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OBJECTIVES: We aimed to investigate the association between the albumin-corrected anion gap (ACAG) and the prognosis of cardiogenic shock (CS). DESIGN: A multicentre retrospective cohort study. SETTING: Data were collected from the Medical Information Mart for Intensive Care (MIMIC-IV) and eICU Collaborative Research Database (eICU-CRD) datasets. PARTICIPANTS: 808 and 700 individuals from the MIMIC-IV and eICU-CRD, respectively, who were diagnosed with CS. PRIMARY AND SECONDARY OUTCOMES: The primary endpoint was short-term all-cause mortality, including intensive care unit (ICU), in-hospital and 28-day mortality. The secondary endpoints were the 28-day free from the ICU duration and the length of ICU stay. RESULTS: CS patients were divided into two groups according to the admission ACAG value: the normal ACAG group (≤20 mmol/L) and the high ACAG group (> 20 mmol/L). CS patients with higher ACAG values exhibited increased short-term all-cause mortality rates, including ICU mortality (MIMIC-IV cohort: adjusted HR: 1.43, 95% CI=1.05-1.93, p=0.022; eICU-CRD cohort: adjusted HR: 1.38, 95% CI=1.02-1.86, p=0.036), in-hospital mortality (MIMIC-IV cohort: adjusted HR: 1.31, 95% CI=1.01-1.71, p=0.03; eICU-CRD cohort: adjusted HR: 1.47, 95% CI=1.12-1.94, p=0.006) and 28-day mortality (adjusted HR: 1.42, 95% CI: 1.11 to 1.83, p=0.007). A positive linear correlation was observed between the ACAG value and short-term mortality rates via restricted cubic splines. Compared with the AG, the ACAG presented a larger area under the curve for short-term mortality prediction. In addition, the duration of intensive care was longer, whereas the 28-day free from the ICU duration was shorter in patients with a higher ACAG value in both cohorts. CONCLUSION: The ACAG value was independently and strongly associated with the prognosis of patients with CS, indicating that the ACAG value is superior to the conventional AG value.
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Equilíbrio Ácido-Base , Mortalidade Hospitalar , Unidades de Terapia Intensiva , Choque Cardiogênico , Humanos , Estudos Retrospectivos , Choque Cardiogênico/mortalidade , Masculino , Feminino , Idoso , Prognóstico , Pessoa de Meia-Idade , Unidades de Terapia Intensiva/estatística & dados numéricos , Tempo de Internação/estatística & dados numéricos , Bases de Dados Factuais , Albumina Sérica/análise , Idoso de 80 Anos ou maisRESUMO
BACKGROUND: Changes in alkaline phosphatase (ALP) and γ-glutamyltransferase (GGT) levels in patients with primary liver cancer (PLC) after radiofrequency ablation (RFA). Hepatocellular carcinoma is a malignant tumor with high incidence worldwide. As a common local treatment, RFA has attracted much attention for its efficacy and influence on liver function. AIM: To investigate the effect of serum ALP and GGT levels on the prognosis of patients with PLC treated by RFA. METHODS: The preoperative clinical data of 165 patients who were pathologically or clinically diagnosed with PLC and who received RFA in our hospital between October 2018 and June 2023 were collected. The chi-square test was used to compare the data between groups. The Kaplan-Meier method and Cox regression were used to analyze the associations between serum ALP and GGT levels and overall survival, progression-free survival (PFS) and clinical characteristics of patients before treatment. RESULTS: The 1-year survival rates of patients with normal (≤ 135 U/L) and abnormal (> 135 U/L) serum ALP before treatment were 91% and 79%, respectively; the 2-year survival rates were 90% and 68%, respectively; and the 5-year survival rates were 35% and 18%, respectively. The difference between the two groups was statistically significant (P = 0.01). Before treatment, the 1-year survival rates of patients with normal serum GGT levels (≤ 45 U/L) and abnormal serum GGT levels (> 45 U/L) were 95% and 87%, the 2-year survival rates were 85% and 71%, and the 5-year survival rates were 37% and 21%, respectively. The difference between the two groups was statistically significant (P < 0.001). Serum ALP [hazard ratio (HR) = 1.766, 95% confidence interval (95%CI): 1.068-2.921, P = 0.027] and GGT (HR = 2. 