Transcranial volumetric imaging using a conformal ultrasound patch.

Accurate and continuous monitoring of cerebral blood flow is valuable for clinical neurocritical care and fundamental neurovascular research. Transcranial Doppler (TCD) ultrasonography is a widely used non-invasive method for evaluating cerebral blood flow1, but the conventional rigid design severely limits the measurement accuracy of the complex three-dimensional (3D) vascular networks and the practicality for prolonged recording2. Here we report a conformal ultrasound patch for hands-free volumetric imaging and continuous monitoring of cerebral blood flow. The 2 MHz ultrasound waves reduce the attenuation and phase aberration caused by the skull, and the copper mesh shielding layer provides conformal contact to the skin while improving the signal-to-noise ratio by 5 dB. Ultrafast ultrasound imaging based on diverging waves can accurately render the circle of Willis in 3D and minimize human errors during examinations. Focused ultrasound waves allow the recording of blood flow spectra at selected locations continuously. The high accuracy of the conformal ultrasound patch was confirmed in comparison with a conventional TCD probe on 36 participants, showing a mean difference and standard deviation of difference as -1.51 ± 4.34 cm s-1, -0.84 ± 3.06 cm s-1 and -0.50 ± 2.55 cm s-1 for peak systolic velocity, mean flow velocity, and end diastolic velocity, respectively. The measurement success rate was 70.6%, compared with 75.3% for a conventional TCD probe. Furthermore, we demonstrate continuous blood flow spectra during different interventions and identify cascades of intracranial B waves during drowsiness within 4 h of recording.

A wearable cardiac ultrasound imager.

Continuous imaging of cardiac functions is highly desirable for the assessment of long-term cardiovascular health, detection of acute cardiac dysfunction and clinical management of critically ill or surgical patients1-4. However, conventional non-invasive approaches to image the cardiac function cannot provide continuous measurements owing to device bulkiness5-11, and existing wearable cardiac devices can only capture signals on the skin12-16. Here we report a wearable ultrasonic device for continuous, real-time and direct cardiac function assessment. We introduce innovations in device design and material fabrication that improve the mechanical coupling between the device and human skin, allowing the left ventricle to be examined from different views during motion. We also develop a deep learning model that automatically extracts the left ventricular volume from the continuous image recording, yielding waveforms of key cardiac performance indices such as stroke volume, cardiac output and ejection fraction. This technology enables dynamic wearable monitoring of cardiac performance with substantially improved accuracy in various environments.

Application of carbonic anhydrase IX in sporadic hemangioblastoma of the central nervous system and hemangioblastoma associated with von Hippel-Lindau disease.

OBJECTIVE: This research aims to examine the expression of carbonic anhydrase IX (CAIX) protein in hemangioblastoma of the central nervous system and its potential application in pathological diagnosis and differential diagnosis. MATERIALS AND METHODS: Immunohistochemistry was used to identify the expression of CAIX and the α-inhibin protein. The sensitivity and specificity of CAIX and α-inhibin for identifying hemangioblastoma of the central nervous system were compared. In addition, 86 patients with meningiomas were gathered to detect CAIX protein expression. Hemangioblastoma and angiomatous, microcystic the two subtypes of meningiomas, were compared for CAIX and EMA protein expression. RESULTS: In hemangioblastoma, there were significant differences in the median positive percentage and staining intensity of CAIX and α-inhibin (p < 0.05). There was no discernible difference in the expression of the CAIX protein between sporadic hemangioblastoma of the central nervous system and those linked to von Hippel‒Lindau disease. In comparison to angiomatous and microcystic meningiomas, the positive rate of CAIX in hemangioblastomas was substantially greater (p < 0.001). The expression of EMA in microcystic meningioma (6/6) and angiomatous meningioma (17/17) was significantly different from hemangioblastoma (0/30) (p < 0.0001). CONCLUSION: Hemangioblastoma might be diagnosed with high specificity and sensitivity through CAIX immunohistochemistry. The combination of CAIX with EMA is useful for the diagnosis and differential diagnosis of hemangioblastoma.

Nakagami statistics-based photoacoustic spectroscopy used for label-free assessment of bone tissue.

