Associations of genetically predicted iron status with 24 gastrointestinal diseases and gut microbiota: a Mendelian randomization study.

Background: Iron status has been implicated in gastrointestinal diseases and gut microbiota, however, confounding factors may influence these associations. Objective: We performed Mendelian randomization (MR) to investigate the associations of iron status, including blood iron content, visceral iron content, and iron deficiency anemia with the incidence of 24 gastrointestinal diseases and alterations in gut microbiota. Methods: Independent genetic instruments linked with iron status were selected using a genome-wide threshold of p = 5 × 10-6 from corresponding genome-wide association studies. Genetic associations related to gastrointestinal diseases and gut microbiota were derived from the UK Biobank, the FinnGen study, and other consortia. Results: Genetically predicted higher levels of iron and ferritin were associated with a higher risk of liver cancer. Higher levels of transferrin saturation were linked to a decreased risk of celiac disease, but a higher risk of non-alcoholic fatty liver disease (NAFLD) and liver cancer. Higher spleen iron content was linked to a lower risk of pancreatic cancer. Additionally, higher levels of liver iron content were linked to a higher risk of NAFLD and liver cancer. However, certain associations lost their statistical significance upon accounting for the genetically predicted usage of cigarettes and alcohol. Then, higher levels of iron and ferritin were associated with 11 gut microbiota abundance, respectively. In a secondary analysis, higher iron levels were associated with lower diverticular disease risk and higher ferritin levels with increased liver cancer risk. Higher levels of transferrin saturation were proven to increase the risk of NAFLD, alcoholic liver disease, and liver cancer, but decrease the risk of esophageal cancer. MR analysis showed no mediating relationship among iron status, gut microbiota, and gastrointestinal diseases. Conclusion: This study provides evidence suggesting potential causal associations of iron status with gastrointestinal diseases and gut microbiota, especially liver disease.

Significant improvement of n-contact performance and wall plug efficiency of AlGaN-based deep ultraviolet light-emitting diodes by atomic layer etching.

The reactive ion etching (RIE) process is needed to fabricate deep ultraviolet (DUV) light-emitting diodes (LEDs). However, the n-contact performance deteriorates when the high-Al n-AlGaN surface undergoes RIE, leading to decreased LED performance. In this study, we employed an atomic layer etching (ALE) technology to eliminate surface damage generated during the mesa etching process, thus enhancing the n-Al0.65Ga0.35N ohmic contact. The improved contact performance reduced LED operation voltage and mitigated device heat generation. It was observed that DUV LEDs treated with 200 cycles of ALE showed a reduction in operating voltage from 8.3 to 5.2 V at 10 mA, with a knee voltage of 4.95 V. The peak wall plug efficiency (WPE) was approximately 1.74 times that of reference devices. The x-ray photoelectron spectroscopy (XPS) analysis revealed that ALE removed the surface damage layer induced by plasma etching, eliminating surface nitrogen vacancies and increasing surface electron concentration. Consequently, it facilitated better ohmic contact formation on n-Al0.65Ga0.35N. This study demonstrates that the ALE technology achieves etching with minor surface damage and is suitable for use in III-nitride materials and devices to remove surface defects and contaminations, leading to improved device performance.

Cerebral blood flow in the paracentral lobule is associated with poor subjective sleep quality among patients with a history of methadone maintenance treatment.

