Extended vs. Traditional Operating Table in C-Arm-Guided Percutaneous Balloon Compression of the Gasserian Ganglion for Trigeminal Neuralgia: A Prospective Study.

BACKGROUND: The degree of cervical extension required during percutaneous balloon compression (PBC) of the Gasserian ganglion for trigeminal neuralgia (TN) varies among patients, but the traditional operating tables often fail to fulfil each patient's individual requirements. OBJECTIVE: This study aimed to compare the clinical efficacy of an extended operating table to that of a traditional operating table in C-arm-guided PBC of the Gasserian ganglion for TN. STUDY DESIGN: This is a consecutively prospective comparative study. SETTING: Fujian Provincial Hospital. METHODS: This study consecutively enrolled patients with TN who were scheduled for PBC of the Gasserian ganglion between February 2020 and February 2023. Some patients who underwent the procedure were placed on an extended operating table, whereas others were placed on a traditional operating table. The primary outcome was the duration of the cervical extension. The secondary outcomes included the duration of patient positioning, operation duration, C-arm radiation exposure, and pressure pain threshold of the bilateral trapezius, levator scapulae, and upper trapezius muscles, as well as the occurrence rate of postoperative complications. RESULTS: A total of 76 patients (mean age of 53.18 ± 2.74 years old, 44 men) were enrolled, with 38 patients using the extended operating table. The baseline characteristics between the extended and traditional operating table groups were comparable (P > 0.05). The duration of the cervical extension was significantly shorter in patients who used an extended operating table than in those who used a traditional operating table (58.77 ± 2.11 vs. 76.49 ± 2.16, P < 0.001). Patients who used an extended operating table exhibited significantly shorter positioning time (3.40 ± 0.45 vs. 10.32 ± 0.66, P < 0.001), operation duration (50.88 ± 2.95 vs. 76.49 ± 2.16, P = 0.020), and C-arm radiation exposure (8.71 ± 1.06 vs. 10.87 ± 1.26, P < 0.001) and significantly higher postoperative 24-hour pressure pain thresholds of the bilateral trapezius muscle (left: 274.39 ± 10.42 vs. 187.05 ± 6.19, P < 0.001; right: 272.89 ± 11.62 vs. 185.42 ± 6.88, P < 0.001), bilateral levator scapulae (left: 357.71 ± 11.37 vs. 245.34 ± 12.87, P < 0.001; right: 353.71 ± 14.14 vs. 245.05 ± 13.20, P < 0.001), and bilateral upper trapezius (left: 253.63 ± 10.91 vs. 163.95 ± 8.44, P < 0.001; right: 255.66 ± 11.99 vs. 165.32 ± 7.93, P < 0.001) compared to those who used a traditional operating table. The occurrence of postoperative adverse events, such as headache, neck pain, back pain, and limb numbness, was significantly lower in the extended operating table group (2.63% vs. 13.79%, P = 0.047) than in the traditional operating table group. LIMITATIONS: This is a single-center study with a small, homogeneous sample, limiting the generalizability of findings; the absence of randomization raises concerns about potential bias; long-term follow-up and recurrence rate measurements were lacking. CONCLUSION: This study found that the extended operating table may be an alternative equipment option for C-arm-guided PBC of the Gasserian ganglion for TN.

Influence of information anxiety on core competency of registered nurses: mediating effect of digital health literacy.