Quick identification of abnormal molecular metabolism of bone tissues is challenging. Photoacoustic (PA) spectroscopy techniques have great potential in molecular imaging. However, most of them are amplitude-dependent and easily affected by the light deposition, especially for bone tissues with high optical scattering. In this Letter, we propose a Nakagami statistics-based PA spectroscopy (NSPS) method for characterizing molecules in bone tissues. We indicate that the NSPS curve can intelligently identify changes in the content of molecules in bone tissues, with a high disturbance-resisting ability. The NSPS has remarkable potential for use in the early and rapid detection of bone diseases.

Food and drug design for gut microbiota-directed regulation: Current experimental landscape and future innovation.

Most diets and medications enhance host health via microbiota-dependent ways, but it is in the present situation of untargeted regulation. Non-targeted regulation may lead to the ineffectiveness of dietary supplements or drug treatment. Microbiota-directed food, aiming to improve diseases by targeting specific microbes without affecting other bacteria, have been proposed to deal with this problem. However, there is currently no universally applicable method to explore such foods or drugs. In this review, thirty studies on recent efforts in microbiota directed diets and medications are summarized from various databases. The methods used to find new foods and medications are primarily divided into four groups depending on the experimental models: in vivo and in vitro, as well as predictions based on bioinformatics. We also discuss their implementation, interpretation, and respective limitations, and describe the present situation. We further put forward a framework for microbiota-directed foods and medicine according to above methods and other microbiome manipulation, which will spur precision medicine.

Is selective nerve root block necessary for learning percutaneous endoscopic lumbar discectomy: a comparative study using a cumulative summation test for learning curve.

PURPOSE: The aim of this study was to investigate the effect of lumbar spine selective nerve root block (SNRB) experience on the learning efficiency of percutaneous endoscopic lumbar discectomy (PELD) for junior trainees. METHODS: A total of 480 patients undergoing single-level PELD performed by eight junior trainees were included. The trainees were divided into two groups based on whether they had previous SNRB experience (group A, yes; group B, no). Surgical proficiency was defined as total operation time less than 65 minutes and cumulative radiation exposure time no more than 40 seconds. The learning curve was analyzed by cumulative summation (CUSUM) test. Clinical evaluations included Macnab classification, visual analog scale (VAS)-low back score, VAS-leg score, and Oswestry Disability Index (ODI). Follow-up information at 12 months was also obtained. RESULTS: Integral number of cases before achieving an acceptable surgical level in group A (47.75 ± 2.50 cases) was significantly smaller than that in group B (56.50 ± 1.29 cases, p < 0.05), along with less accumulated failure (18.75 ± 0.96 cases vs. 25.50 ± 1.75 cases, p < 0.05). The two groups were comparable in clinical outcomes. Forty-seven cases of complications were observed, with 17 in group A and 30 in group B (p < 0.05). CONCLUSION: Previous experience of SNRB improved the performance of PELD with shorter operation time and less radiation exposure. SNRB practice may reduce the complication rate without a significant effect on the recurrence of symptoms and reoperation.

Quantification of number density of random microstructure from a photoacoustic signal by using Nakagami statistics.

Tissue microstructure characterization is a valuable tool in diagnosis and staging of many diseases. In this study, we propose a photoacoustic Nakagami statistics method to noninvasively evaluate the number density of random microstructure. The Nakagami parameters are acquired by fitting the photoacoustic signal envelope histogram with Nakagami distribution function. Theoretical calculations and phantom experiments demonstrate that the Nakagami shape parameter is only related to the number density of random microstructure and monotonically increases with the number density. Based on this finding, we propose a photoacoustic tomography modality with the imaging contrast of the Nakagami shape parameter. Experiments show that the proposed method can provide more comprehensive and accurate description of tissue microstructure.

Quantitative photoacoustic examination of abnormal particles hidden in a mixture of particles with non-uniform sizes.

Noninvasive quantification of abnormal particles hidden in a granular mixture from deep tissue is still a challenge of medical examination. In this study, we have theoretically deduced the power spectrum of the photoacoustic signals from the random mixture of particles with non-uniform sizes. It is revealed that there is an approximate linear relationship between the content of abnormal particles and the spectral slope. This finding provides a parameter of equivalent diameter for the abnormal particle detection. The experimental studies sensitively differentiate and quantify a trace of big micro-particles mixed in small micro-particles. Since the abnormal particles are associated with many important physiological and pathological processes, this study might provide a noninvasive way to assess the related diseases, such as microthrombosis, through monitoring the abnormal particles.

Quantitative imaging of microvasculature in deep tissue with a spectrum-based photo-acoustic microscopy.

