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Purpose: Accurate detection of microcalcifications ( µ Calcs ) is crucial for the early detection of breast cancer. Some clinical studies have indicated that digital breast tomosynthesis (DBT) systems with a wide angular range have inferior µ Calc detectability compared with those with a narrow angular range. This study aims to (1) provide guidance for optimizing wide-angle (WA) DBT for improving µ Calcs detectability and (2) prioritize key optimization factors. Approach: An in-silico DBT pipeline was constructed to evaluate µ Calc detectability of a WA DBT system under various imaging conditions: focal spot motion (FSM), angular dose distribution (ADS), detector pixel pitch, and detector electronic noise (EN). Images were simulated using a digital anthropomorphic breast phantom inserted with 120 µ m µ Calc clusters. Evaluation metrics included the signal-to-noise ratio (SNR) of the filtered channel observer and the area under the receiver operator curve (AUC) of multiple-reader multiple-case analysis. Results: Results showed that FSM degraded µ Calcs sharpness and decreased the SNR and AUC by 5.2% and 1.8%, respectively. Non-uniform ADS increased the SNR by 62.8% and the AUC by 10.2% for filtered backprojection reconstruction with a typical clinical filter setting. When EN decreased from 2000 to 200 electrons, the SNR and AUC increased by 21.6% and 5.0%, respectively. Decreasing the detector pixel pitch from 85 to 50 µ m improved the SNR and AUC by 55.6% and 7.5%, respectively. The combined improvement of a 50 µ m pixel pitch and EN200 was 89.2% in the SNR and 12.8% in the AUC. Conclusions: Based on the magnitude of impact, the priority for enhancing µ Calc detectability in WA DBT is as follows: (1) utilizing detectors with a small pixel pitch and low EN level, (2) allocating a higher dose to central projections, and (3) reducing FSM. The results from this study can potentially provide guidance for DBT system optimization in the future.
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In 2022, the monkeypox virus (mpox virus, MPXV) exhibited global dissemination across six continents, representing a notable challenge owing to the scarcity of targeted antiviral interventions. Passive immunotherapy, such as the use of monoclonal antibodies (mAbs) and bispecific antibodies (bsAbs), has emerged as a promising option for antiviral regimens. Here, we generated several mAbs against M1R and B6R of MPXV, and subsequently characterized the antiviral activity of these antibodies both in vitro and in vivo. Two neutralizing mAbs, M1H11 and M3B2, targeting M1R, and one B6R-specific mAb, B7C9, were identified. They exhibited varying antiviral efficacy against MPXV and vaccinia virus (VACV) in vitro and orthopoxvirus infection in vivo. A cocktail comprising M1H11 and M3B2 demonstrated a superior protective effect in vivo. A bsAb, Bis-M1M3, was engineered by conjugating the fragment crystallizable (Fc) region of the human-mouse chimeric engineered M1H11 with the single-chain fragment variable (scFv) of M3B2. In mice challenged with MPXV, Bis-M1M3 showed a notable protective effects, including the absence of mortality. Analysis of neutralization mechanism showed that these mAbs and Bis-M1M3 exerted virus-neutralizing effects before the virus infects cells. In vivo pharmacokinetic experiments showed that Bis-M1M3 has a long half-life in rhesus macaques. This study provides crucial insights for further research on -broad-spectrum antiviral drugs against MPXV and other orthopoxviruses.
