Title: Rising Number of U.S. Cardiac Arrests Tied to Opioid Abuse
Category: Health News
Created: 8/23/2021 12:00:00 AM
Last Editorial Review: 8/24/2021 12:00:00 AM

Title: Cases of Advanced Cervical Cancer Keep Rising Among U.S. Women
Category: Health News
Created: 8/19/2022 12:00:00 AM
Last Editorial Review: 8/22/2022 12:00:00 AM

Title: Wife of California Congressman Died After Using Herbal Remedy for Diabetes, Weight Loss
Category: Health News
Created: 8/25/2022 12:00:00 AM
Last Editorial Review: 8/25/2022 12:00:00 AM

Title: Ankylosing Spondylitis
Category: Diseases and Conditions
Created: 12/31/1997 12:00:00 AM
Last Editorial Review: 8/12/2022 12:00:00 AM

Title: 8 Reasons You Are Not Losing Weight on Keto
Category: Health and Living
Created: 8/26/2022 12:00:00 AM
Last Editorial Review: 8/26/2022 12:00:00 AM

Title: 7 Surprising Goat Milk Soap Benefits
Category: Health and Living
Created: 8/12/2022 12:00:00 AM
Last Editorial Review: 8/12/2022 12:00:00 AM

Title: U.S. HPV Vaccination Rates Rising, Even Among Boys
Category: Health News
Created: 6/22/2022 12:00:00 AM
Last Editorial Review: 6/23/2022 12:00:00 AM

Title: Bedsores Can Cause Serious Harm — Are U.S. Nursing Homes Hiding Cases?
Category: Health News
Created: 8/17/2022 12:00:00 AM
Last Editorial Review: 8/18/2022 12:00:00 AM

Title: Pot Users Are Less Prone to Sinus Problems
Category: Health News
Created: 8/1/2022 12:00:00 AM
Last Editorial Review: 8/2/2022 12:00:00 AM

Extract

We read with great interest the correspondence by T. Bitter and co-workers in the European Respiratory Review, about our recently published review entitled "Central sleep apnoea: not just one phenotype" [1]. We first want to express our gratefulness to the authors for their support and appreciation of our work, particularly regarding the urgent need for an increasingly differentiated view of central sleep apnoea (CSA) in the context of precision medicine.

Retrotransposable elements (RTEs) are common mobile genetic elements comprising ~42% of the human genome. RTEs play critical roles in gene regulation and function, but how they are specifically involved in complex diseases is largely unknown. Here, we investigate the cellular heterogeneity of RTEs using 12 single-cell transcriptome profiles covering three neurodegenerative diseases, Alzheimer's disease (AD), Parkinson's disease, and multiple sclerosis. We identify cell type marker RTEs in neurons, astrocytes, oligodendrocytes, and oligodendrocyte precursor cells that are related to these diseases. The differential expression analysis reveals the landscape of dysregulated RTE expression, especially L1s, in excitatory neurons of multiple neurodegenerative diseases. Machine learning algorithms for predicting cell disease stage using a combination of RTE and gene expression features suggests dynamic regulation of RTEs in AD. Furthermore, we construct a single-cell atlas of retrotransposable elements in neurodegenerative disease (scARE) using these data sets and features. scARE has six feature analysis modules to explore RTE dynamics in a user-defined condition. To our knowledge, scARE represents the first systematic investigation of RTE dynamics at the single-cell level within the context of neurodegenerative diseases.

Sequence variation observed in populations of pathogens can be used for important public health and evolutionary genomic analyses, especially outbreak analysis and transmission reconstruction. Identifying this variation is typically achieved by aligning sequence reads to a reference genome, but this approach is susceptible to reference biases and requires careful filtering of called genotypes. There is a need for tools that can process this growing volume of bacterial genome data, providing rapid results, but that remain simple so they can be used without highly trained bioinformaticians, expensive data analysis, and long-term storage and processing of large files. Here we describe split k-mer analysis (SKA2), a method that supports both reference-free and reference-based mapping to quickly and accurately genotype populations of bacteria using sequencing reads or genome assemblies. SKA2 is highly accurate for closely related samples, and in outbreak simulations, we show superior variant recall compared with reference-based methods, with no false positives. SKA2 can also accurately map variants to a reference and be used with recombination detection methods to rapidly reconstruct vertical evolutionary history. SKA2 is many times faster than comparable methods and can be used to add new genomes to an existing call set, allowing sequential use without the need to reanalyze entire collections. With an inherent absence of reference bias, high accuracy, and a robust implementation, SKA2 has the potential to become the tool of choice for genotyping bacteria. SKA2 is implemented in Rust and is freely available as open-source software.

The COVID-19 pandemic has highlighted the critical role of genomic surveillance for guiding policy and control. Timeliness is key, but sequence alignment and phylogeny slow most surveillance techniques. Millions of SARS-CoV-2 genomes have been assembled. Phylogenetic methods are ill equipped to handle this sheer scale. We introduce a pangenomic measure that examines the information diversity of a k-mer library drawn from a country's complete set of clinical, pooled, or wastewater sequence. Quantifying diversity is central to ecology. Hill numbers, or the effective number of species in a sample, provide a simple metric for comparing species diversity across environments. The more diverse the sample, the higher the Hill number. We adopt this ecological approach and consider each k-mer an individual and each genome a transect in the pangenome of the species. Structured in this way, Hill numbers summarize the temporal trajectory of pandemic variants, collapsing each day's assemblies into genome equivalents. For pooled or wastewater sequence, we instead compare days using survey sequence divorced from individual infections. Across data from the UK, USA, and South Africa, we trace the ascendance of new variants of concern as they emerge in local populations well before these variants are named and added to phylogenetic databases. Using data from San Diego wastewater, we monitor these same population changes from raw, unassembled sequence. This history of emerging variants senses all available data as it is sequenced, intimating variant sweeps to dominance or declines to extinction at the leading edge of the COVID-19 pandemic.

Single maintenance and reliever therapy (SMART) is an asthma treatment approach that utilizes combined inhaled corticosteroids and long-acting β-agonists for maintenance and quick relief therapy. Despite the evidence for its benefits in asthma treatment and its adoption into American and international asthma guidelines and recommendations, SMART remains a practice of some debate. This article reviews the available evidence for SMART and offers guidance for its integration into comprehensive asthma management. Overall, short-acting β-agonist-only asthma therapy regimens should be avoided, regardless of condition severity (SOR A Recommendation). Family medicine clinicians should start SMART for patients requiring either GINA Step 3 or 4 therapy, especially if they have signs of poor adherence (SOR B Recommendation). Finally, use budesonide-formoterol over other inhaled corticosteroid/long-acting β-agonist combinations when implementing SMART (SOR B Recommendation).

