Engineering high production of fatty alcohols from methanol by constructing coordinated dual biosynthetic pathways.

Microbial cell factories provide an efficient approach for the green manufacturing of chemicals. However, the excessive use of sugars increases the potential risk of food crisis. Methanol, an abundant feedstock, holds promise in facilitating low-carbon production processes. However, the current methanol bioconversion is hindered by limited regulatory strategies and relatively low conversion efficiency. Here, a yeast biocatalyst was extensively engineered for efficient biosynthesis of fatty alcohols through reinforcement of precursor supply and methanol assimilation in Pichia pastoris. Furthermore, the dual cytoplasmic and peroxisomal biosynthetic pathways were constructed by mating and exhibited robust production of 5.6 g/L fatty alcohols by using methanol as the sole carbon source. This study provides a heterozygous diploid P. pastoris strain with dual cytoplasmic and peroxisomal biosynthetic pathways, which achieved the highest fatty alcohol production from one-carbon feedstocks to date.

Engineering yeast for high-level production of ß-farnesene from sole methanol.

Methanol, a rich one-carbon feedstock, can be massively produced from CO2 by the liquid sunshine route, which is helpful to realize carbon neutrality. ß-Farnesene is widely used in the production of polymers, surfactants, lubricants, and also serves as a suitable substitute for jet fuel. Constructing an efficient cell factory is a feasible approach for ß-farnesene production through methanol biotransformation. Here, we extensively engineered the methylotrophic yeast Ogataea polymorpha for the efficient bio-production of ß-farnesene using methanol as the sole carbon source. Our study demonstrated that sufficient supply of precursor acetyl-CoA and cofactor NADPH in an excellent yeast chassis had a 1.3-fold higher ß-farnesene production than that of wild-type background strain. Further optimization of the mevalonate pathway and enhancement of acetyl-CoA supply led to a 7-fold increase in ß-farnesene accumulation, achieving the highest reported sesquiterpenoids production (14.7 g/L with a yield of 46 mg/g methanol) from one-carbon feedstock under fed-batch fermentation in bioreactor. This study demonstrates the great potential of engineering O. polymorpha for high-level terpenoid production from methanol.

Engineering a versatile yeast platform for sesquiterpene production from glucose or methanol.

Natural sesquiterpene are valuable compounds with diverse applications in industries, such as cosmetics and energy. Microbial synthesis offers a promising way for sesquiterpene production. Methanol, can be synthesized from CO2 and solar energy, serves as a sustainable carbon source. However, it is still a challenge to utilize methanol for the synthesis of value-added compounds. Pichia pastoris (syn. Komagataella phaffii), known for its efficient utilization of glucose and methanol, has been widely used in protein synthesis. With advancements in technology, P. pastoris is gradually engineered for chemicals production. Here, we successfully achieved the synthesis of α-bisabolene in P. pastoris with dual carbon sources by expressing the α-bisabolene synthase gene under constitutive promoters. We systematically analyzed the effects of different steps in the mevalonate (MVA) pathway when methanol or glucose was used as the carbon source. Our finding revealed that the sesquiterpene synthase module significantly increased the production when methanol was used. While the metabolic modules MK and PMK greatly improved carbon source utilization, cell growth, and titer when glucose was used. Additionally, we demonstrated the synthesis of ß-farnesene from dual carbon source by replacing the α-bisabolene synthase with a ß-farnesene synthase. This study establishes a platform strain that is capable to synthesize sesquiterpene from different carbon sources in P. pastoris. Moreover, it paves the way for the development of P. pastoris as a high-efficiency microbial cell factory for producing various chemicals, and lays foundation for large-scale synthesis of high value-added chemicals efficiently from methanol in P. pastoris.

Takotsubo Syndrome in Patients With COVID-19: A Systematic Review.