312, 95%CI: 1.367-3.912, P = 0.002) is closely related to the overall survival of PLC patients after RF ablation and is an independent prognostic factor. The 1-year PFS rates were 72% and 50%, the 2-year PFS rates were 52% and 21%, and the 5-year PFS rates were 14% and 3%, respectively. The difference between the two groups was statistically significant (P < 0001). The 1-year PFS rates were 81% and 56% in patients with normal and abnormal serum GGT levels before treatment, respectively; the 2-year PFS rates were 62% and 35%, respectively; and the 5-year PFS rates were 18% and 7%, respectively, with statistical significance between the two groups (P < 0.001). The serum ALP concentration (HR = 1. 653, 95%CI: 1.001-2.729, P = 0.049) and GGT (HR = 1.949, 95%CI: 1.296-2.930, P = 0.001) was closely associated with PFS after RFA in patients with PLC. The proportion of male patients with abnormal ALP levels is high, the Child-Pugh grade of liver function is poor, and the incidence of ascites is high. Among GGT-abnormal patients, the Child-Pugh grade of liver function was poor, the tumor stage was late, the proportion of patients with tumors ≥ 5 cm was high, and the incidence of hepatic encephalopathy was high. CONCLUSION: Serum ALP and GGT levels before treatment can be used to predict the prognosis of patients with PLC after RFA, and they have certain guiding significance for the long-term survival of patients with PLC after radiofrequency therapy.
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BACKGROUND: Primary liver cancer is one of the most lethal malignancies in the world. Traditional treatment methods have limitations in terms of efficacy and safety. Radiofrequency ablation (RFA) guided by B-ultrasound, as a minimally invasive treatment, has attracted increasing attention in the treatment of primary liver cancer in recent years. AIM: To study the efficacy and safety of RFA were compared with those of traditional surgery (TS) for treating small liver cancer. METHODS: At least 2 people were required to search domestic and foreign public databases, including foreign databases such as EMBASE, PubMed and the Cochrane Library, and Chinese databases such as the China National Knowledge Infrastructure database, China Biomedical Literature database, Wanfang database and VIP database. Controlled trials of RFA vs conventional surgery for small liver cancer were retrieved from January 2008 to January 2023. They were screened and evaluated according to the quality evaluation criteria in the Cochrane Handbook of Systematic Reviews. The meta-analysis was performed using RevMan 5.3 software. RESULTS: A total of 10 studies were included in this study, including 1503 patients in the RFA group and 1657 patients in the surgery group. The results of the meta-analysis showed that there was no significant difference in 1-year overall survival between the two groups (P > 0.05), while the 3-year and 5-year overall survival rates and 1-year, 3-year and 5-year tumor-free survival rates in the surgery group were greater than those in the RFA group (P < 0.05). In terms of complications, the incidence of complications in the RFA group was lower than that in the surgery group (P < 0.05). CONCLUSION: In terms of long-term survival, TS is better than RFA for small liver cancer patients. However, RFA has fewer complications and is safer.
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Microtubule-based vesicle trafficking usually relies upon kinesin and dynein motors and few reports describe microtubule polymerisation driving directional vesicle trafficking. Here we show that Arabidopsis END BINDING1b (EB1b), a microtubule plus-end binding protein, directly interacts with SYP121, a SNARE protein that mediates the trafficking of the K+ channel KAT1 and its distribution to the plasma membrane (PM) in Arabidopsis guard cells. Knockout of AtEB1b and its homologous proteins results in a modest but significant change in the distribution of KAT1 and SYP121 in guard cells and consequently delays light-induced stomatal opening. Live-cell imaging reveals that a portion of SYP121-associated endomembrane compartments co-localise with AtEB1b at the growing ends of microtubules, trafficking along with the growth of microtubules for targeting to the PM. Our study reveals a mechanism of vesicle trafficking driven by microtubule growth, which is involved in the redistribution of PM proteins to modulate guard cell movement.
