Coordinated Dispersion and Aggregation of Gold Nanorod in Aptamer-Mediated Gestational Hypertension Analysis

Bao, Xiucui; Huo, Gaoxiang; Li, Li; Cao, Xuebin; Lakshmipriya, Thangavel; Chen, Yeng; Hariri, Firdaus; Gopinath, Subash C. B.

doi:10.1155/2019/5676159

Cited by 15 publications

(13 citation statements)

References 42 publications

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“…All the complications were diagnosed by the obstetrician in the following criteria. Gestational hypertension: systolic blood pressure >140 mmHg (1 mmHg = 0.133 kPa) or diastolic blood pressure >90 mmHg after 20 weeks of gestation, without proteinuria [9] . GDM: fasting plasma glucose ≥5.1 mmol/L, or have a 75-g oral glucose tolerance test, after 1 h ≥10.0 mmol/L or after 2 h ≥8.5 mmol/L [10] .…”

Section: Methodsmentioning

confidence: 99%

Predicting fetal weight by three-dimensional limb volume ultrasound (AVol/TVol) and abdominal circumference

Sun

et al. 2021

Chinese Medical Journal

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Background:Fetal weight is an important parameter to ensure maternal and child safety. The purpose of this study was to use three-dimensional (3D) limb volume ultrasound combined with fetal abdominal circumference (AC) measurement to establish a model to predict fetal weight and evaluate its efficiency.Methods:A total of 211 participants with single pregnancy (28–42 weeks) were selected between September 2017 and December 2018 in the Beijing Obstetrics and Gynecology Hospital of Capital Medical University. The upper arm (AVol)/thigh volume (TVol) of fetuses was measured by the 3D limb volume technique. Fetal AC was measured by two-dimensional ultrasound. Nine cases were excluded due to incomplete information or the interval between examination and delivery >7 days. The enrolled 202 participants were divided into a model group (134 cases, 70%) and a verification group (68 cases, 30%) by mechanical sampling method. The linear relationship between limb volume and fetal weight was evaluated using Pearson Chi-squared test. The prediction model formula was established by multivariate regression with data from the model group. Accuracy of the model formula was evaluated with verification group data and compared with traditional formulas (Hadlock, Lee2009, and INTERGROWTH-21st) by paired t-test and residual analysis. Receiver operating characteristic curves were generated to predict macrosomia.Results:AC, AVol, and TVol were linearly related to fetal weight. Pearson correlation coefficient was 0.866, 0.862, and 0.910, respectively. The prediction model based on AVol/TVol and AC was established as follows: Y = −481.965 + 12.194TVol + 15.358AVol + 67.998AC, R2adj = 0.868. The scatter plot showed that when birth weight fluctuated by 5% (i.e., 95% to 105%), the difference between the predicted fetal weight by the model and the actual weight was small. A paired t-test showed that there was no significant difference between the predicted fetal weight and the actual birth weight (t = −1.015, P = 0.314). Moreover, the residual analysis showed that the model formula's prediction efficiency was better than the traditional formulas with a mean residual of 35,360.170. The combined model of AVol/TVol and AC was superior to the Lee2009 and INTERGROWTH-21st formulas in the diagnosis of macrosomia. Its predictive sensitivity and specificity were 87.5% and 91.7%, respectively.Conclusion:Fetal weight prediction model established by semi-automatic 3D limb volume combined with AC is of high accuracy, sensitivity, and specificity. The prediction model formula shows higher predictive efficiency, especially for the diagnosis of macrosomia.Trial Registration:ClinicalTrials.gov, NCT03002246; https://clinicaltrials.gov/ct2/show/NCT03002246?recrs=e&cond=fetal&draw=8&rank=67.

