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ETHNOPHARMACOLOGICAL RELEVANCE: Labisia pumila (Blume) Fern.-Vill, also known as Kacip Fatimah, is a traditional medicinal herb common throughout Southeast Asia. It is primarily used to facilitate childbirth and postpartum recovery in women. Additionally, it can also be used to treat dysentery, rheumatism, gonorrhea, and as an anti-flatulent. AIM OF THIS REVIEW: This article aims to provide a comprehensive review of the traditional uses, botany, cultivation, phytochemistry, pharmacological effects, practical applications, and potential uses of L. pumila (LP). Furthermore, we also explore the safety of this plant and its potential prospects for application. MATERIALS AND METHODS: The keywords "Labisia pumila," "Kacip Fatimah," and "Marantodes pumilum" were used to collect relevant information through electronic searches (including Elsevier, PubMed, Google Scholar, Baidu Scholar, CNKI, ScienceDirect, and Web of Science). RESULTS: This review summarizes 102 chemical components from different parts of the plant, including flavonoids, phenolic acids, saponins, and other chemical components. In addition, we also address the associated cultivation conditions, traditional uses, pharmacological effects and toxicity. A large number of reports indicate that LP has various pharmacological effects such as antioxidant, phytoestrogenic, anti-inflammtory, antimicrobial, anti-osteoporosis and anti-obesity properties. These results provide valuable references for future research on LP. In addition, LP is also a potential medicinal and edible plant, and is currently sold on the market as a dietary supplement. CONCLUSIONS: LP is a renowned traditional ethnic medicine with numerous pharmacological activities attributed to its bioactive components. Therefore, isolation and identification of the chemical components in LP can be a focus of our future research. Current studies have focused only on the effects of LP on estrogen deficiency-related diseases in women and bone diseases. There is no scientific evidence for other traditional uses. Therefore, it is important to further explore its pharmacological activities and fill the research gaps related to other traditional uses. Furthermore, research on its safety should be expanded to prepare clinical applications.

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Etnofarmacología , Medicina Tradicional , Fitoquímicos , Extractos Vegetales , Humanos , Fitoquímicos/farmacología , Fitoquímicos/química , Medicina Tradicional/métodos , Etnofarmacología/métodos , Extractos Vegetales/farmacología , Extractos Vegetales/química , Animales , Fitoterapia , Plantas Medicinales/química , Primulaceae/química

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C-reactive protein (CRP) plays a crucial role in the diagnosis and monitoring of the non-specific acute phase response in humans. In contrast, rat CRP (rCRP) is an atypical acute-phase protein that possesses unique features, such as a possible incapacity to trigger the complement system and markedly elevated baseline plasma concentrations. To facilitate in vitro studies on these unique characteristics, obtaining high-quality pure rCRP is essential. Here we explored various strategies for rCRP purification, including direct isolation from rat plasma and recombinant expression in both prokaryotic and eukaryotic systems. Our study optimized the recombinant expression system to enhance the secretion and purification efficiency of rCRP. Compared to traditional purification methods, we present a streamlined and effective approach for the expression and purification of rCRP in the Pichia pastoris system. This refined methodology offers significant improvements in the efficiency and effectiveness of rCRP purification, thereby facilitating further structural and functional studies on rCRP.

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Proteína C-Reactiva , Proteínas Recombinantes , Animales , Proteína C-Reactiva/genética , Proteína C-Reactiva/metabolismo , Ratas , Proteínas Recombinantes/aislamiento & purificación , Proteínas Recombinantes/genética , Expresión Génica , Saccharomycetales/genética , Saccharomycetales/metabolismo , Pichia/genética , Pichia/metabolismo

