Uncovering a Causal Connection between Gut Microbiota and Six Thyroid Diseases: A Two-Sample Mendelian Randomization Study.

BACKGROUND: Recent studies have established associations between the gut microbiota (GM) and thyroid diseases (TDs). However, their causal relationships remain elusive. METHODS: To investigate this causality, we conducted a two-sample Mendelian randomization (MR) analysis using genome-wide association study (GWAS) data from MiBioGen and FinnGen, with GM as the exposure and six TDs as outcomes. RESULTS: We identified 32 microbial taxa linked to the risk of six TDs. The Clostridium innocuum group, Ruminiclostridium5, and Lachnoclostridium exhibited protective effects against nontoxic diffuse goiter (NDG). Conversely, an increased risk of NDG was associated with Ruminococcaceae UCG002, Alistipes, Methanobrevibacter, Marvinbryantia, and Ruminococcaceae UCG014. Bifidobacterium and Sutterella were protective against nontoxic multinodular goiter (NMG), while the Ruminococcus gauvreauii group and Rikenellaceae RC9 gut group heightened NMG risk. Protective effects against nontoxic single thyroid nodule (NSTN) were observed with Defluviitaleaceae UCG011, Ruminococcus1, and Ruminococcaceae UCG010, whereas increased risk was linked to Alistipes, the Ruminococcus gauvreauii group, and Lachnospiraceae UCG010. Ruminiclostridium9, Victivallis, and Butyricimonas offered protection against thyrotoxicosis with Graves' Disease (GD), while the Eubacterium rectale group, Desulfovibrio, Bifidobacterium, Collinsella, Oscillospira, and Catenibacterium were risk factors. For thyrotoxicosis with Plummer Disease (PD), protective taxa included Butyricimonas and Lachnospira, whereas Dorea, Eggerthella, Odoribacter, Lactobacillus, Intestinimonas, and Phascolarctobacterium increased risk. Lastly, Parasutterella was protective against thyrotoxicosis with toxic single thyroid nodule (TSTN), while increased risk was associated with Sutterella, Oscillibacter, and Clostridium sensu stricto1. CONCLUSIONS: Our findings support a causal relationship between specific GM and TDs at the genetic level, laying the foundation for future research into potential mechanisms and the identification of novel therapeutic targets.

Efficacy and safety of various corticosteroids in the treatment of children with allergic rhinitis: A systematic review and network meta-analysis.

BACKGROUND: Intranasal corticosteroids were recommended as first-line drugs for the treatment of allergic rhinitis (AR) children. A variety of corticosteroids were available for clinical choice; however, which could relieve the clinical symptoms of patients to the greatest extent was currently unknown. Thus, we performed a network meta-analysis (NMA) to systematically evaluate the effectiveness and safety of different corticosteroids in treating children with AR, which might provide a basis for more rational clinical treatment decisions. METHODS: Seven electronic databases were searched, and the retrieval time range was the time from their inception to November 2023. The literature screening, data extraction, and assessment of the risk of bias of included studies were completed independently by two reviewers. A frequentist NMA was performed with Stata17.0 software. RESULTS: A total of 43 RCTs covering 10,897 participants were included. In the improvement of reflective total nasal symptom score (rTNSS) and instantaneous total nasal symptom score (iTNSS), fluticasone furoate nasal spray (FFNS) and beclomethasone dipropionate (BDP) nasal aerosol presented the best efficacy. Regarding the incidence of adverse reactions, mometasone furoate aqueous nasal spray (MFANS) and BDP showed a good safety profile. In terms of the influence of cortisol (urinary free cortisol, plasma cortisol) and growth, no significant difference was observed between the different groups. CONCLUSION: The results showed that BDP nasal aerosol and FFNS had best efficacy; MFANS and BDP had the best safety profile. However, this conclusion was less convincing because of the limited numbers of patients/controls and study quality.

Carboxymethyl chitosan-based nanoparticles of acid response for the synergistic anti-tumor effect of PDT and chemotherapy.

