Deep-learning model to improve histological grading and predict upstaging of atypical ductal hyperplasia / ductal carcinoma in situ on breast biopsy.

AIMS: Risk stratification of atypical ductal hyperplasia (ADH) and ductal carcinoma in situ (DCIS), diagnosed using breast biopsy, has great clinical significance. Clinical trials are currently exploring the possibility of active surveillance for low-risk lesions, whereas axillary lymph node staging may be considered during surgical planning for high-risk lesions. We aimed to develop a machine-learning algorithm based on whole-slide images of breast biopsy specimens and clinical information to predict the risk of upstaging to invasive breast cancer after wide excision. METHODS AND RESULTS: Patients diagnosed with ADH/DCIS on breast biopsy were included in this study, comprising 592 (740 slides) and 141 (198 slides) patients in the development and independent testing cohorts, respectively. Histological grading of the lesions was independently evaluated by two pathologists. Clinical information, including biopsy method, lesion size, and Breast Imaging Reporting and Data System (BI-RADS) classification of ultrasound and mammograms, were collected. Deep DCIS consisted of three deep neural networks to evaluate nuclear grade, necrosis, and stromal reactivity. Deep DCIS output comprised five parameters: total patches, lesion extent, Deep Grade, Deep Necrosis, and Deep Stroma. Deep DCIS highly correlated with the pathologists' evaluations of both slide- and patient-level labels. All five parameters of Deep DCIS were significantly associated with upstaging to invasive carcinoma in subsequent wide excisional specimens. Using multivariate logistic regression, Deep DCIS predicted upstaging to invasive carcinoma with an area under the curve (AUC) of 0.81, outperforming pathologists' evaluation (AUC, 0.71 and 0.69). After including clinical and hormone receptor status information, performance further improved (AUC, 0.87). This combined model retained its predictive power in two subgroup analyses: the first subgroup included unequivocal DCIS (excluding cases of ADH and DCIS suspicious for microinvasion) (AUC, 0.83), while the second excluded cases of high-grade DCIS (AUC, 0.81). The model was validated in an independent testing cohort (AUC, 0.81). CONCLUSION: This study demonstrated that deep-learning models can refine histological evaluation of ADH and DCIS on breast biopsies, which may help guide future treatment planning.

A novel computer-assisted tool for 3D imaging of programmed death-ligand 1 expression in immunofluorescence-stained and optically cleared breast cancer specimens.

BACKGROUND: Programmed death-1 (PD-1) and programmed death-ligand 1 (PD-L1) are the two most common immune checkpoints targeted in triple-negative breast cancer (BC). Refining patient selection for immunotherapy is non-trivial and finding an appropriate digital pathology framework for spatial analysis of theranostic biomarkers for PD-1/PD-L1 inhibitors remains an unmet clinical need. METHODS: We describe a novel computer-assisted tool for three-dimensional (3D) imaging of PD-L1 expression in immunofluorescence-stained and optically cleared BC specimens (n = 20). The proposed 3D framework appeared to be feasible and showed a high overall agreement with traditional, clinical-grade two-dimensional (2D) staining techniques. Additionally, the results obtained for automated immune cell detection and analysis of PD-L1 expression were satisfactory. RESULTS: The spatial distribution of PD-L1 expression was heterogeneous across various BC tissue layers in the 3D space. Notably, there were six cases (30%) wherein PD-L1 expression levels along different layers crossed the 1% threshold for admitting patients to PD-1/PD-L1 inhibitors. The average PD-L1 expression in 3D space was different from that of traditional immunohistochemistry (IHC) in eight cases (40%). Pending further standardization and optimization, we expect that our technology will become a valuable addition for assessing PD-L1 expression in patients with BC. CONCLUSION: Via a single round of immunofluorescence imaging, our approach may provide a considerable improvement in patient stratification for cancer immunotherapy as compared with standard techniques.

Geographic variation in disease burden among patients with severe persistent asthma in the United States.

