother and Child Cohort Study.

Authors:  Liv Paltiel; Kjersti S Rønningen; Helle M Meltzer; Susan V Baker; Jane A Hoppin
Journal:  Cell Preserv Technol       Date:  2008-09-01

6.  Long-term stability of biochemical markers in pediatric serum specimens stored at -80 °C: a CALIPER Substudy.

Authors:  Davor Brinc; Man Khun Chan; Allison A Venner; Maria D Pasic; David Colantonio; Lianna Kyriakopolou; Khosrow Adeli
Journal:  Clin Biochem       Date:  2012-04-05       Impact factor: 3.281

7.  Effects of sample handling and storage on quantitative lipid analysis in human serum.

Authors:  Angela M Zivkovic; Michelle M Wiest; Uyen Thao Nguyen; Ryan Davis; Steven M Watkins; J Bruce German
Journal:  Metabolomics       Date:  2009-08-05       Impact factor: 4.290

8.  Long term stability of paraoxonase-1 and high-density lipoprotein in human serum.

Authors:  Piet K Beekhof; Maryana Gorshunska; Eugène H J M Jansen
Journal:  Lipids Health Dis       Date:  2012-05-14       Impact factor: 3.876

9.  Impact of freeze-thaw cycles and storage time on plasma samples used in mass spectrometry based biomarker discovery projects.

Authors:  Breeana L Mitchell; Yutaka Yasui; Christopher I Li; Annette L Fitzpatrick; Paul D Lampe
Journal:  Cancer Inform       Date:  2005

10.  Preanalytical phase--a continuous challenge for laboratory professionals.

Authors:  Ana-Maria Simundic; Giuseppe Lippi
Journal:  Biochem Med (Zagreb)       Date:  2012       Impact factor: 2.313

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1.  CKD Prevalence Varies across the European General Population.

Authors:  Katharina Brück; Vianda S Stel; Giovanni Gambaro; Stein Hallan; Henry Völzke; Johan Ärnlöv; Mika Kastarinen; Idris Guessous; José Vinhas; Bénédicte Stengel; Hermann Brenner; Jerzy Chudek; Solfrid Romundstad; Charles Tomson; Alfonso Otero Gonzalez; Aminu K Bello; Jean Ferrieres; Luigi Palmieri; Gemma Browne; Vincenzo Capuano; Wim Van Biesen; Carmine Zoccali; Ron Gansevoort; Gerjan Navis; Dietrich Rothenbacher; Pietro Manuel Ferraro; Dorothea Nitsch; Christoph Wanner; Kitty J Jager
Journal:  J Am Soc Nephrol       Date:  2015-12-23       Impact factor: 10.121

2.  1H NMR spectroscopy quantifies visibility of lipoproteins, subclasses, and lipids at varied temperatures and pressures.

Authors:  Daniela Baumstark; Werner Kremer; Alfred Boettcher; Christina Schreier; Paul Sander; Gerd Schmitz; Renate Kirchhoefer; Fritz Huber; Hans Robert Kalbitzer
Journal:  J Lipid Res       Date:  2019-06-25       Impact factor: 5.922

3.  Is serum uric acid a predictor of long-term renal outcome in lupus nephritis?

Authors:  Michelle Remião Ugolini-Lopes; Samara S Gavinier; Elaine Leon; Vilma Trindade Viana; Eduardo Ferreira Borba; Eloisa Bonfá
Journal:  Clin Rheumatol       Date:  2019-06-02       Impact factor: 2.980

4.  Silk-based blood stabilization for diagnostics.

Authors:  Jonathan A Kluge; Adrian B Li; Brooke T Kahn; Dominique S Michaud; Fiorenzo G Omenetto; David L Kaplan
Journal:  Proc Natl Acad Sci U S A       Date:  2016-05-09       Impact factor: 11.205

5.  Preanalytical variables affecting the measurement of serum paraoxonase-1 activity in horses.

Authors:  Gabriele Rossi; Amy Richardson; Hali Jamaludin; Cristy Secombe
Journal:  J Vet Diagn Invest       Date:  2020-11-22       Impact factor: 1.279

Review 6.  Seventy-Five Years of Research on Protein Binding.

Authors:  Axel Dalhoff
Journal:  Antimicrob Agents Chemother       Date:  2018-01-25       Impact factor: 5.191

Review 7.  A review of metabolomics approaches and their application in identifying causal pathways of childhood asthma.

Authors:  Kedir N Turi; Lindsey Romick-Rosendale; Kelli K Ryckman; Tina V Hartert
Journal:  J Allergy Clin Immunol       Date:  2017-05-04       Impact factor: 10.793

8.  Isolated elevation of aspartate aminotransferase (AST) in an asymptomatic patient due to macro-AST.

Authors:  Arturo González Raya; Ramón Coca Zúñiga; Eva Martín Salido
Journal:  J Clin Lab Anal       Date:  2018-10-15       Impact factor: 2.352

9.  Homeostasis model assessment, serum insulin and their relation to body fat in cats.

Authors:  Emma M Strage; Charles J Ley; Johannes Forkman; Malin Öhlund; Sarah Stadig; Anna Bergh; Cecilia Ley
Journal:  BMC Vet Res       Date:  2021-01-18       Impact factor: 2.741

10.  High-Density Lipoproteins for Therapeutic Delivery Systems.

Authors:  R Kannan Mutharasan; Linda Foit; C Shad Thaxton
Journal:  J Mater Chem B       Date:  2015-11-24       Impact factor: 6.331

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