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Abstract Background Support vector machines (SVMs) based on brain-wise functional connectivity (FC) have been widely adopted for single-subject prediction of patients with schizophrenia, but most of them had small sample size. This study aimed to evaluate the performance of SVMs based on a large single-site dataset and investigate the effects of demographic homogeneity and training sample size on classification accuracy. Methods The resting functional Magnetic Resonance Imaging (fMRI) dataset comprised 220 patients with schizophrenia and 220 healthy controls. Brain-wise FCs was calculated for each participant and linear SVMs were developed for automatic classification of patients and controls. First, we evaluated the SVMs based on all participants and homogeneous subsamples of men, women, younger (18–30 years), and older (31–50 years) participants by 10-fold nested cross-validation. Then, we hold out a fixed test set of 40 participants (20 patients and 20 controls) and evaluated the SVMs based on incremental training sample sizes (N = 40, 80, …, 400). Results We found that the SVMs based on all participants had accuracy of 85.05%. The SVMs based on male, female, young, and older participants yielded accuracy of 84.66, 81.56, 80.50, and 86.13%, respectively. Although the SVMs based on older subsamples had better performance than those based on all participants, they generalized poorly to younger participants (77.24%). For incremental training sizes, the classification accuracy increased stepwise from 72.6 to 83.3%, with >80% accuracy achieved with sample size >240. Conclusions The findings indicate that SVMs based on a large dataset yield high classification accuracy and establish models using a large sample size with heterogeneous properties are recommended for single subject prediction of schizophrenia.

Post-traumatic stress disorder (PTSD) is a complex syndrome that is defined by individual exposed to intense, life-threatening trauma thereby leading to physical and psychological abnormalities. They further develop additional symptoms including persistent anxiety, exaggerated startle, cognitive impairments, and diminished extinction of fear. Most of the previous studies focused on brain and neurophysiology, but PTSD affects the whole body. Therefore, we wanted to concentrate more on the effects on sex hormones using rats. Testosterone and estradiol are major sex hormones in male and female which are well known to participate in not only reproduction but also brain function and behaviors. Two behavioral tests, open field test and tail suspension test, were used to determine whether animals have PTSD-like symptoms. At the same time, serum samples were collected for sex hormone analysis. We investigated the influences of traumatic stress and then tried to find out the correlations of behaviors and hormones. In results, 22% of rats were affected by stress based on the behavioral tests and grouped as PTSD-like. These rats showed enhanced anxiety and depression behaviors. In serum samples from the PTSD-like group, only estradiol levels in male after stress are significant higher than the control or stressed but no symptom groups. Testosterone level showed no difference after stress both in male and female. We also observed that only estradiol level in male correlates with PTSD-like behaviors. It indicates that estradiol levels in male just after traumatic stress might be an indicator for PTSD-like symptoms.

Recent technical advancements in neural engineering allow for precise recording and control of neural circuits simultaneously, opening up new opportunities for closed-loop neural control. In this work, a rapid spike sorting system was developed based on template matching to rapidly calculate instantaneous firing rates for each neuron in a multi-unit extracellular recording setting. Cluster templates were first generated by a desktop computer using a non-parameter spike sorting algorithm (Super-paramagnetic clustering) and then transferred to a field-programmable gate array digital circuit for rapid sorting through template matching. Two different matching techniques-Euclidean distance (ED) and correlational matching (CM)-were compared for the accuracy of sorting and the performance of calculating firing rates. The performance of the system was first verified using publicly available artificial data and was further confirmed with pre-recorded neural spikes from an anesthetized Mongolian gerbil. Real-time recording and sorting from an awake mouse were also conducted to confirm the system performance in a typical behavioral neuroscience experimental setting. Experimental results indicated that high sorting accuracies were achieved for both template-matching methods, but CM can better handle spikes with non-Gaussian spike distributions, making it more robust for in vivo recording. The technique was also compared to several other off-line spike sorting algorithms and the results indicated that the sorting accuracy is comparable but sorting time is significantly shorter than these other techniques. A low sorting latency of under 2 ms and a maximum spike sorting rate of 941 spikes/second have been achieved with our hybrid hardware/software system. The low sorting latency and fast sorting rate allow future system developments of neural circuit modulation through analyzing neural activities in real-time.

In the context of continued spread of coronavirus disease 2019 (COVID-19) caused by SARS-CoV-2 and the emergence of new variants, the demand for rapid, accurate, and frequent detection is increasing. Moreover, the new predominant strain, Omicron variant, manifests more similar clinical features to those of other common respiratory infections. The concurrent detection of multiple potential pathogens helps distinguish SARS-CoV-2 infection from other diseases with overlapping symptoms, which is significant for providing tailored treatment to patients and containing the outbreak. Here, we report a lab-on-a-chip biosensing platform for SARS-CoV-2 detection based on the subwavelength grating micro-ring resonator. The sensing surface is functionalized by specific antibody against SARS-CoV-2 spike protein, which could produce redshifts of resonant peaks by antigen–antibody combination, thus achieving quantitative detection. Additionally, the sensor chip is integrated with a microfluidic chip featuring an anti-backflow Y-shaped structure that enables the concurrent detection of two analytes. In this study, we realized the detection and differentiation of COVID-19 and influenza A H1N1. Experimental results indicate that the limit of detection of our device reaches 100 fg/ml (1.31 fM) within 15 min detecting time, and cross-reactivity tests manifest the specificity of the optical diagnostic assay. Furthermore, the integrated packaging and streamlined workflow facilitate its use for clinical applications. Thus, the biosensing platform presents a promising approach for attaining highly sensitive, selective, multiplexed, and quantitative point-of-care diagnosis and distinction between COVID-19 and influenza. [ABSTRACT FROM AUTHOR]