The combination of multiple anti-tumor methods has shown significant application potential in overcoming the limitations of monotherapy. Photodynamic therapy (PDT) and chemotherapy combination is a promising strategy for reducing drug resistance and side effects. Here, inspired by the acidic environment of tumors, carboxymethyl chitosan-based pH-responsive nanovesicles were developed to co-deliver the chemotherapeutic drug doxorubicin (DOX) and photosensitizer 5-aminolevulinic acid (5-ALA). The in vitro drug release studies revealed that drugs could be responsively released when nanoparticles were triggered by the acidic environment. The controlled-release behavior improved drug retention and reduced the administration time. Our nanoparticles could significantly enhance the killing effect of drugs on tumor cells and increase intracellular levels of reactive oxygen species (ROS) compared to monotherapy, effectively achieving the effects of combined chemotherapy and PDT. The loaded DOX could kill tumor cells and the loaded 5-ALA could enhance the content of protoporphyrin IX (PpIX), resulting in excess ROS production to improve the effects of PDT. In summary, our nanoparticles could co-deliver the drugs and exert synergistical anti-tumor of PDT and chemotherapy by suppressing tumor cell proliferation and facilitating cell apoptosis.

Mechanisms of Yiai Fuzheng formula in the treatment of triple-negative breast cancer based on UPLC-Q-Orbitrap-HRMS, network pharmacology, and experimental validation.

Ethnopharmacological relevance: Yiai Fuzheng formula (YAFZF), as a Traditional Chinese Medicine (TCM) prescription, has been used widely at Zhongnan Hospital of Wuhan University for its therapeutic effects and high safety on triple-negative breast cancer (TNBC). Objective: In this study, we employed ultra-high-performance liquid chromatography-quadrupole/orbitrap high-resolution mass spectrometry (UPLC-Q-Orbitrap-HRMS), network pharmacology, and experimental validation to elucidate the underlying action mechanism of YAFZF in the treatment of TNBC. Methods: The key active ingredients in YAFZF were analyzed using UPLC-Q-Orbitrap-HRMS, and then the potential components, target genes and signalling pathways of YAFZF were predicted using the network pharmacological method. We then used molecular docking to visualize the combination characteristics between major active components and macromolecules in the crucial pathway. In vitro experiments were conducted to investigate the inhibitory effects of YAFZF treatment on the cell viability, invasion, and migration of 4T1 and MDA-MB-231 cells. The xenograft TNBC models were constructed using female Balb/c mice, and their body weights, tumour volumes, and weights were monitored during YAFZF treatment. Quantitative real-time PCR (qRT-PCR), Hematoxylin-eosin (HE), immunohistochemistry (IHC) staining, Western blot (WB), and terminal deoxynucleotidyl transferase (TdT)-dUTP nick-end labeling (TUNEL) staining were used for further experimental validation. Results: Based on UPLC-Q-Orbitrap-HRMS and network pharmacology analysis, 6 major bioactive components and 153 intersecting genes were obtained for YAFZF against TNBC. Functional enrichment analysis identified that the phosphatidylinositol 3-kinase (PI3K)-protein kinase B (Akt) signalling pathway might be the mechanism of action of YAFZF in the treatment of TNBC. Molecular docking results suggested that the main active compounds in YAFZF had strong binding energies with the proteins in the PI3K/Akt pathway. In vitro experiments showed that YAFZF inhibited the cell viability, invasion, and migration abilities of TNBC cells. Animal experiments confirmed that YAFZF treatment suppressed tumour cell proliferation and increased apoptotic cells. PCR, HE, WB, and IHC results indicated that YAFZF could suppress xenograft tumour metastases by inhibiting the PI3K/AKT/mTOR pathway regulating the epithelial-mesenchymal transition (EMT) process. Conclusion: YAFZF therapy showed its potential for reducing proliferation, invasion, and migration abilities, increasing apoptosis of TNBC cells. Furthermore, YAFZF treated TNBC by inhibiting xenograft tumour distant metastases via the regulation of EMT by the PI3K/Akt/mTOR pathway, suggesting that it may be useful as an adjuvant treatment.

Peritoneal dialysis promotes microbial-driven biosynthesis pathways of sesquiterpenes and triterpenes compounds in end-stage renal disease patients.

