Comparative analysis of microbial composition and functional characteristics in dental plaque and saliva of oral cancer patients.

BACKGROUND: The oral cavity is home to various ecological niches, each with its own unique microbial composition. Understanding the microbial communities and gene composition in different ecological niches within the oral cavity of oral cancer (OC) patients is crucial for determining how these microbial populations contribute to disease progression. METHODS: In this study, saliva and dental plaque samples were collected from patients with OC. Metagenomic sequencing was employed to analyze the microbial community classification and functional composition of the different sample groups. RESULTS: The results of the study revealed significant differences in both the function and classification of microbial communities between saliva and dental plaque samples. The diversity of microbial species in saliva was found to be higher compared to  that in plaque samples. Notably, Actinobacteria were enriched in the dental plaque of OC patients. Furthermore, the study identified several inter-group differential marker species, including Prevotella intermedia, Haemophilus parahaemolyticus, Actinomyces radius, Corynebacterium matruchitii, and Veillonella atypica. Additionally, 1,353 differential genes were annotated into 23 functional pathways. Interestingly, a significant correlation was observed between differentially labeled species and Herpes simplex virus 1 (HSV-1) infection, which may be related to the occurrence and development of cancer. CONCLUSIONS: Significant differences in the microbial and genetic composition of saliva and dental plaque samples were observed in OC patients. Furthermore, pathogenic bacteria associated with oral diseases were predominantly enriched in saliva. The identification of inter-group differential biomarkers and pathways provide insights into the relationship between oral microbiota and the occurrence and development of OC.

Surface-mediated fluorescent sensor array for identification of gut microbiota and monitoring of colorectal cancer.

The development of efficient, accurate, and high-throughput technology for gut microbiota sensing holds great promise in the maintenance of health and the treatment of diseases. Herein, we developed a rapid fluorescent sensor array based on surface-engineered silver nanoparticles (AgNPs) and vancomycin-modified gold nanoclusters (AuNCs@Van) for gut microbiota sensing. By controlling the surface of AgNPs, the recognition ability of the sensor can be effectively improved. The sensor array was used to successfully discriminate six gut-derived bacteria, including probiotics, neutral, and pathogenic bacteria and even their mixtures. Significantly, the sensing system has also been successfully applied to classify healthy individuals and colorectal cancer (CRC) patients rapidly and accurately within 30 min, demonstrating its clinically relevant specificity.

Proteomics analysis of enzyme systems and pathway changes during the moromi fermentation of soy sauce mash.

BACKGROUND: During the brewing of soy sauce, the conversion of multiple substances is driven by various microorganisms and their secreted enzyme systems. Soy sauce mash is an important source of enzyme systems during moromi fermentation, but the changes of enzyme systems in soy sauce mash during moromi fermentation are poorly understood. In order to explore the predominant enzyme systems existing during moromi fermentation and to explain the characteristics of the enzyme system changes, an enzymatic activities assay and 4D-label-free proteomics analysis were conducted on soy sauce mash at different stages of fermentation. RESULTS: The activities of hydrolytic enzymes in soy sauce mash decreased continuously throughout the fermentation process, while most of the characteristic physicochemical substances in soy sauce mash supernatant had already accumulated at the early stage of fermentation. Four hydrolytic enzymes were found to be positively correlated with important physicochemical indexes by principal component analysis and Pearson correlation analysis. The proteomics analysis revealed three highly upregulated enzymes and two enzymes that were present in important metabolic pathways throughout the fermentation process. Furthermore, it was found that Aspergillus oryzae was able to accumulate various nutrients in the soy sauce mash by downregulating most of its metabolic pathways. CONCLUSION: Enzymes present with excellent properties during the moromi fermentation period could be obtained from these results. Meanwhile, the characterization of the metabolic pathways of microorganisms during the moromi fermentation period was revealed. The results provide a basis for more scientific and purposeful improvement of moromi fermentation in the future. © 2024 Society of Chemical Industry.

