4D-diaXLMS: Proteome-wide Four-Dimensional Data-Independent Acquisition Workflow for Cross-Linking Mass Spectrometry.

Cross-linking mass spectrometry (XL-MS) is a powerful tool for examining protein structures and interactions. Nevertheless, analysis of low-abundance cross-linked peptides is often limited in the data-dependent acquisition (DDA) mode due to its semistochastic nature. To address this issue, we introduced a workflow called 4D-diaXLMS, representing the first-ever application of four-dimensional data-independent acquisition for proteome-wide cross-linking analysis. Cross-linking studies of the HeLa cell proteome were evaluated using the classical cross-linker disuccinimidyl suberate as an example. Compared with the DDA analysis, 4D-diaXLMS exhibited marked improvement in the identification coverage of cross-linked peptides, with a total increase of 36% in single-shot analysis across all 16 SCX fractions. This advantage was further amplified when reducing the fraction number to 8 and 4, resulting in 125 and 149% improvements, respectively. Using 4D-diaXLMS, up to 83% of the cross-linked peptides were repeatedly identified in three replicates, more than twice the 38% in the DDA mode. Furthermore, 4D-diaXLMS showed good performance in the quantitative analysis of yeast cross-linked peptides even in a 15-fold excess amount of HeLa cell matrix, with a low coefficient of variation and high quantitative accuracies in all concentrations. Overall, 4D-diaXLMS was proven to have high coverage, good reproducibility, and accurate quantification for in-depth XL-MS analysis in complex samples, demonstrating its immense potential for advances in the field.

High-Coverage Four-Dimensional Data-Independent Acquisition Proteomics and Phosphoproteomics Enabled by Deep Learning-Driven Multidimensional Predictions.

Four-dimensional (4D) data-independent acquisition (DIA)-based proteomics is a promising technology. However, its full performance is restricted by the time-consuming building and limited coverage of a project-specific experimental library. Herein, we developed a versatile multifunctional deep learning model Deep4D based on self-attention that could predict the collisional cross section, retention time, fragment ion intensity, and charge state with high accuracies for both the unmodified and phosphorylated peptides and thus established the complete workflows for high-coverage 4D DIA proteomics and phosphoproteomics based on multidimensional predictions. A 4D predicted library containing ∼2 million peptides was established that could realize experimental library-free DIA analysis, and 33% more proteins were identified than using an experimental library of single-shot measurement in the example of HeLa cells. These results show the great values of the convenient high-coverage 4D DIA proteomics methods.

Enhanced bone regeneration by low-intensity pulsed ultrasound and lipid microbubbles on PLGA/TCP 3D-printed scaffolds.

BACKGROUND: To investigate the effect of low-intensity pulsed ultrasound (LIPUS) combined with lipid microbubbles on the proliferation and bone regeneration of bone marrow mesenchymal stem cells (BMSCs) in poly (lactic-glycolic acid copolymer) (PLGA)/α-tricalcium phosphate (TCP) 3D-printed scaffolds. METHODS: BMSCs were irradiated with different LIPUS parameters and microbubble concentrations, and the best acoustic excitation parameters were selected. The expression of type I collagen and the activity of alkaline phosphatase were detected. Alizarin red staining was used to evaluate the calcium salt production during osteogenic differentiation. RESULTS: BMSCs proliferation was the most significant under the condition of 0.5% (v/v) lipid microbubble concentration, 2.0 MHz frequency, 0.3 W/cm2 sound intensity and 20% duty cycle. After 14 days, the type I collagen expression and alkaline phosphatase activity in the scaffold increased significantly compared to those in the control group, and alizarin red staining showed more calcium salt production during osteogenic differentiation. After 21 days, scanning electron microscopy experiments showed that osteogenesis was obvious in the PLGA/TCP scaffolds. CONCLUSION: LIPUS combined with lipid microbubbles on PLGA/TCP scaffolds can promote BMSCs growth and bone differentiation, which is expected to provide a new and effective method for the treatment of bone regeneration in tissue engineering.

Uncovering the interference from lipid fragments on the qualification and quantification of serum metabolites in matrix-assisted laser desorption/ionization time-of-flight mass spectrometric analysis.

