Engineered Nanofibrillar Collagen with Tunable Biophysical Properties for Myogenic, Endothelial, and Osteogenic Cell Guidance.

A goal of regenerative engineering is the rational design of materials to restore the structure-function relationships that drive reparative programs in damaged tissues. Despite the widespread use of extracellular matrices for engineering tissues, their application has been limited by a narrow range of tunable features. The primary objective of this study is to develop a versatile platform for evaluating tissue-specific cellular interactions using Type I collagen scaffolds with highly tunable biophysical properties. The kinetics of collagen fibrillogenesis were modulated through a combination of varied shear rate and pH, during neutralization, to achieve a broad range of fibril anisotropy, porosity, diameter, and storage modulus. The role that each of these properties play in guiding muscle, bone, and vascular cell types was comprehensively identified and informed the in vitro generation of three distinct musculoskeletal engineered constructs. Myogenesis was highly regulated by smaller fibrils and larger storage moduli, endothelial inflammatory phenotype was predominantly guided by fibril anisotropy, and osteogenesis was enhanced by highly porous collagen with larger fibrils. This study introduces a novel approach for dynamically modulating Type I collagen materials and provides a robust platform for investigating cell-material interactions, offering insights for future rational design of tissue-specific regenerative biomaterials. STATEMENT OF SIGNIFICANCE: The biophysical properties of regenerative materials facilitate key cell-substrate interactions that can guide the morphology, phenotype, and biological response of cells. In this study, we describe the fabrication of an engineered collagen hydrogel that can be modified to exhibit control over a wide range of biophysical features including fibril organization and size, nanoscale porosity, and mechanics. We identified the unique combination of collagen features that optimally promote regenerative muscle, bone, and vascular cell types while also delineating the properties that hinder these same cellular responses. This study presents a highly accessible method to control the biophysical properties of collagen hydrogels that can be adapted for a broad range of tissue engineering and regenerative applications.

Green missing spots: Information entropy on greenhouse gas emission disclosure by Brazilian companies.

This study aims to address a critical gap in the literature by examining the incorporation of uncertainty in measuring carbon emissions using the greenhouse gas (GHG) Protocol methodology across all three scopes. By comprehensively considering the various dimensions of CO2 emissions within the context of organizational activities, our research contributes significantly to the existing body of knowledge. We address challenges such as data quality issues and a high prevalence of missing values by using information entropy, techniques for order preference by similarity to ideal solution (TOPSIS), and an artificial neural network (ANN) to analyze the contextual variables. Our findings, derived from the data sample of 56 companies across 18 sectors and 13 Brazilian states between 2017 and 2019, reveal that Scope 3 emissions exhibit the highest levels of information entropy. Additionally, we highlight the pivotal role of public policies in enhancing the availability of GHG emissions data, which, in turn, positively impacts policy-making practices. By demonstrating the potential for a virtuous cycle between improved information availability and enhanced policy outcomes, our research underscores the importance of addressing uncertainty in carbon emissions measurement for advancing effective climate change mitigation strategies.

Insights gained into the injury mechanism of drug and herb induced liver injury in the hepatic microenvironment.

Drug-Induced Liver Injury (DILI) and herb Induced Liver Injury (HILI) continues to pose a substantial challenge in both clinical practice and drug development, representing a grave threat to patient well-being. This comprehensive review introduces a novel perspective on DILI and HILI by thoroughly exploring the intricate microenvironment of the liver. The dynamic interplay among hepatocytes, sinusoidal endothelial cells, Kupffer cells, hepatic stellate cells, cholangiocytes, and the intricate vascular network assumes a central role in drug metabolism and detoxification. Significantly, this microenvironment is emerging as a critical determinant of susceptibility to DILI and HILI. The review delves into the multifaceted interactions within the liver microenvironment, providing valuable insights into the complex mechanisms that underlie DILI and HILI. Furthermore, we discuss potential strategies for mitigating drug-induced liver injury by targeting these influential factors, emphasizing their clinical relevance. By highlighting recent advances and future prospects, our aim is to shed light on the promising avenue of leveraging the liver microenvironment for the prevention and mitigation of DILI and HILI. This deeper understanding is crucial for advancing clinical practices and ensuring patient safety in the realm of DILI and HILI.

Application of 3-dimensional visualization and image fusion technology in liver cancer with portal vein tumor thrombus surgery.

