Unraveling Clinical Glycoproteome by Integrating Affinity Enrichment with Nanopore Sequencing.

This prospect explores the integration of enrichment strategies with nanopore detection to advance clinical glycoproteomics. Glycoproteins, crucial for understanding biological processes, pose challenges due to their low abundance and structural diversity. Enrichment techniques using lectin affinity, boronate affinity, and hydrazide chemistry and especially molecular imprinted polymers may selectively and specifically isolate glycoproteins from complex samples, while nanopore technology enables label-free, real-time, and single-molecule analysis. This approach holds promise for disease-related glycosylation studies, biomarker discovery, personalized medicine, and streamlined clinical analysis. Standardization, optimization, and data analysis remain challenges, requiring interdisciplinary collaborations and technological advancements. Overall, this integration may offer transformative potential for clinical glycoproteomics and innovative diagnostic and therapeutic strategies.

Association of the triglyceride-glucose index with all-cause and cardiovascular mortality in patients with cardiometabolic syndrome: a national cohort study.

OBJECTIVE: This study aimed to evaluate the association of triglyceride-glucose (TyG) index with all-cause and cardiovascular mortality risk among patients with cardiometabolic syndrome (CMS). METHODS: We performed a cohort study of 5754 individuals with CMS from the 2001-2018 National Health and Nutrition Examination Survey. The TyG index was calculated as Ln [fasting triglycerides (mg/dL) × fasting glucose (mg/dL)/2]. Multivariate Cox proportional hazards regression models assessed the associations between TyG index and mortality . Non-linear correlations and threshold effects were explored using restricted cubic splines and a two-piecewise Cox proportional hazards model. RESULTS: Over a median follow-up of 107 months, 1201 all-cause deaths occurred, including 398 cardiovascular disease-related deaths. The multivariate Cox proportional hazards regression model showed a positive association between the TyG index and all-cause and cardiovascular mortality. Each one-unit increase in the TyG index was associated with a 16% risk increase in all-cause mortality (HR: 1.16, 95% CI 1.03, 1.31, P = 0.017) and a 39% risk increase in cardiovascular mortality (HR: 1.39, 95% CI 1.14, 1.71, P = 0.001) after adjusting for confounders. The restricted cubic splines revealed a U-shaped association between the TyG index and all-cause (P for nonlinear < 0.001) and cardiovascular mortality (P for nonlinear = 0.044), identifying threshold values (all-cause mortality: 9.104; cardiovascular mortality: 8.758). A TyG index below these thresholds displayed a negative association with all-cause mortality (HR: 0.58, 95% CI 0.38, 0.90, P = 0.015) but not with cardiovascular mortality (HR: 0.39, 95% CI 0.12, 1.27, P = 0.119). Conversely, a TyG index exceeding these thresholds was positively associated with all-cause and cardiovascular mortality (HR: 1.35, 95% CI 1.17, 1.55, P < 0.001; HR: 1.54, 95% CI 1.25, 1.90, P < 0.001, respectively). Notably, a higher TyG index (≥ threshold values) was significantly associated with increased mortality only among individuals aged under 55 compared to those with a lower TyG index (< threshold values). CONCLUSIONS: The TyG index demonstrated a U-shaped correlation with all-cause and cardiovascular mortality in individuals with CMS. The thresholds of 9.104 and 8.758 for all-cause and cardiovascular mortality, respectively, may be used as intervention targets to reduce the risk of premature death and cardiovascular disease.

Prediction of Transcription Factor Binding Sites on Cell-Free DNA Based on Deep Learning.

Transcription factors (TFs) are important regulatory elements for vital cellular activities, and the identification of transcription factor binding sites (TFBS) can help to explore gene regulatory mechanisms. Research studies have proved that cfDNA (cell-free DNA) shows relatively higher coverage at TFBS due to the protection by TF from degradation by nucleases and short fragments of cfDNA are enriched in TFBS. However, there are still great difficulties in the noninvasive identification of TFBSs from experimental techniques. In this study, we propose a deep learning-based approach that can noninvasively predict TFBSs of cfDNA by learning sequence information from known TFBSs through convolutional neural networks. Under the addition of long short-term memory, our model achieved an area under the curve of 84%. Based on this model to predict cfDNA, we found consistent motifs in cfDNA fragments and lower coverage occurred upstream and downstream of these cfDNA fragments, which is consistent with a previous study. We also found that the binding sites of the same TF differ in different cell lines. TF-specific target genes were detected from cfDNA and were enriched in cancer-related pathways. In summary, our method of locating TFBSs from plasma has the potential to reflect the intrinsic regulatory mechanism from a noninvasive perspective and provide technical guidance for dynamic monitoring of disease in clinical practice.

