The anterior scleral thickness in primary open-angle glaucoma with high myopia.

Purpose: This study aimed to investigate and compare the anterior scleral thickness (AST) among high myopia (HM), primary open-angle glaucoma (POAG), and POAG with HM (HMPOAG) groups. Methods: Thirty-two HM eyes, 30 POAG eyes, and 31 HMPOAG eyes were included. The Schlemm's canal (SC) area, trabecular meshwork (TM) thickness, scleral spur (SS) length, and AST were measured using swept-source optical coherence tomography. AST was measured at 0 mm (AST0), 1 mm (AST1), 2 mm (AST2), and 3 mm (AST3) from SS. Results: The HMPOAG group had significantly thinner AST, SS length, and TM thickness than the HM and POAG groups (all p < 0.05). In addition, the SC area of the HMPOAG group was also significantly smaller than that of the HM group (p < 0.001). Conclusion: The HMPOAG group had the thinnest AST, shortest SS, thinnest TM, and smallest SC. The thinnest AST might contribute to the shortest SS, and further to the thinnest TM and smallest SC in the HMPOAG group. AST might be a novel clinical indicator in the prediction and evaluation of POAG.

Early juvenile cataract in newly diagnosed type 1 diabetic patients: a description of two cases.

OBJECTIVES: To analyze and summarize the clinical characteristics and treatment of juvenile patients with type 1 diabetes mellitus (T1DM) complicated by early cataract. CASE PRESENTATION: This retrospective study collected clinical data from 210 children and adolescents newly diagnosed with T1DM who were admitted to the Department of Pediatrics, Tongji Hospital (Wuhan) between 2015 and 2022. Among 210 patients with T1DM, early cataract developed within 3 months before diabetes onset and 12 months thereafter in 2 (0.95 %) patients. The two patients were both females, aged 13 and 9 years, respectively. In both cases, cataracts in both eyes appeared in the early stages of T1DM, showing a short course and rapid development. After intensive insulin treatment for stringent and stable blood glucose control, one patient underwent cataract extraction with significant improvement, and her visual acuity returned to normal. The other patient received intensive insulin therapy and insulin pump therapy for 8 years. Subsequently, she underwent cataract surgery after achieving stable blood glucose levels, without complete recovery of vision. CONCLUSIONS: Cataract is a rare complication in the early stages of T1DM in children and adolescents. Ophthalmic surgery is the preferred treatment for patients with diabetic cataract after achieving stable glycemic control, which may help prevent visual impairment.

Design of dual carbon encapsulated porous micron silicon composite with compact surface for enhanced reaction kinetics of lithium-ion battery anodes.

Developing high-performance composites with fast charging and superior cycle life is paramount for lithium-ion batteries (LIBs). Herein, we synthesized a double-shell carbon-coated porous structure composite with a compact surface (P-Si@rGO@C) using low-cost commercial micron-sized silicon (Si) instead of nanoscale silicon. Results reveal that the unique P-Si@rGO@C features high adaptability to volume expansion, accelerates electron/ion transmission rate, and forms a stable solid electrolyte interphase (SEI) film. This phenomenon arises from the synergistic effect of abundant internal voids and an external double-layer carbon shell with a dense surface. Specifically, the P-Si@rGO@C anode exhibits a high initial coulombic efficiency (ICE) (88.0 %), impressive rate-capability (612.1 mAh/g at 2C), and exceptional long-term cyclability (972.2 mAh/g over 500 cycles at 0.5C). Further kinetic studies elucidate the diffusion-capacitance hybrid energy storage mechanism and reveal an improved Li+ diffusion coefficient (from 3.47 × 10-11 to 2.85 × 10-9 cm2 s-1). Ex-situ characterization confirms the crystal phase change of micron-sized Si and the formation of a stable LiF-rich SEI. Theoretical calculations support these findings by demonstrating an enhancement in the adsorption ability of Si to Li+ (from -0.89 to -0.97 eV) and a reduction in the energy migration barrier (from 0.35 to 0.18 eV). Additionally, practical LixSi powder is shown to increase the ICE of full cells from 67.4 % to 87.9 %. Furthermore, a pouch cell utilizing the prelithiated P-Si@rGO@C anode paired with LiNi1/3Co1/3Mn1/3O2 (NCM111) cathode delivers a high initial reversible capacity of 7.2 mAh and 76.8 % capacity retention after 100 cycles. This work provides insights into the application of commercial silicon-aluminum alloy powder in the anode of high-energy LIBs.

