Maize ZmLAZ1-3 gene negatively regulates drought tolerance in transgenic Arabidopsis.

BACKGROUND: Molecular mechanisms in response to drought stress are important for the genetic improvement of maize. In our previous study, nine ZmLAZ1 members were identified in the maize genome, but the function of ZmLAZ1 was largely unknown. RESULTS: The ZmLAZ1-3 gene was cloned from B73, and its drought-tolerant function was elucidated by expression analysis in transgenic Arabidopsis. The expression of ZmLAZ1-3 was upregulated by drought stress in different maize inbred lines. The driving activity of the ZmLAZ1-3 promoter was induced by drought stress and related to the abiotic stress-responsive elements such as MYB, MBS, and MYC. The results of subcellular localization indicated that the ZmLAZ1-3 protein localized on the plasma membrane and chloroplast. The ectopic expression of the ZmLAZ1-3 gene in Arabidopsis significantly reduced germination ratio and root length, decreased biomass, and relative water content, but increased relative electrical conductivity and malondialdehyde content under drought stress. Moreover, transcriptomics analysis showed that the differentially expressed genes between the transgenic lines and wild-type were mainly associated with response to abiotic stress and biotic stimulus, and related to pathways of hormone signal transduction, phenylpropanoid biosynthesis, mitogen-activated protein kinase signaling, and plant-pathogen interaction. CONCLUSION: The study suggests that the ZmLAZ1-3 gene is a negative regulator in regulating drought tolerance and can be used to improve maize drought tolerance via its silencing or knockout.

ROS-mediated up-regulation of SAE1 by Helicobacter pylori promotes human gastric tumor genesis and progression.

Helicobacter pylori (H. pylori) is a major risk factor of gastric cancer (GC). The SUMO-activating enzyme SAE1(SUMO-activating enzyme subunit 1), which is indispensable for protein SUMOylation, involves in human tumorigenesis. In this study, we used the TIMER and TCGA database to explore the SAE1 expression in GC and normal tissues and Kaplan-Meier Plotter platform for survival analysis of GC patients. GC tissue microarray and gastric samples from patients who underwent endoscopic treatment were employed to detect the SAE1expression. Our results showed that SAE1 was overexpressed in GC tissues and higher SAE1 expression was associated with worse clinical characteristics of GC patients. Cell and animal models showed that H. pylori infection upregulated SAE1, SUMO1, and SUMO2/3 protein expression. Functional assays suggested that suppression of SAE1 attenuated epithelial-mesenchymal transition (EMT) biomarkers and cell proliferation abilities induced by H. pylori. Cell and animal models of ROS inhibition in H. pylori showed that ROS could mediate the H. pylori-induced upregulation of SAE1, SUMO1, and SUMO2/3 protein. RNA sequencing was performed and suggested that knockdown of SAE1 could exert an impact on IGF-1 expression. General, increased SUMOylation modification is involved in H. pylori-induced GC.

Congener Variation of Genetic Dependent-Developmental Toxicology in Two Emerging Classes of Dioxin-like Compounds.

Emerging classes of dioxin-like compounds (DLCs) like hydroxylated/methoxylated polybrominated diphenyl ethers (HO-/MeO-PBDEs) and polychlorinated diphenyl sulfides (PCDPSs) could lead to diverse adverse outcomes in humans and wildlife, yet knowledge gaps exist in their molecular mechanisms associated with different structures following early life environmental exposure. This study integrated a genetic knockout technique and concentration-dependent reduced zebrafish transcriptome approach (CRZT) to unravel the toxicological pathways underpinning developmental toxicity of four HO-/MeO-PBDEs and five PCDPSs at environmentally relevant doses. Generally, the dependence of aryl hydrocarbon receptor (AhR) on the embryotoxicity and transcriptomic potencies induced by the HO-PBDEs and PCDPSs varied across different congeners. The knockout of the ahr2 gene led to 1.02- to 76.48-fold decreases of DLC-induced embryotoxicities and reduced the transcriptome-based potencies ranging from 1.38 to 2124.74 folds in the CRZT test. The fold changes denoting AhR-mediated potentials significantly increased with the increasing chlorination degrees of MeO-PBDEs and PCDPSs (p < 0.05). Moreover, ahr2 knockout primarily affected the DLC-induced early molecular responses relevant to DNA damage, enzyme activation, and organ development. Our integrated approach revealed the differential role of AhR in mediating the developmental toxicity of emerging DLCs possessing varied structures at environmentally relevant doses.

