Current situation and relationship between occupational stress, burn-out and sleep quality among ambulance drivers: a cross-sectional study.

OBJECTIVE: To understand the current status of occupational stress, occupational burn-out and sleep quality among ambulance drivers in Hengyang, China and to analyse the relationship between occupational stress, occupational burn-out and sleep quality of ambulance drivers. DESIGN: A cross-sectional study. SETTING: Prehospital emergency centre of third-class hospital in Hengyang, China. PARTICIPANTS: From October 2023 to December 2023, a cross-sectional survey was conducted, with 213 ambulance drivers from Hengyang, China, selected as participants. METHODS: General demographic questionnaires, the Chinese Occupational Stress Inventory, the Maslach Burnout Inventory and the Pittsburgh Sleep Quality Index were used for data collection and analysis. RESULTS: Occupational stress among ambulance drivers was positively correlated with occupational burn-out and sleep quality (r=0.528, 0.447, both p<0.01) while occupational burn-out was positively correlated with sleep quality (r=0.394, p<0.01). Occupational burn-out partially mediated the relationship between occupational stress and sleep quality among ambulance drivers, with a mediation effect value of 0.168, accounting for 26.09% of the total effect. CONCLUSION: The sleep quality of ambulance drivers in Hengyang, China is suboptimal, with occupational stress directly predicting sleep quality. Occupational burn-out plays a partial positive mediating role between occupational stress and sleep quality among ambulance drivers. Reducing occupational stress and burn-out is beneficial for improving the sleep quality of ambulance drivers.

RGS5+ lymphatic endothelial cells facilitate metastasis and acquired drug resistance of breast cancer through oxidative stress-sensing mechanism.

AIMS: Oxidative stress reflected by elevated reactive oxygen species (ROS) in the tumor ecosystem, is a hallmark of human cancers. The mechanisms by which oxidative stress regulate the metastatic ecosystem and resistance remain elusive. This study aimed to dissect the oxidative stress-sensing machinery during the evolvement of early dissemination and acquired drug resistance in breast cancer. METHODS: Here, we constructed single-cell landscape of primary breast tumors and metastatic lymph nodes, and focused on RGS5+ endothelial cell subpopulation in breast cancer metastasis and resistance. RESULTS: We reported on RGS5 as a master in endothelial cells sensing oxidative stress. RGS5+ endothelial cells facilitated tumor-endothelial adhesion and transendothelial migration of breast cancer cells. Antioxidant suppressed oxidative stress-induced RGS5 expression in endothelial cells, and prevented adhesion and transendothelial migration of cancer cells. RGS5-overexpressed HLECs displayed attenuated glycolysis and oxidative phosphorylation. Drug-resistant HLECs with RGS5 overexpression conferred acquired drug resistance of breast cancer cells. Importantly, genetic knockdown of RGS5 prevented tumor growth and lymph node metastasis. CONCLUSIONS: Our work demonstrates that RGS5 in lymphatic endothelial cells senses oxidative stress to promote breast cancer lymph node metastasis and resistance, providing a novel insight into a potentially targetable oxidative stress-sensing machinery in breast cancer treatment.

Cu Nanowires Encapsulated by ZIF67 for Efficient Ammonia Electrosynthesis from Nitrate.

Electrochemical NO3 - reduction reaction (NO3RR) represents a green and sustainable way to produce valuable NH3 for both NH3 production and nitrate contaminant removal, and developing efficient, durable, highly selective catalyst is the key. Herein, we report a facile method to fabricate a catalyst composed of ultrafine Cu nanowires (Cu NWs) encapsulated by ZIF67, namely, CuNW@ZIF67, for efficient NH3 electrosynthesis from nitrate. The CuNW@ZIF67 catalyst exhibited excellent catalytic performance toward NO3RR in alkaline electrolyte, manifested by a large NH3 Faradaic efficiency of 93.7 % at -0.5 V versus reversible hydrogen electrode (RHE), a high energy efficiency over 30 % at -0.7 V, and robust long-term stability. Such intriguing catalytic properties are mainly ascribed to its structural merits and the strong electronic interaction between Cu NWs and ZIF67. DFT calculations revealed that, the Cu site can easily convert NO3 - into NO2 -, while the Co site plays a critical role in catalyzing the NO2 --to-NH3 process. The study can shed light on rational design of efficient, durable, and highly selective catalysts for NO3RR and beyond.

Nomogram for predicting the risk of anxiety and depression in patients with non-mild burns.