RATIONALE: Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has exhibited great advantages in rapid analysis of metabolites. However, the influence of lipid fragments generated by in-source fragmentation (ISD) and/or post-source fragmentation (PSD) on the accurate qualification and quantification of metabolites has not been fully demonstrated. METHODS: Phospholipid standards and serum extract were analyzed by MALDI MS with both TiO2 nanoparticle (TiO2 NP) and 2,5-DHB matrices to illustrate the structures of lipid fragments and their influence on the qualitative and quantitative analysis of metabolites in biological samples. Monophasic and biphasic extraction methods were also compared for their efficiency in removing potential interferents. RESULTS: The fragment ions derived from the phosphocholine head group of phosphatidylcholines (PC) interfere with peaks of low molecular weight (LMW) metabolites at both the MS and MS2 levels. The biphasic extraction system with methanol/chloroform very efficiently removed the interference from PC fragments, and the metabolites choline and carnitine in serum were directly and accurately quantified by MALDI MS by using this biphasic extraction. CONCLUSIONS: The phospholipids could produce fragment ions through ISD and PSD in MALDI MS with both nanoparticle and organic matrices. The fragments exerted influence on the qualification and qualification of metabolites in serum. By choosing the proper extraction method, the interference from lipid fragments could be efficiently alleviated.

High-Throughput Nano-Electrostatic-Spray Ionization/Photoreaction Mass Spectrometric Platform for the Discovery of Visible-Light-Activated Photocatalytic Reactions in the Picomole Scale.

Visible-light-activated photocatalysis has emerged as a green and powerful tool for the synthesis of various organic compounds under mild conditions. However, the expeditious discovery of novel photocatalysts and synthetic pathways remains challenging. Here, we developed a bifunctional platform that enabled the high-throughput discovery and optimization of new photochemical reactions down to the picomole scale. This platform was designed based on a contactless nano-electrostatic-spray ionization technique, which allows synchronized photoreactions and high-throughput in situ mass spectrometric analysis with a near-100% duty cycle. Using this platform, we realized the rapid screening of photocatalytic reactions in ambient conditions with a high speed of less than 1.5 min/reaction using picomolar materials. The versatility was validated by multiple visible-light-induced photocatalytic reactions, especially the discovery of aerobic C-H thiolation with low-cost organic photocatalysts without any other additives. This study provided a new paradigm for the integration of ambient ionization techniques and new insights into photocatalytic reaction screening, which will have broad applications in the development of new visible-light-promoted reactions.

BIG regulates stomatal immunity and jasmonate production in Arabidopsis.

Plants have evolved an array of responses that provide them with protection from attack by microorganisms and other predators. Many of these mechanisms depend upon interactions between the plant hormones jasmonate (JA) and ethylene (ET). However, the molecular basis of these interactions is insufficiently understood. Gene expression and physiological assays with mutants were performed to investigate the role of Arabidopsis BIG gene in stress responses. BIG transcription is downregulated by methyl JA (MeJA), necrotrophic infection or mechanical injury. BIG deficiency promotes JA-dependent gene induction, increases JA production but restricts the accumulation of both ET and salicylic acid. JA-induced anthocyanin accumulation and chlorophyll degradation are enhanced and stomatal immunity is impaired by BIG disruption. Bacteria- and lipopolysaccaride (LPS)-induced stomatal closure is reduced in BIG gene mutants, which are hyper-susceptible to microbial pathogens with different lifestyles, but these mutants are less attractive to phytophagous insects. Our results indicate that BIG negatively and positively regulate the MYC2 and ERF1 arms of the JA signalling pathway. BIG warrants recognition as a new and distinct regulator that regulates JA responses, the synergistic interactions of JA and ET, and other hormonal interactions that reconcile the growth and defense dilemma in Arabidopsis.

Directing-Group-Free C7-Alkylations of N-Alkylindoles Mediated by Cationic Zirconium Complexes: Role of Brønsted Acid for Catalytic Manifold.

Highly position selective alkylations of N-alkylindoles at C7-positions have been enabled by cationic zirconium complexes. The strategy provides a straightforward access to install alkyl groups at C7-positions of indoles without a complex directing group. Mechanistic studies provided support for the importance of Brønsted acids in the catalytic manifold.

[Investigation of aflatoxins,mycobiota,and toxigenic fungi during post-harvest handling of Ziziphi Spinosae Semen].

