Pristine/magnesium-loaded biochar and ZVI affect rice grain arsenic speciation and cadmium accumulation through different pathways in an alkaline paddy soil.

Cadmium (Cd) and arsenic (As) co-contamination has threatened rice production and food safety. It is challenging to mitigate Cd and As contamination in rice simultaneously due to their opposite geochemical behaviors. Mg-loaded biochar with outstanding adsorption capacity for As and Cd was used for the first time to remediate Cd/As contaminated paddy soils. In addition, the effect of zero-valent iron (ZVI) on grain As speciation accumulation in alkaline paddy soils was first investigated. The effect of rice straw biochar (SC), magnesium-loaded rice straw biochar (Mg/SC), and ZVI on concentrations of Cd and As speciation in soil porewater and their accumulation in rice tissues was investigated in a pot experiment. Addition of SC, Mg/SC and ZVI to soil reduced Cd concentrations in rice grain by 46.1%, 90.3% and 100%, and inorganic As (iAs) by 35.4%, 33.1% and 29.1%, respectively, and reduced Cd concentrations in porewater by 74.3%, 96.5% and 96.2%, respectively. Reductions of 51.6% and 87.7% in porewater iAs concentrations were observed with Mg/SC and ZVI amendments, but not with SC. Dimethylarsinic acid (DMA) concentrations in porewater and grain increased by a factor of 4.9 and 3.3, respectively, with ZVI amendment. The three amendments affected grain concentrations of iAs, DMA and Cd mainly by modulating their translocation within plant and the levels of As(III), silicon, dissolved organic carbon, iron or Cd in porewater. All three amendments (SC, Mg/SC and ZVI) have the potential to simultaneously mitigate Cd and iAs accumulation in rice grain, although the pathways are different.

Real-time prediction of the chemical oxygen demand component parameters in activated sludge model using backpropagation neural network.

Activated sludge models are increasingly being adopted to guide the operation of wastewater treatment plants. Chemical oxygen demand (COD) is an indispensable input for such models. To ensure that the activated sludge mathematical model can adapt to various water quality conditions and minimize prediction errors, it is essential to predict the parameters of the COD components in real-time based on the actual influent COD concentrations. However, conventional methods of determining the components' contributions are too intricate and time-consuming to be really useful. In this study, the chemical oxygen demand in the actual waste water treatment plant was disassembled and analyzed. The research involved determining the proportions of each COD component, assessing the reliability of the measurement parameters, and examining potential factors affecting measurement accuracy, including weather conditions, pipeline conditions, and residents' habits. Then, a backpropagation neural network was developed which can deliver real-time predictions for five important contributors to COD in real time. In addition, using the receiver operating characteristics curve and prediction accuracy to evaluate the performance of the prediction model. For all five components, which SS, XS, SI, XA, and XH, the prediction accuracy of model was more than 80 %. The maximum deviation values of these parameters fall within the range of the actual detected values, suggesting that the model's predictions align well with real-world observations, and demonstrated prediction performance adequate for practical application in wastewater treatment. This article can provide research basis for the engineering application of activated sludge model and help for the intelligent upgrading of waste water treatment plants.

The efficacy and safety of continuous theta burst stimulation for auditory hallucinations: a systematic review and meta-analysis of randomized controlled trials.