BACKGROUND: Post-burn anxiety and depression affect considerably the quality of life and recovery of patients; however, limited research has demonstrated risk factors associated with the development of these conditions. AIM: To predict the risk of developing post-burn anxiety and depression in patients with non-mild burns using a nomogram model. METHODS: We enrolled 675 patients with burns who were admitted to The Second Affiliated Hospital, Hengyang Medical School, University of South China between January 2019 and January 2023 and met the inclusion criteria. These patients were randomly divided into development (n = 450) and validation (n = 225) sets in a 2:1 ratio. Univariate and multivariate logistic regression analyses were conducted to identify the risk factors associated with post-burn anxiety and depression diagnoses, and a nomogram model was constructed. RESULTS: Female sex, age < 33 years, unmarried status, burn area ≥ 30%, and burns on the head, face, and neck were independent risk factors for developing post-burn anxiety and depression in patients with non-mild burns. The nomogram model demonstrated predictive accuracies of 0.937 and 0.984 for anxiety and 0.884 and 0.923 for depression in the development and validation sets, respectively, and good predictive performance. Calibration and decision curve analyses confirmed the clinical utility of the nomogram. CONCLUSION: The nomogram model predicted the risk of post-burn anxiety and depression in patients with non-mild burns, facilitating the early identification of high-risk patients for intervention and treatment.

SF method for removing small skin melanocytic nevus.

Background: The most prevalent benign skin tumor is a melanocytic nevus, which can potentially turn cancerous and frequently impair a patient's appearance. Objective: To find a standardized surgical procedure for the removal of tiny skin pigmented nevis and to look into the effectiveness of the SF technique for doing so. Methods: A retrospective study was conducted on 723 patients with small-sized pigmented nevi between June 2022 and June 2023. The nevi were removed using the SF method, and the patients' overall health and the duration of the procedure were recorded. Three months following the procedure, the patients completed a questionnaire to assess the effectiveness, recurrence, complications, and degree of satisfaction with the surgical outcome. Results: Compared with the normal method, SF method had shorter operation time, higher effective rate, no recurrence and other postoperative complications after 6 months, less scar hyperplasia, and good evaluation satisfaction of all patients. No patient was rated as average or poor. No recurrence. Conclusion: The standardized surgical approaches for the small-size excision of melanocytic nevuses may be easily mastered by primary practitioners using the SF method, making it a valuable tool for practical use.

Cholesterol-rich lysosomes induced by respiratory syncytial virus promote viral replication by blocking autophagy flux.

Respiratory syncytial virus (RSV) hijacks cholesterol or autophagy pathways to facilitate optimal replication. However, our understanding of the associated molecular mechanisms remains limited. Here, we show that RSV infection blocks cholesterol transport from lysosomes to the endoplasmic reticulum by downregulating the activity of lysosomal acid lipase, activates the SREBP2-LDLR axis, and promotes uptake and accumulation of exogenous cholesterol in lysosomes. High cholesterol levels impair the VAP-A-binding activity of ORP1L and promote the recruitment of dynein-dynactin, PLEKHM1, or HOPS VPS39 to Rab7-RILP, thereby facilitating minus-end transport of autophagosomes and autolysosome formation. Acidification inhibition and dysfunction of cholesterol-rich lysosomes impair autophagy flux by inhibiting autolysosome degradation, which promotes the accumulation of RSV fusion protein. RSV-F storage is nearly abolished after cholesterol depletion or knockdown of LDLR. Most importantly, the knockout of LDLR effectively inhibits RSV infection in vivo. These findings elucidate the molecular mechanism of how RSV co-regulates lysosomal cholesterol reprogramming and autophagy and reveal LDLR as a novel target for anti-RSV drug development.

Whole-genome resequencing reveals genetic diversity, differentiation, and selection signatures of yak breeds/populations in southwestern China.