Ziziphi Spinosae Semen is one of the Chinese herbal medicine being susceptible to aflatoxins contamination. To investigate the sources of aflatoxins contamination and toxigenic fungi species on Ziziphi Spinosae Semen,32 samples were collected from multiple steps during the post-harvest processing in this study. Aflatoxins in these samples were determined by immunoaffinity column and HPLC coupled with post-column photochemical derivatization. The dilution-plate method was applied to the fungi isolation. The isolated fungi strains were identified by morphological characterization and molecular approaches. The results showed that aflatoxins were detected in 28 samples from every step during the processing of Ziziphi Spinosae Semen. Three samples were detected with aflatoxin B_1 and 2 samples with both aflatoxin B_1 and total aflatoxin exceeding the limit of Chinese Pharmacopoeia. Especially the samples from the washing step,with the highest detected amounts of AFB_1 and AFs were reached 94. 79,121. 43 µg·kg~(-1),respectively. All 32 samples were contaminated by fungi. The fungal counts on the newly harvested samples were 2. 20 × 10~2 CFU·g~(-1). Moreover,it increased as tphreocessing progresses,and achieved 1. 16×10~6 CFU·g~(-1) after washing. A total of 321 isolates were identified to 17 genera. Aspergillus flavus was the main source of aflatoxins during the processing and storage of Ziziphi Spinosae Semen. One isolate of A. flavus was confirmed producing AFB_1 and AFB_2. The fungal count was significantly increased by composting,and Aspergillus was the predominant genus after shell breaking. The contamination level of aflatoxins was increased by composting and washing.

The effects and mechanisms of SLC34A2 on tumorigenicity in human non-small cell lung cancer stem cells.

A novel paradigm in tumor biology suggests that non-small cell lung cancer (NSCLC) growth is driven by lung cancer stem cell-like cells (LCSCs), but molecular mechanisms regulating tumorigenic and self-renewal potential of LCSCs are still unclear. Here, we aim to investigate biological function of SLC34A2 in regulating tumorigenicity of LCSCs and its underlying mechanisms. Our findings testified that CD166(+) cells which were derived from fresh primary NSCLC samples displayed stem cell-like features. Fluorescence-activated cell sorting (FACS) analysis showed the presence of a variable fraction of CD166 cells in 15 out of 15 NSCLC samples. Significantly, CD166(+) LCSCs from primary NSCLC tumors expressed high level of SLC34A2 which was required for CD166(+) LCSCs tumorigenic and self-renewal potential. In NSCLC patient cohort, increased SLC34A2 expression correlated with histology, which suggests a potential role of SLC34A2 in CD166(+) LCSCs. Furthermore, Wnt/ß-catenin pathway and Bmi1 were found necessary for tumorigenicity and self-renewal capacity of CD166(+) LCSCs by a series in vitro and in vivo experiments. Then, our study indicated that SLC34A2 regulated Bmi1 to promote tumorigenic and self-renewal potential of CD166(+) LCSCs through Wnt/ß-catenin pathway. In this study, the characterization of molecular basis of SLC34A2 in CD166(+) LCSCs not only allows for better understanding of the mechanisms regulating tumorigenicity of this specific population of NSCLC cells but also provides insight into the gradual improvement of more effective cancer therapies against this disease.

Metal Oxide-Based Selective Enrichment Combined with Stable Isotope Labeling-Mass Spectrometry Analysis for Profiling of Ribose Conjugates.

