Multiplexed 3D atlas of state transitions and immune interaction in colorectal cancer.

Advanced solid cancers are complex assemblies of tumor, immune, and stromal cells characterized by high intratumoral variation. We use highly multiplexed tissue imaging, 3D reconstruction, spatial statistics, and machine learning to identify cell types and states underlying morphological features of known diagnostic and prognostic significance in colorectal cancer. Quantitation of these features in high-plex marker space reveals recurrent transitions from one tumor morphology to the next, some of which are coincident with long-range gradients in the expression of oncogenes and epigenetic regulators. At the tumor invasive margin, where tumor, normal, and immune cells compete, T cell suppression involves multiple cell types and 3D imaging shows that seemingly localized 2D features such as tertiary lymphoid structures are commonly interconnected and have graded molecular properties. Thus, while cancer genetics emphasizes the importance of discrete changes in tumor state, whole-specimen imaging reveals large-scale morphological and molecular gradients analogous to those in developing tissues.

MCMICRO: a scalable, modular image-processing pipeline for multiplexed tissue imaging.

Highly multiplexed tissue imaging makes detailed molecular analysis of single cells possible in a preserved spatial context. However, reproducible analysis of large multichannel images poses a substantial computational challenge. Here, we describe a modular and open-source computational pipeline, MCMICRO, for performing the sequential steps needed to transform whole-slide images into single-cell data. We demonstrate the use of MCMICRO on tissue and tumor images acquired using multiple imaging platforms, thereby providing a solid foundation for the continued development of tissue imaging software.

Effects of branched-chain amino acids supplementation on patients undergoing hepatic intervention: a meta-analysis of randomised controlled trials.

The benefits of branched-chain amino acid (BCAA) administration after hepatic intervention in patients with liver diseases remain unclear. We conducted a systematic review and meta-analysis to evaluate the effects of BCAA on patients undergoing hepatectomy, trans-arterial embolisation and radiofrequency ablation. Relevant randomised controlled trials (RCT) were obtained from PubMed, EMBASE and Cochrane Library databases. A meta-analysis was performed to calculate the pooled effect size by using random-effects models. The primary outcomes were survival and tumour recurrence. The secondary outcomes were hospital stay, nutrition status, biochemistry profile, complication rate of liver treatment and adverse effect of BCAA supplementation. In total, eleven RCT involving 750 patients were included. Our meta-analysis showed no significant difference in the rates of tumour recurrence and overall survival between the BCAA and control groups. However, the pooled estimate showed that BCAA supplementation in patients undergoing hepatic intervention significantly increased serum albumin (mean difference (MD): 0·11 g/dl, 95 % CI: 0·02, 0·20; 5 RCT) at 6 months and cholinesterase level (MD: 50·00 U/L, 95 % CI: 21·08, 78·92; 1 RCT) at 12 months and reduced ascites incidence (risk ratio: 0·39, 95 % CI: 0·21, 0·71; 4 RCT) at 12 months compared with the control group. Additionally, BCAA administration significantly increased body weight at 6 months and 12 months and increased arm circumference at 12 months. In conclusion, BCAA supplementation significantly improved the liver function, reduced the incidence of ascites and increased body weight and arm circumference. Thus, BCAA supplementation may beneficial for selected patients undergoing liver intervention.

Root rot of spinach caused by Pythium myriotylum and P. aphanidermatum in Taiwan.