Efficient Degradation of Ciprofloxacin in Water over Copper-Loaded Biochar Using an Enhanced Non-Radical Pathway.

The development of an efficient catalyst with excellent performance using agricultural biomass waste as raw materials is highly desirable for practical water pollution control. Herein, nano-sized, metal-decorated biochar was successfully synthesized with in situ chemical deposition at room temperature. The optimized BC-Cu (1:4) composite exhibited excellent peroxymonosulfate (PMS) activation performance due to the enhanced non-radical pathway. The as-prepared BC-Cu (1:4) composite displays a superior 99.99% removal rate for ciprofloxacin degradation (initial concentration 20 mg·L-1) within 40 min. In addition, BC-Cu (1:4) has superior acid-base adaptability (3.98~11.95) and anti-anion interference ability. The trapping experiments and identification of reactive oxidative radicals confirmed the crucial role of enhanced singlet oxygen for ciprofloxacin degradation via a BC-Cu (1:4)/PMS system. This work provides a new idea for developing highly active, low-cost, non-radical catalysts for efficient antibiotic removal.

Cronkhite-Canada syndrome: a retrospective analysis of four cases at a single medical center.

OBJECTIVE: Cronkhite-Canada syndrome (CCS) is a rare disease that is characterized by multiple gastrointestinal polyps and ectodermal abnormalities. This study aimed to improve the understanding of CCS by presenting our patient data. METHODS: Clinical features, treatment, and outcomes of four CCS patients at a single medical center were retrospectively analyzed. RESULTS: The age of the patients ranged from 32 to 61 years (mean: 49.5 years), including three men and one woman. All the patients presented with gastrointestinal symptoms, ectodermal abnormalities, and multiple gastrointestinal polyps. Two patients showed abnormal immune indices. Three patients underwent magnetic resonance enterography, and the typical manifestations of small intestine involvement were diffuse wall thickening, high signal intensity on diffusion-weighted imaging, obvious enhancement, and multiple small nodular enhancements of the small intestine. The main histological manifestations were chronic inflammation and hyperplastic, adenomatoid, and hamartomatoid polyps. Eosinophilic infiltration was observed in two patients. One patient had rectal adenocarcinoma at the time of diagnosis. All the four patients received prednisone at a dose of 0.75-1 mg/kg/day, and had their gastrointestinal symptoms gradually resolved (including two with ectodermal abnormality and endoscopic remission). Two patients are currently receiving low-dose prednisone (2.5-5 mg/day) with no recurrence after a 1.5- and 6-year follow-up periods, respectively. CONCLUSION: Magnetic resonance enterography has the potential to evaluate small-intestinal lesions in CCSs. Long-term therapy with low doses of prednisone may be beneficial in maintaining remission.

Risk factors for the poor prognosis of Benign esophageal perforation: 8-year experience.

BACKGROUND: Esophageal perforation (EP) has a high mortality rate and poor prognosis. This single-center retrospective study aims to analyze the related risk factors for benign EP. METHODS: We retrospectively analyzed 135 patients with benign EP admitted to the First Affiliated Hospital of Nanchang University from January 2012 to December 2020. Univariate and multivariate logistic analysis were performed to estimate risk factors for prognosis of esophageal perforation patients. RESULTS: There were 118 EP patients with foreign body ingestion and 17 patients with nonforeign body ingestion. Fish bones (78/118) were the most common foreign body and most of the nonforeign EPs were caused by spontaneous esophageal rupture (14/17). Foreign body perforations occurred mostly in the upper thoracic segment (70/118) and middle thoracic segment (31/118), and spontaneous esophageal ruptures occurred mostly in the lower thoracic segment (15/17). Fifteen patients (11.1%) died during hospitalization or within one month of discharge. Multivariable logistic regression analysis showed that high white blood cell (WBC) levels [odds ratio (OR) = 2.229, 95% confidential interval (CI): 0.776-6.403, P = 0.025], chest or mediastinal emphysema (OR = 7.609, 95% CI: 2.418-23.946, P = 0.001), and time to treatment > 72 h (OR = 3.407, 95% CI: 0.674-17.233, P = 0.018) were independent risk factors for poor prognosis. CONCLUSION: Foreign body was the major reason for benign EP. High WBC level, chest or mediastinal emphysema and time to treatment > 72 h were risk factors for poor prognosis.

