Identification of root canal morphology in fused-rooted mandibular second molars from X-ray images based on deep learning.

Understanding the intricate anatomical morphology of fused-rooted mandibular second molars (MSMs) is essential for root canal treatment. The present study utilized a deep learning approach to identify the three-dimensional root canal morphology of MSMs from two-dimensional X-ray images. METHODS: A total of 271 fused-rooted MSMs were included in the study. Micro-computed tomography (micro-CT) reconstruction images and two-dimensional X-ray projection images were obtained. The ground truth of three-dimensional root canal morphology was determined through micro-CT images, which were classified into merging, symmetrical, and asymmetrical types. To amplify the X-ray image dataset, traditional augmentation techniques from the python package Augmentor and a multi-angle projection method were employed. Identification of root canal morphology was conducted using the pre-trained VGG19, ResNet18, ResNet50, and EfficientNet-b5 on X-ray images. The classification results from convolutional neural networks (CNNs) were then compared with those performed by endodontic residents. RESULTS: The multi-angle projection augmentation method outperformed the traditional approach in all CNNs except for EfficientNet-b5. ResNet18 combined with the multi-angle projection method outperformed all other combinations, with an overall accuracy of 79.25%. In specific classifications, accuracies of 81.13%, 86.79%, and 90.57% were achieved for merging, symmetrical, and asymmetrical types, respectively. Notably, CNNs surpassed endodontic residents in classification performance; the average accuracy for endodontic residents were only 60.38% (P< 0.05). CONCLUSIONS: CNNs were more effective than endodontic residents in identifying the three-dimensional root canal morphology of MSMs. The result indicates that CNNs possess the capacity to employ two-dimensional images effectively in aiding three-dimensional diagnoses.

Classification of Caries Based on CBCT: A Deep Learning Network Interpretability Study.

This study aimed to create a caries classification scheme based on cone-beam computed tomography (CBCT) and develop two deep learning models to improve caries classification accuracy. A total of 2713 axial slices were obtained from CBCT images of 204 carious teeth. Both classification models were trained and tested using the same pretrained classification networks on the dataset, including ResNet50_vd, MobileNetV3_large_ssld, and ResNet50_vd_ssld. The first model was used directly to classify the original images (direct classification model). The second model incorporated a presegmentation step for interpretation (interpretable classification model). Performance evaluation metrics including accuracy, precision, recall, and F1 score were calculated. The Local Interpretable Model-agnostic Explanations (LIME) method was employed to elucidate the decision-making process of the two models. In addition, a minimum distance between caries and pulp was introduced for determining the treatment strategies for type II carious teeth. The direct model that utilized the ResNet50_vd_ssld network achieved top accuracy, precision, recall, and F1 score of 0.700, 0.786, 0.606, and 0.616, respectively. Conversely, the interpretable model consistently yielded metrics surpassing 0.917, irrespective of the network employed. The LIME algorithm confirmed the interpretability of the classification models by identifying key image features for caries classification. Evaluation of treatment strategies for type II carious teeth revealed a significant negative correlation (p < 0.01) with the minimum distance. These results demonstrated that the CBCT-based caries classification scheme and the two classification models appeared to be acceptable tools for the diagnosis and categorization of dental caries.

Pickering emulsion emulsified using novel cellulose nanofibers significantly lowers the lipid release rate and cellular absorption.

A Pickering emulsion is an emulsion system stabilized by solid particles and represents a promising candidate for emulsifying lipids. Cellulose nanofibers (CNFs) have excellent ability to control the lipid release rate. This study aims to find the optimal formulation for a nanocellulose-stabilized Pickering emulsion that is the most effective in reducing the lipid release rate. The Pickering emulsion was prepared by homogenizing pretreated nanocellulose with medium-chain triglycerides using high-speed and ultrasonic homogenizers. The results show that the Pickering emulsion with 0.709% nanocellulose and 30.6% medium-chain fatty acid content yielded an average particle size of approximately 2.5 µm, which is the most stable and effective in reducing the amount of the lipids released. The nanocellulose Pickering emulsion formulation developed in this study forms a significant foundation for future research and applications regarding the use of nanotechnology and Pickering emulsions to maintain the balance between one's health and the desirable flavor of fat.

