Establishment and characterization of Lesch-Nyhan syndrome rabbit model.

Lesch-Nyhan syndrome (LNS) is a congenital defect disease that results in defective purine metabolism. It is caused by pathogenic variants of the HPRT gene. Its clinical symptoms mainly include high uric acid levels, gout, and kidney stones and damage. The mechanism of LNS has not been fully elucidated, and no cure exists. Animal models have always played an important role in exploring causative mechanisms and new therapies. This study combined CRISPR/Cas9 and microinjection to knock out the HPRT gene to create an LNS rabbit model. A sgRNA targeting exon 3 of HPRT gene was designed. Subsequently, Cas9 mRNA and sgRNA were injected into rabbit zygotes, and injected embryos were transferred to the uterus. The genotype and phenotype of rabbits were analyzed after birth. Four infant rabbits (named R1, R2, R3 and R4), which showed varying levels of gene modification, were born. The gene-editing efficiency was 100%. No wild-type sequences at the target HPRT gene were detected in R4 rabbit. Next, 6-thioguanine drug testing confirmed that HPRT enzymatic activity was deficient in R4 infant rabbit. HE staining revealed kidney abnormalities in all infant rabbits. Overall, an sgRNA capable of knocking out the HPRT gene in rabbits was successfully designed, and HPRT gene-modified rabbits were successfully constructed by using CRISPR/Cas9 technology and microinjection. This study provides a new nonrodent animal model for studying LNS syndrome.

Targeting autophagy in diabetic cardiomyopathy: From molecular mechanisms to pharmacotherapy.

Diabetic cardiomyopathy (DCM) is a cardiac microvascular complication caused by metabolic disorders. It is characterized by myocardial remodeling and dysfunction. The pathogenesis of DCM is associated with abnormal cellular metabolism and organelle accumulation. Autophagy is thought to play a key role in the diabetic heart, and a growing body of research suggests that modulating autophagy may be a potential therapeutic strategy for DCM. Here, we have summarized the major signaling pathways involved in the regulation of autophagy in DCM, including Adenosine 5'-monophosphate-activated protein kinase (AMPK), mechanistic target of rapamycin (mTOR), Forkhead box subfamily O proteins (FOXOs), Sirtuins (SIRTs), and PTEN-inducible kinase 1 (PINK1)/Parkin. Given the significant role of autophagy in DCM, we further identified natural products and chemical drugs as regulators of autophagy in the treatment of DCM. This review may help to better understand the autophagy mechanism of drugs for DCM and promote their clinical application.

Ultrafast energy transfer dynamics in CsPbBr3 nanoplatelets-BODIPY heterostructure.

Understanding and directing the energy transfer in nanocrystals-chromophore heterostructure is critical to improve the efficiency of their photocatalytic and optoelectronic applications. In this work, we studied the energy transfer process between inorganic-organic molecular complexes composed of cesium halide perovskite nanoplatelets (CsPbBr3 NPLs) and boron dipyrromethene (BODIPY) by photoluminescence spectroscopy (PL), time-correlated single photon-counting (TCSPC) and femtosecond transient absorption spectroscopy. The quenching of PL in CsPbBr3 NPLs occurred simultaneously with the PL enhancement of BODIPY implied the singlet energy transfer process. The rate of energy transfer has been determined by transient absorption spectrum as kET = 3.8 × 109 s-1. The efficiency of Förster energy transfer (FRET) has been quantitatively calculated up to 70%. Our work advances the understanding of the interaction between BODIPY and perovskite nanoplatelets, providing a new solution based on their optoelectronic and photocatalytic applications.

Land Resources for Wind Energy Development Requires Regionalized Characterizations.

