A novel method to efficiently differentiate human osteoclasts from blood-derived monocytes.

BACKGROUND: Osteoclasts are the tissue-specific macrophage population of the bone and unique in their bone-resorbing activity. Hence, they are fundamental for bone physiology in health and disease. However, efficient protocols for the isolation and study of primary human osteoclasts are scarce. In this study, we aimed to establish a protocol, which enables the efficient differentiation of functional human osteoclasts from monocytes. RESULTS: Human monocytes were isolated through a double-density gradient from donor blood. Compared to standard differentiation schemes in polystyrene cell culture dishes, the yield of multinuclear osteoclasts was significantly increased upon initial differentiation of monocytes to macrophages in fluorinated ethylene propylene (FEP) Teflon bags. This initial differentiation phase was then followed by the development of terminal osteoclasts by addition of Receptor Activator of NF-κB Ligand (RANKL). High concentrations of RANKL and Macrophage colony-stimulating factor (M-CSF) as well as an intermediate cell density further supported efficient cell differentiation. The generated cells were highly positive for CD45, CD14 as well as the osteoclast markers CD51/ITGAV and Cathepsin K/CTSK, thus identifying them as osteoclasts. The bone resorption of the osteoclasts was significantly increased when the cells were differentiated from macrophages derived from Teflon bags compared to macrophages derived from conventional cell culture plates. CONCLUSION: Our study has established a novel protocol for the isolation of primary human osteoclasts that improves osteoclastogenesis in comparison to the conventionally used cultivation approach.

Coordinated Care Experiences Among Middle-Aged and Older Adults with Multiple Chronic Conditions: Characteristics, Correlates, and Consequences for Health and Healthcare Utilization.

BACKGROUND AND OBJECTIVES: While coordinated care (CC) seeks to improve patient experiences and ultimately health outcomes, evidence from empirical research on the impacts of CC is mixed. This study examined the relationship between CC and healthcare outcomes over a four-year period among older adults with multiple chronic conditions. RESEARCH DESIGN AND METHODS: This observational cohort study is based on data come from the 2016-2020 Health and Retirement Study. Analysis is limited to respondents with 2+ chronic conditions who completed an experimental module on CC in 2016 (n = 906). Three domains of CC were assessed: perceptions, informal (family/friends) and formal (healthcare staff) tangible support, and technical support (using a "patient portal"). The longitudinal relationship between CC and health (e.g., pain, functioning, self-rated health) and healthcare (e.g., doctor visits, hospitalization, care satisfaction) outcomes was investigated using mixed-effects models. RESULTS: Better perceptions of CC were associated with lower odds of functional difficulties (Odds ratio (OR)=0.92; 95% CI=0.88-0.99) and greater satisfaction with care (B=0.04, 95% CI=0.02-0.05). Receipt of more informal tangible support was associated with 2.97 higher odds of ADL limitations (95% CI: 1.69-5.22) and 1.77 higher odds of hospitalization (95% CI=1.32-2.38). Use of technical support was associated with better self-rated health and greater satisfaction with care. DISCUSSION AND IMPLICATIONS: The longitudinal relationship between CC and health is multi-faceted. While positive perceptions and more technical support have beneficial effects on health outcomes, higher utilization of tangible support may reflect a higher demand among older adults with more complex healthcare needs.

Gut microbiota predicts severity and reveals novel metabolic signatures in acute pancreatitis.

OBJECTIVE: Early disease prediction is challenging in acute pancreatitis (AP). Here, we prospectively investigate whether the microbiome predicts severity of AP (Pancreatitis-Microbiome As Predictor of Severity; P-MAPS) early at hospital admission. DESIGN: Buccal and rectal microbial swabs were collected from 424 patients with AP within 72 hours of hospital admission in 15 European centres. All samples were sequenced by full-length 16S rRNA and metagenomic sequencing using Oxford Nanopore Technologies. Primary endpoint was the association of the orointestinal microbiome with the revised Atlanta classification (RAC). Secondary endpoints were mortality, length of hospital stay and severity (organ failure >48 hours and/or occurrence of pancreatic collections requiring intervention) as post hoc analysis. Multivariate analysis was conducted from normalised microbial and corresponding clinical data to build classifiers for predicting severity. For functional profiling, gene set enrichment analysis (GSEA) was performed and normalised enrichment scores calculated. RESULTS: After data processing, 411 buccal and 391 rectal samples were analysed. The intestinal microbiome significantly differed for the RAC (Bray-Curtis, p value=0.009), mortality (Bray-Curtis, p value 0.006), length of hospital stay (Bray-Curtis, p=0.009) and severity (Bray-Curtis, p value=0.008). A classifier for severity with 16 different species and systemic inflammatory response syndrome achieved an area under the receiving operating characteristic (AUROC) of 85%, a positive predictive value of 67% and a negative predictive value of 94% outperforming established severity scores. GSEA revealed functional pathway units suggesting elevated short-chain fatty acid (SCFA) production in severe AP. CONCLUSIONS: The orointestinal microbiome predicts clinical hallmark features of AP, and SCFAs may be used for future diagnostic and therapeutic concepts. TRIAL REGISTRATION NUMBER: NCT04777812.

