A study on the correlation between physical fitness index and executive function in Chinese adolescents.

OBJECTIVE: To explore the relationship between physical fitness index and executive function in Chinese adolescents, and to provide a reference for improving the development of executive function in Chinese adolescents. METHODS: From September to December 2023, 5336 adolescents aged 13 to 18 years were selected by stratified whole cluster random sampling method in six regions of China for physical fitness and executive function tests. The relationship between adolescent physical fitness index and executive function was analyzed using t-test, ANOVA, Pearson's correlation, and logistic regression. RESULTS: The correlation coefficients between adolescents' physical fitness index and inhibitory control reaction time were all 0.00094, p > 0.05; the correlation coefficients between adolescents' physical fitness index and working memory (1-back, 2-back) reaction time were -0.13 and -0.093, respectively, p < .05; the correlation coefficients between adolescents' physical fitness index and cognitive flexibility reaction time were -0.17 and -0.18, p < .05. Logistic regression analyses showed that 1-back, 2-back, and cognitive flexibility were significantly and positively correlated with physical fitness index in Models 1, 2, and 3 (all p values less than.01). The coefficients of inhibitory control were not significant in all three models (p > .05), and there was no significant relationship with physical fitness index. CONCLUSION: The physical fitness index of Chinese adolescents has a significant positive correlation with working memory and cognitive flexibility, but not with inhibitory control, i.e. the higher the physical fitness index, the better the working memory and cognitive flexibility.

DMF-DM-seq: Digital-Microfluidics Enabled Dual-Modality Sequencing of Single-Cell mRNA and microRNA with High Integration, Sensitivity, and Automation.

Multimodal measurement of single cells provides deep insights into the intricate relationships between individual molecular layers and the regulatory mechanisms underlying intercellular variations. Here, we reported DMF-DM-seq, a highly integrated, sensitive, and automated platform for single-cell mRNA and microRNA (miRNA) co-sequencing based on digital microfluidics. This platform first integrates the processes of single-cell isolation, lysis, component separation, and simultaneous sequencing library preparation of mRNA and miRNA within a single DMF device. Compared with the current half-cell measuring strategy, DMF-DM-seq enables complete separation of single-cell mRNA and miRNA via a magnetic field application, resulting in a higher miRNA detection ability. DMF-DM-seq revealed differential expression patterns of single cells of noncancerous breast cells and noninvasive and aggressive breast cancer cells at both mRNA and miRNA levels. The results demonstrated the anticorrelated relationship between miRNA and their mRNA targets. Further, we unravel the tumor growth and metastasis-associated biological processes enriched by miRNA-targeted genes, along with important miRNA-interaction networks involved in significant signaling pathways. We also deconstruct the miRNA regulatory mechanisms underlying different signaling pathways across different breast cell types. In summary, DMF-DM-seq offers a powerful tool for a comprehensive study of the expression heterogeneity of single-cell mRNA and miRNA, which will be widely applied in basic and clinical research.

Broad Spectral Response FeOOH/BiO2-x Photocatalyst with Efficient Charge Transfer for Enhanced Photo-Fenton Synergistic Catalytic Activity.

In this work, to promote the separation of photogenerated carriers, prevent the catalyst from photo-corrosion, and improve the photo-Fenton synergistic degradation of organic pollutants, the coating structure of FeOOH/BiO2-x rich in oxygen vacancies was successfully synthesized by a facile and environmentally friendly two-step process of hydrothermal and chemical deposition. Through a series of degradation activity tests of synthesized materials under different conditions, it was found that FeOOH/BiO2-x demonstrated outstanding organic pollutant degradation activity under visible and near-infrared light when hydrogen peroxide was added. After 90 min of reaction under photo-Fenton conditions, the degradation rate of Methylene Blue by FeOOH/BiO2-x was 87.4%, significantly higher than the degradation efficiency under photocatalysis (60.3%) and Fenton (49.0%) conditions. The apparent rate constants of FeOOH/BiO2-x under photo-Fenton conditions were 2.33 times and 3.32 times higher than photocatalysis and Fenton catalysis, respectively. The amorphous FeOOH was tightly coated on the layered BiO2-x, which significantly increased the specific surface area and the number of active sites of the composites, and facilitated the improvement of the separation efficiency of the photogenerated carriers and the prevention of photo-corrosion of BiO2-x. The analysis of the mechanism of photo-Fenton synergistic degradation clarified that ·OH, h+, and ·O2- are the main active substances involved in the degradation of pollutants. The optimal degradation conditions were the addition of the FeOOH/BiO2-x composite catalyst loaded with 20% Fe at a concentration of 0.5 g/L, the addition of hydrogen peroxide at a concentration of 8 mM, and an initial pH of 4. This outstanding catalytic system offers a fresh approach to the creation and processing of iron-based photo-Fenton catalysts by quickly and efficiently degrading various organic contaminants.