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In recent decades, global aquaculture has expanded rapidly, raising concerns about coastal environmental degradation due to unregulated or poorly regulated discharge of aquaculture tailwater. Despite the crucial role of dissolved organic matter (DOM) in biogeochemical processes and aquatic biodiversity, the influence of aquaculture type on the molecular characteristics of DOM remains largely unexplored. Herein, this study investigated the variations in chemical and spectroscopic properties as well as molecular characteristics and composition of DOM across different aquaculture types including crustacean, fish and shellfish. Our findings revealed notable differences in DOM quantities among different aquaculture types, with crustacean and fish aquaculture water containing higher DOM amount compared to shellfish aquaculture water. This disparity can be attributed to the more frequent formulated feeds of crustacean and fish in contrast to shellfish aquaculture. Furthermore, distinct differences were also observed in the characteristics and composition of DOM among the different aquaculture waters. Specifically, DOM in shellfish aquaculture water exhibited a higher abundance of unsaturated and reduced molecules as well as increased aromaticity compared to the other two aquaculture waters. Conversely, DOM from fish aquaculture water showed a greater contribution from terrestrial origin characterized by elevated levels of plant-based components such as lignin-like and tannin-like compounds. Interestingly, DOM from shellfish aquaculture water contained lower levels of microbial-derived components such as lipid-like and protein-like compounds, likely due to reduced microorganism populations resulting from lower nutrients availability and higher salinity. Overall, these significant variations in characteristics and composition of DOM underscore the potential impacts of aquaculture type on the DOM biogeochemical cycle and the environmental quality in aquatic ecosystems.

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Mosquito-borne diseases, such as malaria, dengue fever, and the Zika virus, pose significant global health challenges, affecting millions annually. Due to increasing insecticide resistance, there is a growing interest in natural alternatives for mosquito control. Lemongrass essential oil, derived from Cymbopogon citratus, has shown promising repellent and larvicidal properties against various mosquito species. In this study, we investigated the larvicidal effect of lemongrass oil and its major compounds on Anopheles sinensis, the primary malaria vector in China. GC-MS analysis identified the major compounds of lemongrass oil as ( +)-citronellal (35.60%), geraniol (21.84%), and citronellol (13.88%). Lemongrass oil showed larvicidal activity against An. sinensis larvae, with an LC50 value of 119.20 ± 3.81 mg/L. Among the major components, citronellol had the lowest LC50 value of 42.76 ± 3.18 mg/L. Moreover, citronellol demonstrated inhibitory effects on acetylcholinesterase (AChE) activity in An. sinensis larvae, assessed by homogenizing larvae at different time points following treatment. Molecular docking studies further elucidated the interaction between citronellol and AChE, revealing the formation of hydrogen bonds and Pi-Sigma bonds. Aromatic amino acid residues such as Tyr71, Trp83, Tyr370, and Tyr374 played a pivotal role in these interactions. These findings may contribute to understanding lemongrass oil's larvicidal activity against An. sinensis and the mechanisms underlying these effects.

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Monoterpenos Acíclicos , Anopheles , Inhibidores de la Colinesterasa , Insecticidas , Larva , Aceites Volátiles , Aceites de Plantas , Animales , Anopheles/efectos de los fármacos , Anopheles/enzimología , Larva/efectos de los fármacos , Insecticidas/farmacología , Insecticidas/química , Monoterpenos Acíclicos/farmacología , Aceites de Plantas/farmacología , Aceites de Plantas/química , Aceites Volátiles/farmacología , Aceites Volátiles/química , Inhibidores de la Colinesterasa/farmacología , Inhibidores de la Colinesterasa/química , Cymbopogon/química , Simulación del Acoplamiento Molecular , Terpenos/farmacología , Terpenos/química , Cromatografía de Gases y Espectrometría de Masas , China , Acetilcolinesterasa/metabolismo , Mosquitos Vectores/efectos de los fármacos , Monoterpenos/farmacología , Monoterpenos/química , Aldehídos/farmacología , Aldehídos/química