Introduction: Sleep disorders are prevalent and significant among individuals receiving methadone maintenance treatment (MMT), adversely affecting their quality of life and treatment adherence. While cerebral blood flow (CBF) plays a crucial role in the development of various diseases, its relationship with sleep disorders remains uncertain. This observational study focuses on possible correlations between CBF and poor subjective sleep quality in MMT patients. Methods: A total of 75 participants with a history of MMT were recruited and assessed using pseudo-continuous arterial spin labeling magnetic resonance imaging to determine CBF. A LAASO regression model was employed to identify the region of interest (ROI) most associated with sleep disturbance. The association between the CBF of the ROI and the Pittsburgh Sleep Quality Index (PSQI) was examined using regression analyses. Age, gender, BMI, history of hypertension, diabetes, hyperlipidemia, and methadone withdrawal were included as covariates. Results: Among MMT patients with poor subjective sleep quality, significantly higher CBF was observed in the right paracentral lobule (56.1057 ± 11.1624 ml/100 g/min, p = 0.044), right cerebelum_3 (56.6723 ± 15.3139 ml/100 g/min, p = 0.026), right caudate nucleus (48.9168 ± 6.9910 ml/100 g/min, p = 0.009), and left caudate nucleus (47.6207 ± 6.1374 ml/100 g/min, p = 0.006). Furthermore, a positive correlation was found between CBF in the right paracentral lobule and the total PSQI score (ß = 0.1135, p = 0.0323), with the association remaining significant even after adjustment for covariates (ß = 0.1276, p = 0.0405). Conclusion: MMT patients with poor subjective sleep quality exhibited significantly altered CBF in multiple brain regions. The association between increased CBF in the right paracentral lobule and subjective sleep quality in MMT patients could be crucial in understanding sleep disorders in individuals undergoing MMT. Clinical trial registration: https://www.chictr.org.cn/, identifier: ChiCTR2100051931.

Insight into the short-term effects of TiO2 nanoparticles on the cultivation of medicinal plants: Comprehensive analysis of Panax ginseng physiological indicators, soil physicochemical properties and microbiome.

To meet societal needs, a large number of medicinal plants are cultivated artificially. However, issues such as diseases and continuous cropping obstacles (CCO) have severely impacted their quality and yield. Exploring and innovating the cultivation technology for medicinal plants is essential to meet their high demand and ensure sustainable development. The role of titanium dioxide nanoparticles (nano-TiO2) in medicinal plant cultivation remains unclear. To advance the application of nanotechnology in this field, a comprehensive exploration of its potential benefits is necessary. In this study, nano-TiO2 was applied to ginseng (Panax ginseng C.A. Meyer) to acquire a holistic comprehension of its impact on ginseng growth, rhizosphere, and ginseng-used soil. Our findings reveal that nano-TiO2 significantly enhances ginseng root activity and has notable effects on antioxidant enzyme systems. The two concentrations of nano-TiO2 markedly influenced the structure and composition of microbial communities in the rhizosphere and ginseng-used soil, including key microorganisms such as Chloroflexi and Acidobacteriota, which are closely involved in soil function. Furthermore, nano-TiO2 altered the competitive and cooperative relationships within microbial networks. Nano-TiO2 application significantly increased soil organic matter (SOM) content in rhizosphere and ginseng-used soils and affected the activities of several important soil enzymes. Environmental factors, such as EC, pH, and soil nutrients, were found to be the main factors influencing the microbial community. In conclusion, our findings illuminate the complex effects of nano-TiO2 on the "plant-microbial-soil" system in the context of ginseng cultivation. This work offers novel strategies for optimizing medicinal plant growth and development, as well as improving cultivated soil by using nanomaterials.

MIGP: Metapath Integrated Graph Prompt Neural Network.

Graph neural networks (GNNs) leveraging metapaths have garnered extensive utilization. Nevertheless, the escalating parameters and data corpus within graph pre-training models incur mounting training costs. Consequently, GNN models encounter hurdles including diminished generalization capacity and compromised performance amidst small sample datasets. Drawing inspiration from the efficacy demonstrated by self-supervised learning methodologies in natural language processing, we embark on an exploration. We endeavor to imbue graph data with augmentable, learnable prompt vectors targeting node representation enhancement to foster superior adaptability to downstream tasks. This paper proposes a novel approach, the Metapath Integrated Graph Prompt Neural Network (MIGP), which leverages learnable prompt vectors to enhance node representations within a pretrained model framework. By leveraging learnable prompt vectors, MIGP aims to address the limitations posed by mall sample datasets and improve GNNs' model generalization. In the pretraining stage, we split symmetric metapaths in heterogeneous graphs into short metapaths and explicitly propagate information along the metapaths to update node representations. In the prompt-tuning stage, the parameters of the pretrained model are fixed, a set of independent basis vectors is introduced, and an attention mechanism is employed to generate task-specific learnable prompt vectors for each node. Another notable contribution of our work is the introduction of three patent datasets, which is a pioneering application in related fields. We will make these three patent datasets publicly available to facilitate further research on large-scale patent data analysis. Through comprehensive experiments conducted on three patent datasets and three other public datasets, i.e., ACM, IMDB, and DBLP, we demonstrate the superior performance of the MIGP model in enhancing model applicability and performance across a variety of downstream datasets. The source code and datasets are available in the website.1.