Autophagy captures the retromer-TBC1D5 complex to inhibit receptor recycling.

Retromer prevents the destruction of numerous receptors by recycling them from endosomes to the trans-Golgi network or plasma membrane. This enables retromer to fine-tune the activity of many signaling pathways in parallel. However, the mechanism(s) by which retromer function adapts to environmental fluctuations such as nutrient withdrawal and how this affects the fate of its cargoes remains incompletely understood. Here, we reveal that macroautophagy/autophagy inhibition by MTORC1 controls the abundance of retromer+ endosomes under nutrient-replete conditions. Autophagy activation by chemical inhibition of MTOR or nutrient withdrawal does not affect retromer assembly or its interaction with the RAB7 GAP protein TBC1D5, but rather targets these endosomes for bulk destruction following their capture by phagophores. This process appears to be distinct from amphisome formation. TBC1D5 and its ability to bind to retromer, but not its C-terminal LC3-interacting region (LIR) or nutrient-regulated dephosphorylation, is critical for retromer to be captured by autophagosomes following MTOR inhibition. Consequently, endosomal recycling of its cargoes to the plasma membrane and trans-Golgi network is impaired, leading to their lysosomal turnover. These findings demonstrate a mechanistic link connecting nutrient abundance to receptor homeostasis.Abbreviations: AMPK, 5'-AMP-activated protein kinase; APP, amyloid beta precursor protein; ATG, autophagy related; BafA, bafilomycin A1; CQ, chloroquine; DMEM, Dulbecco's minimum essential medium; DPBS, Dulbecco's phosphate-buffered saline; EBSS, Earle's balanced salt solution; FBS, fetal bovine serum; GAP, GTPase-activating protein; MAP1LC3/LC3, microtubule associated protein 1 light chain 3; LIR, LC3-interacting region; LANDO, LC3-associated endocytosis; LP, leupeptin and pepstatin; MTOR, mechanistic target of rapamycin kinase; MTORC1, MTOR complex 1; nutrient stress, withdrawal of amino acids and serum; PDZ, DLG4/PSD95, DLG1, and TJP1/zo-1; RPS6, ribosomal protein S6; RPS6KB1/S6K1, ribosomal protein S6 kinase B1; SLC2A1/GLUT1, solute carrier family 2 member 1; SORL1, sortillin related receptor 1; SORT1, sortillin 1; SNX, sorting nexin; TBC1D5, TBC1 domain family member 5; ULK1, unc-51 like autophagy activating kinase 1; WASH, WASH complex subunit.

GENA: A knowledge graph for nutrition and mental health.

While a large number of knowledge graphs have previously been developed by automatically extracting and structuring knowledge from literature, there is currently no such knowledge graph that encodes relationships between food, biochemicals and mental illnesses, even though a large amount of knowledge about these relationships is available in the form of unstructured text in biomedical literature articles. To address this limitation, this article describes the development of GENA - (Graph of mEntal-health and Nutrition Association), a knowledge graph that represents relations between nutrition and mental health, extracted from biomedical abstracts. GENA is constructed from PubMed abstracts that contain keywords relating to chemicals, food, and health. A hybrid named entity recognition (NER) model is firstly applied to these abstracts to identify various entities of interest. Subsequently, a deep syntax-based relation extraction model is used to detect binary relations between the identified entities. Finally, the resulting relations are used to populate the GENA knowledge graph, whose relationships can be accessed in an intuitive and interpretable manner using the Neo4J Database Management System. To evaluate the reliability of GENA, two annotators manually assessed a subset of the extracted relations. The evaluation results show that our methods obtain high precision for the NER task and acceptable precision and relative recall for the relation extraction task. GENA consists of 43,367 relationships that encode information about nutrition and health, of which 94.04% are new relations that are not present in existing ontologies of food and diseases. GENA is constructed based on scientific principles, and has the potential to be used within further applications to contribute towards scientific research within the domain. It is a pioneering knowledge graph in nutrition and mental health, containing a diverse range of relationship types. All of our source code and results are publicly available at https://github.com/ddlinh/gena-db.