Some modified ribonucleosides in biological fluids have been evaluated as cancer-related metabolites. Detection of endogenous modified ribonucleosides in biological fluids may serve as a noninvasive cancers diagnostic method. However, determination of modified ribonucleosides is still challenging because of their low abundance and serious matrix interferences in biological fluids. Here, we developed a novel strategy for comprehensive profiling of ribose conjugates from biological fluids using metal oxide-based dispersive solid-phase extraction (DSPE) followed with in vitro stable isotope labeling and double neutral loss scan-mass spectrometry analysis (DSPE-SIL-LC-DNLS-MS). Cerium dioxide (CeO2) was used to selectively recognize and capture ribose conjugates from complex biological samples under basic environment. The enriched ribose conjugates were subsequently labeled with a pair of isotope labeling reagents (acetone and acetone-d6). The glucosidic bond of acetone labeled ribose conjugates is readily ruptured, and the generated ribose that carries an isotope tag can be lost as a neutral fragment under collision induced dissociation (CID). Since the light (acetone) and heavy (acetone-d6) labeled compounds have the same chemical structures and can generate different neutral loss fragments (NL 172 and 178 Da), it is therefore highly convenient to profile ribose conjugates by double neutral loss scan mode in mass spectrometry analysis. In this respect, the light and heavy labeled compounds were ionized at the same condition but recorded separately on MS spectra, which can significantly improve the detection specificity and facilitate the identification of ribose conjugates. Using the developed DSPE-SIL-LC-DNLS-MS strategy, we profiled the ribose conjugates in human urine, and 49 ribose conjugates were readily identified, among which 7 ribose conjugates exhibited significant contents change between healthy controls and lymphoma patients. The DSPE-SIL-LC-DNLS-MS strategy combines the selective enrichment, stable isotope labeling, and double neutral loss scan - MS analysis, which therefore can efficiently minimize false positive results, facilitate the relative quantification, and notably increase the numbers of identified ribose conjugates in biological fluids samples. Taken together, this study established a promising strategy for the effective profiling of urinary modified ribonucleosides, and simultaneous evaluation of the contents change of multiple modified ribonucleosides should provide more accurate and conclusive results for the use of urinary modified ribonucleosides as indicators of cancers.

Gibberellin regulates the Arabidopsis floral transition through miR156-targeted SQUAMOSA promoter binding-like transcription factors.

Gibberellin (GA), a diterpene hormone, plays diverse roles in plant growth and development, including seed germination, stem elongation, and flowering time. Although it is known that GA accelerates flowering through degradation of transcription repressors, DELLAs, the underlying mechanism is poorly understood. We show here that DELLA directly binds to microRNA156 (miR156)-targeted SQUAMOSA PROMOTER BINDING-LIKE (SPL) transcription factors, which promote flowering by activating miR172 and MADS box genes. The interaction between DELLA and SPL interferes with SPL transcriptional activity and consequently delays floral transition through inactivating miR172 in leaves and MADS box genes at shoot apex under long-day conditions or through repressing MADS box genes at the shoot apex under short-day conditions. Our results elucidate the molecular mechanism by which GA controls flowering and provide the missing link between DELLA and MADS box genes.

Isotope labelling--paired homologous double neutral loss scan-mass spectrometry for profiling of metabolites with a carboxyl group.

We developed a novel method for non-targeted screening of metabolites by high performance liquid chromatography-mass spectrometry with paired homologous double neutral loss scan mode after in vitro isotope labelling (IL-HPLC-PHDNL-MS). As a proof of concept, we investigated the carboxylic acid metabolite profiling in plant samples by the IL-HPLC-PHDNL-MS method. To this end, N,N-dimethylaminobutylamine (DMBA) and d(4)-N,N-dimethylaminobutylamine (d(4)-DMBA) were synthesized and utilized to label carboxylic acids. Our results show the MS response of carboxylic acids was enhanced by 20- to 40-fold after labelling. As for the IL-HPLC-PHDNL-MS analysis, DMBA and d(4)-DMBA labelled samples were mixed equally before MS analysis. Because the isotope labelled moieties (dimethylamino moiety, Me2N) of DMBA and d(4)-DMBA are easily ruptured and lost as neutral fragments (NL 45 and NL 49) under collision induced dissociation (CID), two neutral loss scans can be carried out simultaneously to record the signals of DMBA and d(4)-DMBA labelled samples, respectively. In this respect, the metabolites from two samples labelled with different isotope reagents are ionized at the same time but recorded separately by mass spectrometry, which can eliminate the MS response fluctuation and mutual interference. Using this method, six potential biomarkers involved in wounded tomato leaves were identified, and their structures were further elucidated by product ion scan and high resolution mass spectrometry analysis. Taken together, the IL-HPLC-PHDNL-MS method demonstrated good performance on the identification as well as relative quantification of metabolites with a carboxyl group in biological samples.

Association between dietary antioxidant quality score and periodontitis: A cross-sectional study.