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Proteínas de Arabidopsis , Arabidopsis , Membrana Celular , Proteínas Associadas aos Microtúbulos , Microtúbulos , Estômatos de Plantas , Arabidopsis/metabolismo , Arabidopsis/genética , Arabidopsis/fisiologia , Proteínas de Arabidopsis/metabolismo , Proteínas de Arabidopsis/genética , Microtúbulos/metabolismo , Estômatos de Plantas/metabolismo , Estômatos de Plantas/fisiologia , Membrana Celular/metabolismo , Proteínas Associadas aos Microtúbulos/metabolismo , Proteínas Associadas aos Microtúbulos/genética , Transporte Proteico , Katanina/metabolismo , Katanina/genética , Movimento Celular , Proteínas de Ciclo CelularRESUMO
Near-infrared (NIR) irradiation has shown potential to stimulate osteogenic differentiation, but the mechanisms are not fully understood. The study is to investigate the effects of NIR laser irradiation on osteoblastic differentiation. Human periodontal ligament stem cells (hPDLSCs) were cultured in osteogenic medium and exposed to 810 nm NIR laser at 0.5 J/cm2 every 48 h. The transient receptor potential vanilloid (TRPV1) channel inhibitor capsazepine (CPZ) was used to evaluate the role of calcium influx. Osteogenic differentiation was assessed by proliferation (CCK-8), alkaline phosphatase (ALP) activity, mineralization (Alizarin Red), and expression of bone markers by PCR and Western blot over 2 weeks. Intracellular calcium was measured by Fluo-4M dye and flow cytometry. Results showed that NIR irradiation enhanced hPDLSC proliferation, ALP activity, mineralization, and bone marker expression, indicating increased osteogenic differentiation. These effects were inhibited by CPZ. NIR induced a transient rise in intracellular calcium peaking at 3 min, which was blocked by CPZ. In conclusion, this study demonstrates that NIR laser irradiation promotes osteogenic differentiation of PDLSCs through the activation of TRPV1 channels and subsequent calcium signaling. Further research is warranted to optimize the treatment parameters and elucidate the detailed signaling pathways involved, paving the way for the clinical application of NIR therapy in the treatment of bone disorders and periodontal disease.
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Grassland caterpillars (Lepidoptera: Lymantriinae: Gynaephora) are the most damaging pests to alpine meadows in the Qinghai-Tibetan Plateau (QTP). Here, we conducted extensive sampling from 39 geographic populations covering almost the entire distribution of the eight QTP Gynaephora (Hübner) species to investigate phylogeographic patterns and speciation based on two mitochondrial genes (COI and ND5). A total of 40 haplotypes were detected in the 39 populations, with >70% of all haplotypes not shared between populations. The monophyletic QTP Gynaephora migrated from non-QTP regions during the Pliocene, corresponding to the uplift of the QTP, suggesting a mode of transport into the QTP. Among the eight QTP Gynaephora species described by morphological characteristics, two species (G. alpherakii and G. menyuanensis) were recovered as monophyletic groups (Clades B and C), while the remaining six formed two monophyletic clades: Clade A (G. qinghaiensis, G. jiuzhiensis, and G. qumalaiensis) and Clade D (G. aureata, G. ruoergensis, and G. minora). These results suggested that the number of the QTP Gynaephora species may be overestimated and further studies based on both morphological and nuclear gene data are needed. Genetic differentiation and speciation of the QTP Gynaephora were likely driven by the QTP uplifts and associated climate fluctuations during the Pleistocene, indicated by divergence time estimation, suggesting that isolation and subsequent divergence was the dominant mode of speciation. The Sanjiangyuan region (i.e., Clade A, characterized by high genetic diversity) may have been a glacial refugium of the QTP Gynaephora, as supported by analyses of gene flow and biogeography. High levels of genetic diversity were found in QTP Gynaephora, without population expansion, which may explain the high-altitude adaptation and outbreaks of grassland caterpillars in alpine meadows of the QTP. This study provides the largest phylogeographic analysis of QTP Gynaephora and improves our understanding of the diversity and speciation of QTP insects.
