Non-B-form DNA tends to form in centromeric regions and has undergone changes in polyploid oat subgenomes.

Centromeres are the specialized regions of the chromosomes that direct faithful chromosome segregation during cell division. Despite their functional conservation, centromeres display features of rapidly evolving DNA and wide evolutionary diversity in size and organization. Previous work found that the noncanonical B-form DNA structures are abundant in the centromeres of several eukaryotic species with a possible implication for centromere specification. Thus far, systematic studies into the organization and function of non-B-form DNA in plants remain scarce. Here, we applied the oat system to investigate the role of non-B-form DNA in centromeres. We conducted chromatin immunoprecipitation sequencing using an antibody to the centromere-specific histone H3 variant (CENH3); this accurately positioned oat centromeres with different ploidy levels and identified a series of centromere-specific sequences including minisatellites and retrotransposons. To define genetic characteristics of oat centromeres, we surveyed the repeat sequences and found that dyad symmetries were abundant in oat centromeres and were predicted to form non-B-DNA structures in vivo. These structures including bent DNA, slipped DNA, Z-DNA, G-quadruplexes, and R-loops were prone to form within CENH3-binding regions. Dynamic conformational changes of predicted non-B-DNA occurred during the evolution from diploid to tetraploid to hexaploid oat. Furthermore, we applied the single-molecule technique of AFM and DNA:RNA immunoprecipitation with deep sequencing to validate R-loop enrichment in oat centromeres. Centromeric retrotransposons exhibited strong associations with R-loop formation. Taken together, our study elucidates the fundamental character of non-B-form DNA in the oat genome and reveals its potential role in centromeres.

Pan-centromere reveals widespread centromere repositioning of soybean genomes.

Centromere repositioning refers to a de novo centromere formation at another chromosomal position without sequence rearrangement. This phenomenon was frequently encountered in both mammalian and plant species and has been implicated in genome evolution and speciation. To understand the dynamic of centromeres on soybean genome, we performed the pan-centromere analysis using CENH3-ChIP-seq data from 27 soybean accessions, including 3 wild soybeans, 9 landraces, and 15 cultivars. Building upon the previous discovery of three centromere satellites in soybean, we have identified two additional centromere satellites that specifically associate with chromosome 1. These satellites reveal significant rearrangements in the centromere structures of chromosome 1 across different accessions, consequently impacting the localization of CENH3. By comparative analysis, we reported a high frequency of centromere repositioning on 14 out of 20 chromosomes. Most newly emerging centromeres formed in close proximity to the native centromeres and some newly emerging centromeres were apparently shared in distantly related accessions, suggesting their emergence is independent. Furthermore, we crossed two accessions with mismatched centromeres to investigate how centromere positions would be influenced in hybrid genetic backgrounds. We found that a significant proportion of centromeres in the S9 generation undergo changes in size and position compared to their parental counterparts. Centromeres preferred to locate at satellites to maintain a stable state, highlighting a significant role of centromere satellites in centromere organization. Taken together, these results revealed extensive centromere repositioning in soybean genome and highlighted how important centromere satellites are in constraining centromere positions and supporting centromere function.

The role of KLF2 in regulating hepatic lipogenesis and blood cholesterol homeostasis via the SCAP/SREBP pathway.

Liver steatosis is a common metabolic disorder resulting from imbalanced lipid metabolism, which involves various processes such as de novo lipogenesis, fatty acid uptake, fatty acid oxidation, and VLDL secretion. In this study, we discovered that KLF2, a transcription factor, plays a crucial role in regulating lipid metabolism in the liver. Overexpression of KLF2 in the liver of db/db mice, C57BL/6J mice, and Cd36-/- mice fed on a normal diet resulted in increased lipid content in the liver. Additionally, transgenic mice (ALB-Klf2) that overexpressed Klf2 in the liver developed liver steatosis after being fed a normal diet. We found that KLF2 promotes lipogenesis by increasing the expression of SCAP, a chaperone that facilitates the activation of SREBP, the master transcription factor for lipogenic gene expression. Our mechanism studies revealed that KLF2 enhances lipogenesis in the liver by binding to the promoter of SCAP and increasing the expression of genes involved in fatty acid synthesis. Reduction of KLF2 expression led to a decrease in SCAP expression and a reduction in the expression of SREBP1 target genes involved in lipogenesis. Overexpression of KLF2 also increased the activation of SREBP2 and the mRNA levels of its downstream target SOAT1. In C57BL/6J mice fed a high-fat diet, overexpression of Klf2 increased blood VLDL secretion, while reducing its expression decreased blood cholesterol levels. Our study emphasizes the novelty that hepatic KLF2 plays a critical role in regulating lipid metabolism through the KLF2/SCAP/SREBPs pathway, which is essential for hepatic lipogenesis and maintaining blood cholesterol homeostasis.