Background: Respiratory conditions are major physical triggers of takotsubo syndrome (TTS) and portend worse outcomes. However, data on TTS in patients with coronavirus disease-2019 infection (COVID-19) are limited. Methods: We searched PubMed, Embase, and Cochrane Library databases for case reports for the period 2019-2022 describing TTS in patients with COVID-19 pneumonia (TTS-COVID). We summarized the clinical data and outcomes and compared them to those in patients with TTS with an acute respiratory disease other than COVID-19 as a trigger (TTS-acute respiratory disease) and those with TTS with no respiratory disease (TTS-no respiratory disease). Results: The mortality rate was higher in those with TTS-COVID (26.0%) than those with TTS-acute respiratory disease (5.7%) or TTS-no respiratory disease (4.2%; P < 0.001 for both). The proportion of men was higher in TTS-COVID (33.3%) than it was in TTS-no respiratory disease (9.1%; P < 0.001). The manifestations of TTS in COVID patients were atypical (dyspnea [70.3%] and cough [40.6%]); few had chest pain (23.4%). Cardiovascular risk factors were common in the TTS-COVID cohort, but fewer patients were on cardioprotective medications in this group than in the other 2 groups. Level of catecholamine use was higher in the TTS-COVID group (37.7%) than it was in the TTS-no respiratory disease (10.9%; P < 0.001) group. Apical ballooning (72.6%) was the most common TTS subtype, and basal segment type was seen in 11.0% of TTS-COVID patients. Conclusions: COVID-19 patients who developed TTS had high mortality rates and unique features, compared with those in the TTS-acute respiratory disease group or the TTS-no respiratory disease group. Understanding the pathophysiology of TTS in COVID-19 may help prevent TTS and direct therapy in this setting.

Contexte: Les troubles respiratoires sont des déclencheurs physiques importants du syndrome de Takotsubo (STT) et présagent une issue funeste. Les données sur le STT chez les personnes ayant contracté la maladie à coronavirus de 2019 (COVID-19) sont néanmoins limitées. Méthodologie: Nous avons fait une recherche dans les bases de données PubMed, Embase et Cochrane Library pour trouver des rapports de cas signalés entre 2019 et 2022 faisant état du STT chez des patients ayant contracté une pneumonie associée à la COVID-19 (STT-COVID). Nous avons synthétisé les données cliniques et les résultats pour les comparer à ceux de patients atteints du STT déclenché par une autre maladie respiratoire aiguë que la COVID-19 (STT-maladie respiratoire aiguë) et de patients atteints du STT sans maladie respiratoire (STT-sans maladie respiratoire). Résultats: Le taux de mortalité a été plus élevé chez les patients atteints du STT-COVID (26,0 %) que chez ceux atteints du STT-maladie respiratoire aiguë (5,7 %) ou du STT-sans maladie respiratoire (4,2 %; p < 0,001 dans les deux cas). La proportion d'hommes était plus élevée dans le groupe STT-COVID (33,3 %) que dans le groupe STT-sans maladie respiratoire (9,1 %; p < 0,001). Les manifestations du STT chez les patients atteints de la COVID étaient atypiques (dyspnée [70,3 %] et toux [40,6 %]); quelques patients présentaient une douleur thoracique (23,4 %). Les facteurs de risque cardiovasculaires étaient courants dans la cohorte STT-COVID, mais les patients qui prenaient des médicaments cardioprotecteurs étaient moins nombreux dans ce groupe que dans les deux autres groupes. Le taux d'utilisation de la catécholamine était plus élevé dans le groupe STT-COVID (37,7 %) que dans le groupe STT-sans maladie respiratoire (10,9 %; p < 0,001). La ballonisation de l'apex (72,6 %) était le sous-type de STT le plus courant, et le type caractérisé par un trouble du segment basal a été observé chez 11,0 % des patients atteints du STT-COVID. Conclusions: Les patients atteints de la COVID-19 ayant développé un STT présentaient des taux de mortalité élevés et des manifestations singulières, comparativement à ceux du groupe STT-maladie respiratoire aiguë ou du groupe STT-sans maladie respiratoire. Comprendre la physiopathologie du STT chez les patients atteints de la COVID-19 pourrait contribuer à prévenir le STT et à orienter le traitement dans ce contexte.

Evaluation of vaccine candidates against Rhodococcus equi in BALB/c mice infection model: cellular and humoral immune responses.