Liver cancer with portal vein tumor thrombus (PVTT) is a frequent finding and is related to poor prognosis. Surgical resection provides a more promising prognosis in selected patients. The purpose of this study was to explore the application of 3D (3-dimensional) visualization and image fusion technology in liver cancer with PVTT surgery. 12 patients were treated with surgery between March 2019 and August 2022. The preoperative standard liver volume (SLV), estimated future liver remnant (FLR), FLR/SLV, 3D visualization models, PVTT classification, operation programs, surgical results, and prognosis were collected and analyzed. Twelve patients who had complete data of 3D visualization and underwent hemihepatectomy combined with portal vein tumor thrombectomy. The operation plan was formulated by 3D visualization and was highly consistent with the actual surgery. The SLV was 1208.33 ±â€…63.22 mL, FLR was 734.00 mL and FLR/SLV was 61.62 ±â€…19.38%. The accuracy of classification of PVTT by 3D visualization was 100%, Cheng type Ⅱa (4 cases), Ⅱb (2 cases), Ⅲa (4 cases), and Ⅲb (2 cases). The 3D visualization model was a perfect fusion with the intraoperative live scene and precise guidance for hepatectomy. No patient was suffering from postoperative liver failure and without procedure­associated death. 6 patients died of tumor recurrence, and 2 patients died of other reasons. The 12-month cumulative survival rate was 25.9%. 3D visualization and image fusion technology could be used for precise assessment of FLR, classification of PVTT, surgery navigation, and which was helpful in improving the safety of hepatectomy.

[Research progress of traditional Chinese and Western medicine non-pharmacological prevention strategies for acute high altitude disease].

Acute high altitude disease (AHAD) is a general term for a series of clinical reactions that occur when the body fails to adapt to the low-pressure hypoxic environment of high altitudes. Mild cases can cause symptoms such as headache, nausea and vomiting, while more severe cases can lead to life-threatening conditions such as pulmonary edema, cerebral edema and other critical conditions that can be fatal. With the increasing demand for high altitudes deployment, understanding the common preventive measures of AHAD can reduce its morbidity or mortality to a certain extent, which is of great benefit to those who reside temporarily at high altitudes. In recent years, as people's health awareness has improved, there has been a growing attention towards non-pharmacological methods of disease prevention. At the same time, non-pharmacological therapy has significant therapeutic effects in preventing and treating high-altitude diseases, which has attracted the attention of researchers in this field. This review summarizes the major non-pharmacological preventive components of modern medicine and outlines the current non-pharmacological approaches to AHAD from the perspective of traditional Chinese medicine, intending to serve clinical purposes and improve the onset and prognosis of AHAD.

Genome-wide identification and characterization of the JAZ gene family in Gynostemma pentaphyllum reveals the COI1/JAZ/MYC2 complex potential involved in the regulation of the MeJA-induced gypenoside biosynthesis.

The Jasmonate ZIM domain (JAZ) proteins, functioning as critical suppressors for jasmonic acid (JA) signal transduction in plants, occupy crucial roles in multiple biological processes, particularly in the orchestration of secondary metabolic pathways. However, the mechanism underlying the JA-induced gypenosides accumulation in Gynostemma pentaphyllum remains poorly elucidated. Our research led to the identification of 11 distinct JAZ members in G. pentaphyllum (GpJAZs). According to the classification approach of AtJAZ, we allocated these members into five subgroups that shared similar conserved motif compositions. Subsequently, we identified the presence of various cis-acting elements associated with light stimuli, hormone responses, and stress signals within the promoter regions of the GpJAZ gene family. The expression levels of GpJAZ genes in different tissues were quite different, and the majority of GpJAZ genes exhibited varying degrees of response to methyl jasmonate (MeJA) induction. Yeast two-hybrid (Y2H) assays revealed interactions between GpJAZ1/2/4/5/7/9/10 and GpMYC2, whereas GpCOI1 protein was found to interact with GpJAZ1/2/4/5, thereby forming the COI1/JAZ/MYC2 complex. Furthermore, as an activator of gypenoside metabolic pathway, GpMYC2 could activate the promoter activity of the gypenoside metabolism-related genes to varying degrees by binding to their promoters, indicating that the COI1/JAZ/MYC2 module involved in the MeJA-induced regulation of gypenosides. In summary, our findings present an exhaustive examination of the JAZ gene family, furnishing a significant lead for delving deeper into the molecular mechanisms that drive the MeJA-induced enhancement of gypenosides accumulation in G. pentaphyllum.