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BACKGROUND: The abdominal perineal resection (APR), historically referred to as Mile's procedure, stands as a time-honored surgical intervention for rectal cancer management. Advancements in surgical techniques and the advent of neoadjuvant therapies have significantly improved the rate of sphincter preservation among patients afflicted with rectal cancer, including those with ultralow rectal cancer. Despite these improvements, APR maintains its irreplaceable role in the clinical landscape, particularly for cases involving low rectal cancer with encroachment on the external anal sphincter or levator ani muscles. Optimal perineal exposure stands as a pivotal phase in APR, given that the precision of this maneuver is directly correlated with both the safety of the surgery and the patient's subsequent long-term prognosis. AIM: To evaluate the value of Lone-Star retractor (LSR) perineal exposure method in the treatment for laparoscopic APR of rectal cancer. METHODS: We reviewed the records of 38 patients with rectal cancer at Anqing Municipal Hospital from January 2020 to December 2023, including 20 patients who underwent the APR procedure with a LSR perineal exposure method (LSR group) and 18 patients who underwent the APR procedure with a conventional perineal exposure method (control group). In the LSR group, following incision of the skin and subcutaneous tissue, the LSR was placed and dynamically adjusted according to the surgical plane to fully expose the perineal operative field. RESULTS: A total of 38 patients underwent laparoscopic APR, none of whom were found to have distant metastasis upon intraoperative exploration. Perineal blood loss, the postoperative hospital stays and the wound pain scores in the LSR group were significantly lower than those in the control group. A single surgeon completed the perineal operation significantly more often in the LSR group than in the control group (P < 0.05). The incidence of infection via the perineal incision in the LSR group was significantly lower than that in the control group (P < 0.05). No cases of distant metastasis or local recurrence were found among the patients at the postoperative follow-up. CONCLUSION: The application of the LSR technique might be helpful for performing perineal exposure during APR for rectal cancer and could reduce the incidence of perineal complications, shorten the postoperative hospital stay, improve postoperative pain, and allow one surgeon to perform the perineal operation.

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Developing highly effective catalysts for ammonia (NH3) synthesis is a challenging task. Even the current, prevalent iron-derived catalysts used for industrial NH3 synthesis require harsh reaction conditions and involve massive energy consumption. Here we show that anchoring buckminsterfullerene (C60) onto non-iron transition metals yields cluster-matrix co-catalysts that are highly efficient for NH3 synthesis. Such co-catalysts feature separate catalytic active sites for hydrogen and nitrogen. The 'electron buffer' behaviour of C60 balances the electron density at catalytic transition metal sites and enables the synergistic activation of nitrogen on transition metals in addition to the activation and migration of hydrogen on C60 sites. As demonstrated in long-term, continuous runs, the C60-promoting transition metal co-catalysts exhibit higher NH3 synthesis rates than catalysts without C60. With the involvement of C60, the rate-determining step in the cluster-matrix co-catalysis is found to be the hydrogenation of *NH2. C60 incorporation exemplifies a practical approach for solving hydrogen poisoning on a wide variety of oxide-supported Ru catalysts.

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Taste and odor (T&O) are among the most frequently encountered aesthetic issues in drinking water. While fungi have been reported to produce offensive odors, their contribution to T&O in drinking water remains understudied and often overlooked. In this study, the profiles of fungal community and odorants produced by 10 native fungal isolates were investigated in 36 samples collected from two drinking water treatment plants and a premise plumbing system. A total of 17 odorants were identified with Penicillium, Aspergillus, Paecilomyces, and Alternaria genera exhibiting the highest odorant yields. Significant concentrations of musty/earthy compounds were produced by these fungal isolates, such as 2-methylisoborneol (2-MIB) (26-256 ng/L), geosmin (10-13 ng/L), and 2-isobutyl-3-methoxy-pyrazine (IBMP) (3-13 ng/L). The high odor activity value of the odorants primarily occurred within 4 d, while toxicity continued to increase during the 8 d incubation. UV treatment in premise plumbing significantly (p < 0.05) reduced the gene read counts of Ascomycota phylum, Aspergillus spp., Fusarium spp., Rhizopus spp., and Trichoderma spp., by 2.3-4.0 times. These findings underscore the previously underestimated role of fungi in contributing to T&O issues in drinking water and corresponding risks to consumers and indicate UV as a promising strategy for fungal control in drinking water.

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N-Glycan-dependent endoplasmic reticulum quality control (ERQC) primarily mediates protein folding, which determines the fate of the polypeptide. Monoglucose residues on N-glycans determine whether the nascent N-glycosylated proteins enter into and escape from the calnexin (CANX)/calreticulin (CALR) cycle, which is a central system of the ERQC. To reveal the impact of ERQC on glycosylation and protein fate, we performed comprehensive quantitative proteomic and glycoproteomic analyses using cells defective in N-glycan-dependent ERQC. Deficiency of MOGS encoding the ER α-glucosidase I, CANX, or/and CALR broadly affected protein expression and glycosylation. Among the altered glycoproteins, the occupancy of oligomannosidic N-glycans was significantly affected. Besides the expected ER stress, proteins and glycoproteins involved in pathways for lysosome and viral infection are differentially changed in those deficient cells. We demonstrated that lysosomal hydrolases were not correctly modified with mannose-6-phosphates on the N-glycans and were directly secreted to the culture medium in N-glycan-dependent ERQC mutant cells. Overall, the CANX/CALR cycle promotes the correct folding of glycosylated peptides and influences the transport of lysosomal hydrolases.