Prediction of trends in unfavorable prognosis in patients with acute ischemic stroke according to low left ventricular ejection fraction levels.

As few studies have reported the impact of lower left ventricular ejection fraction (LVEF) on the prognosis of acute ischemic stroke (AIS) patients, we aimed to explore this through a retrospective cohort study and a meta-analysis. A total of 283 AIS patients receiving intravenous thrombolysis at the Third Affiliated Hospital of Wenzhou Medical University between 2016 and 2019 were enrolled and divided into three groups based on LVEF tertiles. The logistic regression model estimated the association between LVEF and the three-month AIS prognosis. After adjusting for confounding factors, patients in tertile 3 exhibited an increased risk of poor functional outcome and mortality [odds ratio (OR), 2.656 (95% CI: 1.443-4.889); OR, 7.586 (95% CI: 2.102-27.375)]. A systematic search of PubMed, EMBASE and Cochrane Library was performed. Our meta-analysis revealed that LVEF < 40% was significantly associated with poor functional outcome [OR 1.94 (95% CI: 1.08-3.50)], mortality [OR 3.69 (95% CI: 1.22-11.11)], as well as LVEF < 55% [OR 1.68 (95% CI: 1.22-2.32); 2.27 (95% CI: 1.30-3.96)], respectively. A decreased LVEF could predict an inferior prognosis for AIS; therefore, it could aid in clinical decision-making in this patient population.

Comparative study of Fe(II)/sulfite, Fe(II)/PDS and Fe(II)/PMS for p-arsanilic acid treatment: Efficient organic arsenic degradation and contrasting total arsenic removal.

As a widely used feed additives, p-arsanilic acid (p-AsA) frequently detected in the environment poses serious threats to aquatic ecology and water security due to its potential in releasing more toxic inorganic arsenic. In this work, the efficiency of Fe(II)/sulfite, Fe(II)/PDS and Fe(II)/PMS systems in p-AsA degradation and simultaneous arsenic removal was comparatively investigated for the first time. Efficient p-AsA abatement was achieved in theses Fe-based systems, while notable discrepancy in total arsenic removal was observed under identical acidic condition. By using chemical probing method, quenching experiments, isotopically labeled water experiments, p-AsA degradation was ascribed to the combined contribution of high-valent Fe(IV) and SO4•-in these Fe(II)-based system. In particular, the relative contribution of Fe(IV) and SO4•- in the Fe(II)/sulfite system was highly dependent on the molar ratio of [Fe(II)] and [sulfite]. Negligible arsenic removal was observed in the Fe(II)/sulfite and Fe(II)/PDS systems, while ∼80% arsenic was removed in the Fe(II)/PMS system under identical acidic condition. This interesting phenomenon was due to that ferric precipitation only occurred in the Fe(II)/PMS system. As(V) was further removed via adsorption onto the iron precipitate or the formation of ferric arsenate-sulfate compounds, which was confirmed by particle diameter measurements, fourier transform infrared spectroscopy and X-ray photoelectron spectroscopy. Through tuning solution pH, complete removal of total arsenic could achieve in all three systems. Among these three Fe-based technologies, the hybrid oxidation-coagulation Fe(II)/PMS system demonstrated potential superiority for arsenic immobilization by not requiring pH adjustment for coagulation and facilitating the in-situ generation of ferric arsenate-sulfate compounds with comparably low solubility levels like scorodite. These findings would deepen the understanding of these three Fe-based Fenton-like technologies for decontamination in water treatment.

Association of nutritional screening tools with 6-month outcomes in ischemic stroke patients: A retrospective study.