Effectiveness of bee venom acupuncture for patients suffering from periarthritis humeroscapularis.

OBJECTIVE: To evaluate the efficacy of bee venom acupuncture in humeroscapularis (PHS) patients. METHODS: One hundred and twenty patients diagnosed with PHS were assigned into four groups: BV1 (0.01 mg/kg), BV2 (0.005 mg/kg), BV3 (0.0025 mg/kg), and control group (vitamin B1 plus novocain 3% injection) with 15 d of treatment. The outcomes of the study including visual analogue scale (VAS) score and ß-endorphin, inflammatory cytokines including interleukin-10 (IL-10), IL-1ß and tumor necrosis factor α (TNF-α) and shoulder function score were assessed at baseline, after 10 and 15 d of treatment. RESULTS: All four groups reported statistically significant improvement in VAS score, motion range, and shoulder function score ( < 0.01), only the BV3 group showed significant increase of anti-inflammatory (IL-10) and decrease of pro-inflammatory (IL-1ß, TNF-α) cytokines after treatment ( < 0.05). The BV3 group presented a significant difference between all outcomes compared to the control and other groups. CONCLUSION: BV3 groups showed better recovery including reduced pain, improved motor function and normalized inflammatory cytokines than current therapy used in Vietnam and other groups.

Research utility and limitations of textual data in the National Violent Death Reporting System: a scoping review and recommendations.

BACKGROUND: Many studies of injury deaths rely on mortality data that contain limited contextual information about decedents. The National Violent Death Reporting System (NVDRS) is unique among such data systems in that each observation includes both quantitative variables and qualitative texts (called "narratives") abstracted from original source documents. These narratives provide rich data regarding salient circumstances that can be used to inform prevention efforts. This review provides a comprehensive summary of peer-reviewed research using NVDRS narratives over the past 20 years, including the limitations of these texts and provides recommendations on utilizing and improving narrative quality for researchers and practitioners. MAIN BODY: Studies that used narratives to examine deaths related to suicide, homicide, undetermined intent, accidental firearm, or legal intervention were identified by a title/abstract screening, followed by a full-text review. The search was conducted on English-language, peer-reviewed literature and government reports published from 2002 to 2022 in PubMed, PsycInfo, Scopus, and Google Scholar. Abstracted elements focused on the methodologies used to analyze the narratives, including approaches to explore potential biases in these texts. Articles were abstracted independently by two reviewers, with disagreements resolved through consensus discussion. During the 20-year period, 111 articles used narratives. Two-thirds studied suicide (n = 48, 43%) and homicides (n = 25, 23%). Most studies analyzed the narratives using manual review (n = 81, 73%) and keyword searches (n = 9, 8%), with only 6 (5%) using machine learning tools. Narratives were mainly used for case finding (n = 49, 44%) and characterization of circumstances around deaths (n = 38, 34%). Common challenges included variability in the narratives and lack of relevant circumstantial details for case characterization. CONCLUSION: Although the use of narratives has increased over time, these efforts would be enhanced by detailed abstraction of circumstances with greater salience to injury research and prevention. Moreover, researchers and practitioners would benefit from guidance on integrating narratives with quantitative variables and standardized approaches to address variability in the completeness and length of narratives. Such efforts will increase the reliability of findings and set the stage for more widespread applications of data science methods to these texts.

Effectiveness on post-stroke hemiplegia in patients: electroacupuncture plus cycling electroacupuncture alone.