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OBJECTIVE: This work aims to investigate whether RIP2 silencing in naive CD4+ T cells from lupus-prone mice impacts Th17 cell activity or differentiation in vitro. METHODS: Naive CD4+ T cells isolation from MRL/lpr mice's spleens. Three RNA interference target sequences of RIP2 were packaged with lentivirus and transfected into naive CD4+ T cells. The shRIP2 with the highest interference efficiency was selected and transfected into naive CD4+ T cells. Naive CD4+ T cells were cultured under conventional (TGF-ß1 and IL-6) and pathogenic (IL-6, IL-23, IL-1ß) differentiation environments, respectively. Then, RT-qPCR, Western blot or Flow Cytometry were used for measuring the amounts of RIP2 and IL-17 and the differentiation of Th17 cells in two settings. RESULTS: Under the conventional Th17 (cTh17) cell differentiation environment (TGF-ß1 and IL-6), RIP2 deficiency is linked to decreased IL-17A levels (1.00 ± 0.03 vs 0.80 ± 0.03) and attenuated cTh17 cell (2.46 ± 0.08 vs 0.78 ± 0.03) differentiation (all, P < 0.05). Under the pathogenic Th17 (pTh17) cell environment (IL-1ß, IL-23, IL-6), RIP2 deficiency is linked to elevated IL-17A levels (1.03 ± 0.05 vs 1.63 ± 0.07) and enhanced pTh17 cell (3.69 ± 0.19 vs 5.49 ± 0.10) differentiation (all, P < 0.05). CONCLUSION: Our data suggest that RIP2 inhibition induces preferential differentiation of naive CD4+ T cells to pathogenic Th17 cells, while being able to upregulate IL-17A levels in the context of pTh17 cell differentiation. Our study opens up new research areas to reveal the underlying mechanisms and potential therapeutic targets for the prevention and treatment of SLE patients. Key Points ⢠Silencing of RIP2 in naive CD4+ T cells from lupus-prone mice promotes pathogenic Th17 (pTh17) cell differentiation and IL-17A production under pTh17 cell (IL-1ß, IL-23, and IL-6) conditions. ⢠RIP2 deficiency in naive CD4+ T cells reduces conventional Th17 (cTh17) cell differentiation and IL-17A production under cTh17 cell (TGF-ß1 and IL-6) conditions. ⢠RIP2-deficient naive CD4+ T cells preferentially differentiate towards pTh17 cells rather than cTh17 cells in vitro. ⢠Inhibition of RIP2 may be involved in the development of SLE via effects on Th17/IL-17.
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Sclerotinia sclerotiorum (Lib.) de Bary is the causative agent of stem white mold disease which severely reduces major crop productivity including soybean and rapeseed worldwide. The current study aimed to explore plant growth-promoting traits and biocontrol of new isolated Bacillus subtilis BS-2301 to suppress S. sclerotiorum through various mechanisms. The results indicated that the BS-2301 exhibited strong biocontrol potential against S. sclerotiorum up to 74% both in dual culture and partition plate experiments. The BS-2301 and its crude extract significantly suppressed S. sclerotiorum growth involving excessive reactive oxygen species (ROS) production in mycelia for rapid death. Furthermore, the treated hyphae produced low oxalic acid (OA), a crucial pathogenicity factor of S. sclerotiorum. The SEM and TEM microscopy of S. sclerotiorum showed severe damage in terms of cell wall, cell membrane breakage, cytoplasm displacement, and organelles disintegration compared to control. The pathogenicity of S. sclerotiorum exposed to BS-2301 had less disease progression potential on soybean leaves in the detached leaf assay experiment. Remarkably, the strain also demonstrated broad-range antagonistic activity with 70%, and 68% inhibition rates against Phytophthora sojae and Fusarium oxysporum, respectively. Furthermore, the strain exhibits multiple plant growth-promoting and disease-prevention traits, including the production of indole-3-acetic acid (IAA), siderophores, amylases, cellulases and proteases as well as harboring calcium phosphate decomposition activity. In comparison to the control, the BS-2301 also showed great potential for enhancing soybean seedlings growth for different parameters, including shoot length 31.23%, root length 29.87%, total fresh weight 33.45%, and total dry weight 27.56%. The antioxidant enzymes like CAT, POD, SOD and APX under BS-2301 treatment were up-regulated in S. sclerotiorum infected plants along with the positive regulation of defense-related genes (PR1-2, PR10, PAL1, AOS, CHS, and PDF1.2). These findings demonstrate that the BS-2301 strain possesses a notable broad-spectrum biocontrol potential against different phytopathogens and provides new insight in suppressing S. sclerotiorum through various mechanisms. Therefore, BS-2301 will be helpful in the development of biofertilizers for sustainable agricultural practices.
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Two prevalent ecological mechanisms, niche dimensionality and light asymmetry, may well explain species loss with fertilization gradients in grassland communities. Although there is still controversy surrounding the two competitive mechanisms that maintain species coexistence, few studies have examined the patterns of change in dissimilarity in species composition (ß-diversity) and the relative explanatory contributions of plant functional traits to α- and ß-diversity when multiple resources are added. To clarify this knowledge gap, we conducted a 6-year experiment of resource addition in an alpine meadow on the Qinghai-Tibet Plateau to assess how species richness and spatial ß-diversity are affected by increasing numbers of added resources (NAR) and light limitation. Our results found that both NAR and light limitation led to decreased species richness, suggesting that niche dimensionality and light asymmetry may contribute equally to species loss, rather than either alone. Moreover, NAR is the primary factor responsible for the increase in ß-diversity, which exhibits a negative relationship with species richness. Furthermore, the increase in height is the most likely explanation for ß-diversity, while the increase in SLA is the most likely explanation for species richness, thereby indicating the changes in species richness and composition can be effectively explained by the response of certain morphological functional traits with the addition of multiple resources. Future research should focus on the complex interactions of different ecological mechanisms that contribute to the maintenance of biodiversity in grassland ecosystems all over the world.
