Combining action research theory with focus-solving short-term psychotherapy for psychological stress, adjustment, and rehabilitation in patients with postoperative acute myocardial infarction following percutaneous coronary intervention.

OBJECTIVE: To evaluate the impact of combining action research theory with focus-solving short-term psychotherapy on the psychological stress, adjustment, and rehabilitation of patients with acute myocardial infarction (AMI) following percutaneous coronary intervention (PCI). METHODS: Between January 2022 and January 2023, a prospective study was conducted involving 300 AMI patients at Union Hospital, Tongji Medical College, Huazhong University of Science and Technology. Participants were divided into a control group and a study group, with 150 patients in each. The control group received standard treatment and rehabilitation guidance, while the study group also received interventions based on action research theory and focus-solving short-term psychotherapy. Outcomes measured included scores from the Hamilton Anxiety Scale (HAMA), Hamilton Depression Scale (HAMD), Mental Health Inventory (MHI), National Institutes of Health Stroke Scale (NIHSS), Fugl-Meyer Assessment (FMA), Essential Skills for Caregivers Assessment (ESCA), and patient satisfaction. Prognostic factors were also analyzed. RESULTS: Post-intervention, the study group demonstrated significantly lower scores in HAMA and HAMD and reported less psychological pain, alongside higher scores in psychological well-being, compared to the control group (all P < 0.05). Additionally, the study group showed improved neurological function (NIHSS scores) and motor skills (FMA scores) as well as enhanced self-care abilities (higher ESCA scores) (all P < 0.05). Patient satisfaction was also notably higher in the study group (P < 0.05). Key prognostic factors included history of diabetes, Killip classification, and door-to-balloon (DTB) time. CONCLUSION: The integration of action research theory with focus-solving short-term psychotherapy significantly alleviated anxiety and depression in AMI patients post-PCI, enhanced their psychological adjustment, and facilitated the recovery of neurological and motor functions. This approach also improved self-care capabilities. Effective management of underlying conditions, vigilant monitoring of Killip classification, and minimization of DTB time are critical to reducing major adverse cardiac events and improving patient outcomes.

Understanding the evolution of macrolides resistance: a mini review.

BACKGROUND: Macrolides inhibit the growth of bacterial cells by preventing the elongation of polypeptides during protein biosynthesis and includes natural, synthetic, and semisynthetic products. This occurs by blocking the passage of the polypeptide chain as macrolides bind at the nascent peptide exit tunnel. OBJECTIVE: Recent data of ribosome profiling via ribo-seq further proves that other than blocking the polypeptide chain, macrolides are also able to affect the synthesis of individual proteins. Thus, this shows that the mode of action of macrolides is more complex than we initially thought. Since the discovery of macrolides in the 1950s, they have been widely used in veterinary, agriculture, and medicine. Due to misuse and overuse of antibiotics; bacteria have acquired resistance against them. Hence, it is of utmost importance for us to fully understand the mode of action of macrolides as well as the mechanism of resistance against macrolides to mitigate the antibiotic resistance issues. CONTENT: With a better understanding on the mode of actions of macrolides, chemical modifications can be performed to improve its potency. Furthermore, the complete detailed understanding of the mode of action of macrolides remained vague as new findings challenged the theory that was already in existence - due to this obscurity, research into macrolides' mode of action continues up to this day. CONCLUSION: In this review, we present an overview of macrolide antibiotics with the emphasis on the latest knowledge regarding the mode of action of macrolides and mechanism of resistance employed in bacteria against macrolides.

Pilot-Scale Screening of Clinically Approved Drugs to Identify Uridine Insertion/Deletion RNA Editing Inhibitors in Trypanosoma brucei.

RNA editing pathway is a validated target in kinetoplastid parasites (Trypanosoma brucei, Trypanosoma cruzi, and Leishmania spp.) that cause severe diseases in humans and livestock. An essential large protein complex, the editosome, mediates uridine insertion and deletion in RNA editing through a stepwise process. This study details the discovery of editosome inhibitors by screening a library of widely used human drugs using our previously developed in vitro biochemical Ribozyme Insertion Deletion Editing (RIDE) assay. Subsequent studies on the mode of action of the identified hits and hit expansion efforts unveiled compounds that interfere with RNA-editosome interactions and novel ligase inhibitors with IC50 values in the low micromolar range. Docking studies on the ligase demonstrated similar binding characteristics for ATP and our novel epigallocatechin gallate inhibitor. The inhibitors demonstrated potent trypanocidal activity and are promising candidates for drug repurposing due to their lack of cytotoxic effects. Further studies are necessary to validate these targets using more definitive gene-editing techniques and to enhance the safety profile.