OBJECTIVE: To evaluate the effectiveness of cycling in combination with electroacupuncture in treatment of post-stroke hemiplegia patients at National Hospital of Acupuncture, Vietnam. METHODS: The study was designed as a single-centre, outcome-assessor-blinded parallel randomised controlled trial with 120 post-stroke hemiplegia patients randomly assigned into two groups: electroacupuncture plus cycling (CT group) and electroacupuncture (AT group). Patients were assessed before and after the treatment (using muscle grading, modified Rankin, Barthel, Orgorozo scores and electromyography). Statistical Man-Whitney U test, and Fisher's exact tests were used to compare between CT and AT groups. RESULTS: The results reported statistically significant improvement in motor function in patients suffering from hemiplegia following ischemic stroke in both CT and AT groups. Patients in CT group experienced a greater improvement compared to those in AT group including better muscle contraction (increased frequency and amplitude of electromyography and increased muscle grading scale); increased recovery (Orgogozo scale), increased independency (Barthel scale) and decreased disability (Modified Rankin scale) (< 0.01). CONCLUSIONS: Combination with cycling training significantly improves the recovery of post-stroke patients treated with electroacupuncture.

Cardiac Vagal Regulation Is Impeded in Children With Cyclic Vomiting Syndrome.

INTRODUCTION: The pathophysiology underlying cyclic vomiting syndrome (CVS) remains undefined. Scant data and distinct clinical features point to altered autonomic nervous system function. Autonomic signaling can be noninvasively assessed through cardiac indices of parasympathetic vagal regulation, which is reduced in children with disorders of gut-brain interaction. We aimed to examine dynamic cardiac vagal regulation in children with CVS compared with that in healthy controls (HC). METHODS: A total of 31 children with CVS evaluated in a tertiary care CVS center and 66 HC (ages 8-18 years) underwent cardiac autonomic function assessment. Electrocardiogram recordings were conducted during 3-minute sit/stand/sit posture challenges. The electrocardiogram-derived variables heart period, respiratory sinus arrhythmia (RSA), and vagal efficiency (VE) were analyzed using linear regression and mixed-effects modeling. RESULTS: After exclusion of medication confounders, 23 patients with CVS were included in analyses. Both groups were comparable in age, gender, and body mass index. Compared with HC, children with CVS had shorter heart period (standardized mean difference range: 1.15-1.22, all P values < 0.05) and lower RSA (SMD range: 0.66-0.88, all P values < 0.05). Patients with CVS had significantly lower VE during the entire course of posture shifts, compared with HC ( B = -19.87, SE = 6.95, t = -2.86, P = 0.005, SMD = 0.76). DISCUSSION: Children with CVS have suboptimal parasympathetic autonomic regulation compared with HC, indexed by reduced RSA and VE, even during their interepisodic well phase. Abnormal vagal modulation may underlie CVS pathophysiology, comorbidities, and triggers. Assessing VE during posture stressors could inform therapeutic interventions.

Two new antidiabetic xanthones from the twigs of Garcinia oblongifolia.

Two new xanthones, oblongixanthones I (1) and J (2), and seven known compounds (3-9), were isolated from an EtOAc extract of the twigs of Garcinia oblongifolia. Their structures were elucidated using spectroscopic methods, mainly 1 D and 2 D NMR. The antidiabetic effects of the two new compounds were evaluated using α-glucosidase and PTP1B inhibition assays. Both compounds displayed strong inhibition towards α-glucosidase with IC50 values of 258.7 ± 49.3 and 187.1 ± 27.5 µM, respectively (compared with acarbose, IC50 = 900.0 ± 3.0 µM) and moderate effects against PTP1B with IC50 values of 93.9 ± 12.3 and 64.1 ± 5.8 µM, respectively (compared with RK682, IC50 = 4.4 ± 0.3 l µM).

The Microbiome in PDAC-Vantage Point for Future Therapies?