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OBJECTIVE: This clinical study aimed to evaluate the practical value of integrating an AI diagnostic model into clinical practice for caries detection using intraoral images. METHODS: In this prospective study, 4,361 teeth from 191 consecutive patients visiting an endodontics clinic were examined using an intraoral camera. The AI model, combining MobileNet-v3 and U-net architectures, was used for caries detection. The diagnostic performance of the AI model was assessed using sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy, with the clinical diagnosis by endodontic specialists as the reference standard. RESULTS: The overall accuracy of the AI-assisted caries detection was 93.40%. The sensitivity and specificity were 81.31% (95% CI 78.22%-84.06%) and 95.65% (95% CI 94.94%-96.26%), respectively. The NPV and PPV were 96.49% (95% CI 95.84%-97.04%) and 77.68% (95% CI 74.49%-80.58%), respectively. The diagnostic accuracy varied depending on tooth position and caries type, with the highest accuracy in anterior teeth (96.04%) and the lowest sensitivity for interproximal caries in anterior teeth and buccal caries in premolars (approximately 10%). CONCLUSION: The AI-assisted caries detection tool demonstrated potential for clinical application, with high overall accuracy and specificity. However, the sensitivity varied considerably depending on tooth position and caries type, suggesting the need for further improvement. Integration of multimodal data and development of more advanced AI models may enhance the performance of AI-assisted caries detection in clinical practice.
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Inteligência Artificial , Cárie Dentária , Sensibilidade e Especificidade , Humanos , Cárie Dentária/diagnóstico , Estudos Prospectivos , Masculino , Feminino , Adulto , Pessoa de Meia-Idade , Adolescente , Adulto Jovem , Valor Preditivo dos Testes , IdosoRESUMO
BACKGROUND: To explore the role of gut microbiota in preterm infants at high risk of developing retinopathy of prematurity (ROP). METHODS: Preterm infants with gestational age (GA) < 32 weeks and/or birth weight (BW) < 1500 g born between 2020 and 2021 were prospectively enrolled. Their faecal samples were collected and analysed at different postnatal ages of life using 16S rRNA gene sequencing on the Miseq platform. The main outcome measures were the microbial diversity, taxonomy, relative abundance, bacterial predicted functional analysis, and their associations with different ROP groups. Subgroup analyses were performed by matching their GA and BW across different ROP groups. RESULTS: A total of 268 stool samples were collected from 110 preterm infants, including 13 with type 1 ROP, 44 with type 2 or mild ROP, and 53 without ROP. Type 1 ROP showed no significant difference in microbial diversity up to 8 postnatal weeks (p = 0.057), while type 2 and no ROP groups displayed increased diversity (p = 0.0015 and p = 0.049, respectively). Bifidobacterium genera was notably less abundant in type 1 ROP group at first postnatal week (p = 0.022) and remained low in subsequent weeks. Predicted functional analysis revealed enriched pathways in membrane transport, carbohydrate metabolism, amino acid metabolism, and replication and repair. CONCLUSIONS: Reduced gut microbial diversity may be associated with ROP development in high-risk preterm infants. Further research is needed to comprehend how early-life Bifidobacterium reduction affects metabolism and how targeting microbiome may help for ROP prevention and management.
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To clarify the pollution characteristics and sources of atmospheric VOCs in Zhengzhou City in the summer, multi-site offline sampling and laboratory analyses of atmospheric VOCs in Zhengzhou were carried out in August 2022. The observed and initial VOC volume fraction levels, OFP, SOAFP, and sources were compared. During the study period, the average values of three-site observation and initial φï¼VOCsï¼ during the study period were ï¼31.83 ±13.51ï¼×10-9 and ï¼35.92 ±15.30ï¼×10-9,respectively. Olefins ï¼52.5 %ï¼ and aromatic hydrocarbons ï¼29.7 %ï¼ were the components with a higher photochemical loss rate, and the spatial variations of the observed TVOCs concentration at each site wereï¼ Zhengzhou University ï¼ZZUï¼ > Gangli Reservoir ï¼GLRï¼ > Jingkaiqu ï¼JKQï¼, and the concentrations of alkanes and OVOCs at each site were higher. Olefins and aromatic hydrocarbons were the components that contributed greatly to the formation of O3 and SOA. Motor vehicle sources, solvent-use sources, and industrial sources were the main contributing sources of atmospheric VOCs in Zhengzhou. Compared with the source analysis results based on the initial concentration, the contribution rates of motor vehicle sources, industrial sources, and solvent use sources were relatively high, and the contribution rates of combustion sources, plant sources, and oil and gas volatilization sources were relatively low.
