The ocular immunological alterations in the process of high-risk corneal transplantation rejection.

PURPOSE: This study aims to reveal the immunopathogenesis of the high-risk corneal transplantation using a comparative proteomic approach. METHODS: The immunological properties of ocular tissues (including corneal grafts, aqueous humour, and iris-ciliary body) were analysed using a high-risk rabbit corneal transplantation model employing a comparative proteomic approach. RESULTS: The corneal grafts revealed a dramatic increase in the immune response both at the early (postoperative day 7) and rejection stages, along with the appearance of transplantation stress-induced cellular senescence in the early stage. The aqueous humour (AH) displayed persistent pathological alterations, indicated by the significant enrichment of complement and coagulation cascades pathway in the early stage and interleukin (IL)-17 signalling pathway in the rejection stage. More surprisingly, the pronounced elevation of immune response was also observed in the iris-ciliary body (I-CB) tissues at the early and rejection stages. The enriched immune-related pathways were associated with antigen processing and presentation, complement and coagulation cascades, and IL-17 signalling pathway. Furthermore, proteomic analysis revealed that the implantation of Cyclosporine A drug delivery system (CsA-DDS) into the anterior chamber obviously mitigated corneal transplantation rejection by inhibiting immunoreaction both in the corneal grafts and I-CB tissues. CONCLUSION: The results highlighted the involvement of intraocular immunity both in the grafts and I-CB tissues during corneal transplantation rejection, further suggesting the anterior chamber as an optimal drug-delivery site for its treatment.

NEAT1 Deficiency Promotes Corneal Epithelial Wound Healing by Activating cAMP Signaling Pathway.

Purpose: This study aimed to investigate the role of the long non-coding RNA (lncRNA) NEAT1 in corneal epithelial wound healing in mice. Methods: The central corneal epithelium of wild-type (WT), MALAT1 knockout (M-KO), NEAT1 knockout (N-KO), and NEAT1 knockdown (N-KD) mice was scraped to evaluate corneal epithelial and nerve regeneration rates. RNA sequencing of the corneal epithelium from WT and N-KO mice was performed 24 hours after debridement to determine the role of NEAT1. Quantitative PCR (qPCR) and ELISA were used to confirm the bioinformatic analysis. The effects of the cAMP signaling pathway were evaluated in N-KO and N-KD mice using SQ22536, an adenylate cyclase inhibitor. Results: Central corneal epithelial debridement in N-KO mice significantly promoted epithelial and nerve regeneration rates while suppressing inflammatory cell infiltration. Furthermore, the expression of Atp1a2, Ppp1r1b, Calm4, and Cngb1, which are key components of the cAMP signaling pathway, was upregulated in N-KO mice, indicative of its activation. Furthermore, the cAMP pathway inhibitor SQ22536 reversed the accelerated corneal epithelial wound healing in both N-KO and N-KD mice. Conclusions: NEAT1 deficiency contributes to epithelial repair during corneal wound healing by activating the cAMP signaling pathway, thereby highlighting a potential therapeutic strategy for corneal epithelial diseases.

Predicting very early recurrence in intrahepatic cholangiocarcinoma after curative hepatectomy using machine learning radiomics based on CECT: A multi-institutional study.