Background:

Discharge communication between hospitalists and primary care clinicians is essential to improve care coordination, minimize adverse events, and decrease unplanned health services use. Health-related social needs are key drivers of health, and hospitalists and primary care clinicians value communicating social needs at discharge.

Introduction:

High-quality primary care can reduce avoidable emergency department visits and emergency hospitalizations. The availability of electronic medical record (EMR) data and capacities for data storage and processing have created opportunities for predictive analytics. This systematic review examines studies which predict emergency department visits, hospitalizations, and mortality using EMR data from primary care.

BACKGROUND:Pulmonary function tests (PFTs) have historically used race-specific prediction equations. The recent American Thoracic Society guidelines recommend the use of a race-neutral approach in prediction equations. There are limited studies centering the opinions of practicing pulmonologists on the use of race in spirometry. Provider opinion will impact adoption of the new guideline. The aim of this study was to ascertain the beliefs of academic pulmonary and critical care providers regarding the use of race as a variable in spirometry prediction equations.METHODS:We report data from 151 open-ended responses from a voluntary, nationwide survey (distributed by the Association of Pulmonary Critical Care Medicine Program Directors) of academic pulmonary and critical care providers regarding the use of race in PFT prediction equations. Responses were coded using inductive and deductive methods, and a thematic content analysis was conducted.RESULTS:There was a balanced distribution of opinions among respondents supporting, opposing, or being unsure about the incorporation of race in spirometry prediction equations. Responses demonstrated a wide array of understanding related to the concept and definition of race and its relationship to physiology.CONCLUSIONS:There was no consensus among providers regarding the use of race in spirometry prediction equations. Concepts of race having biologic implications persist among pulmonary providers and will likely affect the uptake of the Global Lung Function Initiative per the American Thoracic Society guidelines.

Solid tumors that arise in the body interact with neurons, which influences cancer progression and treatment response. Here, we discuss key questions in the field, including defining the nature of interactions between tumors and neural circuits and defining how neural signals shape the tumor microenvironment. This information will allow us to optimally target neural signaling to improve outcomes for cancer patients.

SEquence Evaluation through k-mer Representation (SEEKR) is a method of sequence comparison that uses sequence substrings called k-mers to quantify the nonlinear similarity between nucleic acid species. We describe the development of new functions within SEEKR that enable end-users to estimate P-values that ascribe statistical significance to SEEKR-derived similarities, as well as visualize different aspects of k-mer similarity. We apply the new functions to identify chromatin-enriched lncRNAs that contain XIST-like sequence features, and we demonstrate the utility of applying SEEKR on lncRNA fragments to identify potential RNA-protein interaction domains. We also highlight ways in which SEEKR can be applied to augment studies of lncRNA conservation, and we outline the best practice of visualizing RNA-seq read density to evaluate support for lncRNA annotations before their in-depth study in cell types of interest.

Background

Halm's clinical stability criteria have long guided antibiotic treatment and hospital discharge decisions for patients hospitalised with community-acquired pneumonia (CAP). Originally introduced in 1998, these criteria were established based on a relatively small and select patient population. Consequently, our study aims to reassess their applicability in the management of CAP in a contemporary real-world setting.

Organic anion transporting polypeptide (OATP) 1B1 and OATP1B3 are important hepatic transporters. We previously identified OATP1B3 being critically implicated in the disposition of abiraterone. We aimed to further investigate the effects of abiraterone on the activities of OATP1B1 and OATP1B3 utilizing a validated endogenous biomarker coproporphyrin I (CP-I). We used OATP1B-transfected cells to characterize the inhibitory potential of abiraterone against OATP1B-mediated uptake of CP-I. Inhibition constant (K_i) was incorporated into our physiologically based pharmacokinetic (PBPK) modeling to simulate the systemic exposures of CP-I among cancer populations receiving either our model-informed 500 mg or clinically approved 1000 mg abiraterone acetate (AA) dosage. Simulated data were compared with clinical CP-I concentrations determined among our nine metastatic prostate cancer patients receiving 500 mg AA treatment. Abiraterone inhibited OATP1B3-mediated, but not OATP1B1-mediated, uptake of CP-I in vitro, with an estimated K_i of 3.93 μM. Baseline CP-I concentrations were simulated to be 0.81 ± 0.26 ng/ml and determined to be 0.72 ± 0.16 ng/ml among metastatic prostate cancer patients, both of which were higher than those observed for healthy subjects. PBPK simulations revealed an absence of OATP1B3-mediated interaction between abiraterone and CP-I. Our clinical observations confirmed that CP-I concentrations remained comparable to baseline levels up to 12 weeks post 500 mg AA treatment. Using CP-I as an endogenous biomarker, we identified the inhibition of abiraterone on OATP1B3 but not OATP1B1 in vitro, which was predicted and observed to be clinically insignificant. We concluded that the interaction risk between AA and substrates of OATP1Bs is low.

Exogenous substances, including drugs and chemicals, can transfer into human seminal fluid and influence male fertility and reproduction. In addition, substances relevant in the context of sports drug testing programs, can be transferred into the urine of a female athlete (after unprotected sexual intercourse) and trigger a so-called adverse analytical finding. Here, the question arises as to whether it is possible to distinguish analytically between intentional doping offenses and unintentional contamination of urine by seminal fluid. To this end, 480 seminal fluids from nonathletes were analyzed to identify concentration ranges and metabolite profiles of therapeutic drugs that are also classified as doping agents. Therefore, a screening procedure was developed using liquid chromatography connected to a triple quadrupole mass spectrometer, and suspect samples (i.e., samples indicating the presence of relevant compounds) were further subjected to liquid chromatography-high-resolution accurate mass (tandem) mass spectrometry. The screening method yielded 90 findings (including aromatase inhibitors, selective estrogen receptor modulators, diuretics, stimulants, glucocorticoids, beta-blockers, antidepressants, and the nonapproved proliferator-activated receptor delta agonist GW1516) in a total of 81 samples, with 91% of these suspected cases being verified by the confirmation method. In addition to the intact drug, phase-I and -II metabolites were also occasionally observed in the seminal fluid. This study demonstrated that various drugs including those categorized as doping agents partition into seminal fluid. Monitoring substances and metabolites may contribute to a better understanding of the distribution and metabolism of exogenous substances in seminal fluid that may be responsible for the impairment of male fertility.

