RESUMEN
Background: Pulmonary fibrosis (PF) emerges as a significant pulmonary sequelae in the convalescent phase of coronavirus disease 2019 (COVID-19), with current strategies neither specifically preventive nor therapeutic. Licoricesaponin G2 (LG2) displays a spectrum of natural activities, including antibacterial, anti-inflammatory, and antioxidant properties, and has been effectively used in treating various respiratory conditions. However, the potential protective effects of LG2 against PF remain underexplored. Methods: Network analysis and molecular docking were conducted in combination to identify the core targets and pathways through which LG2 acts against PF. In the model of bleomycin (BLM)-induced C57 mice and transforming growth factor-ß1 (TGF-ß1)-induced A549 and MRC5 cells, techniques such as western blot (WB), quantitative Real-Time PCR (qPCR), Immunohistochemistry (IHC), Immunofluorescence (IF), and Transwell migration assays were utilized to analyze the expression of Epithelial-mesenchymal transition (EMT) and inflammation proteins. Based on the analysis above, we identified targets and potential mechanisms underlying LG2's effects against PF. Results: Network analysis has suggested that the mechanism by which LG2 combats PF may involve the TNF-α pathway. Molecular docking studies have demonstrated a high binding affinity of LG2 to TNF-α and MMP9. Observations from the study indicated that LG2 may mitigate PF by modulating EMT and extracellular matrix (ECM) remodeling. It is proposed that the therapeutic effect is likely arises from the inhibition of inflammatory expression through regulation of the TNF-α pathway. Conclusion: LG2 mitigates PF by suppressing TNF-α signaling pathway activation, modulating EMT, and remodeling the ECM. These results provide compelling evidence supporting the use of LG2 as a potential natural therapeutic agent for PF in clinical trials.
RESUMEN
Folate has antioxidant properties, and low concentration in seminal plasma may be associated with increased DNA damage in sperm. Mutations of the methylenetetrahydrofolate reductase (MTHFR) and methionine synthase reductase (MTRR) genes, including MTHFR C677T (rs1801133), MTHFR A1298C (rs1801131), and MTRR A66G (rs1801394), can lead to decreased activity of the encoded folate metabolic enzymes, thereby affecting male reproduction. The current SNP detection methods commonly used in clinical practice have some shortcomings, such as long time-consuming, complex detection steps, or high cost. The purpose of this study was to establish a simple, time-saving, sensitive, accurate, and easy to clinical popularization method for folate metabolism gene detection. We combined ARMS-PCR with TaqMan fluorescent probe to establish an ARMS TaqMan real-time PCR detection method. According to the variation of rs1801131, rs1801133, and rs1801394, two specific primers (one wild type and one mutant) were designed. Mismatched nucleotides were introduced at the penultimate or third position to improve the specificity of the primer. Specific TaqMan probe was introduced to detect PCR products to improve the sensitivity of the method. The results showed that the sensitivity of ARMS TaqMan real-time PCR in SNP genotyping was 1 ng, and the accuracy was 100%. A total of 249 clinical samples were detected by the established method, and the correlation between three SNPs and semen quality was analyzed. We found that individuals carrying the AG + GG genotype of rs1801394 had a lower risk of abnormal semen quality. In conclusion, we developed a highly sensitive, accurate, rapid, and easy to be popularized method for detecting SNPs of rs1801394, rs1801131, and rs1801133. ARMS TaqMan real-time PCR is a reliable SNP genotyping method in folate metabolism genes.