BACKGROUND: Even after curative resection, the prognosis for patients with intrahepatic cholangiocarcinoma (iCCA) remains disappointing due to the extremely high incidence of postoperative recurrence. METHODS: A total of 280 iCCA patients following curative hepatectomy from three independent institutions were recruited to establish the retrospective multicenter cohort study. The very early recurrence (VER) of iCCA was defined as the appearance of recurrence within 6 months. The 3D tumor region of interest (ROI) derived from contrast-enhanced CT (CECT) was used for radiomics analysis. The independent clinical predictors for VER were histological stage, AJCC stage, and CA199 levels. We implemented K-means clustering algorithm to investigate novel radiomics-based subtypes of iCCA. Six types of machine learning (ML) algorithms were performed for VER prediction, including logistic, random forest (RF), neural network, bayes, support vector machine (SVM), and eXtreme Gradient Boosting (XGBoost). Additionally, six clinical ML (CML) models and six radiomics-clinical ML (RCML) models were developed to predict VER. Predictive performance was internally validated by 10-fold cross-validation in the training cohort, and further evaluated in the external validation cohort. RESULTS: Approximately 30 % of patients with iCCA experienced VER with extremely discouraging outcome (Hazard ratio (HR) = 5.77, 95 % Confidence Interval (CI) = 3.73-8.93, P < 0.001). Two distinct iCCA subtypes based on radiomics features were identified, and subtype 2 harbored a higher proportion of VER (47.62 % Vs 25.53 %) and significant shorter survival time than subtype 1. The average AUC values of the CML and RCML models were 0.744 ± 0.018, and 0.900 ± 0.014 in the training cohort, and 0.769 ± 0.065 and 0.929 ± 0.027 in the external validation cohort, respectively. CONCLUSION: Two radiomics-based iCCA subtypes were identified, and six RCML models were developed to predict VER of iCCA, which can be used as valid tools to guide individualized management in clinical practice.

Proteomic characterization of aqueous humor in corneal endothelial decompensation after penetrating keratoplasty.

Corneal endothelial decompensation (CED) is the major cause of the long-term graft failure, but the underlying mechanisms remain unclear. The purpose of this study was to characterize the proteomic profile in CED aqueous humor (AH) after penetrating keratoplasty (PKP). We collected AH samples (n = 6/group) from CED patients underwent PKP and cataract patients, respectively. The label-free quantitative proteomic analysis was performed to identify the differentially-expressed proteins (DEPs). The biological functions of DEPs were evaluated using Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genome (KEGG) analysis. The protein-protein interaction (PPI) network construction was employed to distinguish the hub proteins of DEPs, and the selected proteins were validated by parallel reaction monitoring (PRM). The human peripheral blood mononuclear cells (PBMCs) were adopted to investigate the effect of biglycan (BGN) on inflammatory response, and the subsequent outcomes of inflammation on human corneal endothelial cells (HCECs). A total of 174 DEPs were identified in CED AH of patients underwent PKP, including 102 up-regulated proteins and 72 down-regulated proteins. Bioinformatics analysis revealed the significant enrichment of cytokine-mediated signaling pathway and extracellular matrix (ECM) organization in the up-regulated proteins, as well as the alterations of cellular components, including the increase of collagen and complement component C1 complex, and reduction in extracellular exosomes. A hub protein cluster of 15 proteins was determined by Molecular Complex Detection (MCODE), including FN1, BGN, COMP, COL11A1, COLA3A1, and COL1A1. Moreover, BGN promoted pro-inflammatory cytokine (such as TNF-α, IL-1ß and IL-6) production in PBMCs through NF-κB signaling pathway, which subsequently resulted in HCECs death. These findings provided a systemic protein profile of AH in CED patients after corneal transplantation, with the alterations implicated in cytokine-mediated signaling, ECM, complement system, and exsomes. The identified proteins and signaling pathways probably paved the novel insight into understanding the pathogenesis of the disease.

Development and validation of a novel radiomics-clinical model for predicting post-stroke epilepsy after first-ever intracerebral haemorrhage.

OBJECTIVES: Post-stroke epilepsy (PSE) is associated with increased morbidity and mortality. This study aimed to develop and validate a novel prediction model combining clinical factors and radiomics features to accurately identify patients at high risk of developing PSE after intracerebral haemorrhage (ICH). METHODS: Researchers performed a retrospective medical chart review to extract derivation and validation cohorts of patients with first-ever ICH that attended two tertiary hospitals in China between 2010 and 2020. Clinical data were extracted from electronic medical records and supplemented by tele-interview. Predictive clinical variables were selected by multivariable logistic regression to build the clinical model. Predictive radiomics features were identified, and a Rad-score was calculated according to the coefficient of the selected feature. Both clinical variables and radiomic features were combined to build the radiomics-clinical model. Performances of the clinical, Rad-score, and combined models were compared. RESULTS: A total of 1571 patients were included in the analysis. Cortical involvement, early seizures within 7 days of ICH, NIHSS score, and ICH volume were included in the clinical model. Rad-score, instead of ICH volume, was included in the combined model. The combined model exhibited better discrimination ability and achieved an overall better benefit against threshold probability than the clinical model in the decision curve analysis (DCA). CONCLUSIONS: The combined radiomics-clinical model was better able to predict ICH-associated PSE compared to the clinical model. This can help clinicians better predict an individual patient's risk of PSE following a first-ever ICH and facilitate earlier PSE diagnosis and treatment. KEY POINTS: • Radiomics has not been used in predicting the risk of developing PSE. • Higher Rad-scores were associated with higher risk of developing PSE. • The combined model showed better performance of PSE prediction ability.