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In situ ligand transformation strategies represent an efficient pathway for constructing function-oriented polyoxometalate (POM)-based crystalline materials. Herein, three POM-based hybrid networks were synthesized through in situ transformation of the phosphine ligand, formulated as [Ag(dppeo)6][H2PMo12O40]·5H2O (1), [Ag(dedpo)]4[SiW12O40]·6H2O (2), and [Ag(dppeo)]3[PW12O40]·3H2O (3) (dedpo = (2-(diphenylphosphaneyl)ethyl)diphenylphosphine oxide; dppeo = ethane-1,2-diylbis(diphenylphosphine oxide)). During the synthesis of these compounds, the 1,2-diphenylphosphine ethane molecule underwent in situ oxidation, transforming into dppeo and dedpo ligands, respectively. Compound 1 features a supramolecular architecture assembled from [Ag(dppeo)3]+/[Ag2(dppeo)6]2+ cationic clusters with disordered Ag centers and protonated [H2PMo12O40]- anions. Compound 2 presents a 3-D POM-supported metal-organic framework consisting of binuclear [Ag(dedpo)]22+ units, {-dedpo-Ag-dedpo-} chains, and [SiW12O40]4- polyoxoanions. Compound 3 displays a 2-D layered structure formed by {-dppeo-Ag3-dppeo-} chains and [PW12O40]3- clusters. Pronounced argentophilic interactions are observed in compounds 1 and 3. The three compounds demonstrate satisfactory heterogeneous catalytic activity in the colorimetric detection reactions toward phenol pollutants with detection limits of 1.73, 1.92, and 4.6 µM, respectively. Additionally, compounds 1-3 show high anti-interference capabilities and high sensitivity in differentiating phenol from its halogenated derivatives. This work presents some guidance for designing specific function-oriented POM-based materials via an in situ ligand transformation strategy.

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Due to past massive usage and persistent nature, pentachlorophenol (PCP) residues are prevalent in environments, posing a potential threat to various organisms such as sessile filter-feeding bivalves. Although humoral immunity and its crosstalk with cellular one are crucial for the maintaining of robust antimicrobic capability, little is known about the impacts of PCP on these critical processes in bivalve mollusks. In this study, pathogenic bacterial challenge and plasma antimicrobic capability assays were carried out to assess the toxic effects of PCP on the immunity of a common bivalve species, blood clam (Tegillarca granosa). Moreover, the impacts of PCP-exposure on the capabilities of pathogen recognition, hemocyte recruitment, and pathogen degradation were analyzed as well. Furthermore, the activation status of downstream immune-related signalling pathways upon PCP exposure was also assessed. Data obtained illustrated that 28-day treatment with environmentally realistic levels of PCP resulted in evident declines in the survival rates of blood clam upon Vibrio challenge along with markedly weakened plasma antimicrobic capability. Additionally, the levels of lectin and peptidoglycan-recognition proteins (PGRPs) in plasma as well as the expression of pattern recognition receptors (PRRs) in hemocytes were found to be significantly inhibited by PCP-exposure. Moreover, along with the downregulation of immune-related signalling pathway, markedly fewer chemokines (interleukin 8 (IL-8), IL-17, and tumor necrosis factor α (TNF-α)) in plasma and significantly suppressed chemotactic activity of hemocytes were also observed in PCP-exposed blood clams. Furthermore, compared to that of the control, blood clams treated with PCP had markedly lower levels of antimicrobic active substances, lysozyme (LZM) and antimicrobial peptides (AMP), in their plasma. In general, the results of this study suggest that PCP exposure could significantly impair the antimicrobic capability of blood clam via undermining humoral immunity and disrupting humoral-cellular crosstalk.