Effects of ammonia nitrogen stress on the physiological, biochemical, and metabolic levels of the gill tissue of juvenile four-finger threadfin (Eleutheronema tetradactylum).

In this study, the impact of ammonia nitrogen stress on juvenile four-finger threadfin in pond culture was examined. The 96-hour median lethal concentration (LC50-96h) and safe concentration of ammonia nitrogen were assessed in juveniles with a body weight of 7.4 ± 0.6 g using ecotoxicological methods. The study design included a stress group exposed to LC50-96h levels of ammonia nitrogen and a control group without ammonia nitrogen exposure. To examine the physiological, biochemical, and metabolic effects of ammonia nitrogen on gill tissue, gill tissue samples were collected after 12, 24, 48, and 96 h of stress, with a resumption of treatment after 48 h. Compared to the control group, ammonia nitrogen adversely affected juvenile four-finger threadfin, with LC50-96h and safe concentration values of 20.70 mg/L and 2.07 mg/L, respectively. Exposure to ammonia nitrogen resulted in substantial gill damage, including fusion of lamellae, epithelial cell loss, and proliferation of chlorine-secreting cells. This tissue damage persisted even after a 48-h recovery period. Ammonia nitrogen stress triggered an increase in antioxidant enzyme activity (superoxide dismutase, catalase, and glutathione peroxidase) and malondialdehyde levels in gills, indicating oxidative stress from 12 h onwards. Although enzyme activity decreased over time, oxidative stress persisted even after recovery, suggesting an ongoing need for antioxidant defense. Metabolomics analysis showed significant alterations in 423 metabolites under ammonia nitrogen stress. Key metabolites such as L-arginine, taurine, 20-hydroxyarachidonic acid, 11,12-dihydroxy-5Z, 8Z, and 14Z eicosotrienic acid followed an increasing trend; uridine, adenosine, L-glutathione, and thymidine 5'-triphosphate followed a decreasing trend. These changes reflect metabolic adaptations to stress. In enriched metabolic pathways, the main differential pathways are membrane transport, lipid metabolism, and amino acid metabolism. After 48 h, significant differences were observed in 396 metabolites compared to the control group. Notably, L-arginine, choline, and L-histidine increased, while linoleic acid, adenosine, and glutathione decreased. Amino acid and lipid metabolism pathways were key affected pathways. Under ammonia nitrogen stress, juvenile four-finger threadfin increased the synthesis of unsaturated and saturated fatty acids to cope with low temperatures and bolster immune function by consuming spermidine. This adaptation helps to clear peroxides generated during fatty acid synthesis, thereby protecting cells from oxidative damage. This study provides insights for pond aquaculture and breeding of ammonia nitrogen-tolerant fish strains.

Fusiform nanoparticle boosts efficient genetic transformation in Sclerotinia sclerotiorum.