The concept of the gut-kidney axis is gaining significant attention due to the close relationship between gut microbiota and kidney disease. Peritoneal dialysis is recognized as a crucial renal replacement therapy for end-stage renal disease (ESRD). The alterations in gut microbiota and related mechanisms after receiving this dialysis method are not fully understood. This study conducted shotgun metagenomic sequencing on fecal samples from 11 end-stage renal disease patients who did not receive dialysis (ESRD_N) and 7 patients who received peritoneal dialysis (ESRD_P). After quality control and correlation analysis of the data, our study is aimed at exploring the impact of peritoneal dialysis on the gut microbiota and health of ESRD patients. Our research findings indicate that the complexity and aggregation characteristics of gut microbiota interactions increase in ESRD_P. In addition, the gut microbiota drives the biosynthesis pathways of sesquiterpenes and triterpenes in ESRD_P patients, which may contribute to blood purification and improve circulation. Therefore, our research will lay the foundation for the prevention and treatment of ESRD.

Complementary information mutual learning for multimodality medical image segmentation.

Radiologists must utilize medical images of multiple modalities for tumor segmentation and diagnosis due to the limitations of medical imaging technology and the diversity of tumor signals. This has led to the development of multimodal learning in medical image segmentation. However, the redundancy among modalities creates challenges for existing subtraction-based joint learning methods, such as misjudging the importance of modalities, ignoring specific modal information, and increasing cognitive load. These thorny issues ultimately decrease segmentation accuracy and increase the risk of overfitting. This paper presents the complementary information mutual learning (CIML) framework, which can mathematically model and address the negative impact of inter-modal redundant information. CIML adopts the idea of addition and removes inter-modal redundant information through inductive bias-driven task decomposition and message passing-based redundancy filtering. CIML first decomposes the multimodal segmentation task into multiple subtasks based on expert prior knowledge, minimizing the information dependence between modalities. Furthermore, CIML introduces a scheme in which each modality can extract information from other modalities additively through message passing. To achieve non-redundancy of extracted information, the redundant filtering is transformed into complementary information learning inspired by the variational information bottleneck. The complementary information learning procedure can be efficiently solved by variational inference and cross-modal spatial attention. Numerical results from the verification task and standard benchmarks indicate that CIML efficiently removes redundant information between modalities, outperforming SOTA methods regarding validation accuracy and segmentation effect. To emphasize, message-passing-based redundancy filtering allows neural network visualization techniques to visualize the knowledge relationship among different modalities, which reflects interpretability.

Ursolic Acid Ameliorates Alcoholic Liver Injury through Attenuating Oxidative Stress-Mediated Ferroptosis and Modulating Gut Microbiota.

Ursolic acid (UA), a triterpenoid found in plants, has many health benefits for liver function. However, understanding how UA intervenes in alcohol-induced ferroptosis remains unclear because of the lack of research. This study explored the protective effects of UA on alcohol-induced liver injury and further elucidated its mechanism of action. Using a mouse model, acute liver injury was induced via high-dose alcohol gavage, and UA's protective effects were assessed by analyzing serum and liver indicators. The results indicated that UA has a significant protective effect against alcohol-induced liver injury in mice. UA significantly decreased serum ALT, AST, TC, and TG levels. Histopathological examination revealed that UA significantly ameliorated liver damage. UA increased ADH, ALDH, and CYP2E1 enzyme expression levels and alleviated alcohol-induced oxidative damage by regulating alcohol metabolism. Moreover, UA increased SOD and GSH-Px levels and lowered the MDA levels in the liver. Furthermore, UA regulated ACC expression by activating the LKB1/AMPK pathway, thereby inhibiting lipid synthesis and peroxidation. UA also upregulated the expression of GPX4 and SLC7A11 in the liver and exerted hepatoprotective effects by inhibiting alcohol-induced ferroptosis. Additionally, 16S rRNA amplicon sequencing showed that excessive alcohol consumption significantly affected the composition of the mouse gut microbiota, with UA intervention proving to be beneficial for improving gut microbiota imbalance. We also validated the protective effects of UA on alcohol-treated HepG2 cells at the cellular level. In summary, these results revealed that UA can alleviate alcoholic liver injury by inhibiting oxidative stress-mediated ferroptosis and regulating gut microbiota. These findings suggest that UA may serve as a functional component in the prevention of alcoholic liver disease.