Background/purpose: Evidence to date linking relation between dietary antioxidant quality score (DAQS) and periodontitis is limited. This study aimed to investigate the relationship between DAQS and periodontitis. Materials and methods: In total, 9457 participants from the National Health and Nutrition Examination Survey 2009-2014 were enrolled in this cross-sectional study. The outcome was defined as periodontitis. DAQS was calculated by comparing the daily dietary intake of six micronutrients (vitamin A, C, E, selenium, magnesium and zinc) to the recommended daily intake, which was divided into three groups: low quality (1-2 points), medium quality (3-4 points) and high quality (5-6 points). Weighted logistic regression models were carried out to examine the association of DAQS and periodontitis. Meanwhile, this study investigated the effects of DAQS and periodontitis by stratified specific analyses based on diabetes and dyslipidemia. Results: There were 4951 participants with periodontitis and 4506 non-periodontitis subjects. Compared with periodontitis group, mean DAQS score in participants with non-periodontitis was higher. After adjusting for all possible confounding factors, the results showed that high quality group of DAQS was related to the decreased risk of periodontitis [odds ratio (OR) = 0.80, 95% confidence interval (CI): 0.67-0.95, P = 0.012]. Subgroup analysis showed that the association between high quality group of DAQS and periodontitis was significant in participants without diabetes nor dyslipidemia (OR = 0.58, 95%CI: 0.39-0.87, P = 0.009). Conclusion: Based on data from nationally representative data from the US population, DAQS is found to be associated with periodontitis risk.

Correlation and Performance of three Ultrasound Techniques to Stage Hepatic Steatosis in Nonalcoholic Fatty Liver Disease.

AIMS: There is a need to assess the severity of steatosis caused by Nonalcoholic Fatty Liver Disease (NAFLD). We explored new techniques in which Ultrasound-Guided Attenuation Parameter (UGAP), Liver Steatosis Analysis (LiSA) and Hepatorenal Index (HRI) can be applied to the grading of steatosis. MATERIALS AND METHODS: We enrolled 120 patients with or without NAFLD in this study who underwent UGAP, LiSA, HRI and controlled attenuation parameter (CAP) measurements in our hospital from September 2022 to April 2023. Spearman correlation coefficient was used to calculate the correlation between UGAP, LiSA, HRI and CAP values, and the receiver operating characteristic (ROC) curve was used to evaluate the diagnostic accuracy of UGAP, LiSA, and HRI for different grades of steatosis. RESULTS: The cohort was classified into four groups based on means of CAP: S0 (no steatosis): 30/120, S1 (mild): 30/120, S2 (moderate): 15/120, and S3 (severe): 45/120. The cut-off values and areas under the receiver operating characteristic curve (AUC) of UGAP, LiSA and HRI for predicting different grades of steatosis were: S≥S1:227dB/m (AUC=0.904), 241dB/m (AUC=0.873), 1.19 (AUC=0.696); S≥S2:251dB/m (AUC=0.978), 264dB/m (AUC=0.913), 1.37 (AUC=0.770); S=S3:263dB/m (AUC=0.962), 289dB/m (AUC=0.923), 1.45 (AUC=0.809). The diagnostic efficacy of UGAP and LiSA was significantly better than HRI, and there were statistically significant differences (all p<0.05). A strong correlation was found between UGAP, LiSA and CAP values (UGAP: r=0.865; LiSA: r=0.810), moderate correlation between HRI and CAP values (r=0.476). CONCLUSION: Both UGAP and LiSA have a strong correlation with CAP and are more accurate than HRI in diagnosing different grades of hepatic steatosis, which can be widely used in the diagnosis of liver steatosis.

Multi-modal ultrasound multistage classification of PTC cervical lymph node metastasis via DualSwinThyroid.

Objective: This study aims to predict cervical lymph node metastasis in papillary thyroid carcinoma (PTC) patients with high accuracy. To achieve this, we introduce a novel deep learning model, DualSwinThyroid, leveraging multi-modal ultrasound imaging data for prediction. Materials and methods: We assembled a substantial dataset consisting of 3652 multi-modal ultrasound images from 299 PTC patients in this retrospective study. The newly developed DualSwinThyroid model integrates various ultrasound modalities and clinical data. Following its creation, we rigorously assessed the model's performance against a separate testing set, comparing it with established machine learning models and previous deep learning approaches. Results: Demonstrating remarkable precision, DualSwinThyroid achieved an AUC of 0.924 and an 96.3% accuracy on the test set. The model efficiently processed multi-modal data, pinpointing features indicative of lymph node metastasis in thyroid nodule ultrasound images. It offers a three-tier classification that aligns each level with a specific surgical strategy for PTC treatment. Conclusion: DualSwinThyroid, a deep learning model designed with multi-modal ultrasound radiomics, effectively estimates the degree of cervical lymph node metastasis in PTC patients. In addition, it also provides early, precise identification and facilitation of interventions for high-risk groups, thereby enhancing the strategic selection of surgical approaches in managing PTC patients.