Associations between Life's Essential 8 and abdominal aortic calcification among US Adults: a cross-sectional study.

BACKGROUND: Cardiovascular health (CVH) and abdominal aortic calcification (AAC) are closely linked to cardiovascular disease (CVD) and related mortality. However, the relationship between CVH metrics via Life's Essential 8 (LE8) and AAC remains unexplored. METHODS: The study analyzed data from the 2013-2014 National Health and Nutrition Examination Survey (NHANES) cohort, which included adults aged 40 or above. The research used the LE8 algorithm to evaluate CVH. Semi-quantitative AAC-24 scoring techniques were employed to assess AAC, categorized into no calcification, mild to moderate calcification, and severe calcification. RESULTS: The primary analysis involved 2,478 participants. Following adjustments for multiple factors, the LE8 score exhibited a significant association with ACC risk (Mild-moderate ACC: 0.87, 95% CI: 0.81,0.93; Severe ACC: 0.77, 95% CI: 0.69,0.87, all P < 0.001), indicating an almost linear dose-response relationship. Compared to the low CVH group, the moderate CVH group showed lower odds ratios (OR) for mild-moderate and severe calcification (OR = 0.78, 95% CI: 0.61-0.99, P = 0.041; OR = 0.68, 95% CI: 0.46-0.99, P = 0.047, respectively). Moreover, the high CVH group demonstrated even lower ORs for mild-moderate and severe calcification (OR = 0.46, 95% CI: 0.31, 0.69, P < 0.001; OR = 0.29, 95% CI: 0.14, 0.59, P = 0.001, respectively). Interactions were found between chronic kidney disease (CKD) condition, history of CVD, marital status and CVH metrics to ACC. Participants without CKD exhibited a more pronounced negative association between the CVH metric and both mild-moderate and severe ACC. Those lacking a history of CVD, and never married/widowed/divorced/separated showed a stronger negative association between the CVH metric and severe ACC. CONCLUSIONS: The novel CVH metrics demonstrated an inverse correlation with the risk of AAC. These findings suggest that embracing improved CVH levels may assist in alleviating the burden of ACC.

Long-Term Trends in Risk Factor Management in Respondents with Chronic Kidney Disease in the USA.

INTRODUCTION: Unhealthy lifestyle factors are known to increase the risk of chronic kidney disease (CKD) and its complications. The long-term trends in these factors are unclear. METHODS: The aim of the study was to assess temporal trends in the prevalence of risk factors in adults with CKD in the USA and identify sociodemographic subgroups at most risk. Subanalysis of data was carried out from a stratified, complex, multistage probability-based cross-sectional and nationally representative survey. We examined participants from National Health and Nutritional Examination Survey (NHANES) respondents aged ≥20 years with CKD from 1999 to 2018. CKD was defined as estimated glomerular filtration rate of 15-59 mL/min/1.73 m2. Evaluated risk factors included uncontrolled blood pressure, blood glucose, blood lipids, excessive sodium intake, excessive protein intake, poor diet, obesity, smoking, depression, physical inactivity, and sedentary behavior. Sociodemographic variables included age, sex, race/ethnicity, marital status, education level, family income, and employment status. RESULTS: Blood pressure control among respondents with CKD (n = 4,342) was poor but significantly improved from the 1999-2000 (82% uncontrolled) to 2017-2018 surveys (66%; p for linear trend = 0.02). Prevalence of uncontrolled blood glucose (15-22%; p < 0.01), excessive sodium intake (72-78%; p = 0.04), and obesity (32-51%; p < 0.01) significantly increased over this time. The proportion of respondents with uncontrolled blood lipids, depression, smoking, excessive protein intake, poor diet, physical inactivity, or sedentary behavior showed no significant change over the 10-year period. Older people were more likely to have high blood pressure, high blood glucose, and high blood lipids but healthier lifestyle habits than younger people. And respondents of males, non-Hispanic blacks, Hispanics, low income, low education, widowed/divorced/separated, and employed had worse risk factor control compared to reference groups. DISCUSSION/CONCLUSION: Although the control of several risk factors in US NHANES respondents with CKD improved from 1999 to 2018, further reductions remain of value.