OBJECTIVE: Nutritional screening tools based on laboratory examinations are relatively objective and available indicators. However, few studies have investigated whether malnutrition severity might be associated with adverse outcomes at the platform recovery period of 6 mo and differentiated in acute ischemic stroke patients with or without intravenous thrombolysis. Therefore, we assessed the association between malnutrition and 6-mo outcomes in both intravenous thrombolysis and non-intravenous thrombolysis patients. METHODS: We retrospectively recruited 138 acute ischemic stroke patients who received intravenous thrombolysis and 311 who did not. The Geriatric Nutritional Risk Index, prognostic nutritional index, and Controlling Nutritional Status were used to assess nutritional status. The concordance between the 3 malnutrition screening tools was investigated with the κ statistic. Subgroups analyses were conducted to assess the correlation between malnutrition and functional outcomes in intravenous thrombolysis and non-intravenous thrombolysis patients. RESULTS: A total of 17 (6.44%) patients were suffering from malnutrition, as indicated by the Geriatric Nutritional Risk Index, prognostic nutritional index, and Controlling Nutritional Status jointly. Moderate-severe malnutrition evaluated by the Geriatric Nutritional Risk Index was significantly associated with poor functional outcome (odds ratio = 4.074; P = 0.003). Patients in the good functional outcome group (modified Rankin scale scores = 0 to 2) had a higher proportion of intravenous thrombolysis treatment (32.79% versus 21.25%; P = 0.043). Furthermore, subgroup analyses found no significant interactions between malnourished levels and intravenous thrombolysis treatment (P interaction > 0.05). CONCLUSION: The Geriatric Nutritional Risk Index, over ≤24 h, compared with the prognostic nutritional index and Controlling Nutritional Status, provided timely signals to improve acute ischemic stroke patients' nutritional status. Also, nutritional status might not lead todifferent 6-mo outcomes, whether or not patients received intravenous thrombolysis treatment.

Regioselective Hydrodeoxygenation of α-Diketones with Phosphites under Visible-Light Catalysis.

Novel regioselective hydrodeoxygenation of α-diketones with phosphites as the deoxygenation reagent was realized via visible-light photoredox catalysis. Broad substrate scope and high functional group compatibility were obtained. Unsymmetric α-diketones were selectively reduced at the carbonyls of higher electrophilicity. This unique regioselectivity compared with available methods makes it a practical complementary approach for the monohydrodeoxygenation of α-diketones.

Identification, molecular characterization and phylogenetic analysis of a novel nucleorhabdovirus infecting Paris polyphylla var. yunnanensis.

A novel betanucleorhabdovirus infecting Paris polyphylla var. yunnanensis, tentatively named Paris yunnanensis rhabdovirus 1 (PyRV1), was recently identified in Yunnan Province, China. The infected plants showed vein clearing and leaf crinkle at early stage of infection, followed by leaf yellowing and necrosis. Enveloped bacilliform particles were observed using electron microscopy. The virus was mechanically transmissible to Nicotiana bethamiana and N. glutinosa. The complete genome of PyRV1 consists of 13,509 nucleotides, the organization of which was typical of rhabdoviruses, containing six open reading frames encoding proteins N-P-P3-M-G-L on the anti-sense strand, separated by conserved intergenic regions and flanked by complementary 3'-leader and 5'-trailer sequences. The genome of PyRV1 shared highest nucleotide sequence identity (55.1%) with Sonchus yellow net virus (SYNV), and the N, P, P3, M, G, and L proteins showed 56.9%, 37.2%, 38.4%, 41.8%, 56.7%, and 49.4% amino acid sequence identities with respective proteins of SYNV, suggesting RyRV1 belongs to a new species of the genus Betanucleorhabdovirus.

Improved Mask R-CNN Multi-Target Detection and Segmentation for Autonomous Driving in Complex Scenes.