BACKGROUND: In the United States, a few studies have evaluated geographic variation of severe asthma at the subnational level. OBJECTIVE: To assess state-level geographic variation in the prevalence and characteristics of severe persistent asthma in the United States. METHODS: Patients aged above or equal to 12 years with severe persistent asthma were identified using nationally representative data from IQVIA open-source Medical/Pharmacy Claims and PharMetrics Plus databases (January 2019-December 2020). The index date was defined as the patient's earliest qualifying date for a severe asthma diagnosis. Baseline characteristics were measured during the 12-month pre-index period. Outcomes including exacerbation occurrence, asthma control, and medication use were measured during the 12-month post-index period and compared across states using census-level projections. RESULTS: A total of 2,092,799 patients with asthma were identified; 496,750 (23.7%) met criteria for severe persistent asthma and all inclusion criteria. Mean age was 50.5 years; 68.4% were females. The prevalence of severe persistent asthma varied across states, ranging from 19.6% (New Mexico) to 31.9% (Alaska). Among patients with severe persistent asthma, 40.9% had more than or equal to 1 exacerbation, ranging from 34.2% (Vermont) to 45.6% (Louisiana); 21.1% had uncontrolled disease, ranging from 16.5% (Vermont) to 24.0% (Arizona). Among patients with exacerbations, 13.7% had exacerbation-related emergency department visits or hospitalizations, ranging from 7.0% (North Carolina) to 17.7% (Nevada). Among patients with severe uncontrolled asthma, 15.6% used biologics post-index, ranging from 2.2% (Hawaii) to 27.9% (Mississippi). CONCLUSION: There is significant variability in severe persistent asthma prevalence and disease burden across US states. Reasons for geographic variation may include differences in socioeconomic/environmental factors or asthma management.

Patient and Clinician Preferences for Biologic Treatments for Severe Uncontrolled Asthma: A Discrete Choice Experiment (DCE).

OBJECTIVES: To estimate the preferences of patients with asthma and asthma-treating clinicians for attributes of biologic treatments, to compare patients' and clinicians' preferences, and to better understand the reasons for their preferences. METHODS: Adults with moderate-to-severe asthma and clinicians who treat asthma in the US completed a cross-sectional, online survey including a discrete choice experiment (DCE) that consisted of seven attributes spanning treatment efficacy, risk and convenience. Marginal utilities were estimated using a mixed logit model, and relative attribute importance scores calculated. Clinicians were also asked about the value of biomarker agnostic biologic treatments. The survey was followed by qualitative interviews targeting a sub-sample of survey participants, in which the rationale behind their survey responses was discussed. RESULTS: In the DCE, both patients and clinicians placed the most importance on exacerbation and hospitalization rate reduction, and risk of injection site reaction. Patients valued location of administration more than clinicians. Rationale for individual-level preferences varied, with patients and clinicians reporting their preference depended on event frequency and anticipated quality of life impacts. Clinicians mentioned compliance and financial impacts, while patients mentioned personal experience, particularly around site reactions. Most patients and clinicians would value a biomarker agnostic asthma treatment. CONCLUSIONS: Asthma treatment preferences are largely driven by treatment efficacy and minimizing the risk of site reactions, although preferences differ between patients and clinicians across other attributes, highlighting the need for shared decision-making and individualized care.

Assessing risk of recurrent small bowel obstruction after non-operative management in patients with history of intra-abdominal surgery: a population-based comprehensive analysis in Taiwan.

BACKGROUND: Despite a significant 30% ten-year readmission rate for SBO patients, investigations into recurrent risk factors after non-operative management are scarce. The study aims to generate a risk factor scoring system, the 'Small Bowel Obstruction Recurrence Score' (SBORS), predicting 6-month recurrence of small bowel obstruction (SBO) after successful non-surgical management in patients who have history of intra-abdominal surgery. METHODS: We analyzed data from patients aged ≥ 18 with a history of intra-abdominal surgery and diagnosed with SBO (ICD-9 code: 560, 568) and were successful treated non-surgically between 2004 and 2008. Participants were divided into model-derivation (80%) and validation (20%) group. RESULTS: We analyzed 23,901 patients and developed the SBORS based on factors including the length of hospital stay > 4 days, previous operations > once, hemiplegia, extra-abdominal and intra-abdominal malignancy, esophagogastric surgery and intestino-colonic surgery. Scores > 2 indicated higher rates and risks of recurrence within 6 months (12.96% vs. 7.27%, OR 1.898, p < 0.001 in model-derivation group, 12.60% vs. 7.05%, OR 1.901, p < 0.001 in validation group) with a significantly increased risk of mortality and operative events for recurrent episodes. The SBORS model demonstrated good calibration and acceptable discrimination, with an area under curve values of 0.607 and 0.599 for the score generation and validation group, respectively. CONCLUSIONS: We established the effective 'SBORS' to predict 6-month SBO recurrence risk in patients who have history of intra-abdominal surgery and have been successfully managed non-surgically for the initial obstruction event. Those with scores > 2 face higher recurrence rates and operative risks after successful non-surgical management.