Transfer dynamics of antimicrobial resistance among gram-negative bacteria.

Antimicrobial resistance (AMR) in gram-negative bacteria (GNBs) is a significant global health concern, exacerbated by mobile genetic elements (MGEs). This review examines the transfer of antibiotic resistance genes (ARGs) within and between different species of GNB facilitated by MGEs, focusing on the roles of plasmids and phages. The impact of non-antibiotic chemicals, environmental factors affecting ARG transfer frequency, and underlying molecular mechanisms of bacterial resistance evolution are also discussed. Additionally, the study critically assesses the impact of fitness costs and compensatory evolution driven by MGEs in host organisms, shedding light on the transfer frequency of ARGs and host evolution within ecosystems. Overall, this comprehensive review highlights the factors and mechanisms influencing ARG movement among diverse GNB species and underscores the importance of implementing holistic One-Health strategies to effectively address the escalating public health challenges associated with AMR.

Risk factors and prognostic factors associated with retinal detachment and visual outcomes in acute retinal necrosis.

OBJECTIVE: To investigate the risk factors and prognostic factors that affect the long-term clinical outcomes of acute retinal necrosis (ARN). METHODS: A retrospective study of patients with ARN who underwent treatment and completed follow-up in our ophthalmology department from 2011 to 2021 was conducted. The incidence and risk factors of retinal detachment (RD) and prognostic factors affecting long-term clinical outcomes, such as late-onset RD and final vision loss (< 20/200), were analyzed. RESULTS: Totally 59 ARN patients (65 eyes) with an average follow-up of 48.9 months were enrolled. During the follow-up period, RD occurred in 34 eyes (52.3%). The risk factors for RD included quadrants of involved retinal necrosis (odds ratio [OR], 4.181; 95% confidence interval [CI], 1.950-10.834) and initial intraocular viral load (OR, 1.721; 95% CI, 1.071-3.083). Early intravitreal antiviral treatment (OR, 1.204; 95% CI, 1.040-1.480) was independently associated with a decreased risk of late-onset RD. The factors independently associated with an increased risk of final vision loss were worse initial visual acuity (OR, 3.895; 95% CI, 1.551-13.662) and late-onset RD (OR, 8.043; 95% CI, 1.380-67.216). In addition, we utilized the fluctuating magnitude of viral load to quantify the extent of its reduction in comparison to its original value following the initial intravitreal antiviral injection (IAI). This ratio was strongly related to initial intraocular IL-8 concentration (Spearman correlation coefficient=-0.741, P = 0.000) and moderately related to the initial degree of aqueous flare (Spearman correlation coefficient=-0.508, P = 0.010). CONCLUSION: RD is a common and severe complication of ARN with multiple risk factors, such as initial retinitis involvement area and initial intraocular viral load. Active local antiviral therapy may reduce the risk of late-onset RD. The antiviral medication should be adjusted according to the inflammatory state. Therefore, timely detection of causative viruses and intensive systemic and local antiviral therapy is crucial for preserving visual function in ARN patients.

Improvement and application of back random response detection: Based on cumulative sum and change point analysis.

In educational and psychological assessments, benefiting from back random response (BRR) is a major type of rapid guessing in misfitting item score patterns. Person-fit statistics (PFS) based on cumulative sum (CUSUM) and change point analysis (CPA) from statistical process control (SPC) are better than other PFS for detecting aberrant response. In this study, we developed new person-fit statistics based on three algorithms from CPA procedure and CUSUM method for detection of person misfit with dichotomous or polytomous items. By means of simulated data, the effectiveness of the new statistics to detect test-takers with BRR was investigated.

Simultaneous improvement of fiber yield and quality in upland cotton (Gossypium hirsutum L.) by integration of auxin transport and synthesis.