New insights on the evolution of nucleolar dominance in newly resynthesized hexaploid wheat Triticum zhukovskyi.

Nucleolar dominance (ND) is a widespread epigenetic phenomenon in hybridizations where nucleolus transcription fails at the nucleolus organizer region (NOR). However, the dynamics of NORs during the formation of Triticum zhukovskyi (GGAu Au Am Am ), another evolutionary branch of allohexaploid wheat, remains poorly understood. Here, we elucidated genetic and epigenetic changes occurring at the NOR loci within the Am , G, and D subgenomes during allopolyploidization by synthesizing hexaploid wheat GGAu Au Am Am and GGAu Au DD. In T. zhukovskyi, Au genome NORs from T. timopheevii (GGAu Au ) were lost, while the second incoming NORs from T. monococcum (Am Am ) were retained. Analysis of the synthesized T. zhukovskyi revealed that rRNA genes from the Am genome were silenced in F1 hybrids (GAu Am ) and remained inactive after genome doubling and subsequent self-pollinations. We observed increased DNA methylation accompanying the inactivation of NORs in the Am genome and found that silencing of NORs in the S1 generation could be reversed by a cytidine methylase inhibitor. Our findings provide insights into the ND process during the evolutionary period of T. zhukovskyi and highlight that inactive rDNA units may serve as a 'first reserve' in the form of R-loops, contributing to the successful evolution of T. zhukovskyi.

A non-invasive artificial intelligence model for identifying axillary pathological complete response to neoadjuvant chemotherapy in breast cancer: a secondary analysis to multicenter clinical trial.

BACKGROUND: This study aims to develop a stacking model for accurately predicting axillary lymph node (ALN) response to neoadjuvant chemotherapy (NAC) using longitudinal MRI in breast cancer. METHODS: We included patients with node-positive breast cancer who received NAC following surgery from January 2012 to June 2022. We collected MRIs before and after NAC, and extracted radiomics features from the tumour, peritumour, and ALN regions. The Mann-Whitney U test, least absolute shrinkage and selection operator, and Boruta algorithm were used to select features. We utilised machine learning techniques to develop three single-modality models and a stacking model for predicting ALN response to NAC. RESULTS: This study consisted of a training cohort (n = 277), three external validation cohorts (n = 313, 164, and 318), and a prospective cohort (n = 81). Among the 1153 patients, 60.62% achieved ypN0. The stacking model achieved excellent AUCs of 0.926, 0.874, and 0.862 in the training, external validation, and prospective cohort, respectively. It also showed lower false-negative rates (FNRs) compared to radiologists, with rates of 14.40%, 20.85%, and 18.18% (radiologists: 40.80%, 50.49%, and 63.64%) in three cohorts. Additionally, there was a significant difference in disease-free survival between high-risk and low-risk groups (p < 0.05). CONCLUSIONS: The stacking model can accurately predict ALN status after NAC in breast cancer, showing a lower false-negative rate than radiologists. TRIAL REGISTRATION NUMBER: The clinical trial numbers were NCT03154749 and NCT04858529.

Noninvasive Artificial Intelligence System for Early Predicting Residual Cancer Burden during Neoadjuvant Chemotherapy in Breast Cancer.