MetaSquare: an integrated metadatabase of 16S rRNA gene amplicon for microbiome taxonomic classification.

MOTIVATION: Taxonomic classification of 16S ribosomal RNA gene amplicon is an efficient and economic approach in microbiome analysis. 16S rRNA sequence databases like SILVA, RDP, EzBioCloud and HOMD used in downstream bioinformatic pipelines have limitations on either the sequence redundancy or the delay on new sequence recruitment. To improve the 16S rRNA gene-based taxonomic classification, we merged these widely used databases and a collection of novel sequences systemically into an integrated resource. RESULTS: MetaSquare version 1.0 is an integrated 16S rRNA sequence database. It is composed of more than 6 million sequences and improves taxonomic classification resolution on both long-read and short-read methods. AVAILABILITY AND IMPLEMENTATION: Accessible at https://hub.docker.com/r/lsbnb/metasquare_db and https://github.com/lsbnb/MetaSquare. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Obesity indices and the risk of total and cardiovascular mortality among people with diabetes: a long-term follow-up study in Taiwan.

BACKGROUND: The association between obesity indicators and mortality in individuals with diabetes remains unclear, and data on cardiovascular mortality are scarce. Therefore, we investigated the associations between the five adiposity indices and both all-cause and cardiovascular mortality in patients with diabetes. METHODS: This cohort study included 34,686 adults with diabetes who underwent a standard health-screening program between 1996 and 2017 in Taiwan. The dates and causes of death till January 2022 were retrieved from the National Death Registry. Cox proportional hazards models were used to calculate the hazard ratios (HR) and 95% confidence intervals (CI) for all-cause and cardiovascular mortality in relation to body mass index (BMI), waist circumference, waist-hip ratio (WHR), body fat percentage (BF%), and A Body Shape Index (ABSI), using the third quintile as the reference group. RESULTS: During a median follow-up of 15 years, there were 8,324 deaths, of which 1,748 were attributed to cardiovascular disease. After adjusting for demographics, lifestyle factors and comorbidities, ABSI was associated with all-cause mortality in an exposure-response manner; the HR (95% CI) for first and fifth vs. third quintile was 0.78 (0.69-0.89) and 1.24 (1.14-1.35), respectively. A similar but weaker exposure-response relationship was found between WHR and mortality. People with a lower BMI and BF% had an increased risk of mortality (HR [95% CI] for the first vs. third quintiles, 1.33 [1.22, 1.44] and 1.42 [1.30, 1.56], respectively). No association was observed between waist circumference categories and risk of mortality. Similar results were observed for the association of BF%, waist circumference, and ABSI with cardiovascular mortality. However, no significant association was observed between BMI and cardiovascular mortality. The association between WHR and cardiovascular mortality was stronger than that between WHR and all-cause mortality. CONCLUSIONS: ABSI demonstrated a consistent exposure-response relationship with both all-cause and cardiovascular mortality in this Asian cohort with diabetes. Our findings highlight the importance of monitoring ABSI, a surrogate index of central adiposity, in patients with diabetes.

Emotional bias training as a treatment for anxiety and depression: evidence from experimental medicine studies in healthy and medicated samples.