Development and validation of a nomogram for primary duodenal carcinoma: a multicenter, population-based study.

Aim: This study aimed to develop a predictive model for patients with duodenal carcinoma. Methods: Duodenal carcinoma patients from the Surveillance, Epidemiology, and End Results database (2010-2015) and the First Affiliated Hospital of Nanchang University (2010-2021) were enrolled. A nomogram was constructed according to least absolute shrinkage and selection operator regression analysis, the Akaike information criterion approach and Cox regression analysis. Results: Five independent prognostic factors were significantly associated with the prognosis of the duodenal carcinoma patients. A nomogram was constructed with a C-index in the training and validation cohorts of 0.671 (95% CI: 0.578-0.716) and 0.662 (95% CI: 0.529-0.773), respectively. Conclusion: The established nomogram model provided visualization of the risk of each prognostic factor.

A comparative study of echinacoside, oleuropein content and antioxidant properties of different solvent extracts from Syringa pubescens Turcz.

Syringa pubescens Turcz is commonly used folk medicinal herb in west of Henan Province of China. In this work, water and various concentration of methanol, ethanol and acetone in water were used as solvent to extract echinacoside and oleuropein from S. pubescens. The antioxidant properties of different extracts were evaluated using various in vitro assays. The highest yields of echinacoside and oleuropein were obtained by using the 60% aqueous methanol and 80% aqueous ethanol, respectively. The extracts of water, aqueous ethanol or methanol showed strong antioxidant abilities. Furthermore, the high correlation between echinacoside content and antioxidant properties was found. The contribution of oleuropein content was not significant to antioxidant abilities. These findings indicate that S. pubescens can be used as a new natural antioxidant resource.

Heparin-Binding Protein Levels at Admission and Within 24 h Are Associated with Persistent Organ Failure in Acute Pancreatitis.

BACKGROUND: Identification of patients at risk for persistent organ failure (POF) early in the course of acute pancreatitis (AP) is critical for early intervention. Heparin-binding protein (HBP) levels are closely related to inflammation. Therefore, we investigated the relationship between HBP levels and POF in patients with AP. METHODS: This observational cohort study analyzed 66 patients with AP and 14 healthy volunteers between June 2019 and December 2019. Baseline characteristics, laboratory data, and severity scores of patients with different degrees of AP were compared. Levels of HBP were measured by ELISA. Serum HBP levels were analyzed using receiver operating characteristic curves to identify POF in AP. RESULTS: Concentrations of serum HBP in healthy volunteers, MAP, MSAP, and SAP groups were 3.9 (range: 3.4-5) ng/ml, 5.2 (3.9-6.8) ng/ml, 5.9 (4.6-7.7) ng/ml, and 11 (8.0-13.8) ng/ml, respectively. The level of HBP in SAP patients was significantly elevated compared to the other groups (P < 0.01). HBP levels ≥ 7 ng/ml showed a specificity of 74%, a sensitivity of 90%, and an AUC of 0.82 for predicting POF. CONCLUSIONS: HBP levels in patients with POF were significantly elevated. HBP is a useful marker for predicting severe AP.

Response surface methodology optimised solvothermal system enables an efficient extraction of echinacoside and oleuropein from Syringa pubescens Turcz.