Vision-based target detection and segmentation has been an important research content for environment perception in autonomous driving, but the mainstream target detection and segmentation algorithms have the problems of low detection accuracy and poor mask segmentation quality for multi-target detection and segmentation in complex traffic scenes. To address this problem, this paper improved the Mask R-CNN by replacing the backbone network ResNet with the ResNeXt network with group convolution to further improve the feature extraction capability of the model. Furthermore, a bottom-up path enhancement strategy was added to the Feature Pyramid Network (FPN) to achieve feature fusion, while an efficient channel attention module (ECA) was added to the backbone feature extraction network to optimize the high-level low resolution semantic information graph. Finally, the bounding box regression loss function smooth L1 loss was replaced by CIoU loss to speed up the model convergence and minimize the error. The experimental results showed that the improved Mask R-CNN algorithm achieved 62.62% mAP for target detection and 57.58% mAP for segmentation accuracy on the publicly available CityScapes autonomous driving dataset, which were 4.73% and 3.96%% better than the original Mask R-CNN algorithm, respectively. The migration experiments showed that it has good detection and segmentation effects in each traffic scenario of the publicly available BDD autonomous driving dataset.

Predicting the Activity of Oral Lichen Planus with Glycolysis-related Molecules: A Scikit-learn-based Function.

OBJECTIVE: Oral lichen planus (OLP) is one of the most common oral mucosa diseases, and is mainly mediated by T lymphocytes. The metabolic reprogramming of activated T cells has been shown to transform from oxidative phosphorylation to aerobic glycolysis. The present study investigated the serum levels of glycolysis-related molecules (lactate dehydrogenase, LDH; pyruvic acid, PA; lactic acid, LAC) in OLP, and the correlation with OLP activity was assessed using the reticular, atrophic and erosive lesion (RAE) scoring system. METHODS: Univariate and multivariate linear regression functions based on scikit-learn were designed to predict the RAE scores in OLP patients, and the performance of these two machine learning functions was compared. RESULTS: The results revealed that the serum levels of PA and LAC were upregulated in erosive OLP (EOLP) patients, when compared to healthy volunteers. Furthermore, the LDH and LAC levels were significantly higher in the EOLP group than in the nonerosive OLP (NEOLP) group. All glycolysis-related molecules were positively correlated to the RAE scores. Among these, LAC had a strong correlation. The univariate function that involved the LAC level and the multivariate function that involved all glycolysis-related molecules presented comparable prediction accuracy and stability, but the latter was more time-consuming. CONCLUSION: It can be concluded that the serum LAC level can be a user-friendly biomarker to monitor the OLP activity, based on the univariate function developed in the present study. The intervention of the glycolytic pathway may provide a potential therapeutic strategy.

Three birds, one stone: Disinfecting and turning waste medical masks into valuable carbon dots for sodium hydrosulfite and Fe3+ detection enabled by a simple hydrothermal treatment.

Disposable medical masks are widely used to prevent respiratory infections due to their ability to block virus particles from entering the human body. The coronavirus disease 2019 (COVID-19) pandemic highlighted the importance of medical masks, leading to their widespread use around the world. However, a large number of disposable medical masks have been discarded, some carrying viruses, which have posed a grave threat to the environment and people's health, as well as wasting resources. In this study, a simple hydrothermal method was used for the disinfection of waste medical masks under high-temperature conditions as well as for their transformation into high-value-added carbon dots (CDs, a new type of carbon nanomaterial) with blue-emissive fluorescence, without high energy consumption or environmental pollution. Moreover, the mask-derived CDs (m-CDs) could not only be used as fluorescent probes for sensing sodium hydrosulfite (Na2S2O4), which is widely used in the food and textile industries but is seriously harmful to human health, but also be used for detecting Fe3+ which is harmful to the environment and human health due to its wide use in industries.

Complete genome sequence analysis of a new potyvirus isolated from Paris polyphylla var. yunnanensis.