Objective: Auditory hallucinations are the most frequently occurring psychotic symptom in schizophrenia. Continuous theta burst stimulation (cTBS) has been used as an adjuvant treatment for auditory hallucinations. This meta-analysis focused on randomized controlled clinical trials (RCTs) to assess the efficacy of adjuvant cTBS on auditory hallucinations in schizophrenia. Methods: We performed a comprehensive search of four international databases from their inception to January 14, 2024, to identify relevant RCTs that assessed the effects of adjuvant cTBS on auditory hallucinations. The key words included "auditory hallucinations", "continuous theta burst stimulation" and "transcranial magnetic stimulation". Inclusion criteria included patients with auditory hallucinations in schizophrenia or schizoaffective disorder. The Revised Cochrane risk-of-bias tool for randomized trials (RoB1) were used to evaluate the risk of bias and the Review Manager Software Version 5.4 was employed to pool the data. Results: A total of 4 RCTs involving 151 patients with auditory hallucinations were included in the analysis. The Cochrane risk of bias of these studies presented "low risk" in all items. Preliminary analysis showed no significant advantage of adjuvant cTBS over sham stimulation in reducing hallucinations [4 RCTs, n = 151; SMD: -0.45 (95%CI: -1.01, 0.12), P = 0.13; I2 = 61%]. Subgroup analysis revealed that patients treated with adjuvant cTBS for more than 10 stimulation sessions and total number of pulses more than 6000 [3 RCTs, n = 87; SMD: -4.43 (95%CI: -8.22, -0.63), P = 0.02; I2 = 47%] had a statistically significant improvement in hallucination symptoms. Moreover, the rates of adverse events and discontinuation did not show any significant difference between the cTBS and sham group. Conclusions: Although preliminary analysis did not revealed a significant advantage of adjuvant cTBS over sham stimulation, subgroup analysis showed that specific parameters of cTBS appear to be effective in the treatment of auditory hallucinations in schizophrenia. Further large-scale studies are needed to determine the standard protocol of cTBS for treating auditory hallucinations. Systematic review registration: https://www.crd.york.ac.uk/prospero/, identifier CRD42024534045.

Self-Driven Graphene Photodetector Arrays Enabled by Plasmon-Induced Asymmetric Electric Field.

Gap surface plasmon (GSP) modes enhance graphene photodetectors (GPDs)' performance by confining the incident light within nanogaps, giving rise to strong light absorption. Here, we propose an asymmetric plasmonic nanostructure array on planar graphene comprising stripe- and triangle-shaped sharp tip arrays. Upon light excitation, the noncentrosymmetric metallic nanostructures show strong light-matter interactions with localized field close to the surface of tips, causing an asymmetric electric field. These features can accelerate the hot electron generation in graphene, forming a directional diffusion current. Accordingly, the artificial GPDs exhibit a wavelength-dependence behavior covering the wavelength range from 0.8 to 1.6 µm, with three photoresponse maxima corresponding to the nanostructures' resonances. Additionally, the polarization-dependent GPDs can realize a responsivity of ∼25 mA/W and a noise equivalent power of ∼0.44 nW/Hz1/2 at zero bias when excited at the resonance of 1.4 µm. Overall, our study offers a new strategy for preparing compact and multifrequency infrared GPDs.

Strategies to Improve Access to Care for Patients With Opioid Use Disorder.

Treatment of opioid use disorder (OUD) faces several challenges, including restricted access to medications, geographical and logistical barriers, and variability in treatment availability across different communities. This article outlines several strategies aimed at improving access to medications. Pharmacy-based care could potentially extend access to medications but would require regulatory changes to empower pharmacists. In addition, telemedicine has shown promise in improving access by mitigating geographic and transportation barriers. Mobile health clinics also offer a direct approach to delivering medication-based treatments to underserved communities. Furthermore, integrating OUD treatment into primary care settings could facilitate early detection and treatment. Policy changes have increased access to take-home medications and buprenorphine initiation at home. Community engagement would be crucial for tackling the social determinants of health to offer equitable care for patients. The implementation of these strategies has the potential to significantly enhance the accessibility and delivery of effective, timely and equitable treatment to patients with OUD.

GelMA loaded with exosomes from human minor salivary gland organoids enhances wound healing by inducing macrophage polarization.

Non-healing skin wounds pose significant clinical challenges, with biologic products like exosomes showing promise for wound healing. Saliva and saliva-derived exosomes, known to accelerate wound repair, yet their extraction is difficult due to the complex environment of oral cavity. In this study, as a viable alternative, we established human minor salivary gland organoids (hMSG-ORG) to produce exosomes (MsOrg-Exo). In vitro, MsOrg-Exo significantly enhanced cell proliferation, migration, and angiogenesis. When incorporated into a GelMA-based controlled-release system, MsOrg-Exo demonstrated controlled release, effectively improving wound closure, collagen synthesis, angiogenesis, and cellular proliferation in a murine skin wound model. Further molecular analyses revealed that MsOrg-Exo promotes proliferation, angiogenesis and the secretion of growth factors in wound sites. Proteomic profiling showed that MsOrg-Exo's protein composition is similar to human saliva and enriched in proteins essential for wound repair, immune modulation, and coagulation. Additionally, MsOrg-Exo was found to modulate macrophage polarization, inducing a shift towards M1 and M2 phenotypes in vitro within 48 h and predominantly towards the M2 phenotype in vivo after 15 days. In conclusion, our study successfully extracted MsOrg-Exo from hMSG-ORGs, confirmed the effectiveness of the controlled-release system combining MsOrg-Exo with GelMA in promoting skin wound healing, and explored the potential role of macrophages in this action.