BACKGROUND: Sclerotinia sclerotiorum is a highly destructive phytopathogenic fungus that poses a significant threat to a wide array of crops. The current constraints in genetic manipulation techniques impede a thorough comprehension of its pathogenic mechanisms and the development of effective control strategies. RESULTS: Herein, we present a highly efficient genetic transformation system for S. sclerotiorum, leveraging the use of fusiform nanoparticles, which are synthesized with FeCl3 and 2,6-diaminopyrimidine (DAP). These nanoparticles, with an average longitude length of 59.00 nm and a positively charged surface, facilitate the direct delivery of exogenous DNA into the mycelial cells of S. sclerotiorum, as well as successful integration with stable expression. Notably, this system circumvents fungal protoplast preparation and tedious recovery processes, streamlining the transformation process considerably. Furthermore, we successfully employed this system to generate S. sclerotiorum strains with silenced oxaloacetate acetylhydrolase-encoding gene Ss-oah1. CONCLUSIONS: Our findings demonstrate the feasibility of using nanoparticle-mediated delivery as a rapid and reliable tool for genetic modification in S. sclerotiorum. Given its simplicity and high efficiency, it has the potential to significantly propel genetic research in filamentous fungi, offering new avenues for elucidating the intricacies of pathogenicity and developing innovative disease management strategies.

Rh(III)-Catalyzed C(sp3)-H Thiolation of 8-Methylquinolines Promoted by Benzoic Anhydride.

Herein, we developed a ligand-promoted Rh(III)-catalyzed C(sp3)-H thiolation of 8-methylquinolines. The effect of ligands on improving the activity of the catalytic centers has been studied in detail and proven to be significant. Various substituents are well tolerated under this reaction condition to provide potential precursors for organic synthesis. The mechanistic study suggests that the reaction may proceed through a five-membered rhodacycle intermediate via thiolation twice.

In vivo fluorescence imaging of nanocarriers in near-infrared window II based on aggregation-caused quenching.

Accurate fluorescence imaging of nanocarriers in vivo remains a challenge owing to interference derived mainly from biological tissues and free probes. To address both issues, the current study explored fluorophores in the near-infrared (NIR)-II window with aggregation-caused quenching (ACQ) properties to improve imaging accuracy. Candidate fluorophores with NIR-II emission, ACQ984 (λem = 984 nm) and IR-1060 (λem = 1060 nm), from the aza-BODIPY and cyanine families, respectively, were compared with the commercial fluorophore ICG with NIR-II tail emission and the NIR-I fluorophore P2 from the aza-BODIPY family. ACQ984 demonstrates high water sensitivity with complete fluorescence quenching at a water fraction greater than 50%. Physically embedding the fluorophores illuminates various nanocarriers, while free fluorophores cause negligible interference owing to the ACQ effect. Imaging based on ACQ984 revealed fine structures in the vascular system at high resolution. Moreover, good in vivo and ex vivo correlations in the monitoring of blood nanocarriers can be established, enabling real-time noninvasive in situ investigation of blood pharmacokinetics and dynamic distribution in various tissues. IR-1060 also has a good ACQ effect, but the lack of sufficient photostability and steady post-labeling fluorescence undermines its potential for nanocarrier bioimaging. P2 has an excellent ACQ effect, but its NIR-I emission only provides nondiscriminative ambiguous images. The failure of the non-ACQ probe ICG to display the biodistribution details serves as counterevidence for the improved imaging accuracy by NIR-II ACQ probes. Taken together, it is concluded that fluorescence imaging of nanocarriers based on NIR-II ACQ probes enables accurate in vivo bioimaging and real-time in situ pharmacokinetic analysis.

Phenotyping of FGF12AV52H mutation in mouse implies a complex FGF12 network.

Pathogenic missense mutation of the FGF12 gene is responsible for a variable disease phenotypic spectrum. Disease-specific therapies require precise dissection of the relationship between different mutations and phenotypes. The lack of a proper animal model hinders the investigation of related diseases, such as early-onset epileptic encephalopathy. Here, an FGF12AV52H mouse model was generated using CRISPR/Cas9 technology, which altered the A isoform without affecting the B isoform. The FGF12AV52H mice exhibited seizure susceptibility, while no spontaneous seizures were observed. The increased excitability in dorsal hippocampal CA3 neurons was confirmed by patch-clamp recordings. Furthermore, immunostaining showed that the balance of excitatory/inhibitory neurons in the hippocampus of the FGF12AV52H mice was perturbed. The increases in inhibitory SOM+ neurons and excitatory CaMKII+ neurons were heterogeneous. Moreover, the locomotion, anxiety levels, risk assessment behavior, social behavior, and cognition of the FGF12AV52H mice were investigated by elevated plus maze, open field, three-chamber sociability, and novel object tests, respectively. Cognition deficit, impaired risk assessment, and social behavior with normal social indexes were observed, implying complex consequences of V52H FGF12A in mice. Together, these data suggest that the function of FGF12A in neurons can be immediate or long-term and involves modulation of ion channels and the differentiation and maturation of neurons. The FGF12AV52H mouse model increases the understanding of the function of FGF12A, and it is of great importance for revealing the complex network of the FGF12 gene in physiological and pathological processes.