The Sichuan-Yunnan region is the main production area of yaks in southwestern China, with rich genetic resources of Yaks. Nevertheless, there have been limited study on the genetic characteristics of the entire yak populations in Tibet and southwestern China. In this study, we performed whole-genome resequencing to identify genetic variation information in a total of 198 individuals from six yak breeds (populations) in Sichuan (Muli yak, Jinchuan yak, Changtai yak, Maiwa yak), Yunnan (Zhongdian yak), and Tibet (Tibetan yak). The aim was to investigate the whole-genome genetic diversity, population genetic structure, and genome selection signatures. We observed that all six populations exhibit abundant genetic diversity. Except for Tibetan yaks, which showed low nucleotide diversity (0.00104), the remaining yak populations generally displayed high nucleotide diversity (0.00129-0.00153). Population genetic structure analysis revealed that, among the six yak populations, Muli yak exhibited greater differentiation from other yak populations and formed a distinct cluster independently. The Maiwa yak population displayed a complex genetic structure and exhibited gene exchange with Jinchuan and Changtai yaks. Positive selection signals were detected in candidate genes associated with growth (GNB4, HMGA2, TRPS1, and LTBP1), reproduction (PI4KB, DYNC1I1, and GRIP1), immunity (CD200 and IL1RAP), lactation (SNX13 and CPM), hypoxia adaptation (NDUFB6, PRKN, and MRPS9), hair (KRT24, KRT25, and KRT26), meat quality (SUCLG2), digestion and absorption (CLDN1), and pigment deposition (OCA2) using the integrated Pi and F ST methods. This study provides significant insights into understanding the whole-genome genetic characteristics of yak populations in Tibet and southwestern China.

Two new chemical constituents from the aerial parts of Tripterygium wilfordii.

Tripterygium wilfordii has been historically employed as a conventional botanical insecticide and a plant of medicinal significance. A new dihydroagarofuran sesquiterpene (1) and a new acyclic compound (2), along with seven known compounds (3-9), have been isolated from the aerial parts of Tripterygium wilfordii. The identification of the structures of novel compounds were accomplished through comprehensive spectroscopic analyses, encompassing HRESIMS, NMR, UV, IR, and a comparative analysis with spectroscopic data from compounds previously characterised. In in-vitro bioassay, compound 8 exhibited significant inhibitory activity for NO release in LPS-induced RAW 264.7 cells, with an IC50 value of 15.7 µM.

Correction of Lying Ear and Aesthetic Modification of Helix and Ear Lobule With Hyaluronic Acid Filler Injection: Experience in Chinese Patients.

BACKGROUND: Large and long ears are regarded as symbols of wealth and health in East Asian culture, and people with lying ears often want their ears to be more exposed and prominent. Surgeries to correct lying ears have been documented. OBJECTIVES: The aim of this study was to report the correction of lying ears and the aesthetic modification of helix and ear lobule with hyaluronic acid (HA) injections. METHODS: HA injections were performed at the auriculocephalic sulcus to increase the cranioauricular angle (CA) and correct lying ears. The injections at helix and lobule were case specific. The CA was measured and photographs were taken at baseline and at 1-, 3-, 6-, and 10-month follow-ups. Efficacy was assessed with the 5-point Global Aesthetic Improvement Scale (GAIS). Adverse events were recorded. RESULTS: Forty-six patients (92 ears) received HA injections and completed follow-ups. Instant correction outcomes were observed. Sixteen (34.8%) patients received 1 touch-up injection, the clinical efficacy of which persisted for 1 to 1.5 years. For over 90% of cases with touch-up treatment the GAIS was "very much improved" or "much improved" at all follow-ups. The GAIS for over 70% of cases without touch-up treatment was "very much improved" or "much improved" at 1-, 3-, and 6-month follow-ups. CA increased significantly compared with the baseline. Patients also reported "more V-shaped face shape" and "lifted jawline" effects. No serious adverse events occurred. CONCLUSIONS: As an alternative technique to surgeries, HA filler injections at the auriculocephalic sulcus effectively corrected lying ears. This technique produced immediate, long-lasting, and aesthetically pleasing results. The side effects and downtime were minimal.

Phenolic and flavonoid compounds from the fruit shell of Camellia oleifera.

A new phenolic compound oleiphenol (1), and a new dihydrochalcone oleifechalcone (2) along with seven known compounds (3-9) were isolated from the fruit shell of Camellia oleifera Abel. The planar structures of compounds 1 and 2 were determined on the basis of extensive spectroscopic analyses (IR, UV, NMR, and HR-ESI-MS) and comparison with literature data. The absolute configurations of the new structures were determined by ECD calculations and chemical methods. In addition, compounds 1-9 underwent a series of pharmacological activity tests, including cytotoxic, anti-inflammatory, anti-RSV and antioxidant activities.

Exploring the biological behavior and underlying mechanism of KITLG in triple-negative breast cancer.

