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BACKGROUND: To develop and validate a peritumoral vascular and intratumoral radiomics model to improve pretreatment predictions for pathologic complete responses (pCRs) to neoadjuvant chemoradiotherapy (NAC) in patients with triple-negative breast cancer (TNBC). METHODS: A total of 282 TNBC patients (93 in the primary cohort, 113 in the validation cohort, and 76 in The Cancer Imaging Archive [TCIA] cohort) were retrospectively included. The peritumoral vasculature on the maximum intensity projection (MIP) from pretreatment DCE-MRI was segmented by a Hessian matrix-based filter and then edited by a radiologist. Radiomics features were extracted from the tumor and peritumoral vasculature of the MIP images. The LASSO method was used for feature selection, and the k-nearest neighbor (k-NN) classifier was trained and validated to build a predictive model. The diagnostic performance was assessed using the ROC analysis. RESULTS: One hundred of the 282 patient (35.5%) with TNBC achieved pCRs after NAC. In predicting pCRs, the combined peritumoral vascular and intratumoral model (fusion model) yields a maximum AUC of 0.82 (95% confidence interval [CI]: 0.75, 0.88) in the primary cohort, a maximum AUC of 0.67 (95% CI: 0.57, 0.76) in the internal validation cohort, and a maximum AUC of 0.65 (95% CI: 0.52, 0.78) in TCIA cohort. The fusion model showed improved performance over the intratumoral model and the peritumoral vascular model, but not significantly (p > 0.05). CONCLUSION: This study suggested that combined peritumoral vascular and intratumoral radiomics model could provide a non-invasive tool to enable prediction of pCR in TNBC patients treated with NAC.
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Imageamento por Ressonância Magnética , Terapia Neoadjuvante , Neoplasias de Mama Triplo Negativas , Humanos , Neoplasias de Mama Triplo Negativas/diagnóstico por imagem , Neoplasias de Mama Triplo Negativas/tratamento farmacológico , Neoplasias de Mama Triplo Negativas/terapia , Neoplasias de Mama Triplo Negativas/patologia , Feminino , Pessoa de Meia-Idade , Estudos Retrospectivos , Imageamento por Ressonância Magnética/métodos , Adulto , Idoso , Resultado do Tratamento , Resposta Patológica Completa , RadiômicaRESUMO
Ageing is a crucial risk factor for Alzheimer's disease (AD) and is characterised by systemic changes in both intracellular and extracellular microenvironments that affect the entire body instead of a single organ. Understanding the specific mechanisms underlying the role of ageing in disease development can facilitate the treatment of ageing-related diseases, such as AD. Signs of brain ageing have been observed in both AD patients and animal models. Alleviating the pathological changes caused by brain ageing can dramatically ameliorate the amyloid beta- and tau-induced neuropathological and memory impairments, indicating that ageing plays a crucial role in the pathophysiological process of AD. In this review, we summarize the impact of several age-related factors on AD and propose that preventing pathological changes caused by brain ageing is a promising strategy for improving cognitive health.