Estimates of the land area occupied by wind energy differ by orders of magnitude due to data scarcity and inconsistent methodology. We developed a method that combines machine learning-based imagery analysis and geographic information systems and examined the land area of 318 wind farms (15,871 turbines) in the U.S. portion of the Western Interconnection. We found that prior land use and human modification in the project area are critical for land-use efficiency and land transformation of wind projects. Projects developed in areas with little human modification have a land-use efficiency of 63.8 ± 8.9 W/m2 (mean ±95% confidence interval) and a land transformation of 0.24 ± 0.07 m2/MWh, while values for projects in areas with high human modification are 447 ± 49.4 W/m2 and 0.05 ± 0.01 m2/MWh, respectively. We show that land resources for wind can be quantified consistently with our replicable method, a method that obviates >99% of the workload using machine learning. To quantify the peripheral impact of a turbine, buffered geometry can be used as a proxy for measuring land resources and metrics when a large enough impact radius is assumed (e.g., >4 times the rotor diameter). Our analysis provides a necessary first step toward regionalized impact assessment and improved comparisons of energy alternatives.

Maximum stress hyperglycemia ratio within the first 24 h of admission predicts mortality during and after the acute phase of acute coronary syndrome in patients with and without diabetes: A retrospective cohort study from the MIMIC-IV database.

AIMS: The stress hyperglycemia ratio (SHR) is significantly associated with short-term adverse cardiovascular events. However, the association between SHR and mortality after the acute phase of acute coronary syndrome (ACS) remains controversial. METHODS: This study used data from the Medical Information Mart for Intensive Care-IV database. Patients with ACS hospitalized in the intensive care unit (ICU) were retrospectively enrolled. RESULTS: A total of 2668 ACS patients were enrolled. The incidence of in-hospital and 1-year mortality was 4.7 % and 13.2 %, respectively. The maximum SHR had a higher prognostic value for predicting both in-hospital and 1-year mortality than the first SHR. Adding the maximum SHR to the SOFA score could significantly improve the prognostic prediction. In the landmark analysis at 30 days, the maximum SHR was a risk factor for mortality within 30 days regardless of whether patients had diabetes. However, it was no longer associated with mortality after 30 days in patients with diabetes after adjustment (HR = 1.237 per 1-point increment, 95 % CI 0.854-1.790). CONCLUSIONS: The maximum SHR was significantly associated with mortality in patients with ACS hospitalized in the ICU. However, caution is warranted if it is used for predicting mortality after 30 days in patients with diabetes.

Associations of variability in blood glucose and systolic blood pressure with mortality in patients with coronary artery disease: A retrospective cohort study from the MIMIC-IV database.

AIMS: Variability of metabolic parameters, such as glycemic variability (GV) and systolic blood pressure variability (SBPV), are associated with adverse cardiovascular outcomes. However, whether these parameters have additive effects on mortality in patients with coronary artery disease (CAD) hospitalized in the intensive care unit (ICU) remains unclear. METHODS: We retrospectively enrolled patients with CAD from the Medical Information Mart for Intensive Care-IV database. The highest tertile of variability was defined as high variability. A variability scoring system was established, which assigned 0 points to tertile 1, 1 point to tertile 2, and 2 points to tertile 3 for GV and SBPV. RESULTS: Among 4237 patients with CAD, 400 patients died in hospital, and 967 patients died during 1-year follow-up. High GV and high SBPV were associated with an increased risk of mortality. The effects of GV and SBPV on in-hospital mortality were partially mediated by ventricular arrhythmias (18.0 % and 6.6 %, respectively). The risk of mortality gradually increased with the number of high-variability parameters and increasing variability scores. CONCLUSIONS: GV and SBPV have additive effects on the risk of mortality in patients with CAD hospitalized in the ICU. Ventricular arrhythmias partially mediate the effects of GV and SBPV on in-hospital mortality.

Non-insulin-based insulin resistance indexes in predicting atrial fibrillation recurrence following ablation: a retrospective study.

