Literature DB >> 33542626

EDTA-K2 Improves the Detection Sensitivity of SARS-CoV-2 IgM and IgG Antibodies by Chelating Colloidal Gold in the Immunochromatographic Assay.

Xiumei Hu1, Changmeng Wu1, Bo Situ1, Peifu Tian2, Taixue An1, Qiang Li1, Weilun Pan1, Ruyi Zhang1, Biao Yang3, Dehua Sun1, Yuhai Hu2, Qian Wang1,3, Lei Zheng1.   

Abstract

OBJECTIVE: The coronavirus disease (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is now rapidly spreading globally. Serological tests are an important method to assist in the diagnosis of COVID-19, used for epidemiological investigations. In this study, we aimed to investigate the impact of different types of vacuum collection tubes on the detection of SARS-CoV-2 IgM and IgG antibodies, using the colloidal gold immunochromatographic assay (GICA). PATIENTS AND METHODS: A total of 112 patients with COVID-19 and 200 healthy control subjects with no infection were enrolled in this study. Their serum and plasma were collected into four different types of vacuum blood collection tubes. SARS-CoV-2 IgM and IgG specific antibodies in the plasma and serum were then detected by GICA and chemiluminescence assay (CA), respectively. In addition, the particle sizes of different colloidal gold solutions in the presence of different anticoagulants and coagulants were evaluated by both laser diffraction (Malvern) and confocal laser microscope, respectively.
RESULTS: Our results revealed that anticoagulated plasma with EDTA-K2 improved the positive detection rate of SARS-CoV-2 IgM antibodies. Furthermore, our results shown that the detection results by GICA and CA were highly consistent, especially, the results of EDTA-K2 anticoagulated plasma detected by GICA was more consistent with CA results. We confirmed that EDTA-K2 could improve the detection sensitivity of SARS-CoV-2 IgG antibodies by chelating excessive colloidal gold compared with sodium citrate or lithium heparin, these methodologies did not appear to cause false positives. Colloidal gold particles could be chelated and aggregated by EDTA-K2, but not by sodium citrate, lithium heparin and coagulants.
CONCLUSION: GICA is widely used to detect antibodies for the advantages of convenient, fast, low cost, suitable for screening large sample and require minimal equipment. In this study, we found that EDTA-K2 amplified the positive antibody signal by chelating colloidal gold and improved the detection sensitivity of SARS-CoV-2 IgM and IgG antibodies when using the GICA. Therefore, we suggested that EDTA-K2 anticoagulated plasma was more suitable for the detection of SARS-CoV-2 antibodies.
© 2021 Hu et al.

Entities:  

Keywords:  EDTA-K2; SARS-CoV-2; antibodies; gold immunochromatographic assay; GICA

Mesh:

Substances:

Year:  2021        PMID: 33542626      PMCID: PMC7853433          DOI: 10.2147/IJN.S281594

Source DB:  PubMed          Journal:  Int J Nanomedicine        ISSN: 1176-9114


Introduction

Currently, the widespread threat to human health from SARS-CoV-2 urgently requires the development of fast and accurate analytical methods for early diagnosis. At present, pathogen detection and nucleic acid testing are commonly used to identify COVID-19 in the clinic. In addition, infected patients are mostly positive for SARS-CoV-2-specific IgM antibodies after seven to eight days from disease onset and their IgG titers during the recovery period, are more than four times higher than those in the acute phase,1 indicating that serological detection of specific antibodies is crucial for the rapid identification of SARS-CoV-2. Specifically, this study confirmed that the gold immunochromatographic assay (GICA) could serve as a rapid diagnostic test for RT-PCR-negative highly suspected patients and screening of SARS-CoV-2 carries in limited-resource countries.2,3 Recently, GICA has been widely used to detect antibodies, because the test trips based on colloidal gold particles were fast, convenient, and require minimal equipment. Therefore, we feel that this method is a good candidate for the large scale, rapid screening, of both symptomatic and asymptomatic COVID-19 carriers and the screening of healthy workers following isolation.4 Early in 2014, a study found that different additives in the blood collection tubes, were able to influenced the detection of alcohol concentration.5 Moreover, a study found that DNA samples extracted from blood using two different anticoagulants (heparin tubes and EDTA-K2), gave similar results, especially for PCR based applications.6 These studies revealed that different additives in the vacuum blood collection tubes, showed clear confounding effects clinically. However, it is not clear whether these vacuum blood collection tubes with different additives affect the detection of SARS-CoV-2 IgM and IgG antibodies. Therefore, this study investigated the impact of different vacuum blood collection tubes, when detecting SARS-CoV-2 IgM and IgG antibodies in the plasma and serum using GICA. These results are expected to provide a theoretical basis for the future accurate detection of SARS-CoV-2 IgM and IgG antibodies.