OBJECTIVE: To develop an artificial intelligence (AI) system for the early prediction of residual cancer burden (RCB) scores during neoadjuvant chemotherapy (NAC) in breast cancer. SUMMARY BACKGROUND DATA: RCB III indicates drug resistance in breast cancer, and early detection methods are lacking. METHODS: This study enrolled 1048 patients with breast cancer from four institutions, who were all receiving NAC. Magnetic resonance images were collected at the pre- and mid-NAC stages, and radiomics and deep learning features were extracted. A multitask AI system was developed to classify patients into three groups (RCB 0-I, II, and III ) in the primary cohort (PC, n=335). Feature selection was conducted using the Mann-Whitney U- test, Spearman analysis, least absolute shrinkage and selection operator regression, and the Boruta algorithm. Single-modality models were developed followed by model integration. The AI system was validated in three external validation cohorts. (EVCs, n=713). RESULTS: Among the patients, 442 (42.18%) were RCB 0-I, 462 (44.08%) were RCB II and 144 (13.74%) were RCB III. Model-I achieved an area under the curve (AUC) of 0.975 in the PC and 0.923 in the EVCs for differentiating RCB III from RCB 0-II. Model-II distinguished RCB 0-I from RCB II-III, with an AUC of 0.976 in the PC and 0.910 in the EVCs. Subgroup analysis confirmed that the AI system was consistent across different clinical T stages and molecular subtypes. CONCLUSIONS: The multitask AI system offers a noninvasive tool for the early prediction of RCB scores in breast cancer, supporting clinical decision-making during NAC.

Young retrotransposons and non-B DNA structures promote the establishment of dominant rye centromere in the 1RS.1BL fused centromere.

The fine centromere structure in Robertsonian wheat-rye translocation chromosomes exhibits variation among different translocation genotypes. Within extensively employed wheat-rye 1RS.1BL translocation lines in wheat breeding, their translocated chromosomes frequently display fused centromere. Nevertheless, the mechanism governing the functionality of the fused centromere in 1RS.1BL translocated chromosomes remains to be clarified. In this study, we investigated the fine centromere structure of the 1RS.1BL translocated chromosome through a combination of cytological and genomics methods. We found that only the rye-derived centromere exhibits functional activity, whether in breeding applications or artificially synthesized translocation chromosomes. The active rye-derived centromere had higher proportion of young full-length long terminal repeat retrotransposons (flLTR-RTs) and more stable non-B DNA structures, which may be beneficial toward transcription of centromeric repeats and CENH3 loading to maintain the activity of rye centromeres. High levels of DNA methylation and H3K9me2 were found in the inactive wheat-derived centromeres, suggesting that it may play a crucial role in maintaining the inactive status of the wheat centromere. Our works elucidate the fine structure of 1RS.1BL translocations and the potential mechanism of centromere inactivation in the fused centromere, contributing knowledge to the application of fused centromere in wheat breeding formation of new wheat-rye translocation lines.

Longitudinal ultrasound-based AI model predicts axillary lymph node response to neoadjuvant chemotherapy in breast cancer: a multicenter study.

OBJECTIVES: Developing a deep learning radiomics model from longitudinal breast ultrasound and sonographer's axillary ultrasound diagnosis for predicting axillary lymph node (ALN) response to neoadjuvant chemotherapy (NAC) in breast cancer. METHODS: Breast cancer patients undergoing NAC followed by surgery were recruited from three centers between November 2016 and December 2022. We collected ultrasound images for extracting tumor-derived radiomics and deep learning features, selecting quantitative features through various methods. Two machine learning models based on random forest were developed using pre-NAC and post-NAC features. A support vector machine integrated these data into a fusion model, evaluated via the area under the curve (AUC), decision curve analysis, and calibration curves. We compared the fusion model's performance against sonographer's diagnosis from pre-NAC and post-NAC axillary ultrasonography, referencing histological outcomes from sentinel lymph node biopsy or axillary lymph node dissection. RESULTS: In the validation cohort, the fusion model outperformed both pre-NAC (AUC: 0.899 vs. 0.786, p < 0.001) and post-NAC models (AUC: 0.899 vs. 0.853, p = 0.014), as well as the sonographer's diagnosis of ALN status on pre-NAC and post-NAC axillary ultrasonography (AUC: 0.899 vs. 0.719, p < 0.001). Decision curve analysis revealed patient benefits from the fusion model across threshold probabilities from 0.02 to 0.98. The model also enhanced sonographer's diagnostic ability, increasing accuracy from 71.9% to 79.2%. CONCLUSION: The deep learning radiomics model accurately predicted the ALN response to NAC in breast cancer. Furthermore, the model will assist sonographers to improve their diagnostic ability on ALN status before surgery. CLINICAL RELEVANCE STATEMENT: Our AI model based on pre- and post-neoadjuvant chemotherapy ultrasound can accurately predict axillary lymph node metastasis and assist sonographer's axillary diagnosis. KEY POINTS: Axillary lymph node metastasis status affects the choice of surgical treatment, and currently relies on subjective ultrasound. Our AI model outperformed sonographer's visual diagnosis on axillary ultrasound. Our deep learning radiomics model can improve sonographers' diagnosis and might assist in surgical decision-making.