BACKGROUND: Insulin resistance (IR) is involved in the pathophysiological processes of arrhythmias. Increasing evidence suggests triglyceride and glucose (TyG) index, metabolic score for insulin resistance (METS-IR), triglyceride glucose-body mass index (TyG-BMI), and triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio are simple and reliable surrogates for IR. Although they have been associated with atrial fibrillation (AF), evidence supporting this is limited. Here, this is the first study to investigate the association between TyG-BMI index and AF recurrence following radiofrequency catheter ablation (RFCA). The performance of the four non-insulin-based IR indexes in predicting AF recurrence after ablation was explored. METHODS: A total of 2242 AF patients who underwent a de novo RFCA between June 2018 to January 2022 at two hospitals in China were included in this retrospective study. The predictive values of IR indexes for AF recurrence after ablation were assessed. RESULTS: During 1-year follow-up, 31.7% of patients experienced AF recurrence. The multivariable analysis revealed that TyG index, METS-IR, and TyG-BMI index were independent risk factors for AF recurrence. Restricted cubic spline analysis revealed a connection between METS-IR, TyG-BMI index, and AF recurrence (P < 0.001). Furthermore, incorporating the METS-IR or TyG-BMI index to the basic risk model with fully adjusted factors considerably enhanced the forecast of AF recurrence, as demonstrated by the C-statistic, continuous net reclassification improvement, and integrated discrimination improvement. CONCLUSIONS: TyG index, METS-IR, and TyG-BMI index were independently associated with AF recurrence following ablation. Among the four non-insulin-based IR indexes, TyG-BMI had the highest predictive value, followed by METS-IR.

Simultaneous assessment of stress hyperglycemia ratio and glycemic variability to predict mortality in patients with coronary artery disease: a retrospective cohort study from the MIMIC-IV database.

BACKGROUND: Stress hyperglycemia and glycemic variability (GV) can reflect dramatic increases and acute fluctuations in blood glucose, which are associated with adverse cardiovascular events. This study aimed to explore whether the combined assessment of the stress hyperglycemia ratio (SHR) and GV provides additional information for prognostic prediction in patients with coronary artery disease (CAD) hospitalized in the intensive care unit (ICU). METHODS: Patients diagnosed with CAD from the Medical Information Mart for Intensive Care-IV database (version 2.2) between 2008 and 2019 were retrospectively included in the analysis. The primary endpoint was 1-year mortality, and the secondary endpoint was in-hospital mortality. Levels of SHR and GV were stratified into tertiles, with the highest tertile classified as high and the lower two tertiles classified as low. The associations of SHR, GV, and their combination with mortality were determined by logistic and Cox regression analyses. RESULTS: A total of 2789 patients were included, with a mean age of 69.6 years, and 30.1% were female. Overall, 138 (4.9%) patients died in the hospital, and 404 (14.5%) patients died at 1 year. The combination of SHR and GV was superior to SHR (in-hospital mortality: 0.710 vs. 0.689, p = 0.012; 1-year mortality: 0.644 vs. 0.615, p = 0.007) and GV (in-hospital mortality: 0.710 vs. 0.632, p = 0.004; 1-year mortality: 0.644 vs. 0.603, p < 0.001) alone for predicting mortality in the receiver operating characteristic analysis. In addition, nondiabetic patients with high SHR levels and high GV were associated with the greatest risk of both in-hospital mortality (odds ratio [OR] = 10.831, 95% confidence interval [CI] 4.494-26.105) and 1-year mortality (hazard ratio [HR] = 5.830, 95% CI 3.175-10.702). However, in the diabetic population, the highest risk of in-hospital mortality (OR = 4.221, 95% CI 1.542-11.558) and 1-year mortality (HR = 2.013, 95% CI 1.224-3.311) was observed in patients with high SHR levels but low GV. CONCLUSIONS: The simultaneous evaluation of SHR and GV provides more information for risk stratification and prognostic prediction than SHR and GV alone, contributing to developing individualized strategies for glucose management in patients with CAD admitted to the ICU.