P300 regulates histone crotonylation and preimplantation embryo development.

Histone lysine crotonylation, an evolutionarily conserved modification differing from acetylation, exerts pivotal control over diverse biological processes. Among these are gene transcriptional regulation, spermatogenesis, and cell cycle processes. However, the dynamic changes and functions of histone crotonylation in preimplantation embryonic development in mammals remain unclear. Here, we show that the transcription coactivator P300 functions as a writer of histone crotonylation during embryonic development. Depletion of P300 results in significant developmental defects and dysregulation of the transcriptome of embryos. Importantly, we demonstrate that P300 catalyzes the crotonylation of histone, directly stimulating transcription and regulating gene expression, thereby ensuring successful progression of embryo development up to the blastocyst stage. Moreover, the modification of histone H3 lysine 18 crotonylation (H3K18cr) is primarily localized to active promoter regions. This modification serves as a distinctive epigenetic indicator of crucial transcriptional regulators, facilitating the activation of gene transcription. Together, our results propose a model wherein P300-mediated histone crotonylation plays a crucial role in regulating the fate of embryonic development.

Raised Body Mass Index and Reduced Muscle Bulk Reduces The Incidence Of Popeye's Deformity Post Tenotomy Of Long Head of Biceps Brachii.

OBJECTIVES: The development of the Popeye's deformity is a known complication of long head of bicep tendon (LHBT) tenotomy. Incidence of developing Popeye's deformity after LHBT tenotomy ranges between 13 - 70%. While this complication is well tolerated, it can be avoided with proper patient selection. We aim to study patient and clinical factors resulting in the development of the Popeye's deformity after LHBT tenotomy so as to better identify suitable surgical candidates. METHODS: 91 patients underwent unilateral rotator cuff repairs and concomitant LHBT tenotomy between March 2013 and March 2017. Assessment of patient factors contributing to Popeye's deformity included patient demographics and physical attributes were analysed and correlated. Patients also completed a questionnaire regarding their overall post-operative satisfaction. Prospectively collated Visual Analogue Pain (VAS), Constant-Murley Shoulder Score (CSS), UCLA Shoulder Score (UCLA) and Oxford Shoulder Score (OSS) were compared at 6 and 24 months post-operation between patients who developed Popeye's deformity and those who did not. RESULTS: The incidence of post-tenotomy Popeye's sign was 58.9%. Majority of patients were satisfied with their procedure, postoperative function and cosmesis. Patients who developed Popeye's sign had a statistically significant lower body mass index (BMI) (24.9 ± 4.2 kg/m2 versus 27.3 ± 4.3 kg/m2, p = 0.048) (rpb = - 0.210, p > 0.05) and had a greater biceps circumference (in flexion) to wrist circumference ratio (1.91 ± 0.16 versus 1.83 ± 0.13, p = 0.012) (rpb = 0.319, p < 0.05) compared to those who did not. Nevertheless, the development of Popeye's sign did not affect clinical outcomes (VAS, CSS, UCLA and OSS, p > 0.05) at 24 months. CONCLUSIONS: The incidence of Popeye's deformity is high post LHBT tenotomy. There was a greater incidence in patients with lower BMI and greater biceps brachii muscle bulk. However, this complication is well tolerated. By better selecting our patients, we can achieve better outcomes and minimise potential complications. LEVEL OF EVIDENCE: Level III Evidence. Retrospective comparative study.

Optimization of Graft Position at the Tibia Footprint in Anterior Cruciate Ligament Revision-Lasso Technique.

In anterior cruciate ligament (ACL) revision cases, the resultant bigger aperture at the tibia footprint can cause graft instability. The increased movement hinders bone-graft integration and leads to graft abrasion. This article describes a technique to optimize graft stability when using a soft tissue graft for ACL revision. The technique is used when there is suspicion of size mismatch between the new tibia footprint aperture and the graft. The first stage involves passing a suture via an anterolateral tibial tunnel connecting with the revision tibia tunnel distal to the tibia footprint aperture. The new graft is subsequently deployed, and the potential discrepancy between graft diameter and aperture is confirmed. The second stage involves placing 2 pulling sutures on the new graft and passing them into the anterolateral tibial tunnel. The tensioned and anchored pulling sutures secure graft stability at the tibia footprint, and the graft distal to that is fixed routinely. The lasso technique stabilizes the new graft at the tibia footprint by tensioning it in a distal and anterolateral direction. For selected cases, this technique enables a 1-stage ACL revision with a soft tissue graft when faced with graft instability at the tibia footprint.