Identification of the C1qDC gene family in grass carp (Ctenopharyngodon idellus) and the response of C1qA, C1qB, and C1qC to GCRV infection in vivo and in vitro.

Proteins from the C1q domain-containing (C1qDC) family recognize self-, non-self-, and altered-self ligands and serves as an initiator molecule for the classical complement pathway as well as recognizing immune complexes. In this study, C1qDC gene family members were identified and analyzed in grass carp (Ctenopharyngodon idellus). Members of the C1q subfamily were cloned, and their response to infection with the grass carp virus was investigated. In the grass carp genome, 54 C1qDC genes and 67 isoforms have been identified. Most were located on chromosome 3, with 52 shared zebrafish homologies. Seven substantially differentially expressed C1qDC family genes were identified in the transcriptomes of cytokine-induced killer (CIK) cells infected with grass carp reovirus (GCRV), all of which exhibited sustained upregulation. The opening reading frames of grass carp C1qA, C1qB, and C1qC, belonging to the C1q subfamily, were determined to be 738, 732, and 735 base pairs, encoding 245, 243, and 244 amino acids with molecular weights of 25.81 kDa, 25.63 kDa and 26.16 kDa, respectively. Three genes were detected in the nine collected tissues, and their expression patterns were similar, with the highest expression levels observed in the spleen. In vivo after GCRV infection showed expression trends of C1qA, C1qB, and C1qC in the liver, spleen, and kidney. An N-type pattern in the liver and kidney was characterized by an initial increase followed by a decrease, with the highest expression occurring during the recovering period, and a V-type pattern in the spleen with the lowest expression levels during the death period. In vitro, after GCRV infection showed expression trends of C1qA, C1qB, and C1qC, and this gradually increased within the first 24 h, with a notable increase observed at the 24 h time point. After CIK cells incubation with purified recombinant proteins, rC1qA, rC1qB, and rC1qC for 3 h, followed by GCRV inoculation, the GCRV replication indicated that rC1qC exerted a substantial inhibitory effect on viral replication in CIK cells after 24 h of GCRV inoculation. These findings offer valuable insights into the structure, evolution, and function of the C1qDC family genes and provide a foundational understanding of the immune function of C1q in grass carp.

Cytological analysis of the diploid-like inheritance of newly synthesized allotetraploid wheat.

Polyploidization is a process which is related to species hybridization and whole genome duplication. It is widespread among angiosperm evolution and is essential for speciation and diversification. Allopolyploidization is mainly derived from interspecific hybridization and is believed to pose chromosome imbalances and genome instability caused by meiotic irregularity. However, the self-compatible allopolyploid in wild nature is cytogenetically and genetically stable. Whether this stabilization form was achieved in initial generation or a consequence of long term of evolution was largely unknown. Here, we synthesized a series of nascent allotetraploid wheat derived from three diploid genomes of A, S*, and D. The chromosome numbers of the majority of the progeny derived from these newly formed allotetraploid wheat plants were found to be relatively consistent, with each genome containing 14 chromosomes. In meiosis, bivalent was the majority of the chromosome configuration in metaphase I which supports the stable chromosome number inheritance in the nascent allotetraploid. These findings suggest that diploidization occurred in the newly formed synthetic allotetraploid wheat. However, we still detected aneuploids in a proportion of newly formed allotetraploid wheat, and meiosis of these materials present more irregular chromosome behavior than the euploid. We found that centromere pairing and centromere clustering in meiosis was affected in the aneuploids, which suggest that aneuploidy may trigger the irregular interactions of centromere in early meiosis which may take participate in promoting meiosis stabilization in newly formed allotetraploid wheat.

The impact of vedolizumab therapy on extraintestinal manifestations in patients with inflammatory bowel disease: A systematic review and meta-analysis.