The tyrosine-kinase receptor that is specified by the KIT locus is demarcated by KITLG. This multifaceted factor is instrumental during in-utero germ and neural cell maturation and hematopoiesis, ostensibly reflecting its role in facilitating cell migration. Concurrently, KITLG is prone to a mutation in germ cell tumors, entailing a presumed connection to tumorigenesis. Despite this, the intricacies of its function in breast cancer and the relevant mechanisms remain elusive. Multiple independent databases depict a consistently low expression of KITLG within tissues affected by triple-negative breast cancers (TNBC), a trend strongly coupled with reduced survival rates. Interestingly, non-triple-negative breast cancers exhibit a markedly high expression of KITLG compared to the norm. An initial analysis of the GEO database speculates that KITLG may serve as an oncogene suppressor in TNBC, hinting at varied roles for KITLG isoforms within this disease context. In conclusion, our preliminary analysis offers valuable insights into the role and expression pattern of KITLG in TNBC. We provide evidence supporting its consideration as a promising new prognostic marker, thereby potentially enriching therapeutic strategies for TNBC. Indeed, given the limited advances in molecularly targeted therapy for TNBC, a significant need exists for a more precise therapeutic approach and a comprehensive understanding of its inherent mechanisms of action.

Spleen-dedicated stiffness measurement performed well to rule out high-risk varices in HBV-related hepatocellular carcinoma: Screening for high-risk varices in HCC.

BACKGROUND: Esophagogastroduodenoscopy (EGD) is required to screen for high-risk varices (HRV) in patients with hepatocellular carcinoma (HCC), especially since overall survival rates have dramatically improved with new systemic therapies. AIM: To assess the Baveno VI and Baveno VII algorithms' ability to rule out HRV in hepatitis B virus (HBV)-related HCC METHODS: We prospectively enrolled consecutive patients with HBV related, compensated cirrhosis and newly diagnosed HCC who underwent liver stiffness measurement, spleen stiffness measurement (SSM) using a 100-Hz shear wave frequency, and EGD. RESULTS: From September 2021 to August 2023, we enrolled 219 patients with HCC, with 107 (48.9%) Barcelona Clinic Liver Cancer (BCLC) A, 28 (12.8%) BCLC B and 84 (38.3%) BCLC C, respectively. HRV prevalence was 28.8% (63/219). Baveno VI criteria safely (HRV missing rate, 3.2%) avoided 27.4% unnecessary EGDs, while the Baveno VII algorithm avoided 49.3% with HRV missing rate at 7.9% (5/63). The SSM ≤40 kPa avoided 47.5% of EGDs safely (HRV missing rate, 4.8%), significantly better than the Baveno VI criteria (p < 0.001) and comparable to the Baveno VII algorithm (p = 0.390). The SSM ≤40 kPa safely avoided EGDs in patient subgroups within Milan criteria, with portal vein tumour thrombosis or BCLC B/C or candidates for systemic therapy. CONCLUSIONS: We validated that the SSM ≤40 kPa using a 100-Hz probe could safely eliminate more unnecessary EGDs than the Baveno VI criteria in patients with HBV-related HCC. However, the efficacy of the Baveno VII algorithm in patients with HCC requires further investigation.

Artesunate attenuates serum amyloid A-induced M1 macrophage differentiation through the promotion of PHGDH.

Clinical studies indicated that Serum Amyloid A (SAA) might be a promising biomarker for forecasting the activity, severity, and adverse prognosis of systemic lupus erythematosus (SLE). Simultaneously, a positive correlation has been observed between macrophages, Th17 cells, and SLE disease activity, with both these immune cells being affected by SAA. Presently, the relationship between SAA and the aforementioned immune cell types in SLE remains to be elucidated. To discern the immune cell type most closely associated with SAA, we undertook a single-cell RNA sequencing data analysis via the GEO database. Subsequent results revealed a strong association between macrophages and SAA, a relationship further validated through flow cytometry of spleen macrophages in the MRL/lpr model. We discovered that SAA stimulate M1 macrophage differentiation along with the upregulation of pro-inflammatory cytokines such as IL-6 and IL-1ß. Our findings suggest that SAA may promote M1 macrophage differentiation via the downregulation of phosphoglycerate dehydrogenase (PHGDH). Artesunate (ART), primarily utilized for malaria treatment, was shown to inhibit M1 macrophage differentiation and pro-inflammatory cytokine levels via upregulating the PHGDH expression, thereby attenuating the disease activity in SLE.

Respiratory syncytial virus co-opts hypoxia-inducible factor-1α-mediated glycolysis to favor the production of infectious virus.