BACKGROUND: In the information age of health care, nurses often face information overload, leading to negative emotions, e.g., anxiety that may impede the adoption of evidence-based practice and clinical decision-making process. Nurses with higher digital health literacy can effectively process and manage information. Despite this, no research has explored the relationship between information anxiety, digital health literacy, and core competency among nurses. Therefore, this study aims to investigate the mediating effects of digital health literacy on information anxiety and core competency among nurses. METHODS: From July to October 2023, the data for this cross-sectional study were collected. The study surveyed a total of 608 nurses from three tertiary hospitals in Fujian Province, and the survey instruments included a sociodemographic information questionnaire, Chinese revision version of the Digital Health Literacy Instrument (CR-DHLI), Information Anxiety Scale (IAS), and Competency Inventory for Registered Nurses (CIRN). Descriptive statistics and Pearson correlation analysis were conducted using SPSS 29.0, and the mediating effect of digital health literacy was examined using Mplus. RESULTS: The mean score of nurses' information anxiety, digital health literacy, and core competency was 3.03 ± 0.91, 2.46 ± 0.56, 2.72 ± 0.88, respectively. And the mediation model of information anxiety on core competency for nurses showed a good model fit index (χ²/df = 2.207, CFI = 0.985, TLI = 0.982, RMSEA = 0.045, SRMR = 0.035). Digital health literacy was positively correlated with nurses' core competency but negatively correlated with information anxiety. The results of path analysis revealed that information anxiety had negative and significant direct effects on NCC (ß = -0.119, P = 0.004) and DHL (ß = -0.297, P < 0.001). DHL had a positive effect on NCC (ß = 0.306, P < 0.001). Digital health literacy played a partial mediating role, accounting for 43.54% of the relationship between information anxiety and nurses' core competency. CONCLUSIONS: Information anxiety among nurses was at relatively high levels, which had a negative impact on the core competency of nurses. This issue requires attention from nursing managers. The mediating role of digital health literacy in the relationship between information anxiety and core competency among nurses has been established. Nursing managers should strengthen the evaluation of nurses' DHL and devise effective support strategies to enhance DHL, thus improving the core competence of nurses in information age.

Correlation of weight-adjusted waist index with diabetic retinopathy in US adults aged ≥ 40 years: the NHANES 2005-2008.

The effect of obesity on diabetic retinopathy (DR) has been under scrutiny in recent years. The weight-adjusted waist index (WWI) has been reported to better assess the degree of centripetal obesity in humans, with a higher WWI indicating a higher amount of body fat. The present study is the first to investigate the relationship between WWI and DR and to assess the difference in the predictive ability of WWI and other obesity indices for DR. This cross-sectional study utilized data from the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2008. Researchers collected complete anthropometric data (weight and waist circumference), dilated fundus images, and adult baseline information. Independent interactions between WWI and DR were investigated using multivariate regression and subgroup analyses. In addition, nonlinear associations and threshold effects between WWI and DR were searched for by smoothed curve fitting and by two-stage linear regression modeling. Finally, the receiver operating characteristic curve (ROC) was plotted to compare the predictive power of WWI with other indices of obesity for DR. A total of 1228 eligible patients with diabetes were collected in this study. There were 631 (51.38%) males and 597 (48.62%) females. Among them, 545 (44.38%) were without diabetic retinopathy, 555 (45.20%) had mild diabetic retinopathy, 100 (8.14%) had moderate/severe diabetic retinopathy and 28 (2.28%) had proliferative diabetic retinopathy (PDR). In the fully adjusted model, each unit increase in WWI was associated with a corresponding 31% reduction in the prevalence of DR [OR (95% CI) = 0.69 (0.58, 0.83)]. Compared with subjects in the lowest quartile (quartile 1), subjects in the highest quartile of WWI levels (quartile 4) were 45% less likely to have DR [OR (95% CI) = 0.55 (0.38, 0.78)]. In the case of female participants, a U-shaped correlation was observed between WWI and DR with an inflection point of 11.49. WWI also possesses a better predictive ability for DR compared to obesity indicators such as weight, BMI, and ABSI. This study showed a negative association between WWI and DR in the U.S. population aged 40 years and older.

Study on the relationship between berry, grape, red wine consumption and cognitive impairment in middle-aged and elderly people in China.

Introduction: Some evidence suggests that fruit and alcohol consumption may be related to cognitive impairment. Methods: This study conducted a cross-sectional study on the "correlation between eating habits and cognitive function of the middle-aged and elderly population in China." The purpose of this study is to explore the relationship between fruit consumption, drinking habits and cognitive impairment in Chinese people over 50 years old. Results: The results show that the protective factors of cognitive impairment are the preference for berries and the daily intake of 100-200 grams grapes in Chinese middle-aged and elderly people with objective cognitive unimpaired. The habit of drinking red wine is a protective factor for cognitive impairment in Chinese middle-aged and elderly people with mild cognitive impairment (MCI). However, this study did not find the relationship between white wine, beer, yellow rice wine, liquor and cognitive impairment. Discussion: Therefore, we believe that berries, grapes and red wine consumption can protect the cognitive function of the middle-aged and elderly people in China, and the protective function is related to the basic cognitive state.