Cotton is a widely planted commercial crop in the world. Enhancing fiber yield and quality is a long-term goal for cotton breeders. Our previous work has demonstrated that fine promotion of auxin biosynthesis in ovule epidermis, by overexpressing FBP7pro::iaaM, has a significant improvement on lint yield and fiber fineness. Lately, transgenic cottons overexpressing GhROP6 variants modify mature fiber length by controlling GhPIN3a-mediated polar auxin transport in ovules. Here, this study showed that all these GhROP6-related cottons displayed unsatisfactory agronomic performance in field conditions. Yet extra auxin supply could promote their fiber development, suggesting inadequate auxin supply in the ovules. Thus, these cottons were integrated with enhanced auxin synthesis by crossing with FBP7pro::iaaM cotton. All the transgene-stacked cottons exhibited synergetic effects on cotton yield (seedcotton yield, lint yield, and lint percentage) and quality (length, strength, and micronaire). Notably, comparing to the FBP7pro::iaaM background, the transgene-stacked cotton co-expressing FBP7pro::iaaM and CA-ghrop6 (constitutively active GhROP6) exhibited a 12.6% increase in seedcotton yield and a 19.0% increase in lint yield over a three-year field trial, and simultaneously resulted in further improvement on fiber length, strength, and micronaire. Collectively, our data provide a potential strategy for genetic improvement on cotton fiber yield and quality. Supplementary Information: The online version contains supplementary material available at 10.1007/s11032-024-01500-w.

IQAGPT: computed tomography image quality assessment with vision-language and ChatGPT models.

Large language models (LLMs), such as ChatGPT, have demonstrated impressive capabilities in various tasks and attracted increasing interest as a natural language interface across many domains. Recently, large vision-language models (VLMs) that learn rich vision-language correlation from image-text pairs, like BLIP-2 and GPT-4, have been intensively investigated. However, despite these developments, the application of LLMs and VLMs in image quality assessment (IQA), particularly in medical imaging, remains unexplored. This is valuable for objective performance evaluation and potential supplement or even replacement of radiologists' opinions. To this end, this study introduces IQAGPT, an innovative computed tomography (CT) IQA system that integrates image-quality captioning VLM with ChatGPT to generate quality scores and textual reports. First, a CT-IQA dataset comprising 1,000 CT slices with diverse quality levels is professionally annotated and compiled for training and evaluation. To better leverage the capabilities of LLMs, the annotated quality scores are converted into semantically rich text descriptions using a prompt template. Second, the image-quality captioning VLM is fine-tuned on the CT-IQA dataset to generate quality descriptions. The captioning model fuses image and text features through cross-modal attention. Third, based on the quality descriptions, users verbally request ChatGPT to rate image-quality scores or produce radiological quality reports. Results demonstrate the feasibility of assessing image quality using LLMs. The proposed IQAGPT outperformed GPT-4 and CLIP-IQA, as well as multitask classification and regression models that solely rely on images.

Mapping of dynamic quantitative trait loci for plant height in a RIL population of foxtail millet (Setaria italica L.).

Plant height (PH) is a crucial trait for strengthening lodging resistance and boosting yield in foxtail millet. To identify quantitative trait loci (QTL) and candidate genes associated with PH, we first developed a genetic map using a recombinant inbred line (RIL) population derived from a cross between Aininghuang and Jingu 21. Then, PH phenotyping data and four variations of best linear unbiased prediction (BLUP) were collected from nine environments and three development stages. Next, QTL mapping was conducted using both unconditional and conditional QTL methods. Subsequently, candidate genes were predicted via transcriptome analysis of parental samples at three developmental stages. The results revealed that the genetic map, based on re-sequencing, consisted of 4,360 bin markers spanning 1,016.06 cM with an average genetic distance of 0.23 cM. A total of 19 unconditional QTL, accounting for 5.23%-35.36% of the phenotypic variation explained (PVE), which included 7 major and 4 stable QTL, were identified. Meanwhile, 13 conditional QTL, explaining 5.88%-40.35% of PVE, including 5 major and 3 stable QTL, were discovered. Furthermore, four consistent and stable QTL were identified. Finally, eight candidate genes were predicted through RNA-seq and weighted gene co-expression network analysis (WGCNA). Those findings provide a crucial foundation for understanding the genetic mechanisms underlying PH development and facilitate molecular marker-assisted breeding of ideal plant types in foxtail millet.

Assessing economic investment required to scale up bariatric surgery capacity in England: a health economic modelling analysis.