Stability and Bioaccessibility of Quercetin-Enriched Pickering Emulsion Gels Stabilized by Cellulose Nanocrystals Extracted from Rice Bran.

To investigate the optimal delivery system of quercetin, in this paper, cellulose nanocrystals (CNCs) extracted from rice bran were used to stabilize the Pickering emulsion and Pickering emulsion gels (PEGs) with quercetin. To compare the emulsion properties, stability, antioxidation activity, encapsulation rate, and bioaccessibility of the quercetin, four emulsions of CNC Pickering emulsion (C), CNC Pickering emulsion with quercetin (CQ), CNC Pickering gel emulsion (CG), and CNC Pickering gel emulsions with quercetin (CQG) were prepared. All four emulsions exhibited elastic gel network structure and good stability. The quercetin significantly reduced the particle size, increased the stability, and improved the antioxidant capacity of CQ and CQG. Compared to C and CG, the ABTS+ radical scavenging capacities of CQ and CQG were respectively enhanced by 46.92% and 3.59%. In addition, CQG had a higher encapsulation rate at 94.57% and higher bioaccessibility (16.17) compared to CQ. This study not only indicated that CNC from rice bran could be exploited as an excellent stabilization particle for Pickering emulsions, but also provided a highly stable and bioaccessible delivery system for water-insoluble functional active factors.

Antimicrobial activity enabled by chitosan-ε-polylysine-natamycin and its effect on microbial diversity of tomato scrambled egg paste.

For a long time, food spoilage posed a severe impairment on food safety and public health. Although chemical preservatives are commonly used to inhibit spoilage/ pathogenic microbial growth, the disadvantages of a single target, potential toxicity and high dose of use limit the better use of preservatives. In this research, the combination of natural preservatives: Natamycin (Nat), ε-polylysine (ε-PL), and Chitosan (CS) could achieve an excellent antimicrobial effect including bacteria and fungi, and reduce the usage of a single preservative. Compound preservatives could destroy microbial morphology and damage the integrity of the cell wall/membrane by leakage of protein and alkaline phosphatase (AKP). Besides, high-throughput sequencing revealed that compound preservatives could decrease microbial diversity and richness, especially, Pseudomonas, Acinetobacter, Fusarium, and Aspergillus. Therefore, the combination of 1/8 × MIC CS, 1/4 × MIC ε-PL, and 1/2 × MIC Nat can achieve an excellent antibacterial effect, providing new ideas for food preservation.

Integrated fragmentomic profile and 5-Hydroxymethylcytosine of capture-based low-pass sequencing data enables pan-cancer detection via cfDNA.

BACKGROUND: Using epigenetic markers and fragmentomics of cell-free DNA for cancer detection has been proven applicable. METHODS: We further investigated the diagnostic potential of combining two features (epigenetic markers and fragmentomic information) of cell-free DNA for detecting various types of cancers. To do this, we extracted cfDNA fragmentomic features from 191 whole-genome sequencing data and studied them in 396 low-pass 5hmC sequencing data, which included four common cancer types and control samples. RESULTS: In our analysis of 5hmC sequencing data from cancer samples, we observed aberrant ultra-long fragments (220-500 bp) that differed from normal samples in terms of both size and coverage profile. These fragments played a significant role in predicting cancer. Leveraging the ability to detect cfDNA hydroxymethylation and fragmentomic markers simultaneously in low-pass 5hmC sequencing data, we developed an integrated model that incorporated 63 features representing both fragmentomic features and hydroxymethylation signatures. This model achieved high sensitivity and specificity for pan-cancer detection (88.52% and 82.35%, respectively). CONCLUSION: We showed that fragmentomic information in 5hmC sequencing data is an ideal marker for cancer detection and that it shows high performance in low-pass sequencing data.