Highly Multiplexed, Efficient, and Automated Single-Cell MicroRNA Sequencing with Digital Microfluidics.

Single-cell microRNA (miRNA) sequencing has allowed for comprehensively studying the abundance and complex networks of miRNAs, which provides insights beyond single-cell heterogeneity into the dynamic regulation of cellular events. Current benchtop-based technologies for single-cell miRNA sequencing are low throughput, limited reaction efficiency, tedious manual operations, and high reagent costs. Here, a highly multiplexed, efficient, integrated, and automated sample preparation platform is introduced for single-cell miRNA sequencing based on digital microfluidics (DMF), named Hiper-seq. The platform integrates major steps and automates the iterative operations of miRNA sequencing library construction by digital control of addressable droplets on the DMF chip. Based on the design of hydrophilic micro-structures and the capability of handling droplets of DMF, multiple single cells can be selectively isolated and subject to sample processing in a highly parallel way, thus increasing the throughput and efficiency for single-cell miRNA measurement. The nanoliter reaction volume of this platform enables a much higher miRNA detection ability and lower reagent cost compared to benchtop methods. It is further applied Hiper-seq to explore miRNAs involved in the ossification of mouse skeletal stem cells after bone fracture and discovered unreported miRNAs that regulate bone repairing.

Analysis of the characteristics and related factors of executive function in adolescents / 中国学校卫生

Objective@#To explore the characteristics and related factors of adolescent executive function, so as to provide theoretical basis for promoting the development of adolescent executive function.@*Methods@#A total of 5 018 adolescents aged 13-18 from Shanghai, Suzhou, Taiyuan, Wuyuan, Xingyi and Urumqi were selected by convenient cluster random sampling method from September to December 2022, and their basic information, family status, lifestyle behavior, physical fitness and executive function were investigated by questionnaire survey. Considering the heterogeneity between schools, a multilevel Logistic model was established to analyze the related factors of adolescent executive function.@*Results@#The inhibitory function of high school students was better than that of middle school students (Z=-2.69). In terms of refreshment function, high school students were superior than middle school students (1-back:Z=-11.32; 2-back:Z=-11.36), and male students were superior than female students (2-back:Z=-2.18); in terms of shifting function, high school students were superior than middle school students (Z=-2.63), and boys were superior than girls (Z=-7.10)(P<0.05). The results of multilevel model analysis showed that the executive function of adolescents was clustered at the school level. At the individual level, junior high school refreshment function (1-back:β=56.94; 2-back:β=127.00), and shifting function (β=35.64) were worse than that of high school students; the refreshment function 2-back (β=-21.24) and shifting function (β=-28.42) of male students were better than those of female students; the refreshment function 2-back of nononly child was better than that of only child (β=-19.36); refreshment function of low fitness was worse than that of high fitness (β=37.35); the shifting function of the video screen time not up to standard was better than that of the standard (β=-14.30)(P<0.05).@*Conclusions@#The executive function of high school students is better than that of middle school students, the refreshment function and shifting function of boys are better than that of girls. Family environment, lifestyle and physical health are significant factors related to executive function of Chinese adolescents. By raising awareness of the major supporting and impeding factors for executive functioning in adolescents, it can help to develop effective intervention programs for adolescents.