Patient Samples

A total of 112 patients diagnosed as having COVID-19 by nucleic acid testing were enrolled from the Respiratory Department of Hankou Hospital of Wuhan, China, from March 6 to March 18, 2020. Nine of the 112 patients had their samples collected into four different types of collection tube. Among the patients, seven of the nine patients diagnosed with COVID-19 were used to quantify the concentration of SARS-CoV-2 IgM and IgG antibodies. Thirty-two of the 112 patients were used to detect SARS-CoV-2 IgM and IgG antibodies using EDTA-K2 as plasma and whole blood anticoagulants. Next, 200 healthy control subjects diagnosed as noninfectious for COVID-19 based on nucleic acid testing, were enrolled from the Department of Clinical Laboratory Medicine of Nanfang Hospital of Guangdong, China, from April 4 to April 5, 2020. Serum and plasma specimens were isolated from 2 mL of blood and placed into four different types of vacuum blood collection tube, which contained different additional reagents, such that the serum was collected into tubes with coagulants present and plasma with different anticoagulants (EDTA-K2, sodium citrate or lithium heparin).

Materials

IgG and IgM specific antibodies were detected in blood samples using recombinant coronavirus N protein labeled, and the results were seen using the naked eye. The new coronavirus antibody detection kit (colloidal gold based) and the colloidal gold solution were developed by Innotek (Tangshan) Biotechnology, and the chemiluminescence detection reagents were developed by Mairui Biotechnology Co., Ltd (Guangdong, China). The vacuum blood collection tubes with coagulants and EDTA-K2 were produced by Zhiyuan Biotechnology, Co., Ltd (Guangdong and Hubei, China), and those with sodium citrate and lithium heparin were from Jinxing Biotechnology Co., Ltd (Guangdong and Hubei, China). Blood samples from healthy subjects were collected into EDTA-K2 coated test tubes, and the samples from COVID-19 patients were collected into the test tubes as stated above. They were centrifuged at 1000×g at 4°C for 15 min and the serum and plasma collected. Finally, the samples were subjected to the GICA, or tested on an ARCHITECT i2000 (Mairui Biotechnology, Shenzhen, China) for the detection of IgM and IgG as specified by the manufacturer.

Detection Principle

Immunocapture methodology was used here to detect the SARS-CoV-2 IgM and IgG antibodies. The nitrocellulose membrane was coated with mouse anti-human IgM monoclonal antibodies, mouse anti-human IgG monoclonal antibodies, and goat anti-mouse IgG antibodies. Colloidal gold-labeled recombinant coronavirus antigen and mouse IgG antibodies were then used as a tracer. When the sample was added to the well in the presence of the IgM or IgG detection reagent, it is able to combine with the corresponding antigen to form a complex and then the coated mouse anti-human antibodies will react with this complex, forming a purple-red band, as detected on the card. The colloidal gold-labeled mouse IgG antibodies will form a purple-red band with the goat anti-mouse IgG antibodies.

Determination of Particle Sizes

Here, our aim was to determine the effect of different additives in the collection test tubes on their ability to chelate the colloidal gold. The size of the particle was determined by a Zetasizer Nano ZS90 analysis system (Malvern Instruments, UK, Zetasizer version 7.12). A size polydispersity Index (PDI), for number particle size distribution (PSD), with the x-axis showing the distribution of estimated particle diameter (nm) and the y-axis showing the relative percentage, was created.

Statistical Analysis

Data were analyzed using origin (version 2018), IBM SPSS Statistical software for Windows, version 22.0 (IBM Corporation Armonk, NY, USA) and GraphPad software (GraphPad Software, Inc., La Jolla, CA, USA). Data are presented as the mean ± standard deviation or median (interquartile range), unless otherwise indicated. The results from the concentration of SARS-CoV-2 antibodies detected by chemiluminescence assay (CA) were assessed by one-way analysis of variance followed by Student-Newman-Keuls test. A two-tailed probability (P) value of < 0.05 was considered statistically significant.