BACKGROUND AND AIM: Extraintestinal manifestations (EIMs) pose a significant threat in inflammatory bowel disease (IBD) patients. Vedolizumab (VDZ) primarily affects the gastrointestinal tract. However, its impact on EIMs remains uncertain. Therefore, we conducted this meta-analysis to examine the effects of VDZ on EIMs during treatment. METHODS: Relevant studies were identified by conducting thorough searches across electronic databases, including PubMed, Ovid Embase, Medline, and Cochrane CENTRAL. Primary outcomes focused on the proportion of patients with resolution for pre-existing EIMs in IBD patients receiving VDZ. Secondary outcomes included the proportion of patients with EIM exacerbations and new onset EIMs during VDZ treatment. RESULTS: Our meta-analysis encompassed 21 studies. The proportion of patients with resolution of pre-existing EIMs in VDZ-treated IBD patients was 39% (150/386; 95% confidence interval [CI] 0.31-0.48). The proportion of patients with EIM exacerbations occurred at a rate of 28% (113/376; 95% CI 0.05-0.50), while new onset EIMs had a rate of 15% (397/2541; 95% CI 0.10-0.20). Subgroup analysis revealed a 40% (136/337) proportion of patients with resolution for articular-related EIMs and a 50% (9/18) rate for erythema nodosum. Exacerbation rates for arthritis/arthralgia, erythema nodosum/pyoderma gangrenosum, and aphthous stomatitis during VDZ use were 28% (102/328), 18% (7/38), and 11% (3/28), respectively. The incidence rate of newly developed EIMs during treatment was 11% (564/4839) for articular-related EIMs, with other EIMs below 2%. CONCLUSION: VDZ demonstrates efficacy in skin-related EIMs like erythema nodosum and joint-related EIMs including arthritis, arthralgia, spondyloarthritis, and peripheral joint diseases. Some joint and skin-related EIMs may experience exacerbation during VDZ therapy.

Traditional Chinese medicines treat ischemic stroke and their main bioactive constituents and mechanisms.

Ischemic stroke (IS) remains one of the leading causes of death and disability in humans. Unfortunately, none of the treatments effectively provide functional benefits to patients with IS, although many do so by targeting different aspects of the ischemic cascade response. The advantages of traditional Chinese medicine (TCM) in preventing and treating IS are obvious in terms of early treatment and global coordination. The efficacy of TCM and its bioactive constituents has been scientifically proven over the past decades. Based on clinical trials, this article provides a review of commonly used TCM patent medicines and herbal decoctions indicated for IS. In addition, this paper also reviews the mechanisms of bioactive constituents in TCM for the treatment of IS in recent years, both domestically and internationally. A comprehensive review of preclinical and clinical studies will hopefully provide new ideas to address the threat of IS.

Infliximab-induced psoriasis in an ulcerative colitis patient successfully treated with guselkumab.

Ulcerative colitis (UC) is a chronic inflammatory disorder of the gastrointestinal tract. Tumor necrosis factor (TNF) inhibitors such as infliximab (IFX) are used to treat UC. But TNF inhibitors can induce psoriasis, which was characterized by IL-17/IL-22 expressing Th17 cells and IFN-γ expressing Th1 cells, with increased expression of Th17 cells correlated with more severe skin lesions and a need for Ustekinumab (UST) therapy1. UST is a monoclonal antibody that binds to the p40 subunit of the interleukin (IL)-12 and IL-23. It has shown remarkable efficacy in psoriasis and UC2. Guselkumab, a subcutaneously administered fully human IgG1 monoclonal antibody that selectively inhibits the p19 subunit of IL-23, is approved for the treatment of patients with moderate-to-severe plaque psoriasis3. It was shown to be efficacious in patients with prior failure of other biologics such as UST and was also observed in the treatment of psoriasis localized in difficult-to-treat body regions including the scalp, palms, soles, and fingernails. We report a case of successful use of guselkumab to treat a UC patient with IFX-induced psoriasis that was refractory to UST therapy.

Development and validation of a nomogram to predict non-response to 5-aminosalicylic acid in patients with ulcerative colitis.