Relationship Between Autonomic Nervous System Activity and Axial Length in Children.

BACKGROUND The aim of this work was to compare autonomic nervous system activity between eyes with axial and non-axial myopia and to investigate the relationship between autonomic nervous system activity and axial length (AL) in children. MATERIAL AND METHODS Seventy-eight eyes of 78 children were included in this study. Static and dynamic pupillary responses, including pupil diameter, latency, and velocity of pupil contraction and dilation, were recorded using automatic pupillometry to evaluate autonomic nervous system activity. AL was measured using the IOL-Master device. RESULTS In terms of static pupillary responses, the pupil diameter at mesopic condition (1 candelas/m²) (PD1) (4.06±0.64 vs 3.80±0.87 mm, P=0.045) and pupil diameter at low photopic condition (10 candelas/m²) (PD10) (3.40±0.49 vs 3.22±0.66 mm, P=0.046) were significantly larger in axial myopic eyes than in non-axial myopic eyes. In terms of dynamic pupillary responses, velocity of pupil contraction (Vel-C) (5.93±0.89 vs 6.75±1.60 mm/s, P=0.019) and velocity of pupil dilation (Vel-D) (2.28±0.38 vs 2.89±1.17 mm/s, P=0.002) were significantly slower in axial myopic eyes than in non-axial myopic eyes. Moreover, PD1 and PD10 were significantly and positively associated with AL, while Vel-C and Vel-D were significantly and negatively associated with AL (all P<0.05). CONCLUSIONS There was significant decrease in autonomic nervous system activity in axial myopia compared with non-axial myopia, and autonomic nervous system activity was significantly and negatively associated with AL in children. Decreases in autonomic nervous system activity in axial myopia may contribute to the excessive axial elongation in pediatric axial myopia.

[Effect of acupuncture at "Zhibian" (BL 54) through "Shuidao" (ST 28) on the expression of apoptosis-related factors in rats with premature ovarian insufficiency based on oxidative stress].

OBJECTIVE: To explore the possible mechanism of acupuncture at "Zhibian" (BL 54) through "Shuidao" (ST 28) on premature ovarian insufficiency (POI) from the perspective of oxidative stress. METHODS: Sixty female SD rats were randomly divided into a blank group, a model group, a sham acupuncture group, a medication group, and an acupuncture group, 12 rats in each group. Except the blank group, the rats in the remaining groups were intraperitoneally injected with cyclophosphamide to establish the POI model. After the model was successfully established, the rats in the acupuncture group were treated with acupuncture at "Zhibian" (BL 54) through "Shuidao" (ST 28), with a depth of about 12 mm, and the needle was retained for 30 min; the acupuncture was given once a day, for a total of 4 weeks. The rats in the sham acupuncture group were treated with blunt-head needle to tap the skin surface of "Zhibian" (BL 54), without penetrating the skin, once a day for 4 weeks. The rats in the medication group were treated with estradiol valerate by gastric gavage for 4 weeks. After the intervention, the level of reactive oxygen species (ROS) in the ovarian tissue was detected by fluorescence probe; the expression of c-Jun N-terminal kinase (JNK), forkhead box O1 (FoxO1), tumor suppressor gene protein 53 (p53) and p53 up-regulated modulator of apoptosis (Puma) mRNA and protein in ovarian tissue were detected by real-time fluorescence quantitative PCR and Western blot. RESULTS: Compared with the blank group, the level of ROS and the expression of JNK mRNA, p-JNK protein, FoxO1, p53, Puma mRNA and protein in the ovarian tissue in the model group were increased (P<0.01). Compared with the model group, the level of ROS and the expression of p-JNK protein, FoxO1, p53, Puma mRNA and protein in the ovarian tissue in the sham acupuncture group were slightly reduced, but the difference was not statistically significant (P>0.05). The level of ROS and the expression of JNK mRNA, p-JNK protein, FoxO1, p53, Puma mRNA and protein in the ovarian tissue in the acupuncture group and the medication group were reduced (P<0.01). CONCLUSION: Acupuncture at "Zhibian" (BL 54) through "Shuidao" (ST 28) could improve the level of oxidative stress, down-regulate the expression of apoptosis-related factors JNK, FoxO1, p53 and Puma induced by oxidative stress, and inhibit the premature failure of ovarian reserve function caused by apoptosis of ovarian granulosa cells in POI rats.