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OBJECTIVE: To assess the effectiveness of Internet-based self-help interventions in treating depression in adolescents and young adults. METHODS: A systematic search was conducted across six databases, including PubMed, to identify randomized controlled trials (RCTs) that satisfied the specified inclusion and exclusion criteria. The intervention measure consisted of Internet-based self-help interventions. RESULTS: A total of 23 randomized controlled trials (RCTs) were included in this analysis. Meta-analysis indicated that Internet-based self-help therapies significantly reduced depression scores in adolescents and young adults. (OR = -0.68, 95%CI [-0.88, -0.47], P < 0.001). We examined the effects of patient recruitment from various regions, medication usage, therapist involvement, weekly intervention time, and intervention duration. Patients selected from school, primary healthcare centers, clinics and local communities had better results. Intervention lasting 30 to 60 min and 60 to180 minutes per week were effective in the short term. CONCLUSION: The internet-based self-help intervention can be effective in treating depression in adolescents and young adults. However, factors such as patient recruitment locations, medication usage, Therapists' involvement, weekly intervention time, and intervention duration interacted with the outcome. Subgroup analysis on potential adverse effects and gender was impossible due to insufficient data from the included studies.
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Intervención basada en la Internet , Autocuidado , Humanos , Adolescente , Adulto Joven , Autocuidado/métodos , Depresión/terapia , Internet , Ensayos Clínicos Controlados Aleatorios como Asunto , Trastorno Depresivo/terapia , Adulto , Resultado del TratamientoRESUMEN
Seroepidemiological characteristics of human papillomavirus (HPV) in community residents reflect natural infection and can guide the reform of vaccination programs. A population-based serological survey was conducted in Guangdong Province. Serum anti-HPV IgG antibody levels were determined by an ELISA. Neutralizing antibodies against HPV6, 11, 16, and 18 were detected via a pseudovirus-based neutralization assay (PBNA). A total of 5122 serum samples were collected from community residents, including 1989 males and 3133 females, in three cities of Guangdong Province. The rate of HPV IgG antibody positivity in females was 5.39% (95% CI: 4.6-6.2), which was greater than that in males (2.36%; 95% CI: 1.7-3.1). HPV IgG antibodies were more frequently detected in females aged 51-60 years (11.30%; 95% CI: 7.6-16.0), whereas in males, the detection increased with age and reached 4.94% (95% CI: 2.8-6.9) in the group aged ≥71 years. The seropositivity of neutralizing antibodies against HPV6 and 11 was greater than that against HPV16 and 18. The serum neutralizing antibody titers in individuals who received three doses of a vaccine were 7- to 12-fold greater than those in individuals who did not receive the vaccine. The neutralizing antibody titers slightly decreased within 40 months and ranged from 0.038 to 0.057 log ED50 per month. A moderate consistency between the HPV ELISA and PBNA results was observed (Kappa score = 0.49, r = 0.249, 0.635, 0.382, and 0.466 for HPV6, 11, 16, and 18, respectively). The HPV seropositivity rate among healthy residents of Guangdong Province was found to be low among children and adolescents and to increase with age. The serum neutralizing antibody titers were significantly greater in the vaccine group than that in the control group, and this difference persisted over time, which indicated promising protection against HPV infection.