Perceptions, attitudes and barriers to effective obesity care among people living with obesity and healthcare professionals in China: The ACTION-China study.

AIMS: To identify perceptions, attitudes, behaviours and barriers to effective obesity care among people living with obesity (PLwO) and healthcare professionals (HCPs) across mainland China. MATERIALS AND METHODS: ACTION-China (ClinicalTrials.gov: NCT05428501) was a cross-sectional, observational, descriptive, online survey-based study of 7000 PLwO and 1000 HCPs (conducted between August and November 2022). RESULTS: The majority of PLwO (76.8% [5374/7000]) and HCPs (94.6% [946/1000]) agreed that obesity is a chronic disease. Only 40.8% of PLwO (2853/7000) had discussed their weight or talked about losing weight with an HCP in the past 5 years. The most frequent reason given by PLwO for not discussing weight management with an HCP was believing it was their responsibility to manage their weight (34.7% [2430/7000]), whereas the most frequent reason HCPs gave for not discussing obesity with their patients with obesity was having more important health issues to discuss (72.1% [721/1000]). A smaller proportion of PLwO (19.1%) than HCPs (53.6%) felt that weight management discussions with an HCP would be very or extremely helpful for the patient, and 30.7% of PLwO experienced negative feelings after their most recent discussion. Overall, 34.8% (2438/7000) of PLwO had been diagnosed with obesity by an HCP, while 30.0% (2101/7000) of PLwO did not recognize that they had obesity. CONCLUSIONS: This large, national survey conducted among PLwO and HCPs highlights key barriers to effective obesity care in China, including underestimation of weight status by PLwO and the need for increased communication between HCPs and PLwO regarding weight management.

Cardiac arrhythmias in fish induced by natural and anthropogenic changes in environmental conditions.

A regular heartbeat is essential for maintaining the homeostasis of the vertebrate body. However, environmental pollutants, oxygen deficiency and extreme temperatures can impair heart function in fish. In this Review, we provide an integrative view of the molecular origins of cardiac arrhythmias and their functional consequences, from the level of ion channels to cardiac electrical activity in living fish. First, we describe the current knowledge of the cardiac excitation-contraction coupling of fish, as the electrical activity of the heart and intracellular Ca2+ regulation act as a platform for cardiac arrhythmias. Then, we compile findings on cardiac arrhythmias in fish. Although fish can experience several types of cardiac arrhythmia under stressful conditions, the most typical arrhythmia in fish - both under heat stress and in the presence of toxic substances - is atrioventricular block, which is the inability of the action potential to progress from the atrium to the ventricle. Early and delayed afterdepolarizations are less common in fish hearts than in the hearts of endotherms, perhaps owing to the excitation-contraction coupling properties of the fish heart. In fish hearts, Ca2+-induced Ca2+ release from the sarcoplasmic reticulum plays a smaller role than Ca2+ influx through the sarcolemma. Environmental changes and ion channel toxins can induce arrhythmias in fish and weaken their tolerance to environmental stresses. Although different from endotherm hearts in many respects, fish hearts can serve as a translational model for studying human cardiac arrhythmias, especially for human neonates.

Physicochemical properties, biological chemistry and mechanisms of action of caries-arresting diammine-silver(I) fluoride and silver(I)-fluoride solutions for clinical use: a critical review.