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Multilocus genome-wide association study has become the state-of-the-art tool for dissecting the genetic architecture of complex and multiomic traits. However, most existing multilocus methods require relatively long computational time when analyzing large datasets. To address this issue, in this study, we proposed a fast mrMLM method, namely, best linear unbiased prediction multilocus random-SNP-effect mixed linear model (BLUPmrMLM). First, genome-wide single-marker scanning in mrMLM was replaced by vectorized Wald tests based on the best linear unbiased prediction (BLUP) values of marker effects and their variances in BLUPmrMLM. Then, adaptive best subset selection (ABESS) was used to identify potentially associated markers on each chromosome to reduce computational time when estimating marker effects via empirical Bayes. Finally, shared memory and parallel computing schemes were used to reduce the computational time. In simulation studies, BLUPmrMLM outperformed GEMMA, EMMAX, mrMLM, and FarmCPU as well as the control method (BLUPmrMLM with ABESS removed), in terms of computational time, power, accuracy for estimating quantitative trait nucleotide positions and effects, false positive rate, false discovery rate, false negative rate, and F1 score. In the reanalysis of two large rice datasets, BLUPmrMLM significantly reduced the computational time and identified more previously reported genes, compared with the aforementioned methods. This study provides an excellent multilocus model method for the analysis of large-scale and multiomic datasets. The software mrMLM v5.1 is available at BioCode (https://ngdc.cncb.ac.cn/biocode/tool/BT007388) or GitHub (https://github.com/YuanmingZhang65/mrMLM).
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Algoritmos , Estudo de Associação Genômica Ampla , Polimorfismo de Nucleotídeo Único , Estudo de Associação Genômica Ampla/métodos , Estudo de Associação Genômica Ampla/estatística & dados numéricos , Polimorfismo de Nucleotídeo Único/genética , Oryza/genética , Locos de Características Quantitativas/genética , Modelos GenéticosRESUMO
Isoflavone is a secondary metabolite of the soybean phenylpropyl biosynthesis pathway with physiological activity and is beneficial to human health. In this study, the isoflavone content of 205 soybean germplasm resources from 3 locations in 2020 showed wide phenotypic variation. A joint genome-wide association study (GWAS) and weighted gene coexpression network analysis (WGCNA) identified 33 single-nucleotide polymorphisms and 11 key genes associated with soybean isoflavone content. Gene ontology enrichment analysis, gene coexpression, and haplotype analysis revealed natural variations in the Glyma.12G109800 (GmOMT7) gene and promoter region, with Hap1 being the elite haplotype. Transient overexpression and knockout of GmOMT7 increased and decreased the isoflavone content, respectively, in hairy roots. The combination of GWAS and WGCNA effectively revealed the genetic basis of soybean isoflavone and identified potential genes affecting isoflavone synthesis and accumulation in soybean, providing a valuable basis for the functional study of soybean isoflavone.
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Regulação da Expressão Gênica de Plantas , Estudo de Associação Genômica Ampla , Glycine max , Isoflavonas , Proteínas de Plantas , Polimorfismo de Nucleotídeo Único , Sementes , Glycine max/genética , Glycine max/metabolismo , Glycine max/química , Isoflavonas/metabolismo , Isoflavonas/análise , Sementes/genética , Sementes/química , Sementes/metabolismo , Proteínas de Plantas/genética , Proteínas de Plantas/metabolismo , Redes Reguladoras de GenesRESUMO
The transcription factor STAT3 is a promising target for the treatment of non-small cell lung cancer (NSCLC). STAT3 activity is mainly dependent on phosphorylation at tyrosine 705 (pSTAT3-Y705), but the modulation on pSTAT3-Y705 is elusive. By screening a library of deubiquitinases (Dubs), we found that the Otub1 increases STAT3 transcriptional activity. As a Dub, Otub1 binds to pSTAT3-Y705 and specifically abolishes its K48-linked ubiquitination, therefore preventing its degradation and promoting NSCLC cell survival. The Otub1/pSTAT3-Y705 axis could be a potential target for the treatment of NSCLC. To explore this concept, we screen libraries of FDA-approved drugs and natural products based on STAT3-recognition element-driven luciferase assay, from which crizotinib is found to block pSTAT3-Y705 deubiquitination and promotes its degradation. Different from its known action to induce ALK positive NSCLC cell apoptosis, crizotinib suppresses ALK-intact NSCLC cell proliferation and colony formation but not apoptosis. Furthermore, crizotinib also suppresses NSCLC xenograft growth in mice. Taken together, these findings identify Otub1 as the first deubiquitinase of pSTAT3-Y705 and provide that the Otub1/pSTAT3-Y705 axis is a promising target for the treatment of NSCLC.