RESUMEN
BACKGROUND: This study aimed to investigate the effects of meticulous nursing care (MNC) for patients with coronary heart disease undergoing coronary CT angiography (CCTA). METHODS: We conducted a comprehensive search of the Cochrane Library, PubMed, EMBASE, China National Knowledge Infrastructure, and Wangfang databases from inception to January 1, 2024. Randomized clinical trials (RCTs) evaluating the effects of MNC for CCTA were included. Outcomes assessed included self-rating anxiety scale (SAS), self-rating depression scale (SDS), overall satisfaction of nursing care (OSNC), examination time (ET, min), radiation dose received (RDR, mSv), breathing control time (BCT), and heart rate control time (HRCT).The methodological quality of all included RCTs was evaluated using the Cochrane risk-of-bias tool, while statistical analysis was conducted using RevMan 5.4 software. RESULTS: Six eligible trials involving 1064 patients were included. The results of the meta-analysis showed significant differences in SAS (MDâ =â -2.84, 95% CI [-3.31, -2.37], I2â =â 0%, Pâ <â .001), SDS (MDâ =â -2.55, 95% CI [-3.51, -1.58], I2â =â 0%, Pâ <â .001), OSNC (ORâ =â 3.13, 95% CI [1.59, 6.17], I2â =â 23%, Pâ =â .001), BCT (MDâ =â -23.43, 95% CI [-25.07, -21.80], I2â =â 45%, Pâ <â .001), HRCT (MDâ =â -20.08, 95% CI [-21.70, -18.46], I2â =â 29%, Pâ <â .001), ET (MDâ =â -2.31, 95% CI [-2.56, -2.06], I2â =â 5%, Pâ <â .001), and RDR (MDâ =â -2.11, 95% CI [-2.45, -1.77], I2â =â 0%, Pâ <â .001). CONCLUSION: MNC may benefit for patients with coronary heart disease undergoing CCTA. Future studies are still needed to warrant the current findings.
Asunto(s)
Angiografía por Tomografía Computarizada , Ensayos Clínicos Controlados Aleatorios como Asunto , Humanos , Angiografía por Tomografía Computarizada/métodos , Angiografía Coronaria/métodos , Atención de Enfermería/métodos , Enfermedad Coronaria/diagnóstico por imagen , Satisfacción del PacienteRESUMEN
BACKGROUND: B-type natriuretic peptide or N-terminal pro-B-type natriuretic peptide is the only blood biomarker in established risk calculators for pulmonary arterial hypertension (PAH). Profiling systemic-originated plasma immunoglobulin G (IgG) N-glycans, which reflect different components of the pathophysiology of PAH including immune dysregulation and inflammation, may improve PAH risk assessment. OBJECTIVES: This study sought to identify plasma IgG N-glycan biomarkers that predict survival in PAH to improve risk assessment. METHODS: This cohort study examined 622 PAH patients from 2 national centers (Beijing [discovery] cohort: n = 273; Shanghai [validation] cohort: n = 349). Plasma IgG N-glycomes were profiled by a robust mass spectrometry-based method. Prognostic IgG N-glycan traits were identified and validated in the 2 cohorts using Cox regression and Kaplan-Meier survival analyses. The added value of IgG N-glycan traits to previously established risk models was assessed using Harrell C-indexes and survival analysis. RESULTS: Plasma IgG fucosylation was found to predict survival independent of age and sex in the discovery cohort (HR: 0.377; 95% CI: 0.168-0.845; P = 0.018) with confirmation in the validation cohort (HR: 0.445; 95% CI: 0.264-0.751; P = 0.005). IgG fucosylation remained a robust predictor of mortality in combined cohorts after full adjustment and in subgroup analyses. Integrating IgG fucosylation into previously established risk models improved their predictive capacity, marked by an overall elevation in Harrell C-indexes. IgG fucosylation was useful in further stratifying the intermediate-risk patients classified by a previously established model. CONCLUSIONS: Plasma IgG fucosylation informs PAH prognosis independent of established factors, offering additional value for predicting PAH outcomes.