Spinach (Spinacia oleracea) is a commonly used green vegetable. During September and October in both 2022 and 2023, a vegetable nursery company located among paddy rice fields in Taichung City, Taiwan, reported significant failures in spinach seedling production in net-houses with mean outdoor temperatures of 28.7℃. Abnormal growth was observed in approximately 30% of the spinach seedlings in each batch (n = 2,000 to 3,000), with aboveground tissues showing stunting, yellowing, and wilt, and underground tissues displaying root rot. The symptoms resembled the spinach damping-off documented in Taiwan in extension articles but which lacked complete pathogen identification. A total of 110 plants from two batches were used for pathogen isolation by placing roots on water agar incubated at 25℃ or were examined for the presence of oospores in diseased roots. Eighty-one percent of these plants were associated with Pythium. Nine Pythium isolates were used in subsequent analyses. Genomic DNA from these isolates was subjected to amplification of ITS, ß-tubulin gene (TUB2), and cytochrome C oxidase subunit Ⅱ (COXII) gene with primer pairs ITS1 / ITS4, BT5 / BT6, and FM58 / FM66 (Villa et al. 2006). Sequences of ITS (PP209187-PP209195), TUB2 (PP212864-PP212872), and COXII (PP212855-PP212863) were deposited in GenBank. Four isolates (sp01, sp02, sp03, and sp04) were 100% identical to the neotype strain (CBS 118.80) of Pythium aphanidermatum (Edson) Fitzp. for the ITS (761 bp), TUB2 (583 bp), and COXII (547 bp). Five isolates (2sp, 3sp, ND2-4sp, D3-4sp, and ND3-3sp) were 99.87%, 100%, and 99% identical to the reference strain (CBS 254.70) of Pythium myriotylum Drechsler for the ITS (762 bp), TUB2 (602 bp), and COXII (556 bp), respectively. Phylogenetic analysis of Pythium isolates inferred from concatenated sequences of the three genes (LéVesque and De Cock 2004; Villa et al. 2006) revealed that the same four isolates grouped with the neotype strain of P. aphanidermatum, and the five isolates clustered with the reference strain of P. myriotylum, each with a 100% bootstrap support. Morphological features of isolates ND3-3sp and sp01 were used for identification. Isolate ND3-3sp produced inflated lobulate sporangia and aplerotic and smooth oospores (16.3 to 25.1 um; n = 30) attached with three to five antheridia, consistent with identification as P. myriotylum. Isolate sp01 produced inflated lobulate sporangia and aplerotic and smooth oospores (17.0 to 24.0 um; n= 30) attached with a single intercalary antheridium, agreeing with the morphology of P. aphanidermatum (Van der Plaats-Niterink 1981). To investigate the pathogenicity of the nine Pythium isolates on spinach, 20 mycelial agar discs (4 mm in diameter) from a 2-day-old V8 culture of each isolate were used to induce sporangia and zoospores in 20 ml sterilized water at 25℃ with a 12 h light / dark regime. A 1.5 ml zoospore suspension (6 × 103 zoospores / ml) was dropped into BVB growth substrate of two spinach seedlings in 2-week-old at 25℃ with 12 h light / dark regime, resulting in symptoms resembling those observed in commercial nurseries at 7 days post-inoculation (dpi). Each Pythium isolate inoculated 20 seedlings in 10 cells of a planting tray. At 14 dpi, disease incidences were 95 to 100% for P. myriotylum isolates and 60 to 85% for P. aphanidermatum isolates, while control plants treated with water showed no symptoms. Re-isolated pathogens from the inoculated plants were morphologically identical to the inoculated isolates, completing Koch's postulates. Results of the pathogenicity assay, along with molecular and morphological identification, conclude that the root rot of spinach was caused by P. myriotylum and P. aphanidermatum. The two oomycetes were not formally documented to cause spinach diseases in Taiwan. Although P. myriotylum has been isolated from spinach (Wang et al. 2003), its pathogenicity to spinach was not documented worldwide. Root rot of spinach caused by P. aphanidermatum has been reported in the United States (Bates and Stanghellini 1984), Korea (Cho and Shin 2004), and Italy (Garibaldi et al. 2015). These pathogens thrive in humid and hot weather (Littrell and McCarter, 1970). Producing spinach in cooler weather or in a temperature-controlled environment may help prevent severe occurrence of the disease.

Zfra Overrides WWOX in Suppressing the Progression of Neurodegeneration.