The antibacterial and hemostatic curdlan hydrogel-loading epigallocatechin gallate for facilitating the infected wound healing.

The infected wounds pose one of the major threats to human health today. To address this issue, it is necessary to develop innovative wound dressings with superior antibacterial activity and other properties. Due to its potent antibacterial, antioxidant, and immune-boosting properties, epigallocatechin gallate (EGCG) has been widely utilized. In this study, a multifunctional curdlan hydrogel loading EGCG (Cur-EGCGH3) was designed. Cur-EGCGH3 exhibited excellent physicochemical properties, good biocompatibility, hemostatic, antibacterial, and antioxidant activities. Also, ELISA data showed that Cur-EGCGH3 stimulated macrophages to secrete pro-inflammatory and pro-regenerative cytokines. Cell scratch results indicated that Cur-EGCGH3 promoted the migration of NIH3T3 and HUVECs. In vivo experiments confirmed that Cur-EGCGH3 could inhibit bacterial infection of the infected wounds, accelerate hemostasis, and promote epithelial regeneration and collagen deposition. These results demonstrated that Cur-EGCGH3 holds promise for promoting healing of the infected wounds.

The chromosome-scale genome of wild Brassica oleracea provides insights into the domestication of Brassica plants.

The cultivated diploid Brassica oleracea is an important vegetable crop, but the genetic basis of domestication remains largely unclear without high-quality reference genomes of wild B. oleracea. Here, we report the first chromosome-level assembly of the wild Brassica oleracea L. W03 genome, (total genome size, 630.7 Mb; scaffold N50, 64.6 Mb). Using newly assembled W03 genome, we constructed a gene-based B. oleracea pangenome and identified 29,744 core genes, 23,306 dispensable genes, and 1,896 private genes. We resequenced 53 accessions, which represent six potential wild B. oleracea progenitor species. The results of the population genomic analysis showed that wild B. oleracea population had the highest level of diversity and represented the more closely related population of horticultural B. oleracea. Additionally, the WUSCHEL gene was found to play a decisive role in domestication and to be involved in cauliflower and broccoli curd formation. We also illustrate the loss of disease resistance genes during domestication selection. Our results provide deep insights into B. oleracea domestication and will facilitate Brassica crop genetic improvement.

Human amniotic MSCs-mediated anti-inflammation of CD206hiIL-10hi macrophages alleviates isoproterenol-induced ventricular remodeling in mice.

BACKGROUND: Human amniotic mesenchymal stem cells (hAMSCs) derived from amniotic membrane have multilineage differentiation, immunosuppressive, and anti-inflammation which makes them suitable for the treatment of various diseases. OBJECTIVE: This study aimed to explore the therapeutic effect and molecular mechanism of hAMSCs in ventricular remodeling (VR). METHODS: hAMSCs were characterized by a series of experiments such as flow cytometric analysis, immunofluorescence, differentiative induction and tumorigenicity. Mouse VR model was induced by isoproterenol (ISO) peritoneally, and the therapeutic effects and the potential mechanisms of hAMSCs transplantation were evaluated by echocardiography, carboxy fluorescein diacetate succinimidyl ester (CFSE) labeled cell tracing, histochemistry, qRT-PCR and western blot analysis. The co-culturing experiments were carried out for further exploring the mechanisms of hAMSCs-derived conditioned medium (CM) on macrophage polarization and fibroblast fibrosis in vitro. RESULTS: hAMSCs transplantation significantly alleviated ISO-induced VR including cardiac hypertrophy and fibrosis with the improvements of cardiac functions. CFSE labeled hAMSCs kept an undifferentiated state in heart, indicating that hAMSCs-mediated the improvement of ISO-induced VR might be related to their paracrine effects. hAMSCs markedly inhibited ISO-induced inflammation and fibrosis, seen as the increase of M2 macrophage infiltration and the expressions of CD206 and IL-10, and the decreases of CD86, iNOS, COL3 and αSMA expressions in heart, suggesting that hAMSCs transplantation promoted the polarization of M2 macrophages and inhibited the polarization of M1 macrophages. Mechanically, hAMSCs-derived CM significantly increased the expressions of CD206, IL-10, Arg-1 and reduced the expressions of iNOS and IL-6 in RAW264.7 macrophages in vitro. Interestingly, RAW264.7-CM remarkably promoted the expressions of anti-inflammatory factors such as IL-10, IDO, and COX2 in hAMSCs. Furthermore, the CM derived from hAMSCs pretreated with RAW264.7-CM markedly inhibited the expressions of fibrogenesis genes such as αSMA and COL3 in 3T3 cells. CONCLUSION: Our results demonstrated that hAMSCs effectively alleviated ISO-induced cardiac hypertrophy and fibrosis, and improved the cardiac functions in mice, and the underlying mechanisms might be related to inhibiting the inflammation and fibrosis during the ventricular remodeling through promoting the polarization of CD206hiIL-10hi macrophages in heart tissues. Our study strongly suggested that by taking the advantages of the potent immunosuppressive and anti-inflammatory effects, hAMSCs may provide an alternative therapeutic approach for prevention and treatment of VR clinically.