A Two-color Single-molecule Sequencing Platform and Its Clinical Applications.

DNA sequencers have become increasingly important research and diagnostic tools over the past 20 years. In this study, we developed a single-molecule desktop sequencer, GenoCare 1600 (GenoCare), which utilizes amplification-free library preparation and two-color sequencing-by-synthesis chemistry, making it more user-friendly compared with previous single-molecule sequencing platforms for clinical use. Using the GenoCare platform, we sequenced an Escherichia coli standard sample and achieved a consensus accuracy exceeding 99.99%. We also evaluated the sequencing performance of this platform in microbial mixtures and coronavirus disease 2019 (COVID-19) samples from throat swabs. Our findings indicate that the GenoCare platform allows for microbial quantitation, sensitive identification of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus, and accurate detection of virus mutations, as confirmed by Sanger sequencing, demonstrating its remarkable potential in clinical application.

The epithelial C15ORF48/miR-147-NDUFA4 axis is an essential regulator of gut inflammation, energy metabolism, and the microbiome.

Chronic inflammation is epidemiologically linked to the pathogenesis of gastrointestinal diseases, including inflammatory bowel disease (IBD) and colorectal cancer (CRC). However, our understanding of the molecular mechanisms controlling gut inflammation remains insufficient, hindering the development of targeted therapies for IBD and CRC. In this study, we uncovered C15ORF48/miR-147 as a negative regulator of gut inflammation, operating through the modulation of epithelial cell metabolism. C15ORF48/miR-147 encodes two molecular products, C15ORF48 protein and miR-147-3p microRNA, which are predominantly expressed in the intestinal epithelium. C15ORF48/miR-147 ablation leads to gut dysbiosis and exacerbates chemically induced colitis in mice. C15ORF48 and miR-147-3p work together to suppress colonocyte metabolism and inflammation by silencing NDUFA4, a subunit of mitochondrial complex IV (CIV). Interestingly, the C15ORF48 protein, a structural paralog of NDUFA4, contains a unique C-terminal α-helical domain crucial for displacing NDUFA4 from CIV and its subsequent degradation. NDUFA4 silencing hinders NF-κB signaling activation and consequently attenuates inflammatory responses. Collectively, our findings have established the C15ORF48/miR-147-NDUFA4 molecular axis as an indispensable regulator of gut homeostasis, bridging mitochondrial metabolism and inflammation.

Machine learning in soil nutrient dynamics of alpine grasslands.

As a terrestrial ecosystem, alpine grasslands feature diverse vegetation types and play key roles in regulating water resources and carbon storage, thus shaping global climate. The dynamics of soil nutrients in this ecosystem, responding to regional climate change, directly impact primary productivity. This review comprehensively explored the effects of climate change on soil nitrogen (N), phosphorus (P), and their balance in the alpine meadows, highlighting the significant roles these nutrients played in plant growth and species diversity. We also shed light on machine learning utilization in soil nutrient evaluation. As global warming continues, alongside shifting precipitation patterns, soil characteristics of grasslands, such as moisture and pH values vary significantly, further altering the availability and composition of soil nutrients. The rising air temperature in alpine regions substantially enhances the activity of soil organisms, accelerating nutrient mineralization and the decomposition of organic materials. Combined with varied nutrient input, such as increased N deposition, plant growth and species composition are changing. With the robust capacity to use and integrate diverse data sources, including satellite imagery, sensor-collected spectral data, camera-captured videos, and common knowledge-based text and audio, machine learning offers rapid and accurate assessments of the changes in soil nutrients and associated determinants, such as soil moisture. When combined with powerful large language models like ChatGPT, these tools provide invaluable insights and strategies for effective grassland management, aiming to foster a sustainable ecosystem that balances high productivity and advanced services with reduced environmental impacts.

Advancing stroke therapy: the potential of MOF-based nanozymes in biomedical applications.