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Anticuerpos Neutralizantes , Anticuerpos Antivirales , Ensayo de Inmunoadsorción Enzimática , Inmunoglobulina G , Infecciones por Papillomavirus , Humanos , China/epidemiología , Estudios Seroepidemiológicos , Masculino , Femenino , Anticuerpos Antivirales/sangre , Infecciones por Papillomavirus/epidemiología , Infecciones por Papillomavirus/prevención & control , Infecciones por Papillomavirus/virología , Adulto , Persona de Mediana Edad , Anticuerpos Neutralizantes/sangre , Adulto Joven , Anciano , Adolescente , Niño , Inmunoglobulina G/sangre , Preescolar , Vacunas contra Papillomavirus/inmunología , Vacunas contra Papillomavirus/administración & dosificación , Papillomaviridae/inmunología , Papillomaviridae/genética , Papillomaviridae/clasificación , Pruebas de Neutralización , Vacunación/estadística & datos numéricos , Anciano de 80 o más Años , Lactante , Virus del Papiloma HumanoRESUMEN
We performed large-scale genome-wide gene-sleep interaction analyses of lipid levels to identify novel genetic variants underpinning the biomolecular pathways of sleep-associated lipid disturbances and to suggest possible druggable targets. We collected data from 55 cohorts with a combined sample size of 732,564 participants (87% European ancestry) with data on lipid traits (high-density lipoprotein [HDL-c] and low-density lipoprotein [LDL-c] cholesterol and triglycerides [TG]). Short (STST) and long (LTST) total sleep time were defined by the extreme 20% of the age- and sex-standardized values within each cohort. Based on cohort-level summary statistics data, we performed meta-analyses for the one-degree of freedom tests of interaction and two-degree of freedom joint tests of the main and interaction effect. In the cross-population meta-analyses, the one-degree of freedom variant-sleep interaction test identified 10 loci (P int <5.0e-9) not previously observed for lipids. Of interest, the ASPH locus (TG, LTST) is a target for aspartic and succinic acid metabolism previously shown to improve sleep and cardiovascular risk. The two-degree of freedom analyses identified an additional 7 loci that showed evidence for variant-sleep interaction (P joint <5.0e-9 in combination with P int <6.6e-6). Of these, the SLC8A1 locus (TG, STST) has been considered a potential treatment target for reduction of ischemic damage after acute myocardial infarction. Collectively, the 17 (9 with STST; 8 with LTST) loci identified in this large-scale initiative provides evidence into the biomolecular mechanisms underpinning sleep-duration-associated changes in lipid levels. The identified druggable targets may contribute to the development of novel therapies for dyslipidemia in people with sleep disturbances.
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Background: Patients undergoing painless egg retrieval are prone to preoperative anxiety, and whether preoperative anxiety induces postoperative nausea and vomiting (PONV) is debated. The primary objective of this prospective, randomized, controlled study was to compare the clinical effect of ondansetron in preventing PONV for patients with and without preoperative anxiety. The secondary objective was to investigate whether preoperative anxiety was associated with PONV. Methods: The self-rating anxiety scale (SAS) was used to assess the anxiety patients undergoing painless egg retrieval. Patients with a SAS standard score of 50-60 were selected to the anxiety group (n=105); and patients with a SAS standard score of 25-35 were assigned to the non-anxiety group (n=104). Venous blood samples of both groups of patients were obtained during admission and 1 hour after surgery, and all serotonin (5-HT) levels were tested using an enzyme-linked immunosorbent assay. The anxiety group was then randomly assigned into two subgroups: ondansetron (AO group, n=53) and placebo saline (AS group, n=52). Similarly, patients in the non-anxiety group were also randomly assigned to one of two subgroups: ondansetron (NO group, n=51) and placebo saline (NS group, n=53). The AO and NO groups received 8 mg (4 mL) of intravenous ondansetron 15 minutes before surgery, while the AS and NS groups received an equivalent volume (4 mL) of normal saline. We then analyzed the vital signs, risk factors for nausea and vomiting, intraoperative anesthetic doses, incidences of nausea and vomiting in 24 hours after surgery, serum 5-HT level before and after surgery, other adverse responses, pain scores, and satisfaction. Results: A total of 200 patients eventually completed this study. The serum 5-HT values in the anxiety group were higher before and after surgery than in the non-anxiety group (P<0.05), but there was no significant difference in serum 5-HT before and after surgery in the same group (P>0.05). The incidence of PONV was more significant in the AS group than in the NS group (P<0.05). The incidence of PONV was also higher in the AS group than in the AO group (P<0.05). Still, there was no statistically significant difference between the NO and NS groups (P>0.05). There were no significant differences between the four groups in vital signs, risk factors for nausea and vomiting, intraoperative anesthetic doses, other adverse responses and pain scores (P>0.05). Patients in the AS group had lower satisfaction scores than those in the other three groups (P<0.05). Conclusions: Patients experiencing preoperative anxiety have a greater risk of PONV following painless egg retrieval compared to those without preoperative anxiety. Ondansetron can reduce the occurrence of PONV in patients with preoperative anxiety, but it has no discernible preventative effect in non-anxious patients. Trial Registration: Chinese Clinical Trial Registry ChiCTR2400079504.
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Multimodal imaging probes play a crucial role in overcoming the limitations associated with single-mode imaging for clinical medical diagnosis. This study focuses on the development of a photoresponsive fluorine-containing water-soluble polymer (PF) through RAFT polymerization. Subsequently, a polymer-gadolinium(III) hybrid (PF-Gd) dual-modal probe capable of T1-weighted 1H MRI and 19F MRI was synthesized via postmodification of PF with a Gd-DOTA derivative. Under physiological conditions (pH = 7.4), the hybrids exhibit UV-activated 19F NMR/MRI and enhanced 1H MRI. The inclusion of Gd3+ facilitates the acceleration of water molecule T1 relaxation, leading to high-intensity 1H MRI contrast. Leveraging the paramagnetic relaxation enhancement (PRE) effect between fluorine atoms and Gd3+, the restoration of Gd3+-accelerated 19F T2 relaxation enables precise photoactivation of 19F MRI signals, transitioning from the "OFF" to the "ON" state. This study provides an important reference for the development of hybrid systems that function as real-time diagnostic tools and offers controlled activation for multimodal imaging probes.