Contemporary Management of the Upper Limb in Apert Syndrome: A Review.

Background: Apert syndrome is a relatively rare genetic disorder with a constellation of distinct craniofacial deformities and bilateral syndactyly of the hands and feet. Although the literature contains ample evidence for the need to treat cranial, midfacial, and hand abnormalities, there are severe shortcomings in the literature when attempting to describe the pathology and management of the entire upper limb in patients with Apert syndrome. Methods: A thorough literature search was performed using PubMed, Scopus, Web of Science, and Google Scholar, on the management of the upper extremity in Apert syndrome, including the shoulder, elbow, and hand. Results: Our findings of the literature discuss the clinical presentation and management trends of the upper extremity in patients with Apert syndrome. Through multicenter collaboration, discussion among experts in the field, and evidence gathered from the literature, we propose treatment algorithms to treat deformities of the hand, shoulder, and elbow in patients with Apert syndrome. Conclusions: This review identifies that even if hand pathologies have been correctly treated, shoulder and elbow abnormalities in patients with Apert syndrome are largely ignored. To optimize outcomes, added cognizance of additional upper limb congenital differences and their management should be highly advocated in this patient population.

Corrigendum to 'Impact of COVID-19 on immunocompromised populations during the Omicron era: insights from the observational population-based INFORM study' [The Lancet Regional Health - Europe 35 (2023) 100747].

[This corrects the article DOI: 10.1016/j.lanepe.2023.100747.].

Expanding Access to 3D Technology in Plastic Surgery of the Breast: Validation of the iPhone Against the Vectra H2.

BACKGROUND: The iPhone (Apple Inc, Cupertino, California) contains a high-fidelity 3D-scanner and is widely distributed in the United States. Presently, 3D analysis of the breast necessitates ownership of cost-prohibitive cameras and software packages such as the Vectra system. OBJECTIVES: We compared the accuracy of 3D photos of the breast obtained with the iPhone X 3D scanner against the Canfield Vectra H2 (Canfield Scientific Inc. Parsippany, NJ) in an effort to expand access to 3D technology in plastic surgery. METHODS: Twenty breasts (n=20) were 3D-photographed with iPhone X and the Vectra H2 and compared with color map analysis and by measuring distances across the model between key anatomical landmarks. These distances included sternal notch to nipple (SN-N), mid-chest to nipple (M-N), nipple to mid-inframammary fold (N-IMF), and inframammary fold width (IMF). Statistical tests included the Bland-Altman Plot analysis. RESULTS: When comparing absolute differences in distances between key anatomical landmarks, the average discrepancy in measurements between iPhone and Vectra image pairs were the following: SN-N: 0.94mm, M-N: 0.70mm, N-IMF 0.81mm, and IMF 0.96mm. Colormap analysis demonstrated an average error of 1.53mm, mean of 0.53mm, and standard deviation of ±1.81mm. Bland-Altman Plot revealed a mean difference of 0.13mm and an agreement interval between -1.90 and 2.17mm. CONCLUSIONS: The iPhone is capable of capturing 3D-photographs with a high level of fidelity when compared to Vectra. 3D-scans obtained with the iPhone may be useful for planning nipple position, measuring the breast footprint, choosing implants, and performing other functions using 3D technology that are typically performed using the more expensive systems.

