A Contrast-Enhanced Tri-Modal MRI Technique for High-Performance Hypoxia Imaging of Breast Cancer.

Personalized radiotherapy strategies enabled by the construction of hypoxia-guided biological target volumes (BTVs) can overcome hypoxia-induced radioresistance by delivering high-dose radiotherapy to targeted hypoxic areas of the tumor. However, the construction of hypoxia-guided BTVs is difficult owing to lack of precise visualization of hypoxic areas. This study synthesizes a hypoxia-responsive T1, T2, T2 mapping tri-modal MRI molecular nanoprobe (SPION@ND) and provides precise imaging of hypoxic tumor areas by utilizing the advantageous features of tri-modal magnetic resonance imaging (MRI). SPION@ND exhibits hypoxia-triggered dispersion-aggregation structural transformation. Dispersed SPION@ND can be used for routine clinical BTV construction using T1-contrast MRI. Conversely, aggregated SPION@ND can be used for tumor hypoxia imaging assessment using T2-contrast MRI. Moreover, by introducing T2 mapping, this work designs a novel method (adjustable threshold-based hypoxia assessment) for the precise assessment of tumor hypoxia confidence area and hypoxia level. Eventually this work successfully obtains hypoxia tumor target and accurates hypoxia tumor target, and achieves a one-stop hypoxia-guided BTV construction. Compared to the positron emission tomography-based hypoxia assessment, SPION@ND provides a new method that allows safe and convenient imaging of hypoxic tumor areas in clinical settings.

Rapid integration of screen-printed electrodes into thermoplastic organ-on-a-chip devices for real-time monitoring of trans-endothelial electrical resistance.

Trans-endothelial electrical resistance (TEER) is one of the most widely used indicators to quantify the barrier integrity of endothelial layers. Over the last decade, the integration of TEER sensors into organ-on-a-chip (OOC) platforms has gained increasing interest for its efficient and effective measurement of TEER in OOCs. To date, microfabricated electrodes or direct insertion of wires has been used to integrate TEER sensors into OOCs, with each method having advantages and disadvantages. In this study, we developed a TEER-SPE chip consisting of carbon-based screen-printed electrodes (SPEs) embedded in a poly(methyl methacrylate) (PMMA)-based multi-layered microfluidic device with a porous poly(ethylene terephthalate) membrane in-between. As proof of concept, we demonstrated the successful cultures of hCMEC/D3 cells and the formation of confluent monolayers in the TEER-SPE chip and obtained TEER measurements for 4 days. Additionally, the TEER-SPE chip could detect changes in the barrier integrity due to shear stress or an inflammatory cytokine (i.e., tumor necrosis factor-α). The novel approach enables a low-cost and facile fabrication of carbon-based SPEs on PMMA substrates and the subsequent assembly of PMMA layers for rapid prototyping. Being cost-effective and cleanroom-free, our method lowers the existing logistical and technical barriers presenting itself as another step forward to the broader adoption of OOCs with TEER measurement capability.

Multiplexed Lab-on-a-Chip Bioassays for Testing Antibodies against SARS-CoV-2 and Its Variants in Multiple Individuals.

Neutralization assays that can measure neutralizing antibodies in serum are vital for large-scale serodiagnosis and vaccine evaluation. Here, we establish multiplexed lab-on-a-chip bioassays for testing antibodies against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and its variants. Compared with enzyme-linked immunosorbent assay (ELISA), our method exhibits a low consumption of sample and reagents (10 µL), a low limit of detection (LOD: 0.08 ng/mL), a quick sample-to-answer time (about 70 min), and multiplexed ability (5 targets in each of 7 samples in one assay). We can also increase the throughput as needed. The concentrations of antibodies against RBD, D614G, N501Y, E484K, and L452R/E484Q-mutants after two doses of vaccines are 6.6 ± 3.6, 8.7 ± 4.6, 3.4 ± 2.8, 3.8 ± 2.8, and 2.8 ± 2.3 ng/mL, respectively. This suggests that neutralizing activities against N501Y, E484K, and L452R/E484Q-mutants were less effective than RBD and D614G-mutant. We performed a plaque reduction neutralization test (PRNT) for all volunteers. Compared with PRNT, our assay is fast, accurate, inexpensive, and multiplexed with multiple-sample processing ability, which is good for large-scale serodiagnosis and vaccine evaluation.