OBJECTIVES: To quantify the economic investment required to increase bariatric surgery (BaS) capacity in National Health Service (NHS) England considering the growing obesity prevalence and low provision of BaS in England despite its high clinical effectiveness. DESIGN: Data were included for the patients with obesity who were eligible for BaS. We used a decision-tree approach including four distinct steps of the patient pathway to capture all associated resource use. We estimated total costs according to the current capacity (current scenario) and three BaS scaling up strategies over a time horizon of 20 years (projected scenario): maximising NHS capacity (strategy 1), maximising NHS and private sector capacity (strategy 2) and adding infrastructure to NHS capacity to cover the entire prevalent and incident obesity populations (strategy 3). SETTING: BaS centres based in NHS and private sector hospitals in England. MAIN OUTCOME MEASURES: Number of BaS procedures (including revision surgery), cost (GBP) and resource utilisation over 20 years. RESULTS: At current capacity, the number of BaS procedures and the total cost over 20 years were estimated to be 140 220 and £1.4 billion, respectively. For strategy 1, these values were projected to increase to 157 760 and £1.7 billion, respectively. For strategy 2, the values were projected to increase to 232 760 and £2.5 billion, respectively. Strategy 3 showed the highest increase to 564 784 and £6.4 billion, respectively, with an additional 4081 personnel and 49 facilities required over 20 years. CONCLUSIONS: The expansion of BaS capacity in England beyond a small proportion of the eligible population will likely be challenging given the significant upfront economic investment and additional requirement of personnel and infrastructure.

Recurrent mitral regurgitation after repair of Barlow's disease in a single-center retrospective cohort study.

Background: Barlow's disease (BD) is a common etiology of degenerative mitral valve (MV) disease, often causing significant mitral regurgitation (MR). The pathology of BD is challenging for surgeons performing MV repair (MVR). However, most MVR effectiveness studies have been based on survival and risk of reoperation. The aim of this study was to analyze the safety, efficacy, and durability of MVR in patients with BD and to identify factors that influence recurrent MR. Methods: We retrospectively analyzed the clinical outcomes of 274 patients undergoing MVR for BD at a tertiary hospital (Guangdong People's Hospital, Guangzhou, China) between January 2010 and June 2022. To analyze the results of MVR and identify the risk factors for MR recurrence, we defined two groups: a total of 240 patients with MR grade <2+ (group A) and a total of 34 patients who had recurrent MR after MVR (group B; the patients with MR ≥2+). All patients were operated on using standard repair techniques. Recurrent MR was the primary outcome. Secondary outcomes were death and reoperation after MVR. Patients were followed up until March 2023. Patients were followed up by clinic visits, telephone calls, and postal or electronic questionnaires. Results: The median [range] patient age was 46.00 [16-75] years and 186 (67.9%) patients were male. Concomitant procedures were performed in 123 patients: tricuspid valve repair 71 (25.9%), maze or pulmonary vein isolation (PVI) 12 (4.4%), atrial septal defect (ASD) repair 3 (1.1%), and left atrial appendage (LAA) closure 28 (10.2%). Hospital mortality was 0.4%. Long-term complications included radiofrequency ablation in 7 patients (2.6%), pacemaker implantation in 1 patient (0.4%), and stroke in 3 patients (1.1%). The median follow-up was 3.28 (range, 0-12.39) years. Considering the competing risk of mortality, the cumulative incidence of MR progression 2+ or more grades was 2.6%, 5.9%, 14.5%, and 27.7% at 1 month, 1, 5, and 10 years, respectively. Overall survival at 1, 5, and 10 years was 99.3%, 98.6%, and 98.6%, respectively. The immediate postoperative MR area [hazard ratio (HR) =1.723; 95% confidence interval (CI): 1.051-2.824; P=0.031], postoperative left ventricular end-diastolic dimension (LVEDD) (HR =1.149; 95% CI: 1.016-1.300; P=0.027), and postoperative MR grade {HR = Exp[4.500 - 0.544 × ln(t + 20)]; P=0.008} were associated with an increased risk of MR recurrence, whereas a higher left ventricular ejection fraction (LVEF) (HR =0.931; 95% CI: 0.868-0.999; P=0.049) was associated with a decreased risk. Conclusions: MVR in patients with BD can be performed with low mortality and complications and is associated with superior long-term outcomes. However, MVR was associated with a certain risk of MR recurrence, especially in those with high postoperative LVEDD, residual MR >1+, and decreased postoperative LVEF. We recommend MVR for patients with BD, especially for those with early-stage disease. However, future randomized controlled trials are needed to confirm this.