Microorganisms have been increasingly implicated in the pathogenesis of malignant diseases, potentially affecting different hallmarks of cancer. Despite the fact that we have recently gained tremendous insight into the existence and interaction of the microbiome with neoplastic cells, we are only beginning to understand and exploit this knowledge for the treatment of human malignancies. Pancreatic ductal adenocarcinoma (PDAC) is an aggressive solid tumor with limited therapeutic options and a poor long-term survival. Recent data have revealed fascinating insights into the role of the tumoral microbiome in PDAC, with profound implications for survival and potentially therapeutic outcomes. In this review, we outline the current scientific knowledge about the clinical and translational role of the microbiome in PDAC. We describe the microbial compositions in healthy and tumoral pancreatic tissue and point out four major aspects of the microbiome in PDAC: pathogenesis, diagnosis, treatment, and prognosis. However, caution must be drawn to inherent pitfalls in analyzing the intratumoral microbiome. Among others, contamination with environmental microbes is one of the major challenges. To this end, we discuss different decontamination approaches that are crucial for clinicians and scientists alike to foster applicability and physiological relevance in this translational field. Without a definition of an exact and reproducible intratumoral microbial composition, the exploitation of the microbiome as a diagnostic or therapeutic tool remains theoretical.

Work Expectations, Depressive Symptoms, and Passive Suicidal Ideation Among Older Adults: Evidence From the Health and Retirement Study.

BACKGROUND AND OBJECTIVES: Employment and work transitions (e.g., retirement) influence mental health. However, how psychosocial contexts such as anticipation and uncertainty about work transitions, irrespective of the transitions themselves, relate to mental health is unclear. This study examined the relationships of work expectations with depressive symptoms, major depression episodes (MDE), and passive suicidal ideation over a 10-year period among the "Baby Boom" cohort of the Health and Retirement Study. RESEARCH DESIGN AND METHODS: Analysis was limited to 13,247 respondents aged 53-70 observed from 2008 to 2018. Past-year depressive symptoms, MDE, and passive suicidal ideation were indexed using the Composite International Diagnostic Interview-Short Form. Expectations regarding working full-time after age 62 were assessed using a probability scale (0%-100%). Mixed-effect logistic regressions with time-varying covariates were used to assess the relationship of work expectations with mental health, accounting for demographics, health status, and functioning, and stratified by baseline employment status. RESULTS: At baseline, higher work expectations were inversely associated with depressive symptoms. Longitudinally, higher expectations were associated with lower odds of depressive symptoms (odds ratio [OR] = 0.93, 95% CI: 0.91, 0.94). This association was more pronounced among respondents not working at baseline (ORNot working = 0.93 vs ORWorking = 0.96). Greater uncertainty (i.e., expectations near 50%) was also inversely associated with depressive symptoms. Results were similar for past-year MDE and passive suicidal ideation. DISCUSSION AND IMPLICATIONS: Expectations (overall likelihood and uncertainty), as indicators of psychosocial context, provide insight into the processes that link work transitions with depression risk.

Spotlight on the Challenges of Depression following Retirement and Opportunities for Interventions.

As a major life transition characterized by changes in social, behavioral, and psychological domains, retirement is associated with numerous risk factors that can contribute to the development of depression in later life. Understanding how these risk factors intersect with overall health and functioning can inform opportunities for mental health promotion during this transition. The objective of this review is to summarize the literature on risk and protective factors for depression during retirement transitions, discuss challenges related to appropriate management of depression in later life, and describe opportunities for prevention and intervention for depression relating to retirement transitions, both within and beyond the health care system. Key implications from this review are that 1) the relationship between depression and retirement is multifaceted; 2) while depression is a common health condition among older adults, this syndrome should not be considered a normative part of aging or of retirement specifically; 3) the existing mental health specialty workforce is insufficient to meet the depression management needs of the aging population, and 4) therefore, there is a need for interprofessional and multidisciplinary intervention efforts for preventing and managing depression among older adults. In sum, both healthcare providers, public health practitioners, and community organizations have meaningful opportunities for promoting the mental health of older adults during such major life transitions.

Factors Associated With High Rates of Depressive Symptomatology in Older People in Vietnam.