Executive functions of obese adolescents / 中国学校卫生

Objective@#To explore of executive function in obese adolescents, so as to provide a reference for executive function enhancement intervention in obese adolescents.@*Methods@#A convenience sample of 1 227 adolescents aged 13-18 years was selected from 2 secondary schools in Taiyuan City during March-April 2023. The Flanker task, N-back task and More odd shifting task was used to compare the different subfunctions of executive function (refreshing function, shifting function, inhibiting function) of 61 obese adolescents and 70 normal weight adolescents. Independent samples t-tests was used for between group comparisons and Cohen s d -tests was used to calculate between group differences in executive function between the two groups of adolescents.@*Results@#Compared with the group of normal weight, time responses of the inhibitory function [(29.73±19.55)ms], the refreshing function [1-back: (1 088.75±275.76)ms, 2-back:( 1 285.44± 355.16)ms] and the shifting function [(380.34±153.18) ms] in the obese group were significantly longer than those in the normal weight group [(14.86±20.27, 888.38±286.57, 1 126.20± 287.43 , 323.12±134.71) ms] ( t =4.26, 4.06, 1.92,2.26, P < 0.05 ); inhibitory function (0.91±0.09) and 1-back (0.73±0.24) were also significantly less correct than in the normal weight group (0.94±0.05, 0.83±0.21) ( t =-2.04, -2.04, P <0.05). Obese adolescents showed moderate adverse effect sizes in the inhibition function ( d =0.746,0.712) and the refresh function 1-back, and smaller adverse effect sizes in the refresh function 2-back and the conversion function( d =0.497,0.398).@*Conclusion@#Obese adolescents have significant executive function deficits, but the degree of adverse varies across sub-functions, with inhibitory function being the core deficit component of executive function in obese adolescents.

Relationship between cardiorespiratory fitness and executive function in adolescents / 中国学校卫生

Objective@#To explore the relationship between cardiorespiratory fitness and executive function in Chinese adolescents, so as to provide a reference for promoting the overall development of Chinese adolescents physical and mental health.@*Methods@#From September to December 2022, a total of 5 018 adolescents aged 13 to 18 years from Shanghai, Suzhou, Taiyuan, Wuyuan, Xingyi, and Urumqi were selected by stratified cluster sampling method to assess cardiorespiratory fitness and executive function. Pearson s correlation and linear hierarchical regression were performed to analyze the relationship between cardiorespiratory fitness and executive functions.@*Results@#Among the sample of adolescents, maximal oxygen consumption (VO 2max ) was negatively correlated with the refreshing(1-back, 2-back) and conversion executive function responses ( r=-0.07, -0.12, -0.12, P <0.01). Linear regression analysis showed that VO 2max was negatively correlated with the reaction times of the refreshing(1-back, 2-back) and conversion functions ( B=-2.99, -6.44, -1.69, P <0.01).@*Conclusions@#Higher cardiorespiratory fitness among adolescents is associated with better performance in executive function. Teenagers should strengthen high intensity cardiopulmonary endurance exercise to promote the improvement of executive function.

Factors influencing the development of executive function in adolescents / 中国学校卫生

Abstract@#Executive function is an advanced cognitive process aimed at the flexible coordination, optimization, and control of the cognitive processes of task solving in order to accomplish a specific task, ensuring that the individual produces effective behaviors, including inhibitory control, working memory, and cognitive flexibility. Given the sensitivities and specificities that characterize an individual s physical and mental development during adolescence, this period is critical for the development of executive function in adolescents. In the paper, the influencing factors of adolescents executive function development are systematically described from three dimensions, namely, biology, environment and lifestyle; by analyzing the mechanisms and differences in the effects of different influencing factors, this editorial provides a scientific basis for adolescents executive function improvement and intervention.

mitoSplitter: A mitochondrial variants-based method for efficient demultiplexing of pooled single-cell RNA-seq.

Single-cell RNA-seq (scRNA-seq) analysis of multiple samples separately can be costly and lead to batch effects. Exogenous barcodes or genome-wide RNA mutations can be used to demultiplex pooled scRNA-seq data, but they are experimentally or computationally challenging and limited in scope. Mitochondrial genomes are small but diverse, providing concise genotype information. We developed "mitoSplitter," an algorithm that demultiplexes samples using mitochondrial RNA (mtRNA) variants, and demonstrated that mtRNA variants can be used to demultiplex large-scale scRNA-seq data. Using affordable computational resources, mitoSplitter can accurately analyze 10 samples and 60,000 cells in 6 h. To avoid the batch effects from separated experiments, we applied mitoSplitter to analyze the responses of five non-small cell lung cancer cell lines to BET (Bromodomain and extraterminal) chemical degradation in a multiplexed fashion. We found the synthetic lethality of TOP2A inhibition and BET chemical degradation in BET inhibitor-resistant cells. The result indicates that mitoSplitter can accelerate the application of scRNA-seq assays in biomedical research.

Well-TEMP-seq as a microwell-based strategy for massively parallel profiling of single-cell temporal RNA dynamics.