Asunto(s)
Biomarcadores , Inmunoglobulina G , Humanos , Femenino , Masculino , Inmunoglobulina G/sangre , Persona de Mediana Edad , Pronóstico , Biomarcadores/sangre , Adulto , Hipertensión Arterial Pulmonar/sangre , Hipertensión Arterial Pulmonar/mortalidad , Estudios de Cohortes , Polisacáridos/sangre , Anciano , Medición de Riesgo/métodos , China/epidemiologíaRESUMEN
Nanotechnology is grabbing great attention all over the world because of its stimulating use in numerous fields, and the nanosilica (nSi) and carbon nanoparticles (CNPs) application has been examined in various studies. Conversely, the nSi and CNPs combinatorial use is a new method and researched in limited literature. A pot experiment was carried out for examining different growth and biochemical parameters in barley (Hordeum vulgare L.) against the nickel (Ni) at 200â¯mgâ¯kg-1 (toxic concentration), primed with the combinatorial use of nSi at 3â¯mM and CNPs at 200⯵M. It was observed that in soil, Ni toxicity significantly (Pâ¯<â¯0.05) reduced plant growth, photosynthetic pigments, nutrient and affects oxidative stress and antioxidants response, gene expression, cellular fractionation, AsA-GSH cycle, proline metabolism, organic acids, and Ni absorption in H. vulgare. However, the nSi and CNPs application significantly (Pâ¯<â¯0.05) increased plant development and biomass, photosynthetic attributes, enzymatic and non-enzymatic antioxidants, their gene regulation, and reduced oxidative toxicity and Ni uptake. The nSi and CNPs combinatorial use was found to be more successful in improving these parameters in comparison with individual treatments. These findings unlocked new understandings for viable agricultural applications and hold deal in directing challenges of heavy metal pollution in cultivating lands.
RESUMEN
BACKGROUND: Ferroptosis can be used as a powerful predictor of cancer prognosis. HPV persistent infection is the main cause of cervical cancer, so it is very important to improve the prognosis of patients. Therefore, it is necessary to explore the value of HPV-ferroptosis related genes as prognostic biomarkers of cervical cancer patients. METHODS: In this study, differentially expressed HPV-ferroptosis related genes were obtained from GSE7410, HPV gene set crossed with iron death genes. Five HPV-ferroptosis related genes with prognostic features were finally identified: CYBB, VEGFA, CKB, EFNA1 and HELLS. Multifactorial Cox regression was applied to establish and validate the prognostic model, and drug susceptibility and immune infiltration analyses were also performed. RESULTS: The prognostic model was validated in the training set (TCGA) and validation set (GSE44001). Kaplan-Meier curves reveal significant differences in overall survival (OS) between high-risk and low-risk groups. Receiver operating characteristic (ROC) curve reflects the stability and accuracy of the prognostic model established in this study. In terms of immune function, T cell costimulation was better in the low-risk group than in the high-risk group (P < 0.01). The therapeutic effects of cisplatin, paclitaxel, docetaxel and cyclophosphamide, commonly used chemotherapy drugs for cervical cancer, are better in the high-risk group than in the low-risk group (P < 0.001). CONCLUSION: HPV-ferroptosis related gene prognostic model not only has good stability and accuracy in predicting the prognosis of cervical cancer patients, but also has certain guiding value for clinicians in terms of drug sensitivity and immune microenvironment.
RESUMEN
Fine root traits embody trade-offs between resource acquisition and conservation in plants. Yet, the differentiation of these traits across root orders, the existence of a root economics spectrum (RES) spanning these orders, and their linkage with leaf traits remain underexplored. In this study, we analyzed the first three root orders and leaf traits of 15 co-occurring plant species, including ten herbs and five shrubs, from the desert-oasis transition zone of the Hexi Corridor. We measured twelve morphological and chemical traits to investigate the relationships between root and leaf traits. Our results revealed significant variation in root traits both among species and within species across different root orders. We identified RES that spanned root orders, with higher-order roots exhibiting more conservative traits and lower-order roots displaying traits aligned with resource acquisition. Additionally, leaf and fine root traits showed partially decoupled adaptive strategies, yet evidence also supported the existence of a leaf economics spectrum (LES) and a potentially two-dimensional whole plant economics spectrum (WPES). Our findings suggest synergistic resource allocation strategies between fine roots and the entire plant, emphasizing the importance of root order in understanding fine root structure, function, and their interactions with other plant organs. These insights advance the understanding of fine root traits and their integration within the broader plant economics spectrum. Nevertheless, the differences in fine root traits across root orders, the presence of a root economics spectrum (RES) spanning these orders, and the relationships between fine root and leaf traits remain underexplored. We examined the first three root orders and leaves of 15 co-occurring plant species (ten herbs and five shrubs) from the desert-oasis transition zone in the Hexi Corridor, measured twelve key morphological and chemical traits. We observed substantial variation in root traits among species and root orders within species. The root economics spectrum (RES) spanned across root orders, with higher-order roots positioned at the conservative end and lower-order roots at the acquisitive end of the "investment-return" strategy axis. Leaf and fine root traits of the 15 co-occurring plant species exhibited partially decoupled adaptive strategies. However, there was also evidence for the presence of a leaf economics spectrum (LES) and a whole plant economics spectrum (WPES), with the WPES potentially being two-dimensional. Furthermore, our findings suggest synergistic resource strategies between fine roots and the whole plant. Concurrently, the significant interspecific and intraspecific differences in fine root traits, combined with the presence of a root economics spectrum across root orders, underscore the critical importance of root order in studying fine root structure, function, and their associations with other plant organs. Our findings offer valuable insights for future research on fine root traits, the RES, and their integration with the whole plant economics spectrum.