SMU1 Knockdown Suppresses Gastric Carcinoma Growth, Migration, and Invasion and Modulates the Cell Cycle.

INTRODUCTION: The role of SMU1 in DNA replication and RNA splicing is well-established, yet its specific function and dysregulated mechanisms in gastric cancer (GC) remain inadequately elucidated. This study seeks to investigate the potential oncogenic and progression-promoting effects of SMU1 in GC, with the ultimate goal of informing novel approaches for treatment and diagnosis. METHODS: The study investigated the expression levels of SMU1 in GC and adjacent normal tissues by analyzing data from the TCGA (27 tissue pairs) and GEO (47 tissue pairs) databases. Immunohistochemistry was used to examine 277 tumor tissue and adjacent non-tumor tissue spots from GC tissue chips, along with relevant follow-up information. The study further assessed the proliferation, invasion, and migration capabilities of cells by manipulating SMU1 expression levels and conducting various assays, including CCK-8, EdU incorporation, colony formation, transwells, flow cytometry, and subcutaneous tumorigenesis assays. RESULTS: Our study revealed a significant upregulation of SMU1 mRNA and protein levels in GC tissues compared to adjacent tissues. Univariate and multivariate Cox analysis demonstrated that elevated levels of SMU1 were independent prognostic factors for GC prognosis (P = 0.036). Additionally, median survival analysis indicated a significant association between high SMU1 expression and poor prognosis in GC patients (P = 0.0002). In experiments conducted both in vivo and in vitro, it was determined that elevated levels of SMU1 can enhance the proliferation, invasion, and migration of GC cells, whereas suppression of SMU1 can impede the progression of GC by modulating the G1/S checkpoint of the cell cycle. CONCLUSIONS: Our research introduces the novel idea that SMU1 could serve as a prognostic marker for GC progression, influencing cell proliferation through cell cycle activation. These results offer valuable insights into the understanding, diagnosis, and management of gastric carcinoma.

Association of Maternal Mild Hypothyroidism in the First and Third Trimesters with Obstetric and Perinatal Outcomes: A Prospective Cohort Study.

BACKGROUND: Mild hypothyroidism, including subclinical hypothyroidism (SCH) and isolated maternal hypothyroxinemia (IMH), is fairly common in pregnant women, but its impact on pregnancy outcomes is less clear, especially mild hypothyroidism in late pregnancy. OBJECTIVE: To evaluate the impact of SCH and IMH in the first and third trimesters, respectively, on obstetric and perinatal outcomes. STUDY DESIGN: This large prospective study was conducted at the International Peace Maternity and Child Health Hospital (IPMCH) in Shanghai. 52,027 pregnant women who underwent the first-trimester antenatal screening at IPMCH were consecutively enrolled from January 2013 to December 2016. To evaluate the impact of maternal SCH and IMH in the first trimester on pregnancy outcomes, participants were divided into three groups according to thyroid function in the first trimester: first-trimester euthyroidism group (n= 33,130), first-trimester SCH group (n= 884), and first-trimester IMH group (n= 846). Then, to evaluate the impact of maternal SCH and IMH in the third trimester on pregnancy outcomes, the first-trimester euthyroidism group was subdivided into three groups according to thyroid function in the third trimester: third-trimester euthyroidism group (n= 30,776), third-trimester SCH group (n= 562), and third-trimester IMH group (n= 578). Obstetric and perinatal outcomes, including preterm birth (PTB), preeclampsia, gestational hypertension, gestational diabetes mellitus (GDM), large for gestational age (LGA), small for gestational age, macrosomia, cesarean section, and fetal demise were measured and compared between those in either SCH/IMH group and euthyroid group. Binary logistic regression was used to assess the association of SCH or IMH with these outcomes. RESULTS: 34,860 pregnant women who had first (weeks 8-14) and third trimester (weeks 30-35) thyrotropin and free thyroxine concentrations available were included in the final analysis. Maternal SCH in the first trimester was linked to a lower risk of GDM (aOR 0.64, 95% CI 0.50-0.82) compared with the euthyroid group. However, third-trimester SCH is associated with heightened rates of PTB (aOR 1.56, 95%CI 1.10-2.20), preeclampsia (aOR 2.23, 95%CI 1.44-3.45), and fetal demise (aOR 7.00, 95%CI 2.07-23.66) compared with the euthyroid group. IMH in the first trimester increased risks of preeclampsia (aOR 2.14, 95% CI 1.53-3.02), GDM (aOR 1.45, 95%CI 1.21-1.73), LGA (aOR 1.64, 95%CI 1.41-1.91), macrosomia (aOR 1.85, 95%CI 1.49-2.31) and cesarean section (aOR 1.35, 95%CI 1.06-1.74), while IMH in the third trimester increased risks of preeclampsia (aOR 2.85, 95%CI 1.97-4.12), LGA (aOR 1.49, 95%CI 1.23-1.81) and macrosomia (aOR 1.60, 95%CI 1.20-2.13) compared with the euthyroid group. CONCLUSION: This study indicates that while first-trimester SCH did not elevate the risk for adverse pregnancy outcomes, third-trimester SCH was linked to several adverse pregnancy outcomes. IMH in the first and third trimesters was associated with adverse pregnancy outcomes, yet the impact varied by trimester. These results suggest the timing of mild hypothyroidism in pregnancy may be pivotal in determining its effects on adverse pregnancy outcomes and underscore the importance of trimester-specific evaluations of thyroid function.