Single-cell RNA sequencing (scRNA-seq) reveals the transcriptional heterogeneity of cells, but the static snapshots fail to reveal the time-resolved dynamics of transcription. Herein, we develop Well-TEMP-seq, a high-throughput, cost-effective, accurate, and efficient method for massively parallel profiling the temporal dynamics of single-cell gene expression. Well-TEMP-seq combines metabolic RNA labeling with scRNA-seq method Well-paired-seq to distinguish newly transcribed RNAs marked by T-to-C substitutions from pre-existing RNAs in each of thousands of single cells. The Well-paired-seq chip ensures a high single cell/barcoded bead pairing rate (~80%) and the improved alkylation chemistry on beads greatly alleviates chemical conversion-induced cell loss (~67.5% recovery). We further apply Well-TEMP-seq to profile the transcriptional dynamics of colorectal cancer cells exposed to 5-AZA-CdR, a DNA-demethylating drug. Well-TEMP-seq unbiasedly captures the RNA dynamics and outperforms the splicing-based RNA velocity method. We anticipate that Well-TEMP-seq will be broadly applicable to unveil the dynamics of single-cell gene expression in diverse biological processes.

Deconvolution algorithms for inference of the cell-type composition of the spatial transcriptome.

The spatial transcriptome has enabled researchers to resolve transcriptome expression profiles while preserving information about cell location to better understand the complex biological processes that occur in organisms. Due to technical limitations, the current high-throughput spatial transcriptome sequencing methods (known as next-generation sequencing with spatial barcoding methods or spot-based methods) cannot achieve single-cell resolution. A single measurement site, called a spot, in these technologies frequently contains multiple cells of various types. Computational tools for determining the cellular composition of a spot have emerged as a way to break through these limitations. These tools are known as deconvolution tools. Recently, a couple of deconvolution tools based on different strategies have been developed and have shown promise in different aspects. The resulting single-cell resolution expression profiles and/or single-cell composition of spots will significantly affect downstream data mining; thus, it is crucial to choose a suitable deconvolution tool. In this review, we present a list of currently available tools for spatial transcriptome deconvolution, categorize them based on the strategies they employ, and explain their advantages and limitations in detail in order to guide the selection of these tools in future studies.

Correlation between physical fitness condition and depressive symptoms in adolescents / 中国学校卫生

Objective@#To explore the relationship between adolescents physical fitness and depressive symptoms, and to provide reference for the early prevention and intervention of depressive symptoms and improvement of physical fitness in Chinese adolescents.@*Methods@#From September to December 2021, a total of 8 102 adolescents were selected by random cluster sampling method in Shanghai, Urumqi, Changsha and Kunming. The Center for Epidemiologic Studies Depression Scale(CES-D) was used to investigate the depressive symptoms, and completed grip strength, standing long jump, 50 m running, modified sitting forward flexion, 20 s repeated traverse, 30 s sit ups, 20 m round trip running (20 m SRT) test. χ 2 test, Goodman Kruskal Gamma and Logistic regression analysis were used to analyze the relationship between physical fitness index(PFI) and depressive symptoms.@*Results@#The overall detection rate of depressive symptoms in adolescents with high level PFI was 23.4%, and the detection rate of low level adolescents was 26.3%, with a statistically significant difference ( χ 2=6.73, P =0.01). There was a significant positive correlation between PFI and depressive symptoms in the high school group ( G=0.09, P <0.05) and the boy group ( G=0.12, P < 0.05 ), and there was no significant association between PFI and depressive symptoms in the junior high school group and the girl group ( P >0.05). After adjusting for gender and age in the Logistic regression model, compared with those with high PFI, the risk of depressive symptoms in those with low PFI was 1.18 times (95% CI =1.05-1.33).@*Conclusion@#There is a correlation between physical fitness and depressive symptoms in adolescents. Adolescents with low PFI are at higher risk of developing depressive symptoms than those with high PFI.

Research progress on influencing factors of depressive symptoms in adolescents / 中国学校卫生

Abstract@#In recent years, mental health problems such as anxiety and depression among adolescents in China have attracted attention from all walks of life. Given that adolescence is a transitional and critical period for individual development, mental health affect the developmental opportunities. Therefore, in the review, the effects of environment, psychosocial factors and behavioral patterns on depressive symptoms are analyzed by combining with the characteristics of physical and mental development among adolescents. It is found that early adolescence and even childhood should be the key period for the prevention and intervention of depression. In order to formulate effective interventions and prevention strategies, it is proposed that future research should combine real situation in China with active exploration of protective factors and early predictors of depression.

Deep transfer learning enables lesion tracing of circulating tumor cells.