Adherence to prescribed antihypertensive medication among patients with depression in the United States.

BACKGROUND: Hypertensive patients with depression have a higher mortality rate and a worse prognosis compared with hypertensive only. Depression may reduce medication adherence in hypertension patients. METHODS: This study includes respondents in the National Health and Nutritional Examination Survey (NHANES) database from 2005 to 2018 who had previously been diagnosed with hypertension. Medication adherence was defined as taking medication as recommended by a physician. The depressive state was assessed using the patient health questionnaire (PHQ)-9. RESULTS: Nine thousand one hundred eighty-six respondents were included in the analysis. Medication adherence was associated with depression (odds ratio [OR]: 1.48, 95% confidence interval [CI]: 1.26 to1.75) and depression score (OR: 1.04 per each point increase, 1.03 to 1.05) in the unadjusted analyses. After adjusting for clinical and socioeconomic/demographic factors, there were significant statistical correlations between depression score and medication adherence (aOR: 1.02 per each point increase, 1.00 to 1.03, p < 0.05), but there was no significant statistical correlation between depression and medication adherence (p > 0.05). It was still statistically significant relationships between sex, age, body mass index (BMI), race, marital status, and health insurance with medication adherence after adjusted socioeconomic/demographic factors. CONCLUSION: Depression was marginally associated with poor medication adherence in hypertensive patients, and the correlation increased with depression degree. Moreover, socioeconomic/demographic factors have an independent impact on medication adherence including sex, age, BMI, race, marital status, and health insurance.

Antifeedant Mechanism of Dodonaea viscosa Saponin A Isolated from the Seeds of Dodonaea viscosa.

Dodonaea viscosa is a medicinal plant which has been used to treat various diseases in humans. However, the anti-insect activity of extracts from D. viscosa has not been evaluated. Here, we found that the total saponins from D. viscosa (TSDV) had strong antifeedant and growth inhibition activities against 4th-instar larvae of Spodoptera litura. The median antifeeding concentration (AFC50) value of TSDV on larvae was 1621.81 µg/mL. TSDV affected the detoxification enzyme system of the larvae and also exerted antifeedant activity possibly through targeting the γ-aminobutyric acid (GABA) system. The AFC50 concentration, the carboxylesterase activity, glutathione S-transferases activity, and cytochrome P450 content increased to 258%, 205%, and 215%, respectively, and likewise the glutamate decarboxylase activity and GABA content to 195% and 230%, respectively, in larvae which fed on TSDV. However, D. viscosa saponin A (DVSA) showed better antifeedant activity and growth inhibition activity in larvae, compared to TSDV. DVSA also exerted their antifeedant activity possibly through targeting the GABA system and subsequently affected the detoxification enzyme system. Further, DVSA directly affected the medial sensillum and the lateral sensillum of the 4th-instar larvae. Stimulation of Spodoptera litura. with DVSA elicited clear, consistent, and robust excitatory responses in a single taste cell.

Effect of dextrin on flotation separation and surface properties of chalcopyrite and arsenopyrite.

The flotation separation and mechanism of dextrin on chalcopyrite and arsenopyrite surface were investigated using micro-flotation tests, zeta potential measurements, infrared spectroscopy, contact angle measurement and surface adsorption experiments. The micro-flotation test showed that dextrin had obvious inhibitory effect on arsenopyrite flotation, but had no inhibitory effect on chalcopyrite flotation. After treating the surface of arsenopyrite with dextrin, the infrared spectra showed that new characteristic peaks, indicating that chemical adsorption and significant interaction between dextrin and arsenopyrite particles. Zeta potential measurements, contact angle measurement and surface adsorption experiments showed that the selective adsorption of dextrin added a large number of hydrophilic groups to the surface of arsenopyrite, but had little effect on chalcopyrite. In addition, the macromolecular chain structure of dextrin may hinder the attachment of collector molecules to arsenopyrite. The combined effect of these two aspects makes the arsenopyrite treated with dextrin lose its hydrophobicity and enables the separation of chalcopyrite and arsenopyrite.

Deformation-Mediated Translocation of DNA Origami Nanoplates through a Narrow Solid-State Nanopore.