RESUMEN
Background: Neuroblastoma (NB) primarily arises in children who are <10 years of age, and originates from developing sympathetic nervous system, which results in tumors in adrenal glands and/or sympathetic ganglia. The diagnosis of NB involves a combination of laboratory and imaging tests, and biopsies. Small extracellular vesicles (sEVs) have gained attention as potential biomarkers for various types of tumors. Here, we performed proteomic analysis of serum sEVs and identified potential biomarkers for NB. Methods: Label-free proteomics of serum sEVs were performed in the discovery phase. A bulk RNA-seq dataset of NB tissues was used to analyze the association between genes encoding sEVs proteins and prognosis. Potential biomarkers were validated via multiple reaction monitoring (MRM) or western blot analysis in the validation phase. A public single-cell RNA-seq (scRNA-seq) dataset was integrated to analyze the tissue origin of sEVs harboring biomarkers. Results: A total of 104 differentially expressed proteins were identified in NB patients with label-free proteomics, and 26 potential biomarkers were validated with MRM analysis. Seven proteins BSG, HSP90AB1, SLC44A1, CHGA, ATP6V0A1, ITGAL and SELL showed the strong ability to distinguish NB patients from healthy controls and non-NB patients as well. Integrated analysis of scRNA-seq and sEVs proteomics revealed that these sEVs-derived biomarkers originated from different cell populations in tumor tissues. Conclusion: sEVs-based biomarkers may aid the molecular diagnosis of NB, representing an innovative strategy to improve NB detection and management.
RESUMEN
One of the foremost challenges in nanobiotechnology is obtaining direct evidence of nanoparticles' absorption and internalization in plants. Although confocal laser scanning microscopy (CLSM) or transmission electron microscopy (TEM) are currently the most commonly used tools to characterize nanoparticles in plants, subjectivity of researchers, incorrect sample handling, inevitable fluorescence leakage and limitations of imaging instruments lead to false positives and non-reproducibility of experimental results. This protocol provides an easy-to-operate dual-step method, combining CLSM for macroscopic tissue examination and TEM for cellular-level analysis, to effectively trace single particles in plant roots with accuracy and precision. In addition, we also provide detailed methods for processing plant materials before imaging, including cleaning, and staining, to maximize the accuracy and reliability of imaging. This protocol involves currently commonly used nanomaterial types, such as metal-based and doped carbon-based materials, and enables accurate localization of nanoparticles with different sizes at the cell level in Arabidopsis thaliana root samples either through contrast or element mapping analysis. It serves as a valuable reference and benchmark for scholars in plant science, chemistry and environmental studies to understand the interaction between plant roots and nanomaterials and to detect the distribution of nanomaterials in plants. Excluding plant culture time, the protocol can be completed in 4-5 d.