The Prognostic Value of the Age-D-Dimer-Albumin Score in Patients with Acute Myocardial Infarction Undergoing Percutaneous Coronary Intervention.

BACKGROUND: The Age-D-dimer-Albumin (ADA), the CREDO-Kyoto, and the PARIS scores have been established to predict thrombotic events. However, the prognostic performance of these scores compared to the GRACE score in patients with acute myocardial infarction (AMI) undergoing percutaneous coronary intervention (PCI) has not been reported. METHODS: Consecutive AMI patients treated with PCI were retrospectively enrolled at a teaching hospital in China from January 2016 to December 2019. The primary endpoint was all-cause mortality and the secondary endpoint was cardiac death. Harrell's C-index and net reclassification improvement (NRI) were used to compare the prognostic value of these scores with the GRACE score for mortality. RESULTS: Of the 1,578 patients enrolled, the mean age was 62.5 years, and 23.5% were female. During a median follow-up of 3.8 years, 146 all-cause deaths and 80 cardiac deaths occurred. The ADA score showed a better prognostic performance than the GRACE (Harrell's C-index: 0.800 vs. 0.749; p = 0.003), the CREDO-Kyoto (Harrell's C-index: 0.800 vs. 0.765; NRI = 0.348, p < 0.001), and the PARIS scores (Harrell's C-index: 0.800 vs. 0.694; NRI = 0.556, p < 0.001). In the multivariable Cox regression analysis, the ADA score was independently associated with all-cause mortality (hazard ratio [HR] = 1.641 per 10-point increment, 95% confidence interval [CI]: 1.397-1.929) and cardiac death (HR = 1.636 per 10-point increment, 95% CI: 1.325-2.020). The risk of all-cause mortality and cardiac death increased with the rising of the ADA score. CONCLUSION: The ADA score showed a better prognostic performance than the GRACE, the CREDO-Kyoto, and the PARIS scores in patients with AMI undergoing PCI, which was a potential predictive tool for mortality.

A Comparison of the Prognostic Value of Liver Fibrosis Scores in Acute Myocardial Infarction Patients With and Without Type 2 Diabetes.

Liver fibrosis scores have been demonstrated to be associated with poor prognosis after percutaneous coronary intervention (PCI). However, no studies have compared the prognostic value of these scores in acute myocardial infarction (AMI) patients with and without diabetes. We retrospectively enrolled 1576 AMI patients who underwent PCI. There were 177 all-cause deaths and 111 cardiac deaths during follow-up (median 3.8 years). The non-alcoholic fatty liver disease fibrosis score (NFS) showed a better prognostic value than the fibrosis-8 (FIB-8) score (Harrell's C-index: 0.703 vs 0.671, P = .014) and the fibrosis-4 (FIB-4) score (Harrell's C-index: 0.703 vs 0.648, P < .001) in the overall population. In the time-dependent receiver operating characteristic analysis, the NFS also had the highest area under the curve across all time points. Consistent results were observed in diabetic and non-diabetic populations. Adding the NFS to traditional cardiovascular risk factors significantly improved the prediction both for all-cause mortality (Harrell's C-index: 0.806 vs 0.771, P < .001) and cardiac death (Harrell's C-index: 0.800 vs 0.771, P = .014). The NFS showed a better prognostic value than the FIB-8 score and the FIB-4 score in patients with AMI undergoing PCI, which might be preferable for estimating the risk of mortality regardless of the presence or absence of diabetes.

Lagrange tracking-based long-term drift trajectory prediction method for Autonomous Underwater Vehicle.