The complete genome sequence of a new potyvirus from Paris polyphylla var. yunnanensis was determined. Its genomic RNA consists of 9571 nucleotides (nt), excluding the 3'-terminal poly(A) tail, containing the typical open reading frame (ORF) of potyviruses and encoding a putative large polyprotein of 3061 amino acids. The virus shares 54.20%-59.60% nt sequence identity and 51.80%-57.90% amino acid sequence identity with other potyviruses. Proteolytic cleavage sites and conserved motifs of potyviruses were identified in the polyprotein and within individual proteins. Phylogenetic analysis indicated that the virus was most closely related to lily yellow mosaic virus. The results suggest that the virus should be classified as a member of a novel species within the genus Potyvirus, and we have tentatively named this virus "Paris yunnanensis mosaic chlorotic virus" (PyMCV).

Complete genome sequence of polygonatum mosaic-associated virus 1, a novel member of the genus Potyvirus in China.

The complete genome sequence of a putative novel potyvirus, tentatively named "polygonatum mosaic-associated virus 1" (PMaV1), was sequenced from naturally infected Polygonatum cyrtonema Hua in China. PMaV1 has a typical genome organization of potyviruses with a single large open reading frame (nt 119-9448) that encodes a 3109-aa polyprotein that is predicted to be cleaved into 10 mature proteins by virus-encoded proteases. Pairwise comparisons revealed that PMaV1 shares 71.50% complete genome sequence identity with Polygonatum kingianum virus 4 and 80.00% amino acid sequence identity with Polygonatum kingianum virus 3 of the genus Potyvirus. Phylogenetic analysis indicated that PMaV1 clustered with other potyviruses and that it was most closely related to Polygonatum kingianum virus 3 and Polygonatum kingianum virus 4. These results suggest that PMaV1 is a new member of the genus Potyvirus of the family Potyviridae (Nucleotide sequence data reported are available in the GenBank databases under the accession number OP380926).

Porcine Circovirus Type 2 Hijacks Host IPO5 to Sustain the Intracytoplasmic Stability of Its Capsid Protein.

Nuclear entrance and stability of porcine circovirus type 2 (PCV2), the smallest virus in mammals, are crucial for its infection and replication. However, the mechanisms are not fully understood. Here, we found that the PCV2 virion maintains self-stability via the host importin 5 (IPO5) during infection. Coimmunoprecipitation combined with mass spectrometry and glutathione S-transferase pulldown assays showed that the capsid protein (Cap) of PCV2 binds directly to IPO5. Fine identification demonstrated that the N-terminal residue arginine24 of Cap is the most critical to efficient binding to the proline709 residue of IPO5. Detection of replication ability further showed that IPO5 supports PCV2 replication by promoting the nuclear import of incoming PCV2 virions. Knockdown of IPO5 delayed the nuclear transport of incoming PCV2 virions and significantly decreased the intracellular levels of overexpressed PCV2 Cap, which was reversed by treatment with a proteasome inhibitor or by rescuing IPO5 expression. Cycloheximide treatment showed that IPO5 increases the stability of the PCV2 Cap protein. Taken together, our findings demonstrated that during infection, IPO5 facilitates PCV2 replication by directly binding to the nuclear localization signal of Cap to block proteasome degradation. IMPORTANCE Circovirus is the smallest virus to cause immune suppression in pigs. The capsid protein (Cap) is the only viral structural protein that is closely related to viral infection. The nuclear entry and stability of Cap are necessary for PCV2 replication. However, the molecular mechanism maintaining the stability of Cap during nuclear trafficking of PCV2 is unknown. Here, we report that IPO5 aggregates within the nuclear periphery and combines with incoming PCV2 capsids to promote their nuclear entry. Concurrently, IPO5 inhibits the degradation of newly synthesized Cap protein, which facilitates the synthesis of virus proteins and virus replication. These findings highlight a mechanism whereby IPO5 plays a dual role in PCV2 infection, which not only enriches our understanding of the virus replication cycle but also lays the foundation for the subsequent development of antiviral drugs.

First report of Impatiens necrotic spot orthotospovirus infecting Tulbaghia violacia Harv. in China.