Exercise significantly alters human physiological functions, such as increasing cardiac output and muscle blood flow and decreasing glomerular filtration rate (GFR) and liver blood flow, thereby altering the absorption, distribution, metabolism, and excretion of drugs. In this study, we aimed to establish a database of human physiological parameters during exercise and to construct equations for the relationship between changes in each physiological parameter and exercise intensity, including cardiac output, organ blood flow (e.g., muscle blood flow and kidney blood flow), oxygen uptake, plasma pH and GFR, etc. The polynomial equation P = a_iHRⁱ was used for illustrating the relationship between the physiological parameters (P) and heart rate (HR), which served as an index of exercise intensity. The pharmacokinetics of midazolam, quinidine, digoxin, and lidocaine during exercise were predicted by a whole-body physiologically based pharmacokinetic (WB-PBPK) model and the developed database of physiological parameters following administration to 100 virtual subjects. The WB-PBPK model simulation results showed that most of the observed plasma drug concentrations fell within the 5^th–95^th percentiles of the simulations, and the estimated peak concentrations (C_max) and area under the curve (AUC) of drugs were also within 0.5–2.0 folds of observations. Sensitivity analysis showed that exercise intensity, exercise duration, medication time, and alterations in physiological parameters significantly affected drug pharmacokinetics and the net effect depending on drug characteristics and exercise conditions. In conclusion, the pharmacokinetics of drugs during exercise could be quantitatively predicted using the developed WB-PBPK model and database of physiological parameters.

Organic anion transporting polypeptides (OATP, gene symbol SLCO) are well-recognized key determinants for the absorption, distribution, and excretion of a wide spectrum of endogenous and exogenous compounds including many antineoplastic agents. It was therefore proposed as a potential drug target for cancer therapy. In our previous study, it was found that low-dose X-ray and carbon ion irradiation both upregulated the expression of OATP family member OATP1A2 and in turn, led to a more dramatic killing effect when cancer cells were cotreated with antitumor drugs such as methotrexate. In the present study, the underlying mechanism of the phenomenon was explored in breast cancer cell line MCF-7. It was found that the nonreceptor tyrosine kinase v-YES-1 Yamaguchi sarcoma viral oncogene homolog 1 (YES-1) was temporally coordinated with the change of OATP1A2 after irradiation. The overexpression of YES-1 significantly increased OATP1A2 both at the mRNA and protein level. The signal transducer and activator of transcription 3 (STAT3) pathway is likely the downstream target of YES-1 because phosphorylation and nuclear accumulation of STAT3 were both enhanced after overexpressing YES-1 in MCF-7 cells. Further investigation revealed that there are two possible binding sites of STAT3 localized at the upstream sequence of SLCO1A2, the encoding gene of OATP1A2. Electrophoretic mobility shift assay and chromatin immunoprecipitation analysis suggested that these two sites bound to STAT3 specifically and the overexpression of YES-1 significantly increased the association of the transcription factor with the putative binding sites. Finally, inhibition or knockdown of YES-1 attenuated the induction effect of radiation on the expression of OATP1A2.

Early detection of drug-drug interactions (DDIs) can facilitate timely drug development decisions, prevent unnecessary restrictions on patient enrollment, resulting in clinical study populations that are not representative of the indicated study population, and allow for appropriate dose adjustments to ensure safety in clinical trials. All of these factors contribute to a streamlined drug approval process and enhanced patient safety. Here we describe a new approach for early prediction of the magnitude of change in exposure for cytochrome P450 (P450) CYP3A4-related DDIs of small-molecule anticancer drugs based on the model-based extrapolation of human-CYP3A4-transgenic mice pharmacokinetics to humans. Victim drugs brigatinib and lorlatinib were evaluated with the new approach in combination with the perpetrator drugs itraconazole and rifampicin. Predictions of the magnitude of change in exposure deviated at most 0.99- to 1.31-fold from clinical trial results for inhibition with itraconazole, whereas exposure predictions for the induction with rifampicin were less accurate, with deviations of 0.22- to 0.48-fold. Results for the early prediction of DDIs and their clinical impact appear promising for CYP3A4 inhibition, but validation with more victim and perpetrator drugs is essential to evaluate the performance of the new method.

The regulation of drug-metabolizing enzymes and transporters by cytokines has been extensively studied in vitro and in clinic. Cytokine-mediated suppression of cytochrome P450 (CYP) or drug transporters may increase or decrease the systemic clearance of drug substrates that are primarily cleared via these pathways; neutralization of cytokines by therapeutic proteins may thereby alter systemic exposures of such drug substrates. The Food and Drug Administration recommends evaluating such clinical drug interactions during clinical development and has provided labeling recommendations for therapeutic proteins. To determine the clinical relevance of these drug interactions to dose adjustments, trends in steady-state exposures of CYP-sensitive substrates coadministered with cytokine modulators as reported in the University of Washington Drug Interaction Database were extracted and examined for each of the CYPs. Coadministration of cytochrome P450 family 3 subfamily A (CYP3A) (midazolam/simvastatin), cytochrome P450 subfamily 2C19 (omeprazole), or cytochrome P450 subfamily 1A2 (caffeine/tizanidine) substrates with anti-interleukin-6 and with anti-interleukin-23 therapeutics led to changes in systemic exposures of CYP substrates ranging from ~ –58% to ~35%; no significant trends were observed for cytochrome P450 subfamily 2D6 (dextromethorphan) and cytochrome P450 subfamily 2C9 (warfarin) substrates. Although none of these changes in systemic exposures have been reported as clinically meaningful, dose adjustment of midazolam for optimal sedation in acute care settings has been reported. Simulated concentration-time profiles of midazolam under conditions of elevated cytokine levels when coadministered with tocilizumab, suggest a ~six- to sevenfold increase in midazolam clearance, suggesting potential implications of cytokine–CYP drug interactions on dose adjustments of sensitive CYP3A substrates in acute care settings. Additionally, this article also provides a brief overview of nonclinical and clinical assessments of cytokine–CYP drug interactions in drug discovery and development.