Results

EDTA-K2 Increased the Rate of Detection of SARS-CoV-2 IgM Antibodies in Anticoagulated Plasma

We collected serum and plasma with EDTA-K2 from 112 patients with COVID-19 to detect SARS-CoV-2 IgM and IgG antibodies using GICA. The vacuum collection tubes with coagulants and a separator were used to collect serum. Our results revealed that EDTA-K2 anticoagulated plasma had a higher positive detection rate for detecting SARS-CoV-2 IgM antibodies when compared to the serum group. Specifically, seventeen patients were found to be weakly positive, with an additional fifteen patients testing positive but were negative based on serum testing. Five patients were weakly positive, thirteen patients were positive and three patients were strongly positive, but very weak positive using serum testing. Twenty-one patients were detected as positive and two patient was strongly positive but weakly positive based on serum testing. Similarly, for IgG antibody testing, forty samples were interpreted as strongly positive but were detected as only positive when serum tested (Table 1).
Table 1

The Number of SARS-CoV-2 IgG and IgM Antibodies Detected in 112 Patients with Serum and Anticoagulated Plasma with EDTA-K2

Sample TypeProjectResultsAnticoagulated Plasma with EDTA-K2
-+–+-+++Total
SerumIgM-1401715046
+–00513321
+-00721230
+00014014
++000011
Total14029646112
IgG-19000019
+–000000
+-000000
+000402262
++00003131
Total19004053112

Notes: Annotation: -Negative; +–Very weak positive; +-Weak positive; +Positive; ++Strong positive.

The Number of SARS-CoV-2 IgG and IgM Antibodies Detected in 112 Patients with Serum and Anticoagulated Plasma with EDTA-K2 Notes: Annotation: -Negative; +–Very weak positive; +-Weak positive; +Positive; ++Strong positive. In addition, we analyzed the consistency of the results in detecting SARS-CoV-2 IgM and IgG antibodies when comparing serum and EDTA-K2 anticoagulated plasma. We classified very weakly positive, weakly positive and strongly positive, as positive, and kappa values were used to evaluate the consistency of the positive and negative groups. We found the total coincidence rate of IgG antibodies were all 100% in these two groups (weighted kappa value = 1.0), while the kappa value for the IgM antibody was 0.409 between the two groups (Table 2). Taken together, these findings demonstrated that EDTA-K2 increased the positive detection rate of SARS-CoV-2 IgM antibodies.
Table 2

Analysis of the Consistency of Detecting SARS-CoV-2 IgG and IgM Antibodies in 112 Patients with Serum and Anticoagulated Plasma with EDTA-K2

Sample TypeProjectResultsAnticoagulated Plasma with EDTA-K2Kappa Value
-+Total
serumIgM-1426400.409 (P=0.000)
+07272
Total1498112
IgG-100101.000 (P=0.000)
+0102102
Total10102112

Notes: Annotation: -Negative; +Positive.

Analysis of the Consistency of Detecting SARS-CoV-2 IgG and IgM Antibodies in 112 Patients with Serum and Anticoagulated Plasma with EDTA-K2 Notes: Annotation: -Negative; +Positive.

EDTA-K2 Improves the Detection of SARS-CoV-2 IgM Antibodies

Based on our hypothesis above, in order to investigate the impact of different types of vacuum collection tubes on the detection of SARS-CoV-2 antibodies, we collected blood specimens from nine COVID-19 patients with four different vacuum blood collection tubes (serum and anticoagulated plasma with lithium heparin, sodium citrate and EDTA-K2). Then, SARS-CoV-2 IgM and IgG antibodies were detected by GICA. Our results showed that EDTA-K2 anticoagulated plasma had a higher positive detection rate for IgM antibodies, with a darker color being present on the IgG card. However, there were no significant differences among the serum and anticoagulated plasma, when lithium heparin or sodium citrate were used (Figure 1).
Figure 1

Original picture on detected SARS-CoV-2 IgM and IgG antibodies in nine patients with different vacuum collection tubes by GICA. P: plasma (EDTA-K2); N: plasma (sodium citrate); L: plasma (lithium heparin); S: serum (coagulants).