Therapeutic effects of flavonoids on pulmonary fibrosis: A preclinical meta-analysis.

BACKGROUND: The efficacy of flavonoid supplementation in animal models of pulmonary fibrosis has been demonstrated. PURPOSE: We conducted a systematic review and meta-analysis to evaluate the efficacy and underlying mechanisms of flavonoids in animal models of bleomycin-induced pulmonary fibrosis. STUDY DESIGN: Relevant studies (n = 45) were identified from English- and Chinese-language databases from the inception of the database until October 2023. METHODS: Methodological quality was evaluated using the SYRCLE risk of bias tool. Statistical analyses were conducted using RevMan 5.3 and Stata 17.0. Lung inflammation and fibrosis score were the primary outcome indicators. RESULTS: Flavonoids can alleviate pathological changes in the lungs. The beneficial effects of flavonoids on pulmonary fibrosis likely relate to their inhibition of inflammatory responses, restoration of oxidative and antioxidant homeostasis, and regulation of fibroblast proliferation, migration, and activation by transforming growth factor ß1/mothers against the decapentaplegic homologue/AMP-activated protein kinase (TGF-ß1/Smad3/AMPK), inhibitor kappa B alpha/nuclear factor-kappa B (IκBα/NF-κB), phosphatidylinositol 3-kinase (PI3K)/AKT, interleukin 6/signal transducer/activator of transcription 3 (IL6/STAT3), and nuclear factor erythroid 2-related factor 2/Kelch-like ECH-associated protein 1 (Nrf2-Keap1) pathways. CONCLUSION: Flavonoids are potential candidate compounds for the prevention and treatment of pulmonary fibrosis. However, extensive preclinical research is necessary to confirm the antifibrotic properties of natural flavonoids.

Trace-Amount Detection of Chiral Molecules Based on Plasmonic Racemic Arrays Fabricated via Direct Laser Writing.

Superchiral fields, supported by chiral plasmonic structures, have shown outstanding performance for chiral molecule sensing via enhanced chiral light-matter interaction. However, this sensing capability cannot fully reveal the chiral origin of the molecules as the chiroptic response of the molecules is intertwined with the chiroptic response of the chiral plasmonic nanostructures, which can potentially be excluded by using a plasmonic racemic mixture. Such a plasmonic racemic mixture is not easily attainable, as it normally requires complex fabrication and expensive instrumentation, whose structural fineness is limited by the fabrication precision. Here, we demonstrate trace-amount chiral molecule detection with plasmonic racemic arrays fabricated by direct laser writing with vector beams, which is facile, cost-effective, and highly controllable. The racemic arrays present no inherent circular differential scattering but a large local superchiral field, which reflects the intrinsic chiral features of the chiral molecules. They are further applied to discriminate enantiomers of phenylalanine with a limit of detection (LOD) of 10.0 ± 2.8 µM, which is an order of magnitude smaller than the LOD of conventional circular dichroism spectroscopy. The strong local superchiral field provided by the plasmonic racemic arrays enlightens the design of a superior sensing platform, which holds promising applications for biomedical detection and enantioselective drug development.

A Systematic Review of the Reliability and Validity of the Patient Activation Measure Tool.

Patient activation, broadly defined as the ability of individuals to manage their health and navigate the healthcare system effectively, is crucial for achieving positive health outcomes. The Patient Activation Measure (PAM), a popularly used tool, was developed to assess this vital component of health care. This review is the first to systematically examine the validity of the PAM, as well as study its reliability, factor structure, and validity across various populations. Following the PRISMA and COSMIN guidelines, a search was conducted in MEDLINE, EMBASE, and Cochrane Library, from inception to 1 October 2023, using combinations of keywords related to patient activation and the PAM. The inclusion criteria were original quantitative or mixed methods studies focusing on PAM-13 or its translated versions and containing data on psychometric properties. Out of 3007 abstracts retrieved, 39 studies were included in the final review. The PAM has been extensively studied across diverse populations and geographical regions, including the United States, Europe, Asia, and Australia. Most studies looked at populations with chronic conditions. Only two studies applied the PAM to community-dwelling individuals and found support for its use. Studies predominantly showed a high internal consistency (Cronbach's alpha > 0.80) for the PAM. Most studies supported a unidimensional construct of patient activation, although cultural differences influenced the factor structure in some cases. Construct validity was established through correlations with health behaviors and outcomes. Despite its strengths, there is a need for further research, particularly in exploring content validity and differential item functioning. Expanding the PAM's application to more diverse demographic groups and community-dwelling individuals could enhance our understanding of patient activation and its impact on health outcomes.