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Doença de Alzheimer , Animais , Humanos , Doença de Alzheimer/epidemiologia , Doença de Alzheimer/genética , Doença de Alzheimer/terapia , Peptídeos beta-Amiloides , Envelhecimento , Encéfalo , Transtornos da MemóriaRESUMO
Background: The rapid increase in the use of radiodiagnostic examinations in China, especially computed tomography (CT) scans, has led to these examinations being the largest artificial source of per capita effective dose (ED). This study conducted a retrospective analysis of the correlation between image quality, ED, and body composition in 540 cases that underwent thyroid, chest, or abdominal CT scans. The aim of this analysis was to evaluate the correlation between the parameters of CT scans and body composition in common positions of CT examination (thyroid, chest, and abdomen) and ultimately inform potential measures for reducing radiation exposure. Methods: This study included 540 patients admitted to Fudan University Shanghai Cancer Center from January 2015 to December 2019 who underwent both thyroid or chest or abdominal CT scan and body composition examination. Average CT values and standard deviation (SD) values were collected for the homogeneous areas of the thyroid, chest, or abdomen, and the average CT values and SD values of adjacent subcutaneous fat tissue were measured in the same region of interest (ROI). All data were measured three times, and the average was taken to calculate the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) for each area. The dose-length product (DLP) was recorded, and the ED was calculated with the following: formula ED = k × DLP. Dual-energy X-ray was used to determine body composition and obtain indicators such as percentage of spinal and thigh muscle. Pearson correlation coefficient was used to analyze the correlations between body composition indicators, height, weight, body mass index (BMI), and ED. Results: The correlation coefficients between the SNR of abdominal CT scan and weight, BMI, and body surface area (BSA) were -0.470 (P=0.001), -0.485 (P=0.001), and -0.437 (P=0.002), representing a moderate correlation strength with statistically significant differences. The correlation coefficients between the ED of chest CT scans and weight, BMI, spinal fat percentage, and BSA were 0.488 (P=0.001), 0.473 (P=0.002), 0.422 (P=0.001), and 0.461 (P=0.003), respectively, indicating a moderate correlation strength with statistical differences. There was a weak statistically significant correlation between the SNR, CNR, and ED of the other scans with each physical and body composition index (P=0.023). Conclusions: There were varying degrees of correlation between CT image quality and ED and physical and body composition indices, which may inform novel solutions for reducing radiation exposure.
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BACKGROUND: The association between poor cardiovascular health and cognitive decline as well as dementia progression has been inconsistent across studies. This study used Mendelian randomization (MR) to investigate the causal relationship between Alzheimer disease (AD), circulating levels of total-tau, and coronary artery disease (CAD). METHODS AND RESULTS: This study used MR to investigate the causal relationship between AD or circulating levels of total-tau and CAD, including ischemic heart disease, myocardial infarction, coronary heart disease, coronary atherosclerosis, and heart failure. The primary analysis used the inverse-variance weighted method, with pleiotropy and heterogeneity assessed using MR-Egger regression and the Q statistic. The overall results of the MR analysis indicated that AD did not exhibit a causal effect on heart failure (odds ratio [OR], 0.969 [95% CI, 0.921-1.018]; P=0.209), myocardial infarction (OR, 0.972 [95% CI, 0.915-1.033]; P=0.359), ischemic heart disease (OR, 1.013 [95% CI, 0.949-1.082]; P=0.700), coronary heart disease (OR, 1.005 [95% CI, 0.937-1.078]; P=0.881), or coronary atherosclerosis (OR, 0.987 [95% CI, 0.926-1.052]; P=0.690). No significant causal effect of CAD was observed on AD in the reverse MR analysis. Additionally, our findings revealed that CAD did not influence circulating levels of total-tau, nor did circulating levels of total-tau increase the risk of CAD. Sensitivity analysis and assessment of horizontal pleiotropy suggested that these factors did not distort the causal estimates. CONCLUSIONS: The findings of this study indicate the absence of a direct causal relationship between AD and CAD from a genetic perspective. Therefore, managing the 2 diseases should be more independent and targeted. Concurrently, investigating the mechanism underlying their comorbidity may not yield meaningful insights for advancing treatment strategies.