We reported that a 31-amino-acid Zfra protein (zinc finger-like protein that regulates apoptosis) blocks neurodegeneration and cancer growth. Zfra binds WW domain-containing oxidoreductase (WWOX) to both N- and C-termini, which leads to accelerated WWOX degradation. WWOX limits the progression of neurodegeneration such as Alzheimer's disease (AD) by binding tau and tau-hyperphosphorylating enzymes. Similarly, Zfra binds many protein targets and accelerates their degradation independently of ubiquitination. Furthermore, Zfra4-10 peptide strongly prevents the progression of AD-like symptoms in triple-transgenic (3xTg) mice during aging. Zfra4-10 peptide restores memory loss in 9-month-old 3xTg mice by blocking the aggregation of a protein cascade, including TPC6AΔ, TIAF1, and SH3GLB2, by causing aggregation of tau and amyloid ß. Zfra4-10 also suppresses inflammatory NF-κB activation. Zfra-activated Hyal-2+ CD3- CD19- Z cells in the spleen, via Hyal-2/WWOX/Smad4 signaling, are potent in cancer suppression. In this perspective review, we provide mechanistic insights regarding how Zfra overrides WWOX to induce cancer suppression and retard AD progression via Z cells.

Depression and anxiety between nurses and nursing assistants working in long-term care facilities during the COVID-19 pandemic.

AIM: This study investigated the levels of depression and anxiety in nurses and nursing assistants working in long-term care facilities during the COVID-19 pandemic. We also explored the potential causes of depression and anxiety in nurses and nursing assistants working in long-term care facilities during the pandemic. BACKGROUND: The COVID-19 pandemic has had a considerable impact on long-term care facilities. The high infection and mortality rates for COVID-19 have resulted in an increased workload for caregivers. INTRODUCTION: The COVID-19 pandemic exposed caregivers working in long-term care facilities to higher risks of anxiety and depression. Additionally, the high risk of infection in the work environment and concerns about spreading COVID-19 to family members and long-term care facility residents led to various forms of stress among caregivers. METHODS: The present study was a cross-sectional study. Questionnaires were used to investigate depression and anxiety among regarding nurses and nursing assistants working in long-term care facilities during the pandemic. RESULTS: The depression and anxiety levels of the nurses were higher than nursing assistants, but had no statistically significant difference (p = 0.551). The factors influencing levels of depression and anxiety in nurses contained facility affiliation and experience working. In terms of nursing assistants, age, marital status, and facility affiliation were correlated with the levels of depression and anxiety. DISCUSSION: The pandemic has severely impacted caregivers. In the process of implementing pandemic prevention measures and providing care for COVID-19 patients, safeguarding the psychological health of caregivers is also essential. CONCLUSION: The levels of depression and anxiety in nurses were higher than in nursing assistants working in long-term care facilities during the pandemic. IMPLICATION FOR NURSING AND HEALTH POLICY: Long-term care facilities managers are recommended to enhance the education and training process for caregivers. Managers are also recommended to ensure provision of sufficient amounts of pandemic prevention equipment and resources.

The EGL-30 pathway regulates experience-dependent aversive behavior of Caenorhabditis elegans to the pathogenic bacterium Pseudomonas aeruginosa.

Avoidance of harmful substances is survival strategy used cross invertebrates and vertebrates. For example, the nematode Caenorhabditis elegans evolves a sufficient avoidance response to pathogenic bacteria. Despite G protein has been found to exert neural plasticity for avoidance behaviours in C. elegans, the function of Gi/o and Gq subunit signalling in experience-dependent aversive behaviour remains unclear. In this study, we show that EGL-30/Gq coupled with EGL-8/UNC-13 regulates aversive behaviour of C. elegans to pathogenic bacterium Pseudomonas aeruginosa PA01 via acetylcholine and its receptor nAChR. Pyocyanin, a toxin secreted from P. aeruginosa, acts as a signal molecule to trigger aversive behaviour. ODR-3 and ODR-7 in AWA and AWC neurons function as upstream of EGL-30 to induce experience-dependent aversive behaviour to P. aeruginosa, respectively. These results suggested that a novel signalling pathway to regulate a behavioural response.

Electrocatalytic Biomass Upgrading of Furfural using Transition-Metal Borides via Density Functional Theory Investigation.