BACKGROUND: Anxiety and depression are leading causes of disability worldwide, yet individuals are often unable to access appropriate treatment. There is a need to develop effective interventions that can be delivered remotely. Previous research has suggested that emotional processing biases are a potential target for intervention, and these may be altered through brief training programs. METHODS: We report two experimental medicine studies of emotional bias training in two samples: individuals from the general population (n = 522) and individuals currently taking antidepressants to treat anxiety or depression (n = 212). Participants, recruited online, completed four sessions of EBT from their own home. Mental health and cognitive functioning outcomes were assessed at baseline, immediately post-training, and at 2-week follow-up. RESULTS: In both studies, our intervention successfully trained participants to perceive ambiguous social information more positively. This persisted at a 2-week follow-up. There was no clear evidence that this change in emotional processing transferred to improvements in symptoms in the primary analyses. However, in both studies, there was weak evidence for improved quality of life following EBT amongst individuals with more depressive symptoms at baseline. No clear evidence of transfer effects was observed for self-reported daily stress, anhedonia or depressive symptoms. Exploratory analyses suggested that younger participants reported greater treatment gains. CONCLUSIONS: These studies demonstrate the effectiveness of delivering a multi-session online training program to promote lasting cognitive changes. Given the inconsistent evidence for transfer effects, EBT requires further development before it can be considered as a treatment for anxiety and depression.

Comparative Efficacy of Pharmacological Treatments for Acne Vulgaris: A Network Meta-Analysis of 221 Randomized Controlled Trials.

PURPOSE: Acne is an extremely common skin disease with an estimated global prevalence of 9.4%. We aim to provide comprehensive comparisons of the common pharmacological treatments for acne. METHODS: Randomized controlled trials comparing the efficacy of pharmacological therapies for acne vulgaris in patients of any age and sex and with a treatment duration of >2 weeks were included. PubMed and Embase databases were searched from inception until February 2022. Our prespecified primary end points were mean percentage reduction in total, inflammatory, and noninflammatory lesions. Treatment ranking was determined by P values. RESULTS: There were 210 articles describing 221 trials and 37 interventions included in the analysis. Our primary analysis of percentage reduction in total lesion count had 65,601 patients enrolled. Across all trials, the mean age was 20.4 years. The median duration of treatment was 12 weeks. The median total, inflammatory, and noninflammatory lesion counts were 72, 27, and 44, respectively. The most effective treatment was oral isotretinoin (mean difference [MD] = 48.41; P = 1.00), followed by triple therapy containing a topical antibiotic, a topical retinoid, and benzoyl peroxide (BPO) (MD = 38.15; P = .95) and by triple therapy containing an oral antibiotic, a topical retinoid, and BPO (MD = 34.83; P = .90). For monotherapies, oral or topical antibiotics or topical retinoids have comparable efficacy for inflammatory lesions, while oral or topical antibiotics have less effect on noninflammatory lesions. CONCLUSION: The most effective treatment for acne is oral isotretinoin, followed by triple therapies containing a topical retinoid, BPO, and an antibiotic. We present detailed comparisons of each intervention to serve as a practical database.

Exacerbations, treatment patterns, utilization, and costs before and after initiating of benralizumab for the treatment of severe eosinophilic asthma.

OBJECTIVES: The purpose of this study was to examine the number of exacerbations, counts of eosinophils, and asthma-related symptoms 1 year before and after initiating benralizumab for the treatment of severe eosinophilic asthma. METHODS: Patients with prior exacerbations and newly initiating benralizumab were identified in the claims-based Healthcare Integrated Research Database. Claims were used to assess benralizumab treatment patterns, exacerbations, healthcare resource utilization, and other asthma medication used. Among a subset of patients, medical records were abstracted for Asthma Control Test (ACT) scores and asthma symptoms. RESULTS: There were 506 patients meeting inclusion/exclusion criteria for claims-based analyses and 123 for medical-record analyses. The number of patients experiencing exacerbations significantly decreased from baseline to follow-up (40% reduction, McNemar's χ2 = 204.00, p < .001). The mean number of exacerbations also decreased from 3.2 (1.5) to 1.2 (1.4) (paired t = 24.45, p < .001; Cohen's D = 1.09). The effects were larger among patients with eosinophils ≥300 cells/µL. Among patients with an ACT available for baseline and follow-up (n = 47), there was a significant reduction in the number of patients with scores <19 (72% vs. 45%, p < .01). CONCLUSIONS: Treatment with benralizumab resulted in fewer exacerbations, reduced utilization, and improved ACT scores. This study demonstrates that benralizumab is an effective treatment option for patients with severe eosinophilic asthma.

Predicting in-hospital mortality risk for perforated peptic ulcer surgery: the PPUMS scoring system and the benefit of laparoscopic surgery: a population-based study.