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Doença de Alzheimer , Doença da Artéria Coronariana , Análise da Randomização Mendeliana , Humanos , Doença da Artéria Coronariana/genética , Doença da Artéria Coronariana/epidemiologia , Doença da Artéria Coronariana/sangue , Doença de Alzheimer/genética , Doença de Alzheimer/epidemiologia , Doença de Alzheimer/sangue , Proteínas tau/genética , Proteínas tau/sangue , Fatores de Risco , Biomarcadores/sangue , Medição de Risco , Predisposição Genética para DoençaRESUMO
Diabetic encephalopathy (DE) is a complication of diabetes, especially type 2 diabetes (T2D), characterized by damage in the central nervous system and cognitive impairment, which has gained global attention. Despite the extensive research aimed at enhancing our understanding of DE, the underlying mechanism of occurrence and development of DE has not been established. Mounting evidence has demonstrated a close correlation between DE and various factors, such as Alzheimer's disease-like pathological changes, insulin resistance, inflammation, and oxidative stress. Of interest, nuclear factor erythroid 2-related factor 2 (NRF2) is a transcription factor with antioxidant properties that is crucial in maintaining redox homeostasis and regulating inflammatory responses. The activation and regulatory mechanisms of NRF2 are a relatively complex process. NRF2 is involved in the regulation of multiple metabolic pathways and confers neuroprotective functions. Multiple studies have provided evidence demonstrating the significant involvement of NRF2 as a critical transcription factor in the progression of DE. Additionally, various molecules capable of activating NRF2 expression have shown potential in ameliorating DE. Therefore, it is intriguing to consider NRF2 as a potential target for the treatment of DE. In this review, we aim to shed light on the role and the possible underlying mechanism of NRF2 in DE. Furthermore, we provide an overview of the current research landscape and address the challenges associated with using NRF2 activators as potential treatment options for DE.
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PURPOSE: To investigate the post-radiofrequency ablation (RFA) magnetic resonance imaging (MRI) characteristics in patients with liver metastases from colorectal cancer and to build a predictive model for local tumor progression based on these imaging markers. MATERIALS AND METHODS: A cohort of 73 patients with 110 colorectal cancer liver metastases (CRCLM) who underwent RFA and MRI one month post-ablation was included in image signs analysis and predictive model training. Using a newly developed MRI appearance scoring criteria, MR Image Appearance Scoring at One Month after RFA (MRIAS 1MO), the semi-quantitative analysis of MRI findings within the ablation zone were conducted independently by two radiologists. The intraclass correlation coefficient (ICC) was calculated to evaluate measurement reliability. Differences in MRIAS 1MO scores were compared using Mann-Whitney U test, focusing on local tumor response outcomes. Using local tumor progression (LTP) as the primary end point, MRIAS 1MO scores and other lesion morphological and clinical characteristics were included to establish predictive model. Predication accuracy was subsequently evaluated using calibration curve, time-dependent concordance index (C index) curve, and LTP-free survival (LTPFS) curve. Another cohort comprising 60 patients with 76 CRCLMs provided additional MRIAS 1MO scores and clinical data associated with LTP. We evaluated the performance of the established predictive model using calibration curve, time-dependent C index curve, and LTPFS curve. RESULTS: The MRIAS 1MO criteria exhibited strong measurement reliability. The ICC values of T1S (scores from T1WI), T2S (scores form T2WI) and NCES (scores by adding T1S to T2S) MRIS (the overall scores) were 0.825, 0.779, 0.826 and 0.873, respectively. Lesions with LTP showed significantly higher median values for the overall MRIAS 1MO score (MRIS) compared to lesions without LTP (16 vs. 12, p < 0.001). MRIS and lesion diameter were independent prognostic factors of LTP and were included in predictive model (hazard ratio: MRIS over 13.5:4.275, lesion diameter larger than 30 mm: 2.056). The predictive model demonstrated an overall C index of 0.721 and risk stratification using the predictive model resulted in significantly different LPTFS times. In the validation cohort, the C index were 0.825, 0.794 and 0.764 at six, twelve and twenty-four months, respectively. Patients classified as high-risk in the validation cohort had a median LTPFS time of 10.0 months, while the median LTPFS time was not reached in the low-risk group. CONCLUSIONS: The semi-quantitative MRIAS 1MO criteria, used for post-RFA MRI appearance analysis, exhibited strong measurement reliability. Prediction models established based on overall MRIAS 1MO score (MRIS) and lesion diameter had good predictive performance for LTP in patients undergoing RFA for CRCLM treatment.