Electrocatalytic biomass upgrading has proven to be an effective technique for generating value-added products. Herein, the design and development of furfural upgrading using transition-metal borides (MBenes) with simultaneous production of hydrogen are presented. Using density functional theory, the stabilities, selectivities, and activities of 13 MBene candidates are systematically evaluated for furfural upgrading. This research suggests that Fe2 B2 can serve as a promising electrocatalyst for the formation of furoic acid (FAC), with a limiting potential of -0.15 V, and 5-hydroxy-2(5H)-furanone (HFO), with a limiting potential of -0.93 V. Furthermore, Fe2 B2 and Mn2 Fe2 are shown to exhibit favorable limiting potentials of -1.35 and -1.36 V, respectively, for producing 6-hydroxy-2.3-dihydro-6H-pyrano-3-one (HDPO), indicating that they may also serve as electrocatalysts. Based on Sabatier's principle, a descriptor (φ) of material properties is developed for screening catalysts with high catalytic activity considering the electronegativities and d-electron number of metals. Additionally, surface redox potential, electronic properties, and charge-density differences are determined for Fe2 B2 , which is estimated to exhibit high catalytic activity for the oxidation of furfural to FAC and HFO.

Stitching and registering highly multiplexed whole-slide images of tissues and tumors using ASHLAR.

MOTIVATION: Stitching microscope images into a mosaic is an essential step in the analysis and visualization of large biological specimens, particularly human and animal tissues. Recent approaches to highly multiplexed imaging generate high-plex data from sequential rounds of lower-plex imaging. These multiplexed imaging methods promise to yield precise molecular single-cell data and information on cellular neighborhoods and tissue architecture. However, attaining mosaic images with single-cell accuracy requires robust image stitching and image registration capabilities that are not met by existing methods. RESULTS: We describe the development and testing of ASHLAR, a Python tool for coordinated stitching and registration of 103 or more individual multiplexed images to generate accurate whole-slide mosaics. ASHLAR reads image formats from most commercial microscopes and slide scanners, and we show that it performs better than existing open-source and commercial software. ASHLAR outputs standard OME-TIFF images that are ready for analysis by other open-source tools and recently developed image analysis pipelines. AVAILABILITY AND IMPLEMENTATION: ASHLAR is written in Python and is available under the MIT license at https://github.com/labsyspharm/ashlar. The newly published data underlying this article are available in Sage Synapse at https://dx.doi.org/10.7303/syn25826362; the availability of other previously published data re-analyzed in this article is described in Supplementary Table S4. An informational website with user guides and test data is available at https://labsyspharm.github.io/ashlar/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Computational multiplex panel reduction to maximize information retention in breast cancer tissue microarrays.

Recent state-of-the-art multiplex imaging techniques have expanded the depth of information that can be captured within a single tissue sample by allowing for panels with dozens of markers. Despite this increase in capacity, space on the panel is still limited due to technical artifacts, tissue loss, and long imaging acquisition time. As such, selecting which markers to include on a panel is important, since removing important markers will result in a loss of biologically relevant information, but identifying redundant markers will provide a room for other markers. To address this, we propose computational approaches to determine the amount of shared information between markers and select an optimally reduced panel that captures maximum amount of information with the fewest markers. Here we examine several panel selection approaches and evaluate them based on their ability to reconstruct the full panel images and information within breast cancer tissue microarray datasets using cyclic immunofluorescence as a proof of concept. We show that all methods perform adequately and can re-capture cell types using only 18 of 25 markers (72% of the original panel size). The correlation-based selection methods achieved the best single-cell marker mean intensity predictions with a Spearman correlation of 0.90 with the reduced panel. Using the proposed methods shown here, it is possible for researchers to design more efficient multiplex imaging panels that maximize the amount of information retained with the limited number of markers with respect to certain evaluation metrics and architecture biases.

Evaluation of egg white hydrolysates on the hepatoprotective effect in vitro and in vivo.

The small molecule characteristics and nutritional value of egg white hydrolysates have been widely used. In the present study, in vitro and in vivo models were used to investigate the hepatoprotective effect of egg protein hydrolysate (EWH) by regulating the expression of antioxidant enzymes. The in vitro experiment results showed that 0.1, 0.5, and 1 mg/mL of EWH enhanced antioxidant activity in HepG2 cells by increased glutathione peroxidase (GPx) activity and reduced glutathione (GSH) levels. The in vivo experiment results showed that EWH (L) (38.5 mg/kg BW) and EWH (H) (385 mg/kg BW) alleviated carbon tetrachloride (CCl4)-induced hepatotoxicity in SD rats through reduced levels of serum aspartate aminotransferase (AST) alanine aminotransferase (ALT), and lipid peroxidation products malondialdehyde (MDA). In addition, EWH also ameliorates CCl4-induced hepatotoxicity in SD rats by increasing the antioxidant activity of GSH levels with a decrease in oxidized glutathione (GSSG) levels. Besides, EWH ameliorates liver tissue injuries by CCl4-induction. EWH has the highest glutamic acid in free amino acid composition, the second highest was aspartic acid, and the third was cystine, 204, 141, and 125 mg/100 g, respectively. These results suggest EWH has hepatoprotective potential through reduced lipid peroxidation products and enhanced antioxidant activity.