Front-face excitation-emission matrix fluorescence spectroscopy combined with interpretable deep learning for the rapid identification of the storage year of Ningxia wolfberry.

Ningxia wolfberry stored for many years may be disguised as fresh wolfberry by unscrupulous traders and sold for huge profits. In this work, the front-face excitation-emission matrix (FF-EEM) fluorescence spectroscopy coupled with interpretable deep learning was proposed to identify the storage year of Ningxia wolfberry in a lossless, fast and accurate way. Alternating trilinear decomposition (ATLD) algorithm was used to decompose the three-way data array obtained by Ningxia wolfberry samples, extracting the chemically meaningful information. Meanwhile, a convolutional neural network (CNN) model for the identification of the storage year of Ningxia wolfberry, called EEMnet, was proposed. The model successfully classified wolfberry samples from different storage years by extracting the subtle feature differences of the spectra, and the correct classification rate of the training set, test set and prediction set was more than 98%. In addition, a series of interpretability analyses were implemented to break the "black box" of the deep learning model. These results indicated that the method based on FF-EEM fluorescence spectroscopy combined with EEMnet could quickly and accurately identify the year of Ningxia wolfberry in a green way, providing a new idea for the identification of the storage years of Chinese medicinal materials.

Mo2CF2/WS2: Two-Dimensional Van Der Waals Heterostructure for Overall Water Splitting Photocatalyst from Five-Step Screening.

With the increasing demand for renewable energy and clean energy, photocatalysis is considered an economical and feasible source of energy. In this work, we select two-dimensional (2D) materials of X2CT2 (X = Cr, Hf, Mo, Sc, Ti, Zr; T = Cl, F, O, OH), Mxene, and MS2 (M = Mo, W) to form 20 systems of 2D van der Waals (vdW) heterostructures. We establish five screening steps, and the 2D Mo2CF2/WS2 vdW heterostructures meet all the screening conditions. Mo2CF2/WS2 is a type II semiconductor with a band gap of 1.58 eV, proper band edge position and high solar-to-hydrogen efficiency (17.15%) and power conversion efficiency (23.4%). An excellent electron-hole recombination time of 21.2 ps and electron (hole) migration time of 149 (265) fs are obtained in the 2D Mo2CF2/WS2 vdW heterostructure. In addition, the calculation results of Gibbs free energy show that a hydrogen reduction reaction and water oxidation reaction can proceed smoothly under the driving of photogenerated holes.

In Situ Growth of Iron Sulfide on Fast Charge Transfer V2 C-MXene for Superior Sodium Storage Anodes.

Due to the upstream pressure of lithium resources, low-cost sodium-ion batteries (SIBs) have become the most potential candidates for energy storage systems in the new era. However, anode materials of SIBs have always been a major problem in their development. To address this, V2 C/Fe7 S8 @C composites with hierarchical structures prepared via an in situ synthesis method are proposed here. The 2D V2 C-MXene as the growth substrate for Fe7 S8  greatly improves the rate capability of SIBs, and the carbon layer on the surface provides a guarantee for charge-discharge stability. Unexpectedly, the V2 C/Fe7 S8 @C anode achieves satisfactory sodium storage capacity and exceptional rate performance (389.7 mAh g-1  at 5 A g-1 ). The sodium storage mechanism and origin of composites are thoroughly studied via ex situ characterization techniques and first-principles calculations. Furthermore, the constructed sodium-ion capacitor assembled with N-doped porous carbon delivers excellent energy density (135 Wh kg-1 ) and power density (11 kW kg-1 ), showing certain practical value. This work provides an advanced system of sodium storage anode materials and broadens the possibility of MXene-based materials in the energy storage.

Priority and Prospect of Sulfide-Based Solid-Electrolyte Membrane.