Drug–drug interaction (DDI) assessment of therapeutic peptides is an evolving area. The industry generally follows DDI guidelines for small molecules, but the translation of data generated with commonly used in vitro systems to in vivo is sparse. In the current study, we investigated the ability of advanced human hepatocyte in vitro systems, namely HepatoPac, spheroids, and Liver-on-a-chip, to assess potential changes in regulation of CYP1A2, CYP2B6, CYP3A4, SLCO1B1, and ABCC2 in the presence of selected therapeutic peptides, proteins, and small molecules. The peptide NN1177, a glucagon and GLP-1 receptor co-agonist, did not suppress mRNA expression or activity of CYP1A2, CYP2B6, and CYP3A4 in HepatoPac, spheroids, or Liver-on-a-chip; these findings were in contrast to the data obtained in sandwich cultured hepatocytes. No effect of NN1177 on SLCO1B1 and ABCC2 mRNA was observed in any of the complex systems. The induction magnitude differed across the systems (e.g., rifampicin induction of CYP3A4 mRNA ranged from 2.8-fold in spheroids to 81.2-fold in Liver-on-a-chip). Small molecules, obeticholic acid and abemaciclib, showed varying responses in HepatoPac, spheroids, and Liver-on-a-chip, indicating a need for EC₅₀ determinations to fully assess translatability data. HepatoPac, the most extensively investigated in this study (3 donors), showed high potential to investigate DDIs associated with CYP regulation by therapeutic peptides. Spheroids and Liver-on-a-chip were only assessed in one hepatocyte donor and further evaluations are required to confirm their potential. This study establishes an excellent foundation toward the establishment of more clinically-relevant in vitro tools for evaluation of potential DDIs with therapeutic peptides.

ABSTRACTIntroduction:Since the health information system (HIS) in public health care services in Serbia was introduced in 2009, it has gradually expanded. However, it is unclear how well the HIS components have developed and the whole system’s stage of maturity.Method:In June–September 2021, a maturity assessment of the Serbian HIS was conducted for the first time using the HIS Stages of Continuous Improvement (SOCI) toolkit. The toolkit measures HIS status across 5 HIS domains: leadership and governance, management and workforce, information and communication technology (ICT), standards and interoperability, and data quality and use. The domains were further divided into 13 components and 39 subcomponents whose maturity stage was assessed on a 5-point Likert scale, indicating the level of development: (1) emerging/ad hoc; (2) repeatable; (3) defined; (4) managed; and (5) optimized. The toolkit was applied in a working group of 32 professionals and experts who were engaged in developing the new national eHealth strategy and action plan.Results:The overall maturity score of the Serbian HIS was 1.6, which indicates a low level. The highest baseline score (2) was given to the standards and interoperability domain, and the lowest (1.1) was given to ICT infrastructure. The remaining 3 domains (leadership and governance, Management and Workforce, and Data Quality and Use) were similarly rated (1.7, 1.7, and 1.6, respectively).Conclusion:A baseline assessment of the maturity level of Serbian HIS indicates that the majority of components are between the emerging/ad hoc stage and repeatable, which represent isolated, ad hoc efforts, with some basic processes in place and existing and accessible policies. This exercise provided an opportunity to address identified weaknesses in the upcoming national eHealth strategy.

ABSTRACTIntroduction: Nigeria has the highest number of children who have not received any vaccines in Africa. The training-of-trainers (TOT) model used to train program managers (PMs) and health care workers (HCWs) is ineffective for adult learning and limits immunization programs’ success. We incorporated adult learning principles (ALPs) in designing and delivering TOT for immunization PMs and HCWs to use data to engage communities for tailored immunization strategies.Methods: Our study was implemented in 3 local government areas (LGAs) of the Federal Capital Territory, Nigeria. A training curriculum was developed, integrating ALPs and technical and operational content based on best practices in delivering immunization training and the training needs assessment findings. State PMs (n=10), LGA PMs (n=30), and HCWs (n=42) were trained on the human-centered design for tailoring immunization programs (HCD-TIP) approaches using ALPs. We used interviews and surveys with purposively and conveniently sampled PMs and HCWs, respectively, and observations to assess participants’ satisfaction, knowledge and competence, behavior changes, and results. The interviews were analyzed thematically, and surveys were statistically.Results: There was a high level of satisfaction with the training among LGA PMs (100%), state PMs (91%), and HCWs (85%), with significant knowledge and competence improvements post-training (P<.001). The trained participants conducted 2 HCD sessions with 24 undervaccinated communities and co-designed 24 prototype solutions for testing. Results showed increased coverage of the pentavalent vaccine first dose (54%) and third dose (188%) across 12 participating communities. Improved community colaboration, communication skills, and data-driven approaches were the most cited behavior changes in practice.Conclusion: The application of ALPs in training, use of HCD-TIP approaches and tools, and supportive supervision enhanced PMs’ and HCWs’ capacity for tailored interventions. Countries should consider adopting a holistic approach that focuses on using these approaches in immunization programs to strengthen the health system for equitable vaccine coverage.

Mitochondrial dysfunction is a hallmark of many genetic neurodegenerative diseases, but therapeutic options to reverse mitochondrial dysfunction are limited. While recent studies support the possibility of improving mitochondrial fusion/fission dynamics and motility to correct mitochondrial dysfunction and resulting neurodegeneration in Charcot-Marie-Tooth disease (CMT) and other neuropathies, the clinical utility of reported compounds and relevance of preclinical models are uncertain. Here, we describe motor and sensory neuron dysfunction characteristic of clinical CMT type 2 A in a CRISPR/Casp-engineered Mfn2 Thr105Met (T105M) mutant knock-in mouse. We further demonstrate that daily oral treatment with a novel mitofusin activator derived from the natural product piperine can reverse these neurologic phenotypes. Piperine derivative 8015 promoted mitochondrial fusion and motility in Mfn2-deficient cells in a mitofusin-dependent manner and reversed mitochondrial dysfunction in cultured fibroblasts and reprogrammed motor neurons from a human CMT2A patient carrying the MFN2 T105M mutation. Like previous mitofusin activators, 8015 exhibited stereospecific functionality, but the more active stereoisomer, 8015-P2, is unique in that it has subnanomolar potency and undergoes entero-hepatic recirculation which extends its in vivo half-life. Daily administration of 8015-P2 to Mfn2 T105M knock-in mice for 6 weeks normalized neuromuscular and sensory dysfunction and corrected histological/ultrastructural neurodegeneration and neurogenic myoatrophy. These studies describe a more clinically relevant mouse model of CMT2A and an improved mitofusin activator derived from piperine. We posit that 8015-P2 and other piperine derivatives may benefit CMT2A or other neurodegenerative conditions wherein mitochondrial dysdynamism plays a contributory role.