Cellular evasion strategies of Helicobacter pylori in regulating its intracellular fate.

Helicobacter pylori colonizes human stomach mucosa and its infection causes gastrointestinal diseases with variable severity. Bacterial infection stimulates autophagy, which is a part of innate immunity used to eliminate intracellular pathogens. Several intracellular bacteria have evolved multipronged strategies to circumvent this conserved system and thereby enhance their chance of intracellular survival. Nonetheless, studies on H. pylori have produced inconsistent results, showing either elevated or reduced clearance efficiency of intracellular bacteria through autophagy. In this review, we summarize recent studies on the mechanisms involved in autophagy induced by H. pylori and the fate of intracellular bacteria.

An experimental model for ovarian cancer: propagation of ovarian cancer initiating cells and generation of ovarian cancer organoids.

BACKGROUND: Ovarian cancer (OC) is the most lethal gynecological cancer due to the recurrence of drug-resistance. Cancer initiating cells (CICs) are proposed to be responsible for the aggressiveness of OC. The rarity and difficulty of in vitro long-term cultivation of CICs challenge the development of CIC-targeting therapeutics. Reprogramming cancer cells into induced cancer initiating cell (iCICs) could be an approach to solve these. Several inducible CICs have been acquired by activating the expression of stemness genes in different cancer cells. However, few reports have demonstrated the feasibility in OC. METHODS: Patients with primary OC receiving surgery were enrolled. Tumor tissue were collected, and OCT4, SOX2, and NANOG expressions were assessed by immunohistochemistry (IHC) staining to investigate the association of stemness markers with overall survival (OS). An high-grade serous ovarian cancer (HGSOC) cell line, OVCAR-3 was reprogrammed by transducing Yamanaka four factors OCT4, SOX2, KLF4 and MYC (OSKM) to establish an iOCIC model, iOVCAR-3-OSKM. CIC characteristics of iOVCAR-3-OSKM were evaluated by RT-PCR, sphere formation assay and animal experiments. Drug-resistance and migration ability were accessed by dye-efflux activity assay, MTT assay and migration assay. Gene profile was presented through RNA-sequencing. Lineage differentiation ability and organoid culture were determined by in vitro differentiation assays. RESULTS: In OC patients, the co-expression of multiple stem-related transcription factors (OCT4, SOX2, and NANOG) was associated with worse OS. iOVCAR-3-OSKM cells generated by reprogramming successfully exhibited stemness characteristics with strong sphere-forming and tumorigenesis ability. iOVCAR-3-OSKM cells also showed malignant potential with higher drug resistance to chemodrug, Paclitaxel (PTX) and migration ability. iOVCAR-3-OSKM was maintainable and expandable on feeder-dependent culture condition, it also preserved ovarian lineage differentiation abilities, which could well differentiate into OC cells with CK-7 and CA125 expressions and develop into an organoid mimic poor prognostic OC histological feature. CONCLUSIONS: The establishment of iOVCAR-3-OSKM not only allows us to fill the gap in the information on induced CICs in OC but also provides a potential strategy to develop personalized CICs and organoid models for treating OC in the near future.

Multi-scalar and multi-dimensional conceptions of social capital and mental health impacts after disaster: the case of Hurricane Harvey.