With the development in DNA self-assembly technology, DNA origami nanostructures have been widely applied in biomedical research. Solid-state nanopores represent an emerging single-molecule sensing platform for studying nanostructures with arbitrary dimensions and physical characteristics, including DNA origami. Here, we employed relatively narrow silicon nitride nanopores to detect the deformation and translocation of DNA origami nanoplates with dimensions of approximately 60 × 54 nm. We performed translocation experiments using three nanopore diameters that are all smaller than the plat dimensions. Analysis of current blockade signals and the representative events reveals three types of translocation orientations for the nanoplates. Furthermore, by studying the electrical signal characteristics (current change and dwell time) for the different diameter pores, we obtained information about the translocation behaviors for the DNA nanoplates through different constrictions. Our investigation provides an approach to analyze the deformation and translocation of DNA origami structures.

Recognition of Bimolecular Logic Operation Pattern Based on a Solid-State Nanopore.

Nanopores have a unique advantage for detecting biomolecules in a label-free fashion, such as DNA that can be synthesized into specific structures to perform computations. This method has been considered for the detection of diseased molecules. Here, we propose a novel marker molecule detection method based on DNA logic gate by deciphering a variable DNA tetrahedron structure using a nanopore. We designed two types of probes containing a tetrahedron and a single-strand DNA tail which paired with different parts of the target molecule. In the presence of the target, the two probes formed a double tetrahedron structure. As translocation of the single and the double tetrahedron structures under bias voltage produced different blockage signals, the events could be assigned into four different operations, i.e., (0, 0), (0, 1), (1, 0), (1, 1), according to the predefined structure by logic gate. The pattern signal produced by the AND operation is obviously different from the signal of the other three operations. This pattern recognition method has been differentiated from simple detection methods based on DNA self-assembly and nanopore technologies.

Translocation of Rigid Rod-Shaped Virus through Various Solid-State Nanopores.

Nanopores have been used as a high throughput tool for characterizing individual biomolecules and nanoparticles. Here, we present the translocation of rigid rod-shaped tobacco mosaic virus (TMV) through solid-state nanopores. Interestingly, due to the high rigidity of TMV, three types of events with distinctive characteristics at the capture process and a strong current fluctuation during the translocation of TMV are observed. A kinetic model is then proposed to address the dynamics of the translocation, followed by corresponding dynamics simulations. The results reveal that TMV has to rotate to fit and pass the pore when it is captured by a nanopore with an angle larger than the maximum angle that allows it to pass through. Then, we investigate the dependence of the rotation of TMV on the conductance fluctuations at the blockade stage. The results show that the rotation of TMV during the passage through the pore affects the current signal significantly. This study gives a fundamental understanding of the dynamics of rod-shaped particles translocating through the nanopore and how the current responds to it. It opens a new possible way to characterize the rigidity of analytes by nanopores.

Detection of a single enzyme molecule based on a solid-state nanopore sensor.

The nanopore sensor as a high-throughput and low-cost technology can detect a single molecule in a solution. In the present study, relatively large silicon nitride (Si3N4) nanopores with diameters of ∼28 and ∼88 nm were fabricated successfully using a focused Ga ion beam. We have used solid-state nanopores with various sizes to detect the single horseradish peroxidase (HRP) molecule and for the first time analyzed single HRP molecular translocation events. In addition, a real-time monitored single enzyme molecular biochemical reaction and a translocation of the product of enzyme catalysis substrates were investigated by using a Si3N4 nanopore. Our nanopore system showed a high sensitivity in detecting single enzyme molecules and a real-time monitored single enzyme molecular biochemical reaction. This method could also be significant for studying gene expression or enzyme dynamics at the single-molecule level.

The Impact of Blood Sample Processing on Ribonucleic Acid (RNA) Sequencing.

In gene quantification and expression analysis, issues with sample selection and processing can be serious, as they can easily introduce irrelevant variables and lead to ambiguous results. This study aims to investigate the extent and mechanism of the impact of sample selection and processing on ribonucleic acid (RNA) sequencing. RNA from PBMCs and blood samples was investigated in this study. The integrity of this RNA was measured under different storage times. All the samples underwent high-throughput sequencing for comprehensive evaluation. The differentially expressed genes and their potential functions were analyzed after the samples were placed at room temperature for 0h, 4h and 8h, and different feature changes in these samples were also revealed. The sequencing results showed that the differences in gene expression were higher with an increased storage time, while the total number of genes detected did not change significantly. There were five genes showing gradient patterns over different storage times, all of which were protein-coding genes that had not been mentioned in previous studies. The effect of different storage times on seemingly the same samples was analyzed in this present study. This research, therefore, provides a theoretical basis for the long-term consideration of whether sample processing should be adequately addressed.