Targeting Type I IFN/STAT1 signaling inhibited and reversed corneal squamous metaplasia in Aire-deficient mouse.

Corneal transparency and integrity are essential for obtaining good vision; nevertheless, squamous metaplasia (SQM) of ocular epithelium is a kind of serious blinding corneal diseases, without therapeutic medication in clinic. Here, we found that deficiency of the autoimmune regulator (AIRE) in corneas spontaneously developed corneal plaques. Using corneal abrasion model, we revealed that deletion of Aire not only resulted in delayed corneal re-epithelialization, but also promoted a cell-fate transition from transparent corneal epithelium to keratinized epithelium, histopathologically characterized with SQM based on the transcriptomic analysis. Mechanistically, Aire-deficient corneas led to the heightened Type I interferon (IFN-I)/STAT1 signaling after abrasion. Pharmacological blockade of IFN-I/JAK/STAT1 signaling in Aire-knockout (KO) corneas not only accelerated epithelial wound healing, but also alleviated corneal plaques and SQM. Collectively, our findings revealed critical roles of AIRE in governing corneal epithelial homeostasis and pathologic keratinization, and further identified IFN-I/STAT1 signaling as a potential target for treating ocular surface diseases with SQM, and even for treating pathological scenarios related to SQM in other tissues.

Natural Dual-Crosslinking Bioadhesive Hydrogel for Corneal Regeneration in Large-Size Defects.

Corneal injectable hydrogels represent a promising alternative to alleviate donor shortage and simplify traditional surgeries. However, most hydrogels focus on repairing focal corneal defects (≤3.5 mm) and leave many clinical requirements unmet. Herein, a novel ion-activated bioadhesive hydrogel (IonBAH) is designed and its long-term performance of repairing large corneal defects (6 mm) is evaluated in rabbits for 6 months. The IonBAH is a dual-network hydrogel composed of natural corneal extracellular matrix and peptide-modified alginate, which enables its desirable transparency and biocompatibility, tunable mechanics, and robust adhesion. Moreover, the IonBAH maintains the secretory phenotype of quiescent keratocytes, while preventing their myofibroblastic differentiation in vitro. Upon application in situ, it rapidly seals the 6 mm corneal defect and forms normal curvature through the coverage of a contact lens impregnated with calcium ions. During the 6 months follow-up, the IonBAH promotes rapid regeneration of corneal epithelium, stroma, and nerves with restored transparency, equivalent to the outcome of donor corneal transplantation. In addition, the suitability of IonBAH as an adhesive and patch for various clinical requirements are also evaluated with a pleasing outcome. Collectively, IonBAH may provide a clinically applicable scaffold for corneal surgeries, especially in large defect repair.

A2DS2 Score Combined With Clinical and Neuroimaging Factors Better Predicts Stroke-Associated Pneumonia in Hyperacute Cerebral Infarction.