Tulbaghia violacea Harv. indigenous to southern African countries, is an herbaceous perennial bulbous plant belonging to the family Amaryllidaceae. It is a popular garden plant in China. This attractive plant is traditionally used as medicine and repellent (Kubec et al. 2002; Moodley et al. 2015). In June 2021, T. violacea plants showing typical tospovirus-like symptoms of chlorotic rings patterns, were found at the campus of Yunnan University of Chinese Medicine (Fig.S1). Disease incidence was about 11.0% during the field survey. Total RNA was extracted from symptomatic leaves of T. violacea plants using the TRIzol reagent (ambio, Carlsbad, CA). Reverse transcription (RT)-PCR was conducted to identify the virus using RNA extract as the template. The degenerate primers (dTospo-F2 and dTospo-R2) (Huang et al. 2018) were used to amplify the conserved regions of the orthotospoviral L RNA sequences. No amplification was obtained from extracts of two asymptomatic plants. The amplicons from four symptomatic samples were cloned into the pMD19-T vector (TaKaRa) and sequenced (three clones for each amplicon) by Tsingke (Shanghai, China). The obtained DNA fragments were determined to be 312 bp. The sequences from four symptomatic samples were identical (GenBank acc.no. OK258285) and shared the highest nucleotide identities (98.0%) with a corresponding sequence of segment L of impatiens necrotic spot virus (INSV) isolated (GQ336991) from Phalaenopsis amabilis in Yunnan province, China. To further confirm the INSV infection to T. violacea, the samples were analyzed with the specific primers for the N, NSs and NSm genes of INSV (Table S1), respectively. Amplicons of the expected size, 789 bp, 1344 bp and 912 bp, were produced, respectively. Amplicons were cloned and sequenced. The 789-bp N (ON529554) and 1344-bp NSs (ON529554) gene sequences had 99.1% and 99.3% nucleotide identities with the corresponding region of previously described INSV Phalenopsis isolate (GQ336989), respectively. The 912-bp NSm (ON529553) gene sequence shared 99.5% nucleotide identity with the corresponding region of INSV Phalenopsis isolate (GQ336990). Metavirome and Sanger sequencing were used to complete the genome of INSV from T. violacea. The leaves of the symptomatic sample were used to construct an rRNA-depleted library using Nextera XT reagents (Illumina, San Diego, CA). The library was subjected to RNA-Seq a NovaSeq 6000 platform (Illumina, San Diego, CA). A total of 33,193,233 quality-filtered reads were obtained using BBMAP (https://github.com/BioInfoTools/BBMapBBMap - Bushnell B. - sourceforge.net/projects/bbmap/). Among 161052 reads mapped to virus sequences, 151407 reads (read ratios 94.0%) were mapped to INSV. Three complete segments of INSV genome were determined to 8,778 nt (L segment, Acc. No. ON529552), 4,958 nt (M segment, Acc. No. ON529553), and 2,983 nt (S segment, Acc. No. ON529554) in length. These segments were validated by RT-PCR and Sanger sequencing. Three segments share nucleotide sequence identities of 99.6%, 99.3% and 98.9% with the L (GQ336991), M (GQ336990) and S segments (GQ336989) of INSV Phalenopsis isolate, respectively. The results of sequence comparisons showed no evidence of reassortment between INSV and another orthotospovirus. There was a report of tomato spotted wilt virus infecting T. violacea in Florida, USA (Dey et al. 2019). No other virus infecting T. violacea was reported. INSV has been reported to infect several economically important crops including Phalenopsis, pepper etc. in China (Chen et al. 2016). INSV-infected T. violacea not only losses landscaping value but also plays an important intermedia host role in the spread of INSV. Additional surveys and evaluation will be needed to understand the potential medicinal effect of this virus on this plant. To our knowledge, this is first report of INSV in T. violacea.

High-fidelity carbon dots polarity probes: revealing the heterogeneity of lipids in oncology.