Long-term trends in lifestyle factors among respondents with dyslipidemia in the United States.

OBJECTIVES: To explore the long-term trends in unhealthy lifestyle factors and the risk sociodemographic subgroups among people with dyslipidemia. METHODS: Data extracted from the 1999 to 2018 National Health and Nutrition Examination Survey (NHANES). Lifestyle factors were smoking status, alcohol drinking, obesity, dietary quality, depression, physical activity, and sedentary behavior. A Joinpoint regression model was used to estimate trends in the log-transformed age-standardized prevalence. Multinomial logistic regression models adjusted for age, sex, and race/ethnicity were used to analyze subgroups by sociodemographic factors. RESULTS: Data for 33,680 respondents were extracted between 1999 and 2018. The prevalence of smoking and poor-quality diet decreased from 1999 to 2018 (P<0.001), while obesity significantly increased (P<0.001). The prevalence of depression marginally increased from 2005 to 2018 (P=0.074). We observed that non-Hispanic Black individuals, Hispanics, males, as well as those with lower family income-to-poverty ratios and education levels, unemployed individuals, or those lacking a spouse/live-in partner, were at elevated risk of unhealthy lifestyle factors when compared to the reference groups. CONCLUSIONS: Among NHANES respondents from 1999 to 2018 with dyslipidemia, significant reductions in the prevalence of current smoking and poor diet were observed, while the prevalence of obesity was markedly increased. There were sociodemographic differences in the management of lifestyle factors. Further initiatives to encourage people with dyslipidemia are required to reduce potential adverse outcomes.

Obstructive Sleep Apnea as a Key Contributor to Mental Stress-Induced Myocardial Ischemia in Female Angina Patients with No Obstructive Coronary Artery Disease.

Purpose: Mental stress induced myocardial ischemia (MSIMI) is regarded as the primary cause of the angina with no obstructive coronary artery disease (ANOCA). Obstructive sleep apnea (OSA) is autonomously linked to obstructive coronary heart disease, hypertension, and sudden cardiac death. Similar to the impact of psychological stress on the cardiovascular system, individuals with OSA experience periodic nocturnal hypoxia, resulting in the activation of systemic inflammation, oxidative stress, endothelial dysfunction, and sympathetic hyperactivity. The contribution of OSA to MSIMI in ANOCA patients is unclear. To explore the prevalence of OSA in ANOCA patients and the correlation between OSA and MSIMI, a prospective cohort of female ANOCA patients was recruited. Patients and Methods: We recruited female patients aged 18 to 75 years old with ANOCA and evaluated MSIMI using positron emission tomography-computed tomography. Subsequently, Level III portable monitors was performed to compare the relationship between OSA and MSIMI. Results: There is higher REI (7.8 vs 2.6, P=0.019), ODI (4.7 vs 9.2, P=0.028) and percentage of OSA (67.74% vs 33.33%, P=0.004) in MSIMI patients. The patients diagnosed with OSA demonstrated higher myocardial perfusion imaging scores (SSS: 1.5 vs 3, P = 0.005, SDS: 1 vs 3, P = 0.007). Adjusted covariates, the risk of developing MSIMI remained 3.6 times higher in OSA patients (ß=1.226, OR = 3.408 (1.200-9.681), P = 0.021). Conclusion: Patients with MSIMI exhibit a greater prevalence of OSA. Furthermore, the myocardial blood flow perfusion in patients with OSA is reduced during mental stress.

Mental Stress-Induced Myocardial Ischemia Detected by Global Longitudinal Strain and Quantitative Myocardial Contrast Echocardiography in Women With Nonobstructive Coronary Artery Disease.