Organ-On-A-Chip Models of the Blood-Brain Barrier: Recent Advances and Future Prospects.

The human brain and central nervous system (CNS) present unique challenges in drug development for neurological diseases. One major obstacle is the blood-brain barrier (BBB), which hampers the effective delivery of therapeutic molecules into the brain while protecting it from blood-born neurotoxic substances and maintaining CNS homeostasis. For BBB research, traditional in vitro models rely upon Petri dishes or Transwell systems. However, these static models lack essential microenvironmental factors such as shear stress and proper cell-cell interactions. To this end, organ-on-a-chip (OoC) technology has emerged as a new in vitro modeling approach to better recapitulate the highly dynamic in vivo human brain microenvironment so-called the neural vascular unit (NVU). Such BBB-on-a-chip models have made substantial progress over the last decade, and concurrently there has been increasing interest in modeling various neurological diseases such as Alzheimer's disease and Parkinson's disease using OoC technology. In addition, with recent advances in other scientific technologies, several new opportunities to improve the BBB-on-a-chip platform via multidisciplinary approaches are available. In this review, an overview of the NVU and OoC technology is provided, recent progress and applications of BBB-on-a-chip for personalized medicine and drug discovery are discussed, and current challenges and future directions are delineated.

Global-local multi-stage temporal convolutional network for cataract surgery phase recognition.

BACKGROUND: Surgical video phase recognition is an essential technique in computer-assisted surgical systems for monitoring surgical procedures, which can assist surgeons in standardizing procedures and enhancing postsurgical assessment and indexing. However, the high similarity between the phases and temporal variations of cataract videos still poses the greatest challenge for video phase recognition. METHODS: In this paper, we introduce a global-local multi-stage temporal convolutional network (GL-MSTCN) to explore the subtle differences between high similarity surgical phases and mitigate the temporal variations of surgical videos. The presented work consists of a triple-stream network (i.e., pupil stream, instrument stream, and video frame stream) and a multi-stage temporal convolutional network. The triple-stream network first detects the pupil and surgical instruments regions in the frame separately and then obtains the fine-grained semantic features of the video frames. The proposed multi-stage temporal convolutional network improves the surgical phase recognition performance by capturing longer time series features through dilated convolutional layers with varying receptive fields. RESULTS: Our method is thoroughly validated on the CSVideo dataset with 32 cataract surgery videos and the public Cataract101 dataset with 101 cataract surgery videos, outperforming state-of-the-art approaches with 95.8% and 96.5% accuracy, respectively. CONCLUSIONS: The experimental results show that the use of global and local feature information can effectively enhance the model to explore fine-grained features and mitigate temporal and spatial variations, thus improving the surgical phase recognition performance of the proposed GL-MSTCN.

Epidermal Sensor for Potentiometric Analysis of Metabolite and Electrolyte.

Wearable epidermal sensors that can provide noninvasive and continuous analysis of metabolites and electrolytes in sweat have great significance for healthcare monitoring. This study reports an epidermal sensor that can wirelessly, noninvasively, and potentiometrically analyze metabolites and electrolytes. Potentiometry-based ion-selective electrodes (ISE) are most widely used for detecting electrolytes, such as Na+ and K+. We develop an enzyme-based glucose ISE for potentiometric analysis of sweat glucose. The glucose ISE sensor is obtained by modifying a glucose oxidase layer (GOD) on an H+ ISE sensor. GOD catalyzes glucose to generate H+. The generated H+ passes through the H+ selective membrane to change the potential of the electrode. We have fully examined the limit of detection, detecting range, and stability of our epidermal sensor. Meanwhile, using this epidermal sensor, we can easily analyze the relationship between blood glucose and sweat glucose. The concentration curve of sweat glucose can represent blood glucose concentration, significantly contributing to sports and chronic disease monitoring.