This paper serves as a Part II follow-up of our research investigations performed on the molecular structures of silver(I)-fluoride (SF) and diammine-silver(I) fluoride (SDF) complexes in solution-based commercial products for clinical application, their precise chemical compositions, and their nature in aqueous solution, the latter including rapid fluoride-exchange processes at the silver(I) ion centre monitored by 19F NMR analysis (Part I). Part I of this series also explores the mechanisms of action (MoA) of these complexes, and is therefore largely focused on their chemical reactions with constituents of human saliva, which has access to their sites of application. Such reactions were found to slowly promote the generation of potentially physiologically-active Ag/AgCl nanoparticles from primarily-generated discoloured silver(I) chloride (AgCl) precipitates, a process involving salivary electron-donors such as thiocyanate and L-cysteine. Since this research has shed new light on potential MoAs for these products, in this accompanying report (Part II), we have performed a critical review of scientific literature in order to rationalize our results in relation to current views on these mechanisms for SF and SDF products employed for the successful clinical arrest of dental caries. Following an Introduction to the subject matter ( Section 1), this paper comprises a generalized overview of silver coordination chemistry ( Section 2), which is followed by a section focused on the aqueous solution status and equilibria involved in SF chemistry ( Section 3), the latter including results acquired from an original simulation of the electronic absorption spectra of coloured SF complexes in aqueous solution (Section 3.1). Section 4 then investigates detailed rationales for the biologically-relevant ligand-exchange and redox chemistries, disposition and fates of SF, SDF and silver(I)-nitrate when employed for the treatment of dental caries, with emphasis placed on their therapeutic MoAs. This Section is supported by the provision of valuable information centralized on (1) relevant biomolecular chemistry involved in solution- and solid-state matrices ( Section 4.1); (2) SF and perhaps silver(I)-nitrate as more cost-effective alternatives to SDF therapies ( Section 4.2); and (3) the potential therapeutic benefits and effects offered by silver-based nanoparticles and their associated MoAs ( Section 4.3). Recommendations for future investigations in this area are proposed.

Antibacterial efficacy interference of the photocatalytic TiO2 nanoparticle and the lytic bacteriophage vb_EcoS_bov25_1D on the Enterohaemorragic Escherichia coli strain Sakai.

Post-antibiotic era requires the use of alternative pesticides against bacterial infections. One potential application field is agriculture, where pesticides are routinely applied in combinations. In this study we tested the interference of antibacterial effects of two alternative antimicrobials with basically different mode of actions if applied together in vitro by using the Enterohemorrhagic E. coli strain Sakai as a modelorganism, one strain of a pathotype that is frequently associated with meat and plant derived infections. TiO2 is a photocatalytically active nanomaterial, which can generate reactive oxygen species (ROS), exerting destructive effects on macromolecules, while the vb_EcoS_bov25_1D bacteriophage has a specific lytic action. Both, bacteriophages and Sakai were sensitive against ROS if tested separately, during that PFUs of bacteriophages dropped from 5 × 105 to 0 in 4 h, while in case of Sakai CFUs decreased with 5 and 2 logs of magnitude in the presence of 0,05 % and 0,025 % of TiO2 respectively. In Sakai by the sixth minute of ROS exposition the expressions of superoxide dismutases and catalases were boosted, as revealed by whole transcriptomic analyses, but the elevated levels rclC and bshA support some roles of these genes under this stress situation. Combined application of phages and TiO2 under UV-A exposure have revealed that beside the inner enzymatic defence mechanisms presenting phage particles served as shields and spoiled the antimicrobial effect of TiO2 (0,0125 %). As a consequence, phages became sacrificed as during exposition a 3-log drop (5 × 105→5 × 102) in their PFUs was revealed. Survived bacteriophages however in the system remained active and under the subsequent dark phase the 3-log drop in the PFU was compensated in 24 h. Our results show that joint application of the two alternative antimicrobial agents TiO2 and a bacteriophage can have two consequences depending on the circumstances they were used. From one side they complement each other's effects in that TiO2 can exert its effect on UV-A or sunlight exposed areas, whereas the bacteriophage on non-exposed surfaces. On the other hand, they also can spoil each others effect as phages can bind generated ROS and by that protect target bacteria, but bacteria themselves can serve as shields and by that protect phages from the destroying effect of ROS, phages however can exert their antibacterial effects on bacteria.

Understanding the factors influencing biosecurity adoption on smallholder poultry farms in Ghana: a qualitative analysis using the COM-B model and Theoretical Domains Framework.

Introduction: Antimicrobial resistance (AMR) poses a significant global threat to public, animal, and environmental health, consequently producing downstream economic impacts. While top-down approaches to addressing AMR (e.g., laws regulating antimicrobial use) are common in high-income countries, limited enforcement capacities in low- and middle-income countries highlight the need for more bottom-up approaches. Within agriculture, efforts to apply bottom-up approaches to AMR have often focused on the promotion of biosecurity, which should reduce the need for antimicrobials by mitigating disease risk and limiting AMR transmission. Traditionally, efforts to encourage biosecurity adoption have emphasized training and awareness-raising initiatives. However, a growing body of research suggests a disconnect between knowledge and behavior, highlighting the existence of a knowledge-action gap. Method: To understand the barriers and enablers patterning the knowledge-action gap in on-farm biosecurity uptake, we draw upon models from behavioral science. We analyzed in-depth interviews and two focus group discussions with smallholder poultry producers in Ghana to understand factors underlying the intention-action gap in adopting biosecurity. As an analytical framework, we draw upon the Theoretical Domains Framework in combination with the Capability-Opportunity-Motivation Behavioral Model. Results and discussion: While smallholder poultry farmers in Ghana were aware of the importance of biosecurity practices, they struggled with consistent implementation. Financial constraints, challenges in adapting practices to the local context, and limited resources hindered adoption. Additionally, cognitive biases like prioritizing short-term gains and underestimating disease risks played a role. However, some farmers found motivation in professional identity and social influences. These findings highlight the need for designing biosecurity interventions that consider human behavioral factors and the context in which behavior occurs. This underscores the importance of collaboration across disciplines, including veterinary science and the social and behavioral sciences. Implications and recommendations for researchers and practitioners are discussed.