Researchers in the field of tissue engineering are always searching for new scaffolds for bone repair. Polyetheretherketone (PEEK) is a chemically inert polymer that is insoluble in conventional solvents. PEEK's great potential in tissue engineering applications arises from its ability to not induce adverse reactions when in contact with biological tissues and its mechanical properties, which are similar to those of human bone. These exceptional features are limited by the bio-inertness of PEEK, which causes poor osteogenesis on the implant surface. Here, we demonstrated that the covalent grafting of the sequence (48–69) mapped on the BMP-2 growth factor (GBMP1α) significantly enhances the mineralization and gene expression of human osteoblasts. Different chemical methods were employed for covalently grafting the peptide onto 3D-printed PEEK disks: (a) the reaction between PEEK carbonyls and amino-oxy groups inserted in the peptides' N-terminal sites (oxime chemistry) and (b) the photoactivation of azido groups present in the peptides' N-terminal sites, which produces nitrene radicals able to react with PEEK surface. The peptide-induced PEEK surface modification was assessed using X-ray photoelectron measurements, while the superficial properties of the functionalized material were analyzed by means of atomic force microscopy and force spectroscopy. Live and dead assays and SEM measurements showed greater cell cover on functionalized samples than the control, without any cytotoxicity induction. Moreover, functionalization improved the rate of cell proliferation and the amount of calcium deposits, as demonstrated by the AlamarBlue™ and alizarin red results, respectively. The effects of GBMP1α on h-osteoblast gene expression were assayed using quantitative real-time polymerase chain reaction. [ABSTRACT FROM AUTHOR]

In vitro culture of single cells facilitates biological studies by deconvoluting complications from cell population heterogeneity. However, there is still a lack of simple yet high-throughput methods to perform single cell culture experiments. In this paper, we report the development and application of a microfluidic device with a dual-well (DW) design concept for high-yield single-cell loading (~77%) in large microwells (285 and 485 μm in diameter) which allowed for cell spreading, proliferation and differentiation. The increased single-cell loading yield is achieved by using sets of small microwells termed “capture-wells” and big microwells termed “culture-wells” according to their utilities for single-cell capture and culture, respectively. This novel device architecture allows the size of the “culture” microwells to be flexibly adjusted without affecting the single-cell loading efficiency making it useful for cell culture applications as demonstrated by our experiments of KT98 mouse neural stem cell differentiation, A549 and MDA-MB-435 cancer cell proliferation, and single-cell colony formation assay with A549 cells in this paper. [ABSTRACT FROM AUTHOR]

Glass micropipettes are widely used to record neural activity from single neurons or clusters of neurons extracellularly in live animals. However, to date, there has been no comprehensive study of noise in extracellular recordings with glass micropipettes. The purpose of this work was to assess various noise sources that affect extracellular recordings and to create model systems in which novel micropipette neural amplifier designs can be tested. An equivalent circuit of the glass micropipette and the noisemodel of this circuit, which accurately describe the various noise sources involved in extracellular recordings, have been developed. Measurement schemes using dead brain tissue as well as extracellular recordings fromneurons in the inferior colliculus, an auditory brain nucleus of an anesthetized gerbil, were used to characterize noise performance and amplification efficacy of the proposed micropipette neural amplifier. According to our model, the major noise sources which influence the signal to noise ratio are the intrinsic noise of the neural amplifier and the thermal noise from distributed pipette resistance. These two types of noise were calculated and measured and were shown to be the dominating sources of background noise for in vivo experiments. [ABSTRACT FROM AUTHOR]

Objectives Environmental exposure at home, such as dampness, has been shown to have adverse effects on respiratory health. However, few studies explored the association between home dampness and genetic polymorphisms on childhood asthma. The aim of the study is to evaluate the effects of home dampness and tumour necrosis factor-a gene (TNF-α) on asthma in Taiwanese children. Methods The authors investigated 3810 schoolchildren in Taiwan Children Health Study from 14 communities. Children's exposure and disease status were measured from a parental questionnaire. Multiple logistic regression models were fitted to estimate the effects of home dampness exposure and TNF-α genotypes on the prevalence of asthma and wheeze. Results Mildewy odour at home was significantly associated with increased prevalence of lifetime wheeze (OR=1.36, 95% CI 1.05 to 1.77, p for trend=0.04). The effects of water stamp on the wall at home were associated with lifetime asthma and lifetime wheeze. Children with water stamp on the wall at home and TNF-308 A allele had increased risks on lifetime asthma, active asthma and lifetime wheeze. TNF-α showed significant interactive effects with mildewy odour on lifetime asthma (p for interaction=0.01), and with water stamp on the wall at home on lifetime wheeze (p for interaction=0.04). Under stratification by TNF-308 genotypes, we found that the frequency of water stamp on the wall was associated with increased risks of all asthma subcategories and lifetime wheeze among TNF-308 GA or AA genotypes (p for trend<0.05). Conclusions Home dampness is a risk factor for asthma and wheeze among children, especially for those with the TNF-308 A allele. [ABSTRACT FROM AUTHOR]