Open questions on the nature of Parkinson's disease: from triggers to spreading pathology.

Parkinson's disease (PD) is a movement disorder identified more than 200 years ago; today it is defined by specific motor symptoms that together receive the name of parkinsonism. PD diagnosis is reached with the full parkinsonian syndrome, but in recent years, a series of non-motor symptoms have arisen as intrinsic components of PD. These non-motor symptoms are variable, creating a widely heterogenous disease presentation. Some non-motor symptoms appear in late disease stages and are explained as the natural progression of PD pathology into other brain centres, including the frontal cortex. Other symptoms can appear a decade or earlier preceding PD diagnosis, particularly hyposmia (loss of smell) and constipation. These early symptoms and the accompanying protein pathology have stimulated a lively conversation about the origin and nature of PD and other related conditions: some authors propose that PD starts in the olfactory mucosa and the gut due to direct exposure to toxins or pathogens. This pathology then travels by anatomically interconnected networks to the midbrain to cause motor symptoms and the cortex to cause late complications. Other models propose that PD develops in multiple independent foci that do not require pathology spread. We will review these hypotheses in the context of recent developments regarding the spread of amyloids and propose a mixed model where a multifocal origin explains the variable presentation of PD, while cell-to-cell spread explains stereotypical disease progression.

Highly Stretchable and Biocompatible Liquid Metal-Elastomer Conductors for Self-Healing Electronics.

Highly stretchable, conductive, biocompatible conductors, and connectors are crucial for the fabrication of flexible devices. However, it remains a problem to get highly stretchable, conductive materials with low cost on a large scale. Another problem in production is the connection between soft and rigid components. Here, a new conductive nanocomposite is reported by mixing the 11-mercaptoundecanoic acid (MUA) modified liquid metal (LM) nanoparticles with polystyrene-block-polybutadiene-block-polystyrene (SBS), which is biocompatible (in vivo and in vitro), conductive (12 000 S cm-1 of conductivity), and stretchable (800% of elongation). Apart from its good performance, this material can be produced on a large scale by using a commercial polymer product and a straightforward physical production process. MUA is used to compromise the dense "gallium oxide shell" of liquid metal nanoparticles such that the whole composite can become conductive. By using resin to modify this composite, this new conductive material can be adhesive and highly conductive, and serve as a stable and efficient connector between soft conductor and rigid component.

A hinge-based aligner for fast, large-scale assembly of microfluidic chips.

Microfluidics has shown its vitality in scientific research. But the lack of fast and straightforward approaches for aligning chip and easy-to-control on-chip valve still prevent microfluidic chips from becoming powerful commercial products. This work presents an aligner based on hinge structures, which we call a "hinge aligner", for aligning microfluidic chips. Two flat chip holders are connected by a connecting rod so that the chip holders can rotate relative to each other along the connecting rod, in the way a hinge works. The two chip holders contain pre-designed recesses for placing two chips which can align chips with 20 µm resolution. Meanwhile, with this hinge aligner, we can easily implement a fully sealed on-chip valve, which can prevent aqueous liquids from leaking even at 80 °C for 30 min. The real immunoassay result shows aligned microfluidic chips can detect protein with improved reproducibility in both high and low concentration of biomarkers.

The Eno Gene of Burkholderia cenocepacia Strain 71-2 is Involved in Phosphate Solubilization.