Improving pulmonary infection diagnosis with metagenomic next-generation sequencing of bronchoalveolar lavage fluid.

Introduction. Inappropriate use of antibiotics and inadequate therapeutic regimens for early-stage pulmonary infections are major contributors to increased prevalence of complications and mortality. Moreover, due to the limitations in sensitivity of conventional testing, there is an urgent need for more diagnostically efficient methods for the detection and characterization of pathogens in pulmonary infections.Hypothesis/Gap Statement. Metagenomic next-generation sequencing (mNGS) can contribute to the diagnosis and management of pulmonary infections.Aim. This study aimed to evaluate the clinical application and value of mNGS in the diagnosis of clinically suspected pulmonary infections by comparing with conventional testing.Methodology. In this study, the diagnosis performance of mNGS was evaluated using bronchoalveolar lavage fluid (BALF) samples from 143 patients with suspected lung infections. First, we conducted a prospective study on 31 patients admitted to Yuebei People's Hospital Affiliated to Shantou University Medical College to investigate the clinical value. Then a retrospective analysis was performed by including more patients (n=112) to reduce the random error. Pathogens were detected by mNGS and conventional methods (culture and PCR). Then, the types and cases of detected pathogens, as well as the specificity and sensitivity, were compared between the two methods. We evaluated the performance of mNGS in detecting bacterial, fungal, viral and mixed infections in BALF. The effect of disease severity in pulmonary infections on the integrity of mNGS pathogen detection was also explored.Results. The mNGS provided an earlier and more comprehensive pathogen profile than conventional testing, which in turn prompted a change in clinical medication, which led to improvement in eight patients (8/31=25.81 %) in the presence of other serious comorbidities. In a retrospective analysis, mNGS was much more sensitive than conventional testing in the diagnosis of pulmonary infections (95.33 % vs. 55.56 %; P<0.001), with a 39.77 % increase in sensitivity. The detection rate of mNGS for mixed infections was significantly higher than that of conventional testing methods for both common and severe pneumonia (48/67=71.64 % vs. 12/52=23.08 %, P<0.001; 44/59=74.58 % vs. 11/59=18.64 %, P<0.0001).Conclusion. The sensitivity of mNGS in the diagnosis of pathogenic microorganisms in pulmonary infections far exceeds that of conventional culture tests. As a complementary method to conventional methods, mNGS can help improve the diagnosis of pulmonary infections. In addition, mNGS pathogen integrity detection rate was similar in common and severe pneumonia. We recommend the prompt use of mNGS when mixed or rare pathogen infections are suspected, especially in immunocompromised individuals and/or critically ill individuals.

Boronic Acid-Decorated Carbon Dot-Based Semiselective Multichannel Sensor Array for Cytokine Discrimination and Oral Cancer Diagnosis.