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Neoplasias Colorretais , Progressão da Doença , Neoplasias Hepáticas , Imageamento por Ressonância Magnética , Ablação por Radiofrequência , Humanos , Neoplasias Colorretais/patologia , Neoplasias Colorretais/cirurgia , Neoplasias Colorretais/diagnóstico por imagem , Neoplasias Hepáticas/secundário , Neoplasias Hepáticas/diagnóstico por imagem , Neoplasias Hepáticas/cirurgia , Masculino , Feminino , Imageamento por Ressonância Magnética/métodos , Pessoa de Meia-Idade , Idoso , Ablação por Radiofrequência/métodos , Adulto , Estudos Retrospectivos , Idoso de 80 Anos ou maisRESUMO
BACKGROUND: The pathophysiology of diabetic encephalopathy (DE), a significant diabetes-related pathological complication of the central nervous system, is poorly understood. Ferroptosis is an iron-dependent regulated necrotic cell death process that mediates the development of neurodegenerative and diabetes-related lesions. Quercetin (QE) exerts anti-ferroptotic effects in various diseases. However, the roles of ferroptosis in DE and the potential anti-ferroptotic mechanisms of QE are unclear. PURPOSE: This study aimed to investigate if quercetin can ameliorate DE by inhibiting ferroptosis and to elucidate the potential anti-ferroptotic mechanisms of QE, thus providing a new perspective on the pathogenesis and prevention of DE. METHODS: The spontaneously type 2 diabetic Goto-Kakizak rats and high glucose (HG)-induced PC12 cells were used as animal and in vitro models, respectively. The Morris water maze test was performed to evaluate the cognition of rats. Pathological damage was examined using hematoxylin and eosin staining. Mitochondrial damage was assessed using transmission electron microscopy. Lipid peroxidation was evaluated by examining the levels of malondialdehyde, superoxide dismutase, and glutathione. Additionally, the contents of iron ions were quantified. Immunofluorescence and western blotting were carried out to poke the protein levels. Network pharmacology analysis was conducted to construct a protein-protein interaction network for the therapeutic targets of QE in DE. Additionally, molecular docking and cellular thermal shift assay was performed to examine the target of QE. RESULTS: QE alleviated cognitive impairment, decreased lipid peroxidation and iron deposition in the hippocampus, and upregulated the Nrf2/HO-1 signaling pathway. HG-induced ferroptosis in PC12 cells resulted in decreased cell viability accompanied by lipid peroxidation and iron deposition. QE mitigated HG-induced ferroptosis by upregulating the Nrf2/HO-1 pathway, which was partially suppressed upon Nrf2 inhibition. Network pharmacology analysis further indicated that the Nrf2/HO-1 signaling pathway is a key target of QE. Molecular docking experiments revealed that QE binds to KEAP1 through four hydrogen bonds. Moreover, QE altered the thermostability of KEAP1. CONCLUSION: These results indicated that QE inhibits ferroptosis in the hippocampal neurons by binding to KEAP1 and subsequently upregulating the Nrf2/HO-1 signaling pathway.