Bacterial strain 71-2 with phosphate-solubilizing activity was isolated from tobacco rhizosphere and classified as Burkholderia cenocepacia based on sequence analyses of 16S rRNA and recA genes. To learn phosphate-solubilizing mechanisms of 71-2, mutants showing reduced solubilizing phosphate activity were obtained using the EZ-Tn5 transposon. Mutant 71-2-MT51 was reduced in the solubilizing phosphate content to 34.36% as compared with the wild-type strain 71-2. The disrupted gene in 71-2-MT51 was cloned and sequenced, and the putative protein from the gene shared 65.26% identity to protein sequences of enolase from Escherichia coli, which suggests the gene encodes an enzyme of enolase. Complementation analyzing showed that Eno was responsible for phosphate solubilizing for B. cenocepacia strain 71-2. To our knowledge, this is the first report of Eno involved in phosphate solubilizing in B. cenocepacia as well as in other bacteria.

Hydrogels Incorporating Au@Polydopamine Nanoparticles: Robust Performance for Optical Sensing.

Stimuli-responsive hydrogels (SRhG) that undergo response to physicochemical stimuli have been broadly applied in separation, biosensing, and drug delivery. Since, most of the SRhG are based on the structural behaviors (swelling or collapse). Herein, we describe a more simple and convenient colorimetric SRhG of polydopamine-coated gold nanoparticles (Au@PDA NPs) hydrogel. The newly developed SRhG is based on the in situ surface chemistry of Au@PDA NPs with core-shell structure embedding in agarose hydrogel. Silver ions can in situ form Ag NPs on surfaces of Au@PDA NPs (Ag_Au@PDA NPs with core-satellites like structure) at ambient conditions, which shift the localized surface plasmon resonance (LSPR) absorption peak and result in color change. The solid sensing phase of SRhG shows greatly improved stability and anti-interference ability comparing to that of solution phase sensing. With rational designs, Au@PDA NPs hydrogel shows great potential in optical sensing, for example, biothiol detection, and coupled with enzyme-cascade reaction for acetylcholinesterase activity detection and inhibitor assays with excellent sensitivity and selectivity.

Staged surgical treatment of the giant Pituitary Neuroendocrine Tumors.

OBJECTIVE: To investigate the long-term clinical outcomes of staged surgical resection in giant Pituitary Neuroendocrine Tumors(pitNET).Method We performed a retrospective analysis of the clinical data of 16 patients who underwent surgery. The patients were diagnosed and underwent surgery at the Department of Neurosurgery of Shiyan Taihe Hospital from January 2013 to March 2021. Among the cases, 12 patients underwent primarily transsphenoidal surgery followed by secondary transcranial surgery, while 4 patients underwent primarily transsphenoidal surgery followed by secondary transsphenoidal surgery. Before the surgery, all patients underwent a pituitary MRI scan, pituitary hormone level examination, visual acuity, and visual field examination. A pituitary MRI was rechecked within 1 week after the operation. A tumor resection rate of 100% on MRI was considered as a total resection, between 90% to 100% as a subtotal resection, and lower than 90% as a partial resection. After the surgery, regular clinical visits and telephone or internet platform follow-ups were conducted. Outcome In our clinical investigation, after staged surgery 10 patients had a total resection, 5 had a subtotal resection, and 1 had a partial resection depending on the tumor size and invasion. The clinical outcomes showed that 1 case suffered from postoperative intracranial infection, 1 case had decreased visual acuity, and 6 cases experienced decreased pituitary function after surgery.Postoperative complications were cured after symptomatic treatment, except for 1 patient who experienced decreased vision and 1 patient sufferred hypopituitarism required long-term oral levothyroxine tablet treatment. No cases of intracranial hemorrhage or death were caused by intentionally staged resection surgery. Conclusion Staged surgery for giant pitNET is a safe and effective clinical surgery strategy.

A powerful method for In Situ and rapid detection of trace nanoplastics in water-Mie scattering.