GREM1 Negatively Regulates Osteo-/Dentinogenic Differentiation of Dental Pulp Stem Cells via Association with YWHAH.

OBJECTIVE: To investigate the biological regulatory function of Gremlin1 (GREM1) and tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein eta (YWHAH) in dental pulp stem cells (DPSCs), and determine the underlying molecular mechanism involved. METHODS: Alkaline phosphatase (ALP) activity, alizarin red staining, scratch migration assays and in vitro and in vivo osteo-/dentinogenic marker detection of bone-like tissue generation in nude mice were used to assess osteo-/dentinogenic differentiation. Coimmunoprecipitation and polypeptide microarray assays were employed to detect the molecular mechanisms involved. RESULTS: The data revealed that knockdown of GREM1 promoted ALP activity, mineralisation in vitro and the expression of osteo-/dentinogenic differentiation markers and enhanced osteo-/ dentinogenesis of DPSCs in vivo. GREM1 bound to YWHAH in DPSCs, and the binding site was also identified. Knockdown of YWHAH suppressed the osteo-/dentinogenesis of DPSCs in vitro, and overexpression of YWHAH promoted the osteo-/dentinogenesis of DPSCs in vitro and in vivo. CONCLUSION: Taken together, the findings highlight the critical roles of GREM1-YWHAH in the osteo-/dentinogenesis of DPSCs.

Belamcanda chinensis extract inhibits non-small cell lung cancer proliferation and induces apoptosis via inhibiting the MAPK (Ras/Raf) and Akt pathways.

Non-small cell lung cancer (NSCLC) is associated with high mortality and morbidity rates. Despite major progress of treatment of NSCLC over the past few decades, the prognosis of advanced NSCLC is poor, with 5-year survival rates ranging from 2 % to 13 %. Belamcanda chinensis is a traditional Chinese medicine used to promote blood circulation, reduce swelling, heal ulcers, disperse lumps and tumors, and resolve blood stasis. In the present study, the anti-proliferative and pro-apoptotic effects and potential mechanisms of action of Belamcanda chinensis extract (BCE) in SPC-A1 and NCI-H460 NSCLC cells were investigated using MTS, flow cytometry, and western blotting. Also, xenograft model in vivo was established to investigate the anti-NSCLC effects of BCE. The compounds in BCE were quantified using gas chromatography-mass spectrometry (GC-MS). Twenty compounds were found in BCE, and BCE induced cell cycle arrest significantly inhibited the proliferation of NSCLC. Furthermore, BCE was found to induce Cyto C release and the activation of Caspase-3, -8, -9, PARP, ultimately inducing apoptosis in NSCLC cells through both exogenous and endogenous apoptotic pathways (the mitochondrial pathway). BCE also blocked the MAPK (Ras/Raf) and Akt signaling pathways, significantly downregulating the expression of Ras, Raf, Erk1/2, p-Erk1/2, Akt, and p-Akt proteins. Furthermore, BCE significantly inhibited the growth of NSCLC cells SPC-A1 in nude mice and downregulated Ras, Raf, Akt, and p-Akt expression in vivo. The antitumor effects of BCE suggest its potential clinical application in patients with NSCLC, especially in those bearing Ras or Raf mutations.