Clinical predictive factors of the efficacy of immune checkpoint inhibitors and kinase inhibitors in advanced hepatocellular cancer.

BACKGROUND: Hepatocellular carcinoma (HCC) is a highly aggressive tumor associated with significant morbidity and mortality rates. Combination therapy with immune checkpoint inhibitors (ICIs) and kinase inhibitors has emerged as a promising strategy for liver cancer treatment in recent years. However, the clinical factors predicting the outcomes of combination therapy in patients with advanced liver cancer remain uncertain. Therefore, this study investigated the relationships between clinical predictors and the efficacy of ICI plus kinase inhibitor therapy to personalize treatment plans. METHODS: We retrospectively enrolled 98 patients who received combination treatment with ICIs and kinase inhibitors for advanced HCC. Based on blood lipid levels and other clinical factors prior to treatment, we investigated potential biomarkers that could predict treatment responses in this patient population. RESULTS: Mean progression-free survival (PFS) and overall survival (OS) in this cohort were 10.1 and 17.2 months, respectively. Via multivariate analysis, the absence of extrahepatic metastasis, the absence of portal vein thrombosis (PVT), neutrophil-to-lymphocyte ratio (NLR) < 3.225, platelet-to-lymphocyte ratio (PLR) < 140.75, and prognostic nutritional index (PNI) ≥ 37.25 were identified as independent predictors of improved PFS. Factors associated with better OS included PLR < 140.75 and total cholesterol (TC) < 3.46 mmol/L. Univariate analysis identified significant associations of Eastern Cooperative Oncology Group performance status (ECOG PS), hepatitis B virus (HBV) DNA levels, Child-Pugh classification, alpha-fetoprotein (AFP), TC, and the receipt of regorafenib with PFS. Additionally, ECOG PS, Child-Pugh classification, AFP, PVT, NLR, PNI, and the receipt of regorafenib were significantly associated with OS. CONCLUSIONS: PLR and TC were potential clinical predictive factors for survival outcomes in patients with advanced HCC who received ICI/kinase inhibitor combination therapy. It is important to know the clinical characteristics of patients prior to treatment initiation to optimize outcomes.

Genome-wide methylation and gene-expression analyses in thalassemia.

Thalassemia is the most common autosomal genetic disorder in humans. The pathogenesis of thalassemia is principally due to the deletion or mutation of globin genes that then leads to disorders in globin-chain synthesis, and its predominant clinical manifestations include chronic forms of hemolytic anemia. However, research on the epigenetics and underlying pathogenesis of thalassemia is in its nascency and not yet been systematically realized. In this study, we compared the results of RNA-seq and the whole-genome bisulfite sequencing (WGBS) on 22 peripheral blood samples from 14 thalassemic patients and eight healthy individuals revealed a genome-wide methylation landscape of differentially methylated regions (DMRs). And functional-enrichment analysis revealed the enriched biological pathways with respect to the differentially expressed genes (DEGs) and differentially methylated genes (DMGs) to include hematopoietic lineage, glucose metabolism, and ribosome. To further analyze the interaction between the transcriptome and methylome, we implemented a comprehensive analysis of overlaps between DEGs and DMGs, and observed that biological processes significantly enriched the immune-related genes (i.e., our hypermethylated and down-regulated gene group). Hypermethylated and hypomethylated regions of thalassemia-related genes exhibited different distribution patterns. We thus, further identified and validated thalassemia-associated DMGs and DEGs by multi-omics integrative analyses of DNA methylation and transcriptomics data, and provided a comprehensive genomic map of thalassemia that will facilitate the exploration of the epigenetics mechanisms and pathogenesis underlying thalassemia.

Sprayable oxidized polyvinyl alcohol with improved degradability and sufficient mechanical property for fruit preservation.