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The circular RNA (circRNA) plays a crucial role in various biological processes, particularly posttranscriptional regulation. However, the role of circRNA in the development of goat skeletal muscle has not been thoroughly explored. Here, we identified circPAPD7, which is a novel circular RNA that is preferentially expressed in the skeletal muscle. Functional assays demonstrated that circPAPD7 promoted proliferation and inhibited differentiation in goat skeletal muscle satellite cells (MuSCs). Mechanistically, it was discovered that circPAPD7 interacts with miR-26a-5p. Moreover, the rescue experiments indicated that the overexpression of circPAPD7 may reverse the inhibitory impact of miR-26a-5p on myoblast proliferation and the accelerated effects on differentiation. Furthermore, we provided evidence that circPAPD7 functions as a sponge for miR-26a-5p, thereby facilitating the upregulation of EZH2 expression in goat MuSCs. Together, the results revealed that circPAPD7 promote proliferation and inhibit differentiation of goat MuSCs via the miR-26a-5p/EZH2 pathway.
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BACKGROUND: Telomeres are a critical component of chromosome integrity and are essential to the development of cancer and cellular senescence. The regulation of breast cancer by telomere-associated lncRNAs is not fully known, though. The goals of this study were to describe predictive telomere-related LncRNAs (TRL) in breast cancer and look into any possible biological roles for these RNAs. METHODS: We obtained RNA-seq data, pertinent clinical data, and a list of telomere-associated genes from the cancer genome atlas and telomere gene database, respectively. We subjected differentially expressed TRLs to co-expression analysis and univariate Cox analysis to identify a prognostic TRL. Using LASSO regression analysis, we built a prognostic model with 14 TRLs. The accuracy of the model's prognostic predictions was evaluated through the utilization of Kaplan-Meier (K-M) analysis as well as receiver operating characteristic (ROC) curve analysis. Additionally, immunological infiltration and immune drug prediction were done using this model. Patients with breast cancer were divided into two subgroups using cluster analysis, with the latter analyzed further for variations in response to immunotherapy, immune infiltration, and overall survival, and finally, the expression of 14-LncRNAs was validated by RT-PCR. RESULTS: We developed a risk model for the 14-TRL, and we used ROC curves to demonstrate how accurate the model is. The model may be a standalone prognostic predictor for patients with breast cancer, according to COX regression analysis. The immune infiltration and immunotherapy results indicated that the high-risk group had a low level of PD-1 sensitivity and a high number of macrophages infiltrating. In addition, we've discovered a number of small-molecule medicines with considerable for use in treating high-risk groups. The cluster 2 subtype showed the highest immune infiltration, the highest immune checkpoint expression, and the worst prognosis among the two subtypes defined by cluster analysis, which requires more attention and treatment. CONCLUSION: As a possible biomarker, the proposed 14-TRL signature could be utilized to evaluate clinical outcomes and treatment efficacy in breast cancer patients.