Liquid biopsy offers great promise for noninvasive cancer diagnostics, while the lack of adequate target characterization and analysis hinders its wide application. Single-cell RNA sequencing (scRNA-seq) is a powerful technology for cell characterization. Integrating scRNA-seq into a CTC-focused liquid biopsy study can perhaps classify CTCs by their original lesions. However, the lack of CTC scRNA-seq data accumulation and prior knowledge hinders further development. Therefore, we design CTC-Tracer, a transfer learning-based algorithm, to correct the distributional shift between primary cancer cells and CTCs to transfer lesion labels from the primary cancer cell atlas to CTCs. The robustness and accuracy of CTC-Tracer are validated by 8 individual standard datasets. We apply CTC-Tracer on a complex dataset consisting of RNA-seq profiles of single CTCs, CTC clusters from a BRCA patient, and two xenografts, and demonstrate that CTC-Tracer has potential in knowledge transfer between different types of RNA-seq data of lesions and CTCs.

Synergetic collision and space separation in microfluidic chip for efficient affinity-discriminated molecular selection.

Efficient molecular selection is a prerequisite for generating molecular tools used in diagnosis, pathology, vaccinology, and therapeutics. Selection efficiency is thermodynamically highly dependent on the dissociation equilibrium that can be reached in a single round. Extreme shifting of equilibrium towards dissociation favors the retention of high-affinity ligands over those with lower affinity, thus improving the selection efficiency. We propose to synergize dual effects by deterministic lateral-displacement microfluidics, including the collision-based force effect and the two-dimensional (2D) separation-based concentration effect, to greatly shift the equilibrium. Compared with previous approaches, this system can remove more low- or moderate-affinity ligands and maintain most high-affinity ligands, thereby improving affinity discrimination in selection. This strategy is demonstrated on phage display in both experiment and simulation, and two peptides against tumor markers ephrin type-A receptor 2 (EphA2) and CD71 were obtained with high affinity and specificity within a single round of selection, which offers a promising direction for discovery of robust binding ligands for a wide range of biomedical applications.

Seroprevalence of neutralizing antibodies against adenovirus type 26 and 35 in healthy populations from Guangdong and Shandong provinces, China.

Human adenoviruses type 26 (HAdV26) and type 35 (HAdV35) have increasingly become the choice of adenovirus vectors for vaccine application. However, the population pre-existing immunity to these two adenoviruses in China, which may reduce vaccine efficacy, remains largely unknown. Here, we established micro-neutralizing (MN) assays to investigate the seroprevalence of neutralizing antibodies (nAbs) against HAdV26 and HAdV35 in the general population of Guangdong and Shandong provinces, China. A total of 1184 serum samples were collected, 47.0% and 15.8% of which showed HAdV26 and HAdV35 nAb activity, respectively. HAdV26-seropositive individuals tended to have more moderate nAbs titers (201-1000), while HAdV35-seropositive individuals appeared to have more low nAbs titers (72-200). The seropositive rates of HAdV26 and HAdV35 in individuals younger than 20 years old were very low. The seropositive rates of HAdV26 increased with age before 70 years old and decreased thereafter, while HAdV35 seropositive rates did not show similar characteristics. Notably, the seropositive rates and nAb levels of both HAdV26 and HAdV35 were higher in Guangdong Province than in Shandong Province, but did not exert significant differences between males and females. The seroprevalence between HAdV26 and HAdV35 showed little correlation, and no significant cross-neutralizing activity was detected. These results clarified the characteristics of the herd immunity against HAdV26 and HAdV35, and provided information for the rational development and application of HAdV26 and HAdV35 as vaccine vectors in China.

LINEAGE: Label-free identification of endogenous informative single-cell mitochondrial RNA mutation for lineage analysis.

Single-cell RNA-sequencing (scRNA-seq) has become a powerful tool for biomedical research by providing a variety of valuable information with the advancement of computational tools. Lineage analysis based on scRNA-seq provides key insights into the fate of individual cells in various systems. However, such analysis is limited by several technical challenges. On top of the considerable computational expertise and resources, these analyses also require specific types of matching data such as exogenous barcode information or bulk assay for transposase-accessible chromatin with high throughput sequencing (ATAC-seq) data. To overcome these technical challenges, we developed a user-friendly computational algorithm called "LINEAGE" (label-free identification of endogenous informative single-cell mitochondrial RNA mutation for lineage analysis). Aiming to screen out endogenous markers of lineage located on mitochondrial reads from label-free scRNA-seq data to conduct lineage inference, LINEAGE integrates a marker selection strategy by feature subspace separation and de novo "low cross-entropy subspaces" identification. In this process, the mutation type and subspace-subspace "cross-entropy" of features were both taken into consideration. LINEAGE outperformed three other methods, which were designed for similar tasks as testified with two standard datasets in terms of biological accuracy and computational efficiency. Applied on a label-free scRNA-seq dataset of BRAF-mutated cancer cells, LINEAGE also revealed genes that contribute to BRAF inhibitor resistance. LINEAGE removes most of the technical hurdles of lineage analysis, which will remarkably accelerate the discovery of the important genes or cell-lineage clusters from scRNA-seq data.