Study on the mechanism of inhibition of Escherichia coli by Polygonum capitatum based on network pharmacology and molecular docking technology: A review.

This study aims to analyze the effective components of Polygonum capitatum (PC) inhibiting Escherichia coli based on network pharmacology methods and predict its molecular mechanism of action. PC compounds and targets were collected from the TCMSP database, Swiss Target Prediction, and the literature. E coli targets were searched using the GeneCards database. The targets of E coli and the targets of the active ingredients of PC were taken as intersections to obtain the intersecting targets. The resulting overlapping targets were uploaded to the STRING database to construct the protein interaction network diagram of E coli target inhibition. The key targets for the inhibitory effect of PC on E coli were obtained. Gene ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were performed by uploading key targets into the DAVID database. The results showed that there were 50 targets for PC to inhibit E coli. Among them, there are 5 core targets, mainly including AKT1, TNF, EGFR, JUN, and ESR1. A total of 196 gene ontology functional analysis results and 126 Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis results were obtained. These include cellular response to cadmium-ion, cellular response to reactive oxygen species, pathways in cancer, prostate cancer, and PI3K-Akt signaling pathway. Molecular docking results indicate that Lutedin, Hirsutin, Flazin, and Ellagic acid in PC have high affinity for the target genes AKT1, TNF, MAPK3 and EGFR. PC exerts its inhibitory effect on E coli through multi-targets and multi-pathways, which provides a new basis for the new use of PC as an old medicine.

Comparative analysis of the image quality and diagnostic performance of the zooming technique with diffusion-weighted imaging using different b-values for thyroid papillary carcinomas and benign nodules.

Objective: To compare image quality and diagnostic performance using different b-values for the zooming technique with diffusion-weighted imaging (ZOOMit-DWI) in thyroid nodules. Materials and methods: A total of 51 benign thyroid nodules and 50 thyroid papillary carcinomas were included. ZOOMit-DWI was performed with b-values of 0, 500, 1000, 1500 and 2000 s/mm2. The sharpness was evaluated as subjective index. The signal intensity ratio (SIR), signal-to-noise ratio (SNR) and apparent diffusion coefficient (ADC) were measured as objective indices. Pairwise comparisons were performed among the different b-value groups using the Friedman test. A receiver operating characteristic curve of the ADC value was used to evaluate diagnostic performance. The DeLong test was used to compare diagnostic effectiveness among the different b-value groups. Results: In both the papillary carcinoma group (P = 0.670) and the benign nodule group (P = 0.185), the sharpness of nodules was similar between b-values of 1000 s/mm2and 1500 s/mm2. In the papillary carcinoma group, the SIRnodule was statistically higher in DWI images with a b-value of 1500 s/mm2than in DWI images with b-values of 500 s/mm2(P = 0.004), 1000 s/mm2(P = 0.002), and 2000 s/mm2(P = 0.003). When the b-values were 1500 s/mm2(P = 0.008) and 2000 s/mm2(P = 0.009), the SIRnodule significantly differed between the papillary carcinoma group and the benign nodule group. When b = 500 s/mm2, the ADC had an AUC of 0.888. When b = 1000 s/mm2, the ADC had an AUC of 0.881. When b = 1500 s/mm2, the ADC had an AUC of 0.896. When b = 2000 s/mm2, the ADC had an AUC of 0.871. The DeLong test showed comparable diagnostic effectiveness among the different b-value groups except for between b-values of 2000 s/mm2and 1500 s/mm2, with a b-value of 2000 s/mm2showing lower effectiveness. Conclusion: This study suggests that 1500 s/mm2may be a suitable b-value to differentiate benign and malignant thyroid nodules in ZOOMit-DWI images, which yielded better image quality.

Addressing the safety of new food sources and production systems.