Autonomous Underwater Vehicle (AUV) works autonomously in complex marine environments. After a severe accident, an AUV will lose its power and rely on its small buoyancy to ascend at a slow speed. If the reserved buoyancy is insufficient, when reaching the thermocline, the buoyancy will rapidly decrease to zero. Consequently, the AUV will experience prolonged lateral drift within the thermocline. This study focuses on developing a prediction method for the drift trajectory of an AUV after a long-term power loss accident. The aim is to forecast the potential resurfacing location, providing technical support for surface search and salvage operations of the disabled AUV. To the best of our knowledge, currently, there is no mature and effective method for predicting long-term AUV underwater drift trajectories. In response to this issue, based on real AUV catastrophes, this paper studies the prediction of long-term AUV underwater drift trajectories in the cases of power loss. We propose a three-dimensional trajectory prediction method based on the Lagrange tracking approach. This method takes the AUV's longitudinal velocity, the time taken to reach different depths, and ocean current data at various depths into account. The reason for the AUV's failure to ascend to sea surface lies that the remaining buoyancy is too small to overcome the thermocline. As a result, AUV drifts long time within the thermocline. To address this issue, a method for estimating thermocline currents is proposed, which can be used to predict the lateral drift trajectory of the AUV within the thermocline. Simulation is conducted to compare the results obtained by the proposed method and that in a real accident. The results demonstrate that the proposed approach exhibits small directional and positional errors. This validates the effectiveness of the proposed method.

Leveraging existing 16S rRNA microbial data to identify diagnostic biomarker in Chinese patients with gastric cancer: a systematic meta-analysis.

IMPORTANCE: Gastric cancer is a significant and growing health problem in China. Studies have revealed significant differences in gastric microbiota between patients with gastric cancer and non-cancerous patients, suggesting that microbiota may play a role in tumorigenesis. In this meta-analysis, existing 16S rRNA microbial data were analyzed to find combinations consisting of five genera, which had good efficacy in distinguishing gastric cancer from non-cancerous patients in multiple types of samples. These results lend support to the use of microbial markers in detecting gastric cancer. Moreover, these biomarkers are plausible candidates for further mechanistic research into the role of the microbiota in tumorigenesis.

An oral triple pill-based cocktail effectively controls acute myeloid leukemia with high translation.

Acute myeloid leukemia (AML) is a deadly hematological malignancy characterized by oncogenic translational addiction that results in over-proliferation and apoptosis evasion of leukemia cells. Various chemo- and targeted therapies aim to reverse this hallmark, but most show only modest efficacy. Here we report a single oral pill containing a low-dose triple small molecule-based cocktail, a highly active anti-cancer therapy (HAACT) with unique mechanisms that can effectively control AML. The cocktail comprises oncogenic translation inhibitor HHT, drug efflux pump P-gpi ENC and anti-apoptotic protein Bcl-2i VEN. Mechanistically, the cocktail can potently kill both leukemia stem cells (LSC) and bulk leukemic cells via co-targeting oncogenic translation, apoptosis machinery, and drug efflux pump, resulting in deep and durable remissions of AML in diverse model systems. We also identified EphB4/Bcl-xL as the cocktail response biomarkers. Collectively, our studies provide proof that a single pill containing a triple combination cocktail might be a promising avenue for AML therapy.

Excitonic Effect Drives Ultrafast Transition in Two-Dimensional Transition Metal Dichalcogenides.

Two-dimensional (2D) transition metal dichalcogenides (TMDCs) are ideal platforms for exploring excitonic physics because of the tightly bound excitons. In this work, we observed the onset of band-edge exciton formation in monolayer MoS2 (WS2) and bilayer MoS2-WS2 by measuring the transient optical response upon excitation with ultrashort laser pulses. In addition to wavelength dependence on excitation under nonresonant excitation, we found that the onset of band-edge exciton formation in monolayer MoS2 (WS2) pumped in the exciton state is significantly faster than that with pumping in the nonexciton state, which could be attributed to the effective transition between exciton states induced by the excitonic effect. Besides, the onset of band-edge exciton formation in van der Waals heterostructures is similar to that for monolayer TMDCs regardless of charge transfer at the interface. Our work contributes to a better understanding of exciton dynamics in 2D TMDCs, providing a solid basis of the rational design of the 2D optoelectronic applications based on TMDCs.