Besides their limited preservation capacity and low biosafety, traditional fruit preservation procedures exacerbate "white pollution" because they utilize excessive plastic. Herein, an environmentally friendly one-pot method was developed to obtain degradable polyvinyl alcohol (PVA), where the hydroxyl radicals generated through the reaction between hydrogen peroxide (H2O2) and iron ions functioned to oxidize PVA. The oxidized PVA (OPVA-1.0) with abundant ketone groups, reduced crystallinity, and short molecular chains was completely degraded into H2O and CO2 after being buried in the soil for ∼60 days. An improvement in its degradation rate did not weaken the mechanical properties of OPVA-1.0 compared to other modified PVA films because the adverse effect of decreased crystallinity on its mechanical performance was offset by its ion coordination. Alternatively, the tensile strength or toughness of OPVA-1.0 was enhanced due to its internal multi-level interactions including molecular chain entanglement, hydrogen bonding, and metal coordination bonds. More interestingly, OPVA-1.0 was water-welded into various products in a recyclable way owing to its reversible physical bonds, where it was sprayed, dipped, or brushed conformally onto different perishable fruits to delay their ripening by 5-14 days. Based on the cellular biocompatibility and biosafety evaluations in mice, OPVA-1.0 obtained by the facile oxidation strategy was demonstrated to alleviate "white pollution" and delay the ripening of fruits effectively.

Robust fatigue markers obtained from muscle synergy analysis.

This study aimed to utilize the nonnegative matrix factorization (NNMF) algorithm for muscle synergy analysis, extracting synergy structures and muscle weightings and mining biomarkers reflecting changes in muscle fatigue from these synergy structures. A leg press exercise to induce fatigue was performed by 11 participants. Surface electromyography (sEMG) data from seven muscles, electrocardiography (ECG) data, Borg CR-10 scale scores, and the z-axis acceleration of the weight block were simultaneously collected. Three indices were derived from the synergy structures: activation phase difference, coactivation area, and coactivation time. The indicators were further validated for single-leg landing. Differences in heart rate (HR) and heart rate variability (HRV) were observed across different fatigue levels, with varying degrees of disparity. The median frequency (MDF) exhibited a consistent decline in the primary working muscle groups. Significant differences were noted in activation phase difference, coactivation area, and coactivation time before and after fatigue onset. Moreover, a significant correlation was found between the activation phase difference and the coactivation area with fatigue intensity. The further application of single-leg landing demonstrated the effectiveness of the coactivation area. These indices can serve as biomarkers reflecting simultaneous alterations in the central nervous system and muscle activity post-exertion.

Effect of a Nurse-Led Exercise Program on Depression in Elderly Patients with Diabetes: A Retrospective Study.

BACKGROUND: Patients with diabetes often face psychological challenges, particularly depression. The coexistence of these two conditions can significantly impact both the mental and physical health of individuals. This study aims to investigate the effects of nurse-led exercise training on elderly patients diagnosed with type 2 diabetes mellitus and comorbid depression through experimental research. By selecting appropriate exercise programs for patients, the study seeks to identify effective strategies for improving both their physical health and depressive symptoms. Additionally, it aims to offer tailored exercise recommendations to enhance the overall well-being of these patients. METHOD: The observation group (n = 53) and the control group (n = 53) were selected based on the interventions documented in the patients' medical records, with eligible patients identified as research participants. The control group received standard medication, while the observation group engaged in intensive exercise training in addition to their standard treatment, dedicating 60-90 min per day to exercise. Prior to and following the intervention, blood glucose indices, levels of 5-hydroxytryptamine (5-HT) and norepinephrine (NE), self-rating depression scale (SDS), Self-Rating Anxiety Scale (SAS), Pittsburgh Sleep Quality Index (PSQI), and Generic Quality of Life Inventory (GQOLI-74) scores were assessed to evaluate the impact of the exercise training intervention. RESULT: Following the intervention, levels of fasting blood glucose (FBG), 2-h postprandial blood glucose (PBG), and Hemoglobin A1c (HbA1c) were reduced compared to pre-intervention levels, with the exercise group exhibiting lower levels than the control group (p < 0.05). Additionally, post-intervention, patients' levels of 5-HT and NE increased, with the exercise group demonstrating higher levels than the control group (p < 0.05). Moreover, post-intervention, SDS and SAS scores decreased, with more significant improvements observed in the observation group (p < 0.05). Furthermore, the intervention improved sleep quality and quality of life among patients in the exercise group compared to those in the control group (p < 0.05). CONCLUSION: Nurse-guided exercise training demonstrates a significant capacity to ameliorate glycemic indexes among patients with diabetes mellitus comorbid with depression. It not only diminishes depression and anxiety levels but also enhances the expression of 5-HT and NE. Furthermore, it effectively elevates patients' sleep quality and quality of life. These findings underscore the potential of nurse-led exercise interventions for clinical promotion and widespread application.