Deepdive: Leveraging Pre-trained Deep Learning for Deep-Sea ROV Biota Identification in the Great Barrier Reef.

Understanding and preserving the deep sea ecosystems is paramount for marine conservation efforts. Automated object (deep-sea biota) classification can enable the creation of detailed habitat maps that not only aid in biodiversity assessments but also provide essential data to evaluate ecosystem health and resilience. Having a significant source of labelled data helps prevent overfitting and enables training deep learning models with numerous parameters. In this paper, we contribute to the establishment of a significant deep-sea remotely operated vehicle (ROV) image classification dataset with 3994 images featuring deep-sea biota belonging to 33 classes. We manually label the images through rigorous quality control with human-in-the-loop image labelling. Leveraging data from ROV equipped with advanced imaging systems, our study provides results using novel deep-learning models for image classification. We use deep learning models including ResNet, DenseNet, Inception, and Inception-ResNet to benchmark the dataset that features class imbalance with many classes. Our results show that the Inception-ResNet model provides a mean classification accuracy of 65%, with AUC scores exceeding 0.8 for each class.

[Population structure and fruiting ability of Rosa persica]. / 单叶蔷薇种群结构与结实能力.

We analyzed age structure and dynamics, spatial distribution patterns, and reproductive capabilities of four Rosa persica populations in Xinjiang, to evaluate the survival status of the species and explore the reasons behind its endangerment. The results showed that the populations had fewer individuals in the youngest (Ⅰ) and oldest (Ⅵ-Ⅷ) age classes, with a predominance of middle-aged individuals, resulting in an irregular pyramid-shaped distribution, described as "high in the middle, low on both sides". The populations were generally growing, but were susceptible to external environmental disturbances (Vpi'＞0, Pmax＞0). The mortality rate (qx) and vanish rate (Kx) peaked at age Ⅴ, leading to a sharp decline in plant abundance. The life expectancy (ex) decreased progressively with the increases of age class, reaching its lowest at age Ⅷ, which indicated minimal vitality at this stage. A time sequence analysis predicted a future dominance of individuals at age Ⅴ-Ⅷ, suggesting an aging trend. Spatially, the four populations were predominantly clumped, with the intensity of clumping ranked from highest to lowest as P4, P3, P1, and P2. P3 and P4 exhibited better reproductive capabilities than P1 and P2. There was a significant positive correlation between hundred-fruit weight and plant height and crown width, and between total seed number and crown width and hundred-fruit weight.

Cross-View Representation Learning-Based Deep Multiview Clustering With Adaptive Graph Constraint.

Deep multiview clustering provides an efficient way to analyze the data consisting of multiple modalities and features. Recently, the autoencoder (AE)-based deep multiview clustering algorithms have attracted intensive attention by virtue of their rewarding capabilities of extracting inherent features. Nevertheless, most existing methods are still confronted by several problems. First, the multiview data usually contains abundant cross-view information, thus parallel performing an individual AE for each view and directly combining the extracted latent together can hardly construct an informative view-consensus feature space for clustering. Second, the intrinsic local structures of multiview data are complicated, hence simply embedding a preset graph constraint into multiview clustering models cannot guarantee expected performance. Third, current methods commonly utilize the Kullback-Leibler (KL) divergence as clustering loss and accordingly may yield appalling clusters that lack discriminate characters. To solve these issues, in this article we propose two new AE-based deep multiview clustering algorithms named AE-based deep multiview clustering model incorporating graph embedding (AG-DMC) and deep discriminative multiview clustering algorithm with adaptive graph constraint (ADG-DMC). In AG-DMC, a novel cross-view representation learning model is established delicately by performing decoding processes based on the cascaded view-specific latent to learn sound view-consensus features for inspiring clustering results. In addition, an entropy-regularized adaptive graph constraint is imposed on the obtained soft assignments of data to precisely preserve potential local structures. Furthermore, in the improved model ADG-DMC, the adversarial learning mechanism is adopted as clustering loss to strengthen the discrimination of different clusters for better performance. In the comprehensive experiments carried out on eight real-world datasets, the proposed algorithms have achieved superior performance in the comparison with other advanced multiview clustering algorithms.