Original picture on detected SARS-CoV-2 IgM and IgG antibodies in nine patients with different vacuum collection tubes by GICA. P: plasma (EDTA-K2); N: plasma (sodium citrate); L: plasma (lithium heparin); S: serum (coagulants). In addition, we aimed to further verify that this highly positive effect was attributable to EDTA-K2. Therefore, thirty-two of the 112 patients with COVID-19 had their plasma collected into EDTA-K2 tubes and the whole blood from these patients was tested. Our data showed that there was no difference in the ability to detect SARS-CoV-2 IgM or IgG antibodies when both the anticoagulated blood plasma or whole blood with EDTA-K2 was used (Table 3 and ). These results strongly demonstrated that anticoagulated blood plasma in the presence of EDTA-K2 improved the detection rates of SARS-CoV-2 IgM and IgG antibodies, and this was likely to be due to EDTA-K2, rather than the use of blood serum, plasma, or whole blood. Hence, these findings indicated a marked improvement when EDTA-K2 was used in the ability to enhance the detection of SARS-CoV-2 IgM antibodies.
Table 3

Percentage of SARS-CoV-2 Antibodies Detected in EDTA-K2 Anticoagulated Plasma and Whole Blood by GICA

Types of SpecimensPercentage of SARS-CoV-2 Detected IgM and IgG Antibodies (%)
-+–+-+++
Plasma IgM (EDTA-K2)15.63%(5/32)0.00%(0/32)25.00%(8/32)59.38%(19/32)0.00%(0/32)
Whole blood IgM (EDTA-K2)15.63%(5/32)0.00%(0/32)25.00%(8/32)59.38%(19/32)0.00%(0/32)
Plasma IgG (EDTA-K2)15.63%(5/32)0.00%(0/32)3.13%(1/32)0.00%(0/32)81.25%(26/32)
Whole blood IgG (EDTA-K2)15.63%(5/32)0.00%(0/32)3.13%(1/32)0.00%(0/32)81.25%(26/32)

Notes: Annotation:-(negative); +–(very weak positive); +-(weak positive); +(positive); ++(strong positive).

Percentage of SARS-CoV-2 Antibodies Detected in EDTA-K2 Anticoagulated Plasma and Whole Blood by GICA Notes: Annotation:-(negative); +–(very weak positive); +-(weak positive); +(positive); ++(strong positive).

EDTA-K2 Improves the Sensitivity of GICA for the Detection of SARS-CoV-2 IgM and IgG Antibodies

To explore the ability of EDTA-K2 to improve the detection sensitivity of SARS-CoV-2 IgM and IgG antibodies, four different kinds of blood specimens from seven COVID-19 patients with four different vacuum blood collection tubes (serum and anticoagulated plasma with lithium heparin, sodium citrate and EDTA-K2), were then subjected to the GICA and CA, respectively. The latter assay has a higher sensitivity than the former.7 Our results revealed that when CA was used to detect SARS-CoV-2 IgM and IgG antibodies, the presence of different anticoagulants had no effect on the measurements for serum or plasma (Figure 2A and B). However, when the same samples were detected by GICA, the results became significantly variable (Figure 1). Compared with other anticoagulated plasma and serum specimens, the results using EDTA-K2 anticoagulated plasma detected by GICA were more consistent with those results using CA. For example, in patients from 36 to 39, the concentration of IgM antibodies was found to be 2.71±0.03, 2.84±0.09, 1.15±0.08, and 5.24±0.11 Au/mL respectively when using CA (the reference interval was 0.0–1.0 Au/mL). These patients would be expected to test positive or strongly positive using the GICA. However, only the results from plasma treated with EDTA-K2 were consistent with those from the CA. The other anticoagulated plasma samples were judged as negative or weakly positive by GICA (Figure 1 and Table 4).
Figure 2

The detection results of SARS-CoV-2 IgM and IgG antibodies in seven patients by CA. (A). The detection results of SARS-CoV-2 IgM antibodies in seven patients. (B). The detection results of SARS-CoV-2 IgG antibodies in seven patients. Reference interval of IgM was 0.0–1.0 Au/mL; IgG was 0.0–10.0 Au/mL. #P>0.05 by one-way analysis of variance analysis.

Table 4

The Detection Results of SARS-CoV-2 IgM and IgG Antibodies in seven Patients by Colloidal Gold Assay and Chemiluminescence Assay