The aim of this study was to validate a previously developed deep learning model in 5 independent clinical trials. The predictive performance of this model was compared with the international prognostic index (IPI) and 2 models incorporating radiomic PET/CT features (clinical PET and PET models). Methods: In total, 1,132 diffuse large B-cell lymphoma patients were included: 296 for training and 836 for external validation. The primary outcome was 2-y time to progression. The deep learning model was trained on maximum-intensity projections from PET/CT scans. The clinical PET model included metabolic tumor volume, maximum distance from the bulkiest lesion to another lesion, SUV_peak, age, and performance status. The PET model included metabolic tumor volume, maximum distance from the bulkiest lesion to another lesion, and SUV_peak. Model performance was assessed using the area under the curve (AUC) and Kaplan–Meier curves. Results: The IPI yielded an AUC of 0.60 on all external data. The deep learning model yielded a significantly higher AUC of 0.66 (P < 0.01). For each individual clinical trial, the model was consistently better than IPI. Radiomic model AUCs remained higher for all clinical trials. The deep learning and clinical PET models showed equivalent performance (AUC, 0.69; P > 0.05). The PET model yielded the highest AUC of all models (AUC, 0.71; P < 0.05). Conclusion: The deep learning model predicted outcome in all trials with a higher performance than IPI and better survival curve separation. This model can predict treatment outcome in diffuse large B-cell lymphoma without tumor delineation but at the cost of a lower prognostic performance than with radiomics.

Simplified methods of acquisition and quantification would facilitate the use of synaptic density imaging in multicenter and longitudinal studies of Alzheimer disease (AD). We validated a simplified tissue-to-reference ratio method using SUV ratios (SUVRs) for estimating synaptic density with [¹¹C]UCB-J PET. Methods: Participants included 31 older adults with AD and 16 with normal cognition. The distribution volume ratio (DVR) using simplified reference tissue model 2 was compared with SUVR at short scan windows using a whole-cerebellum reference region. Results: Synaptic density was reduced in AD participants using DVR or SUVR. SUVR using later scan windows (60–90 or 70–90 min) was minimally biased, with the strongest correlation with DVR. Effect sizes using SUVR at these late time windows were minimally reduced compared with effect sizes with DVR. Conclusion: A simplified tissue-to-reference method may be useful for multicenter and longitudinal studies seeking to measure synaptic density in AD.

Chronic hypertension leads to injury and fibrosis in major organs. Fibroblast activation protein (FAP) is one of key molecules in tissue fibrosis, and ⁶⁸Ga-labeled FAP inhibitor-46 (FAPI46) PET is a recently developed method for evaluating FAP. The aim of this study was to evaluate FAP expression and fibrosis in a hypertension model and to test the feasibility of ⁶⁸Ga-FAPI46 PET in hypertension. Methods: Hypertension was induced in mice by angiotensin II infusion for 4 wk. ⁶⁸Ga-FAPI46 biodistribution studies and PET scanning were conducted at 1, 2, and 4 wk after hypertension modeling, and uptake in the major organs was measured. The FAP expression and fibrosis formation of the heart and kidney tissues were analyzed and compared with ⁶⁸Ga-FAPI46 uptake. Subgroups of the hypertension model underwent angiotensin receptor blocker administration and high-dose FAPI46 blocking, for comparison. As a preliminary human study, ⁶⁸Ga-FAPI46 PET images of lung cancer patients were analyzed and compared between hypertension and control groups. Results: Uptake of ⁶⁸Ga-FAPI46 in the heart and kidneys was significantly higher in the hypertension group than in the sham group as early as week 1 and decreased after week 2. The uptake was specifically blocked in the high-dose blocking study. Immunohistochemistry also revealed FAP expression in both heart and kidney tissues. However, overt fibrosis was observed in the heart, whereas it was absent from the kidneys. The angiotensin receptor blocker–treated group showed lower uptake in the heart and kidneys than did the hypertension group. In the pilot human study, renal uptake of ⁶⁸Ga-FAPI46 significantly differed between the hypertension and control groups. Conclusion: In hypertension, FAP expression is increased in the heart and kidneys from the early phases and decreases over time. FAP expression appears to represent fibrosis activity preceding or underlying fibrotic tissue formation. ⁶⁸Ga-FAPI46 PET has potential as an effective imaging method for evaluating FAP expression in progressive fibrosis by hypertension.

In Canada and across the globe, access to PSMA PET/CT is limited and expensive. For patients with biochemical recurrence (BCR) after treatment for prostate cancer, novel strategies are needed to better stratify patients who may or may not benefit from a PSMA PET scan. The role of the free-to-total prostate-specific antigen (PSA) ratio (FPSAR) in posttreatment prostate cancer, specifically in the PSMA PET/CT era, remains unknown. Our aim in this study was to determine the association of FPSAR in patients referred for ¹⁸F-DCFPyL PSMA PET/CT in the BCR setting and assess the correlation between FPSAR and ¹⁸F-DCFPyL PSMA PET/CT positivity (local recurrence or distant metastases). Methods: This prospective study included 137 patients who were referred for ¹⁸F-DCFPyL PSMA PET/CT and had BCR with a total PSA of less than 1 ng/mL after radical prostatectomy (RP) (including adjuvant or salvage radiotherapy). Blood samples were collected on the day of ¹⁸F-DCFPyL PSMA PET/CT. FPSAR was categorized as less than 0.10 or as 0.10 or more. A positive ¹⁸F-DCFPyL PSMA PET/CT scan was defined by a PROMISE classification lesion score of 2 or 3, irrespective of the site of increased tracer uptake (e.g., prostate, pelvic nodes, bone, or viscera). Results: Overall, 137 blood samples of patients with BCR after RP were analyzed to calculate FPSAR. The median age at ¹⁸F-DCFPyL PSMA PET/CT was 68.6 y (interquartile range, 63.0–72.4 y), and the median PSA at ¹⁸F-DCFPyL PSMA PET/CT was 0.3 ng/mL (interquartile range, 0.3–0.6 ng/mL). Eighty-six patients (62.8%) had an FPSAR of less than 0.10, whereas 51 patients (37.2%) had an FPSAR of 0.10 or more. An FPSAR of 0.10 or more was identified as an independent predictor of a positive ¹⁸F-DCFPyL PSMA PET/CT scan, with an odds ratio of 6.99 (95% CI, 2.96–16.51; P < 0.001). Conclusion: An FPSAR of 0.10 or more after RP independently correlated with increased odds of a positive ¹⁸F-DCFPyL PSMA PET/CT scan among BCR post-RP patients. These findings may offer an inexpensive method by which to triage access to ¹⁸F-DCFPyL PSMA PET/CT in jurisdictions where availability is not replete.