OBJECTIVE: To investigate the predictors of stroke-associated pneumonia (SAP) and poor functional outcome in patients with hyperacute cerebral infarction (HCI) by combining clinical factors, laboratory tests and neuroimaging features. METHODS: We included 205 patients with HCI from November 2018 to December 2019. The diagnostic criterion for SAP was occurrence within 7 days of the onset of stroke. Poor outcome was defined as a functional outcome based on a 3-months MRS score >3. The relationship of demographic, laboratory and neuroimaging variables with SAP and poor outcome was investigated using univariate and multivariate analyses. RESULTS: Fifty seven (27.8%) patients were diagnosed with SAP and 40 (19.5%) developed poor outcomes. A2DS2 score (OR = 1.284; 95% CI: 1.048-1.574; P = 0.016), previous stroke (OR = 2.630; 95% CI: 1.122-6.163; P = 0.026), consciousness (OR = 2.945; 95% CI: 1.514-5.729; P < 0.001), brain atrophy (OR = 1.427; 95% CI: 1.040-1.959; P = 0.028), and core infarct volume (OR = 1.715; 95% CI: 1.163-2.528; P = 0.006) were independently associated with the occurrence of SAP. Therefore, we combined these variables into a new SAP prediction model with the C-statistic of 0.84 (95% CI: 0.78-0.90). Fasting plasma glucose (OR = 1.404; 95% CI: 1.202-1.640; P < 0.001), NIHSS score (OR = 1.088; 95% CI: 1.010-1.172; P = 0.026), previous stroke (OR = 4.333; 95% CI: 1.645-11.418; P = 0.003), SAP (OR = 3.420; 95% CI: 1.332-8.787; P = 0.011), basal ganglia-dilated perivascular spaces (BG-dPVS) (OR = 2.124; 95% CI: 1.313-3.436; P = 0.002), and core infarct volume (OR = 1.680; 95% CI: 1.166-2.420; P = 0.005) were independently associated with poor outcome. The C-statistic of the outcome model was 0.87 (95% CI: 0.81-0.94). Furthermore, the SAP model significantly improved discrimination and net benefit more than the A2DS2 scale, with a C-statistic of 0.76 (95% CI: 0.69-0.83). CONCLUSIONS: After the addition of neuroimaging features, the models exhibit good differentiation and calibration for the prediction of the occurrence of SAP and the development of poor outcomes in HCI patients. The SAP model could better predict the SAP, representing a helpful and valid tool to obtain a net benefit compared with the A2DS2 scale.

Quantitative Ischemic Characteristics and Prognostic Analysis of Crossed Cerebellar Diaschisis in Hyperacute Ischemic Stroke.

OBJECTIVES: Crossed cerebellar diaschisis (CCD) is a secondary phenomenon caused by supratentorial brain injury, characterized by hypoperfusion and hypometabolism of the contralateral cerebellum. This study aimed to investigate the correlation between the quantitative data of initial supratentorial ischemia and CCD, and to further explore the prognosis value of CCD in the hyperacute phase. MATERIALS AND METHODS: The imaging and clinical data of 109 patients with hyperacute ischemic stroke were analyzed retrospectively, univariate analysis and multivariate logistic regression were used to observe the relationship between the volume and degree of initial supratentorial ischemia and CCD, respectively, and to further analyze the effects of CCD in the hyperacute phase on neurological function and clinical prognosis. RESULTS: The degree and volume of initial supratentorial ischemia was significantly correlated with hyperacute CCD. The volume of ischemic penumbra (OR=1.021 [95% CI: 1.009-1.033], P<0.001) and the reduction rate of cerebral blood volume (CBV) (OR=1.338 [95% CI: 1.073-1.668], P=0.01) were the main influencing factors of CCD; patients with hyperacute CCD had higher admission and discharge National Institutes of Health Stroke Scale (NIHSS) (P=0.046 and P=0.01), and more hemorrhagic transformation (P=0.021), but there was no significant difference in the final infarction volume (P=0.347) and the 90-day modified Rankin Scale (mRS) (P=0.757). CONCLUSION: Patients with CCD had larger initial supratentorial ischemic volume and more severe ischemic degree in the hyperacute ischemic stroke, more short-term neurological impairment, and worse short-term treatment effect, however, but the long-term functional prognosis was not be affected.

Radiomic features as a risk factor for early postoperative seizure in patients with meningioma.