In this study, we explored the growing use of metal-organic framework (MOF)-based Nanozymes in biomedical research, with a specific emphasis on their applications in stroke therapy. We have discussed the complex nature of stroke pathophysiology, highlighting the crucial role of reactive oxygen species (ROS), and acknowledging the limitations of natural enzymes in addressing these challenges. We have also discussed the role of nanozymes, particularly those based on MOFs, their structural similarities to natural enzymes, and their potential to improve reactivity in various biomedical applications. The categorization of MOF nanozymes based on enzyme-mimicking activities is discussed, and their applications in stroke therapy are explored. We have reported the potential of MOF in treating stroke by regulating ROS levels, alleviation inflammation, and reducing neuron apoptosis. Additionally, we have addressed the challenges in developing efficient antioxidant nanozyme systems for stroke treatment. The review concludes with the promise of addressing these challenges and highlights the promising future of MOF nanozymes in diverse medical applications, particularly in the field of stroke treatment.

The associations between nutritional status and physical frailty and Alzheimer's disease plasma biomarkers in older cognitively unimpaired adults with positive of amyloid-ß PET.

BACKGROUND & AIMS: It has been revealed good nutritional status and no physical frailty, which are modifiable lifestyle factors, are linked to less cognitive decline and a lower risk of Alzheimer's disease (AD). We aimed to investigate the associations between nutritional status and physical frailty and plasma AD biomarkers, especially the Tau-associated biomarkers in older cognitively unimpaired (CU) adults with higher ß-amyloid (Aß) burden. METHODS: The nutritional status and physical frailty were assessed via Mini-Nutritional Assessment Short-Form (MNA-SF) and Fried frailty index. The participants underwent the examination of plasma AD biomarkers and 18F-florbetapir PET scan as well as 18F-MK6240 PET in the validation cohort. Correlation and multiple linear regression analyses were used to investigate the associations between nutritional status and frailty and AD biomarkers. RESULTS: Two cohorts were included in our study. A total of 129 participants with Aß-PET positive were enrolled in the development cohort. Multiple linear regression analysis showed MNA-SF scores, normal nutritional status, Fried frailty index scores, frailty and some domains of frailty including weight loss, maximal grip strength and exhaustion were associated with plasma p-Tau-181. Furthermore, weight loss, Fried frailty index scores and frailty were associated with higher Aß-PET standard uptake value ratio. We further performed subgroup analyses stratified by age, sex and apolipoprotein E ε4 genotype to investigate the beneficial characteristics of nutrition and frailty in the special subgroups. Validation cohort contained 38 Aß-PET positive participants. MNA-SF scores, normal nutritional status, Fried frailty index scores and frailty were associated with Tau burden evaluated by 18F-MK6240 PET Braak-like stages. CONCLUSIONS: Our data indicates that normal nutritional status and no physical frailty may be associated with expected trend of plasma AD biomarkers, especially less Tau pathology in older CU adults with Aß deposition. Adjusting to these characteristics of nutrition and physical frailty may help reduce the risk of AD development.

A difficulty-aware and task-augmentation method based on meta-learning model for few-shot diabetic retinopathy classification.

Background: Accurate classification techniques are essential for the early diagnosis and treatment of patients with diabetic retinopathy (DR). However, the limited amount of annotated DR data poses a challenge for existing deep-learning models. This article proposes a difficulty-aware and task-augmentation method based on meta-learning (DaTa-ML) model for few-shot DR classification with fundus images. Methods: The difficulty-aware (Da) method operates by dynamically modifying the cross-entropy loss function applied to learning tasks. This methodology has the ability to intelligently down-weight simpler tasks, while simultaneously prioritizing more challenging tasks. These adjustments occur automatically and aim to optimize the learning process. Additionally, the task-augmentation (Ta) method is used to enhance the meta-training process by augmenting the number of tasks through image rotation and improving the feature-extraction capability. To implement the expansion of the meta-training tasks, various task instances can be sampled during the meta-training stage. Ultimately, the proposed Ta method was introduced to optimize the initialization parameters and enhance the meta-generalization performance of the model. The DaTa-ML model showed promising results by effectively addressing the challenges associated with few-shot DR classification. Results: The Asia Pacific Tele-Ophthalmology Society (APTOS) 2019 blindness detection data set was used to evaluate the DaTa-ML model. The results showed that with only 1% of the training data (5-way, 20-shot) and a single update step (training time reduced by 90%), the DaTa-ML model had an accuracy rate of 89.6% on the test data, which is a 1.7% improvement over the transfer-learning method [i.e., residual neural network (ResNet)50 pre-trained on ImageNet], and a 16.8% improvement over scratch-built models (i.e., ResNet50 without pre-trained weights), despite having fewer trainable parameters (the parameters used by the DaTa-ML model are only 0.47% of the ResNet50 parameters). Conclusions: The DaTa-ML model provides a more efficient DR classification solution with little annotated data and has significant advantages over state-of-the-art methods. Thus, it could be used to guide and assist ophthalmologists to determine the severity of DR.