BACKGROUND AND PURPOSE:

Preoperative assessment of meningioma consistency is beneficial for optimizing surgical strategy and prognosis of patients. We aim to develop a noninvasive prediction model for meningioma consistency utilizing MR elastography and DTI.

The potential for more than one distinct hematolymphoid neoplasm to arise from a common mutated stem or precursor cell has been proposed based on findings in primary human malignancies. Particularly, angioimmunoblastic T-cell lymphoma (AITL), which shares a somatic mutation profile in common with other hematopoietic malignancies, has been reported to occur alongside myeloid neoplasms or clonal B-cell proliferations, with identical mutations occurring in more than one cell lineage. Here we report such a case of an elderly woman who was diagnosed over a period of 8 years with diffuse large B-cell lymphoma, polycythemia vera, and AITL, each harboring identical somatic mutations in multiple genes. Overall, at least five identical nucleotide mutations were shared across multiple specimens, with two identical mutations co-occurring at variable variant allele frequencies in all three specimen types. These findings lend credence to the theory that a common mutated stem cell could give rise to multiple neoplasms through parallel hematopoietic differentiation pathways.

Although the progressive histologic steps leading to endometrial cancer (EndoCA), the most common female reproductive tract malignancy, from endometrial hyperplasia are well-established, the molecular changes accompanying this malignant transformation in a single patient have never been described. We had the unique opportunity to investigate the paired histologic and molecular features associated with the 12-yr development of EndoCA in a postmenopausal female who could not undergo hysterectomy and instead underwent progesterone treatment. Using a specially designed 58-gene next-generation sequencing panel, we analyzed a total of 10 sequential biopsy samples collected over this time frame. A total of eight pathogenic/likely pathogenic mutations in seven genes, APC, ARID1A, CTNNB1, CDKN2A, KRAS, PTEN, and TP53, were identified. A PTEN nonsense mutation p.W111* was present in all samples analyzed except histologically normal endometrium. Apart from this PTEN mutation, the only other recurrent mutation was KRAS G12D, which was present in six biopsy samplings, including histologically normal tissue obtained at the patient's first visit but not detectable in the cancer. The PTEN p.W111* mutant allele fractions were lowest in benign, inactive endometrial glands (0.7%), highest in adenocarcinoma (36.9%), and, notably, were always markedly reduced following progesterone treatment. To our knowledge, this report provides the first molecular characterization of EndoCA development in a single patient. A single PTEN mutation was present throughout the 12 years of cancer development. Importantly, and with potential significance toward medical and nonsurgical management of EndoCA, progesterone treatments were consistently noted to markedly decrease PTEN mutant allele fractions to precancerous levels.

Here, we highlight the case of a 31-yr-old man who had clinical features of primary hypertrophic osteoarthropathy (PHOAR) and harbored a homozygous variant (c.38C > A, p.Ala13Glu) in the HPGD gene, as indicated by whole-exome sequencing (WES). This variant has been previously classified by our laboratory as a variant of uncertain significance (VUS). However, another patient with the same phenotype and the same homozygous variant in HPGD was subsequently reported. In reassessing the variant, the absence of this variant in the gnomAD population database, supporting computational predictions, observation in homozygosity in two probands, and specificity of the phenotype for HPGD, all provide sufficient evidence to reclassify the HPGD c.38C > A, p.Ala13Glu variant as likely pathogenic.

Affibody molecules are small (6-kDa) affinity proteins generated by directed evolution for specific binding to various target molecules. The first step in this workflow involves the generation of an affibody library, which can then be used for biopanning using multiple display methods. This protocol describes selection from affibody libraries using display on Staphylococcus carnosus. Display of affibodies on staphylococci is very efficient and straightforward because of the single cell membrane and the use of a construct with a constitutive promoter. The workflow involves display of affibody libraries on the surface of S. carnosus cells, followed by screening and selection of binders using fluorescence-activated cell sorting (FACS). The transformation of DNA libraries into S. carnosus is less efficient and more complicated than for Escherichia coli. Because of this, staphylococcal display is suitable for affinity maturation or other protein-engineering efforts that are not dependent on very high diversity, and thus magnetic-activated cell sorting (MACS) is often not required before FACS. However, MACS is an option, and MACS procedures used for E. coli can easily be adapted for use in S. carnosus if needed.

Affibody molecules are small (6-kDa) affinity proteins generated by directed evolution for specific binding to various target molecules. The first step in this workflow involves the generation of an affibody library, which can then be used for selection via multiple display methods. This protocol describes selection from affibody libraries by Escherichia coli cell surface display. With this method, high-diversity libraries of 10¹¹ can be displayed on the cell surface. The method involves two steps for selection of binders from high-diversity libraries: magnetic-activated cell sorting (MACS) and fluorescence-activated cell sorting (FACS). MACS is used first to enrich the library in target-binding clones and to decrease diversity to a size that can be effectively screened and sorted in the flow cytometer in a reasonable time (typically <10⁷ cells). The protocol is based on methodology using an AIDA-I autotransporter for display on the outer membrane, but the general procedures can also be adjusted and used for other types of autotransporters or alternative E. coli display methods.

Affibody molecules are small (6-kDa) affinity proteins generated by directed evolution for specific binding to various target molecules. The first step in this workflow involves the generation of an affibody library. This is then followed by amplification of the library, which can then be used for biopanning using multiple methods. This protocol describes amplification of affibody libraries, followed by biopanning using phage display and analysis of the selection output. The general procedure is mainly for selection of first-generation affibody molecules from large naive (unbiased) libraries, typically yielding affibody hits with affinities in the low nanomolar range. For selection from affinity maturation libraries with the aim of isolating variants of even higher affinities, the procedure is similar, but parameters such as target concentration and washing are adjusted to achieve the proper stringency.