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Biomarcadores de Tumor , Neoplasias de la Mama , ARN Largo no Codificante , Telómero , Humanos , Neoplasias de la Mama/genética , Neoplasias de la Mama/patología , Neoplasias de la Mama/mortalidad , Femenino , ARN Largo no Codificante/genética , Pronóstico , Biomarcadores de Tumor/genética , Biomarcadores de Tumor/metabolismo , Telómero/genética , Tasa de Supervivencia , Regulación Neoplásica de la Expresión Génica , Persona de Mediana Edad , Curva ROC , Estudios de Seguimiento , Perfilación de la Expresión Génica , Estimación de Kaplan-MeierRESUMEN
The objective of our study was to develop predictive models using Visually Accessible Rembrandt Images (VASARI) magnetic resonance imaging (MRI) features combined with machine learning techniques to predict the World Health Organization (WHO) grade, isocitrate dehydrogenase (IDH) mutation status, and 1p19q co-deletion status of high-grade gliomas. To achieve this, we retrospectively included 485 patients with high-grade glioma from the First Affiliated Hospital of Xinjiang Medical University, of which 312 patients were randomly divided into a training set (n=218) and a test set (n=94) in a 7:3 ratio. Twenty-five VASARI MRI features were selected from an initial set of 30, and three machine learning models - Multilayer Perceptron (MP), Bernoulli Naive Bayes (BNB), and Logistic Regression (LR) - were trained using the training set. The most informative features were identified using recursive feature elimination. Model performance was assessed using the test set and an independent validation set of 173 patients from Beijing Tiantan Hospital. The results indicated that the MP model exhibited the highest predictive accuracy on the training set, achieving an area under the curve (AUC) close to 1, indicating perfect discrimination. However, its performance decreased in the test and validation sets; particularly for predicting the 1p19q co-deletion status, the AUC was only 0.703, suggesting potential overfitting. On the other hand, the BNB model demonstrated robust generalization on the test and validation sets, with AUC values of 0.8292 and 0.8106, respectively, for predicting IDH mutation status and 1p19q co-deletion status, indicating high accuracy, sensitivity, and specificity. The LR model also showed good performance with AUCs of 0.7845 and 0.8674 on the test and validation sets, respectively, for predicting IDH mutation status, although it was slightly inferior to the BNB model for the 1p19q co-deletion status. In conclusion, integrating VASARI MRI features with machine learning techniques shows promise for the non-invasive prediction of glioma molecular markers, which could guide treatment strategies and improve prognosis in glioma patients. Nonetheless, further model optimization and validation are necessary to enhance its clinical utility.
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Plants adapt to cold stress through a tightly regulated process involving metabolic reprogramming and tissue remodeling to enhance tolerance within a short timeframe. However, the precise differences and interconnections among various organs during cold adaptation remain poorly understood. This study employed dynamic transcriptomic and metabolite quantitative analyses to investigate cold adaptation and subsequent de-adaptation in Artemisia annua, a species known for its robust resistance to abiotic stress. Our findings revealed distinct expression patterns in most differentially expressed genes (DEGs) encoding transcription factors and components of the calcium signal transduction pathway within the two organs under cold stress. Notably, the long-distance transport of carbon sources from source organs (leaves) to sink organs (roots) experienced disruption followed by resumption, while nitrogen transport from roots to leaves, primarily in the form of amino acids, exhibited acceleration. These contrasting transport patterns likely contribute to the observed differences in cold response between the two organs. The transcriptomic analysis further indicated that leaves exhibited increased respiration, accumulated anti-stress compounds, and initiated the ICE-CBF-COR signaling pathway earlier than roots. Differential expression of genes associated with cell wall biosynthesis suggests that leaves may undergo cell wall thickening while roots may experience thinning. Moreover, a marked difference was observed in phenylalanine metabolism between the two organs, with leaves favoring lignin production and roots favoring flavonoid synthesis. Additionally, our findings suggest that the circadian rhythm is crucial in integrating temperature fluctuations with the plant's internal rhythms during cold stress and subsequent recovery. Collectively, these results shed light on the coordinated response of different plant organs during cold adaptation, highlighting the importance of inter-organ communication for successful stress tolerance.
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Background: The application of rituximab has significantly enhanced the overall survival rates in patients with diffuse large B-cell lymphoma (DLBCL). Regrettably, a significant number of patients still progress to relapse/refractory DLBCL (rrDLBCL). Methods: Herein, we employed targeted sequencing of 55 genes to investigate if gene mutations could predict the progression to rrDLBCL. Additionally, we compared the mutation profiles at the time of DLBCL diagnosis with those found in rrDLBCL cases. Results: Our findings highlighted significantly elevated mutation frequencies of TP53, MEF2B and CD58 in diagnostic biopsies from patients who progressed to relapse or refractory disease, with CD58 mutations exclusively observed in the rrDLBCL group. In assessing the predictive power of mutation profiles for treatment responses in primary DLBCL patients, we found that the frequency of CARD11 mutations was substantially higher in non-response group as compared with those who responded to immunochemotherapy. In addition, we revealed mutations in HIST2H2AB, BCL2, NRXN3, FOXO1, HIST1H1C, LYN and TBL1XR1 genes were only detected in initial diagnostic biopsies, mutations in the EBF1 gene were solely detected in the rrDLBCL patients. Conclusion: Collectively, this study elucidates some of the genetic mechanisms contributing to the progression of rrDLBCL and suggests that the presence of CD58 mutations might serve as a powerful predictive marker for relapse/refractory outcomes in primary DLBCL patients.