RESUMEN
The combination of anti-angiogenic drugs and immune checkpoint inhibitors (ICIs) in the treatment of tumors is emerging as a way to improve ICIs-resistant tumor therapy. In addition, gut microbes (GMs) are involved in angiogenesis in the tumor microenvironment and are also associated with the antitumor function of immune checkpoint inhibitors. However, it is unclear whether gut microbes have a role in anti-tumor function in the combination of anti-angiogenic drugs and immune checkpoint inhibitors for cancer treatment. Endostatin, an angiogenesis inhibitor, has been widely used as an antiangiogenic therapy for cancer. We showed that combined therapy with an adenovirus encoding human endostatin, named Ad-E, and PD-1 blockade dramatically abrogated MC38 tumor growth. The structure of intestinal microbes in mice was changed after combination treatment. We found that the antitumor function of combination therapy was inhibited after the elimination of intestinal microbes. In mice with depleted microbiota, oral gavage of Bacteroides fragilis salvaged the antitumor effects of combination Ad-E and αPD-1 monoclonal antibody (mAb) to a certain extent. Further, Bacteroides fragilis could improve CD3+T cells, NK cells, and IFNγ+CD8+ T cells in the tumor microenvironment to inhibit tumor growth. Besides, Bacteroides fragilis might restore antitumor function by down-regulating isobutyric acid (IBA). Our results suggested that GMs may be involved in the combination of Ad-E and αPD-1 mAb for cancer treatment, which has oncological implications for tumor growth dynamics and cancer immune surveillance.
Asunto(s)
Neoplasias Colorrectales , Endostatinas , Microbioma Gastrointestinal , Inhibidores de Puntos de Control Inmunológico , Receptor de Muerte Celular Programada 1 , Animales , Microbioma Gastrointestinal/efectos de los fármacos , Endostatinas/farmacología , Endostatinas/uso terapéutico , Receptor de Muerte Celular Programada 1/antagonistas & inhibidores , Receptor de Muerte Celular Programada 1/inmunología , Neoplasias Colorrectales/tratamiento farmacológico , Neoplasias Colorrectales/inmunología , Neoplasias Colorrectales/microbiología , Neoplasias Colorrectales/patología , Ratones , Inhibidores de Puntos de Control Inmunológico/farmacología , Inhibidores de Puntos de Control Inmunológico/administración & dosificación , Inhibidores de Puntos de Control Inmunológico/uso terapéutico , Humanos , Línea Celular Tumoral , Microambiente Tumoral/efectos de los fármacos , Microambiente Tumoral/inmunología , Ratones Endogámicos C57BL , Inhibidores de la Angiogénesis/farmacología , Inhibidores de la Angiogénesis/uso terapéutico , Inhibidores de la Angiogénesis/administración & dosificación , FemeninoRESUMEN
INTRODUCTION: The role of SMU1 in DNA replication and RNA splicing is well-established, yet its specific function and dysregulated mechanisms in gastric cancer (GC) remain inadequately elucidated. This study seeks to investigate the potential oncogenic and progression-promoting effects of SMU1 in GC, with the ultimate goal of informing novel approaches for treatment and diagnosis. METHODS: The study investigated the expression levels of SMU1 in GC and adjacent normal tissues by analyzing data from the TCGA (27 tissue pairs) and GEO (47 tissue pairs) databases. Immunohistochemistry was used to examine 277 tumor tissue and adjacent non-tumor tissue spots from GC tissue chips, along with relevant follow-up information. The study further assessed the proliferation, invasion, and migration capabilities of cells by manipulating SMU1 expression levels and conducting various assays, including CCK-8, EdU incorporation, colony formation, transwells, flow cytometry, and subcutaneous tumorigenesis assays. RESULTS: Our study revealed a significant upregulation of SMU1 mRNA and protein levels in GC tissues compared to adjacent tissues. Univariate and multivariate Cox analysis demonstrated that elevated levels of SMU1 were independent prognostic factors for GC prognosis (P = 0.036). Additionally, median survival analysis indicated a significant association between high SMU1 expression and poor prognosis in GC patients (P = 0.0002). In experiments conducted both in vivo and in vitro, it was determined that elevated levels of SMU1 can enhance the proliferation, invasion, and migration of GC cells, whereas suppression of SMU1 can impede the progression of GC by modulating the G1/S checkpoint of the cell cycle. CONCLUSIONS: Our research introduces the novel idea that SMU1 could serve as a prognostic marker for GC progression, influencing cell proliferation through cell cycle activation. These results offer valuable insights into the understanding, diagnosis, and management of gastric carcinoma.