Community composition of phytopathogenic fungi significantly influences ectomycorrhizal fungal communities during subtropical forest succession.

Ectomycorrhizal fungi (EMF) can form symbiotic relationships with plants, aiding in plant growth by providing access to nutrients and defense against phytopathogenic fungi. In this context, factors such as plant assemblages and soil properties can impact the interaction between EMF and phytopathogenic fungi in forest soil. However, there is little understanding of how these fungal interactions evolve as forests move through succession stages. In this study, we used high-throughput sequencing to investigate fungal communities in young, intermediate, and old subtropical forests. At the genus level, EMF communities were dominated by Sebacina, Russula, and Lactarius, while Mycena was the most abundant genus in pathogenic fungal communities. The relative abundances of EMF and phytopathogenic fungi in different stages showed no significant difference with the regulation of different factors. We discovered that interactions between phytopathogenic fungi and EMF maintained a dynamic balance under the influence of the differences in soil quality attributed to each forest successional stage. The community composition of phytopathogenic fungi is one of the strong drivers in shaping EMF communities over successions. In addition, the EMF diversity was significantly related to plant diversity, and these relationships varied among successional stages. Despite the regulation of various factors, the positive relationship between the diversity of phytopathogenic fungi and EMF remained unchanged. However, there is no significant difference in the ratio of the abundance of EMF and phytopathogenic fungi over the course of successions. These results will advance our understanding of the biodiversity-ecosystem functioning during forest succession. KEY POINTS: •Community composition of both EMF and phytopathogenic fungi changed significantly over forest succession. •Phytopathogenic fungi is a key driver in shaping EMF community. •The effect of plant Shannon's diversity on EMF communities changed during the forest aging process.

Auto-inhibition and activation of a short Argonaute-associated TIR-APAZ defense system.

Short prokaryotic Ago accounts for most prokaryotic Argonaute proteins (pAgos) and is involved in defending bacteria against invading nucleic acids. Short pAgo associated with TIR-APAZ (SPARTA) has been shown to oligomerize and deplete NAD+ upon guide-mediated target DNA recognition. However, the molecular basis of SPARTA inhibition and activation remains unknown. In this study, we determined the cryogenic electron microscopy structures of Crenotalea thermophila SPARTA in its inhibited, transient and activated states. The SPARTA monomer is auto-inhibited by its acidic tail, which occupies the guide-target binding channel. Guide-mediated target binding expels this acidic tail and triggers substantial conformational changes to expose the Ago-Ago dimerization interface. As a result, SPARTA assembles into an active tetramer, where the four TIR domains are rearranged and packed to form NADase active sites. Together with biochemical evidence, our results provide a panoramic vision explaining SPARTA auto-inhibition and activation and expand understanding of pAgo-mediated bacterial defense systems.

Senecavirus A induces mitophagy to promote self-replication through direct interaction of 2C protein with K27-linked ubiquitinated TUFM catalyzed by RNF185.