Management Quality of Surgical Instrument and Influence of Cleaning and Sterilization on the Surgical Outcomes of the Patient: A Review.

When a medical device or surgical instrument comes into contact with the patient's sterile tissue or mucous membrane during the various processes, the risk of introducing infections into the patient's body increases. Furthermore, an infection may be transmitted from one patient to another, from a patient to a member of the medical staff and vice versa or from the environment to the patient via improperly sterilized or disinfected equipment. A number of outbreaks and diseases have been documented in the hospital setting as a result of poorly sanitized devices. As a result, adequate disinfection procedures for medical and surgical items are required in all healthcare facilities. It is equally the responsibility of healthcare providers to reduce and eliminate such infections. Each hospital should have its own standards for sterilization and disinfection of equipment based on the intended use of medical devices and associated infections. In order to reduce the risk of both endogenous and exogenous infections, infection control procedures must be implemented in general practice. Using a formulation containing alcohol alone or in combination with other agents to properly wash hands after each patient's checkup and before any procedure reduces the likelihood of transmitting infections to and from patients. Sterilization and disinfection are the most important aspects of infection control. The most common sterilization methods are steam sterilizers and ethylene dioxide sterilizers. Trash generated during practice should be handled according to protocol and rules, as it may be a source of nosocomial infections. Trained personnel are required to carry out these procedures.

Photothermal-Starvation Therapy Nanomodulator Capable of Inhibiting Colorectal Cancer Recurrence and Metastasis by Energy Metabolism Reduction.

The recurrence and metastasis of colorectal cancer (CRC) have been considered as a severe challenge in clinical treatment. Recent studies have demonstrated that matrix metalloproteinases (MMPs) and lactate can promote local tumor angiogenesis, recurrence, and metastasis. The expression of MMPs is highly dependent on energy metabolism, and lactate is considered an alternative energy source for tumor proliferation and metastasis. Therefore, using a rational approach, a photothermal-starvation therapy nanomodulator that can reduce energy metabolism to suppress CRC recurrence and metastasis is designed. To design a suitable nanomodulator, glucose oxidase (GOX), indocyanine green (IR820), and α-cyano-4-hydroxycinnamic acid (CHC) into nanoparticles by a coassembly method are combined. The photothermal properties of IR820 provide the appropriate temperature and oxygen supply for the enzymatic reaction of GOX to promote intracellular glucose consumption. CHC inhibits the expression of monocarboxylate transporter 1 (MCT1), the transporter of lactic acid into cells, and also reduces oxygen consumption and promotes the GOX reaction. Additionally, altering adenosine triphosphate synthesis to block heat shock proteins expression can be an effective means to prevent IR820-mediated photothermal therapy resistance. Thus, this dual photothermal-starvation therapy nanomodulator efficiently suppresses the recurrence and metastasis of CRC by depleting intracellular nutrients.

Induction Therapy for Locally Advanced Head and Neck Squamous Cell Carcinoma.

The optimal approach to locally advanced head and neck squamous cell carcinoma (LAHNSCC) treatment remains controversial. For non-resectable LAHNSCC, the clinical interest of induction chemotherapy followed by concurrent chemoradiotherapy (CCRT) or radiotherapy has been questioned. With the approval of immunotherapy and targeted therapy for this disease, treatment options have become more complex. Although new trial data have appeared every year, the results are still inconclusive. In this review, we provide readers with information on new strategies for LAHNSCC induction therapy, which will facilitate evidence-based decision making in LAHNSCC treatment.

Efficient and Safe Editing of Porcine Endogenous Retrovirus Genomes by Multiple-Site Base-Editing Editor.