OBJECTIVES: This study aimed to identify the prevalence and correlates of depressive symptomatology among Vietnamese older people. METHOD: We used baseline survey data collected in 2018 from the Longitudinal Study of Ageing and Health in Vietnam (LSAHV) conducted across seven regions and comprising 6,050 people aged 60 years and over of whom 4962 completed the brief 11-item Center for Epidemiological Studies-Depression (CES-D) scale. Clinically significant depressive symptomatology was a CES-D score of 8.8 or higher. The association between demographic, physical, and mental factors with depressive symptomatology was examined using univariate and multivariable logistic regression. RESULTS: The prevalence of depressive symptomatology was 31.3% (95% CI 29.8% - 32.9%). Depressive symptomatology was highest among people living in the Central Coast region (46.8%, 95% CI 44.5% - 49.2%). Factors associated with depressive symptomatology from the multivariable model included female sex (OR 1.3, 95% CI: 1.1-1.6), rural residence (OR 1.4, 95%CI: 1.1-1.7), not having a partner (OR 1.6, 95% CI: 1.3-1.9), low income (OR 1.8, 95% CI: 1.5-2.1), and health-limitations on activities (OR 1.3, 95% CI: 1.1-1.6). Poorer self-rated mental health (OR 2.1, 95% CI:1.8-2.5) or general health status (OR 1.5, 95% CI: 1.3-1.9) was associated with a higher prevalence of depressive symptomatology, as was poorer function with respect to different activities of daily living, and dissatisfaction with current life (OR 6.1, 95% CI: 4.4-8.4). CONCLUSIONS: Depressive symptomatology was frequent among older Vietnamese. Efforts to improve mental health in older persons in Vietnam, including prevention, early intervention and better medical care, appear warranted.

Self-Relation Attention and Temporal Awareness for Emotion Recognition via Vocal Burst.

Speech emotion recognition (SER) is one of the most exciting topics many researchers have recently been involved in. Although much research has been conducted recently on this topic, emotion recognition via non-verbal speech (known as the vocal burst) is still sparse. The vocal burst is concise and has meaningless content, which is harder to deal with than verbal speech. Therefore, in this paper, we proposed a self-relation attention and temporal awareness (SRA-TA) module to tackle this problem with vocal bursts, which could capture the dependency in a long-term period and focus on the salient parts of the audio signal as well. Our proposed method contains three main stages. Firstly, the latent features are extracted using a self-supervised learning model from the raw audio signal and its Mel-spectrogram. After the SRA-TA module is utilized to capture the valuable information from latent features, all features are concatenated and fed into ten individual fully-connected layers to predict the scores of 10 emotions. Our proposed method achieves a mean concordance correlation coefficient (CCC) of 0.7295 on the test set, which achieves the first ranking of the high-dimensional emotion task in the 2022 ACII Affective Vocal Burst Workshop & Challenge.

Beneficial Effects of Acupuncture as a Complementary Treatment for Patients Receiving Paroxetine For Major Depressive Disorder: A Meta-Analysis.

Objective: Major depressive disorder (MDD) is a major public health problem due to MDD's increasing incidence among adults worldwide. While selective serotonin reuptake inhibitors (SSRIs), such as paroxetine, are considered to be the most effective treatment for MDD, the adverse effects of SSRIs should not be neglected. The aim of this research was to evaluate the effectiveness of acupuncture as a complement to paroxetine systematically for improving quality of life (QoL) for patients with MDD. Methods and Materials: Chinese and English electronic databases were searched, randomized controlled clinical studies were collected, data entry was managed, and a meta-analysis was performed to evaluate the QoL of the patients pre and post treatment. Results: There were 5 studies included in the review, in which the researchers compared the QoL of patients with MDD treated with: paroxetine + acupuncture (both electroacupuncture and traditional acupuncture) or paroxetine alone. In all aspects-including physical health, psychologic health, social relationships, and environment-patients treated with the combination therapy experienced a significant improvements in QoL compared the patients treated with the single therapy. Conclusions: Using acupuncture as a complementary treatment improved QoL in patients with MDD.

Effectiveness of an Automated Error Checking and Feedback System to Improve Text Message Reporting for Disease Surveillance in Viet Nam.

Purpose: Viet Nam currently relies on a manual paper-based system to track and monitor 28 major infectious diseases. This inefficient system takes 2 or more months to complete. Method: We designed and pilot tested the use of text messaging to report certain infectious disease symptoms in rural areas of northern Viet Nam. The project was divided into three 6-month phases carried out in two provinces. The current analysis focuses on the implementation of a two-way feedback system between Phases II and III, which aims at (1) evaluating whether this system improves efficiency by determining the number of correctly (vs. incorrectly) formatted text messages; (2) assessing this system's influence on accuracy by comparing text messages with their respective official paper-based documented forms; and (3) determining whether the amount of information required to report through text messages influences the efficiency and accuracy of the text messages. Results: Between Phases II and III, results revealed a significant improvement in correctly formatted texts in comparison to incorrectly formatted texts. As the number of fields required to report increased, the number of correctly formatted texts (efficiency) as well as the number of matched text messages (accuracy) decreased. Conclusion: Our research demonstrates that an automated error bidirectional feedback system can significantly improve both the efficiency and accuracy of a Short Message Service-based method for disease surveillance. Also, our data may suggest that two-way communication has better engaged health care staff to follow reporting protocols as well as to maintain accuracy from their clinic's own data.