Cytokines are essential components of the immune system and are recognized as significant biomarkers. However, detection of a single cytokine is not precise and reliable enough to satisfy the requirements for diagnosis. Herein, we developed a pattern recognition-based method for the multiplexed sensing of cytokines, which involves three-color-emitting boronic acid-decorated carbon dots (BCDs) and arginine-modified titanium carbide (Ti3C2 MXenes) as the sensor array. Initially, the fluorescence signals of the three BCDs were quenched by Ti3C2 MXenes. In the presence of cytokines, the fluorescence intensity of the BCDs was restored or further quenched by different cytokines. The fluorescence response occurs in two steps: first, boronic acid interacts with cis-diol functional groups of cytokines, and second, arginine headgroup selectively interacts with glycans. By exploiting the different competing binding of the BCDs and the cytokines toward Ti3C2 MXenes, seven cytokines and their mixtures can be effectively discriminated at a concentration of 20 ng mL-1. Furthermore, our sensor array demonstrated an excellent performance in classifying human oral cancer saliva samples from healthy individuals with clinically relevant specificity. The noninvasive method offers a rapid approach to cytokine analysis, benefiting early and timely clinical diagnosis and treatment.

Lightweight neural network for Alzheimer's disease classification using multi-slice sMRI.

Alzheimer's disease (AD) is a progressive neurodegenerative disease. Early detection and intervention are crucial in preventing the progression of AD. To achieve efficient and scalable AD auto-detection based on structural Magnetic Resonance Imaging (sMRI), a lightweight neural network using multi-slice sMRI is proposed in this paper. The backbone for feature extraction is based on ShuffleNet V1 architecture, which is effective for overcoming the limitations posed by limited sMRI data and resource-restricted devices. In addition, we incorporate Efficient Channel Attention (ECA) to capture cross-channel interaction information, enabling us to effectively enhance features of disease associated brain regions. To optimize the model, we employ both cross entropy loss and triplet loss functions to constrain the predicted probabilities to the ground-truth labels, and to ensure appropriate representation of distances between different classes in the learned features. Experimental results show that the classification accuracies of our method for AD vs. CN, AD vs. MCI, and MCI vs. CN classification tasks are 95.00%, 87.50%, and 85.62% respectively. Our method utilizes only 3.42 M parameters and 6.08G FLOPs, while maintaining a comparable level of performance compared to the other 5 latest lightweight methods. This model design is computationally efficient, allowing it to process large amounts of data quickly and accurately in a timely manner. Additionally, it has the potential to advance the intelligent detection of Alzheimer's disease on devices with limited computing capabilities.

let-7g sensitized liver cancer cells to 5-fluorouracil by downregulating ABCC10 expression.

Patients with advanced liver cancer may benefit from 5-fluorouracil (5-FU) therapy. However, most of them eventually faced drug resistance, resulting in a poor prognosis. The present study aims to explore the potential mechanism of let-7g/ABCC10 axis in the regulation of 5-FU resistance in liver cancer cells. Huh-7 cells were used to construct 5-FU resistant Huh-7/4X cells. CCK8, flow cytometry, and TUNEL staining were used to detect the characterization of Huh-7 cells and Huh-7/4X cells. Double luciferase report, PCR, and western blot analyses were used to detect the regulatory effects between let-7g and ABCC10. The levels of biomarkers related to cell cycle progression and apoptosis were detected by western blot assays. The role of let-7g in 5-FU sensitivity of liver cancer cells was evaluated in nude mice. Compared with LX-2 cells, the expression of let-7g was decreased in Hep3B, HepG2, Huh-7, and SK-Hep1 cells, with the lowest expression in Huh-7 cells. The sensitivity of Huh-7 cell to 5-FU was positively correlated with let-7g expression. Transfection of let-7g mimics inhibited the viability of Huh-7/4X cells by prolonging the G1 phase, with the downregulation of ABCC10, PCNA, Cyclin D1, and CDK4. Meanwhile, let-7g promoted apoptosis to increase 5-FU sensitivity of Huh-7/4X by downregulating ABCC10, Bcl-XL as well as upregulating Bax, C-caspase 3, and C-PARP. Dual-luciferase assay further confirmed that let-7g inhibited ABCC10 expression by binding to the ABCC10 3'-UTR region. Furthermore, let-7g increased the sensitivity of Huh-7/4X to 5-FU in vitro and in vivo, which can be reversed by ABCC10 overexpression. In conclusion, let-7g sensitized liver cancer cells to 5-FU by downregulating ABCC10 expression.