Remote neurostimulation through an endogenous ion channel using a near-infrared light-activatable nanoagonist.

The development of noninvasive approaches to precisely control neural activity in mammals is highly desirable. Here, we used the ion channel transient receptor potential ankyrin-repeat 1 (TRPA1) as a proof of principle, demonstrating remote near-infrared (NIR) activation of endogenous neuronal channels in mice through an engineered nanoagonist. This achievement enables specific neurostimulation in nongenetically modified mice. Initially, target-based screening identified flavins as photopharmacological agonists, allowing for the photoactivation of TRPA1 in sensory neurons upon ultraviolet A/blue light illumination. Subsequently, upconversion nanoparticles (UCNPs) were customized with an emission spectrum aligned to flavin absorption and conjugated with flavin adenine dinucleotide, creating a nanoagonist capable of NIR activation of TRPA1. Following the intrathecal injection of the nanoagonist, noninvasive NIR stimulation allows precise bidirectional control of nociception in mice through remote activation of spinal TRPA1. This study demonstrates a noninvasive NIR neurostimulation method with the potential for adaptation to various endogenous ion channels and neural processes by combining photochemical toolboxes with customized UCNPs.

Fastball Quality After Ulnar Collateral Ligament Reconstruction in Major League Baseball Pitchers.

BACKGROUND: The ulnar collateral ligament (UCL) is essential for elbow stability during pitching. In professional baseball, the fastball (FB) is the most commonly used pitch, making postrecovery FB performance after UCL reconstruction (UCLR) a crucial aspect to consider. HYPOTHESES: (1) Pitchers undergoing UCLR would show no significant changes in performance metrics compared with nonoperated pitchers with similar FB velocity and spin rate, and (2) no significant variance would be found in these metrics within the operated pitchers concerning their preinjury anthropometric characteristics and pitching performance metrics. STUDY DESIGN: Cohort study; Level of evidence, 3. METHODS: The study included 91 Major League Baseball (MLB) pitchers who underwent primary UCLR between January 1, 2015, and December 31, 2021. A matched 1:1 control group of MLB pitchers without UCLR injuries was established. Publicly available pitch metrics and anthropometric data were compared between the study and control groups. RESULTS: Disparities in several performance metrics emerged during the first postreturn year (PRY1), including FB use percentage (P = .029), fielder independent pitching (FIP) (P = .021), and standardized FB runs above average per 100 pitches (wFB/C) (P < .001). Subgroup analysis within the UCLR group revealed a negative correlation between presurgery mean FB velocity and its subsequent change (P < .001) and a positive correlation with changes in FIP (P = .025) from the index year to PRY1. A negative correlation was observed between FB use percentage in the index year and its change by PRY1 (P = .002). By the second postreturn year, no significant differences were found in these performance metrics. No factors were significantly related to prolonged recovery time. CONCLUSION: Although FB velocity and spin rate remained consistent, significant differences were observed in FB use percentage, FIP, and wFB/C in PRY1. However, by second postreturn year, these differences were no longer significant. No specific risk factors were identified concerning prolonged recovery time between pre-UCLR FB pitching metrics and the physical anthropometric data. These results suggest that although the short-term postsurgery period may affect more specialized pitching metrics, the basic pitching performance metrics, as hypothesized, remain largely unaffected by UCLR.