BACKGROUND: The utility of radionuclide myocardial perfusion imaging including positron emission tomography (PET) for diagnosing mental stress-induced myocardial ischemia (MSIMI) is clinically restricted. This study aims to assess the diagnostic performance of novel echocardiographic techniques, including automated strain and quantitative myocardial contrast echocardiography (MCE) with dedicated software and deep neural network model, for MSIMI detection. The secondary objective was to explore the correlation between changes in myocardial blood flow and MSIMI. METHODS: Seventy-two female patients ages 18 to 75 with angina and nonobstructive coronary artery disease (ANOCA) and 23 healthy controls were prospectively recruited. Both echocardiography with contrast agent and PET imaging were performed during structured mental stress testing. Mental stress-induced myocardial ischemia was defined as a summed difference score ≥3 on PET. Echocardiographic parameters including left ventricular global longitudinal strain, ß, and A × ß were obtained, and their trends during mental stress testing were observed. ΔGLS was defined as the ratio of difference between global longitudinal strain values at stress and rest to the rest data. ß reserve and A×ß reserve were respectively calculated. RESULTS: Thirty-two ANOCA patients (44%) and 1 control (4%) were diagnosed with MSIMI (P < .01). For ANOCA patients with MSIMI, left ventricular GLS, ß, and A × ß declined to varied extents during mental stress testing compared with those without MSIMI and the controls (P < .05). Bland-Altman plots demonstrated good consistency between ß reserve and A × ß reserve output by the deep neural network model and iMCE software. Receiver operating characteristic curve analyses showed that ΔGLS, ß reserve, and A × ß reserve demonstrated favorable ability to predict MSIMI, especially the combination of A × ß reserve using iMCE analysis and ΔGLS (area under the curve, 0.94; sensitivity, 83%; specificity, 97%). CONCLUSIONS: Novel technologies in echocardiography exhibit the potential to be a clinical alternative to cardiac PET for effectively detecting MSIMI. Attenuated myocardial blood flow response during structured mental stress testing was correlated with MSIMI, providing a reasonable explanation for the chest discomfort persisting in ANOCA women.

Objective Ischemia, Subjective Angina, and Psychological Distress in Angina With No Obstructive Coronary Disease.

BACKGROUND: Angina with no obstructive coronary disease (ANOCA) and ischemia with no obstructive coronary disease, prevalent yet underrecognized conditions, mostly affect women. Previous studies rarely distinguished between them. We aimed to compare the prevalence of objective ischemia through various examinations in women with ANOCA and assess the impact of objective and subjective ischemia on their mental health. METHODS AND RESULTS: A total of 84 eligible women with ANOCA and 42 controls underwent mental stress, pharmacological stress, exercise stress, and Holter testing. Objective evidence of myocardial ischemia was assessed by positron emission tomography-computed tomography and ECG, and subjective symptoms were graded using the Canadian Cardiovascular Society scale (CCS). Psychological assessments were conducted using 6 scales. Among 84 women with ANOCA, 37 (44%) received a diagnosis of ischemia with no obstructive coronary disease following mental stress testing, 20 (28.6%) through pharmacological stress testing, 14 (21.2%) via exercise stress testing, and 24 (32.9%) from Holter. Mental stress-induced myocardial ischemia was more prevalent (P<0.05). Among 54 patients with ANOCA who completed all tests, 30% showed no ischemia, and only 1 (1.9%) showed ischemia in all tests. In addition, patients with ANOCA had higher psychological scores than controls (P<0.01). No significant differences was observed in psychological scores between ANOCA with positive and negative ischemia test results (P>0.05). However, ANOCA with milder angina (CCS I) exhibited higher scores across the Hospital Anxiety and Depression Scale, State-Trait Anxiety Inventory, Perceived Stress Scale, and Posttraumatic Stress Disorder Checklist-Civilian Version and a higher prevalence of Type D personality traits (P<0.05). CONCLUSIONS: In patients with ANOCA, the positive rate of myocardial ischemia exhibits variability among several noninvasive tests. A worsened psychological state is more closely linked to milder angina symptoms than to ischemia performance, highlighting the importance of focusing on symptom management in their psychological care. REGISTRATION: URL: https://www.clinicaltrials.gov; Unique identifier: NCT03982901.

Silicon nitride nanopores for nanoparticle sensing.