Sleep is a fundamental feature of life for virtually all multicellular animals, but many questions remain about how sleep is regulated and what biological functions it plays. Substantial headway has been made in the study of both circadian rhythms and sleep in the fruit fly Drosophila melanogaster, much of it through studies of individual fly activity using beam break counts from Drosophila activity monitors (DAMs). The number of laboratories worldwide studying sleep in Drosophila has grown from only a few 20 years ago to hundreds today. The utility of these studies is limited by the quality of the metrics that can be extracted from the data. Many software options exist to help analyze DAM data; however, these are often expensive or have significant limitations. Therefore, we describe here a method for analyzing DAM-based data using the sleep and circadian analysis MATLAB program (SCAMP). This user-friendly software has an advantage of combining several analyses of both sleep and circadian rhythms in one package and produces graphical outputs as well as spreadsheets of the outputs for further statistical analysis. The version of SCAMP described here is also the first published software package that can analyze data from multibeam DAM5Ms, enabling determination of positional preference over time.

The positional preference of an animal can be very informative regarding the choices it makes about how to interact with its environment. The fruit fly Drosophila melanogaster has been used as a robust system for examining neurobiological mechanisms underlying behavior. Fruit fly positional preference can be gathered from TriKinetics Drosophila activity monitors (DAMs), which contain four infrared beams, allowing for tracking the position of individual flies along the length of a tube. Here, we describe a method for using DAM5Ms to examine food preference. Specifically, we show an example in which circadian changes in food preference are compared between different Drosophila species. More information about the evolution of behavior can be gathered by measuring feeding preference relative to time of day. Noni, fruit from Morinda citrifolia, contains octanoic acid, a chemical toxic to many species of Drosophila. D. melanogaster and D. simulans, both food generalists, show high sensitivity to octanoic acid, whereas D. sechellia, a specialist, can tolerate high concentrations. When two different food substrates are provided at each end of a tube, food preference can be inferred at various times of the day, using the sleep and circadian analysis MATLAB program (SCAMP) to extract and analyze positional data from DAM5Ms. Data gathered from these analyses can be used to compare avoidance or attraction to nutrients, tastants, or odors between species and genotypes or after specific different treatments. Additionally, such data can be examined as a function of time of day.

BackgroundCOVID-19 pandemic restrictions may have influenced behaviours related to weight.AimTo describe patterns of weight change among adults living in England with type 2 diabetes (T2D) and/or hypertension during the pandemic.Design and settingAn observational cohort study using the routinely collected health data of approximately 40% of adults living in England, accessed through the OpenSAFELY service inside TPP.MethodClinical and sociodemographic characteristics associated with rapid weight gain (>0.5 kg/m2/year) were investigated using multivariable logistic regression.ResultsData were extracted on adults with T2D (n = 1 231 455, 43.9% female, and 76.0% White British) or hypertension (n = 3 558 405, 49.7% female, and 84.3% White British). Adults with T2D lost weight overall (median δ = −0.1 kg/m2/year [interquartile range {IQR} −0.7–0.4]). However, rapid weight gain was common (20.7%) and associated with the following: sex (male versus female: adjusted odds ratio [aOR] 0.78 [95% confidence interval {CI} = 0.77 to 0.79]); age (older age reduced odds, for example, aged 60–69 years versus 18–29 years: aOR 0.66 [95% CI = 0.61 to 0.71]); deprivation (least deprived Index of Multiple Deprivation [IMD] quintile versus most deprived IMD quintile: aOR 0.87 [95% CI = 0.85 to 0.89]); White ethnicity (Black versus White: aOR 0.95 [95% CI = 0.92 to 0.98]); mental health conditions (for example, depression: aOR 1.13 [95% CI = 1.12 to 1.15]); and diabetes treatment (non-insulin treatment versus no pharmacological treatment: aOR 0.68 [95% CI = 0.67 to 0.69]). Adults with hypertension maintained stable weight overall (median δ = 0.0 kg/m2/year [IQR −0.6–0.5]); however, rapid weight gain was common (24.7%) and associated with similar characteristics as in T2D.ConclusionAmong adults living in England with T2D and/or hypertension, rapid pandemic weight gain was more common among females, younger adults, those living in more deprived areas, and those with mental health conditions.

The broad application of noninvasive imaging has transformed preclinical cancer research, providing a powerful means to measure dynamic processes in living animals. While imaging technologies are routinely used to monitor tumor growth in model systems, their greatest potential lies in their ability to answer fundamental biological questions. Here we present the broad range of potential imaging applications according to the needs of a cancer biologist with a focus on some of the common biological processes that can be used to visualize and measure. Topics include imaging metastasis; biophysical properties such as perfusion, diffusion, oxygenation, and stiffness; imaging the immune system and tumor microenvironment; and imaging tumor metabolism. We also discuss the general ability of each approach and the level of training needed to both acquire and analyze images. The overall goal is to provide a practical guide for cancer biologists interested in answering biological questions with preclinical imaging technologies.

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JUDY WOODRUFF: And in the day’s other news: More than 300 people are now confirmed dead after Saturday’s massive truck bombing in Somalia, one of the world’s worst attacks in years.

Nearly 400 more were wounded. The government blamed the al-Qaida-linked Al-Shabaab group. Rescue crews today searched for survivors at the scene of the bombing, a crowded street in the capital, Mogadishu. With dozens still missing, officials say they expect the death toll to rise.

OSMAN LIBAH IBRAHIM, Deputy Minister for Natural Resources, Somalia (through interpreter): More bodies are gradually being found and removed from the rubble. There are other people who are under the rubble. We have heard them as they scream for help. My biggest worry is that even the wounded are succumbing to their injuries.

JUDY WOODRUFF: The attack happened two days after Somalia’s defense minister and army chief resigned for undisclosed reasons.

There’s been yet another shift to the right in European politics; 31-year-old conservative Sebastian Kurz, Austria’s foreign minister, is set to become that country’s next leader. But he’s short of a majority in Parliament and will likely form a coalition with the far-right Freedom Party. It was founded by ex-Nazis in the 1950s.

Kurz has called for the European Union to focus more on internal trade and securing borders. He celebrated in Vienna.

SEBASTIAN KURZ, Austrian People’s Party (through interpreter): I have a big request for you. Use today to celebrate. You all have earned it through hard work and dedication. At the same time, I need to tell you that tomorrow the work starts. We didn’t just run to win the elections. We did so to bring Austria back to the top. We ran in this election to achieve real change.