Rhodococcus equi (R. equi) is a zoonotic opportunistic pathogen that mainly causes fatal lung and extrapulmonary abscesses in foals and immunocompromised individuals. To date, no commercial vaccine against R. equi exists. We previously screened all potential vaccine candidates from the complete genome of R. equi using a reverse vaccinology approach. Five of these candidates, namely ABC transporter substrate-binding protein (ABC transporter), penicillin-binding protein 2 (PBD2), NlpC/P60 family protein (NlpC/P60), esterase family protein (Esterase), and M23 family metallopeptidase (M23) were selected for the evaluation of immunogenicity and immunoprotective effects in BALB/c mice model challenged with R. equi. The results showed that all five vaccine candidate-immunized mice experienced a significant increase in spleen antigen-specific IFN-γ- and TNF-α-positive CD4 + and CD8 + T lymphocytes and generated robust Th1- and Th2-type immune responses and antibody responses. Two weeks after the R. equi challenge, immunization with the five vaccine candidates reduced the bacterial load in the lungs and improved the pathological damage to the lungs and livers compared with those in the control group. NlpC/P60, Esterase, and M23 were more effective than the ABC transporter and PBD2 in inducing protective immunity against R. equi challenge in mice. In addition, these vaccine candidates have the potential to induce T lymphocyte memory immune responses in mice. In summary, these antigens are effective candidates for the development of protective vaccines against R. equi. The R. equi antigen library has been expanded and provides new ideas for the development of multivalent vaccines.

Engineering Yeast Peroxisomes for α-Bisabolene Production from Sole Methanol with the Aid of Proteomic Analysis.

Microbial metabolic engineering provides a feasible approach to sustainably produce advanced biofuels and biochemicals from renewable feedstocks. Methanol is an ideal feedstock since it can be massively produced from CO2 through green energy, such as solar energy. However, engineering microbes to transform methanol and overproduce chemicals is challenging. Notably, the microbial production of isoprenoids from methanol is still rarely reported. Here, we extensively engineered Pichia pastoris (syn. Komagataella phaffii) for the overproduction of sesquiterpene α-bisabolene from sole methanol by optimizing the mevalonate pathway and peroxisomal compartmentalization. Furthermore, through label-free quantification (LFQ) proteomic analysis of the engineered strains, we identified the key bottlenecks in the peroxisomal targeting pathway, and overexpressing the limiting enzyme EfmvaE significantly improved α-bisabolene production to 212 mg/L with the peroxisomal pathway. The engineered strain LH122 with the optimized peroxisomal pathway produced 1.1 g/L α-bisabolene under fed-batch fermentation in shake flasks, achieving a 69% increase over that of the cytosolic pathway. This study provides a viable approach for overproducing isoprenoid from sole methanol in engineered yeast cell factories and shows that proteomic analysis can help optimize the organelle compartmentalized pathways to enhance chemical production.

Aqueous Grown Quantum Dots with Robust Near-Infrared Fluorescence for Integrated Traumatic Brain Injury Diagnosis and Surgical Monitoring.

Surgical intervention is the most common first-line treatment for severe traumatic brain injuries (TBIs) associated with high intracranial pressure, while the complexity of these surgical procedures often results in complications. Surgeons often struggle to comprehensively evaluate the TBI status, making it difficult to select the optimal intervention strategy. Here, we introduce a fluorescence imaging-based technology that uses high-quality silver indium selenide-based quantum dots (QDs) for integrated TBI diagnosis and surgical guidance. These engineered, poly(ethylene glycol)-capped QDs emit in the near-infrared region, are resistant to phagocytosis, and importantly, are ultrastable after the epitaxial growth of an aluminum-doped zinc sulfide shell in the aqueous phase that renders the QDs resistant to long-term light irradiation and complex physiological environments. We found that intravenous injection of QDs enabled both the precise diagnosis of TBI in a mouse model and, more importantly, the comprehensive evaluation of the TBI status before, during, and after an operation to distinguish intracranial from superficial hemorrhages, provide real-time monitoring of the secondary hemorrhage, and guide the decision making on the evacuation of intracranial hematomas. This QD-based diagnostic and monitoring system could ultimately complement existing clinical tools for treating TBI, which may help surgeons improve patient outcomes and avoid unnecessary procedures.

ggVennDiagram: Intuitive Venn diagram software extended.