BACKGROUND: The major treatment for perforated peptic ulcers (PPU) is surgery. It remains unclear which patient may not get benefit from surgery due to comorbidity. This study aimed to generate a scoring system by predicting mortality for patients with PPU who received non-operative management (NOM) and surgical treatment. METHOD: We extracted the admission data of adult (≥ 18 years) patients with PPU disease from the NHIRD database. We randomly divided patients into 80% model derivation and 20% validation cohorts. Multivariate analysis with a logistic regression model was applied to generate the scoring system, PPUMS. We then apply the scoring system to the validation group. RESULT: The PPUMS score ranged from 0 to 8 points, composite with age (< 45: 0 points, 45-65: 1 point, 65-80: 2 points, > 80: 3 points), and five comorbidities (congestive heart failure, severe liver disease, renal disease, history of malignancy, and obesity: 1 point each). The areas under ROC curve were 0.785 and 0.787 in the derivation and validation groups. The in-hospital mortality rates in the derivation group were 0.6% (0 points), 3.4% (1 point), 9.0% (2 points), 19.0% (3 points), 30.2% (4 points), and 45.9% when PPUMS > 4 point. Patients with PPUMS > 4 had a similar in-hospital mortality risk between the surgery group [laparotomy: odds ratio (OR) = 0.729, p = 0.320, laparoscopy: OR = 0.772, p = 0.697] and the non-surgery group. We identified similar results in the validation group. CONCLUSION: PPUMS scoring system effectively predicts in-hospital mortality for perforated peptic ulcer patients. It factors in age and specific comorbidities is highly predictive and well-calibrated with a reliable AUC of 0.785-0.787. Surgery, no matter laparotomy or laparoscope, significantly reduced mortality for scores < = 4. However, patients with a score > 4 did not show this difference, calling for tailored approaches to treatment based on risk assessment. Further prospective validation is suggested.

Urban climate and cardiovascular health: Focused on seasonal variation of urban temperature, relative humidity, and PM2.5 air pollution.

Seasonal effects on subclinical cardiovascular functions (CVFs) are an important emerging health issue for people living in urban environment. The objectives of this study were to demonstrate the effects of seasonal variations of temperature, relative humidity, and PM2.5 air pollution on CVFs. A total of 86 office workers in Taipei City were recruited, their arterial pressure waveform was recorded by cuff sphygmomanometer using an oscillometric blood pressure (BP) device for CVFs assessment. Results of paried t-test with Bonferroni correction showed significantly increased systolic and diastolic BP (SBP, DBP), central end-systolic and diastolic BP (cSBP, cDBP) and systemic vascular resistance, but decreased heart rate (HR), stroke volume (SV), cardio output (CO), and cardiac index in winter compared with other seasons. After controlling for related confounding factors, SBP, DBP, cSBP, cDBP, LV dp/dt max, and brachial-ankle pulse wave velocity (baPWV) were negatively associated with, and SV was positively associated with seasonal temperature changes. Seasonal changes of air pollution in terms of PM2.5 were significantly positively associated with DBP and cDBP, as well as negatively associated with HR and CO. Seasonal changes of relative humidity were significantly negatively associated with DBP, and cDBP, as well as positively associated with HR, CO, and baPWV. This study provides evidence of greater susceptibility to cardiovascular events in winter compared with other seasons, with ambient temperature, relative humidity, and PM2.5 as the major factors of seasonal variation of CVFs.

Recommendations for ventilation of remodeled negative-pressure isolation wards for COVID-19 patients: A comparison of international guidelines.

This mini-review provides the practice guideline recommendations for ventilation of remodeled negative-pressure isolation wards for COVID-19 Patients. Remodeled "quasi-negative-pressure" isolation wards had been proved a feasible, inexpensive, safe, and effective measure to contain nosocomial outbreaks. We should first determine the minimum required ventilation volume of an isolation ward based on the severity of COVID-19 patients. Mechanical ventilation remains the mainstay for achieving the requirement, while the assistance of recirculation is also helpful. Beyond adequate ventilation volume, the "clean to less-clean" directional airflow remains the golden rule for the solution of indoor ventilation. The virus-laden exhaust should be treated with HEPA/UV device or be kept away from living organisms, buildings, and air inlets.