IMPORTANCE: Respiratory syncytial virus (RSV) is the leading etiological agent of lower respiratory tract illness. However, efficacious vaccines or antiviral drugs for treating RSV infections are currently not available. Indeed, RSV depends on host cells to provide energy needed to produce progeny virions. Glycolysis is a series of oxidative reactions used to metabolize glucose and provide energy to host cells. Therefore, glycolysis may be helpful for RSV infection. In this study, we show that RSV increases glycolysis by inducing the stabilization, transcription, translation, and activation of hypoxia-inducible factor (HIF)-1α in infected cells, which is important for the production of progeny RSV virions. This study contributes to understanding the molecular mechanism by which HIF-1α-mediated glycolysis controls RSV infection and reveals an effective target for the development of highly efficient anti-RSV drugs.

Dense Convolutional Neural Network for Identification of Raman Spectra.

The rapid development of cloud computing and deep learning makes the intelligent modes of applications widespread in various fields. The identification of Raman spectra can be realized in the cloud, due to its powerful computing, abundant spectral databases and advanced algorithms. Thus, it can reduce the dependence on the performance of the terminal instruments. However, the complexity of the detection environment can cause great interferences, which might significantly decrease the identification accuracies of algorithms. In this paper, a deep learning algorithm based on the Dense network has been proposed to satisfy the realization of this vision. The proposed Dense convolutional neural network has a very deep structure of over 40 layers and plenty of parameters to adjust the weight of different wavebands. In the kernel Dense blocks part of the network, it has a feed-forward fashion of connection for each layer to every other layer. It can alleviate the gradient vanishing or explosion problems, strengthen feature propagations, encourage feature reuses and enhance training efficiency. The network's special architecture mitigates noise interferences and ensures precise identification. The Dense network shows more accuracy and robustness compared to other CNN-based algorithms. We set up a database of 1600 Raman spectra consisting of 32 different types of liquid chemicals. They are detected using different postures as examples of interfered Raman spectra. In the 50 repeated training and testing sets, the Dense network can achieve a weighted accuracy of 99.99%. We have also tested the RRUFF database and the Dense network has a good performance. The proposed approach advances cloud-enabled Raman spectra identification, offering improved accuracy and adaptability for diverse identification tasks.

Keyframe-aided resolution enhancement network for dynamic super-resolution structured illumination microscopy.

Deep learning has been used to reconstruct super-resolution structured illumination microscopy (SR-SIM) images with wide-field or fewer raw images, effectively reducing photobleaching and phototoxicity. However, the dependability of new structures or sample observation is still questioned using these methods. Here, we propose a dynamic SIM imaging strategy: the full raw images are recorded at the beginning to reconstruct the SR image as a keyframe, then only wide-field images are recorded. A deep-learning-based reconstruction algorithm, named KFA-RET, is developed to reconstruct the rest of the SR images for the whole dynamic process. With the structure at the keyframe as a reference and the temporal continuity of biological structures, KFA-RET greatly enhances the quality of reconstructed SR images while reducing photobleaching and phototoxicity. Moreover, KFA-RET has a strong transfer capability for observing new structures that were not included during network training.

Venetoclax with CAG regimen for early T-cell precursor acute lymphoblastic leukemia: a case report and literature review.

This article describes a potential treatment for early T-cell precursor acute lymphoblastic leukemia (ETP-ALL), a relatively rare and highly aggressive hematologic malignancy. A 59-year-old woman admitted to our hospital with enlarged cervical lymph nodes, weight loss, abnormal count, and morphology of peripheral blood cells was diagnosed with ETP-ALL according to morphology, immunology, cytogenetics, and molecular biology. The patient initially received two cycles of the VICP regimen, including vincristine, idarubicin, cyclophosphamide, and prednisone, and had a response with positive minimal residual disease (MRD). The patient was then given venetoclax plus the CAG regimen, including aclarubicin, cytosine arabinoside, and granulocyte colony-stimulating factor. After one cycle, the patient achieved complete remission with negative MRD and was eligible for allogeneic hematopoietic stem cell transplantation.

Dry eye syndrome model established in rabbits via mitomycin C injection in the lacrimal gland.