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Encefalopatias , Diabetes Mellitus , Ferroptose , Hipoglicemia , Animais , Ratos , Proteína 1 Associada a ECH Semelhante a Kelch , Quercetina/farmacologia , Simulação de Acoplamento Molecular , Fator 2 Relacionado a NF-E2 , Hipocampo , FerroRESUMO
Background: Ipsilateral breast tumor recurrence (IBTR) following breast-conserving surgery (BCS) has been considered a risk factor for distant metastasis (DM). Limited data are available regarding the subsequent outcomes after IBTR. Therefore, this study aimed to determine the clinical course after IBTR and develop a magnetic resonance imaging (MRI)-based predictive model for subsequent DM. Methods: We retrospectively extracted quantitative features from MRI to construct a radiomics cohort, with all eligible patients undergoing preoperative MRI at time of primary tumor and IBTR between 2010 and 2018. Multivariate Cox analysis was performed to identify factors associated with DM. Three models were constructed using different sets of clinicopathological, qualitative, and quantitative MRI features and compared. Additionally, Kaplan-Meier analysis was performed to assess the prognostic value of the optimal model. Results: Among the 183 patients who experienced IBTR, 47 who underwent MRI for both primary and recurrent tumors were enrolled. Multivariate analysis demonstrated that the independent prognostic factors were human epidermal growth factor receptor 2 (HER2) status [hazard ratio (HR) =5.40] and background parenchymal enhancement (BPE) (HR =7.94) (all P values <0.01). Furthermore, four quantitative MRI features of recurrent tumors were selected through the least absolute shrinkage and selection operator (LASSO) method. The combined model exhibited superior performance [concordance index (C-index) 0.77] compared to the clinicoradiological model (C-index 0.71; P=0.006) and radiomics model (C-index 0.70; and P=0.01). Furthermore, the combined model successfully categorized patients into low- and high-risk subgroups with distinct prognoses (P<0.001). Conclusions: The clinicopathological and MRI features of IBTR were associated with secondary events following surgery. Additionally, the MRI-based combined model exhibited the highest predictive efficacy. These findings could be helpful in risk stratification and tailoring follow-up strategies in patients with IBTR.
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PURPOSE: To investigate whether a radiomics model based on mammography (MG) and magnetic resonance imaging (MRI) can be used to predict disease-free survival (DFS) after phyllodes tumor (PT) surgery. METHOD: About 131 PT patients who underwent MG and MRI before surgery between January 2010 and December 2020 were retrospectively enrolled, including 15 patients with recurrence and metastasis and 116 without recurrence. 884 and 3138 radiomic features were extracted from MG and MR images, respectively. Then, multiple radiomics models were established to predict the recurrence risk of the patients by applying a support vector machine classifier. The area under the ROC curve (AUC) was calculated to evaluate model performance. After dividing the patients into high- and low-risk groups based on the predicted radiomics scores, survival analysis was conducted to compare differences between the groups. RESULTS: In total, 3 MG-related and 5 MRI-related radiomic models were established; the prediction performance of the T1WI feature fusion model was the best, with an AUC value of 0.93. After combining the features of MG and MRI, the AUC increased to 0.95. Furthermore, the MG, MRI and all-image radiomic models had statistically significant differences in survival between the high- and low-risk groups (P < .001). All-image radiomics model showed higher survival performance than the MG and MRI radiomics models alone. CONCLUSIONS: Radiomics features based on preoperative MG and MR images can predict DFS after PT surgery, and the prediction score of the image radiomics model can be used as a potential indicator of recurrence risk.
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BACKGROUND: Pneumococcal Polysaccharide Vaccine (PPV-23), designed to protect against the most common serotype of Streptococcus pneumoniae, is intended to protect the elderly and other high-risk groups. However, the immunogenicity of all 23 pneumococcal polysaccharide vaccines in older adults has not been thoroughly studied. OBJECTIVE: The purpose of this study is to look into the factors that influence the effect of the pneumonia vaccine on the elderly over 60 years old in Shenzhen, as well as their IgG antibody level against Streptococcus pneumoniae. METHODS: To determine the immune effectiveness of pneumococcal vaccination in older adults over 60 years old, we used the 3rd generation enzyme-linked immunosorbent assay to detect the antibody level of older adults to all 23 pneumococcal polysaccharide vaccines following pneumococcal immunization. RESULTS: Vaccination, the number of physical examinations, pneumonia knowledge, and the pneumonia vaccination policy of the elderly in Shenzhen were all positively correlated with Streptococcus pneumoniae antibody positivity. The distribution of subtypes did not differ between elderly adults (over 65) and younger adults (under 65). The GMCs of IgG antibodies to PPS were significantly lower in males than in females for types 7f, 18c and 19a. At the same time, we found that people with chronic respiratory disease have lower type 9n than people without chronic respiratory disease. Other chronic diseases, such as hypertension and diabetes, had no difference in subtype distribution. CONCLUSION: There was a statistically significant difference in antibody positivity rates for older people with more frequent medical check-ups in Shenzhen, indicating that publicity is playing a role. The effects of age, gender, and chronic diseases on naturally acquired anti-PPS IgG differ.