The pervasive presence of nanoplastics (NPs) in environmental media has raised significant concerns regarding their implications for environmental safety and human health. However, owing to their tiny size and low level in the environment, there is still a lack of effective methods for measuring the amount of NPs. Leveraging the principles of Mie scattering, a novel approach for rapid in situ quantitative detection of small NPs in low concentrations in water has been developed. A limit of detection of 4.2 µg/L for in situ quantitative detection of polystyrene microspheres as small as 25 nm was achieved, and satisfactory recoveries and relative standard deviations were obtained. The results of three self-ground NPs showed that the method can quantitatively detect the concentration of NPs in a mixture of different particle sizes. The satisfactory recoveries (82.4% to 110.3%) of the self-ground NPs verified the good anti-interference ability of the method. The total concentrations of the NPs in the five brands of commercial bottled water were 0.07 to 0.39 µg/L, which were directly detected by the method. The proposed method presents a potential approach for conducting in situ and real-time environmental risk assessments of NPs on human and ecosystem health in actual water environments.

Choroidal Layer Analysis in OCT images via Ambiguous Boundary-aware Attention.

Optical Coherence Tomography (OCT) is a commonly used retina imaging technique, and it is capable of revealing the morphology of the choroid. However, the segmentation and quantitative analysis of the sublayers and vessels in choroid are rarely explored, primarily due to the indistinct boundaries of choroidal sublayers, and imbalanced distribution of vessels observed in OCT imagery. In this paper, we propose a novel two-stage architecture called Choroidal Layer Analysis network (CLA), that may be considered the first attempt in this research community for joint segmentation of choroidal sublayers and choroidal vessels in OCT images. CLA employs the encoder-decoder network with the residual U-shape module as the backbone. In order to empower the ability of the segmentation model to identify the inconspicuous boundaries of choroidal sublayers, we introduce an Ambiguous Boundary Attention block (ABA) into the bottleneck of the encoder-decoder network in the first stage. For more accurate segmentation of large choroidal vessels with ambiguous contours and imbalanced spatial distribution, the second stage introduces an active contour-based loss to refine the contours of choroidal vessels simultaneously with precise identification of each vessel via contextual modeling. To train, test and validate the proposed model, we conducted a choroidal segmentation dataset containing 800 OCT images, with their sublayers and large choroidal vessels manually annotated. Experimental results demonstrate the superiority of the proposed approach compared with other state-of-the-art segmentation networks in large margins. It is worth noting that we also reconstructed the large choroidal vessels in three-dimensional (3D) based on the segmentation results, and multiple 3D morphological parameters were calculated. The statistical analysis of these parameters demonstrates significant differences between the healthy control and high myopia group, and this further confirms the proposed work may facilitate subsequent disease understanding and clinical decision-making.

Inositol hexaphosphate enhances chemotherapy by reversing senescence induced by persistently activated PERK and diphthamide modification of eEF2.

Oxaliplatin is an important initial chemotherapy benefiting advanced-stage colorectal cancer patients. Frustratingly, acquired oxaliplatin resistance always occurs after sequential chemotherapy with diverse antineoplastic drugs. Therefore, an exploration of the mechanism of oxaliplatin resistance formation in-depth is urgently needed. We generated oxaliplatin-resistant colorectal cancer models by four representative compounds, and RNA-seq revealed that oxaliplatin resistance was mainly the result of cells' response to stimulus. Moreover, we proved persistent stimulus-induced endoplasmic reticulum stress (ERs) and associated cellular senescence were the core causes of oxaliplatin resistance. In addition, we screened diverse phytochemicals for ER inhibitors in silico, identifying inositol hexaphosphate (IP6), whose strong binding was confirmed by surface plasmon resonance. Finally, we confirmed the ability of IP6 to reverse colorectal cancer chemoresistance and investigated the mechanism of IP6 in the inhibition of diphthamide modification of eukaryotic elongation factor 2 (eEF2) and PERK activation. Our study demonstrated that oxaliplatin resistance contributed to cell senescence induced by persistently activated PERK and diphthamide modification of eEF2 levels, which were specifically reversed by combination therapy with IP6.