In recent years, nanopore has attracted broad attention as an essential technique for DNA sequencing and nanoparticle sensing. This work presented a fundamental study of nanoparticle translocation through silicon nitride nanopores. Since particles with rather high charge to mass ratio, such as DNA and proteins, have been widely studied, there was still little information about the translocation behavior of nanoparticles with low charge/mass ratio. However, these nanoparticles include viruses and colloids are important potential sample for nanopore sensing technique. In order to screen nanoparticles' size, concentration, surface property by apply silicon nitride nanopores, and fulfill specific recognition which could be applied in laboratory medicine and environmental monitoring, optimal experimental conditions needed to be confirmed. In this paper, polystyrene (PS) bead was used as an example to provide reference towards this condition. The effects of nanopore/nanoparticle diameter ratio and bias voltage on sensing results were analyzed in this work. We found that lower precision accuracy might be demonstrated by the larger pore (120 nm) while the translocation velocity tended to be slowed down. By increasing the bias voltage could favor the detection productiveness. In spite of the intense interest, the baseline fluctuations and vague event bounds aggravated are far from understood.

Dietary lycopene is negatively associated with abdominal aortic calcification in US adults: a cross-sectional study.

BACKGROUND: Vascular calcification (VC) is one of the complications of chronic kidney disease (CKD) patients. Previous studies have confirmed that oxidative stress (OS) plays an important role in developing VC and that antioxidants have anti-VC effects. OBJECTIVES: Our study aimed to determine the relationship between the intake of antioxidants from dietary sources and the prevalence of VC, especially in the CKD population. METHODS: This cross-sectional study analyzed population-based data from the National Health and Nutrition Examination Survey (NHANES; 2013-2014). Participants were noninstitutionalized adults >40 years of age. Diet-derived antioxidants were obtained from the first 24-h dietary recall interviews. The abdominal aortic calcification (AAC) score was measured by a DXA scan. We divided the AAC scores into three groups: no calcification (AAC =0), mild to moderate calcification (0< AAC ≤6), and severe calcification (AAC >6). RESULTS: A total of 2897 participants were included in the main analysis. Our results showed that vitamin B6, α-tocopherol, and lycopene were associated with severe AAC in unadjusted models (odds ratio (OR): 0.81, 95% confidence interval (CI): 0.72-0.91, p = 0.001; OR: 0.97, 95% CI: 0.95-0.99, p = 0.008; OR: 0.98, 95% CI: 0.96-0.99, p = 0.01, respectively). However, only dietary lycopene was associated with severe AAC after adjusting covariates based on clinical and statistical significance. Per 1 mg higher intake of diet-derived lycopene per day, the odds of having severe AAC were 2% lower in the fully adjusted model (OR: 0.98, 95% CI: 0.95-0.999, p = 0.04). Moreover, in subgroup analysis, diet-derived antioxidant was not associated with AAC in patients with CKD.Our findings indicate that a higher intake of diet-derived lycopene was independently associated with lower odds of having severe AAC in humans. Therefore, a high intake of diet-derived lycopene may help prevent severe AAC.

Dietary lycopene was inversely associated with vascular calcification (VC) in adults.Patients with chronic kidney disease (CKD) have a higher chance of having severe VC.Dietary antioxidants were not significantly associated with VC in patients with CKD.

Physical activity attenuates the association between blood cadmium exposure and cardiovascular disease: findings from the National Health and Nutrition Examination Survey 2007-2018.

Existing studies could not separate the effects of heavy metal exposure on cardiovascular disease (CVD) risk from those caused by physical activity (PA). The possible interactive effect of heavy metal exposure and PA on the risk of CVD remains still unknown. We enrolled a total of 12,280 participants in 2007-2018 cycles of the U.S. National Health and Nutrition Examination Survey (NHANES) and discovered that both low blood concentrations of Cd and Pb were positively correlated with increased prevalence of CVD and subtypes, with a stronger association for blood Cd than Pb. Negative dose-response relationships between PA and the prevalence of CVD and subtypes were identified. Participants with inactive and active PA had lower risk of CVD than those having no PA, with multivariate adjusted ORs 0.8 (95% CI: 0.69, 0.94) and 0.76 (95% CI: 0.68, 0.85), respectively. The only evidence for negative interaction between regular PA and blood Cd concentrations was found with regard to the prevalence of CVD and subtypes, indicating that regular PA could well modify the adverse effect of blood Cd on CVD risk. We demonstrate for the first time to date that PA may have a beneficial effect against the hazardous impact of Cd exposure on elevated CVD risk, emphasizing the necessity to promote a healthy lifestyle with active PA.