Application of an Adapted Health Action Process Approach Model to Predict Engagement With a Digital Mental Health Website: Cross-Sectional Study.

BACKGROUND: Digital Mental Health (DMH) tools are an effective, readily accessible, and affordable form of mental health support. However, sustained engagement with DMH is suboptimal, with limited research on DMH engagement. The Health Action Process Approach (HAPA) is an empirically supported theory of health behavior adoption and maintenance. Whether this model also explains DMH tool engagement remains unknown. OBJECTIVE: This study examined whether an adapted HAPA model predicted engagement with DMH via a self-guided website. METHODS: Visitors to the Mental Health America (MHA) website were invited to complete a brief survey measuring HAPA constructs. This cross-sectional study tested the adapted HAPA model with data collected using voluntary response sampling from 16,078 sessions (15,619 unique IP addresses from United States residents) on the MHA website from October 2021 through February 2022. Model fit was examined via structural equation modeling in predicting two engagement outcomes: (1) choice to engage with DMH (ie, spending 3 or more seconds on an MHA page, excluding screening pages) and (2) level of engagement (ie, time spent on MHA pages and number of pages visited, both excluding screening pages). RESULTS: Participants chose to engage with the MHA website in 94.3% (15,161/16,078) of the sessions. Perceived need (ß=.66; P<.001), outcome expectancies (ß=.49; P<.001), self-efficacy (ß=.44; P<.001), and perceived risk (ß=.17-.18; P<.001) significantly predicted intention, and intention (ß=.77; P<.001) significantly predicted planning. Planning was not significantly associated with choice to engage (ß=.03; P=.18). Within participants who chose to engage, the association between planning with level of engagement was statistically significant (ß=.12; P<.001). Model fit indices for both engagement outcomes were poor, with the adapted HAPA model accounting for only 0.1% and 1.4% of the variance in choice to engage and level of engagement, respectively. CONCLUSIONS: Our data suggest that the HAPA model did not predict engagement with DMH via a self-guided website. More research is needed to identify appropriate theoretical frameworks and practical strategies (eg, digital design) to optimize DMH tool engagement.

Cross-view motion consistent self-supervised video inter-intra contrastive for action representation understanding.

Self-supervised contrastive learning draws on power representational models to acquire generic semantic features from unlabeled data, and the key to training such models lies in how accurately to track motion features. Previous video contrastive learning methods have extensively used spatially or temporally augmentation as similar instances, resulting in models that are more likely to learn static backgrounds than motion features. To alleviate the background shortcuts, in this paper, we propose a cross-view motion consistent (CVMC) self-supervised video inter-intra contrastive model to focus on the learning of local details and long-term temporal relationships. Specifically, we first extract the dynamic features of consecutive video snippets and then align these features based on multi-view motion consistency. Meanwhile, we compare the optimized dynamic features for instance comparison of different videos and local spatial fine-grained with temporal order in the same video, respectively. Ultimately, the joint optimization of spatio-temporal alignment and motion discrimination effectively fills the challenges of the missing components of instance recognition, spatial compactness, and temporal perception in self-supervised learning. Experimental results show that our proposed self-supervised model can effectively learn visual representation information and achieve highly competitive performance compared to other state-of-the-art methods in both action recognition and video retrieval tasks.

An EEG frequency tagging study on biological motion perception in children with DCD.