A cross-sectional, observational study of nutritional status and eating behaviours in people living with dementia in acute care settings.

AIMS AND OBJECTIVES: To understand the nutritional status, observing eating difficulties during mealtimes for people living with dementia in acute care settings. BACKGROUND: Changed eating behaviours caused by declining cognitive function is common in people living with dementia which can lead to malnutrition. Malnutrition is associated with prolonged hospitalisation and increased mortality. People living with dementia in acute care settings are at high risk of malnutrition. This highlights the importance of better understanding the nutritional intake and eating behaviours of people living with dementia in acute care settings. DESIGN: This study is a cross-sectional, observational study. METHODS: Data of mealtime difficulties and nutritional status of people living with dementia were collected in four geriatric care wards (in acute or sub-acute hospitals) by using Feeding Difficulty Index and Mini Nutritional Assessment Short-Form. The STROBE checklist was used throughout this study. RESULTS: The study included 94 people living with dementia. The median age of the participants was 85.86 years old, with a Feeding Difficulty Index of 8.27 and had stayed in hospitals for average 14.46 days, with an average total feeding time of 24.61 min. Only 1.2% of participants were considered to be in normal nutritional status, whereas 72.1% were malnourished. All participants required partial or full assistance during mealtime. Participants with higher scores on the Feeding Difficulty Index have longer total feeding times, compared to those with lower scores. CONCLUSIONS: Malnutrition is prevalent in people living with dementia. People living with dementia demonstrate varying mealtime difficulties depending on the level of dependence. Mealtime assistance training programs are warranted and are beneficial for nursing staff and family members to improve their feeding skills and knowledge. NO PATIENT OR PUBLIC CONTRIBUTION: This study did not involve patients, service users, caregivers or members of the public. RELEVANCE TO CLINICAL PRACTICE: The study is relevant to clinical practice by identifying changed eating behaviours or mealtime difficulties in people living with dementia in acute care settings can significantly decrease the risk of malnutrition.

Intelligent De Novo Design of Novel Antimicrobial Peptides against Antibiotic-Resistant Bacteria Strains.

Because of the growing number of clinical antibiotic resistance cases in recent years, novel antimicrobial peptides (AMPs) may be ideal for next-generation antibiotics. This study trained a Wasserstein generative adversarial network with gradient penalty (WGAN-GP) based on known AMPs to generate novel AMP candidates. The quality of the GAN-designed peptides was evaluated in silico, and eight of them, named GAN-pep 1-8, were selected by an AMP Artificial Intelligence (AI) classifier and synthesized for further experiments. Disc diffusion testing and minimum inhibitory concentration (MIC) determinations were used to identify the antibacterial effects of the synthesized GAN-designed peptides. Seven of the eight synthesized GAN-designed peptides displayed antibacterial activity. Additionally, GAN-pep 3 and GAN-pep 8 presented a broad spectrum of antibacterial effects and were effective against antibiotic-resistant bacteria strains, such as methicillin-resistant Staphylococcus aureus and carbapenem-resistant Pseudomonas aeruginosa. GAN-pep 3, the most promising GAN-designed peptide candidate, had low MICs against all the tested bacteria. In brief, our approach shows an efficient way to discover AMPs effective against general and antibiotic-resistant bacteria strains. In addition, such a strategy also allows other novel functional peptides to be quickly designed, identified, and synthesized for validation on the wet bench.

Perspective for Single Atom Nanozymes Based Sensors: Advanced Materials, Sensing Mechanism, Selectivity Regulation, and Applications.

Nanozymes are a kind of nanomaterial mimicking enzyme catalytic activity, which has aroused extensive interest in the fields of biosensors, biomedicine, and climate and ecosystems management. However, due to the complexity of structures and composition of nanozymes, atomic scale active centers have been extensively investigated, which helps with in-depth understanding of the nature of the biocatalysis. Single atom nanozymes (SANs) cannot only significantly enhance the activity of nanozymes but also effectively improve the selectivity of nanozymes owing to the characteristics of simple and adjustable coordination environment and have been becoming the brightest star in the nanozyme spectrum. The SANs based sensors have also been widely investigated due to their definite structural features, which can be helpful to study the catalytic mechanism and provide ways to improve catalytic activity. This perspective presents a comprehensive understanding on the advances and challenges on SANs based sensors. The catalytic mechanisms of SANs and then the sensing application from the perspectives of sensing technology and sensor construction are thoroughly analyzed. Finally, the major challenges, potential future research directions, and prospects for further research on SANs based sensors are also proposed.