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Infecções Pneumocócicas , Pneumonia , Doenças Respiratórias , Masculino , Feminino , Humanos , Idoso , Pessoa de Meia-Idade , Streptococcus pneumoniae , Imunoglobulina G , Vacinas Pneumocócicas , Anticorpos Antibacterianos , Doença Crônica , Polissacarídeos , Infecções Pneumocócicas/prevenção & controleRESUMO
PURPOSE: To evaluate the value of inline quantitative analysis of ultrafast dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) using a population-based arterial input function (P-AIF) compared with offline quantitative analysis with an individual AIF (I-AIF) and semi-quantitative analysis for diagnosing breast cancer. METHODS: This prospective study included 99 consecutive patients with 109 lesions (85 malignant and 24 benign). Model-based parameters (Ktrans, kep, and ve) and model-free parameters (washin and washout) were derived from CAIPIRINHA-Dixon-TWIST-VIBE (CDTV) DCE-MRI. Univariate analysis and multivariate logistic regression analysis with forward stepwise covariate selection were performed to identify significant variables. The AUC and F1 score were assessed for semi-quantitative and two quantitative analyses. RESULTS: kep from inline quantitative analysis with P-AIF for diagnosing breast cancer provided an AUC similar to kep from offline quantitative analysis with I-AIF (0.782 vs 0.779, p = 0.954), higher compared to washin from semi-quantitative analysis (0.782 vs 0.630, p = 0.034). Furthermore, the inline quantitative analysis with P-AIF achieved the larger F1 score (0.920) compared with offline quantitative analysis with I-AIF (0.780) and semi-quantitative analysis (0.480). There were no statistically significant differences for kep values between the two quantitative analysis schemes (p = 0.944). CONCLUSION: The inline quantitative analysis with P-AIF from CDTV in characterizing breast lesions could offer similar diagnostic accuracy to offline quantitative analysis with I-AIF, and higher diagnostic accuracy to semi-quantitative analysis.
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Neoplasias da Mama , Meios de Contraste , Interpretação de Imagem Assistida por Computador , Imageamento por Ressonância Magnética , Humanos , Feminino , Neoplasias da Mama/diagnóstico por imagem , Pessoa de Meia-Idade , Imageamento por Ressonância Magnética/métodos , Estudos Prospectivos , Adulto , Idoso , Interpretação de Imagem Assistida por Computador/métodos , Sensibilidade e Especificidade , Reprodutibilidade dos Testes , Aumento da Imagem/métodos , AlgoritmosRESUMO
Coffee, a widely consumed beverage, has shown benefits for human health but lacks sufficient basic and clinical evidence to fully understand its impacts and mechanisms. Here, we conducted a cross-sectional observational study of coffee consumption and a 1-month clinical trial in humans. We found that coffee consumption significantly reshaped the immune system and metabolism, including reduced levels of inflammatory factors and a reduced frequency of senescent T cells. The frequency of senescent T cells and the levels of the senescence-associated secretory phenotype were lower in both long-term coffee consumers and new coffee consumers than in coffee nondrinking subjects, suggesting that coffee has anti-immunosenescence effects. Moreover, coffee consumption downregulated the activities of the The Janus kinase/signal transduction and activator of transcription (JAK/STAT) and mitogen-activated protein kinases (MAPK) signaling pathways and reduced systemic proinflammatory cytokine levels. Mechanistically, coffee-associated metabolites, such as 1-methylxanthine, 3-methylxanthine, paraxanthine, and ceramide, reduced the frequency of senescent CD4+CD57+â T cells in vitro. Finally, in vivo, coffee intake alleviated inflammation and immunosenescence in imiquimod-induced psoriasis-like mice. Our results provide novel evidence of the anti-inflammatory and anti-immunosenescence effects of coffee, suggesting that coffee consumption could be considered a healthy habit.