While much research investigates how social capital relates to mental health after disasters, less work employs a multi-scalar, multi-dimensional social capital framework. This study applies such a construct to an analysis of novel survey data of approximately 1,000 rural and urban Texans after Hurricane Harvey struck the United States in August 2017. On the individual level, it finds that greater social support is linked to fewer mental health impacts, but that greater civic and organisational engagement is connected to greater mental health impacts. At the community level, it finds that neither a density of bridging social capital organisations nor of bonding social capital organisations is associated with poorer mental health, although a greater number of bonding organisations is related to negative mental health impacts on rural residents. The paper concludes by focusing on how individual and community social capital relationships with mental health are contingent on measurement, scale, and rural or urban location.

Base-width modulation effects on the optoelectronic characteristics of n-ITO/p-NiO/n-ZnO heterojunction bipolar phototransistors.

ITO/NiO/ZnO npn heterojunction bipolar phototransistors (HBPTs) with various base widths are fabricated using a radio-frequency sputtering system. The effects of base-width modulation on the optoelectronic characteristics of the prepared HBPTs are studied. The dark current of HBPTs decreases with increasing base width because the injected electrons from the emitter are recombined in the wide base region. The photocurrent increases with decreasing base width, which is attributed to higher emitter-base injection efficiency. The responsivity increases with the collector-emitter voltage (VCE) in the HBPTs with a 100 nm base width, whereas the responsivity sharply decreases atVCE> 4 V for the HBPTs with a thinner base width (80 nm) due to the punch-through effect. In contrast, the responsivity approaches saturation at largeVCEfor HBPTs with a thicker base width (120 nm). The responsivity and detectivity decrease with increasing incident light intensity, which is caused by an increase in the base recombination loss. The HBPTs with a base width of 100 nm exhibits the largest responsivity and detectivity; their detectivity is higher than that of HBPTs with base widths of 80 and 120 nm by approximately two and three orders, respectively.

Staged surgery for advanced cardiac intimal sarcoma involving the right atrium and the inferior vena cava.

Intimal sarcomas simultaneously involving the right atrium and the inferior vena cava (IVC) are rare. We report an advanced cardiac intimal sarcoma in the right atrium of a 19-year-old man that was complicated by tumor-related IVC thrombosis. We initially performed partial tumor resection and vena cava thrombectomy to resolve the circulatory obstruction, because complete resection was difficult due to the invading malignancy and an unclear margin. The patient received adjuvant chemo- and radiotherapy along with anticoagulant therapy. After 3 months, the border of the residual sarcoma was clear, and the patient underwent a secondary complete sarcoma excision (including that of the right atrium) and a suprahepatic vena cava reconstruction. At the 2-year follow-up, there was no tumor recurrence. We conclude that aggressive treatment and a staged complete resection can lead to improved outcomes for advanced cardiac intimal sarcoma with poor prognosis.

Caries and Restoration Detection Using Bitewing Film Based on Transfer Learning with CNNs.

Caries is a dental disease caused by bacterial infection. If the cause of the caries is detected early, the treatment will be relatively easy, which in turn prevents caries from spreading. The current common procedure of dentists is to first perform radiographic examination on the patient and mark the lesions manually. However, the work of judging lesions and markings requires professional experience and is very time-consuming and repetitive. Taking advantage of the rapid development of artificial intelligence imaging research and technical methods will help dentists make accurate markings and improve medical treatments. It can also shorten the judgment time of professionals. In addition to the use of Gaussian high-pass filter and Otsu's threshold image enhancement technology, this research solves the problem that the original cutting technology cannot extract certain single teeth, and it proposes a caries and lesions area analysis model based on convolutional neural networks (CNN), which can identify caries and restorations from the bitewing images. Moreover, it provides dentists with more accurate objective judgment data to achieve the purpose of automatic diagnosis and treatment planning as a technology for assisting precision medicine. A standardized database established following a defined set of steps is also proposed in this study. There are three main steps to generate the image of a single tooth from a bitewing image, which can increase the accuracy of the analysis model. The steps include (1) preprocessing of the dental image to obtain a high-quality binarization, (2) a dental image cropping procedure to obtain individually separated tooth samples, and (3) a dental image masking step which masks the fine broken teeth from the sample and enhances the quality of the training. Among the current four common neural networks, namely, AlexNet, GoogleNet, Vgg19, and ResNet50, experimental results show that the proposed AlexNet model in this study for restoration and caries judgments has an accuracy as high as 95.56% and 90.30%, respectively. These are promising results that lead to the possibility of developing an automatic judgment method of bitewing film.