Senecavirus A (SVA) is a newly emerging picornavirus associated with swine vesicular lesions and neonatal mortality, threatening the global pig industry. Despite sustained efforts, the molecular mechanisms of SVA pathogenesis have not yet been fully elucidated. Here, we demonstrate for the first time that SVA infection can induce complete mitophagy in host cells, which depends on SVA replication. Mitophagy has been subsequently proven to promote SVA replication in host cells. Genome-wide screening of SVA proteins involved in inducing mitophagy showed that although VP2, VP3, 2C, and 3A proteins can independently induce mitophagy, only the 2C protein mediates mitophagy through direct interaction with TUFM (Tu translation elongation factor, mitochondrial). The glutamic acids at positions 196 and 211 of TUFM were shown to be two key sites for its interaction with 2C protein. Moreover, TUFM was discovered to interact directly with BECN1 and indirectly with the ATG12-ATG5 conjugate. Further experiments revealed that TUFM needs to undergo ubiquitination modification before being recognized by the macroautophagy/autophagy receptor protein SQSTM1/p62, and E3 ubiquitin ligase RNF185 catalyzes K27-linked polyubiquitination of TUFM through the interaction between RNF185's transmembrane domain 1 and TUFM to initiate SVA-induced mitophagy. The ubiquitinated TUFM is recognized and bound by SQSTM1, which in turn interacts with MAP1LC3/LC3, thereby linking the 2C-anchored mitochondria to the phagophore for sequestration into mitophagosomes, which ultimately fuse with lysosomes to achieve complete mitophagy. Overall, our results elucidated the molecular mechanism by which SVA induces mitophagy to promote self-replication and provide new insights into SVA pathogenesis.Abbreviations: aa: amino acid; Baf A1: bafilomycin A1; BHK-21: baby hamster kidney-21; CCCP: carbonyl cyanide m-chlorophenyl hydrazone; co-IP: co-immunoprecipitation; CQ: chloroquine; DAPI: 4',6-diamidino-2'-phenylindole; DMSO: dimethyl sulfoxide; EGFP: enhanced green fluorescent protein; ER: endoplasmic reticulum; GAPDH: glyceraldehyde-3-phosphate dehydrogenase; GFP: green fluorescent protein; GST: glutathione S-transferase; HA: hemagglutinin; hpi: hours post-infection; hpt: hours post-transfection; IPTG: isopropyl ß-D-1-thiogalactopyranoside; mAb: monoclonal antibody; MAP1LC3/LC3: microtubule associated protein 1 light chain 3; MAVS: mitochondrial antiviral signaling protein; Mdivi-1: mitochondrial division inhibitor-1; MOI: multiplicity of infection; mRFP: monomeric red fluorescent protein; MS: mass spectrometry; ORF: open reading frame; PBS: phosphate-buffered saline; SD: standard deviation; SQSTM1/p62: sequestosome 1; ST: swine testis; SVA: Senecavirus A; TCID50: 50% tissue culture infectious dose; TIMM23: translocase of inner mitochondrial membrane 23; TM: transmembrane; TOMM20: translocase of outer mitochondrial membrane 20; TUFM: Tu translation elongation factor, mitochondrial; Ub: ubiquitin; UV: ultraviolet; VDAC1: voltage dependent anion channel 1; WT: wild-type; µg: microgram; µm: micrometer; µM: micromole.

Mammalian trans-editing factor ProX is able to deacylate tRNAThr mischarged with alanine.

The precise coupling of tRNAs with their cognate amino acids, known as tRNA aminoacylation, is a stringently regulated process that governs translation fidelity. To ensure fidelity, organisms deploy multiple layers of editing mechanisms to correct mischarged tRNAs. Prior investigations have unveiled the propensity of eukaryotic AlaRS to erroneously attach alanine onto tRNACys and tRNAThr featuring the G4:U69 base pair. In light of this, and given ProXp-ala's capacity in deacylating Ala-tRNAPro, we embarked on exploring whether this trans-editing factor could extend its corrective function to encompass these mischarged tRNAs. Our in vitro deacylation assays demonstrate that murine ProXp-ala (mProXp-ala) is able to efficiently hydrolyze Ala-tRNAThr, while Ala-tRNACys remains unaffected. Subsequently, we determined the first structure of eukaryotic ProXp-ala, revealing a dynamic helix α2 involved in substrate binding. By integrating molecular dynamics simulations and biochemical assays, we pinpointed the pivotal interactions between mProXp-ala and Ala-tRNA, wherein the basic regions of mProXp-ala as well as the C3-G70 plays essential role in recognition. These observations collectively provide a cogent rationale for mProXp-ala's deacylation proficiency against Ala-tRNAThr. Our findings offer valuable insights into the translation quality control within higher eukaryotic organisms, where the fidelity of translation is safeguarded by the multi-functionality of extensively documented proteins.

Correlation of hemoglobin levels with diabetic retinopathy in US adults aged ≥40 years: the NHANES 2005-2008.