Highlights of ggVennDiagram include: (1) Subset/Region filling Venn diagram up to seven sets; (2) Upset plot with unlimited sets; (3) Venn Calculator for two or more sets; (4) Provide as R package, Shiny App, and TBtools plugin.

All-optical polarization scrambler based on polarization beam splitting with an amplified fiber ring.

Optical-fiber-based polarization scramblers can reduce the impact of polarization sensitive performance of various optical fiber systems. Here, we propose a simple and efficient polarization scrambler based on an all-optical Mach-Zehnder structure by combining a polarization beam splitter and an amplified fiber ring. To totally decoherence one polarization split beam, a fiber ring together with an amplifier is incorporated. The ratio of two orthogonal beams can be controlled by varying the amplification factor, and we observe different evolution trajectories of the output state of polarizations on the Poincaré sphere. When the amplification factor exceeds a certain threshold, the scrambler system exhibits nearly ideal polarization scrambling behavior. A commercial single wavelength laser with a linewidth of 3 MHz is utilized to characterize the scrambling performance. We found that when the sampling rate is 1.6 MSa/s, a scrambling speed up to 2000krad/s can be obtained for the average degree of polarization being less than 0.1. We also exploit these random polarization fluctuations to generate random binary numbers, indicating that the proposed technique is a good candidate for a random bit generator.

Value of cognitive fusion targeted and standard systematic transrectal prostate biopsy for prostate cancer diagnosis.

ABSTRACT: The aim of this study was to compare the accuracies of cognitive fusion-guided targeted biopsy (TB), systematic biopsy (SB), and combined TB+SB for the detection of prostate cancer (PCa) and clinically significant PCa (csPCa) in males with lesions detected by magnetic resonance imaging (MRI). We conducted a retrospective analysis of individuals who underwent prostate biopsy at Peking University People's Hospital (Beijing, China), with an emphasis on patients with both transrectal TB and SB. The main objective was to determine the precisions of SB, TB, and TB+SB for diagnosing PCa and csPCa. We also evaluated the detection rates of TB, SB, TB+ipsilateral-SB (ipsi-SB), TB+contralateral-SB (contra-SB), and TB+SB for PCa and csPCa in patients with unilateral MRI lesions. We compared the diagnostic yields of the various biopsy schemes using the McNemar's test. A total of 180 patients were enrolled. The rates of PCa detection using TB, SB, and TB+SB were 52.8%, 62.2%, and 66.7%, respectively, and the corresponding rates for csPCa were 46.1%, 56.7%, and 58.3%, respectively. Among patients with unilateral MRI lesions, the PCa detection rates for TB, SB, TB+ipsi-SB, TB+contra-SB, and TB+SB were 53.3%, 64.8%, 65.6%, 61.5%, and 68.0%, respectively. TB+ipsi-SB detected 96.4% of PCa and 95.9% of csPCa cases. These findings suggest that the combination of TB+SB has better diagnostic accuracy compared with SB or TB alone. For patients with unilateral MRI lesions, the combination of TB+ipsi-SB may be suitable in clinical settings.

Trade-off between Pore-Throat Structure and Mineral Composition in Modulating the Stability of Soil Organic Carbon.

The preservation of soil organic carbon (OC) is an effective way to decelerate the emission of CO2 emission. However, the coregulation of pore structure and mineral composition in OC stabilization remains elusive. We employed the in situ nondestructive oxidation of OC by low-temperature ashing (LTA) combined with near edge X-ray absorption fine structure (NEXAFS), high-resolution microtomography (µ-CT), field emission electron probe microanalysis (FE-EPMA) with C-free embedding, and novel Cosine similarity measurement to investigate the C retention in different aggregate fractions of contrasting soils. Pore structure and minerals contributed equally (ca. 50%) to OC accumulation in macroaggregates, while chemical protection played a leading role in C retention with 53.4%-59.2% of residual C associated with minerals in microaggregates. Phyllosilicates were discovered to be more prominent than Fe (hydr)oxides in C stabilization. The proportion of phyllosilicates-associated C (52.0%-61.9%) was higher than that bound with Fe (hydr)oxides (45.6%-55.3%) in all aggregate fractions tested. This study disentangled quantitatively for the first time a trade-off between physical and chemical protection of OC varying with aggregate size and the different contributions of minerals to OC preservation. Incorporating pore structure and mineral composition into C modeling would optimize the C models and improve the soil C content prediction.