Molecular genotypes of gag sequences in HIV-1 infected children treated with antiretroviral therapy in Vietnam.

BACKGROUND: Gag protein of human immunodeficiency virus (HIV) has been reported to play a crucial role in establishing infection, viral replication, and disease progression; thus, gag might be related to treatment response. The objective of this study was to investigate molecular genotypes of the gag gene, particularly the important functional binding domains in relation to treatment outcomes. METHODS: HIV-infected children enrolled and treated at Vietnam National Children's Hospital were recruited in the study. A total of 25 gag sequences were generated and used to construct phylogenetic trees and aligned with a reference sequence comparing 17 functional domains. RESULTS: We found that all patients in a treatment failure (TF) group belonged to one cluster of the phylogenetic tree. In addition, the rate of mutations was significantly higher in TF compared with a treatment success (TS) group, specifically the PIP2 recognition motif, and the nucleocapsid basic and zinc motif 2 domains [median and (interquartile range (IQR): 12.5 (6.25-12.5) versus 50 (25-50), p < 0.01; 0 (0-0) versus 0 (0-21.43), p = 0.03 and 0 (0-7.14) versus 7.14 (7.14-7.14), p = 0.04, respectively]. When analyzing gag sequences at different time points in seven patients, we did not observe a consistent mutation pattern related to treatment response. CONCLUSION: Gag mutations in certain domains might be associated with increased viral load; therefore, studying the molecular genotype of the gag gene might be beneficial in monitoring treatment response in HIV-infected children.

A Case-Control Study of Meat Mutagens and Colorectal Cancers in Viet Nam.

OBJECTIVE: The aim was to examine the association between heterocyclic amines 2-amino-1-methyl-6-phenylimidazo pyridine (PhIP) and the risk of colorectal cancer (CRC) in Viet Nam. METHODS: We performed a case-control study for 512 colorectal cancer patients with the histopathological confirmation and 1,096 hospital controls. We collected information on lifestyle, diet, and cooking methods from participants by trained interviewers using the validated questionnaires. We used data of PhIP concentration in cooked beef analyzed by the LC/MS/MS and cooking questionnaire to estimate the daily intake of PhIP. We divided the estimated amount of PhIP (ng/person/day) into three levels of non-intake (the reference), medium, and high to estimate the Odds ratio and 95% confidence interval (OR, 95%CI). RESULTS: The median intake of PhIP (ng/person/day) was 18ng and 102.8ng for medium and high PhIP intake, respectively. There was a significant association between PhIP intake and the risk of colorectal cancer. The adjusted OR (95%C), high intake vs. non-intake, were 4.89 (3.03, 7.89), p_trend.

Current imaging tools for vestibular schwannoma.

PURPOSE OF REVIEW: Of the tumors found in the cerebellopontine angle (CPA), vestibular schwannomas are by far the most common. Modern diagnostic imaging enables excellent visualization of the CPA and detection of very small tumors while optimizing patient comfort and time. This review addresses the current imaging tools available for diagnosis of vestibular schwannomas. RECENT FINDINGS: The current gold-standard imaging study for vestibular schwannomas is a gadolinium-enhanced T1-weighted MRI. The yield of this expensive study is only about 3-4% given the low incidence of vestibular schwannomas, thus there is utility in screening with noncontrast T2-weighted MRI, which is a quicker and more economical study. SUMMARY: Vestibular schwannomas are best evaluated with gadolinium-enhanced T1-weighted MRI, which can detect tumors as small as 2-3 mm. Recent studies have found that the reported sensitivity and specificity of noncontrast MRI is almost equivalent to that of gadolinium-enhanced T1-weighted MRI. As such, this modality is increasingly being adopted by institutions for both diagnosis and surveillance of vestibular schwannomas and shows promise for broader implementation. Newer protocols, such as FLAIR and DTI may provide additional information and further aid preoperative counseling and surgical planning in the future.