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Ischemic stroke (IS) is a severe cerebrovascular disease with high disability and mortality rates, where the inflammatory response is crucial to its progression and prognosis. Efferocytosis, the prompt removal of dead cells, can reduce excessive inflammation after IS injury. While electroacupuncture (EA) has been shown to decrease inflammation post-ischemia/reperfusion (I/R), its link to efferocytosis is unclear. Our research identified ATP-binding cassette transporter A1 (Abca1) as a key regulator of the engulfment process of efferocytosis after IS by analyzing public datasets and validating findings in a mouse model, revealing its close ties to IS progression. We demonstrated that EA can reduce neuronal cell death and excessive inflammation caused by I/R. Furthermore, EA treatment increased Abca1 expression, prevented microglia activation, promoted M2 microglia polarization, and enhanced their ability to phagocytose injured neurons in I/R mice. This suggests that EA's modulation of efferocytosis could be a potential mechanism for reducing cerebral I/R injury, making regulators of efferocytosis steps a promising therapeutic target for EA benefits.

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Transportador 1 de Casete de Unión a ATP , Electroacupuntura , Inflamación , Ratones Endogámicos C57BL , Microglía , Fagocitosis , Daño por Reperfusión , Animales , Microglía/metabolismo , Microglía/patología , Electroacupuntura/métodos , Transportador 1 de Casete de Unión a ATP/metabolismo , Daño por Reperfusión/patología , Daño por Reperfusión/terapia , Daño por Reperfusión/metabolismo , Inflamación/patología , Masculino , Isquemia Encefálica/patología , Isquemia Encefálica/metabolismo , Isquemia Encefálica/terapia , Ratones , Neuronas/metabolismo , Neuronas/patología , Modelos Animales de Enfermedad , Eferocitosis

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OBJECTIVE: To investigate the effectiveness of antibiotic bone cement combined with the vacuum sealing drainage (VSD) technique for repairing sacrococcygeal pressure ulcer wounds. METHODS: A retrospective analysis was conducted on data from 136 patients treated at Yantai Affiliated Hospital of Binzhou Medical College between May 2020 and June 2022. The cases were devided into a control group and a study group according to their treatment regimen. Indicators of postoperative recovery including blood routine recovery time, hospital stay, antibiotic application time, and healing time were compared between the two groups. Before the procedure and 6, 12, 24, and 48 hours following the operation, the pain levels of patients in both groups were examined using a visual analogue scale (VAS). On the 3rd, 7th, 14th, 21st, and 28th days of treatment, the pressure ulcer scale for healing (PUSH) was used to measure the pressure ulcer area between the two groups. On the 7th, 14th, 21st, and 28th days following treatment, the capillary density values were compared between the two groups, along with the levels of interleukin-1ß (IL-1ß), interleukin-12 (IL-12), and c-reactive protein (CRP). The proportions of immunoglobulin M (IgM) and immunoglobulin G (IgG) levels, CD3+, CD4+, and CD8+ T cell subsets, as well as CD4+/CD8+ ratio, were compared between the two groups. RESULTS: The blood routine recovery time, hospital stays, antibiotic usage duration, and healing time were all significantly shorter in the study group compared to those in the control group (all P<0.05). At 6 h, 12 h, 24 h, and 48 h following surgery, the VAS score in study group was significantly lower than that of the control group (P<0.05). The study group also showed a greater reduction in pressure ulcer area, with lower PUSH scores observed on days 14, 21, and 28 (P<0.05). Post-treatment levels of IL-1ß, IL-12, and CRP decreased in both groups, with significantly lower levels in the study group (P<0.05). Following therapy, both groups demonstrated significantly increased levels of CD3+, CD4+, CD4+/CD8+, IgM and IgG and reduced level of CD8+. These improvements were more pronounced in the study group (all P<0.05). CONCLUSION: The combination of antibiotic bone cement and VSD is effective in enhancing recovery, reducing pain and inflammation, and improving immune response in the treatment of sacrococcygeal pressure ulcers.