Incidence and Impact of Takotsubo Syndrome in Hospitalized Patients With COVID-19.

BACKGROUND: Takotsubo syndrome has been reported in patients with COVID-19, although minimal data are available. This investigation assessed the incidence and impact of takotsubo syndrome on patients hospitalized with COVID-19. METHODS: A retrospective cohort study was conducted using International Statistical Classification of Diseases, Tenth Revision, codes to identify patients with a primary diagnosis of COVID-19 with or without takotsubo syndrome in the National Inpatient Sample 2020 database. Outcomes between groups were compared after propensity score matching for patient and hospital demographics and comorbidities. RESULTS: A total of 211,448 patients with a primary diagnosis of COVID-19 were identified. Of these, 171 (0.08%) had a secondary diagnosis of takotsubo syndrome. Before matching, patients with COVID-19 and takotsubo syndrome, compared with patients without takotsubo syndrome, were older (68.95 vs 64.26 years; P < .001); more likely to be female (64.3% vs 47.2%; P < .001); and more likely to have anxiety (24.6% vs 12.8%; P < .001), depression (17.5% vs 11.4%; P = .02), and chronic obstructive pulmonary disease (24.6% vs 14.7%; P < .001). The takotsubo syndrome group had worse outcomes than the non-takotsubo syndrome group for death (30.4% vs 11.1%), cardiac arrest (7.6% vs 2.1%), cardiogenic shock (12.9% vs 0.4%), length of hospital stay (10.7 vs 7.5 days), and total charges ($152,685 vs $78,468) (all P < .001). After matching and compared with the non-takotsubo syndrome group (n = 508), the takotsubo syndrome group (n = 170) had a higher incidence of inpatient mortality (30% vs 14%; P < .001), cardiac arrest (7.6% vs 2.8%; P = .009), and cardiogenic shock (12.4% vs 0.4%; P < .001); a longer hospital stay (10.7 vs 7.6 days; P < .001); and higher total charges ($152,943 vs $79,523; P < .001). CONCLUSION: Takotsubo syndrome is a rare but severe in-hospital complication in patients with COVID-19.

Activating the Intrinsic Zincophilicity of PAM Hydrogel to Stabilize the Metal-Electrolyte Dynamic Interface for Stable and Long-Life Zinc Metal Batteries.

As a potential material to solve rampant dendrites and hydrogen evolution reaction (HER) problem of aqueous zinc metal batteries (AZMB), hydrogel electrolytes usually require additional additives or multi-molecular network strategies to solve existing problems of ionic conductivity, mechanical properties and interface stability. However, the intrinsic zincophilic properties of the gel itself are widely neglected leading to the addition of additional molecules and the complexity of the preparation process. In this work, we innovatively utilize the characteristics of acrylamide's high zincophilic group density, activating the intrinsic zincophilic properties of PAM gel through a simple concentration control strategy which reconstructs a novel zinc-electrolyte interface different from conventional PAM electrolyte. The activated novel gel electrolyte with intrinsic zincophilic properties has high ionic conductivity and effectively suppresses water activity, thereby inhibiting HER corrosion. Meanwhile, it induces uniform deposition of (002) crystal planes, leading to excellent deposition kinetics and long cycle life, thereby ensuring high interfacial stability. Compared with conventional PAM gel electrolytes, the activated zincophilic group-rich hydrogel maintained excellent cycling stability (1 mA/cm2, 1 mAh/cm2) over 2250 hours; The Zn//MnO2 coin cell using novel zincophilic group -rich hydrogel still retains a high specific capacity of more than 170 mAh/g at 0.5 A/g after 1000 cycles.

Comparative physiology and transcriptome response patterns in cold-tolerant and cold-sensitive varieties of Solanum melongena.