BACKGROUND: there are some patients with ulcerative colitis (UC) who have non-response (NR) to 5-aminosalicylic acid (5-ASA). To promote individualized treatment in UC patients, it is crucial to identify valid predictors to estimate NR to 5-ASA. Therefore, this study aimed to identify the predictive value of clinical and biochemical markers and to construct a nomogram model predicting NR to 5-ASA in patients with UC. METHODS: data of patients diagnosed with UC in the First Hospital of China Medical University between January 2012 and December 2020 were retrospectively analyzed. Primary outcome was the proportion of NR to 5-ASA. Multivariable logistic regression was used to construct prediction models. Area under the curve (AUC), calibration and decision curve analyses (DCA) were assessed in the validation cohort. RESULTS: of 284 UC patients who were treatment-naive, 86 (30.3 %) had NR to 5-ASA. Univariate regression analysis showed that disease classification (DC) (p = 0.008), monocytes (MONO) (p = 0.041), platelet distribution width (PDW) (p = 0.027), serum total cholesterol (TC) (p = 0.031) and α1 globulin (p < 0.001) were strongly associated with NR to 5-ASA. Receiver operating characteristics (ROC) analysis indicated the AUC was 0.852, it showed that this model has a good degree of discrimination. The DCA curve showed that the predicted probability is 0.0-96.0 %. CONCLUSION: this study developed a predictive model with good discrimination and calibration, and high clinical validity, which can effectively estimate the risk of NR to 5-ASA. DC, MONO, PDW, TC and α1 globulin can be used as predictors for NR to 5-ASA in UC patients.

[Clinical metabolomics of Zicuiyin in treatment of diabetic kidney disease].

This study aimed to analyze the therapeutic effect of Zicuiyin on diabetic kidney disease(DKD) and explore the possible targets of this formula. Eighteen DKD patients treated in the endocrine department or nephrology department of Second Affilia-ted Hospital of Tianjin University of Traditional Chinese Medicine from January to December in 2019 were enrolled and assigned into a test group(n=10) and a control group(n=8). Both groups received routine chemical medicine treatment. In addition, the test group was treated with Zicuiyin and the control group with Huangkui Capsules for 8 weeks. The clinical trial was approved by the Ethics Committee of Second Affiliated Hospital of Tianjin University of Traditional Chinese Medicine, with the ethical approval No. 2017-023-01, and all the patients signed the informed consent form. The results showed that the 8-week treatment with Zicuiyin lowered the level of glycosylated hemoglobin(HbA1c) and recovered the 24 h urinary protein(24hUP), 24 h urinary microalbumin(24hmAlb), urine albumin-to-creatinine ratio(UACR), and estimated glomerular filtration rate(eGFR) of the patients with 24hUP<3.5 g. According to the different levels in 24hUP, all the patients were divided into two subgroups(subgroup A with 24hUP<3.5 g and subgroup B with 24hUP≥3.5 g). The ultra-high performance liquid chromatography-quadrupole-time-of-flight tandem mass spectrometry(UPLC-Q-TOF-MS/MS)-based non-targeted metabolomics analysis was conducted on the baseline serum samples from diffe-rent subgroups of patients. Nineteen biomarker candidates were identified to distinguish the metabolic differences between the two subgroups, and their correlations with clinical indicators were analyzed. Zicuiyin lowered the levels of phenylalanine, pseudouridine, and adenosine [fold change(FC)<0.5, P<0.05] in subgroup A. The results indicated that Zicuiyin was more effective on the DKD patients with low urinary protein levels, and its targets were involved in phenylalanine metabolism and nucleoside metabolism.

[Research progress of traditional Chinese medicines as quorum sensing inhibitors in collaboration with antibiotics to inhibit drug-resistant bacteria].

Quorum sensing system regulates the expression of genes related to bacterial growth, metabolism and other behaviors by sensing bacterial density, and controls the unified action of the entire bacterial population. This mechanism can ensure the normal secretion of bacterial metabolites and the stability of the biofilm microenvironment, providing protection for the formation of biofilms and the normal growth and reproduction of bacteria. Traditional Chinese medicine, capable of quorum sensing inhibition, can inhibit the formation of bacterial biofilms, reduce bacterial resistance, and enhance the anti-infection ability of antibiotics when combined with antibiotics. In recent years, the combination of traditional Chinese and Western medicine in the treatment of drug-resistant bacterial infections has become a research hotspot. Starting with the associations between quorum sensing, biofilm and drug-resistant bacteria, this paper reviews the relevant studies about the combined application of traditional Chinese medicines as quorum sensing inhibitors with antibiotics in the treatment of drug-resistant bacteria. This review is expected to provide ideas for the development of new clinical treatment methods and novel anti-infection drugs.