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Traumatic brain injury (TBI) is a leading cause of disability and death. Thus, timely and effective secondary brain injury intervention is crucial, with potential to improve the prognosis of TBI. Oxidative stress contributes to post-traumatic secondary cognitive impairment, and the reduction of post-traumatic oxidative stress effectively enhances cognitive function. Phosphoglycerate-mutating enzyme 5 (PGAM5), a member of the phosphoglycerate transporter enzyme family, is upregulated in TBI and induces mitochondrial autophagy. This further exacerbates damage following TBI. The present study focused on the small molecule drug, LFHP-1c, which is a novel inhibitor of PGAM5. The present study used an in vivo mouse model incorporating a controlled cortical impact-induced TBI, to examine the impact of LFHP-1c on oxidative stress and cognitive function. The present study aimed to determine the impact of LFHP-1c on the PGAM5-Kelch-like ECH-associated protein 1 (KEAP1)- nuclear factor erythroid 2-related factor 2 (NRF2) ternary complex within the TBI context. Results of the present study indicated that LFHP-1c suppresses PGAM5 expression and inhibits the development of the PGAM5-KEAP1-NRF2 ternary complex, thereby promoting the release of NRF2 and KEAP1. This in turn promotes the entry of NRF2 into the nucleus following TBI, leading to increased expression of anti-oxidative stress downstream factors, such as heme oxygenase-1, glutathione peroxidase 1 and superoxide dismutase 1. In addition, LFHP-1c also released KEAP1, leading to mitochondrial Rho GTPase 2 degradation and reducing perinuclear aggregation of mitochondria in the cell, which reduced oxidative stress and ultimately improved cognitive function after TBI.

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Objective: The aim of this study was to investigate the epidemiological trend of respiratory pathogens infections among children after the Coronavirus Disease 2019 (COVID-19) pandemic. Methods: This study enrolled 575,373 children who came to our hospital for relevant respiratory pathogen antigen/antibody testing due to respiratory symptoms such as fever and cough. The demographic and laboratory data, including age, gender, testing time, and influenza A virus (IAV), influenza B virus (IBV), respiratory syncytial virus (RSV), adenovirus (ADV), and Mycoplasma pneumonia (MP) results, were collected from electronic medical records. SPSS (version 21.0) and GraphPad Prism 9 software were used for statistical analysis and figure creation. Results: 79,746 children tested positive for IAV IgM, and 3196 children tested positive for IBV IgM, with an overall positive rate of 28.5 % for IAV and 1.1 % for IBV. IAV infections peaked at 21,502 cases in March 2023. 80,699 children underwent RSV IgM testing from April to October 2023, with 5726 (7.1 %) testing positive. The apex of RSV infections occurred in May 2023, with 2140 cases. Regarding ADV, 100,460 children underwent testing from April to October 2023, with 1981 (11.9 %) testing positive. The pinnacle of ADV infections reached 4546 cases in November 2023. Concerning MP, 474,913 children underwent MP testing, with 73,833 (15.5 %) testing positive. The zenith of MP infections occurred in November 2023, with 25,291 cases. Further analysis revealed that the outbreaks of these pathogens are occurring earlier than in previous years. Additionally, our data showed that children aged >3 years accounted for 79.6 %, 87.8 %, 88.6 %, and 77.8 % of the total IAV-positive, IBV-positive, ADV-positive, and MP-positive children, respectively. Conversely, RSV primarily infected children <6 years. Conclusion: Various respiratory pathogens showed an epidemic trend in children among children post-COVID-19. These results indicated that we should pay timely attention to the epidemiological trends and characteristics of respiratory pathogens in children after the COVID-19 pandemic and provide relevant information for society and clinical practice.