Asunto(s)
Ciclo Celular , Movimiento Celular , Proliferación Celular , Invasividad Neoplásica , Neoplasias Gástricas , Animales , Femenino , Humanos , Masculino , Ratones , Persona de Mediana Edad , Ciclo Celular/genética , Línea Celular Tumoral , Movimiento Celular/genética , Proliferación Celular/genética , Regulación Neoplásica de la Expresión Génica , Técnicas de Silenciamiento del Gen , Ratones Desnudos , Invasividad Neoplásica/genética , Pronóstico , Factores de Empalme de ARN/genética , Factores de Empalme de ARN/metabolismo , Neoplasias Gástricas/patología , Neoplasias Gástricas/genética , Neoplasias Gástricas/metabolismoRESUMEN
Airspeed measurement is crucial for UAV control. To achieve accurate airspeed measurements for UAVs, this paper calculates airspeed data by measuring changes in air pressure and temperature. Based on this, a data processing method based on mechanical filtering and the improved AR-SHAKF algorithm is proposed to indirectly measure airspeed with high precision. In particular, a mathematical model for an airspeed measurement system was established, and an installation method for the pressure sensor was designed to measure the total pressure, static pressure, and temperature. Secondly, the measurement principle of the sensor was analyzed, and a metal tube was installed to act as a mechanical filter, particularly in cases where the aircraft has a significant impact on the gas flow field. Furthermore, a time series model was used to establish the sensor state equation and the initial noise values. It also enhanced the Sage-Husa adaptive filter to analyze the unavoidable error impact of initial noise values. By constraining the range of measurement noise, it achieved adaptive noise estimation. To validate the superiority of the proposed method, a low-complexity airspeed measurement device based on MEMS pressure sensors was designed. The results demonstrate that the airspeed measurement device and the designed velocity measurement method can effectively calculate airspeed with high measurement accuracy and strong interference resistance.
RESUMEN
(-)-ß-Elemene is a primary bioactive compound derived from Curcuma wenyujin and has been widely utilized as an anti-tumor agent for various types of cancer. Due to the inefficiency of plant extraction methods for ß-elemene, significant efforts have been directed toward the heterogeneous biosynthesis of ß-elemene using microbial cell factories. However, there has been less emphasis on the stereochemical configuration of germacrene A and its rearranged product, ß-elemene. In this study, we constructed a yeast cell factory to produce (-)-ß-elemene by optimizing the mevalonate pathway and screening for germacrene A synthases (GASs) from both plant and microbial sources. Notably, we discovered that the rearranged products of GASs exhibited different conformations, and only (+)-germacrene A produced by plant-derived GASs could rearrange to form (-)-ß-elemene. Building on this discovery, we further investigated the catalytic mechanisms of GASs and developed an efficient catalytic gene module for generating (+)-germacrene A. Ultimately, the engineered yeast produced 1152 mg/L of (-)-ß-elemene, marking the highest titer reported in yeast to date. Overall, this work highlights the differences in the stereoconformations of catalytic products between plant- and microbial-derived germacrene A synthases and establishes a foundation for the green and efficient production of ß-elemene with a specific stereochemical configuration.
RESUMEN
Copper (Cu) is vital for macroalgae's functions, but high concentrations can be toxic. Rising CO2 levels affect algal growth and Cu bioavailability. In this study, the results reveal that at 5 °C, low Cu increased Ulva linza growth, while high Cu and elevated CO2 decreased growth. At 10 °C, low Cu and elevated CO2 enhanced growth, but high Cu did not have a significant impact. At 15 °C, high Cu reduced growth, but elevated CO2 offset this effect. Furthermore, under elevated CO2 conditions, the chloroplast structure of the algae appeared to be denser, accompanied by a large amount of starch granules, compared to low CO2 conditions. These results emphasize that lower temperatures, in conjunction with elevated CO2 concentration, could intensify the toxic effects of high Cu concentrations on thalli. However, at higher temperatures, elevated CO2 concentration appeared to be capable of mitigating the detrimental effects of heavy metals on algae.