Gene-modified miniature pigs serve as alternative tissue and organ donors for xenotransplantation to alleviate the shortage of human allogenic organs. However, the high copy number of porcine endogenous retrovirus (PERV) genomes integrates with the porcine genome, which has a potential risk of cross-species transmission and hinders the clinical practice of xenotransplantation. Recently, CRISPR/Cas9 has been used to inactivate PERVs. However, Cas9 also triggers severe DNA damage at multiple integrated PERV sites in the porcine genome, which induces senescence and apoptosis of porcine cells. In this study, the cytosine base editor (CBE), an efficient and safe editor that does not cause DNA double strand breaks (DSBs), was used for PERV editing to reduce cytotoxic effects. Seven sgRNAs were set to target gag and pol loci of PERVs to induce premature stop codons. We found that approximately 10% of cell clones were completely inactivated for PERVs in pig ST cells, and the plasmid that was used for editing the PERVs did not integrate into host genome and influence the karyotype of the modified cells. Our studies offer a powerful and safe strategy for further generating PERV-knockout pigs using base editors.

cyy-287, a novel pyrimidine-2,4-diamine derivative, inhibits tumor growth of EGFR-driven non-small cell lung cancer via the ERK pathway.

In recent decades, EGFR-targeted tyrosine kinase inhibitors (TKIs) have been proven to be an effective therapy for EGFR-mutant non-small cell lung cancer (NSCLC). However, resistance to EGFR-TKIs limits their clinical application. In the present study, we investigate the antitumor effect and underlying mechanism of a novel pyrimidine-2,4-diamine derivative, cyy-287, in NSCLC. We find that cyy-287 has a high affinity for lung tissue and inhibits the proliferation of NSCLC cells. Interestingly, the significant suppression of migration and induction of apoptosis by cyy-287 are only observed in EGFR-driven but not in EGFR-wild-type (wt) cells. According to the RNA sequencing and KEGG enrichment analysis results, cyy-287 markedly inhibits the MAPK pathway in EGFR-driven PC9 cells, and western blot analysis results further indicate that cyy-287 selectively blocks the ERK pathway in EGFR-driven cells. Meanwhile, apoptosis induced by cyy-287 could be partially reversed by ERK pathway inhibition. Further experiment indicates that cyy-287 inhibits the EGFR pathway in both EGFR-driven and EGFR-overexpressing cells. Interestingly, it only induces apoptosis in EGFR-driven cells, not in EGFR-overexpressing cells. The growth of EGFR-driven cells is suppressed by cyy-287 in vivo, with fewer side effects. Our results suggest that cyy-287 may be a potential therapeutic drug with promising antitumor effects against NSCLC.

Genome-Wide Identification of ERF Transcription Factor Family and Functional Analysis of the Drought Stress-Responsive Genes in Melilotus albus.

As an important forage legume with high values in feed and medicine, Melilotus albus has been widely cultivated. The AP2/ERF transcription factor has been shown to play an important regulatory role in plant drought resistance, but it has not been reported in the legume forage crop M. albus. To digger the genes of M. albus in response to drought stress, we identified and analyzed the ERF gene family of M. albus at the genome-wide level. A total of 100 MaERF genes containing a single AP2 domain sequence were identified in this study, named MaERF001 to MaERF100, and bioinformatics analysis was performed. Collinearity analysis indicated that segmental duplication may play a key role in the expansion of the M. albus ERF gene family. Cis-acting element predictions suggest that MaERF genes are involved in various hormonal responses and abiotic stresses. The expression patterns indicated that MaERFs responded to drought stress to varying degrees. Furthermore, four up-regulated ERFs (MaERF008, MaERF037, MaERF054 and MaERF058) under drought stress were overexpressed in yeast and indicated their biological functions to confer the tolerance to drought. This work will advance the understanding of the molecular mechanisms underlying the drought response in M. albus. Further study of the promising potential candidate genes identified in this study will provide a valuable resource as the next step in functional genomics studies and improve the possibility of improving drought tolerance in M. albus by transgenic approaches.