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Despite intensive control efforts, Foot and mouth disease (FMD) outbreaks continue to occur regularly in Egypt and resulting in dramatic economic losses to the livestock industry. During 2018 and 2022, FMD was clinically suspected among previously vaccinated cattle in Beheira and Kafr El-Sheikh provinces, Egypt. FMDV RNA was detected in 18 (45%) out of 40 epithelial tissue samples using real-time RT-PCR based on a pan-FMDV primers set. The 2018 outbreak isolates (n = 8) included the FMDV serotypes A and SAT2, whereas all isolates (n = 10) from the 2022 outbreak belonged to the FMDV serotype A. Four selected isolates, designated FMDV/SAT2/EGY/Beheira/2018, FMDV/A/EGY/Kafr El-Sheikh/2018, FMDV/A/EGY/Kafr El-Sheikh/2022 and FMDV/A/EGY/Behiera/2022, were characterized on the basis of partial VP1 gene sequence analysis. The FMDV/SAT2/EGY/Beheira/2018 strain was clustered within the Lib-12 lineage of the topotype VII and shared 79.2-98.4% nucleotide identity with other Egyptian SAT2 strains available in Genbank database. On the other hand, the three FMDV serotype A sequences shared 74.4-99.1% nucleotide identity with each other. Also, they were phylogenetically classified within two distinct topotypes. The FMDV/A/Egy/Kafr El-Sheikh/2018 strain was grouped within the Asian topotype, meanwhile the FMDV/A/EGY/Kafr El-Sheikh/2022 and FMDV/A/EGY/Behiera/2022 strains were grouped together within the genotype IV of the African topotype. Interestingly, the deduced amino acid sequences of the four strains displayed numerous variations in comparison to the vaccine strains currently used in Egypt. In addition, most of these variations were present in prominent antigenic positions in the VP1 protein. These findings raise a crucial need to validate the protective potential of the vaccine strains against the newly emerging FMDV field strains and to update the vaccination strategy accordingly.
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Doenças dos Bovinos , Surtos de Doenças , Vírus da Febre Aftosa , Febre Aftosa , Filogenia , Vírus da Febre Aftosa/genética , Vírus da Febre Aftosa/classificação , Vírus da Febre Aftosa/isolamento & purificação , Febre Aftosa/epidemiologia , Febre Aftosa/virologia , Egito/epidemiologia , Animais , Bovinos , Doenças dos Bovinos/epidemiologia , Doenças dos Bovinos/virologia , RNA Viral/genética , Sorogrupo , Proteínas do Capsídeo/genéticaRESUMO
Alismatis Rhizoma (AR), a traditional Chinese medicine for treating obesity in traditional Chinese medicine clinic, is recognized as a promising source of lead compounds of lipase inhibitors. Ultrafiltration centrifugal combined with liquid chromatography-mass spectrometry (UF-LC-MS) was used for screening potential lipase inhibitors from AR, and the result indicated the binding capacity between compound 7 and lipase (92.3 ± 1.28 %) was significantly higher than other triterpenoids, and was identified as alisol C 23-acetate. It exhibited a mixed-type inhibitory behavior with an IC50 value of 84.88 ± 1.03 µM. Subsequently, the binding pockets of alisol C 23-acetate to lipase were predicted, and their binding mechanism was explored with molecular simulation. Pocket 1 (active center) and pocket 4 might be the orthosteric and allosteric binding sites of alisol C 23-acetate to lipase, respectively. The interaction between alisol C 23-acetate and lipase was identified to involve key amino acid residues such as GLY-77, PHE-78, TYR-115, LEU-154, PRO-181, PHE-216, LEU-264, ASP-278, GLN-306, ARG-313, and VAL-426. Meanwhile, alisol C 23-acetate remained stable during the intestinal digestive but degraded in the gastric digestion. Overall, alisol C 23-acetate is expected to be the lead compound of lipase inhibitors for treating obesity.