RESUMEN
BACKGROUND: The increasing comprehension of spleen function has led to the gradual endorsement of laparoscopic partial splenectomy (LPS) as a treatment option for benign spleen lesions. However, it is important to note that the LPS technique remains challenging. This study explores the standardized process and surgical techniques in LPS, aiming to promote the application of this technique. METHODS: The clinical data of 20 patients with benign cystic or solid spleen lesions who underwent LPS at Shunde Hospital, Southern Medical University were retrospectively collected. Data include age, gender, imaging data, surgical process, and postoperative complications. Additionally, the surgical techniques and standardization process were recorded in detail. RESULTS: All 20 cases completed LPS without conversion to laparotomy or splenectomy. The surgical time was 162.25 ± 37.96 min, the intraoperative blood loss was 93.00 ± 58.40 mL, no blood products were transfused during the operations, and the removed volume of the spleen was about 34.75 ± 12.19 %. There were no postoperative complications such as intra-abdominal bleeding, intra-abdominal infection, pancreatic fistula, and residual splenic infarction. Postoperative pleural effusion occurred in four cases, and symptoms improved after symptomatic treatment. The postoperative hospital stay was 7.0 ± 1.4 days. There were no perioperative deaths. The residual splenic vessels were normal during the follow-up period, and no vascular embolism occurred. CONCLUSIONS: LPS is a safe, feasible, and effective surgical method for patients with benign cystic or solid spleen lesions. Subsequently, mastering related surgical techniques and standardized surgical procedures can control the surgical risks in suitable cases, making LPS the standard procedure for treating benign spleen diseases.
RESUMEN
"Brain fog," a persistent cognitive impairment syndrome, stands out as a significant neurological aftermath of coronavirus disease 2019 (COVID-19). Yet, the underlying mechanisms by which COVID-19 induces cognitive deficits remain elusive. In our study, we observed an upregulation in the expression of genes linked to the inflammatory response and oxidative stress, whereas genes associated with cognitive function were downregulated in the brains of patients infected with COVID-19. Through single-nucleus RNA sequencing (snRNA-seq) analysis, we found that COVID-19 infection triggers the immune responses in microglia and astrocytes and exacerbates oxidative stress in oligodendrocytes, oligodendrocyte progenitors (OPCs), and neurons. Further investigations revealed that COVID-19 infection elevates LUC7L2 expression, which inhibits mitochondrial oxidative phosphorylation (OXPHOS) and suppresses the expression of mitochondrial complex genes such as MT-ND1, MT-ND2, MT-ND3, MT-ND4L, MT-CYB, MT-CO3, and MT-ATP6. A holistic approach to protect mitochondrial complex function, rather than targeting a single molecular, should be an effective therapeutic strategy to prevent and treat the long-term consequences of "long COVID."
RESUMEN
OBJECTIVE: To construct a predictive model for the improvement of cognitive function in patients with depressive disorder treated with SNRIs, based on emotional regulation abilities, and to provide personalized treatment for depressed patients. METHODS: Clinical data from 170 patients with depressive disorder treated with SNRIs at Tongji Hospital, Shanghai, from December 2017 to May 2023 were collected. Based on whether the MoCA-B total score at 3-6 months post-treatment was at least 2 points higher than at baseline, patients were divided into the cognitive function improved group (n = 80) and the cognitive function not improved group (n = 90). Stepwise logistic regression and LASSO regression were used to select predictive factors, and logistic regression analysis was applied to construct predictive models solely based on emotional regulation abilities, combined with executive functions and HAMD scores. The models were further validated through Bootstrap internal validation, calibration curve plotting, and C-index calculation, and a comparison between the two models was performed. RESULTS: An ER model with an area under the ROC curve of 0.817was established using four emotional regulation ability indicators: the valence of reappraised images, the arousal of negative images, the arousal of neutral images, and the success of reappraisal (arousal). Internal validation using Bootstrap showed a C index of 0.817, and clinical decision curves indicated that this model has a significant net benefit with a probability of improved cognitive function ranging from about 20 to 85%. Additionally, an EREH model including emotional regulation ability, executive function, and HAMD score as predictors was constructed using Lasso and logistic regression methods. This model reached an area under the ROC curve of 0.859and clinical decision curves showed high net benefits with probabilities of improved cognitive function ranging from 10 to 100%. The calibration curves of both models coincided well with the actual curves, with the latter having a higher AUC and significant statistical differences between the two models. CONCLUSION: This study suggests that emotional regulation ability may serve as a predictor for the improvement of cognitive functions in patients with depression depressive disorder treated with SNRIs. However, it is important to note that there may be other factors not covered or included in this study.The predictive model that includes executive functions and HAMD scores offers better differentiation and consistency and is more feasible in clinical practice.