BACKGROUND: Climate change has led to severe cold events, adversely impacting global crop production. Eggplant (Solanum melongena L.), a significant economic crop, is highly susceptible to cold damage, affecting both yield and quality. Unraveling the molecular mechanisms governing cold resistance, including the identification of key genes and comprehensive transcriptional regulatory pathways, is crucial for developing new varieties with enhanced tolerance. RESULTS: In this study, we conducted a comparative analysis of leaf physiological indices and transcriptome sequencing results. The orthogonal partial least squares discriminant analysis (OPLS-DA) highlighted peroxidase (POD) activity and soluble protein as crucial physiological indicators for both varieties. RNA-seq data analysis revealed that a total of 7024 and 6209 differentially expressed genes (DEGs) were identified from variety "A" and variety "B", respectively. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment of DEGs demonstrated that the significant roles of starch and sucrose metabolism, glutathione metabolism, terpenoid synthesis, and energy metabolism (sucrose and starch metabolism) were the key pathways in eggplant. Weighted gene co-expression network analysis (WGCNA) shown that the enrichment of numerous cold-responsive genes, pathways, and soluble proteins in the MEgrep60 modules. Core hub genes identified in the co-expression network included POD, membrane transporter-related gene MDR1, abscisic acid-related genes, growth factor enrichment gene DELLA, core components of the biological clock PRR7, and five transcription factors. Among these, the core transcription factor MYB demonstrated co-expression with signal transduction, plant hormone, biosynthesis, and metabolism-related genes, suggesting a pivotal role in the cold response network. CONCLUSION: This study integrates physiological indicators and transcriptomics to unveil the molecular mechanisms responsible for the differences in cold tolerance between the eggplant cold-tolerant variety "A" and the cold-sensitive variety "B". These mechanisms include modulation of reactive oxygen species (ROS), elevation in osmotic carbohydrate and free proline content, and the expression of terpenoid synthesis genes. This comprehensive understanding contributes valuable insights into the molecular underpinnings of cold stress tolerance, ultimately aiding in the improvement of crop cold tolerance.

Metabolic coupling between soil aerobic methanotrophs and denitrifiers in rice paddy fields.

Paddy fields are hotspots of microbial denitrification, which is typically linked to the oxidation of electron donors such as methane (CH4) under anoxic and hypoxic conditions. While several anaerobic methanotrophs can facilitate denitrification intracellularly, whether and how aerobic CH4 oxidation couples with denitrification in hypoxic paddy fields remains virtually unknown. Here we combine a ~3300 km field study across main rice-producing areas of China and 13CH4-DNA-stable isotope probing (SIP) experiments to investigate the role of soil aerobic CH4 oxidation in supporting denitrification. Our results reveal positive relationships between CH4 oxidation and denitrification activities and genes across various climatic regions. Microcosm experiments confirm that CH4 and methanotroph addition promote gene expression involved in denitrification and increase nitrous oxide emissions. Moreover, 13CH4-DNA-SIP analyses identify over 70 phylotypes harboring genes associated with denitrification and assimilating 13C, which are mostly belonged to Rubrivivax, Magnetospirillum, and Bradyrhizobium. Combined analyses of 13C-metagenome-assembled genomes and 13C-metabolomics highlight the importance of intermediates such as acetate, propionate and lactate, released during aerobic CH4 oxidation, for the coupling of CH4 oxidation with denitrification. Our work identifies key microbial taxa and pathways driving coupled aerobic CH4 oxidation and denitrification, with important implications for nitrogen management and greenhouse gas regulation in agroecosystems.

Synthesis and evaluation of L-quebrachitol derivatives against platelet aggregation.

Thrombosis plays an important role in the occurrence and development of cardiovascular and cerebrovascular diseases that contribute to high mortality and morbidity in patients. L-(-)-Quebrachitol (QCT), a natural product, was first isolated from quebracho bark. It can inhibit PAF receptor and decrease gastric damage induced by indomethacin, as a drug against platelet aggregation. Here, five QCT derivatives were synthesized and investigated for their inhibitory effects on platelet aggregation. Among them, compound 3a showed anticoagulant effects comparable to aspirin, while compound 4b showed dose-independent inhibitory activities in rats that were stronger than aspirin.

Effect of Internet Use on Cognitive Function of Middle-Aged and Elderly Adults in China: Evidence from China Family Panel Studies.