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Objective: The relationship between dietary niacin intake (DNI) and mortality rates among patients afflicted with chronic kidney disease (CKD) is a subject of debate. Utilizing data derived from the National Health and Nutrition Examination Survey (NHANES), this study adopts a retrospective cohort design with an aim to investigate the association in the American adult patients with CKD. Methods: A cohort study was conducted in the National Health and Nutrition Examination Survey (NHANES) between 2009 and 2018 that enrolled 6,191 CKD patients aged 20 years and above. We collected data on mortality through 31 December 2018. DNI was measured using a 24-h recall method. The relationship between DNI levels and mortality from all causes and cardiovascular causes was analyzed using weighted Cox proportional hazards models. The Kaplan-Meier (K-M) survival curve was plotted to illustrate these associations. Results: Following a median monitoring period of 85 months, it was observed that 2,419 individuals (33.08%) succumbed to all causes, whereas cardiovascular-related deaths were recorded for 746 participants (10.45%). When controlling for confounders, an inverse relationship was established between DNI and mortality rates. Specifically, a marginal increase of 1 mg/day in DNI corresponded to a reduced Hazard Ratios (HRs) of 0.993 (0.987, 0.999; p = 0.027) for all-cause mortality and 0.980 (0.969, 0.991; p < 0.001) for cardiovascular mortality. A further stratified analysis by quartiles of DNI, with the lowest quartile serving as the reference, revealed that the highest quartile was associated with HRs of 0.820 (0.697, 0.966) for all-cause mortality and 0.663 (0.465, 0.944) for cardiovascular mortality, both displaying a significant trend (p < 0.001). However, a subdivision of CKD patients by age showed that the protective effects of higher DNI were only confined to individuals aged 60 years and above but not to those under 60 years of age. Conclusion: A negative correlation between DNI and mortality due to all causes and cardiovascular issues among CKD patients aged 60 and above was revealed based on the datasets; however, this association was not observed in younger individuals under 60. Consequently, enhancing DNI might serve as a beneficial therapeutic strategy specifically for the older CKD demographic.
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INTRODUCTION: The aim of this study was to investigate the presence of aortic isthmus flow reversal and its associated factors in fetuses with positive and false-positive coarctation of the aorta (CoA) compared with normal controls. MATERIAL AND METHODS: Pregnant women with fetuses suspected of CoA and normal control were enrolled, and these women experienced prenatal ultrasound scan and followed up for 6 months after birth to confirm the presence of CoA. All the ultrasound parameters were analyzed. RESULTS: A total of 134 pregnant women were enrolled, with 43 CoA-positive fetuses and 91 CoA false-positive fetuses, and 334 matched pregnant women were enrolled in the control group. Aortic isthmus flow reversal occurred in 28 (65.1%) fetuses in the CoA-positive group, significantly (p < 0.05) more than in the false-positive (37 or 40.7%) or control group (64 or 19.2%). Aortic isthmus flow reversal was mostly in the full systole (n = 17 or 60.7%) or late systole and early-middle diastole (n = 10 or 35.7%) in the CoA-positive fetuses (n = 27 or 96.4%), significantly (p < 0.001) different from that in the false-positive or control group. The aortic isthmus flow reversal peak systolic velocity (PSV), flow volume, and ratio of reversed flow/forward flow were significantly (p < 0.05) increased in the CoA-positive and false-positive groups than in the control group. The aortic isthmus flow reversal incidence was significantly (p < 0.05) correlated with the middle cerebral artery (MCA) PSV in the total three groups or in the false-positive group but was significantly (p < 0001) negatively correlated with the MCA resistance index (RI) in the CoA-positive group. The incidence of the aortic isthmus flow reversal was significantly (p < 0.05) positively correlated with the umbilical artery (UA) RI in the false-positive group and with the UA RI in the total three groups. Independently associated factors for aortic isthmus flow reversal were isthmic flow volume/CCO (combined cardiac output) in the CoA-positive group. CONCLUSIONS: Reversal of flow in the aortic isthmus is much more common in true-positive cases of CoA as compared to controls, and isthmic flow reversal in the full systolic phase only suggests presence of CoA. The aortic isthmic reversed flow volume accounts for over half of the isthmic forward flow volume in the CoA-positive fetuses than in the normal controls.