Polarity is an integral microenvironment parameter in biological systems closely associated with a multitude of cellular processes. Abnormal polarity variations accompany the initiation and development of pathophysiological processes. Thus, monitoring the abnormal polarity is of scientific and practical importance. Current state-of-the-art monitoring techniques are primarily based on fluorescence imaging which relies on a single emission intensity and may cause inaccurate detection due to heterogeneous accumulation of the probes. Herein, we report carbon dots (CDs) with ultra-sensitive responses to polarity. The CDs exhibit two linear relationships: one between fluorescence intensity and polarity and the other between polarity and the maximum emission wavelength. The emission spectrum is an intrinsic property of the probes, independent of the excitation intensity or probe concentration. These features enable two-color imaging/quantitation of polarity changes in lipid droplets (LDs) and in the cytoplasm via in situ emission spectroscopy. The probes reveal the polarity heterogeneity in LDs which can be applied to make a distinction between cancer and normal cells, and reveal the polarity homogeneity in cytoplasm.

Mechanisms for carbon dots-based chemosensing, biosensing, and bioimaging: A review.

Due to the favorable biocompatibility, photostability and fluorescence emissions, carbon dots (CDs) are being widely investigated as fluorescent probes. Current CD-based fluorescent probe designs depend largely on conventional fluorescence sensing mechanisms, for e.g. the inner filter effect, photoinduced electron transfer, and Förster resonance energy transfer. Although these mechanisms have been successful, it is still desirable to introduce new sensing mechanisms. In recent years, emerging mechanisms such as aggregation-induced emission, hydrogen-bond induced emission, and intramolecular charge transfer have been developed for CD-based probes. This review summarizes both conventional and emerging mechanisms, and discuss CDs in the context of chemosensing, biosensing, and bioimaging. We provide an outlook for several other mechanisms such as CN isomerization, the short-wavelength inner filter technique, excited-state intramolecular proton transfer, and twisted intramolecular charge transfer, which have been applied to organic fluorescent probes design but not as much in CD-based sensing systems. We envision that this review will provide insights that inspire further development of CD-based fluorescent probes as for biological applications.

Admission Random Blood Glucose, Fasting Blood Glucose, Stress Hyperglycemia Ratio, and Functional Outcomes in Patients With Acute Ischemic Stroke Treated With Intravenous Thrombolysis.

BACKGROUND: Stress hyperglycemia ratio (SHR), calculated as glucose/glycated hemoglobin, has recently been developed for assessing stress hyperglycemia and could provide prognostic information for various diseases. However, calculating SHR using random blood glucose (RBG) drawn on admission or fasting blood glucose (FBG) could lead to different results. This study intends to evaluate the association between SHR and functional outcomes in patients with acute ischemic stroke (AIS) with recombinant tissue plasminogen activator (r-tPA) intravenous thrombolysis. METHODS: Data from 230 patients with AIS following thrombolytic therapy with r-tPA in the Third Affiliated Hospital of Wenzhou Medical University from April 2016 to April 2019 were retrospectively reviewed. SHR1 was defined as [RBG (mmol/L)]/[HbA1c (%)] and SHR2 was defined as [FBG (mmol/L)]/[HbA1c (%)]. The outcomes included early neurological improvement (ENI), poor function defined as a modified Rankin Scale score (mRS) of 3-6, and all-cause death in 3 months. Multivariable logistic regression was performed to estimate the association between SHR and adverse outcomes. RESULTS: After adjustment for possible confounders, though patients with AIS with higher SHR1 tend to have a higher risk of poor outcome and death and unlikely to develop ENI, these did not reach the statistical significance. In contrast, SHR2 was independently associated with poor functional outcome (per 0.1-point increases: odds ratios (OR) = 1.383 95% CI [1.147-1.668]). Further adjusted for body mass index (BMI), triglyceride-glucose index (TyG), and diabetes slightly strengthen the association between SHR (both 1 and 2) and adverse outcomes. In subgroup analysis, elevated SHR1 is associated with poor functional outcomes (per 0.1-point increases: OR = 1.246 95% CI [1.041-1.492]) in non-diabetic individuals and the association between SHR2 and the poor outcomes was attenuated in non-cardioembolic AIS. CONCLUSION: SHR is expected to replace random or fasting glucose concentration as a novel generation of prognostic indicator and a potential therapeutic target.