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Ophiocordyceps sinensis is a genus of ascomycete fungi that has been widely used as a valuable tonic or medicine. However, due to over-exploitation and the destruction of natural ecosystems, the shortage of wild O. sinensis resources has led to an increase in artificially cultivated O. sinensis. To rapidly and accurately identify the molecular differences between cultivated and wild O. sinensis, this study employs surface-enhanced Raman spectroscopy (SERS) combined with machine learning algorithms to distinguish the two O. sinensis categories. Specifically, we collected SERS spectra for wild and cultivated O. sinensis and validated the metabolic profiles of SERS spectra using Ultra-Performance Liquid Chromatography coupled with Orbitrap High-Resolution Mass Spectrometry (UPLC-Orbitrap-HRMS). Subsequently, we constructed machine learning classifiers to mine potential information from the spectral data, and the spectral feature importance map is determined through an optimized algorithm. The results indicate that the representative characteristic peaks in the SERS spectra are consistent with the metabolites identified through metabolomics analysis, confirming the feasibility of the SERS method. The optimized support vector machine (SVM) model achieved the most accurate and efficient capacity in discriminating between wild and cultivated O. sinensis (accuracy = 98.95%, 5-fold cross-validation = 98.38%, time = 0.89s). The spectral feature importance map revealed subtle compositional differences between wild and cultivated O. sinensis. Taken together, these results are expected to enable the application of SERS in the quality control of O. sinensis raw materials, providing a foundation for the efficient and rapid identification of their quality and origin.

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Zearalenone (ZEN) is a toxic secondary metabolite produced by the Fusarium fungi, which widely contaminates grains, food, and feed, causing health hazards for humans and animals. Therefore, it is essential to find effective ZEN detoxification methods. Enzymatic degradation of ZEN is believed to be an eco-friendly detoxification strategy, specifically thermostable ZEN degradation enzymes are needed in the food and feed industry. In this study, a novel ZEN lactone hydrolase ZHRnZ from Rosellinia necatrix was discovered using bioinformatic and molecular docking technology. The recombinant ZHRnZ showed the best activity at pH 9.0 and 45 °C with more than 90% degradation for ZEN, α-zearalenol (α-ZOL), ß-zearalenol (ß-ZOL) and α-zearalanol (α-ZAL) after incubation for 15 min. We obtained 10 mutants with improved thermostability by single point mutation technology. Among them, mutants E122Q and E122R showed the best performance, which retained more than 30% of their initial activity at 50 °C for 2 min, and approximately 10% of their initial activity at 60 °C for 1 min. The enzymatic kinetic study showed that the catalytic efficiency of E122R was 1.3 times higher than that of the wild-type (WT). Comprehensive consideration suggests that mutant E122R is a promising hydrolase to detoxify ZEN in food and feed.

Asunto(s)

Estabilidad de Enzimas , Hidrolasas , Simulación del Acoplamiento Molecular , Zearalenona , Zearalenona/metabolismo , Zearalenona/química , Hidrolasas/metabolismo , Hidrolasas/química , Hidrolasas/genética , Cinética , Concentración de Iones de Hidrógeno , Proteínas Fúngicas/metabolismo , Proteínas Fúngicas/genética , Proteínas Fúngicas/química , Lactonas/metabolismo , Temperatura , Hypocreales/enzimología , Hypocreales/genética

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A predictive model utilizing near-infrared spectroscopy was developed to estimate the loss on drying, total contents of crocin I and crocin II, and picrocrocin content of saffron. Initially, the LD values were determined using a moisture-ash analyzer, while HPLC was employed for measuring the total contents of crocin I, crocin II, and picrocrocin. The near-infrared spectra of 928 saffron samples were collected and preprocessed using first derivative, standard normal variable transformation, detrended correction, multivariate scattering correction, Savitzky-Golay smoothing, and mean centering methods. Leveraging the partial least squares method, regression models were constructed, with parameters optimized through a selective combination of the above six preprocessing methods. Subsequently, prediction models for loss on drying, total contents of crocin I and crocin II, and picrocrocin content were established, and the prediction accuracy of the models was verified. The correlation coefficients and root mean square error of loss on drying, total contents of crocin I and crocin II, and picrocrocin content demonstrated high accuracy, with R2 values of 0.8627, 0.8851, and 0.8592 and root mean square error values of 0.0260, 0.0682, and 0.0465. This near-infrared prediction model established in the present study offers a precise and efficient means of assessing loss on drying, total contents of crocin I and crocin II, and picrocrocin content in saffron and is useful for the development of a rapid quality evaluation system.