All-solid-state lithium batteries (ASSLBs) employing sulfide solid electrolytes (SEs) promise sustainable energy storage systems with energy-dense integration and critical intrinsic safety, yet they still require cost-effective manufacturing and the integration of thin membrane-based SE separators into large-format cells to achieve scalable deployment. This review, based on an overview of sulfide SE materials, is expounded on why implementing a thin membrane-based separator is the priority for mass production of ASSLBs and critical criteria for capturing a high-quality thin sulfide SE membrane are identified. Moreover, from the aspects of material availability, membrane processing, and cell integration, the major challenges and associated strategies are described to meet these criteria throughout the whole manufacturing chain to provide a realistic assessment of the current status of sulfide SE membranes. Finally, future directions and prospects for scalable and manufacturable sulfide SE membranes for ASSLBs are presented.

Noninvasive detection of brain gliomas using plasma cell-free DNA 5-hydroxymethylcytosine sequencing.

Liquid biopsy techniques based on deep sequencing of plasma cell-free DNA (cfDNA) could detect the low-frequency somatic mutations and provide an accurate diagnosis for many cancers. However, for brain gliomas, reliable performance of these techniques currently requires obtaining cfDNA from patients' cerebral spinal fluid, which is cumbersome and risky. Here we report a liquid biopsy method based on sequencing of plasma cfDNA fragments carrying 5-hydroxymethylcytosine (5hmC) using selective chemical labeling (hMe-Seal). We first constructed a dataset including 180 glioma patients and 229 non-glioma controls. We found marked concordance between cfDNA hydroxymethylome and the aberrant transcriptome of the underlying gliomas. Functional analysis also revealed overrepresentation of the differentially hydroxymethylated genes (DhmGs) in oncogenic and neural pathways. After splitting our dataset into training and test cohort, we showed that a penalized logistic model constructed with training set DhmGs could distinguish glioma patients from healthy controls in both our test set (AUC = 0.962) and an independent dataset (AUC = 0.930) consisting of 111 gliomas and 111 controls. Additionally, the DhmGs between gliomas with mutant and wild-type isocitrate dehydrogenase (IDH) could be used to train a cfDNA predictor of the IDH mutation status of the underlying tumor (AUC = 0.816), and patients with predicted IDH mutant gliomas had significantly better outcome (P = .01). These results indicate that our plasma cfDNA 5hmC sequencing method could obtain glioma-specific signals, which may be used to noninvasively detect these patients and predict the aggressiveness of their tumors.

Quantification of Iris Atrophy by Swept-Source Optical Coherence Tomography in Posner-Schlossman Syndrome.

Purpose: To investigate iris atrophy in Posner−Schlossman syndrome (PSS). Methods: Sixty-one patients with PSS were included. Using swept-source optical coherence tomography, the thickness of anterior border layer (A), middle stromal layer (M), and the posterior pigmented epithelial layer (P) of iris were measured at 500 µm, 1000 µm, 1500 µm, 2000 µm, and 2500 µm from the pupillary edge in both PSS-affected and fellow eyes. The relationships between iris thickness and corneal endothelium density, cup-to-disc (C/D) ratio, and retinal nerve fiber layer (RNFL) thickness were also estimated in PSS-affected eyes. Results: Iris thickness parameters, including M500, M1000, A1500, A2000, P2000, and P2500, were significantly thinner in PSS-affected eyes than in fellow eyes (all p < 0.05). Moreover, M500 and M1000 were significantly associated with corneal endothelium density (p = 0.047 and 0.018, respectively), and M500 was significantly associated with C/D ratio (p = 0.001) and RNFL thickness (p = 0.037) in PSS-affected eyes. Conclusions: Iris showed significant thinning and atrophy in PSS-affected eyes, and iris stromal thickness close to the pupillary edge could be a novel clinical predictor of the changes in corneal endothelium, C/D ratio, and RNFL thickness in PSS.

Whole-exome sequencing reveals novel variants associated with abnormal uterine bleeding caused by copper intrauterine device.