Overexpression of efflux pump genes is one of the mechanisms causing drug resistance in Mycobacterium tuberculosis.

IMPORTANCE: Gene mutations cannot explain all drug resistance of Mycobacterium tuberculosis, and the overexpression of efflux pump genes is considered another important cause of drug resistance. A total of 46 clinical isolates were included in this study to analyze the overexpression of efflux pump genes in different resistant types of strains. The results showed that overexpression of efflux pump genes did not occur in sensitive strains. There was no significant trend in the overexpression of efflux pump genes before and after one-half of MIC drug induction. By adding the efflux pump inhibitor verapamil, we can observe the decrease of MIC of some drug-resistant strains. At the same time, this study ensured the reliability of calculating the relative expression level of efflux pump genes by screening reference genes and using two reference genes for the normalization of quantitative PCR. Therefore, this study confirms that the overexpression of efflux pump genes plays an important role in the drug resistance of clinical isolates of Mycobacterium tuberculosis.

Protocol for assessing neighborhood physical disorder using the YOLOv8 deep learning model.

Neighborhood physical disorder (PD), characterized by disruptions and irregularities in spatial elements, is associated with negative economic, social, and public health outcomes. Here, we present a protocol to quantitatively assess PD utilizing a range of metrics. We describe steps for collecting street views, constructing detection models using the YOLOv8 deep learning model, calculating PD scores, and quantifying changes in PD across streets and cites. This protocol serves as a methodological foundation for assessing PD in different countries and regions. For complete details on the use and execution of this protocol, please refer to Chen et al.1.

In Situ Chiral Template Approach to Synthesize Homochiral Lead Iodides for Second-Harmonic Generation.

Homochiral halide perovskites have gained increasing attention because of their fascinating optoelectronic properties and prospective applications in laser technologies. However, the limited choice of chiral organic templates severely restricts their structural diversity and second-harmonic generation (SHG) effects. Here, we present an in situ chiral template approach for the synthesis of one-dimensional (1D) homochiral lead iodides. A chiral imine (L-ipp) template was generated in situ by reacting L-proline (L-pro) and acetone under ambient conditions. Notably, L-ipp can cooperate with L-pro to direct the formation of a homochiral lead iodide with dual chiral templates, which is unprecedented in crystalline metal halides. The homochiral lead iodide containing both L-ipp and L-pro shows a strong SHG response of 8.0 times that of KH2 PO4 (8.0×KDP). The SHG efficiency is one of the largest values reported to date for any homochiral lead halides under 1064 nm laser irradiation. A comparative study shows that homochiral 1D lead iodides containing either L-ipp or L-pro exhibit relatively weak SHG responses (≤1.0×KDP). This work demonstrates the advantage of using two different chiral templates over a single chiral template in enhancing the SHG responses of halide materials.

Cancer susceptibility 18 positively regulates NUAK Family Kinase 1 expression to promote migration and invasion via sponging of miR-5586-5p in cervical cancer cells.