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This paper explores the evolution of geoscientific inquiry, tracing the progression from traditional physics-based models to modern data-driven approaches facilitated by significant advancements in artificial intelligence (AI) and data collection techniques. Traditional models, which are grounded in physical and numerical frameworks, provide robust explanations by explicitly reconstructing underlying physical processes. However, their limitations in comprehensively capturing Earth's complexities and uncertainties pose challenges in optimization and real-world applicability. In contrast, contemporary data-driven models, particularly those utilizing machine learning (ML) and deep learning (DL), leverage extensive geoscience data to glean insights without requiring exhaustive theoretical knowledge. ML techniques have shown promise in addressing Earth science-related questions. Nevertheless, challenges such as data scarcity, computational demands, data privacy concerns, and the "black-box" nature of AI models hinder their seamless integration into geoscience. The integration of physics-based and data-driven methodologies into hybrid models presents an alternative paradigm. These models, which incorporate domain knowledge to guide AI methodologies, demonstrate enhanced efficiency and performance with reduced training data requirements. This review provides a comprehensive overview of geoscientific research paradigms, emphasizing untapped opportunities at the intersection of advanced AI techniques and geoscience. It examines major methodologies, showcases advances in large-scale models, and discusses the challenges and prospects that will shape the future landscape of AI in geoscience. The paper outlines a dynamic field ripe with possibilities, poised to unlock new understandings of Earth's complexities and further advance geoscience exploration.
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Background: Concomitant administration of COVID-19, influenza, and pneumococcal vaccines could reduce the burden on healthcare systems. However, the immunogenicity and safety of various combinations of a third booster dose of SARS-CoV-2 inactivated vaccine (CoronaVac), inactivated quadrivalent influenza vaccine (IIV4), and 23-valent pneumococcal polysaccharide vaccine (PPV23), particularly in different age groups, is still unknown. Methods: A phase 4, randomized, open-label, controlled trial was conducted in Beijing, China. 636 healthy adults were divided into two age groups (18-59 and ≥60 years) and randomized equally into three groups: CoronaVac and IIV4 followed by PPV23; CoronaVac and PPV23 followed by IIV4; or CoronaVac followed by IIV4 and PPV23, with a 28-day interval between vaccinations. Immunogenicity was evaluated by measuring antibody titers, and safety was monitored. ClinicalTrials.gov Identifier: NCT05298800. Results: Co-administration of a third dose of CoronaVac, IIV4, and PPV23 in any combination was safe. Among adults aged 18-59, co-administration with PPV23 maintained non-inferiority of antibody levels for CoronaVac and IIV4, despite a slight reduction in antibody responses. This reduction was not observed in participants ≥60 years. Furthermore, co-administration of IIV4 and PPV23 affected seroconversion rates for both vaccines. Conclusions: Co-administration of the third dose of SARS-CoV-2 inactivated vaccine with the influenza vaccine, followed by PPV23, may be optimal for adults aged 18-59. In adults ≥60, all vaccine combinations were immunogenic, suggesting a flexible vaccination approach. Since antibody measurements were taken 28 days post-vaccination, ongoing surveillance is essential to assess the longevity of the immune responses.
Asunto(s)
Anticuerpos Antivirales , Vacunas contra la COVID-19 , COVID-19 , Inmunización Secundaria , Inmunogenicidad Vacunal , Vacunas contra la Influenza , Vacunas Neumococicas , SARS-CoV-2 , Humanos , Persona de Mediana Edad , Vacunas Neumococicas/inmunología , Vacunas Neumococicas/administración & dosificación , Vacunas Neumococicas/efectos adversos , Masculino , Femenino , Vacunas contra la COVID-19/inmunología , Vacunas contra la COVID-19/administración & dosificación , Vacunas contra la COVID-19/efectos adversos , Adulto , COVID-19/prevención & control , COVID-19/inmunología , Vacunas contra la Influenza/inmunología , Vacunas contra la Influenza/efectos adversos , Vacunas contra la Influenza/administración & dosificación , Anciano , SARS-CoV-2/inmunología , Anticuerpos Antivirales/sangre , Anticuerpos Antivirales/inmunología , Adulto Joven , Vacunas de Productos Inactivados/inmunología , Vacunas de Productos Inactivados/administración & dosificación , Vacunas de Productos Inactivados/efectos adversos , Adolescente , China , Gripe Humana/prevención & control , Gripe Humana/inmunologíaRESUMEN
Roasting is a key process in the production of large-leaf yellow tea (LYT). In this study, we synthesized metabolomics and electronic-tongue analysis to compare the quality of charcoal-roasted, electric-roasted and drum-roasted LYT. Charcoal-roasted LYT had the highest yellowness and redness, drum-roasted LYT had a more prominent umami and brightness, and electric roasting reduced astringency. A total of 48 metabolites were identified by metabolomics. Among these, leucocyanidin, kaempferol, luteolin-7-lactate, and apigenin-7-O-neohesperidoside might affect the brightness and yellowness. Theanine, aspartic acid, and glutamic acid contents significantly and positively correlated with umami levels, and the high retention of flavonoid glycosides and catechins in drum-roasted LYT contributed to its astringency. These findings elucidate the contribution of the roasting method to the quality of LYT and provide a theoretical basis for LYT production.