Aim: This study aimed to explore the genetic risk factors and validate variants of abnormal uterine bleeding after copper intrauterine device insertion. Methods: Whole-exome sequencing was performed and several variants were validated by Sequenom MassARRAY. Results: Eight variants showed potential clinical damage according to American College of Medical Genetics and Genomics criteria. By combined analysis of screening and validation, NFASC RS2802808 C>G p.Ile971Met (Pallele = 0.009 and Pgenotype = 0.027) and PIGR RS2275531 C>T p.Gly365Ser (Pallele = 0.009 and Pgenotype = 0.013) variants were identified as significantly associated with abnormal uterine bleeding with a false discovery rate <0.05. NFASC and PIGR may play a role in abnormal uterine bleeding by regulating coagulation fibrinolysis and endometrial epithelium inflammation functions. Conclusion: These findings provide a genetic basis for clinical individualization and precision of intrauterine device implantation.

Abnormal uterine bleeding (AUB) after Cu intrauterine device (Cu-IUD) insertion is the most common side effect of Cu-IUD use. AUB is a multifactorial process that relates to endometrial-related genetic factors, ovulatory function-related genetic factors, coagulation, the fibrinolytic system, contraction of the uterine arteries and endometritis inflammatory factor. This is the first study to explore the underlying genetic mechanisms of AUB related to the use of Cu-IUDs by whole-exome sequencing in the Chinese Han population. The authors found that variants of NFASC and PIGR genes were significantly associated with AUB in women using Cu-IUDs. NFASC and PIGR may be involved in coagulation fibrinolysis and endometrial epithelium inflammation functions, indicating its potential functions in AUB. This study could provide a genetic basis for studies on the individualization and precision of IUD use in the future.

Deep learning-based classification of the anterior chamber angle in glaucoma gonioscopy.

In the proposed network, the features were first extracted from the gonioscopically obtained anterior segment photographs using the densely-connected high-resolution network. Then the useful information is further strengthened using the hybrid attention module to improve the classification accuracy. Between October 30, 2020, and January 30, 2021, a total of 146 participants underwent glaucoma screening. One thousand seven hundred eighty original images of the ACA were obtained with the gonioscope and slit lamp microscope. After data augmentation, 4457 images are used for the training and validation of the HahrNet, and 497 images are used to evaluate our algorithm. Experimental results demonstrate that the proposed HahrNet exhibits a good performance of 96.2% accuracy, 99.0% specificity, 96.4% sensitivity, and 0.996 area under the curve (AUC) in classifying the ACA test dataset. Compared with several deep learning-based classification methods and nine human readers of different levels, the HahrNet achieves better or more competitive performance in terms of accuracy, specificity, and sensitivity. Indeed, the proposed ACA classification method will provide an automatic and accurate technology for the grading of glaucoma.

Chemometrics-enhanced high-performance liquid chromatography-diode array detection strategy to quantify protoberberine alkaloids in varying Coptidis Rhizoma-related medicines.

Quantitation of protoberberine alkaloids is an essential guarantee for efficacy control and medication safety of Coptidis Rhizoma (CR) related medicines. Traditional univariate chromatography faced challenges with co-elution, unknown interferences, and retention time shift when analyzing isomeric analytes in varying sample matrices. We presented a chemometrics-enhanced high-performance liquid chromatography-diode array detection (HPLC-DAD) strategy for simultaneous quantification of six protoberberine alkaloids and processed multi-channels chromatographic-spectral data with four second-order calibration algorithms. Chromatographic conditions were firstly optimized. Four groups of predicted samples were modeled individually with the designed calibration set. Mathematical resolutions were then obtained, and pseudo-univariate regression gave the quantitative concentration of each analyte. Four models were scored on fit, linearity, recovery, and robustness, where alternating trilinear decomposition assisted multivariate curve resolution (ATLD-MCR) exhibited an optimal and stable performance. Besides, the resolved spectra presented high consistency with the actual spectra (r≥0.9993). Limits of quantification (LOQ) fully met the pharmacopoeia stipulation and were 0.17, 0.60, 0.19, 0.74, 0.15, and 0.38 µg mL-1 for columbamine, epiberberine, jatrorrhizine, coptisine, palmatine, and berberine, respectively. The importance of this strategy is to exploit collinearity resolution and additional selectivity that permit accurate quantitation at poor chromatographic resolutions, avoiding individual pretreatment and HPLC optimizations for different samples. This study provides a universal alternative for routine quality assessment of protoberberine alkaloids in CR-related medicines.