Radiomics Combined with ACR TI-RADS for Thyroid Nodules: Diagnostic Performance, Unnecessary Biopsy Rate, and Nomogram Construction.

RATIONALE AND OBJECTIVES: To develop a radiomics model with enhanced diagnostic performance, reduced unnecessary fine needle aspiration biopsy (FNA) rate, and improved clinical net benefit for thyroid nodules. METHODS: We conducted a retrospective study of 217 thyroid nodules. Lesions were divided into training (n = 152) and verification (n = 65) cohorts. Three radiomics scores were derived from B-mode ultrasound (B-US) and strain elastography (SE) images, alone and in combination. A radiomics nomogram was constructed by combining high-frequency ultrasonic features and the best-performing radiomics score. The area under the receiver operating characteristic curve (AUC), unnecessary FNA rate, and decision curve analysis (DCA) results for the nomogram were compared to those obtained with the American College of Radiology Thyroid Imaging, Reporting and Data System (ACR TI-RADS) score and the combined TI-RADS+SE+ contrast-enhanced ultrasound (CEUS) advanced clinical score. RESULTS: The three radiomics scores (B-US, SE, B-US+SE) achieved training AUCs of 0.753 (0.668-0.825), 0.761 (0.674-0.838), and 0.795 (0.715-0.871), and validation AUCs of 0.732 (0.579-0.867), 0.753 (0.609-0.892), and 0.752 (0.592-0.899) respectively. The AUC of the nomogram for the entire patient cohort was 0.909 (0.864-0.954), which was higher than that of the ACR TI-RADS score (P < 0.001) and equivalent to the TI-RADS+SE+CEUS score (P = 0.753). Similarly, the unnecessary FNA rate of the radiomics nomogram was significantly lower than that of the ACR TI-RADS score (P = 0.007) and equivalent to the TI-RADS+SE+CEUS score (P = 0.457). DCA also showed that the radiomics nomogram brought more net clinical benefit than the ACR TI-RADS score but was similar to that of the TI-RADS+SE+CEUS score. CONCLUSION: The radiomics nomogram developed in this study can be used as an objective, accurate, cost-effective, and noninvasive method for the characterization of thyroid nodules.

Selective versus stepwise removal of deep carious lesions: A meta-analysis of randomized controlled trials.

Background/purpose: Stepwise removal (SWR) and selective removal (SCR) are proposed techniques to treat deep carious lesions, but it is currently uncertain which technique is better. This meta-analysis aimed to compare the therapeutic effects of SCR and SWR for deep carious lesions in both primary and permanent teeth. Materials and methods: PubMed, Embase, Cochrane Library, Web of Science, CNKI, WanFang, and VIP databases were searched until June 9, 2021. Success was the primary outcome. Secondary outcomes included pulp exposure, tooth extraction, pulp necrosis, pulpitis, and endodontic treatment. The effect size of each outcome was tested for heterogeneity. The source of heterogeneity was explored by meta regression analysis. Subgroup analysis and sensitivity analysis were conducted for the outcomes. Results: Nine studies of 1550 patients with 1929 deep carious teeth were included. SCR had a significantly higher success rate than SWR (pooled relative risk [RR] = 1.123, 95% confidence interval [CI] = 1.056-1.194, I2 = 52.3%, P < 0.001). The incidence of pulp exposure was significantly lower in the SCR group than that in the SWR group (pooled RR = 0.266, 95%CI = 0.096-0.740, I2 = 0.0%, P = 0.011). The incidence of pulp necrosis in the SCR group was approximately 14.2% of that in the SWR group (pooled RR = 0.142, 95%CI = 0.026-0.789, I2 = 0.0%, P = 0.026). Compared with SWR, SCR reduced the incidence of pulpitis by about 76.3% (pooled RR = 0.237, 95%CI = 0.090-0.623, I2 = 0.0%, P = 0.003). Conclusion: SCR may be a better treatment for deep caries to achieve better outcomes than SWR. Future research on comparing SCR and SWR for different outcomes in deep carious lesions is warranted to confirm our findings.