Patient IDSerumPlasma (EDTA-K2)Plasma (Sodium Citrate)Plasma (Lithium Heparin)
GICACAGICACAGICACAGICACA
IgM33+–(1.06±0.05)+(1.15±0.01)+–(1.04±0.08)+–(1.05±0.07)
34+–(0.445±0.05)+-(0.46±0.01)+-(0.445±0.01)+–(0.495±0.02)
36-(2.71±0.03)+(2.755±0.06)-(2.71±0.01)-(2.635±0.02)
37+-(2.84±0.09)+(2.76±0.01)+-(2.58±0.01)+-(2.55±0.04)
38-(1.15±0.08)+(1.215±0.02)-(1.16±0.10)-(1.255±0.04)
39+-(5.24±0.11)+(5.35±0.01)+-(4.94±0.08)+-(5.335±0.02)
41-(1.66±0.06)+(1.60±0.02)-(1.70±0.06)-(1.755±0.04)
IgG33+(143.94±1.32)+(142.35±1.90)+(142.63±0.52)+(144.15±1.63)
34+(124.65±0.05)++(126.46±2.65)+(118.78±2.51)+(121.10±1.55)
36+(150.36±0.09)+(161.33±0.94)+(147.25±1.77)+(150.28±1.80)
37+(134.29±1.01)+(136.09±1.53)+(130.85±1.20)+(128.73±1.03)
38+(151.44±2.04)+(154.42±2.01)+(146.57±0.81)+-(150.51±0.72)
39+(193.49±1.10)+(206.75±2.48)+(192.09±1.53)+(190.25±1.77)
41+(192.75±1.05)+(91±1.41)+(85.62±0.870)++(91.00±1.41)

Notes: Annotation: -Negative; +–Very weak positive; +-Weak positive; +Positive; ++Strong positive. Reference interval of chemiluminescence assay: IgM: 0.0–1.0Au/mL; IgG:0.0–10.00Au/mL.

The Detection Results of SARS-CoV-2 IgM and IgG Antibodies in seven Patients by Colloidal Gold Assay and Chemiluminescence Assay Notes: Annotation: -Negative; +–Very weak positive; +-Weak positive; +Positive; ++Strong positive. Reference interval of chemiluminescence assay: IgM: 0.0–1.0Au/mL; IgG:0.0–10.00Au/mL. The detection results of SARS-CoV-2 IgM and IgG antibodies in seven patients by CA. (A). The detection results of SARS-CoV-2 IgM antibodies in seven patients. (B). The detection results of SARS-CoV-2 IgG antibodies in seven patients. Reference interval of IgM was 0.0–1.0 Au/mL; IgG was 0.0–10.0 Au/mL. #P>0.05 by one-way analysis of variance analysis.

EDTA-K2 Did Not Increase the False Positive of SARS-CoV-2 Specific Antibody Detection Using GICA

We found that the anticoagulant EDTA-K2, increased detection sensitivity of the GICA. Next, we determined whether it induced the false positive for the detection of SARS-CoV-2 specific antibodies. We set up a blank group containing simply diluent and EDTA-K2. Surprisingly, our results showed that there was no visible purple-red color on the test line. Additionally, we collected anticoagulated plasma with EDTA-K2 from 200 healthy control patients with no COVID-19 infection, and all 200 healthy individuals were negative for both SARS-CoV-2 IgM and IgG antibodies, providing evidence that EDTA-K2 did not increase the false positive rate.

EDTA-K2 Amplifies Positive Signals by Chelating Colloidal Gold to Form High Molecular Weight Polymers

EDTA-K2 is commonly used in blood testing, as it can chelate calcium and reduce the anticoagulation reaction, However, it is unknown whether EDTA-K2 can also chelate colloidal gold and participate in antigen-antibody reactions. Therefore, we set up four groups: the control group was treated with the colloidal gold solution and coagulants, the test group was treated with EDTA-K2, sodium citrate or lithium heparin and colloidal gold solution. Next, Malvern apparatus was used to evaluate the particle size in the four groups. As expected, our results showed that there were two peaks in the EDTA-K2 group, but only one peak in other three groups. Specifically, the particle sizes were 47.58 ± 1.67 nm (PDI = 0.247 ± 0.02), 49.62 ± 2.20 nm (PDI = 0.250 ± 0.04) and 48.27 ± 2.65 nm (PDI = 0.209 ± 0.07) in the Au, Au+sodium citrate and Au+lithium heparin groups respectively. However, for the Au+EDTA-K2 group, the particle size of first peak was 164 ± 30 nm, which was larger than in the other three groups by approximately four times, and the second peak was 5399 ± 143 nm (PDI = 0.275 ± 0.03) (Figure 3A). Next, they were observed under a confocal laser microscope. We found that larger particle sizes in the test group with EDTA-K2 (Figure 3E), but no significant differences were seen between the Au group and the test groups containing lithium heparin, or sodium citrate (Figure 3B–D). These results provided solid evidence in support of our hypothesis that EDTA-K2 could amplify the positive signal by chelating colloidal gold.
Figure 3