INTRODUCTION: Syringa pubescens Turcz. was reported to be abundant in the Funiu Mountains of Henan Province and can be used to treat hepatitis and cirrhosis. In order to develop and utilise the resource, a fast and simple technique to extract bioactive compounds is needed. OBJECTIVES: Our aims were to provide an extraction technique of glycosides from S. pubescens and study the antioxidant activity of this material. METHODS: Box-Behnken design (BBD) was employed with three factors at three levels. The process parameters such as ethanol concentration (X1 ), temperature (X2 ), and solvent-solid ratio (X3 ) could significantly influence efficiency and yield of target compounds. High-performance liquid chromatography (HPLC) was used to determine the content of glycosides. DPPH (α,α-diphenyl-ß-picrylhydrazyl), ABTS (2,2'-azino-bis(3-ethylbenzothiazoline-6-sulphonic acid) and reducing power were used to evaluate the antioxidant activity of S. pubescens extract. RESULTS: The optimal parameters for the maximal extraction yield were obtained with ethanol concentration of 68%, temperature of 89°C, solvent-solid ratio of 46 mL/g, and time of 20 min. The S. pubescens extract showed strong antioxidant properties in vitro. CONCLUSION: The findings indicated the potential application of solvothermal extraction method to extract bioactive compounds from S. pubescens Turcz. Furthermore, the S. pubescens extract could be used as an important resource of antioxidant activity.

A mathematical model for predicting putative association between E2/T ratio and the development of benign prostate hyperplasia in rats.

Benign prostatic hyperplasia (BPH) develops more likely with increasing age and changing serum concentrations of circulating estradiol (E2) and/or testosterone (T). In this study, we explored the relationship between serum E2/T ratio and BPH risk in rats by fitting a mathematical model. A total of 176 rats were randomized to one of the following treatment groups: normal control, castrated control, and 20 more groups of castrated animals treated with increasing dose combinations of T and E2, once daily for 30 days. Serial blood samples were obtained to determine serum T and E2 levels by magnetic bead enzyme-linked immunosorbent assay. Prostate tissue was taken to measure prostate volume. MATLAB software was used to simulate the relationship between prostate/body weight ratio (PBR) and E2/T ratio with a mathematical equation. The values of PBR, E2 and T in the treatment groups were significantly higher than those in the control groups. Stepwise regression showed that PBR was a function of E2 and T. PBR = -0.1782 + 0.0081 E2 + 0.063 T - 0.6 × 10-5 E22 - 0.28 × 10-3 T2. E2/T ratio change may be one of the risk factors for PBR, which is associated with the development of BPH.

Phase Separation of Silicon-Containing Polymer/Polystyrene Blends in Spin-Coated Films.

In this Article, two readily available polymers that contain silicon and have different surface tensions, polydimethylsiloxane (PDMS) and polyphenylsilsequioxane (PPSQ), were used to produce polymer blends with polystyrene (PS). Spin-coated thin films of the polymer blends were treated by O2 reactive-ion etching (RIE). The PS constituent was selectively removed by O2 RIE, whereas the silicon-containing phase remained because of the high etching resistance of silicon. This selective removal of PS substantially enhanced the contrast of the phase separation morphologies for better scanning electron microscope (SEM) and atomic force microscope (AFM) measurements. We investigated the effects of the silicon-containing constituents, polymer blend composition, concentration of the polymer blend solution, surface tension of the substrate, and the spin-coating speed on the ultimate morphologies of phase separation. The average domain size, ranging from 100 nm to 10 µm, was tuned through an interplay of these factors. In addition, the polymer blend film was formed on a pure organic layer, through which the aspect ratio of the phase separation morphologies was further amplified by a selective etching process. The formed nanostructures are compatible with existing nanofabrication techniques for pattern transfer onto substrates.

Measurement Guidance in Diffusion Models: Insight from Medical Image Synthesis.

In the field of healthcare, the acquisition of sample is usually restricted by multiple considerations, including cost, labor- intensive annotation, privacy concerns, and radiation hazards, therefore, synthesizing images-of-interest is an important tool to data augmentation. Diffusion models have recently attained state-of-the-art results in various synthesis tasks, and embedding energy functions has been proved that can effectively guide the pre-trained model to synthesize target samples. However, we notice that current method development and validation are still limited to improving indicators, such as Fréchet Inception Distance score (FID) and Inception Score (IS), and have not provided deeper investigations on downstream tasks, like disease grading and diagnosis. Moreover, existing classifier guidance which can be regarded as a special case of energy function can only has a singular effect on altering the distribution of the synthetic dataset. This may contribute to in-distribution synthetic sample that has limited help to downstream model optimization. All these limitations remind that we still have a long way to go to achieve controllable generation. In this work, we first conducted an analysis on previous guidance as well as its contributions on further applications from the perspective of data distribution. To synthesize samples which can help downstream applications, we then introduce uncertainty guidance in each sampling step and design an uncertainty-guided diffusion models. Extensive experiments on four medical datasets, with ten classic networks trained on the augmented sample sets provided a comprehensive evaluation on the practical contributions of our methodology. Furthermore, we provide a theoretical guarantee for general gradient guidance in diffusion models, which would benefit future research on investigating other forms of measurement guidance for specific generative tasks. Codes and models are available at: https://github.com/yangqy1110/MGDM.