We analyze photo-acoustic signals from capillaries and theoretically demonstrate the quantitative relationship between vascular diameter and spectral slope in a low-frequency band. Phantom experiments validate the theoretical analysis. Based on this finding, spectral slope is proposed as the imaging parameter of a photo-acoustic microscopy. This system effectively quantifies the microvasculature with diameters of 60 and 150 µm, which are smaller than the wavelength 342 µm at the central frequency 4.39 MHz of ultrasound transducer. The low frequency also guarantees the imaging depth in the order of centimeters. The proposed scheme could be potential for noninvasive diagnosis of diseases related to abnormal vasoconstriction or angiectasis.

Protocol for screening potential targets for the treatment of hepatocellular carcinoma based on H22 tumor-bearing mouse model.

Regulating cancer-related microRNAs (miRNAs) may become a new generation of therapeutic modalities for cancer treatment. Here, we describe a protocol based on hepatoma-22 (H22) tumor-bearing mice to screen potential targets for treating hepatocellular carcinoma (HCC). We detail the construction of H22 tumor-bearing mice and treatment with two natural compounds, Ulva lactuca L. polysaccharide (ULP) and 5-fluorouracil (5FU). We further describe the isolation of the tumor tissues for miRNA sequencing and the discovery and validation of potential miRNA gene targets against HCC. For complete details on the use and execution of this protocol, please refer to Qiu et al.1.

CAZymes-associated method to explore glycans that mitigate DSS-induced colitis via targeting Bacteroides cellulosilyticus.

Improving Bacteroides cellulosilyticus abundance is a feasible approach to treating inflammatory bowel disease (IBD). Although B. cellulosilyticus is responsive to dietary components, untargeted manipulation cannot focus on target microbe and lead to an increase in harmful bacteria in the microbiota. Breakthroughs in methods for regulating specific microbes, but the protocols are expensive, time-consuming, and difficult to follow. Glycans based on microbial-carbohydrate-active enzymes (CAZymes) would provide a potential solution. We propose a method based on CAZymes to explore polysaccharides that target specific gut microbes and alleviate diseases. The designed polysaccharides (Arabinogalactan, AG) enrich the abundance of B. cellulosilyticus in single-strain co-cultures, fermentation in vitro, and mouse models in vivo. Supplementation with AG relieved mice from colitis and clinical symptoms. We reveal that AG directly alters B. cellulosilyticus level and cooperative microbes, resulting in remission of colitis. Our glycan design pipeline is a promising way to improve disease through the targeted enhancement of specific microbes.

A fully integrated wearable ultrasound system to monitor deep tissues in moving subjects.

Recent advances in wearable ultrasound technologies have demonstrated the potential for hands-free data acquisition, but technical barriers remain as these probes require wire connections, can lose track of moving targets and create data-interpretation challenges. Here we report a fully integrated autonomous wearable ultrasonic-system-on-patch (USoP). A miniaturized flexible control circuit is designed to interface with an ultrasound transducer array for signal pre-conditioning and wireless data communication. Machine learning is used to track moving tissue targets and assist the data interpretation. We demonstrate that the USoP allows continuous tracking of physiological signals from tissues as deep as 164 mm. On mobile subjects, the USoP can continuously monitor physiological signals, including central blood pressure, heart rate and cardiac output, for as long as 12 h. This result enables continuous autonomous surveillance of deep tissue signals toward the internet-of-medical-things.

Gut microbial genomes with paired isolates from China illustrate probiotic and cardiometabolic effects.

The gut microbiome displays genetic differences among populations, and characterization of the genomic landscape of the gut microbiome in China remains limited. Here, we present the Chinese Gut Microbial Reference (CGMR) set, comprising 101,060 high-quality metagenomic assembled genomes (MAGs) of 3,707 nonredundant species from 3,234 fecal samples across primarily rural Chinese locations, 1,376 live isolates mainly from lactic acid bacteria, and 987 novel species relative to worldwide databases. We observed region-specific coexisting MAGs and MAGs with probiotic and cardiometabolic functionalities. Preliminary mouse experiments suggest a probiotic effect of two Faecalibacillus intestinalis isolates in alleviating constipation, cardiometabolic influences of three Bacteroides fragilis_A isolates in obesity, and isolates from the genera Parabacteroides and Lactobacillus in host lipid metabolism. Our study expands the current microbial genomes with paired isolates and demonstrates potential host effects, contributing to the mechanistic understanding of host-microbe interactions.