BACKGROUND: The perception of biological motion requires accurate prediction of the spatiotemporal dynamics of human movement. Research on Developmental Coordination Disorder (DCD) suggests deficits in accurate motor prediction, raising the question whether not just action execution, but also action perception is perturbed in this disorder. AIMS: To examine action perception by comparing the neural response to the observation of apparent biological motion in children with and without DCD. METHODS AND PROCEDURES: Thirty-three participants with and 33 without DCD, matched based on age (13.0 ± 2.0), sex and writing hand, observed sequences of static body postures that showed either fluent or non-fluent motion, in which only the fluent condition depicted apparent biological motion. Using a recently validated paradigm combining EEG frequency tagging and apparent biological motion (Cracco et al., 2023), the perception of biological motion was contrasted with the perception of individual body postures. OUTCOMES AND CONCLUSIONS: Children with DCD did not show reduced sensitivity to apparent biological motion compared with typically developing children. However, the DCD group did show a reduced brain response to repetitive visual stimuli, suggesting altered predictive processing in the perceptual domain in this group. Suggestions for further research on biological motion perception in DCD are identified.

Antifungal properties and molecular docking of ZnO NPs mediated using medicinal plant extracts.

Significant postharvest losses and food safety issues persist in many developing nations, primarily due to fungal activities, including mycotoxin production. In this study, green synthesised zinc oxide nanoparticles (ZnO-NPs) were prepared from leaf extracts of Syzygium cordatum (ZnO 1), Lippia javanica (ZnO 2), Bidens pilosa (ZnO 3), and Ximenia caffra (ZnO 4). Physicochemical characteristics of the ZnO-NPs were determined using X-ray diffraction (XRD), Fourier transmission Infrared spectroscopy and ultraviolet-visible (UV-vis) spectroscopy, scanning electron microscopy (SEM), and transmission electron microscopy (TEM). The XRD analysis confirmed the presence of a wurtzite crystal structure in the hexagonal shape of the ZnO nanoparticles (NPs), with an average size ranging between 25 and 43 nm. The microscopic examination of the morphology revealed the presence of spherical particles with sizes ranging from 37 to 47 nm in diameter. The antifungal efficacy of the ZnO-NPs was assessed against pathogenic plant fungi, including Botrytis sp. (STEU 7866), Penicillium sp. (STEU 7865), and Pilidiella granati (STEU 7864), using the poisoned food technique. Further antifungal evaluation of the ZnOPs was performed using the broth microdilution assay. A significant interaction between the type of ZnO-NPs and fungal species was observed, with the highest susceptibility in Mucor sp. to ZnO 2, achieving over 50% inhibition. Penicillium sp. also showed high susceptibility to all ZnO-NPs. Molecular docking results confirmed the strong H-bonding interactions of ZnO-NPs with fungal receptors in Mucor sp. and Penicillium sp., Botrytis sp. and P. granati exhibited the least susceptibility. Further tests revealed that ZnO 2 exhibited the highest inhibitory effect on Botrytis sp., with a low minimum inhibitory concentration (MIC) of 25 µg/mL, attributed to its larger positive zeta potential. This study indicates that ZnO NPs, particularly those mediated using Lippia javanica (ZnO 2), have promising potential as effective antifungal agents, which could play a significant role in reducing postharvest decay and losses.

Time to retire F1-binary score for action unit detection.

Detecting action units is an important task in face analysis, especially in facial expression recognition. This is due, in part, to the idea that expressions can be decomposed into multiple action units. To evaluate systems that detect action units, F1-binary score is often used as the evaluation metric. In this paper, we argue that F1-binary score does not reliably evaluate these models due largely to class imbalance. Because of this, F1-binary score should be retired and a suitable replacement should be used. We justify this argument through a detailed evaluation of the negative influence of class imbalance on action unit detection. This includes an investigation into the influence of class imbalance in train and test sets and in new data (i.e., generalizability). We empirically show that F1-micro should be used as the replacement for F1-binary.

Large Language Models and OpenLogos: An Educational Case Scenario.

Large Language Models (LLMs) offer advanced text generation capabilities, sometimes surpassing human abilities. However, their use without proper expertise poses significant challenges, particularly in educational contexts. This article explores different facets of natural language generation (NLG) within the educational realm, assessing its advantages and disadvantages, particularly concerning LLMs. It addresses concerns regarding the opacity of LLMs and the potential bias in their generated content, advocating for transparent solutions. Therefore, it examines the feasibility of integrating OpenLogos expert-crafted resources into language generation tools used for paraphrasing and translation. In the context of the Multi3Generation COST Action (CA18231), we have been emphasizing the significance of incorporating OpenLogos into language generation processes, and the need for clear guidelines and ethical standards in generative models involving multilingual, multimodal, and multitasking capabilities. The Multi3Generation initiative strives to progress NLG research for societal welfare, including its educational applications. It promotes inclusive models inspired by the Logos Model, prioritizing transparency, human control, preservation of language principles and meaning, and acknowledgment of the expertise of resource creators. We envision a scenario where OpenLogos can contribute significantly to inclusive AI-supported education. Ethical considerations and limitations related to AI implementation in education are explored, highlighting the importance of maintaining a balanced approach consistent with traditional educational principles. Ultimately, the article advocates for educators to adopt innovative tools and methodologies to foster dynamic learning environments that facilitate linguistic development and growth.