Exploring Strategies to Alleviate Reproductive Concerns in Cancer Survivors: A Comprehensive Scoping Review of International Research.

Objective: This review aims to summarize existing interventions from the international literature addressing fertility concerns in cancer patients, providing theoretical and practical guidance for future interventions. Methods: In September 2023, a systematic search covering 13 databases was conducted using the methodology outlined by the Joanne Briggs Institute for a comprehensive systematic review. This search identified published English and Chinese-language papers. Results: A total of 20 studies meeting inclusion criteria were included in this review. The studies predominantly originated in China and the United States. A comprehensive synthesis of interventions from the included literature across three dimensions and seven aspects was conducted. The interventions primarily focused on psychological interventions and web-based self-help tools for patients. The Reproductive Concerns After Cancer Scale (RCAC) was the primary assessment tool employed. Conclusion: Addressing fertility concerns in cancer patients is a complex issue involving various stakeholders and diverse intervention strategies. Lessons from international research can inform the development of context-specific interventions tailored to individual needs.

Unveiling the Structural Characteristics of Lignin and Lignin-Carbohydrate Complexes in Fibers and Parenchyma Cells of Moso Bamboo during Different Growing Years.

Understanding and recognizing the structural characteristics of lignin-carbohydrate complexes (LCCs) and lignin in different growth stages and tissue types of bamboo will facilitate industrial processes and practical applications of bamboo biomass. Herein, the LCC and lignin samples were sequentially isolated from fibers and parenchyma cells of bamboo with different growth ages. The diverse yields of sequential fractions not only reflect the different biomass recalcitrance between bamboo fibers and parenchyma cells but also uncover the structural heterogeneity of these tissues at different growth stages. The molecular structures and structural inhomogeneities of the isolated lignin and LCC samples were comprehensively investigated. The results showed that the structural features of lignin and LCC linkages in parenchyma cells were abundant in ß-O-4 linkages but less with carbon-carbon linkages, suggesting that lignin and cross-linked LCC in parenchyma cells are simple in nature and easily to be tamed and tractable in the current biorefinery. Parallelly, the different ball-milled samples were directly characterized by high-resolution (800 M) solution-state 2D-HSQC NMR to analyze the whole lignocellulosic material. Overall, the scheme presented in this study will provide a comprehensive understanding of lignin and LCC linkages in fibers and parenchyma cells of bamboo and enable the utilization of bamboo biomass.

Evaporative self-assembly in colloidal droplets: Emergence of ordered structures from complex fluids.

Colloidal droplet evaporation is an intriguing and intricate phenomenon that has captured the interest of scientists across diverse disciplines, including physical chemistry, fluid dynamics, and soft matter science, over the past two decades. Despite being a non-equilibrium system with inherent challenges posed by coffee ring formation and Marangoni effects, which hinder the precise control of deposition patterns, evaporative self-assembly presents a convenient and cost-effective approach for generating arrays of well-ordered structures and functional patterns with wide-ranging applications in inkjet printing, photonic crystals, and biochemical assays. In the realm of printed electronics and photonics, effectively mitigating coffee rings while achieving uniformity and orderliness has emerged as a critical factor in realising the next generation of large-area, low-cost, flexible devices that are exceptionally sensitive and high-performance. This review highlights the evaporative self-assembly process in colloidal droplets with a focus on the intricate mechanical environment, self-assembly at diverse interfaces, and potential applications of these assembling ordered structures.

Risk factors of malnutrition in children with congenital heart disease: a meta-analysis.