The particle sizes of colloidal gold were detected by laser diffraction (Malvern) and confocal laser microscope, and expressed as mean (±SD) in four groups with five independent experiments, each performed in triplicate. (A) Particle sizes were 47.58±1.67 nm, 49.62±2.20 nm and 48.27±2.65 nm in the group of Au, Au+sodium citrate and Au+lithium heparin, respectively, but for the Au+EDTA-K2 group, the particle sizes of first peak was164±30 nm, and the second peak was 5399±143 nm. (B–E) Four groups of Au, Au+lithium heparin, Au+sodium citrate and Au+EDTA-K2 were observed under the microscope with oil lens, respectively. Arrows: aggregated colloidal gold particles.

The particle sizes of colloidal gold were detected by laser diffraction (Malvern) and confocal laser microscope, and expressed as mean (±SD) in four groups with five independent experiments, each performed in triplicate. (A) Particle sizes were 47.58±1.67 nm, 49.62±2.20 nm and 48.27±2.65 nm in the group of Au, Au+sodium citrate and Au+lithium heparin, respectively, but for the Au+EDTA-K2 group, the particle sizes of first peak was164±30 nm, and the second peak was 5399±143 nm. (B–E) Four groups of Au, Au+lithium heparin, Au+sodium citrate and Au+EDTA-K2 were observed under the microscope with oil lens, respectively. Arrows: aggregated colloidal gold particles.

Discussion

The incubation period of various SARS-CoV-2 infections in humans, is from one to fourteen days, and its transmission channels are diverse. In addition to the main routes of transmission through respiratory droplets and contact, it can also be transmitted through aerosols, the digestive tract, and vertical transmission.8 It has a high infection rate due to its multiple channels of transmission and strong infectivity. Therefore, early recognition of suspected patients, and identification of those with severe illness and the early isolation of those with clinical symptoms, are essential for disease control and prevention. At present, the nucleic acid SARS-CoV-2 RT-PCR tests have become the gold standard assay for the diagnosis of COVID-19 with a high sensitivity and specificity.9 However, this method is a relatively time-consuming and complicated and therefore, is not conducive to the screening of large numbers of samples. GICA based on colloidal gold particles is widely used to screen for antibodies in the blood against SARS-CoV-2. It has the advantages of convenient, fast detection, low cost and suitable for rapid screening of large numbers of samples, the results are intuitive and there is no requirement for specialized equipment, etc.10–12 Early in 2011, a study confirmed that GICA could be combine with the enrichment technique of immunomagnetic nanoparticles, to detect Escherichia coli O157: H7 with speed and sensitivity,13 this study provide powerful evidence for the conclusion that EDTA-K2 could chelate colloidal gold particles and increase the sensitivity of detection on SARS-CoV-2 IgM and IgG antibodies. However, some limitations exist for these assays, such as individual differences in the interpretation of results, which may lead to inconsistent results. In addition, these assays could be affected by several factors, including pH, where it was shown to influence the diagnosis of syphilis using GICA.14 Other studies reported a matrix effect when looking at five kinds of meat, using a colloidal GICA to detect sulfamethazine.15 EDTA-K2 has anticoagulant effects because it can chelate large amounts of calcium ions in the blood.16 Therefore, EDTA-K2 is commonly applied to blood samples as an anticoagulant in the clinical setting, but it can lead to the aggregation of platelets in the blood of individual patients, leading to pseudothrombocytopenia.17 EDTA-K2 has been found to influence the test results of Ca, Mg and Fe compared with the collection tubes excluding anticoagulant.18 Others have reported that EDTA-K2 can impact on the extent of detection of coagulation by PLT.19 However, researchers have found that EDTA-K2 no significant effects on the detection of divalent cation chelators containing anticoagulant detected ITP platelet specific antibodies (GP IIb/IIIa and GPI bα) using multi-antigen printing immunoassays.20 Whether EDTA-K2 could affect the detection of antibodies based on GICA remains unknown. In this study, we confirmed that EDTA-K2 could improve the detection sensitivity of anti-SARS-CoV-2 specific antibodies. Previous study found that colloidal selenium melamine test strips could rapidly detect colloidal selenium melamine test strips in contaminated milk products or animal feed, with high sensitivity.21 This finding provided powerful evidence for our results that the method of EDTA-K2 based on colloidal gold could be used in the detection of SARS-CoV-2. Therefore, we concluded that there is a significant effect of EDTA-K2 on colloidal gold, but these mechanisms remain largely unknown, and more studies are needed to clarify this phenomenon. IgM antibodies are rapidly produced in patients in response to acute infections with pathogens, therefore, it is important to accurately detect IgM antibodies at the time of initial diagnosis. In addition, IgM antibody tilters are important for monitoring recovering and relapsed patients. We found that EDTA-K2 could increase the positive detection rate of SARS-CoV-2 IgM antibodies when using GICAs. In this study, we designed a series of experiments to determine how EDTA-K2 affected the detection of anti-SARS-CoV-2 antibodies. We used confocal laser microscope and a Zetasizer Nano ZS90 analysis system to evaluate the particle sizes of our colloidal gold. The results revealed that EDTA-K2 could amplify the positive signal by chelating the colloidal gold. This suggested that, even if there was only a small amount of antibody in EDTA-K2 anticoagulated plasma, the color of the T line was darker. A deeper understanding of the reaction principle suggested that EDTA-K2 could amplify a weak signal by chelating colloidal gold and this can explain why the SARS-CoV-2 IgM antibodies could not be detected in other anticoagulated blood specimens such as sodium citrate and lithium heparin but could work in EDTA-K2 anticoagulated plasma. Although its sensitivity is not as high as CA, GICA can easily be used to screen large numbers of samples and is suitable for use in primary hospitals. Currently, with the new coronaviruses spreading worldwide,22,23 it is urgent to improve the sensitivity and speed of detection of SARS-CoV-2 IgM and IgG antibodies. These are major priorities to help curb the spread of the virus, so it is important to ensure that any diagnosis is made promptly and accurately. Overall, the results of this study provided solid evidence for the use of EDTA-K2 to improve the sensitivity of detection of SARS-CoV-2 IgM and IgG antibodies. However, it should be noted that when results between serum and anticoagulated plasma were inconsistent, we recommend that multiple methods should be used to confirm results, such as nucleic acid detection, CA, ELISA, and imaging examinations, combined with the patient’s clinical symptoms. These findings provided new insights for improving the detection of SARS-CoV-2 by GICA. However, several problems need to be addressed. First, the samples we used were from patients during the middle and late stages of treatment and rehabilitation. There 112 patients with COVID-19 and 200 healthy people involved in the project, but only seven patients with COVID-19 were enrolled to detect four different tubes. Since there are few patients infection SARS-CoV-2 in China, it is difficult to collect samples from the early stage of infection for verification, which is the limitation of this study. Second, other effects influencing the detection of COVID-19 by GICA remains unclear. Third, only one commercial kit was used for comparison in this study, and whether the pore size of the chromatography membrane had an effect on the test results remains largely unknown.