Single-cell cloning (SCC) is a critical step in generating monoclonal cell lines, which are widely used as in vitro models and for producing proteins with high reproducibility for research and the production of therapeutic drugs. In monoclonal cell line generation, the development time can be shortened by validating the monoclonality of the cloned cells. However, the validation process currently requires specialized equipment that is not readily available in general biology laboratories. Here, we report a disposable SCC device, in which single cells can be isolated, validated, and expanded to form monoclonal cell colonies using conventional micropipettes and microscopes. The monoclonal cells can be selectively transferred from the SCC chip to conventional culture plates, using a tissue puncher. Using the device, we demonstrated that monoclonal colonies of actin-GFP (green fluorescent protein) plasmid-transfected A549 cells could be formed in the device within nine days and subsequently transferred to wells in plates for further expansion. This approach offers a cost-effective alternative to the use of specialized equipment for monoclonal cell generation. [ABSTRACT FROM AUTHOR]

In vitro testing of drug compounds on cell models during the drug development process represents an indispensable step in the initial screening process. Although drug testing on three-dimensional (3D) cultured cells may provide a more accurate prediction of drug efficacy, it is relatively costly and time-consuming to perform compared with conventional 2D cultures due to the thick z-axis of the 3D models. In this study, we have presented a microfluidic platform with integrated pneumatic valves for producing a thin-gel 3D cell culture-based combinatorial drug screening array (3D-μCDS array). The multilayer architecture and microfluidic layout has a smaller device footprint than a single-layer microfluidic channel arrangement, making it well suited to scaling up for high-throughput combinatorial drug screening on 3D cell model. We performed 8 × 8 combination drug screening experiments with the device using two anti-cancer drugs (doxorubicin and paclitaxel) on MDA-MB-231 and MCF-7 breast cancer cell lines for demonstration. Our results indicate that our 3D-μCDS array device allows the successful screening of multiple drug combinations while reducing the operation time and the number of sample/reagents required, making it an ideal tool for general combinatorial drug screening, as well as for applications using valuable tissues and clinical samples.

Studying the heterogeneity of single cells is crucial for many biological questions, but is technically difficult. Thus, there is a need for a simple, yet high-throughput, method to perform single-cell culture experiments. Here, we report a microfluidic chip-based strategy for high-efficiency single-cell isolation (~77%) and demonstrate its capability of performing long-term single-cell culture (up to 7 d) and cellular heterogeneity analysis using clonogenic assay. These applications were demonstrated with KT98 mouse neural stem cells, and A549 and MDA-MB-435 human cancer cells. High single-cell isolation efficiency and long-term culture capability are achieved by using different sizes of microwells on the top and bottom of the microfluidic channel. The small microwell array is designed for precisely isolating single-cells, and the large microwell array is used for single-cell clonal culture in the microfluidic chip. This microfluidic platform constitutes an attractive approach for single-cell culture applications, due to its flexibility of adjustable cell culture spaces for different culture strategies, without decreasing isolation efficiency.

Neurosphere assay is a common and robust method for identification of neural stem/progenitor cells, but obtaining large numbers of live single cells from dissociated neurospheres is difficult using nonenzymatic methods. Here, we present an enzyme-free method for high-efficiency neurosphere dissociation into single cells using microfluidic device technology. This method allows single cell dissociation of DC115 and KT98 cells with high cell viabilities (80-85 %), single-cell yield (91-95 %), and recovery (75-93 %).

Obtaining single dissociated cells from neurospheres is difficult using nonenzymatic methods. In this paper we report the development of a microfluidic-chip-based approach that utilizes flow and microstructures to dissociate neurospheres. We show that this microfluidic-chip-based neurosphere-dissociation method can generate high yields of single cells from dissociated neurospheres of mouse KT98 and DC115 cell models (passage number, 3-8; diameter range, 40-250 μm): 90% and 95%, respectively. The microfluidic-chip-dissociated cells had high viabilities (80-85%) and the ability to regrow into neurospheres, demonstrating the applicability of this device to neurosphere assay applications. In addition, the dissociated cells retained their normal differentiation potentials, as shown by their capabilities to differentiate into three neural lineages (neurons, astroglia, and oligodendrocytes) when cultured in differentiation culture conditions. Since this microfluidic-chip-based method does not require the use of enzymatic reagents, the risk of contamination from exogenous substances could be reduced, making it an attractive tool for a wide range of applications where neurosphere dissociation is needed.