RESUMEN
BACKGROUND AND OBJECTIVE: China has the highest number of hepatitis C virus (HCV) infections in the world. However, it is unclear what levels of screening and treatment are needed to achieve the WHO 2030 hepatitis C elimination targets. We aimed to evaluate the impact of scaling up interventions on the hepatitis C epidemic and determine how and at what cost these elimination targets could be achieved for the whole population in China. METHODS: We developed a compartmental model incorporating HCV transmission, disease progression, and care cascade for the whole population in China, calibrated with data on demographics, injecting drug use, HCV prevalence, and treatments. Five different scenarios were evaluated for effects and costs for 2022-2030. All costs were converted to 2021 US dollar (USD) and discounted at an annual rate of 5%. One-way sensitivity analyses were conducted to assess the robustness of the model. RESULTS: Under the status quo scenario, the incidence of hepatitis C is projected to increase from 60.39 (57.60-63.45) per 100,000 person-years in 2022 to 68.72 (65.3-73.97) per 100,000 person-years in 2030, and 2.52 million (1.94-3.07 million) infected patients are projected to die between 2022 and 2030, of which 0.76 (0.61-1.08) million will die due to hepatitis C. By increasing primary screening to 10%, conducting regular rescreening (annually for PWID and every 5 years for the general population) and treating 90% of patients diagnosed, the incidence would be reduced by 88.15% (86.61-89.45%) and hepatitis C-related mortality by 60.5% (52.62-65.54%) by 2030, compared with 2015 levels. This strategy would cost USD 52.78 (USD 43.93-58.53) billion. CONCLUSIONS: Without changes in HCV prevention and control policy, the disease burden of HCV in China will increase dramatically. To achieve the hepatitis C elimination targets, China needs to sufficiently scale up screening and treatment.
RESUMEN
PURPOSE: The aim of this study was to explore the role of cardiopulmonary exercise test parameters, especially peak oxygen uptake (VO 2peak ), in predicting the incidence of adverse cardiovascular events in older Chinese patients with coronary heart disease (CHD). METHODS: Older patients with CHD who underwent cycle ergometer cardiopulmonary exercise test at the Cardiac Rehabilitation Clinic of Chinese PLA General Hospital from July 1, 2015 to January 31, 2020 were enrolled. The follow-up intervals were 6 mo. Cox regression was used to analyze the relationship between VO 2peak and adverse cardiovascular events. Restricted cubic splines and subgroup analyses were used to observe the relationship between VO 2peak and the hazard ratio (HR) of the primary end point event (PEE), which included a composite of all-cause death, nonfatal recurrent myocardial infarction, unscheduled revascularization, and stroke. The composite end point event was the PEE combined with cardiac rehospitalization. RESULTS: A total of 1223 participants (mean age 68 ± 5 yr) were included. Median follow-up was 68 mo. Mean VO 2peak was 16.5 ± 4.0 mL/kg/min, and VO 2peak was an independent predictor of the PEE (HR = 0.929; 95% CI, 0.891-0.970; P = .001). This association was further validated by restricted cubic spline and subgroup analyses. Peak oxygen uptake was also an independent risk factor for the composite end point event (HR = 0.968; 95% CI, 0.941-0.996; P = .025). CONCLUSION: In conclusion, VO 2peak is an independent risk factor for adverse cardiovascular events in older Chinese patients with CHD, and more optimal therapy should be recommended to patients with lower VO 2peak .