Mendelian randomization analysis identified potential genes pleiotropically associated with gout.

Background: This study aims to prioritize genes potentially involved in multifactorial or causal relationships with gout. Methods: Using the Summary Data-based Mendelian Randomization (SMR) approach, this research analyzed expression quantitative trait loci (eQTL) data from blood and renal tissues and genome-wide association study (GWAS) data related to gout. It sought to identify genetic loci potentially involved in gout. Heterogeneity testing was conducted with the HEIDI test, and results were adjusted for the False Discovery Rate (FDR). Blood cis-eQTL data were sourced from the eQTLGen Consortium's summary-level data, and renal tissue data came from the V8 release of the GTEx eQTL summary data. Gout GWAS data was sourced from the FinnGen Documentation of the R10 release. Result: SMR analysis identified 14 gene probes in the eQTLGen blood summary-level data significantly associated with gout. The top five ranked genes are: ENSG00000169231 (labeled THBS3, PSMR = 4.16 × 10-13), ENSG00000231064 (labeled THBS3-AS1, PSMR = 1.88 × 10-8), ENSG00000163463 (labeled KRTCAP2, PSMR = 3.88 × 10-6), ENSG00000172977 (labeled KAT5, PSMR = 1.70 × 10-5), and ENSG00000161395 (labeled PGAP3, PSMR = 3.24 × 10-5). Notably, increased expression of KRTCAP2 and PGAP3 is associated with an increased risk of gout, whereas increased expression of THBS3, THBS3-AS1, and KAT5 is associated with a reduced gout risk. No significant gene associations with gout were observed in renal tissue, likely due to the limited sample size of kidney tissue. Conclusion: Our findings have highlighted several genes potentially involved in the pathogenesis of gout. These results offer valuable insights into the mechanisms of gout and identify potential therapeutic targets for its treatment.

The mediating role of perceived social support between work-family conflict and presenteeism among ICU nurses working shift work in Chinese public hospitals: A cross-sectional investigation.

OBJECTIVE: Relative to explicit absenteeism, nurses' presenteeism has a more lasting impact and is more harmful and costly. This study aimed to explore the relationship between work-family conflict, perceived social support, and presenteeism and whether perceived social support mediates the relationship between work-family conflict and presenteeism among ICU nurses working on shifts in Chinese public hospitals. MATERIALS AND METHODS: A cross-sectional research design was conducted from January to April 2023 in Sichuan Province, China. A total of 609 valid questionnaires were collected. The questionnaires contained information on demographic characteristics, the Work-Family Conflict (WFC) scale, the Perceived Social Support Scale (PSSS), and Stanford Presenteeism Scale-6 (SPS-6). Multiple stratified regression was used to explore the mediating role of perceived social support between work-family conflict and presenteeism. The mediating effect of perceived social support in work-family conflict and presenteeism was tested by Model 4 in the PROCESS 4.1 macro program in SPSS. RESULTS: A total of 609 nurses were included in this study, and the mean presenteeism score for ICU nurses working on shifts was 16.01 ± 4.293 (Mean ± SD), with high presenteeism accounting for 58.46%. After controlling for sociodemographic characteristic variables, work-family conflict was positively associated with presenteeism, explaining 7.7% of the variance. High perceived social support was related to low presenteeism, explaining 11.5% of the variance. Perceived social support mediated the association between work-family conflict and presenteeism among ICU nurses working on shifts. CONCLUSIONS: Chinese shift-work ICU nurses' high presenteeism scores deserve managers' attention. Work-family conflict is a significant predictor of nurses' presenteeism. Perceived social support is essential in improving nurses' work-family conflict and mediates the relationship between work-family conflict and presenteeism. Improving social support can reduce the impact of work-family conflict on presenteeism among nurses working shifts.

Regulating Local Electron Density of Cyano Sites in Graphitic Nitride Carbon by Giant Internal Electric Field for Efficient CO2 Photoreduction to Hydrocarbons.