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BACKGROUND: Brain metastasis (BM) is most common in non-small cell lung cancer (NSCLC) patients. This study aims to enhance BM risk prediction within three years for advanced NSCLC patients by using a deep learning-based segmentation and computed tomography (CT) radiomics-based ensemble learning model. METHODS: This retrospective study included 602 stage IIIA-IVB NSCLC patients, 309 BM patients and 293 non-BM patients, from two centers. Patients were divided into a training cohort (N = 376), an internal validation cohort (N = 161) and an external validation cohort (N = 65). Lung tumors were first segmented by using a three-dimensional (3D) deep residual U-Net network. Then, a total of 1106 radiomics features were computed by using pretreatment lung CT images to decode the imaging phenotypes of primary lung cancer. To reduce the dimensionality of the radiomics features, recursive feature elimination configured with the least absolute shrinkage and selection operator (LASSO) regularization method was applied to select the optimal image features after removing the low-variance features. An ensemble learning algorithm of the extreme gradient boosting (XGBoost) classifier was used to train and build a prediction model by fusing radiomics features and clinical features. Finally, KaplanâMeier (KM) survival analysis was used to evaluate the prognostic value of the prediction score generated by the radiomics-clinical model. RESULTS: The fused model achieved area under the receiver operating characteristic curve values of 0.91 ± 0.01, 0.89 ± 0.02 and 0.85 ± 0.05 on the training and two validation cohorts, respectively. Through KM survival analysis, the risk score generated by our model achieved a significant prognostic value for BM-free survival (BMFS) and overall survival (OS) in the two cohorts (P < 0.05). CONCLUSIONS: Our results demonstrated that (1) the fusion of radiomics and clinical features can improve the prediction performance in predicting BM risk, (2) the radiomics model generates higher performance than the clinical model, and (3) the radiomics-clinical fusion model has prognostic value in predicting the BMFS and OS of NSCLC patients.
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Neoplasias Encefálicas , Carcinoma Pulmonar de Células não Pequenas , Aprendizado Profundo , Neoplasias Pulmonares , Humanos , Carcinoma Pulmonar de Células não Pequenas/diagnóstico por imagem , Neoplasias Pulmonares/diagnóstico por imagem , Radiômica , Estudos Retrospectivos , Tomografia Computadorizada por Raios X , Neoplasias Encefálicas/diagnóstico por imagemRESUMO
The objective of this research was to examine the correlation between the status of inactivated COVID-19 vaccination and self-reported confirmed SARS-CoV-2 infection among adults after China entered the "living with COVID" era. A cross-sectional online survey was conducted among parents or guardians of students attending all 220 kindergartens and 105 primary or secondary schools in Longhua District of Shenzhen, China during March 1 to 9, 2023. The participating schools invited all parents or guardians of their students to complete the online survey. The study focused on a sub-sample of 68,584 participants who were either unvaccinated (n = 2152) or only receiving inactivated COVID-19 vaccination (n = 66,432). Logistic regression was employed for data analysis. Prior to the implementation of the "living with COVID" policy, 83.5% of the participants received three doses of inactivated COVID-19 vaccines; 63.0% reported being infected with the SARS-CoV-2 after the policy change. In a multivariate analysis, participants who had received a third dose within the past 6 months were less likely to be infected with SARS-CoV-2, as compared to those who had not completed the primary vaccination series (4-6 months: AOR: 0.84, 95%CI: 0.77, 0.92; ≤3 months: AOR: 0.82, 95%CI: 0.73, 0.92). Despite the high coverage, our results suggested that three doses of inactivated COVID-19 vaccines did not provide adequate protection against SARS-CoV-2 infection among Chinese adults.