INTRODUCTION: Cervical squamous cell carcinoma (CESC) is the most common gynecological malignancy worldwide. Although the cancer susceptibility 18 (CASC18) gene was involved in the regulation of cancer biology, its specific role in CESC is not well characterized. METHODS: CASC18-related axis was predicted by bioinformatic analyses, and the competing endogenous RNA (ceRNA) interaction was further validated using quantitative real-time PCR, western blotting, RNA pulldown, and luciferase reporter assays. Transwell and wound healing assays were performed to verify the effect of CASC18 on SiHa and HeLa cell motility. RESULTS: We found that CASC18 was upregulated in CESC tissues. Moreover, interference with CASC18 attenuated NUAK1-mediated epithelial-mesenchymal transition (EMT) and thus suppressed cancer cell motility. Furthermore, the effects of CASC18 knockdown on CESC cells were partly rescued by transfection with the miR-5586-5p inhibitor. Additionally, our findings indicated that CASC18 acts as a ceRNA to enhance NUAK1 expression by sponging miR-5586-5p. CONCLUSION: Our study showed a novel CASC18/miR-5586-5p/NUAK1 ceRNA axis that could regulate cell invasion and migration by modulating EMT in CESC. These findings suggest that CASC18 may potentially serve as a novel therapeutic target in CESC treatment.

China's public health initiatives for climate change adaptation.

China's health gains over the past decades face potential reversals if climate change adaptation is not prioritized. China's temperature rise surpasses the global average due to urban heat islands and ecological changes, and demands urgent actions to safeguard public health. Effective adaptation need to consider China's urbanization trends, underlying non-communicable diseases, an aging population, and future pandemic threats. Climate change adaptation initiatives and strategies include urban green space, healthy indoor environments, spatial planning for cities, advance location-specific early warning systems for extreme weather events, and a holistic approach for linking carbon neutrality to health co-benefits. Innovation and technology uptake is a crucial opportunity. China's successful climate adaptation can foster international collaboration regionally and beyond.

Two van der Waals Layered Antimony(III) Phosphites as UV Optical Materials.

Herein, two new Sb3+-based phosphites, Sb2O2(HPO3) (I) and Sb2O(HPO3)2 (II), were successfully obtained by ingeniously combining Sb3+-based polyhedra containing stereochemically active lone pair (SCALP) and HPO3 polar groups. Both reported compounds exhibit unique 2D van der Waals layered structures, [Sb4O4(HPO3)2]∞ and [Sb2O(HPO3)2]∞, respectively, which favors compounds with large optical anisotropy. Interestingly, the different curvatures of the two layers resulted in the two title compounds showing significantly different birefringences (0.079@546 and 0.046@546 nm, respectively). Both compounds endow wide optical band gaps (4.32 and 4.54 eV, respectively), which indicates their potential as promising ultraviolet (UV) birefringent crystals. The synthesis of the two title compounds enriched Sb3+-based phosphites in the UV region and provided guidance for the subsequent synthesis of superior optical materials.

Engineering cannabidiol synergistic carbon monoxide nanocomplexes to enhance cancer therapy via excessive autophagy.

Although carbon monoxide (CO)-based treatments have demonstrated the high cancer efficacy by promoting mitochondrial damage and core-region penetrating ability, the efficiency was often compromised by protective autophagy (mitophagy). Herein, cannabidiol (CBD) is integrated into biomimetic carbon monoxide nanocomplexes (HMPOC@M) to address this issue by inducing excessive autophagy. The biomimetic membrane not only prevents premature drugs leakage, but also prolongs blood circulation for tumor enrichment. After entering the acidic tumor microenvironment, carbon monoxide (CO) donors are stimulated by hydrogen oxide (H2O2) to disintegrate into CO and Mn2+. The comprehensive effect of CO/Mn2+ and CBD can induce ROS-mediated cell apoptosis. In addition, HMPOC@M-mediated excessive autophagy can promote cancer cell death by increasing autophagic flux via class III PI3K/BECN1 complex activation and blocking autolysosome degradation via LAMP1 downregulation. Furthermore, in vivo experiments showed that HMPOC@M+ laser strongly inhibited tumor growth and attenuated liver and lung metastases by downregulating VEGF and MMP9 proteins. This strategy may highlight the pro-death role of excessive autophagy in TNBC treatment, providing a novel yet versatile avenue to enhance the efficacy of CO treatments. Importantly, this work also indicated the applicability of CBD for triple-negative breast cancer (TNBC) therapy through excessive autophagy.