Selective photocatalytic CO2 reduction to high-value hydrocarbons using graphitic carbon nitride (g-C3N4) polymer holds great practical significance. Herein, the cyano-functionalized g-C3N4 (CN-g-C3N4) with a high local electron density site is successfully constructed for selective CO2 photoreduction to CH4 and C2H4. Wherein the potent electron-withdrawing cyano group induces a giant internal electric field in CN-g-C3N4, significantly boosting the directional migration of photogenerated electrons and concentrating them nearby. Thereby, a high local electron density site around its cyano group is created. Moreover, this structure can also effectively promote the adsorption and activation of CO2 while firmly anchoring *CO intermediates, facilitating their subsequent hydrogenation and coupling reactions. Consequently, using H2O as a reducing agent, CN-g-C3N4 achieves efficient and selective photocatalytic CO2 reduction to CH4 and C2H4 activity, with maximum rates of 6.64 and 1.35 µmol g-1 h-1, respectively, 69.3 and 53.8 times higher than bulk g-C3N4 and g-C3N4 nanosheets. In short, this work illustrates the importance of constructing a reduction site with high local electron density for efficient and selective CO2 photoreduction to hydrocarbons.

Spatial and temporal heterogeneity of soil salinity and ionic coupling relationship under the water-saving renovation of a typical irrigation district in arid and semi-arid areas.

Soil salinization is a global environmental problem. To investigate the spatiotemporal heterogeneity of soil salinity and the coupling relationship of soil salinity ions under water-saving renovation conditions, we chose Shenwu Irrigation Area, where water-saving renovation projects are being conducted comprehensively. Specifically, for our field experiments, we chose 46 soil sampling points. Specifically, we used different spatial interpolation methods and coupling coordination models were applied to study the spatial and temporal distribution of soil salinity and soil salt-based ion coupling relationship changes during different water-saving periods in the irrigation area between 2015 and 2022. The results showed that (1) the emergence of soil salinity extremes after water-saving renovation project led to an increase in the variability of soil salinity. (2) Compared with the Inverse Distance Weighted, Radial Basis Function, and Universal Kriging interpolations, the Mean Absolute Error of the Ordinary Kriging interpolation was reduced by 12.68 %, 43.96 %, and 38.77 %, the Root Mean Square Error was reduced by 14.34 %, 60.85 %, and 36.53 %, reflective of a significant improvement in accuracy, and thus confirming this method to be optimal for elucidating soil salinity. (3) Compared with pre-water-saving renovation project, the average soil desalination rates in the 0-50 cm soil layer during and after project implementation were 5.71 % and 35.67 %. The impact of the water-saving renovation project was highest in channelside areas, followed by croplands, and lowest in lakeside areas. (4) The growth rates of soil salt-based ion coupling degree and coupling coordination degree after project implementation, compared with before implementation, were 17.07 % and 10.81 %. The implementation of water-saving renovation project improved soil quality. This study provides scientific support for the prevention and control of soil salinization in irrigation areas.

[Advances in Research of the Effects and Mechanisms of Polyethylene Microplastics on Soil Nitrogen Transformation].

In the agricultural lands of China, polyethylene is the main component of microplastics （MPs）, with characteristics such as small size, wide distribution, easy accumulation, and difficult degradation. Therefore, it may have an impact on the elemental cycling process of the soil. On the basis of reviewing the key literatures in the past few years, this study systematically analyzed and summarized the key factors and processes of the polyethylene microplastics （PE-MPs） affecting soil nitrogen transformation. On the one hand, PE-MPs directly affected the activities of microorganisms and key enzymes related to soil nitrogen transformation by enriching microorganisms, selecting colonized microbial populations, and releasing additives. On the other hand, PE-MPs had indirect impacts on the activities of microorganisms and key enzymes related to soil nitrogen transformation by affecting soil physicochemical properties of soil and changing the microenvironment for microbial growth. Moreover, phthalates, an important additive of the MPs, may be the key factor affecting soil nitrogen transformation in the short-term. Finally, we posed key scientific issues that should be further studied in order to provide scientific support for nitrogen nutrition regulation and ecological risk assessment of soils contaminated by PE-MPs.