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Section: Methodsmentioning

confidence: 99%

Predicting fetal weight by three-dimensional limb volume ultrasound (AVol/TVol) and abdominal circumference

Sun

et al. 2021

Chinese Medical Journal

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“…The developed aptasensor allowed for the detection of physiological concentrations of cortisol (from 150 to 600 nM). A similar aptasensor was developed by X. Bao et al [ 44 ]. However, it was much less sensitive, and the limit of detection was only 690 μM (0.25 mg/mL).…”

Section: Aptasensors For Biomarker Detectionmentioning

confidence: 99%

Aptamer-Based Biosensors for the Colorimetric Detection of Blood Biomarkers: Paving the Way to Clinical Laboratory Testing

Davydova

Vorobyeva

2022

Biomedicines

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Clinical diagnostics for human diseases rely largely on enzyme immunoassays for the detection of blood biomarkers. Nevertheless, antibody-based test systems have a number of shortcomings that have stimulated a search for alternative diagnostic assays. Oligonucleotide aptamers are now considered as promising molecular recognizing elements for biosensors (aptasensors) due to their high affinity and specificity of target binding. At the moment, a huge variety of aptasensors have been engineered for the detection of various analytes, especially disease biomarkers. However, despite their great potential and excellent characteristics in model systems, only a few of these aptamer-based assays have been translated into practice as diagnostic kits. Here, we will review the current progress in the engineering of aptamer-based colorimetric assays as the most suitable format for clinical lab diagnostics. In particular, we will focus on aptasensors for the detection of blood biomarkers of cardiovascular, malignant, and neurodegenerative diseases along with common inflammation biomarkers. We will also analyze the main obstacles that have to be overcome before aptamer test systems can become tantamount to ELISA for clinical diagnosis purposes.

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“…Several methods that include passive adsorption and covalent bonding are used to produce a stable conjugation. Although gold nanoparticle has its own unique characteristics, such as rich in surface chemistry and low toxicity, it is not often used in the conjugation process due to it is highly costly to produce a final product [12][13][14]. Taken together, it can be concluded that conjugation method is safe and easy to use when combining with different materials.…”

Section: Introductionmentioning

confidence: 99%

Conjugation of Silver and Gold Nanoparticles for Enhancing Antimicrobial Activity

Yusoff¹,

Gopinath²,

Uda³

et al. 2022

INNOSC Theran & Pharm Sc

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Silver and gold nanoparticles are promising agents that can enhance the antibacterial activity of conjugated/capped extract of plant compounds. The aim of our study is to synthesize silver nanoparticles from Gymnema sylvestre plant extract. In this study, the antimicrobial activity of conjugated silver which was green synthesized and gold nanoparticle that was obtained from a commercial source was evaluated using disk-diffusion method against Escherichia coli and Aspergillus niger. Transmission electron microscopy, scanning electron microscopy, ultraviolet-visible spectroscopy, and Fourier transform infrared spectroscopy analyses were also carried out to characterize the conjugated silver and gold nanoparticles. The conjugation of silver and gold nanoparticles was performed chemically using 16-mercaptodecanoic acid. Our results revealed that conjugated silver and gold nanoparticle both showing larger inhibition zones against E. coli and A. niger. The minimum inhibitory concentration (MIC) of the above metallic conjugation was found to be stable with MIC was reported to be 1 mM. When comparing the sample analysis on conjugation of gold and silver nanoparticles against E. coli and A. niger, the antimicrobial activity recorded was 2.0 ± 0.01 and 2.32 ± 0.04 cm, respectively, with no significance difference was found (P = 0.85). In conclusion, the combination of two different nanoparticles is efficient for microbial inhibition and can be useful for studying antimicrobial activities with the combination of different nanomaterials in future.

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Coordinated Dispersion and Aggregation of Gold Nanorod in Aptamer-Mediated Gestational Hypertension Analysis

Cited by 15 publications

References 42 publications

Predicting fetal weight by three-dimensional limb volume ultrasound (AVol/TVol) and abdominal circumference

Predicting fetal weight by three-dimensional limb volume ultrasound (AVol/TVol) and abdominal circumference

Aptamer-Based Biosensors for the Colorimetric Detection of Blood Biomarkers: Paving the Way to Clinical Laboratory Testing

Conjugation of Silver and Gold Nanoparticles for Enhancing Antimicrobial Activity

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