Biomimetic Prussian blue nanocomplexes for chemo-photothermal treatment of triple-negative breast cancer by enhancing ICD.

Drug-induced immunogenic cell death (ICD) can efficiently inhibit tumor growth and recurrence through the release of tumor-associated antigens which activate both local and systemic immune responses. Pyroptosis has emerged as an effective means for inducing ICD; however, the development of novel pyroptosis inducers to specifically target tumor cells remains a pressing requirement. Herein, we report that Cinobufagin (CS-1), a main ingredient of Chansu, can effectively induce pyroptosis of triple-negative breast cancer (TNBC) cells, making it a potential therapeutic agent for this kind of tumor. However, the application of CS-1 in vivo is extremely limited by the high dosage/long-term usage and non-selectivity caused by systemic toxicity. To address these drawbacks, we developed a new nanomedicine by loading CS-1 into Prussian blue nanoparticles (PB NPs). The nanomedicine can release CS-1 in a photothermal-controlled manner inherited in PB NPs. Furthermore, hybrid membrane (HM) camouflage was adopted to improve the immune escape and tumor-targeting ability of this nanomedicine, as well. In vitro assays demonstrated that the chemo-photothermal combination treatment produced high-level ICD, ultimately fostering the maturation of dendritic cells (DCs). In vivo anti-tumor assessments further indicated that this strategy not only efficiently inhibited primary growth of MDA-MB-231 cells and 4T1 cells-bearing models but also efficiently attenuated distant tumor growth in 4T1 xenograft model. This was mechanistically achieved throuh the promotion of DCs maturation, infiltration of cytotoxic T lymphocyte into the tumor, and the inhibition of Treg cells. In summary, this work provides a novel strategy for efficient TNBC therapy by using nanomaterials-based multimodal nanomedicine through rational design.

Nonoptimum Temperatures Are More Closely Associated With Fatal Myocardial Infarction Than With Nonfatal Events.

BACKGROUND: Ambient temperatures trigger hospitalisation, mortality, and emergency department visits for myocardial infarction (MI). However, nonoptimum temperature-related risks of fatal and nonfatal MI have not yet been compared. METHODS: From 2007 to 2019, 416,894 MI events (233,071 fatal and 183,823 nonfatal) were identified in Beijing, China. A time-series analysis with a distributed-lag nonlinear model was used to compare the relative and population-attributable risks of fatal and nonfatal MI associated with nonoptimum temperatures. RESULTS: The reference was the optimum temperature of 24.3°C. For single-lag effects, cold (-5.2°C) and heat (29.6°C) effects had associations that persisted for more days for fatal MI than for nonfatal MI. For cumulative-lag effects over 0 to 21 days, cold effects were higher for fatal MI (relative risk [RR] 1.99, 95% confidence interval [CI] 1.68-2.35) than for nonfatal MI (RR 1.60, 95% CI 1.32-1.94) with a P value for difference in effect sizes of 0.048. In addition, heat effects were higher for fatal MI (RR 1.33, 95% CI 1.24-1.44) than for nonfatal MI (RR 0.99, 95% CI 0.91-1.08) with a P value for difference in effect sizes of 0.002. The attributable fraction of nonoptimum temperatures was higher for fatal MI (25.6%, 95% CI 19.7%-30.6%) than for nonfatal MI (19.1%, 95% CI 12.1%-25.0%). CONCLUSIONS: Fatal MI was more closely associated with nonoptimum temperatures than nonfatal MI, as evidenced by single-lag effects that have associations which persisted for more days, higher cumulative-lag effects, and higher attributable risks for fatal MI. Strategies are needed to mitigate the adverse effects of nonoptimum temperatures.