JUDY WOODRUFF: A final result in the election is likely to be decided on Thursday.

Wildfires that broke out over the weekend in Portugal have killed at least 35 people, including a one-month-old infant. Today, more than 5,300 firefighters with some 1,600 vehicles were battling the fires, some of which officials say were started by arsonists. Wildfires have also left at least four people dead in neighboring Spain.

Army Sergeant Bowe Bergdahl pleaded guilty today to desertion and misbehavior before the enemy. He was captured by the Taliban in 2009, after leaving his post in Afghanistan. It prompted an intense search and a prisoner swap. Bergdahl appeared before a military judge in Fort Bragg, North Carolina, today. The 31-year-old could be sentenced to life in prison. He said his actions were very inexcusable, adding he didn’t — quote — “think there’d be any reason to pull off a crucial mission to look for one guy.”

The truck driver in deadly immigrant smuggling run has pleaded guilty in court. San Antonio police found at least 39 immigrants, 10 of whom died, packed into a sweltering semi-trailer last year and died. The driver, James Matthew Bradley Jr., pleaded to conspiracy and transporting immigrants, resulting in death. He faces now up to life in prison.

A New Jersey man has been convicted of planting two pressure-cooker bombs on New York City streets last year. Ahmed Khan Rahimi faces a maximum sentence of life in prison for charges including using a weapon of mass destruction. One of the bombs exploded in Manhattan’s Chelsea neighborhood, wounding 30. The second didn’t detonate. Officials said Rahimi was inspired by ISIS and al-Qaida.

JOHN MILLER, Deputy Commissioner, NYPD Intelligence & Counterterrorism: Ahmed Khan Rahimi learned a lesson which we keep reminding people of. This is the wrong place to try and carry out an act of terrorism. Witnesses will come forward, evidence will be developed, arrests will be made, prosecutions will be brought forth, and they will be successful.

JUDY WOODRUFF: Prosecutors said Rahimi also planted a pipe bomb in Seaside Heights, New Jersey, but no one was injured.

Colin Kaepernick has filed a grievance against the national football league. The former San Francisco 49ers quarterback says that he remains unsigned due to collusion by team owners over his national anthem protests. Kaepernick sparked a debate when he kneeled during the anthem last year, protesting police mistreatment of African-Americans.

On Wall Street today, the Dow Jones industrial average gained 85 points to close at 22957. The Nasdaq rose 18. And the S&P 500 added four.

It was a milestone day in the world of astronomy. For the first time, researchers say they have detected gravitational waves with a flash of light from the same cosmic event. The dual observation supports Albert Einstein’s general theory of relativity. The ripples in space and the light burst were caused by the collision of two neutron stars. They were first detected in August.

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HARI SREENIVASAN: President Xi Jinping opened China’s twice-per-decade Communist Party Congress today with a lengthy list of his achievements during his first five-year term, and his vision of where he hopes to take his nation.

But beyond the words, Xi is asserting power like no Chinese leader in decades.

William Brangham reports.

WILLIAM BRANGHAM: The applause, the music, it was a reception befitting the commanding role that Xi Jinping has taken since being named party leader five years ago.

He opened today’s proceedings by hailing reforms he’s put in place, and proclaiming a — quote — “new era for China.”

PRESIDENT XI JINPING, China (through interpreter): The Chinese nation has realized a great leap, from declining in modern history to twisting its fate fundamentally and continuously moving to prosperity.

WILLIAM BRANGHAM: Over 3.5 hours, Xi laid out his vision to shape the nation of 1.4 billion people into what he called a — quote — “great modern socialist country” over the next three decades.

PRESIDENT XI JINPING (through interpreter): Achieving the great rejuvenation of the Chinese nation will be no walk in the park, and it will take more than drumbeating and gong-clanging to get there. The whole party must be prepared to make more arduous, strenuous efforts.

WILLIAM BRANGHAM: Susan Shirk is chair of the 21st Century China Center at the University of California, San Diego.

SUSAN SHIRK, University of California, San Diego: Xi Jinping has a vision of China’s role in the world that is much more ambitious than anything we have seen before, talking about China kind of moving toward the center of the world and having a lot more influence than it did before.

WILLIAM BRANGHAM: In his address, Xi largely ignored the question of political reforms in China, and he didn’t mention President Trump or North Korea’s nuclear weapons program.

But in a rare move, he did acknowledge that with global demand weakening, there were challenges facing China’s export-driven economy.

PRESIDENT XI JINPING (through interpreter):  While China’s overall productive forces have significantly improved and in many areas our production capacity leads the world, the more prominent problem is that our development is unbalanced and inadequate.

WILLIAM BRANGHAM: Xi was one of the first foreign leaders to meet with President Trump.

PRESIDENT DONALD TRUMP: The relationship developed by President Xi and myself, I think, is outstanding.

WILLIAM BRANGHAM: That was decidedly warmer than Mr. Trump’s past criticism of China and its economic and trade policies.

But other U.S. officials are more critical of Beijing’s actions.

REX TILLERSON, Secretary of State: China, while rising alongside India, has done so less responsibly.

WILLIAM BRANGHAM: Secretary of State Rex Tillerson today criticized China’s aggressive displays of economic and military power, particularly its expansion on man-made islands in the South China Sea.

REX TILLERSON: We will not shrink from China’s challenges to the rules-based order, and where China subverts the sovereignty of neighboring countries and disadvantages the U.S. and our friends.

SUSAN SHIRK: I think there are things to worry about in Chinese foreign policy that are mostly related to these maritime sovereignty issues and to a kind of bullying in Asia, but the global ambition could turn out to be positive.

WILLIAM BRANGHAM: Susan Shirk says China has filled a vacuum left by the United States’ withdrawal from global agreements like the Trans-Pacific Partnership and the Paris climate accords.

Perhaps the most important thing to watch for in the next few days is who Xi establishes as his likely successor.

SUSAN SHIRK: That is why there is a lot of speculation now that he may be trying, much like Putin, to stay on beyond his normal term or to rule behind the scenes even after he retires.

WILLIAM BRANGHAM: President Trump will be traveling to Beijing to meet Xi next month.

For the PBS NewsHour, I’m William Brangham.

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A rural housing project branded as ‘truly transformative’ has been completed