Detection of Dental Apical Lesions Using CNNs on Periapical Radiograph.

Apical lesions, the general term for chronic infectious diseases, are very common dental diseases in modern life, and are caused by various factors. The current prevailing endodontic treatment makes use of X-ray photography taken from patients where the lesion area is marked manually, which is therefore time consuming. Additionally, for some images the significant details might not be recognizable due to the different shooting angles or doses. To make the diagnosis process shorter and efficient, repetitive tasks should be performed automatically to allow the dentists to focus more on the technical and medical diagnosis, such as treatment, tooth cleaning, or medical communication. To realize the automatic diagnosis, this article proposes and establishes a lesion area analysis model based on convolutional neural networks (CNN). For establishing a standardized database for clinical application, the Institutional Review Board (IRB) with application number 202002030B0 has been approved with the database established by dentists who provided the practical clinical data. In this study, the image data is preprocessed by a Gaussian high-pass filter. Then, an iterative thresholding is applied to slice the X-ray image into several individual tooth sample images. The collection of individual tooth images that comprises the image database are used as input into the CNN migration learning model for training. Seventy percent (70%) of the image database is used for training and validating the model while the remaining 30% is used for testing and estimating the accuracy of the model. The practical diagnosis accuracy of the proposed CNN model is 92.5%. The proposed model successfully facilitated the automatic diagnosis of the apical lesion.

Validation of SV2A-Targeted PET Imaging for Noninvasive Assessment of Neuroendocrine Differentiation in Prostate Cancer.

Neuroendocrine prostate cancer (NEPC) is an aggressive and lethal variant of prostate cancer (PCa), and it remains a diagnostic challenge. Herein we report our findings of using synaptic vesicle glycoprotein 2 isoform A (SV2A) as a promising marker for positron emission tomography (PET) imaging of neuroendocrine differentiation (NED). The bioinformatic analyses revealed an amplified SV2A gene expression in clinical samples of NEPC versus castration-resistant PCa with adenocarcinoma characteristics (CRPC-Adeno). Importantly, significantly upregulated SV2A protein levels were found in both NEPC cell lines and tumor tissues. PET imaging studies were carried out in NEPC xenograft models with 18F-SynVesT-1. Although 18F-SynVesT-1 is not a cancer imaging agent, it showed a significant uptake level in the SV2A+ tumor (NCI-H660: 0.70 ± 0.14 %ID/g at 50-60 min p.i.). The SV2A blockade resulted in a significant reduction of tumor uptake (0.25 ± 0.03 %ID/g, p = 0.025), indicating the desired SV2A imaging specificity. Moreover, the comparative PET imaging study showed that the DU145 tumors could be clearly visualized by 18F-SynVesT-1 but not 68Ga-PSMA-11 nor 68Ga-DOTATATE, further validating the role of SV2A-targeted imaging for noninvasive assessment of NED in PCa. In conclusion, we demonstrated that SV2A, highly expressed in NEPC, can serve as a promising target for noninvasive imaging evaluation of NED.

Hyperfluorescence Imaging of Kidney Cancer Enabled by Renal Secretion Pathway Dependent Efflux Transport.

Renal tubular secretion is an active efflux pathway for the kidneys to remove molecules but has yet to be used to enhance kidney cancer targeting. We report indocyanine green (ICG) conjugated with a 2100 Da PEG molecule (ICG-PEG45) as a renal-tubule-secreted near-infrared-emitting fluorophore for hyperfluorescence imaging of kidney cancers, which cannot be achieved with hepatobiliary- and glomerular-clearable ICG. This pathway-dependent targeting of kidney cancer arises from the fact that the secretion pathway enables ICG-PEG45 to be effectively effluxed out of normal proximal tubules through P-glycoprotein transporter while being retained in cancerous kidney tissues with low P-glycoprotein expression. Tuning elimination pathways and utilizing different efflux kinetics of medical agents in normal and diseased tissues could be a new strategy for tackling challenges in disease diagnosis and treatments that cannot be addressed with passive and ligand-receptor-mediated active targeting.