The regulatory effects of specific polyphenols on Akkermansia are dependent on uridine.

We examined the microbial regulatory capacity of four polyphenols with different structure in healthy mice and explore the mechanism according to exogenous metabolites and microbial metabolites. Oral administration of four polyphenols, including caffeic acid (CA), procyanidin (PA), puerarin (Pue), and resveratrol (Res), did not lead to metabolic disorder in healthy mice. Gut microbiota analysis revealed that CA, PA, and Pue administration significantly enhanced the abundance of Akkermansia and Ruminococcaceae UCG-014 while Res supplement mainly promoted the growth of Lactobacillus and Bacteroides. Furthermore, correlation analysis and exogenous metabolite prediction revealed that the effects of polyphenols, including CA, PA, and Pue, on Akkermansia have strong relationship with uridine while the regulation of Res on microbiota might be dependent on the decrease on petroselinic acid. These investigations considerably suggest the importance of exploration of exogenous metabolites and reveal the similarity of effects of polyphenols on microbiota and metabolites.

Predicting Personalized Diets Based on Microbial Characteristics between Patients with Superficial Gastritis and Atrophic Gastritis.

BACKGROUND: gastritis is a common stomach disease with a high global incidence and can potentially develop into gastric cancer. The treatment of gastritis focuses on medication or diets based on national guidelines. However, the specific diet that can alleviate gastritis remains largely unknown. METHODS: we propose a microbiota-directed dietary strategy that investigates potential food factors using microbial exogenous metabolites. Given the current lack of understanding of the repeatable characteristics of gastric microbiota, we conducted a meta-analysis to identify the features of gastric bacteria. Local samples were collected as validation cohorts. Furthermore, RevEcoR was employed to identify bacteria's exogenous metabolites, and FooDB was used to retrieve foods that can target specific bacteria. RESULTS: Bacteroides, Weissella, Actinomyces, Atopobium, Oribacterium, Peptostreptococcus, and Rothia were biomarkers between superficial gastritis (SG) and atrophic gastritis (AG) (AG_N) without H. pylori infection, whereas Bacillus, Actinomyces, Cutibacterium, Helicobacter, Novosphingobium, Pseudomonas, and Streptococcus were signatures between SG and AG (AG_P) with H. pylori infection. According to the exogenous metabolites, adenosyloobalamin, soybean, common wheat, dates, and barley were regarded as potential candidates for AG_N treatment, while gallate was regarded as a candidate for AG_P treatment. CONCLUSIONS: this study firstly profiled the gastric microbiota of AG and SG with or without H. pylori and provided a recommended diet for global AG according to exogenous metabolites.

A Breathable, Passive-Cooling, Non-Inflammatory, and Biodegradable Aerogel Electronic Skin for Wearable Physical-Electrophysiological-Chemical Analysis.

Real-time monitoring of human health can be significantly improved by designing novel electronic skin (E-skin) platforms that mimic the characteristics and sensitivity of human skin. A high-quality E-skin platform that can simultaneously monitor multiple physiological and metabolic biomarkers without introducing skin discomfort or irritation is an unmet medical need. Conventional E-skins are either monofunctional or made from elastomeric films that do not include key synergistic features of natural skin, such as multi-sensing, breathability, and thermal management capabilities in a single patch. Herein, a biocompatible and biodegradable E-skin patch based on flexible gelatin methacryloyl aerogel (FGA) for non-invasive and continuous monitoring of multiple biomarkers of interest is engineered and demonstrated. Taking advantage of cryogenic temperature treatment and slow polymerization, FGA is fabricated with a highly interconnected porous structure that displays good flexibility, passive-cooling capabilities, and ultra-lightweight properties that make it comfortable to wear for long periods of time. It also provides numerous permeable capillary channels for thermal-moisture transfer, ensuring its excellent breathability. Therefore, the engineered FGA-based E-skin can simultaneously monitor body temperature, hydration, and biopotentials via electrophysiological sensors and detect glucose, lactate, and alcohol levels via electrochemical sensors. This work offers a previously unexplored materials strategy for next-generation E-skin platforms with superior practicality.

Skin-interfaced electronics: A promising and intelligent paradigm for personalized healthcare.