Identification of mutations in porcine STAT5A that contributes to the transcription of CISH.

Identification of causative genes or genetic variants associated with phenotype traits benefits the genetic improvement of animals. CISH plays a role in immunity and growth, however, the upstream transcriptional factors of porcine CISH and the genetic variations in these factors remain unclear. In this study, we firstly identified the minimal core promoter of porcine CISH and confirmed the existence of STATx binding sites. Overexpression and RT-qPCR demonstrated STAT5A increased CISH transcriptional activity (P < 0.01) and mRNA expression (P < 0.01), while GATA1 inhibited CISH transcriptional activity (P < 0.01) and the following mRNA expression (P < 0.05 or P < 0.01). Then, the putative functional genetic variations of porcine STAT5A were screened and a PCR-SSCP was established for genotype g.508A>C and g.566C>T. Population genetic analysis showed the A allele frequency of g.508A>C and C allele frequency of g.566C>T was 0.61 and 0.94 in Min pigs, respectively, while these two alleles were fixed in the Landrace population. Statistical analysis showed that Min piglets with CC genotype at g.566C>T or Hap1: AC had higher 28-day body weight, 35-day body weight, and ADG than TC or Hap3: CT animals (P < 0.05, P < 0.05). Further luciferase activity assay demonstrated that the activity of g.508A>C in the C allele was lower than the A allele (P < 0.05). Collectively, the present study demonstrated that STAT5A positively regulated porcine CISH transcription, and SNP g.566C>T in the STAT5A was associated with the Min piglet growth trait.

LINT-Web: A Web-Based Lipidomic Data Mining Tool Using Intra-Omic Integrative Correlation Strategy.

Lipidomics is a younger member of the "omics" family. It aims to profile lipidome alterations occurring in biological systems. Similar to the other "omics", lipidomic data is highly dimensional and contains a massive amount of information awaiting deciphering and data mining. Currently, the available bioinformatic tools targeting lipidomic data processing and lipid pathway analysis are limited. A few tools designed for lipidomic analysis perform only basic statistical analyses, and lipid pathway analyses rely heavily on public databases (KEGG, Reactome, and HMDB). Due to the inadequate understanding of lipid signaling and metabolism, the use of public databases for lipid pathway analysis can be biased and misleading. Instead of using public databases to interpret lipidomic ontology, the authors introduce an intra-omic integrative correlation strategy for lipidomic data mining. Such an intra-omic strategy allows researchers to unscramble and predict lipid biological functions from correlated genomic ontological results using statistical approaches. To simplify and improve the lipidomic data processing experience, they designed an interactive web-based tool: LINT-web (http://www.lintwebomics.info/) to perform the intra-omic analysis strategy, and validated the functions of LINT-web using two biological systems. Users without sophisticated statistical experience can easily process lipidomic datasets and predict the potential lipid biological functions using LINT-web.

Sensitive, Rapid, and Automated Detection of DNA Methylation Based on Digital Microfluidics.

Biomarkers based on DNA methylation have attracted wide attention in biomedical research due to their potential clinical value. Therefore, a sensitive and accurate method for DNA methylation detection is highly desirable for the discovery and diagnostics of human diseases, especially cancers. Here, an integrated, low-cost, and portable point-of-care (POC) device is presented to analyze DNA methylation, which integrates the process of pyrosequencing in a digital microfluidic chip. Without additional equipment and complicated operation, droplets are manipulated by patterned electrodes with individually programmed control. The system exhibited an excellent sensitivity with a limit of detection (LOD) of 10 pg and a comparable checkout down to 5% methylation level within 30 min, which offered a potential substitute for the detection of DNA methylation. With the advantages of portability, ease of use, high accuracy, and low cost, the POC platform shows great potential for the analysis of tumor-specific circulating DNA.