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Alisma , Colestenonas , Inibidores Enzimáticos , Lipase , Simulação de Dinâmica Molecular , Rizoma , Lipase/antagonistas & inibidores , Lipase/química , Lipase/metabolismo , Inibidores Enzimáticos/química , Inibidores Enzimáticos/farmacologia , Colestenonas/química , Alisma/química , Rizoma/química , Simulação de Acoplamento Molecular , Avaliação Pré-Clínica de Medicamentos , Sítios de LigaçãoRESUMO
Accurately predicting the state of health (SOH) of lithium-ion batteries is fundamental in estimating their remaining lifespan. Various parameters such as voltage, current, and temperature significantly influence the battery's SOH. However, existing data-driven methods necessitate substantial data from the target domain for training, which hampers the assessment of lithium-ion battery health at the initial stage. To address these challenges, this paper introduces the multi-head attention-time convolution network (MHAT-TCN), amalgamating multi-head attention learning with random block dropout techniques. Additionally, it employs grey relational analysis (GRA) to select health indicators (HIs) highly correlated with battery capacity, thereby enhancing the accuracy of the model training. Employing leave-one-out crossvalidation (LOOCV), the MHAT-TCN network is pre-trained using data from batteries of the same model to facilitate comprehensive prediction of the target battery throughout its operational period. Results demonstrate that the MHAT-TCN network trained on HIs outperforms other models, enabling precise predictions across the entire operational period.
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Acute respiratory distress syndrome (ARDS) is a critical illness in critically unwell patients, characterized by refractory hypoxemia and shock. This study evaluates an early detection tool and investigates the relationship between hypoxia and circulatory shock in ARDS, to improve diagnostic precision and therapy customization. We used a porcine model, inducing ARDS with mechanical ventilation and intratracheal plus intravenous lipopolysaccharide (LPS) injection. Hemodynamic changes were monitored using an Acumen IQ sensor and a ForeSight Elite sensor connected to the HemoSphere platform. We evaluated tissue damage, inflammatory response, and hypoxia-inducible factor (HIF) alterations using enzyme-linked immunosorbent assay and immunohistochemistry. The results showed severe hypotension and increased heart rates post-LPS exposure, with a notable rise in the hypotension prediction index (HPI) during acute lung injury (p = 0.024). Tissue oxygen saturation dropped considerably in the right brain region. Interestingly, post-injury HIF-2α levels were lower at the end of the experiment. Our findings imply that the HPI can effectively predict ARDS-related hypotension. HIF expression levels may serve as possible markers of rapid ARDS progression. Further research should be conducted on the clinical value of this novel approach in critical care, as well as the relationship between the HIF pathway and ARDS-associated hypotension.
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The hepatitis delta virus (HDV) is a unique pathogen with significant global health implications, affecting individuals who are coinfected with the hepatitis B virus (HBV). HDV infection has profound clinical consequences, manifesting either as coinfection with HBV, resulting in acute hepatitis and potential liver failure, or as superinfection in chronic HBV cases, substantially increasing the risk of cirrhosis and hepatocellular carcinoma. Given the complex dynamics of HDV infection and the urgent need for advanced research tools, this article introduces vHDvDB 2.0, a comprehensive HDV full-length sequence database. This innovative platform integrates data preprocessing, secondary structure prediction, and epidemiological research tools. The primary goal of vHDvDB 2.0 is to consolidate HDV sequence data into a user-friendly repository, thereby facilitating access for researchers and enhancing the broader scientific understanding of HDV. The significance of this database lies in its potential to streamline HDV research by providing a centralized resource for analyzing viral sequences and exploring genotype-specific characteristics. It will also enable more in-depth research within the HDV sequence domains.