Correction: Integrated biosensors for monitoring microphysiological systems.

Correction for 'Integrated biosensors for monitoring microphysiological systems' by Lei Mou et al., Lab Chip, 2022, 22, 3801-3816, https://doi.org/10.1039/D2LC00262K.

Isoliquiritigenin induces neurodevelopmental-toxicity and anxiety-like behavior in zebrafish larvae.

Isoliquiritigenin, a flavonoid compound, exhibits a variety of pharmacological properties, including anti-inflammatory, anti-oxidative, anti-microbial, anti-viral, and anti-tumor effects. In the past few years, the consumption of isoliquiritigenin-containing dietary supplements has increased due to their health benefits. Although the neuroprotective effects of isoliquiritigenin have been well-investigated, these studies were performed in cells and adult animals. The potential effects of isoliquiritigenin on the development, especially the neurodevelopment, of certain populations, such as zebrafish larvae, have not been investigated. In this study, zebrafish larvae were employed as a model to investigate the effects of isoliquiritigenin on development and neurodevelopment. Zebrafish embryos treated with high concentrations of isoliquiritigenin (10 and 15 µM) exhibited high rates of mortality, hatching, and malformation, indicating that isoliquiritigenin can affect zebrafish development. In addition, isoliquiritigenin impeded the development of central nervous system regions and the length of dopaminergic neurons located in midbrains and thalami of transgenic zebrafish larvae. The locomotor ability of zebrafish larvae exposed to high concentrations of isoliquiritigenin was negatively affected. The total distance and the average velocity significantly decreased, and anxiety-related behaviors were observed under light-dark challenge. Furthermore, the levels of gap43, tuba1b, mbp, hcrt, vmat2, and pomc, which mediate neurodevelopment, neurotoxicity, and anxiety were significantly decreased in zebrafish larvae exposed to isoliquiritigenin. These results indicate that isoliquiritigenin can disrupt the development of dopaminergic neurons and the function of the central nervous system in zebrafish, causing anxiety-like symptoms.

Recent Advances in Bioinspired Hydrogels: Materials, Devices, and Biosignal Computing.

The remarkable ability of biological systems to sense and adapt to complex environmental conditions has inspired new materials and novel designs for next-generation wearable devices. Hydrogels are being intensively investigated for their versatile functions in wearable devices due to their superior softness, biocompatibility, and rapid stimulus response. This review focuses on recent strategies for developing bioinspired hydrogel wearable devices that can accommodate mechanical strain and integrate seamlessly with biological systems. We will provide an overview of different types of bioinspired hydrogels tailored for wearable devices. Next, we will discuss the recent progress of bioinspired hydrogel wearable devices such as electronic skin and smart contact lenses. Also, we will comprehensively summarize biosignal readout methods for hydrogel wearable devices as well as advances in powering and wireless data transmission technologies. Finally, current challenges facing these wearable devices are discussed, and future directions are proposed.

Liquid metal-polymer conductor-based wireless, battery-free epidermal patch.

Wearable epidermal patch can seamlessly monitor biological signals in real-time. Here, we report a liquid metal-polymer conductor-based wireless epidermal patch. The epidermal patch is made of a new conductive material called liquid metal-polymer conductors (LMPC). LMPC is made by casting and peeling off polymers from patterned liquid metal particles. Our printable conductors present good stretchability, repeatability, and biocompatibility. We fabricate LMPC-based antenna and wire, which achieves wireless signal communication and power supply. To demonstrate the capability of our LMPC-based antenna and wire, we fabricate an epidermal patch to analyze metabolites, electrolytes, and urea in sweat. When a portable device is close to the epidermal sensor, the device can power and read the sensor through LMPC-based antenna. The epidermal patch exhibited good analytical performance for sweat analysis with a low limit of detection, fast response time, and multiplex detection capabilities. This epidermal patch opens the possibility for a broad range of non-invasive diagnostic tools that can be used for health monitoring in the general population.