Glucose Conferred Irinotecan Chemoresistance through Divergent Actions of Pyruvate and ATP in Cell Death and Proliferation of Colorectal Cancer.

BACKGROUND: Altered glucose metabolism is associated with chemoresistance in colorectal cancer (CRC). This study aimed to illustrate the molecular mechanisms of glucose-mediated chemoresistance against irinotecan, a topoisomerase I inhibitor, focusing on the distinct roles of metabolites such as pyruvate and ATP in modulating cell death and proliferation. METHODS: Four human CRC cell lines, tumorspheres, and mouse xenograft models were treated with various doses of irinotecan in the presence of various concentrations of glucose, pyruvate, or ATP-encapsulated liposomes. RESULTS: In this study, human CRC cell lines treated with irinotecan in high glucose displayed increased cell viability and larger xenograft tumor sizes in mouse models compared to those treated in normal glucose concentrations. Irinotecan induced apoptosis and necroptosis, both mitigated by high glucose. Liposomal ATP prevented irinotecan-induced apoptosis, while it did not affect necroptosis. In contrast, pyruvate attenuated the receptor-interacting protein kinase 1/3-dependent necroptosis via free radical scavenging without modulating apoptotic levels. Regarding the cell cycle, liposomal ATP aggravated the irinotecan-induced G0/G1 shift, whereas pyruvate diminished the G0/G1 shift, showing opposite effects on proliferation. Last, tumorsphere structural damage, an index of solid tumor responsiveness to chemotherapy, was determined. Liposomal ATP increased tumorsphere size while pyruvate prevented the deformation of spheroid mass. CONCLUSIONS: Glucose metabolites confer tumor chemoresistance via multiple modes of action. Glycolytic pyruvate attenuated irinotecan-induced necroptosis and potentiated drug insensitivity by shifting cells from a proliferative to a quiescent state. On the other hand, ATP decreased irinotecan-induced apoptosis and promoted active cell proliferation, contributing to tumor recurrence. Our findings challenged the traditional view of ATP as the main factor for irinotecan chemoresistance and provided novel insights of pyruvate acting as an antioxidant responsible for drug insensitivity, which may shed light on the development of new therapies against recalcitrant cancers.

Enrichment of Prevotella intermedia in human colorectal cancer and its additive effects with Fusobacterium nucleatum on the malignant transformation of colorectal adenomas.

BACKGROUND: Owing to the heterogeneity of microbiota among individuals and populations, only Fusobacterium nucleatum and Bacteroides fragilis have been reported to be enriched in colorectal cancer (CRC) in multiple studies. Thus, the discovery of additional bacteria contributing to CRC development in various populations can be expected. We aimed to identify bacteria associated with the progression of colorectal adenoma to carcinoma and determine the contribution of these bacteria to malignant transformation in patients of Han Chinese origin. METHODS: Microbiota composition was determined through 16S rRNA V3-V4 amplicon sequencing of autologous adenocarcinomas, adenomatous polyps, and non-neoplastic colon tissue samples (referred to as "tri-part samples") in patients with CRC. Enriched taxa in adenocarcinoma tissues were identified through pairwise comparison. The abundance of candidate bacteria was quantified through genomic quantitative polymerase chain reaction (qPCR) in tissue samples from 116 patients. Associations of candidate bacteria with clinicopathological features and genomic and genetic alterations were evaluated through odds ratio tests. Additionally, the effects of candidate bacteria on CRC cell proliferation, migration, and invasion were evaluated through the co-culture of CRC cells with bacterial cells or with conditioned media from bacteria. RESULTS: Prevotella intermedia was overrepresented in adenocarcinomas compared with paired adenomatous polyps. Furthermore, co-abundance of P. intermedia and F. nucleatum was observed in tumor tissues. More notably, the coexistence of these two bacteria in adenocarcinomas was associated with lymph node involvement and distant metastasis. These two bacteria also exerted additive effects on the enhancement of the migration and invasion abilities of CRC cells. Finally, conditioned media from P. intermedia promoted the migration and invasion of CRC cells. CONCLUSION: This report is the first to demonstrate that P. intermedia is enriched in colorectal adenocarcinoma tissues and enhances the migration and invasion abilities of CRC cells. Moreover, P. intermedia and F. nucleatum exert additive effects on the malignant transformation of colorectal adenomas into carcinomas. These findings can be used to identify patients at a high risk of malignant transformation of colorectal adenomas or metastasis of CRC, and they can accordingly be provided optimal clinical management.