Background: The development and popularization of the Internet provides an important opportunity to advance national strategies for healthy aging, particularly the impact of the Internet on cognitive function in middle-aged and older adults. Objective: This study aimed to quantify the impact of Internet use on the cognitive health of middle-aged and older adults (aged≥45 years). Methods: We used data from the Chinese Family Panel Study (CFPS) survey, tested the robustness of the baseline findings by variable substitution and instrumental variables methods, and analyzed heterogeneity. Subsequently, five purposes of Internet use that affect cognitive function were analyzed in depth. Results: Internet use may improve cognitive function in middle-aged and older adults. The effect of Internet use on cognitive function was more pronounced in the lower age group (45-59 years), among males, in rural areas, and among middle-aged and older adults with higher levels of education. Cognitive functioning of middle-aged and older adults varied according to how often they used the Internet for entertainment, socialization, study, work, and business activities. Conclusions: The use of the Internet may be considered a practical non-pharmacological intervention to slow cognitive decline in middle-aged and older adults.

Poly(3-Methylthiophene)/Graphene Composite Cathode for Rechargeable Aluminum-Ion Batteries.

To reduce the dependence on traditional fossil energy, developing efficient energy storage systems is urgent. The reserves of aluminum resources in the earth's crust are extremely rich, which makes aluminum-ion batteries a promising competitor of new energy storage devices. Here, we report a poly(3-methylthiophene)/graphene (P3TH/Graphene) composite as the cathode of an aluminum-ion battery. The adjustment of polymer chain spacing by the methyl side chain provides a channel conducive to the transport of large-size AlCl4- complexes. The addition of electron donor groups also changes the electron delocalization characteristics of polymers and improves the specific capacity of the material. At the same time, the in situ composite of graphene can enhance the Π-Π interaction to form a favorable electronic transmission channel. At a current density of 200 mA g-1, the P3TH/Graphene composite showed a specific capacity of ∼150 mA g-1. The flexible structure of the polymer also guarantees the excellent rate capability of the composite.

The incidence and impact of atrial fibrillation on hospitalized Coronavirus disease-2019 patients.

BACKGROUND: Since 2019, Coronavirus disease-2019 (COVID-19) has raised unprecedented global health crisis. The incidence and impact of atrial fibrillation (AF) on patients with COVID-19 remain unclearly defined. METHODS: We conducted a retrospective cohort study using ICD-10 codes to identify patients with a primary diagnosis of COVID-19 with or without AF in National Inpatient Sample Database 2020. We compared the outcome of COVID-19 patients with a concurrent diagnosis of AF with those without. HYPOTHESIS: AF will adversely affect the prognosis of hospitalized COVID-19 patients. RESULTS: A total of 211 619 patients with a primary diagnosis of COVID-19 were identified. Among these patients, 31 923 (15.08%) had a secondary diagnosis of AF. Before propensity score matching, COVID-AF cohort was older (75.8 vs. 62.2-year-old, p < .001) and had more men (57.5% vs. 52.0%, p < .001). It is associated with more comorbidities, mainly including diabetes mellitus (43.7% vs. 39.9%, p < .001), hyperlipidemia (54.6% vs. 39.8%, p < .001), chronic kidney disease (34.5% vs. 17.0%, p < .001), coronary artery disease (35.3% vs. 14.4%, p < .001), anemia (27.8% vs. 18.6%, p < .001), and cancer (4.8% vs. 3.4%, p < .001). After performing propensity score match, a total of 31 862 patients were matched within each group. COVID-AF cohort had higher inpatient mortality (22.2% vs. 15.3%, p < .001) and more complications, mainly including cardiac arrest (3.9% vs. 2.3%, p < .001), cardiogenic shock (0.9% vs. 0.3%, p < .001), hemorrhagic stroke (0.4% vs. 0.3%, p = .025), and ischemic stroke (1.3% vs. 0.7%, p < .001). COVID-AF cohort was more costly, with a longer length of stay, and a higher total charge. CONCLUSION: AF is common in patients hospitalized for COVID-19, and is associated with poorer in-hospital mortality, immediate complications and increased healthcare resource utilization.