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China started to offer human papillomavirus (HPV) vaccines to females aged 9-45 years in 2016. However, there was a lack of reports about HPV vaccination coverage in a representative sample of females in China. Therefore, this study aimed to examine the current HPV coverage and associated factors among females aged 9-50 years in Shenzhen, China, based on administrative health records kept by community health centers. A multistage random sampling approach was used. The research team randomly selected 18 community health centers in Shenzhen, and 3118 health records of females aged 9-50 years were then randomly selected from these health centers. Among all participants, 18.7% received at least one dose of HPV vaccination. The highest coverage was observed among females aged 18-26 years (23.4%), followed by those aged 27-35 years (22.0%) and 36-45 years (20.2%). Such coverage was very low among females aged 9-17 years (4.6%) and those aged 46-50 years (3.2%). Among females aged 18 years or above, higher education level, having a family doctor, and permanent residency in Shenzhen were associated with higher HPV vaccination coverage, while older age and being married/divorced were negatively associated with coverage. The HPV vaccination coverage in Shenzhen was 18.7% and there is a strong need for improvement.
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Alzheimer's disease (AD) is the most common neurodegenerative disease often associated with olfactory dysfunction. Aß is a typical AD hall marker, but Aß-induced molecular alterations in olfactory memory remain unclear. In this study, we used a 5xFAD mouse model to investigate Aß-induced olfactory changes. Results showed that 4-month-old 5xFAD have olfactory memory impairment accompanied by piriform cortex neuron activity decline and no sound or working memory impairment. In addition, synapse and glia functional alteration is consistent across different ages at the proteomic level. Microglia and astrocyte specific proteins showed strong interactions in the conserved co-expression network module. Moreover, this interaction declines only in mild cognitive impairment patients in human postmortem brain proteomic data. This suggests that astrocytes-microglia interaction may play a leading role in the early stage of Aß-induced olfactory memory impairment, and the decreasing of their synergy may accelerate the neurodegeneration.
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Breast cancer has become the most common malignant tumor worldwide. However, the survival rate of breast cancer patients in China is 8% lower compared to that in European and American countries. Insufficient screening coverage and low rate of early detection are key problems. Therefore, it is imperative to develop a set of guidelines for breast cancer screening, early diagnosis, and treatment strategies suitable for Chinese women. The National Health Commission, the National Cancer Center, and the National Cancer Quality Control Center collectively organized a committee of specialists with multidisciplinary backgrounds in breast surgery, oncology, radiotherapy, diagnostic imaging, ultrasound, pathology, epidemiology, and health economics. The committee collectively published "China Breast Cancer Screening, Early Diagnosis and Treatment Specification", in which the committee outlined a set of strategies of breast cancer screening, early diagnosis, and treatment suitable for China's national conditions. The strategies were formulated based on clinical experience in breast cancer prevention and treatment, characteristics of breast cancer patients in China, and socioeconomic conditions. The purpose of this article is to provide an interpretation of the above guidelines as a reference for breast cancer screening.
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Alzheimer's disease, the primary cause of dementia, is characterized by neuropathologies, such as amyloid plaques, synaptic and neuronal degeneration, and neurofibrillary tangles. Although amyloid plaques are the primary characteristic of Alzheimer's disease in the central nervous system and peripheral organs, targeting amyloid-beta clearance in the central nervous system has shown limited clinical efficacy in Alzheimer's disease treatment. Metabolic abnormalities are commonly observed in patients with Alzheimer's disease. The liver is the primary peripheral organ involved in amyloid-beta metabolism, playing a crucial role in the pathophysiology of Alzheimer's disease. Notably, impaired cholesterol metabolism in the liver may exacerbate the development of Alzheimer's disease. In this review, we explore the underlying causes of Alzheimer's disease and elucidate the role of the liver in amyloid-beta clearance and cholesterol metabolism. Furthermore, we propose that restoring normal cholesterol metabolism in the liver could represent a promising therapeutic strategy for addressing Alzheimer's disease.