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Hepatite D , Vírus Delta da Hepatite , Vírus Delta da Hepatite/genética , Vírus Delta da Hepatite/classificação , Humanos , Hepatite D/virologia , Hepatite D/epidemiologia , Bases de Dados Genéticas , Genótipo , Genoma Viral , Coinfecção/virologia , Biologia Computacional/métodos , Hepatite B/virologiaRESUMO
Interspecific genomic introgression is an important evolutionary process with respect to the generation of novel phenotypic diversity and adaptation. A key question is how gene flow perturbs gene expression networks and regulatory interactions. Here, an introgression population of two species of allopolyploid cotton (Gossypium) to delineate the regulatory perturbations of gene expression regarding fiber development accompanying fiber quality change is utilized. De novo assembly of the recipient parent (G. hirsutum Emian22) genome allowed the identification of genomic variation and introgression segments (ISs) in 323 introgression lines (ILs) from the donor parent (G. barbadense 3-79). It documented gene expression dynamics by sequencing 1,284 transcriptomes of developing fibers and characterized genetic regulatory perturbations mediated by genomic introgression using a multi-locus model. Introgression of individual homoeologous genes exhibiting extreme low or high expression bias can lead to a parallel expression bias in their non-introgressed duplicates, implying a shared yet divergent regulatory fate of duplicated genes following allopolyploidy. Additionally, the IL N182 with improved fiber quality is characterized, and the candidate gene GhFLAP1 related to fiber length is validated. This study outlines a framework for understanding introgression-mediated regulatory perturbations in polyploids, and provides insights for targeted breeding of superior upland cotton fiber.
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Microplastics (MPs) pose significant concerns for marine ecological security due to their minuteness and ubiquity. However, comprehensive knowledge on their distribution and fate in seawater columns remains limited. This study investigated the abundances and characteristics of MPs across 3-6 water layers in the South Yellow Sea and East China Sea. Results indicate that high-abundance small MPs (< 100 µm) (average 6567 items/m3) were hidden beneath the sea-surface, predominantly fine-grained particles (< 20 µm) and high-density polymers (> 1.03 g/cm3). The total suspended MPs (5.0-834.2 µm) are estimated at 2.9-3.1 × 1017 particles, with most of them occurring in upper layers. In profiles, their distribution varied by physical properties with depth; fragment-shaped and high-density MPs increased in proportion at greater depths, contrasting with fibrous MPs. These MPs originated primarily from the Yangtze River and their winter transport was driven by the Yangtze River Dilution Water, East China Sea Coastal Current, and Yellow Sea Warm Current, resulting in their accumulation in coastal and estuarine regions. Consequently, the Yangtze River Estuary ecosystem faces substantial risks from MP pollution throughout the water column. This work unveils the prevalence of small MPs in coastal water columns and intricate interaction between their fate and hydrodynamic conditions.
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The human immunodeficiency virus type 1 (HIV-1) reservoir consists of latently infected cells which present a major obstacle to achieving a functional cure for HIV-1. The formation and maintenance of HIV-1 latency have been extensively studied, and latency-reversing agents (LRAs) that can reactivate latent HIV-1 by targeting the involved host factors are developed; however, their clinical efficacies remain unsatisfactory. Therefore, it is imperative to identify novel targets for more potential candidates or better combinations for LRAs. In this study, we utilized CRISPR affinity purification in situ of regulatory elements system to screen for host factors associated with the HIV-1 long terminal repeat region that could potentially be involved in HIV-1 latency. We successfully identified that origin recognition complex 1 (ORC1), the largest subunit of the origin recognition complex, contributes to HIV-1 latency in addition to its function in DNA replication initiation. Notably, ORC1 is enriched on the HIV-1 promoter and recruits a series of repressive epigenetic elements, including DNMT1 and HDAC1/2, and histone modifiers, such as H3K9me3 and H3K27me3, thereby facilitating the establishment and maintenance of HIV-1 latency. Moreover, the reactivation of latent HIV-1 through ORC1 depletion has been confirmed across various latency cell models and primary CD4+ T cells from people living with HIV-1. Additionally, we comprehensively validated the properties of liquid-liquid phase separation (LLPS) of ORC1 from multiple perspectives and identified the key regions that promote the formation of LLPS. This property is important for the recruitment of ORC1 to the HIV-1 promoter. Collectively, these findings highlight ORC1 as a potential novel target implicated in HIV-1 latency and position it as a promising candidate for the development of novel LRAs. IMPORTANCE: Identifying host factors involved in maintaining human immunodeficiency virus type 1 (HIV-1) latency and understanding their mechanisms prepares the groundwork to discover novel targets for HIV-1 latent infection and provides further options for the selection of latency-reversing agents in the "shock" strategy. In this study, we identified a novel role of the DNA replication factor origin recognition complex 1 (ORC1) in maintaining repressive chromatin structures surrounding the HIV-1 promoter region, thereby contributing to HIV-1 latency. This discovery expands our understanding of the non-replicative functions of the ORC complex and provides a potential therapeutic strategy for HIV-1 cure.