Tomato SlDREB gene restricts leaf expansion and internode elongation by downregulating key genes for gibberellin biosynthesis.

Plants have evolved and adapted to different environments. Dwarfism is an adaptive trait of plants that helps them avoid high-energy costs under unfavourable conditions. The role of gibberellin (GA) in plant development has been well established. Several plant dehydration-responsive element-binding proteins (DREBs) have been identified and reported to be induced under abiotic and biotic stress conditions. A tomato DREB gene named SlDREB, which is a transcription factor and was cloned from cultivated tomato M82, was found to play a negative role in tomato plant architecture and enhances drought tolerance. Tissue expression profiles indicated that SlDREB was expressed mainly in the stem and leaf and could be induced by abscisic acid (ABA) but suppressed by GA and ethylene. SlDREB altered plant morphology by restricting leaf expansion and internode elongation when overexpressed, and the resulting dwarfism of tomato plants could be recovered by application of exogenous gibberellic acid (GA(3)). Transcriptional analysis of transgenic plants revealed that overexpression of SlDREB caused the dwarf phenotype by downregulating key genes involved in GA biosynthesis such as ent-copalyl diphosphate synthase (SlCPS) and GA 20-oxidases (SlGA20ox1, -2, and -4), thereby decreasing endogenous GA levels in transgenic plants. A yeast activity assay demonstrated that SlDREB specifically bound to dehydration-responsive element/C-repeat (DRE/CRT) elements of the SlCPS promoter region. Taken together, these data demonstrated that SlDREB can downregulate the expression of key genes required for GA biosynthesis and that it acts as a positive regulator in drought stress responses by restricting leaf expansion and internode elongation.

[The prevalence and distribution of ideal cardiovascular health behavior in employees of Kailuan Group cohort].

OBJECTIVE: To observe the prevalence and distribution of ideal cardiovascular health behavior. METHODS: Health examination data between 2008 to 2009 from the employees of Kailuan Group were analyzed. RESULTS: A total of 101 333 subjects took part in the health examination, subjects with previous myocardial infarction (n = 871), stroke (n = 2255), myocardial infarction and stroke (n = 162) and subjects with incomplete examination data (n = 9311) were excluded and 88 534 subjects were included for final analysis [mean age (50.6 ± 12.3) years, male 69 916]. (1) Body mass index (BMI), systolic and diastolic pressure, cholesterol (TC) and triglyceride were significantly higher in males than in females (all P < 0.05), women's income and the education lever were significantly higher than men (P < 0.05). (2) The distribution of ideal cardiovascular health behavior (smoking, BMI, physical exercise, salt intake) was 55.8%, 41.4%, 18.9% and 14.0% respectively among the population; the ideal cardiovascular factors (fasting blood glucose, TC, blood pressure) was 80.9%, 61.8% and 18.5%, respectively. (3) The subjects with distribution of seven, six, five, four ideal cardiovascular health behavior and factors was 0.1%, 1.9%, 9.1%, 20.3%, respectively. (4) Multiple logistic regression analysis showed that female, age < 55 and high education level were associated with the ideal cardiovascular health status with a RR value (95%CI) of 4.52 (4.32 - 4.72), 1.46 (1.39 - 1.53) and 2.23 (2.10 - 2.37), respectively. CONCLUSION: The prevalence of ideal cardiovascular health is extremely low in the study population, most persons were not in the ideal cardiovascular health behavior and factors and female, age < 55 and high education level are linked with ideal cardiovascular health status.

A protocol for investigating lipidomic dysregulation and discovering lipid biomarkers from human serums.

Lipids play important roles in various human diseases. Disease-associated lipid dysregulation and biomarkers could provide molecular clues for diagnosis, pathogenesis, and therapy. This protocol provides a step-by-step workflow to investigate lipid dysregulation and discover biomarkers in human serum samples by liquid chromatography-mass spectrometry (LC-MS)-based lipidomics and machine learning analysis. The workflow includes project design, serum collection, sample preparation, data acquisition, data processing, and machine learning analysis. For complete details on the use and execution of this profile, please refer to Hao et al. (2021).