PURPOSE: This study aim to identify the clinical risk factors of and to develop a radiomics-based predictive model for early postoperative seizure. METHODS: We retrospectively assessed 322 operative patients with meningioma who met the inclusion criteria from January 2014 to December 2016 at The First Affiliated Hospital of Wenzhou Medical University. Univariate and multivariate analyses were performed to determine the predictive value of clinical variables. Magnetic resonance imaging (MRI) was performed to obtain the radiomic score (Rscore) for early postoperative seizure. Radiological features were evaluated using the AK software. The minimal redundancy (mRMR) and least absolute shrinkage and selection operator (LASSO) methods were used to assess for radiomic features, and the Rscore was obtained based on radiomic characteristics using a specific formula. RESULTS: In total, 260 patients who met the inclusion criteria were finally enrolled in this study. Among them, 20 experienced early postoperative seizure. Logistic regression analysis showed that Rscore was associated with a significantly high risk of seizure (p<0.000). Receiver operating characteristic (ROC) curve analysis revealed that the area under the ROC curve of the Rscore was 0.92 (95% confidence interval: 0.853-0.987). The model had a high accuracy for predicting early postoperative seizure. CONCLUSIONS: The Rscore was found to be associated with a high risk of early postoperative seizures. Thus, a higher Rscore (>-1.644) can identify high-risk patients requiring intensive care.

Risk of Post-stroke Epilepsy Following Stroke-Associated Acute Symptomatic Seizures.

Objective: Post-stroke epilepsy (PSE) is associated with increased morbidity and mortality. Stroke-associated acute symptomatic seizures are an important risk factor: 20.8-34.3% of these patients will go on to develop PSE. Identifying these "high risk" individuals may result in earlier PSE diagnosis, treatment, and avoidance of seizure-related morbidity. This study was to identify predictors of PSE development in patients with stroke-associated acute symptomatic seizures. Participants and Methods: This was a retrospective cohort study of 167 patients with stroke-associated acute symptomatic seizures admitted to the Neurology Department of a tertiary Hospital of China, from 1 May 2006 to 30 January 2020. Both those with primary ischemic stroke and intracerebral hemorrhage were included in the study. Patient demographics, medical history, stroke-associated, and seizure-related variables were evaluated with univariable analysis and multivariable Cox regression analysis. PSE was defined as unprovoked seizures occurring > 7 days post-stroke. Data points were extracted from medical records and supplemented by tele-interview. Results: Of the 167 patients with stroke-associated acute symptomatic seizures, 49 (29.3%) developed PSE. NIHSS score > 14 [hazard ratio (HR) 2.98, 95% CI 1.57-5.67], longer interval from stroke to acute symptomatic seizures (days 4-7 post-stroke) (HR 2.51, 95% CI 1.37-4.59) and multiple acute symptomatic seizures (HR 5.08, 95% CI 2.58-9.99) were independently associated with PSE development. This association remained in the sub-analysis within the ischemic stroke cohort. In the sub-analysis of the hemorrhagic stroke cohort, multilobar involvement (HR 4.80, 95% CI 1.49-15.39) was also independently associated with development of PSE. Further, we developed a nomogram to predict individual risk of developing PSE following stroke-associated acute symptomatic seizures. The nomogram showed a C-index of 0.73. Conclusion: More severe neurofunctional deficits (NIHSS score > 14), longer interval from stroke to acute symptomatic seizures (days 4-7 post-stroke), and multiple acute symptomatic seizures were independently associated with development of PSE in patients with stroke-associated acute symptomatic seizures. This knowledge may increase clinical vigilance for development of PSE, facilitating rapid diagnosis and treatment initiation, and subsequently reduce seizure-related morbidity.

Biocompatibility Profile and In Vitro Cellular Uptake of Self-assembled Alginate Nanoparticles.