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Carotenoides , Crocus , Espectroscopía Infrarroja Corta , Crocus/química , Espectroscopía Infrarroja Corta/métodos , Carotenoides/análisis , Análisis de los Mínimos Cuadrados , Cromatografía Líquida de Alta Presión/métodos , Glucósidos , Terpenos , Ciclohexenos

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Objectives: This study aimed to explore the performance of a model based on Chinese Thyroid Imaging Reporting and Data Systems (C-TIRADS), clinical characteristics, and shear wave elastography (SWE) for the prediction of Bethesda I thyroid nodules before fine needle aspiration (FNA). Materials and methods: A total of 267 thyroid nodules from 267 patients were enrolled. Ultrasound and SWE were performed for all nodules before FNA. The nodules were scored according to the 2020 C-TIRADS, and the ultrasound and SWE characteristics of Bethesda I and non-I thyroid nodules were compared. The independent predictors were determined by univariate analysis and multivariate logistic regression analysis. A predictive model was established based on independent predictors, and the sensitivity, specificity, and area under the curve (AUC) of the independent predictors were compared with that of the model. Results: Our study found that the maximum diameter of nodules that ranged from 15 to 20 mm, the C-TIRADS category <4C, and E max <52.5 kPa were independent predictors for Bethesda I thyroid nodules. Based on multiple logistic regression, a predictive model was established: Logit (p) = -3.491 + 1.630 × maximum diameter + 1.719 × C-TIRADS category + 1.046 × E max (kPa). The AUC of the model was 0.769 (95% CI: 0.700-0.838), which was significantly higher than that of the independent predictors alone. Conclusion: We developed a predictive model for predicting Bethesda I thyroid nodules. It might be beneficial to the clinical optimization of FNA strategy in advance and to improve the accurate diagnostic rate of the first FNA, reducing repeated FNA.

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Background: In spinal revision surgery, previous pedicle screws (PS) may need to be replaced with new implants. Failure to accurately identify the brand of PS-based instrumentation preoperatively may increase the risk of perioperative complications. This study aimed to develop and validate an optimal deep learning (DL) model to identify the brand of PS-based instrumentation on plain radiographs of spine (PRS) using anteroposterior (AP) and lateral images. Methods: A total of 529 patients who received PS-based instrumentation from seven manufacturers were enrolled in this retrospective study. The postoperative PRS were gathered as ground truths. The training, validation, and testing datasets contained 338, 85, and 106 patients, respectively. YOLOv5 was used to crop out the screws' trajectory, and the EfficientNet-b0 model was used to develop single models (AP, Lateral, Merge, and Concatenated) based on the different PRS images. The ensemble models were different combinations of the single models. Primary outcomes were the models' performance in accuracy, sensitivity, precision, F1-score, kappa value, and area under the curve (AUC). Secondary outcomes were the relative performance of models versus human readers and external validation of the DL models. Results: The Lateral model had the most stable performance among single models. The discriminative performance was improved by the ensemble method. The AP + Lateral ensemble model had the most stable performance, with an accuracy of 0.9434, F1 score of 0.9388, and AUC of 0.9834. The performance of the ensemble models was comparable to that of experienced orthopedic surgeons and superior to that of inexperienced orthopedic surgeons. External validation revealed that the Lat + Concat ensemble model had the best accuracy (0.9412). Conclusion: The DL models demonstrated stable performance in identifying the brand of PS-based instrumentation based on AP and/or lateral images of PRS, which may assist orthopedic spine surgeons in preoperative revision planning in clinical practice.

RESUMEN

Global estimations suggest energy content within municipal solid waste (MSW) is underutilized, compromising efforts to reduce fossil CO2 emissions and missing the opportunities for pursuing circular economy in energy consumption. The energy content of the MSW, represented by heating values (HVs), is a major determinant for the suitability of incinerating the waste for energy and managing waste flows. Literature reveals limitations in traditional statistical HV modelling approaches, which assume a linear and additive relationship between physiochemical properties of MSW samples and their HVs, as well as overlook the impact of non-combustible substances in MSW mixtures on energy harvest. Artificial intelligence (AI)-based models show promise but pose challenges in interpretation based on established combustion theories. From the variable selection perspectives, using MSW physical composition categories as explanatory variables neglects intra-category variations in energy contents while applying environmental or socio-economic factors emerges to address waste composition changes as society develops. The article contributes by showing to professionals and modellers that leveraging AI technology and incorporating societal and environmental factors are meaningful directions for advancing HV prediction in waste management. These approaches promise more precise evaluations of incinerating waste for energy and enhancing sustainable waste management practices.