PURPOSE: To develop a new dry eye syndrome (DES) animal model by injecting mitomycin C (MMC) into the lacrimal glands (LGs) of rabbits evaluated by clinical examinations. MATERIALS AND METHODS: A volume of 0.1 mL of MMC solution was injected in the LG and the infraorbital lobe of the accessory LG of rabbits for DES induction. Twenty male rabbits were separated into three groups, the control group, and different concentration of MMC, (MMC 0.25: 0.25 mg/mL or MMC 0.50: 0.5 mg/mL) were tested. Both MMC-treated groups received MMC twice injection on day 0 and day 7. Assessment of DES included changes in tear production (Schirmer's test), fluorescein staining pattern, conjunctival impression cytology, and corneal histological examination. RESULTS: After MMC injection, no obvious changes in the rabbit's eyes were noted by slit-lamp examination. Both the MMC 0.25 and the MMC 0.5 groups revealed decreased tear secretion after injection, and the MMC 0.25 group showed a continuous decrease in tear secretion up to 14 days. Fluorescent staining showed punctate keratopathy in both MMC-treated groups. In addition, both MMC-treated groups demonstrated decreased numbers of conjunctival goblet cells after injection. CONCLUSION: This model induced decreased tear production, punctate keratopathy, and decreased numbers of goblet cells, which are consistent with the current understanding of DES. Therefore, injecting MMC (0.25 mg/mL) into the LGs is an easy and reliable method to establish a rabbit DES model which can apply in new drug screening.

Gout and risk of dementia, Alzheimer's disease or vascular dementia: a meta-epidemiology study.

Objectives: The association between gout and dementia, Alzheimer's disease (AD), or vascular dementia (VD) is not fully understood. The aim of this meta-analysis was to evaluate the risk of all-cause dementia, AD, and VD in gout patients with or without medication. Methods: Data sources were PubMed, Embase, the Cochrane Library, and reference lists of included studies. This meta-analysis included cohort studies assessing whether the risk of all-cause dementia, AD, and VD was associated with gout. The risk of bias was assessed using the Newcastle-Ottawa Quality Assessment Scale (NOS). The Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system was used to access the overall certainty of evidence. Risk ratios (RR) with 95% confidence intervals (CI) were pooled using a random-effects model, and publication bias was assessed with funnel plots and Egger's test. Results: A total of six cohort studies involving 2,349,605 individuals were included in this meta-analysis, which were published between 2015 and 2022. The pooling analysis shows that the risk of all-cause dementia was decreased in gout patients [RR = 0.67, 95% CI (0.51, 0.89), I2 = 99%, P = 0.005, very low quality], especially in gout patients with medication [RR = 0.50, 95% CI (0.31, 0.79), I2 = 93%, P = 0.003, low quality]. The risk of AD [RR = 0.70, 95% CI (0.63, 0.79), I2 = 57.2%, P = 0.000, very low quality] and VD [RR = 0.68, 95% CI (0.49, 0.95), I2 = 91.2%, P = 0.025, very low quality] was also decreased in gout patients. Despite the large heterogeneity, the sensitivity analysis indicated that the results were robust, and there was little evidence of publication bias. Conclusion: The risk of all-cause dementia, AD, and VD is decreased in gout patients, but the quality of evidence is generally low. More studies are still needed to validate and explore the mechanisms of this association. Systematic review registration: https://www.crd.york.ac.uk/prospero/#recordDetails, identifier: CRD42022353312.

Heterostructure of NiFe@NiCr-LDH for Active and Durable Oxygen Evolution Reactions in Alkaline Media.

Developing cost-effective, efficient, and durable catalysts for oxygen evolution reactions (OER) is the key for promoting large-scale H2 production through electrochemical water splitting. Herein, we report a facile method for fabricating an NiFe@NiCr-LDH catalyst toward alkaline OER. The electronic microscopy technique revealed that it has a well-defined heterostructure at the interface between the NiFe and NiCr phases. In 1.0 M KOH, the as-prepared NiFe@NiCr-LDH catalyst shows excellent catalytic performance, evidenced by an overpotential of 266 mV at the current density of 10 mA cm-2 and a small Tafel slope of 63 mV dec-1; both are comparable with the RuO2 benchmark catalyst. It also exhibits robust durability in long-term operation, manifested by a 10% current decay in 20 h, which is superior to that of the RuO2 catalyst. Such excellent performance is attributed to the interfacial electron transfer that occurs at the interfaces of the heterostructure, and the Fe(III) species facilitate the formation of Ni(III) species as active sites in NiFe@NiCr-LDH. This study offers a feasible strategy for preparing a transition metal-based LDH catalyst for OER toward H2 production and other electrochemical energy technologies.