Polymeric nanoparticles could offer promising controlled drug delivery. The biocompatibility is of extreme importance for future applications in humans. Self-assembled polymeric nanoparticles based on phenylalanine ethyl ester (PAE)-modified alginate (Alg) had been successfully prepared and characterized in our lab. However, little is known about their interaction with cells and other biological systems. In this study, nanoparticles (NPs) based on PAE-Alg conjugates (PEA-NPs) with different degree of substitution (DS) were prepared and investigated. Our results showed that PEA-NPs had no effects on the proliferation of the human intestinal epithelial Caco-2 cells at concentrations up to 1000 µg/mL. Furthermore, the in vitro cellular uptake profile of PEA-NPs, concerning several parameters involved in the application of therapeutic or diagnostic NPs, such as NPs concentration, time and temperature, was described. Different NPs have been adopted for cellular uptake studies and the NPs internalized into Caco-2 cells were quantified. Cellular uptake efficiency could reach 60% within 4 h. PEA-NPs also showed greater cell permeability than oleoyl alginate ester nanoparticles (OAE-NPs) previously prepared in our lab. Our studies reveal that NPs based on PEA conjugate are promising nanosystems for cellular delivery.

Hybrid warm-white organic light-emitting device based on tandem structure.

We realized an efficient hybrid tandem warm white organic light-emitting device with extremely stable color purity in forward direction by employing an easy-fabrication charge generation unit (CGU) combining 1, 4, 5, 8, 9, 11-Hexaazatriphenylene-hexacarbonitrile with ultrathin bilayers of LiF and Al. The tandem white device exhibits maximum efficiencies of 37.3 cd/A, 23.3 lm/W and still remains at high efficiencies of 34.4 cd/A, 17 lm/W at the luminance of 1000 cd/m2. When the operating current density increases from 5 mA/cm2 to 30 mA/cm2, the variations in Commission Internationale de l'Eclairage (CIE) coordinates are only (0.007, 0.003). Moreover, we also studied the cause of color variation in tandem white device by performing systematic optical simulation and discovered the origin of alleviation in efficiency roll-off for tandem white device by applying triplet-polaron quenching (TPQ) model.

Anti-inflammatory potential of ß-cryptoxanthin against LPS-induced inflammation in mouse Sertoli cells.

ß-cryptoxanthin (CX), a major carotenoid pigment, can inhibit inflammatory gene expression in mice with nonalcoholic steatohepatitis. In the present study, we examined the anti-inflammatory effects of CX on lipopolysaccharide (LPS)-induced inflammation in mouse primary Sertoli cells and the possible molecular mechanisms behind its effects. The results showed that CX significantly inhibited LPS-induced decreases in cell viability and in the percentage of apoptotic cells. Moreover, CX inhibited the LPS-induced up-regulation of tumor necrosis factor α (TNF-α), interleukin-10 (IL-10), interleukin-6 (IL-6) and interleukin-1ß (IL-1ß) in Sertoli cells. In addition, CX significantly limited the LPS-induced down-regulation of AR, HSF2, CREB, FSHR, INHBB and ABP in Sertoli cells. Western blot analysis showed that CX significantly suppressed NF-κB (p65) activation as well as MAPK phosphorylation. All the results suggested that CX suppressed inflammation, possibly associated with the NF-κB activation and MAPK of phosphorylation. Thus, CX may possess therapeutic potential against inflammation-related diseases.

Comparison of ITS and 18S rDNA for estimating fungal diversity using PCR-DGGE.

Both the internal transcribed spacer (ITS) region and 18S rRNA genes are broadly applied in molecular fingerprinting studies of fungi. However, the differences in those two ribosomal RNA regions are still largely unknown. In the current study, three sets of most suitable subunit ribosomes in ITS and 18S rRNA were compared using denaturing gradient gel electrophoresis (DGGE) under the optimum experimental conditions. Ten samples from both aquatic and soil environments were tested. The results revealed that the ITS region produced range-weighted richness in the range 36-361, which was significantly higher than that produced by 18S rDNA. There was a similar tendency in terms of the Shannon-Weaver diversity index and community dynamics in both water and soil samples. Samples from water and soil were better separated using ITS than 18S rDNA in principal component analysis of DGGE bands. Our study suggests that the ITS region is more precise and has more potential than 18S rRNA genes in fungal community analysis.