New food sources and production systems (NFPS) are garnering much attention, driven by international trade, changing consumer preferences, potential sustainability benefits, and innovations in climate-resilient food production systems. However, NFPS can introduce new challenges for food safety agencies and food manufacturers. Most food safety hazards linked to new foods have been identified in traditional foods. However, there can be some food safety challenges that are unique to new foods. New food ingredients, inputs, and processes can introduce unexpected contaminants. To realize the full potential of NFPS, there is a need for stakeholders from governments, the food industry, and the research community to collectively work to address and communicate the safety of NFPS products. This review outlines known food safety hazards associated with select NFPS products on the market, namely, plant-derived proteins, seaweeds, jellyfish, insects, microbial proteins, as well as foods derived from cell-based food production, precision fermentation, vertical farming, and 3D food printing. We identify common elements in emerging NFPS regulatory frameworks in various countries/regions. Furthermore, we highlight current efforts in harmonization of terminologies, use of recent scientific tools to fill in food safety knowledge gaps, and international multi-stakeholder collaborations to tackle safety challenges. Although there cannot be a one-size-fits-all approach when it comes to the regulatory oversight for ensuring the safety of NFPS, there is a need to develop consensus-based structured protocols or workflows among stakeholders to facilitate comprehensive, robust, and internationally harmonized approaches. These efforts increase consumers' confidence in the safety of new foods and contribute toward fair practices in the international trade of such foods.

Crown ether decorated silicon photonics for safeguarding against lead poisoning.

Lead (Pb2+) toxification is a concerning, unaddressed global public health crisis that leads to 1 million deaths annually. Yet, public policies to address this issue have fallen short. This work harnesses the unique abilities of crown ethers, which selectively bind to specific ions. This study demonstrates the synergistic integration of highly-scalable silicon photonics, with crown ether amine conjugation via Fischer esterification in an environmentally-friendly fashion. This realizes an integrated photonic platform that enables the in-operando, highly-selective and quantitative detection of various ions. The development dispels the existing notion that Fischer esterification is restricted to organic compounds, facilitating the subsequent amine conjugation for various crown ethers. The presented platform is specifically engineered for selective Pb2+ detection, demonstrating a large dynamic detection range, and applicability to field samples. The compatibility of this platform with cost-effective manufacturing indicates the potential for pervasive implementation of the integrated photonic sensor technology to safeguard against societal Pb2+ poisoning.

Xue Ping Tablets treat abnormal uterine bleeding via VEGF-ERK1/2 pathway.

Objective: To investigate the protective effects against abnormal uterine bleeding (AUB) and possible mechanisms of Xue Ping tablets (XPT) using a rat model. Methods: A total of 58 unmated female and 25 male SPF SD rats aged 8-9 weeks were selected. Eight unmated female rats were selected as the blank control group according to the complete random method. The other 50 rats were mated in a female/male ratio of 2:1. In the morning after mating, vaginal smears were collected. Presence of vaginal plug or sperm was regarded as the first day of pregnancy. All pregnant rats were given 8.3 mg/kg of mifepristone by gavage at 8:00 a.m. and 100 µg/kg misoprostol by gavage at 6:00 p.m. on the seventh day of pregnancy to induce incomplete abortion, thereby establishing a rat model of AUB. Forty rats were randomly divided into model, low- (220 mg/kg), medium- (441 mg/kg), high-dose (882 mg/kg) XPT, and positive control groups. The positive group was given 130 mg/kg Gong Xue Ning (GXN). The model group and the blank group were given an equal amount of distilled water. Results: Compared with the model group, the volume of bleeding in the positive and middle- and high-dose XPT groups decreased (P < 0.05). Moreover, compared with the model group, the progesterone levels in the positive and XPT groups were significantly increased. Immunohistochemistry showed that XPT significantly decreased the expression levels of VEGF, p-ERK, NF-κB, SAA, MMP-2, MMP-9, TIMP-1, TIMP-2 and TIMP-3. WB results showed that XPT significantly decreased the expression levels of p-ERK, MMP-9, NF-κB, MMP-2 and VEGF. QRT-PCR results showed that XPT significantly decreased the expression levels of VEGF, NF-κB, SAA, MMP-2, TIMP-1, TIMP-2 and TIMP-3 (P < 0.05). Conclusions: XPT could reduce AUB by inhibiting the inflammatory factors involved in the VEGF-ERK1/2 pathway.

Prognostic potentials of AI in ophthalmology: systemic disease forecasting via retinal imaging.