Background: The associated factors of malnutrition in children with congenital heart disease (CHD) must be evaluated to provide evidence for the treatment and care of such children. Methods: Two investigators searched the PubMed database until 25 June 2023 for literature about the associated factors of malnutrition in children with CHD. A meta-analysis of associated factors of malnutrition was performed by RevMan 5.3 software. Results: Thirteen studies involving 8,031 children with CHD were included. Pulmonary hypertension (OR = 3.81, 95% CI: 2.46-4.12), low birth weight (OR = 2.69, 95% CI: 1.25-5.77) and parents' height (OR = 2.15, 95% CI: 1.89-2.92) were the associated factors of growth retardation (all P < 0.05). Pulmonary hypertension (OR = 3.77, 95% CI: 3.13-4.24), low birth weight (OR = 3.04, 95% CI: 2.61-4.18) and pneumonia (OR = 2.35, 95% CI: 2.08-2.83) were the associated factors of low body weight of children with CHD (all P < 0.05). Conclusions: Medical staff should fully understand the risk factors, strengthen nutritional support and enhance nursing care for children with CHD to reduce malnutrition.

Phase-resolved MRI for measurement of pulmonary perfusion and ventilation defects in comparison with dynamic contrast-enhanced MRI and 129Xe MRI.

INTRODUCTION: This meta-analysis aims to evaluate the agreement and correlation between phase-resolved functional lung MRI (PREFUL MRI) and dynamic contrast-enhanced (DCE) MRI in evaluating perfusion defect percentage (QDP), as well as the agreement between PREFUL MRI and 129Xe MRI in assessing ventilation defect percentage (VDP). METHOD: A systematic search was conducted in the Medline, Embase and Cochrane Library databases to identify relevant studies comparing QDP and VDP measured by DCE MRI and 129Xe MRI compared with PREFUL MRI. Meta-analytical techniques were applied to calculate the pooled weighted bias, limits of agreement (LOA) and correlation coefficient. The publication bias was assessed using Egger's regression test, while heterogeneity was assessed using Cochran's Q test and Higgins I2 statistic. RESULTS: A total of 399 subjects from 10 studies were enrolled. The mean difference and LOA were -2.31% (-8.01% to 3.40%) for QDP and 0.34% (-4.94% to 5.62%) for VDP. The pooled correlations (95% CI) were 0.65 (0.55 to 0.73) for QDP and 0.72 (0.61 to 0.80) for VDP. Furthermore, both QDP and VDP showed a negative correlation with forced expiratory volume in 1 s (FEV1). The pooled correlation between QDP and FEV1 was -0.51 (-0.74 to -0.18), as well as between VDP and FEV1 was -0.60 (-0.73 to -0.44). CONCLUSIONS: PREFUL MRI is a promising imaging for the assessment of lung function, as it demonstrates satisfactory deviations and LOA when compared with DEC MRI and 129Xe MRI. PROSPERO REGISTRATION NUMBER: CRD42023430847.

Rumen Microbiota Transplantation Alleviates Gossypol Diet-Induced Reproductive, Liver, and Intestinal Damage in Male Mice.

Ruminants exhibit stronger tolerance to gossypol, an anti-nutritional factor, compared to monogastric animals. We transplanted Hu sheep rumen microbiota into male mice to investigate the role of rumen microbiota in animal gossypol tolerance. Thirty specific-pathogen-free (SPF) male C57BL/6 mice were randomly divided into three groups: normal diet (CK group), gossypol diet (FG group), and rumen microbiota transplantation (FMT group, gossypol diet). The pathological changes in the liver and small intestine of the mice, the organ coefficient, and sperm parameters were analyzed. Alanine aminotransferase (ALT) and aspartate aminotransferase (AST) levels in the blood and lactate dihydrogen-X (LDH-X) levels in the testicular tissue were also measured. The results showed that body weight, feed intake, sperm concentration, sperm motility, and LDH-X levels in the FMT group increased (p < 0.05) compared with the FG group, while the enzyme activities of ALT, AST, and AST/ALT decreased (p < 0.05). In the FMT group, the injury to liver cells was alleviated, the structure of the small intestine was intact, and the villus height and the ratio of villus height to crypt depth (V/C) were higher than those in the FG group (p < 0.05). And there were no differences in various organ coefficients and sperm deformity rates among the three groups (p > 0.05), but compared with the FG group, mice in the FMT group showed tendencies closer to those in the CK group. Rumen microbiota transplantation relieved the reproductive toxicity and liver damage induced by gossypol in male mice and improved the tolerance of recipient animals to gossypol. Additionally, rumen microbes improved the intestinal structural integrity of recipients.