KLF2 Mediates the Suppressive Effect of Laminar Flow on Vascular Calcification by Inhibiting Endothelial BMP/SMAD1/5 Signaling.

[Figure: see text].

High thermoelectric performance of two-dimensional layered AB2Te4 (A = Sn, Pb; B = Sb, Bi) ternary compounds.

The thermoelectric properties of two-dimensional layered ternary compounds AB2Te4, in which A (Sn, Pb) and B(Sb, Bi) are group-IV and group-V cations, respectively, were investigated by using first-principles based transport theory. These septuple-atom-layer monolayers have wider band gaps with respect to their bulks, which extend their operating temperature and inhibit the bipolar carrier conduction and thermal conductivity, and more importantly, their energy bands exhibit multiple valence band convergence to a narrow energy range near the Brillouin zone center, which induces an optimal p-type power factor up to 10.94-32.11 W m-1 K-2 at room temperature. Moreover, these monolayers contain heavy atomic masses and high polarizability of some chemical bonds, leading to small group velocities of phonons and anharmonic phonon behavior that produce an intrinsic lattice thermal conductivity as low as 0.79-3.13 W m-1 K-1 at room temperature. Thus, these monolayers act as p-type thermoelectric materials with thermoelectric figure of merit of up to 2.6-5.5 for SnSb2Te4, 0.7-2.2 for PbSb2Te4, and 1.6-4.2 for PbBi2Te4 in the temperature range of 300 to 750 K, and 4.5-5.9 for SnBi2Te4 in the temperature range of 300 to 450 K.

Thermoelectric response of single quintuple layer sodium copper chalcogenides persisting at high temperature.

The thermoelectric transport properties of two-dimensional (2D) layered NaCuX (X = S, Se) are investigated by employing first-principles based Boltzmann transport theory. Single quintuple NaCuX layers have a relatively large Seebeck coefficient (S), electrical conductivity (σ) and hence power factor (PF = S2σ) for a p-type heavy doped region due to the valence band degeneracy. The largely reduced σ by dominant polar scattering leads to a PF up to 0.27 and 0.84 mW m-1 K-2 at 1200 K for p-type NaCuS and NaCuSe monolayers, respectively. The high polarizability of the Cu-X bonds in the CuX4 tetrahedra leads to anharmonic phonon behavior which produces an intrinsic lattice thermal conductivity (κl) as low as 1.03 and 0.75 W m-1 K-1 at 300 K for NaCuS and NaCuSe, respectively. The predicted figure of merit (zT) increases monotonically from around 0.25 at 300 K to 2.01 at 1200 K at an optimal carrier density of around 1 × 1013 cm-2 for p-type NaCuSe and from around 0.09 at 300 K to 1.15 at 1200 K at an optimal carrier density of around 1 × 1014 cm-2 for p-type NaCuS. These findings indicate that the NaCuS, especially NaCuSe, monolayers are promising 2D thermoelectric materials persisting at high temperature.

The regulatory function of the d-orbital structure in TM@g-t-C4N3 for bifunctional catalysis of the oxygen evolution/reduction reaction.

Highly efficient catalysts for the oxygen evolution/reduction reaction (OER/ORR) have attracted great attention in research for energy devices with high conversion efficiency. Herein, systematic first-principles investigations are performed to explore the catalytic performance of graphitic C4N3 loaded with single transition metal atoms (TM@g-t-C4N3) for the OER/ORR. The results show that Fe, Co, Ni and Rh@g-t-C4N3 exhibit fascinating bifunctional catalytic activities for both the OER and ORR. Moreover, it is observed that better activities are easily achieved when the valence d orbitals of doped TM atoms are nearly fully occupied. Further analysis reveals the volcano relationship between the OER/ORR performance and the adsorption Gibbs free energy. The adsorption free energy of intermediates in the OER/ORR process is also found to highly correlate with the electronic structures of TM@g-t-C4N3, which are mainly characterized by two quantities, one is the descriptor φ related to the electronegativity and the number of valence electrons in d orbitals, and the other is the projected d band center. The results indicate that it is possible to predict the catalytic performance of TM@g-t-C4N3 by a detailed examination of the electronic properties of the doped TM atoms to some extent. This research not only provides several highly active g-t-C4N3-based single-atom catalysts (SACs) for the OER/ORR, but also reveals some potential regularities of SAC systems.