Purpose: The aim of this study was to explore the connection between hemoglobin levels and diabetic retinopathy (DR). Methods: Cross-sectional research used data from the National Health and Nutrition Examination Survey (NHANES) 2005-2008. A multiple logistic regression analysis was performed to investigate the association between DR and hemoglobin levels. Additionally, generalized additivity models and smoothed curve fitting were carried out. Results: After adjusting for several covariates, there was a negative association between hemoglobin levels and DR in the study, which included 837 participants. The negative association between hemoglobin levels and DR was present in men and women, the obese (BMI > 30), and 60- to 69-year-olds in subgroup analyses stratified by sex, BMI, and age. The association between hemoglobin levels and DR in the normal weight group (BMI < 25) displayed an inverted U-shaped curve with an inflection point of 13.7 (g/dL). Conclusion: In conclusion, our research reveals that high hemoglobin levels are related to a decreased risk of DR. Ascertaining the hemoglobin levels ought to be regarded as an integral facet of the monitoring regimen for patients with diabetic complications and that the risk of DR is reduced through the detection and management of hemoglobin levels.

Vitamin D alleviates neuronal injury in cerebral ischemia-reperfusion via enhancing the Nrf2/HO-1 antioxidant pathway to counteract NLRP3-mediated pyroptosis.

Vitamin D supplementation is reported to have anti-inflammatory and neuroprotective effects during cerebral ischemia-reperfusion injury (CIRI), but the protective mechanism has not been fully elucidated. In this study, rats were given prior administrations of 1,25-vitamin D3 (1,25-VitD3) for a week and subjected to 2 hours of middle cerebral artery occlusion (MCAO) followed by 24 hours of reperfusion. Supplementation with 1,25-VitD3 significantly reduced neurological deficit scores and cerebral infarction areas, and increased surviving neurons. Oxygen-glucose deprivation/reoxygenation (OGD/R)-induced rat cortical neuron cells (RN-C) were subjected to 1,25-VitD3 treatment. Administration of 1,25-VitD3 improved cell viability and inhibited lactate dehydrogenase (LDH) activity and cell apoptosis in OGD/R-stimulated RN-C, as assessed by 3-(4,5-dimethyl-2-thiazolyl)-2,5-diphenyl-2-h-tetrazolium bromide (MTT) assay, LDH activity assays and TdT-mediated dUTP nick end labeling (TUNEL) staining, respectively. Notably, western blot assay showed that 1,25-VitD3 upregulated nuclear factor erythroid 2-related factor 2 (Nrf2) and heme oxygenase 1 (HO-1) to alleviate oxidative stress, but reduced proteins and inflammatory cytokines related to NLR pyrin domain containing 3 (NLRP3)-mediated pyroptosis, resulting in decreased pyroptosis and neuroinflammation in vivo and in vitro. Transfection of pcDNA-Nrf2 in RN-C also inhibited pyroptosis and OGD/R-induced cell death whereas breakdown of Nrf2 signals destroyed the protective effect of 1,25-VitD3 on OGD/R-stimulated RN-C. In conclusion, 1,25-VitD3 protects neurons against CIRI through activating the antioxidant Nrf2/HO-1 pathway to restrain NLRP3-mediated pyroptosis.

Real-Time Seismic Intensity Measurements Prediction for Earthquake Early Warning: A Systematic Literature Review.

With the gradual development of and improvement in earthquake early warning systems (EEWS), more accurate real-time seismic intensity measurements (IMs) methods are needed to assess the impact range of earthquake intensities. Although traditional point source warning systems have made some progress in terms of predicting earthquake source parameters, they are still inadequate at assessing the accuracy of IMs predictions. In this paper, we aim to explore the current state of the field by reviewing real-time seismic IMs methods. First, we analyze different views on the ultimate earthquake magnitude and rupture initiation behavior. Then, we summarize the progress of IMs predictions as they relate to regional and field warnings. The applications of finite faults and simulated seismic wave fields in IMs predictions are analyzed. Finally, the methods used to evaluate IMs are discussed in terms of the accuracy of the IMs measured by different algorithms and the cost of alerts. The trend of IMs prediction methods in real time is diversified, and the integration of various types of warning algorithms and of various configurations of seismic station equipment in an integrated earthquake warning network is an important development trend for future EEWS construction.