Quantitative Structure-Activity Relationship Enables the Rational Design of Lipid Droplet-Targeting Carbon Dots for Visualizing Bisphenol A-Induced Nonalcoholic Fatty Liver Disease-like Changes.

Lipid droplets (LDs) play indispensable roles in numerous physiological processes; hence, the visualization of the dynamic behavior of LDs in living cells is of great importance in physiological and pathological research. In this article, the quantitative structure-activity relationship (QSAR) theory was employed as an effective design strategy for the development of organelle-targeting carbon dots (CDs). The lipid-water partition coefficient (Log P) of the QSAR was adopted as a key parameter to predict the cellular uptake and subcellular localization of CDs in live cells. By carefully adjusting the molecular structure and lipophilicity of the precursors, p-phenylenediamine-derivatized nucleolus-targeting hydrophilic CDs were converted to lipophilic CDs [4-piperidinoaniline (PA) CDs] with inherent LD-targeting performance. The PA CDs were able to indicate the dynamic behavior of LDs and visualize the changes of bisphenol A-induced nonalcoholic fatty liver disease-like changes in a cellular model. The QSAR strategy of CDs demonstrated here is expected to be increasingly exploited as a powerful design tool for developing various organelle-targeting CDs.

Neutrophil-Related Ratios Predict the 90-Day Outcome in Acute Ischemic Stroke Patients After Intravenous Thrombolysis.

BACKGROUND AND PURPOSE: Mounting researches have illuminated that the neutrophil-related ratios were related to the prognosis of acute ischemic stroke (AIS). However, few have compared their predictive value and accuracy. To make such comparison and identify the best indicator on the 90-day outcome, we investigated biomarkers including neutrophil ratio (Nr), neutrophil count (Nc), lymphocyte (L), neutrophil-to-lymphocyte ratio (NLR), platelet (P or PLT), platelet-to-neutrophil ratio (PNR), NLR-to-platelet ratio (NLR/PLT), eosinophil (E), neutrophil-to-eosinophil ratio (NER), monocyte (M), and monocyte-to-neutrophil ratio (MNR). METHODS: This retrospective study recruited 283 AIS and 872 healthy controls (HCs) receiving intravenous thrombolysis (IVT). Blood samples were collected after 24 h of admission before IVT. Propensity Score Matching (PSM) was used to explore whether these ratios differentiated AIS and HCs. We applied univariate and multivariate analyses to evaluate the prediction effect of these ratios separately or added in the model and figured out a clinical prediction model. To estimate the discrimination and calibration of the new models, the receiver operating characteristics (ROC) curve analysis, DeLong method, and likelihood ratio test (LR test) were utilized. RESULTS: PSM showed that Nr, Nc, NLR, P, PNR, NLR/PLT, NER, and MNR facilitates the differentiation of the HCs and AIS. Among the eight biomarkers, PNR and MNR could differentiate the 90-day outcome, and it was found out that PNR performed better. Univariate regression analysis demonstrated that PNR was the only independent predictor which needs no adjustment. Besides, the multivariate regression analysis, Delong method, and LR test indicated that among the neutrophil-related ratios, NLR, PNR, NLR/PLT, NER, and MNR exerted little influence on the discrimination but could enhance the calibration of the base model, and NER proved to work best. CONCLUSION: Low PNR was the best indicator among the neutrophil-related ratios tin predicting a poor 90-day outcome of AIS patients. Moreover, high NER performed best when predicting the 90-day outcome to improve the calibration of the base model.