Large Language Models boast advanced text generation quality and capabilities, often surpassing those of humans. However, they also pose significant challenges when used without proper expertise or care. In an educational context, the examination of language generation tools and their use by students is vital for establishing guidelines and a shared understanding of their ethical usage. This article explores several aspects of language generation within an educational context, and showcases the potential use of OpenLogos resources, provided within the framework of the Multi3Generation COST Action (CA18231) in language study and their integration into language learning tools, such as paraphrasing (monolingual) and translation (bilingual or multilingual). This article emphasizes the importance of leveraging OpenLogos in education, especially in language learning or language enhancement contexts. By embracing innovative tools and methodologies, educators can nurture a dynamic and enriching learning environment conducive to linguistic growth and development.

Practice of key essential nutrition action messages and associated factors among mothers of children aged six months to two years old in Karat town, Konso zone, South Ethiopia, 2024: a community-based cross-sectional study.

Background: Key essential nutrition actions (ENA) messages are a comprehensive and evidence-based nutritional package designed to improve the nutritional status during the critical first 1,000 days of life. The poor practice of ENA contributes significantly to mortality and morbidity related to malnutrition in young children. However, there is a dearth of studies focusing on the practice of key ENA messages among mothers and the factors associated with their practice. Therefore, this study aimed to assess the practice of key ENA messages among mothers of children aged 6 months to 2 years in Karat town, Konso zone, South Ethiopia in 2024. Methods: A community-based cross-sectional study involving 421 mothers of children aged 6 months to 2 years was conducted in Karat town, Konso zone, South Ethiopia from January 15 to February 29, 2024. Respondents were chosen using computer-generated random numbers. A structured, pretested, and interviewer-administered questionnaire was used to collect data. Following coding and entry into EpiData 3.1, the data were exported to SPSS version 25 for analysis. Logistic regression (bivariate and multivariable) was employed to identify factors influencing mothers' practice of key ENA messages, and statistical significance was set at p < 0.05 with a 95% confidence interval. Results: The study found that 47.6% (95% CI: 42.8, 52.42%) of mothers demonstrated good practices. Having secondary education or higher, institutional delivery, receiving nutritional counseling during antenatal care (ANC), receipt of postnatal care (PNC) services, having good knowledge, and having a good attitude towards ENA all increase the likelihood of good practice. Conclusion: This study emphasizes the need for multifaceted interventions to improve ENA practice among mothers residing in Karat town. To effectively address this issue, it is crucial to implement targeted education programs, strengthen postnatal care services, and nutritional counseling into routine antenatal care, promote institutional deliveries, and enhance awareness.

Biodegradable magnesium and zinc composite microspheres with synergistic osteogenic effect for enhanced bone regeneration.

Biodegradable polymer microspheres in bone tissue engineering have become appealing as their non-invasive advantages in irregular damage bone repair. However, current microspheres used in BTE still lack sufficient osteogenic capacity to induce effective bone regeneration. In this study, we developed osteogenic composite microspheres concurrently loaded with magnesium oxide (MgO) and zinc oxide (ZnO), both of which are osteogenic active substances, using a facile and scalable emulsification method. The osteogenic composite microspheres exhibited a sequential yet complementary release profile characterized by a rapid release of Mg2+ and a gradual release of Zn2+ in a physiological environment, thereby maintaining the concentration of bioactive ions at a sustained high level. As a result, the combination of Mg2+ and Zn2+ in the composite microspheres led to a synergistic enhancement in biomimetic mineralization and the upregulation in the expression of osteogenic-related genes and proteins at the cellular level. Through a critical-sized calvarial rate defect model, the osteogenic composite microspheres were demonstrated to have strong osteogenic ability to promote new bone formation via ultrasonic imaging, histological and immunohistochemical evaluations. In sum, these osteogenic composite microspheres as microcarriers of Mg2+ and Zn2+ have great potential in the delivery of therapeutic ions for treating bone defects.