Conclusion

GICA and equipment-dependent CA were usually used to detect antibodies in clinic, GICA is widely used to detect antibodies for the advantages of convenient, fast, low cost, suitable for screening large sample and require minimal equipment. In this study, we found that EDTA-K2 anticoagulated plasma has higher positive rate than other anticoagulated plasma (sodium citrate and lithium heparin) or serum, especially, the results of EDTA-K2 anticoagulated plasma detected by GICA was high consistent with CA results. Further study shown that EDTA-K2 could amplify positive signal by chelating colloidal gold. Therefore, we suggested that EDTA-K2 anticoagulated plasma maybe more suitable for the detection of SARS-CoV-2 antibodies. However, more positive samples with SARS-CoV-2 were needed to further verify this results.
  14 in total

1.  Effect of anti-thyroid peroxidase (TPO) antibodies on TPO activity measured by chemiluminescence assay.

Authors:  V Kaczur; G Vereb; I Molnár; G Krajczár; E Kiss; N R Farid; C Balázs
Journal:  Clin Chem       Date:  1997-08       Impact factor: 8.327

2.  Development of a colloidal gold strip-based immunochromatographic assay for rapid detection of Fusarium oxysporum in ginger.

Authors:  Monalisa Ray; K Gopinath Achary; Sanghamitra Nayak; Shikha Singh
Journal:  J Sci Food Agric       Date:  2019-09-04       Impact factor: 3.638

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Authors:  Ruijun Li; Xianyu Zhang; Chuan Yang; Shigen Ye; Hua Li; Qiang Li
Journal:  J Nanosci Nanotechnol       Date:  2018-06-01

4.  Comparative study of the influence of EDTA and sodium heparin on long term storage of cattle DNA.

Authors:  Rosaiah Kotikalapudi; Rajesh K Patel
Journal:  Cell J       Date:  2015-04-08       Impact factor: 2.479

5.  Appropriate Handling, Processing and Analysis of Blood Samples Is Essential to Avoid Oxidation of Vitamin C to Dehydroascorbic Acid.