Target-Guided Diffusion Models for Unpaired Cross-Modality Medical Image Translation.

In a clinical setting, the acquisition of certain medical image modality is often unavailable due to various considerations such as cost, radiation, etc. Therefore, unpaired cross-modality translation techniques, which involve training on the unpaired data and synthesizing the target modality with the guidance of the acquired source modality, are of great interest. Previous methods for synthesizing target medical images are to establish one-shot mapping through generative adversarial networks (GANs). As promising alternatives to GANs, diffusion models have recently received wide interests in generative tasks. In this paper, we propose a target-guided diffusion model (TGDM) for unpaired cross-modality medical image translation. For training, to encourage our diffusion model to learn more visual concepts, we adopted a perception prioritized weight scheme (P2W) to the training objectives. For sampling, a pre-trained classifier is adopted in the reverse process to relieve modality-specific remnants from source data. Experiments on both brain MRI-CT and prostate MRI-US datasets demonstrate that the proposed method achieves a visually realistic result that mimics a vivid anatomical section of the target organ. In addition, we have also conducted a subjective assessment based on the synthesized samples to further validate the clinical value of TGDM.

Characteristics of DOM and bacterial community in rural black and odorous water bodies under different dimensions.

Analysis of dissolved organic matter (DOM) composition and microbial characteristics is crucial for tracing the sources of rural black and odorous water bodies (BOWB). The aim of this study was to explore the DOM and microbial diversity and identify the primary environmental factors in BOWB from various pollution sources during different periods using EEMs-PARAFAC and Illumina sequencing. It was found that the physicochemical properties vary widely across different pollution types of BOWB, with higher overall content during the high-water period compared to the normal-water period. The types of dissolved organic matter in BOWB are Tyrosine proteins, Fulvic acid, Dissolved microbial metabolites, and Humic acid. During the normal-water period, DOM originates primarily from terrestrial sources in various water bodies. However, DOM affected by livestock and poultry waste and industrial effluents is influenced by both internal and external sources during periods of high water levels. In industrial waste-type BOWB, the biological sources of water are weak. Proteobacteria, Actinobacteria, Chloroflexi, Firmicutes were the dominant bacterial phyla. According to the redundancy analysis, pH (p = 0.047), Total nitrogen (TN) (p = 0.045), Organic carbon (OC) (p = 0.044), and Nickel (Ni) (p = 0.047) are the primary environmental factors influencing the composition of bacterial communities.

Monthly runoff prediction by a multivariate hybrid model based on decomposition-normality and Lasso regression.

The intensified non-stationary, skewness, non-linear nature of runoff series due to the comprehensive influences of meteorological events and human activities has brought new challenges to accurate runoff prediction. To solve the issues, a multivariate hybrid model introducing decomposition-normality mode into SVR was proposed. The normal transformation techniques, Box-Cox transformation, and W-H inverse transformation were employed to transform the input variables of the model into normal distribution to overcome the error caused by skewness of the runoff data. The results show that decomposition-normality mode can improve the performance of the models. In particular, WT-BC-LSVR accurately predicted peak flow and low flow during the testing, and the mean relative errors are less than 16%, Rs and Nash-Sutcliffe efficiencies are greater than 0.97 and 0.94, respectively. The study demonstrates that the proposed multivariate hybrid model based on the decomposition-normality mode is a novel promising prediction model with satisfactory performance that can accurately predict complex monthly runoff.

Impact of the Second Examination of the Proximal Colon on the Adenoma Detection Rate: A Prospective Randomized Controlled Trial.