Skin-interfaced electronics (skintronics) have received considerable attention due to their thinness, skin-like mechanical softness, excellent conformability, and multifunctional integration. Current advancements in skintronics have enabled health monitoring and digital medicine. Particularly, skintronics offer a personalized platform for early-stage disease diagnosis and treatment. In this comprehensive review, we discuss (1) the state-of-the-art skintronic devices, (2) material selections and platform considerations of future skintronics toward intelligent healthcare, (3) device fabrication and system integrations of skintronics, (4) an overview of the skintronic platform for personalized healthcare applications, including biosensing as well as wound healing, sleep monitoring, the assessment of SARS-CoV-2, and the augmented reality-/virtual reality-enhanced human-machine interfaces, and (5) current challenges and future opportunities of skintronics and their potentials in clinical translation and commercialization. The field of skintronics will not only minimize physical and physiological mismatches with the skin but also shift the paradigm in intelligent and personalized healthcare and offer unprecedented promise to revolutionize conventional medical practices.

Stretchable ultrasonic arrays for the three-dimensional mapping of the modulus of deep tissue.

Serial assessment of the biomechanical properties of tissues can be used to aid the early detection and management of pathophysiological conditions, to track the evolution of lesions and to evaluate the progress of rehabilitation. However, current methods are invasive, can be used only for short-term measurements, or have insufficient penetration depth or spatial resolution. Here we describe a stretchable ultrasonic array for performing serial non-invasive elastographic measurements of tissues up to 4 cm beneath the skin at a spatial resolution of 0.5 mm. The array conforms to human skin and acoustically couples with it, allowing for accurate elastographic imaging, which we validated via magnetic resonance elastography. We used the device to map three-dimensional distributions of the Young's modulus of tissues ex vivo, to detect microstructural damage in the muscles of volunteers before the onset of soreness and to monitor the dynamic recovery process of muscle injuries during physiotherapies. The technology may facilitate the diagnosis and treatment of diseases affecting tissue biomechanics.

Metabolomics and biochemical insights on the regulation of aging-related diabetes by a low-molecular-weight polysaccharide from green microalga Chlorella pyrenoidosa.

Globally, aging and diabetes are considered prevalent threats to human health. Chlorella pyrenoidosa polysaccharide (CPP) is a natural active ingredient with multiple health benefits including antioxidant and hypolipidemic activities. In this study, the aging-related diabetic (AD) mice model was established to investigate the underlying hypoglycemic and antioxidant mechanisms of CPP. It improved superoxide dismutase, catalase (CAT), glutathione peroxidase (GSH-px), and malondialdehyde activities in liver and insulin secretion. CAT and GSH-px activity in the brain increased after CPP administration. In addition, through histopathological examinations, it was evident that injuries in the liver, brain, jejunum, and pancreas were restored by CPP. This restoration was likely mediated via the activation of glucagon-like peptide-1 receptor/FOXO-1 (forkhead box O1) pathway concurrent with the inhibition of interleukin-6 receptor/FOXO-1 pathway. Furthermore, metabolomics and correlation analysis revealed that CPP possibly relived AD through changes in insulin levels and declined oxidative stress as regulated by phenylpyruvic acid. These findings suggested that CPP exerted antioxidant and hypoglycemic roles in an AD mice model, thereby providing a sound scientific foundation for further development and utilization of CPP.

Treponema primitia α1-2-fucosyltransferase-catalyzed one-pot multienzyme synthesis of fucosylated oligosaccharide lacto-N-fucopentaose I with antiviral activity against enterovirus 71.

Fucosylated oligosaccharides have important biological functions as well as an excellent antiviral activity. A novel α 1-2-fucosyltransferase (α 2FT) from Treponema primitia (Tp2FT) was cloned and expressed in Escherichia coli BL21(DE3) and purified as an N-His6-tagged fusion protein (His6-Tp2FT). Mass spectrometry was carried out to identify the products of enzymatic reaction. The Tp2FT exhibited strict acceptor substrate specificity for type 1 structure (Galß1-3GlcNAc)-containing glycans. It might be a promising emzyme for the chemo-enzymatic synthesis of lacto-N-fucopentaose I (LNFP I), which is one of the important fucosylated oligosaccharides. In this study, different in vitro experiments were used to study the biological activities of LNFP I. It could reduce the concentrations of inflammatory cytokines and effectively inhibit the synthesis of enterovirus 71 proliferation. LNFP I was an inhibitor of enterovirus 71 in the early stages of infection, it can used in infant nutrition and might provide a new drug for hand foot mouth disease.