Authors:  Juliet M Pullar; Simone Bayer; Anitra C Carr
Journal:  Antioxidants (Basel)       Date:  2018-02-11

6.  Estimates of the severity of coronavirus disease 2019: a model-based analysis.

Authors:  Robert Verity; Lucy C Okell; Ilaria Dorigatti; Peter Winskill; Charles Whittaker; Natsuko Imai; Gina Cuomo-Dannenburg; Hayley Thompson; Patrick G T Walker; Han Fu; Amy Dighe; Jamie T Griffin; Marc Baguelin; Sangeeta Bhatia; Adhiratha Boonyasiri; Anne Cori; Zulma Cucunubá; Rich FitzJohn; Katy Gaythorpe; Will Green; Arran Hamlet; Wes Hinsley; Daniel Laydon; Gemma Nedjati-Gilani; Steven Riley; Sabine van Elsland; Erik Volz; Haowei Wang; Yuanrong Wang; Xiaoyue Xi; Christl A Donnelly; Azra C Ghani; Neil M Ferguson
Journal:  Lancet Infect Dis       Date:  2020-03-30       Impact factor: 25.071

7.  Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR.

Authors:  Victor M Corman; Olfert Landt; Marco Kaiser; Richard Molenkamp; Adam Meijer; Daniel Kw Chu; Tobias Bleicker; Sebastian Brünink; Julia Schneider; Marie Luisa Schmidt; Daphne Gjc Mulders; Bart L Haagmans; Bas van der Veer; Sharon van den Brink; Lisa Wijsman; Gabriel Goderski; Jean-Louis Romette; Joanna Ellis; Maria Zambon; Malik Peiris; Herman Goossens; Chantal Reusken; Marion Pg Koopmans; Christian Drosten
Journal:  Euro Surveill       Date:  2020-01

8.  Lateral flow test strip based on colloidal selenium immunoassay for rapid detection of melamine in milk, milk powder, and animal feed.

Authors:  Zhizeng Wang; Dejuan Zhi; Yang Zhao; Hailong Zhang; Xin Wang; Yi Ru; Hongyu Li
Journal:  Int J Nanomedicine       Date:  2014-04-03

9.  Clinical characteristics and intrauterine vertical transmission potential of COVID-19 infection in nine pregnant women: a retrospective review of medical records.

Authors:  Huijun Chen; Juanjuan Guo; Chen Wang; Fan Luo; Xuechen Yu; Wei Zhang; Jiafu Li; Dongchi Zhao; Dan Xu; Qing Gong; Jing Liao; Huixia Yang; Wei Hou; Yuanzhen Zhang
Journal:  Lancet       Date:  2020-02-12       Impact factor: 79.321

10.  The Antibody Response to SARS-CoV-2 Infection.

Authors:  Linda Hueston; Jen Kok; Ayla Guibone; Damien McDonald; George Hone; James Goodwin; Ian Carter; Kerri Basile; Indy Sandaradura; Susan Maddocks; Vitali Sintchenko; Nicole Gilroy; Sharon Chen; Dominic E Dwyer; Matthew V N O'Sullivan
Journal:  Open Forum Infect Dis       Date:  2020-08-27       Impact factor: 3.835

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  3 in total

1.  From the Free Ligand to the Transition Metal Complex: FeEDTA- Formation Seen at Ligand K-Edges.

Authors:  Sebastian Eckert; Eric J Mascarenhas; Rolf Mitzner; Raphael M Jay; Annette Pietzsch; Mattis Fondell; Vinícius Vaz da Cruz; Alexander Föhlisch
Journal:  Inorg Chem       Date:  2022-06-28       Impact factor: 5.436

Review 2.  Recent Progress on Rapid Lateral Flow Assay-Based Early Diagnosis of COVID-19.

Authors:  Ying Zhang; Yujuan Chai; Zulu Hu; Zhourui Xu; Meirong Li; Xin Chen; Chengbin Yang; Jia Liu
Journal:  Front Bioeng Biotechnol       Date:  2022-05-03

Review 3.  Recent advances in detection technologies for COVID-19.

Authors:  Tingting Han; Hailin Cong; Youqing Shen; Bing Yu
Journal:  Talanta       Date:  2021-06-12       Impact factor: 6.057

  3 in total

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