INTRODUCTION: Interval colorectal cancer identified before the next surveillance colonoscopy was more likely to be located in the proximal colon. This study aimed to determine whether a second examination of the proximal colon could increase the adenoma detection rate (ADR). METHODS: Patients undergoing colonoscopy for any indications were recruited for the study. After the colonoscopy was completed with the first standard forward view examination of the proximal colon, patients were randomized to either the intervention group, in which the proximal colon was once again inspected, or the control group, in which the proximal colon was inspected once. The primary outcome was the proximal colon ADR. RESULTS: A total of 840 patients were enrolled for intention-to-treat analysis (intervention group, n = 420; control group, n = 420). The proximal colon ADR in the intervention group was significantly higher than that in the control group (35.7% vs 25.2%, P = 0.001). The whole-colon ADR was also higher in the intervention group than in the control group (44.0% vs 34.0%, P = 0.003). The higher ADR in the intervention group was also confirmed by the per-protocol analysis. Older age, adenoma detected on the first proximal colon examination, and longer total proximal colon withdrawal time were independent factors for detecting ≥1 adenoma on the second withdrawal from the proximal colon. DISCUSSION: The second examination of the proximal colon significantly increased the proximal colon ADR and whole-colon ADR in patients undergoing colonoscopy for any indication.

The impact of Ag nanoparticles on methane emission in two typical paddy soils.

Numerous applications of Ag nanoparticles (AgNPs) have increased the likelihood of their release and accumulation in agroecosystem. Thus far, few studies have evaluated the impacts of AgNPs to soil methane emissions and the microbial dynamics. In this study, microcosmic experiments were conducted to investigate the responses of methanogenic processes from two paddy soils (Cambisols and Ultisols) subjected to four AgNPs doses (0.1, 1, 10 and 50 mg/kg). The results showed that 0.1 and 1 mg/kg AgNPs had no significant effects on CH4 emissions, but 50 mg/kg AgNPs increased soil CH4 emissions in both paddy soils. The aggravation effect of AgNPs on CH4 emissions was more apparent in Ultisols compared to Cambisols paddy soils. Real-time PCR suggested that 50 mg/kg AgNPs significantly increased the ratio of methanogenic to bacterial gene for both paddy soils. Amplicon sequencing indicated that methanogenic community was clustered into a separate group after 50 mg/kg AgNPs exposure. Structural equation model illustrated that Methanosarcinales was both significantly responded to AgNPs in Cambisols and Ultisols soils; however, Methanocellales significantly responded to AgNPs only in Cambisols soils. Subsequently, uncontrolled use of AgNPs may account as an environmental risk due to the potentially increased soil CH4 emissions in paddy ecosystems.

The association of arterial stiffness with estimated excretion levels of urinary sodium and potassium and their ratio in Chinese adults.

Arterial stiffness is an independent cardiovascular risk factor. However, the association between sodium/potassium intake and arterial stiffness in the Chinese population is unclear. Therefore, we performed a large, community-based cross-sectional study to reach a more definitive conclusion. The study was conducted at the Third Xiangya Hospital in Changsha between August 2017 and September 2019. Urinary sodium, potassium, and creatinine levels were tested from spot urine samples during physical examinations of each recruited participant. The 24-hour estimated urinary sodium excretion (eUNaE) and estimated urinary potassium excretion (eUKE) levels were calculated using the Kawasaki formula (used as a surrogate for intake). The brachial-ankle pulse wave velocity (baPWV) and ankle brachial index (ABI) were measured using an automatic waveform analyzer. In 22,557 subjects with an average age of 49.3 ± 10.3 years, the relationships of the ABI and baPWV with the levels of eUNaE, eUKE and the ratio of sodium to potassium (Na/K ratio) were analyzed. A significant negative relationship was found between the eUKE and baPWV levels (ß = 2.41, p < 0.01), whereas the Na/K ratio was positively associated with baPWV (ß = 2.46, p < 0.01), especially in the overweight and hypertensive populations (both pinteraction = 0.04). The association of eUNaE quartiles with baPWV presented a J-shaped curve after adjusting for confounders. In addition, a positive association was observed between the Na/K ratio and the ABI (ß = 0.002, p < 0.01). In this study, high potassium and/or low sodium intake was further confirmed to be related to vascular stiffness in Chinese individuals.