BACKGROUND: Artificial intelligence (AI) that utilizes deep learning (DL) has potential for systemic disease prediction using retinal imaging. The retina's unique features enable non-invasive visualization of the central nervous system and microvascular circulation, aiding early detection and personalized treatment plans for personalized care. This review explores the value of retinal assessment, AI-based retinal biomarkers, and the importance of longitudinal prediction models in personalized care. MAIN TEXT: This narrative review extensively surveys the literature for relevant studies in PubMed and Google Scholar, investigating the application of AI-based retina biomarkers in predicting systemic diseases using retinal fundus photography. The study settings, sample sizes, utilized AI models and corresponding results were extracted and analysed. This review highlights the substantial potential of AI-based retinal biomarkers in predicting neurodegenerative, cardiovascular, and chronic kidney diseases. Notably, DL algorithms have demonstrated effectiveness in identifying retinal image features associated with cognitive decline, dementia, Parkinson's disease, and cardiovascular risk factors. Furthermore, longitudinal prediction models leveraging retinal images have shown potential in continuous disease risk assessment and early detection. AI-based retinal biomarkers are non-invasive, accurate, and efficient for disease forecasting and personalized care. CONCLUSION: AI-based retinal imaging hold promise in transforming primary care and systemic disease management. Together, the retina's unique features and the power of AI enable early detection, risk stratification, and help revolutionizing disease management plans. However, to fully realize the potential of AI in this domain, further research and validation in real-world settings are essential.

Rice Origin Tracing Technology Based on Fluorescence Spectroscopy and Stoichiometry.

The origin of agricultural products is crucial to their quality and safety. This study explored the differences in chemical composition and structure of rice from different origins using fluorescence detection technology. These differences are mainly affected by climate, environment, geology and other factors. By identifying the fluorescence characteristic absorption peaks of the same rice seed varieties from different origins, and comparing them with known or standard samples, this study aims to authenticate rice, protect brands, and achieve traceability. The study selected the same variety of rice seed planted in different regions of Jilin Province in the same year as samples. Fluorescence spectroscopy was used to collect spectral data, which was preprocessed by normalization, smoothing, and wavelet transformation to remove noise, scattering, and burrs. The processed spectral data was used as input for the long short-term memory (LSTM) model. The study focused on the processing and analysis of rice spectra based on NZ-WT-processed data. To simplify the model, uninformative variable elimination (UVE) and successive projections algorithm (SPA) were used to screen the best wavelengths. These wavelengths were used as input for the support vector machine (SVM) prediction model to achieve efficient and accurate predictions. Within the fluorescence spectral range of 475-525 nm and 665-690 nm, absorption peaks of nicotinamide adenine dinucleotide (NADPH), riboflavin (B2), starch, and protein were observed. The origin tracing prediction model established using SVM exhibited stable performance with a classification accuracy of up to 99.5%.The experiment demonstrated that fluorescence spectroscopy technology has high discrimination accuracy in tracing the origin of rice, providing a new method for rapid identification of rice origin.

Time-varying impacts of green credit on carbon productivity in China: New evidence from a non-parametric panel data model.

In the context of global climate change threatening human survival, and in a post-pandemic era that advocates for a global green and low-carbon economic recovery, conducting an in-depth analysis to assess whether green finance can effectively support low-carbon economic development from a dynamic perspective is crucial. Unlike existing research, which focuses solely on the average effects of green credit (GC) on carbon productivity (CP), we introduce a non-parametric panel data model to investigate GC's impact on CP across 30 provinces in China from 2003 to 2021, verifying a significant time-varying effect. Specifically, during the first phase (2003-2008), GC negatively impacted CP. In the second phase (2009-2014), this negative influence gradually diminished and transformed into a positive effect. In the third phase (2015-2021), GC continued to positively influence CP, although this effect became insignificant during the pandemic. Further subgroup analysis reveals that in the regions with low environmental regulations, GC did not significantly boost CP throughout the sample period. In contrast, in the regions with high environmental regulations, GC's positive effect persisted in the mid to late stages of the sample period. Additionally, compared to the regions with low levels of marketization, the impact of GC on CP was more pronounced in highly marketized regions. This indicates that the promoting effect of GC on CP depends on strong support from environmental regulations and well-functioning market mechanisms. By adopting a non-parametric approach, this study reveals variations in the impact of GC on CP across different stages and under the influence of the pandemic shock, offering new insights into the relationship between GC and China's CP.