Real-world effectiveness of benralizumab: Results from the ZEPHYR 1 Study.

BACKGROUND: Real-world evidence characterizing the clinical outcomes and economic impact on patients with severe eosinophilic asthma treated with benralizumab is limited. OBJECTIVE: To characterize patients with severe asthma treated with benralizumab and assess its clinical and economic impact in the United States. METHODS: A pre-post benralizumab comparison was performed using a large US insurance claims database between November 2016 and November 2019. The primary cohort included patients with asthma aged 12 years or more with 2 or more records of benralizumab. Secondary cohorts included persistent users (6 or more records of benralizumab), patients switching to benralizumab from mepolizumab or omalizumab, and stratified by Medicaid vs non-Medicaid. Exacerbations, concomitant medications, and exacerbation-related health care resource utilization (HCRU) and costs were compared in the 12-month periods pre- and post-benralizumab initiation (index). RESULTS: Of the 204 patients in the primary cohort, mean age at index was 45.3 years and 68.6% were of female sex. The patients experienced a significant 55% reduction in rates of exacerbations post-benralizumab initiation (3.25 pre-index vs 1.47 post-index per person-year; P < .001), and 41% of the patients had no exacerbations post-benralizumab initiation. The proportion of oral corticosteroid-dependent patients decreased from 82% to 50% (P < .001). Reductions in HCRU were 42%, 46%, and 57% for asthma exacerbation-related inpatient hospitalizations, emergency department, and outpatient visits, respectively (all P < .001). Exacerbation-related costs decreased by $6439 ($13,559 vs $7120; P < .001). Similar results for all outcomes were observed for the persistent cohort, switch cohorts, and Medicaid vs non-Medicaid cohorts. CONCLUSION: Patients with severe asthma treated with benralizumab experienced clinical and economic benefits in the real world, as demonstrated by the reduction in exacerbations and HCRU.

Clinical and economic burden of chronic rhinosinusitis with nasal polyposis: A U.S. administrative claims analysis.

Background: Limited data exist on the clinical and economic burden of chronic rhinosinusitis with nasal polyposis (CRSwNP). Objective: To describe patient characteristics, health-care resource utilization (HCRU), and health-care costs among patients with CRSwNP with and without comorbid asthma (primary analysis) and with surgical management of nasal polyps (secondary analysis). Methods: This was a retrospective study of patients diagnosed with CRSwNP conducted using administrative claims data from January 1, 2013, through March 31, 2019. Study outcomes were assessed over a 2-year follow-up. Results were stratified by baseline asthma status (primary analysis) and presented separately for patients with surgically managed CRSwNP (secondary analysis). Results: The primary analysis included 10,999 patients with CRSwNP (2649 with asthma, 8350 without asthma). Patients with versus without asthma had higher medication use, HCRU, and all-cause medical costs (mean ± standard deviation $34,667 ± $42,234 versus $27,122 ± $45,573; p < 0.001) across the full follow-up period. CRSwNP-related medical costs were significantly higher for patients with versus without asthma in year 2 of follow-up. In the surgical management analysis (n = 4943), most categories of medication use and CRSwNP-related HCRU declined from baseline levels during follow-up, and CRSwNP-related pharmacy costs in year 2 were less than half of baseline levels. Conclusion: Patients diagnosed with CRSwNP and asthma had a greater burden of illness than those without asthma. Higher CRSwNP-related medical costs in year 2 of follow-up for patients with asthma may indicate worsening symptoms over time. Among patients with surgically managed CRSwNP, HCRU and costs increased in year 1 of follow-up but decreased below baseline levels in year 2, potentially reflecting improved symptom severity.