The anterior segment biometrics in high myopia eyes.

INTRODUCTION: To investigate and compare the anterior segment biometrics in high myopia and control groups. METHODS: Thirty-four eyes of 34 high myopia patients and 42 eyes of 42 control subjects were included. The Schlemm's canal (SC) area, trabecular meshwork (TM) thickness and length, scleral spur (SS) length and anterior scleral thickness (AST) were measured using swept-source optical coherence tomography. Associations between SC area, TM thickness, TM length, SS length and AST were also estimated. RESULTS: SC area, TM thickness and SS length were significantly associated with AST0 (AST at 0mm from SS) in both high myopia and control groups. AST0 (702.61±78.05 vs. 729.12±95.87 µm, p=0.085) and SS length (206.25±52.25 vs. 212.09±51.86 µm, p=0.556) were not significantly different between high myopia and control groups, whereas SC area (6622.68±1130.06 vs. 6105.85±1297.84 µm2, p=0.015) was significantly greater and TM thickness (96.15±34.40 vs. 107.93±29.97 µm, p=0.048) was significantly thinner in high myopia group than in control group. CONCLUSION: SC area and TM thickness were significantly associated with AST0, while AST0 and SS length were not significantly different between high myopia and control groups. The changes in SC and TM dimensions in high myopia eyes might be caused by factors other than AST0 and SS length.

Emerging Roles of the Nervous System in Gastrointestinal Cancer Development.

Our understanding of the fascinating connection between nervous system and gastrointestinal (GI) tumorigenesis has expanded greatly in recent years. Recent studies revealed that neurogenesis plays an active part in GI tumor initiation and progression. Tumor-driven neurogenesis, as well as neurite outgrowth of the pre-existing peripheral nervous system (PNS), may fuel GI tumor progression via facilitating cancer cell proliferation, chemoresistance, invasion and immune escape. Neurotransmitters and neuropeptides drive the activation of various oncogenic pathways downstream of neural receptors within cancer cells, underscoring the importance of neural signaling pathways in GI tumor malignancy. In addition, neural infiltration also plays an integral role in tumor microenvironments, and contributes to an environment in favor of tumor angiogenesis, immune evasion and invasion. Blockade of tumor innervation via denervation or pharmacological agents may serve as a promising therapeutic strategy against GI tumors. In this review, we summarize recent findings linking the nervous system to GI tumor progression, set the spotlight on the molecular mechanisms by which neural signaling fuels cancer aggressiveness, and highlight the importance of targeting neural mechanisms in GI tumor therapy.

Efficient Perovskite Solar Cells Based on Tin Oxide Nanocrystals with Difunctional Modification.

Tin oxide (SnO2 ) nanocrystals-based electron transport layer (ETL) has been widely used in perovskite solar cells due to its high charge mobility and suitable energy band alignment with perovskite, but the high surface trap density of SnO2 nanocrystals harms the electron transfer and collection within device. Here, an effective method to achieve a low trap density and high electron mobility ETL based on SnO2 nanocrystals by devising a difunctional additive of potassium trifluoroacetate (KTFA) is proposed. KTFA is added to the SnO2 nanocrystals solution, in which trifluoroacetate ions could effectively passivate the oxygen vacancies (OV ) in SnO2 nanocrystals through binding of TFA- and Sn4+ , thus reducing the traps of SnO2 nanocrystals to boost the electrons collection in the solar cell. Furthermore, the conduction band of SnO2 nanocrystals is shifted up by surface modification to close to that of perovskite, which facilitates electrons transfer because of the decreased energy barrier between ETL and perovskite layer. Benefiting from the decreased trap density and energy barrier, the perovskite solar cells exhibit a power conversion efficiency of 21.73% with negligible hysteresis.