The Ability of a 3-Gene Host Signature in Blood to Distinguish Tuberculous Meningitis From Other Brain Infections.

BACKGROUND: Tuberculous meningitis (TBM) is difficult to diagnose. We investigated whether a 3-gene host response signature in blood can distinguish TBM from other brain infections. METHODS: The expression of 3 genes (dual specificity phosphatase 3 [DUSP3], guanylate-binding protein [GBP5], krupple-like factor 2 [KLF2]) was analyzed by RNA sequencing of archived whole blood from 4 cohorts of Vietnamese adults: 281 with TBM, 279 with pulmonary tuberculosis, 50 with other brain infections, and 30 healthy controls. Tuberculosis scores (combined 3-gene expression) were calculated following published methodology and discriminatory performance compared using area under a receiver operator characteristic curve (AUC). RESULTS: GBP5 was upregulated in TBM compared to other brain infections (P < .001), with no difference in DUSP3 and KLF2 expression. The diagnostic performance of GBP5 alone (AUC, 0.74; 95% confidence interval [CI], .67-.81) was slightly better than the 3-gene tuberculosis score (AUC, 0.66; 95% CI, .58-.73) in TBM. Both GBP5 expression and tuberculosis score were higher in participants with human immunodeficiency virus (HIV; P < .001), with good diagnostic performance of GBP5 alone (AUC, 0.86; 95% CI, .80-.93). CONCLUSIONS: The 3-gene host signature in whole blood has the ability to discriminate TBM from other brain infections, including in individuals with HIV. Validation in large prospective diagnostic study is now required.

An observational pragmatic quality-of-life study on paediatric tonsillectomy and waiting for surgery.

PURPOSE: To investigate parental perceptions of the effects of tonsillectomy on their child's quality of life while awaiting and following surgery in an Australian public health system. METHODS: An observational pragmatic study was undertaken at a tertiary Australian hospital. Parents of paediatric patients (2-16 years of age) listed for tonsillectomy completed a validated quality-of-life questionnaire (T-14 Paediatric Throat Disorders Outcome Test) at the initial consultation, on day of surgery, 6 weeks post-operatively and 6 months post-operatively. T-14 scores were compared using the Related-Samples Wilcoxon Signed Rank Test. RESULTS: Parents of 167 children participated in this study. There was a median wait time of 174 days (IQR 108-347) from the initial consultation until the day of surgery, with no significant change in median T-14 scores (35 [IQR 22-42] vs 36 [IQR 22-42]; n = 63; p > 0.05). There was a significant decrease from pre-operative T-14 scores to 6 weeks post-operatively (33.5 [IQR 22-42] vs 2 [IQR 0-5]; n = 160; p < 0.001), and this was sustained with a minor improvement at 6 months post-operatively (6 weeks 2 [IQR 0-5] vs 6 months 0 [IQR 0-2]; n = 148; p < 0.001). CONCLUSIONS: Paediatric tonsillectomy improves quality of life with a sustained benefit in the long term. There is no improvement to the patient's quality of life while awaiting tonsillectomy, thus patient welfare can be improved through reducing waiting times for surgery.

Subtle differences in autonomic symptoms in people diagnosed with hypermobile Ehlers-Danlos syndrome and hypermobility spectrum disorders.

The hypermobile Ehlers-Danlos syndrome (hEDS) GENE study is a multicenter, cohort study with the goal to identify genes associated with hypermobile EDS. Of the 148 people enrolled in the hEDS GENE study, 98 meet the 2017 hEDS criteria, 27 have a hypermobility spectrum disorder (HSD) and 23 are asymptomatic family members. More than 80% of participants are female with an average age of 41 years. Each participant has completed seven questionnaires to quantify disease-related symptomatology. People with hypermobility experience a variety of physical and somatic symptoms, especially in the areas of fatigue, kinesiophobia, gastrointestinal, and autonomic function. These cause a significant decrease in health-related quality of life. The frequency and severity of most symptoms were indistinguishable between participants with hEDS and HSD; however, there were significant differences in autonomic symptoms. Less than 20% of participants had autoantibodies known to be associated with dysautonomia. Subtle symptomatic differences in people meeting the 2017 diagnostic criteria suggest focusing further etiologic studies on autonomic pathways.

Health Related Quality of Life T-14 Outcomes for Pediatric Bizact Tonsillectomy.

Objectives: The objective of this study was to assess the T-14 outcomes of the BizactTM device for tonsillectomy in a pediatric population. Methods: A case series chart review was undertaken at a public tertiary teaching hospital and private otolaryngology practice, with data collected from pediatric patients who underwent a BizactTM tonsillectomy between July 2016 and October 2019 for any indication, whose parents consented to completing the T-14 questionnaire providing a parental perspective of the child's quality of life. Primary outcomes were T-14 scores recorded preoperatively and 6 weeks post-operatively. Secondary outcome measures were postoperative complications, including hemorrhage and readmission. Results: 146 patients were identified. There was a significant improvement in T-14 scores from a median of 24 (Interquartile range (IQR) 18-33) prior to surgery to 2 (IQR 0-4) at 6 weeks postoperatively (p < 0.001). The post-tonsillectomy hemorrhage rate was 6.1% (9/146 participants). Conclusions: Pediatric BizactTM tonsillectomy is effective in treating common indications for pediatric tonsillectomy, reflected by improved parent-reported health-related quality of life T-14 scores postoperatively.

Tuberculous meningitis: where to from here?

PURPOSE OF REVIEW: Tuberculous meningitis (TBM) is associated with significant mortality and morbidity yet is difficult to diagnose and treat. We reviewed original research published in the last 2 years, since 1 January 2018, which we considered to have a major impact in advancing diagnosis, treatment and understanding of the pathophysiology of TBM meningitis in children and adults. RECENT FINDINGS: Studies have sought to identify a high sensitivity diagnostic test for TBM, with new data on modified Ziehl--Neelsen staining, urinary and cerebrospinal fluid (CSF) lipoarabinomannan and GeneXpert Ultra. Recent studies on CSF biomarkers provide a better understanding of the detrimental inflammatory cascade and neuromarkers of brain damage and suggest potential for novel host-directed therapy. Tryptophan metabolism appears to affect outcome and requires further study. Increased clinical trials activity in TBM focuses on optimizing antituberculosis drug regimens and adjuvant therapy; however, there are few planned paediatric trials. SUMMARY: Tuberculous meningitis still kills or disables around half of sufferers. Although some progress has been made, there remains a need for more sensitive diagnostic tests, better drug therapy, improved management of complications and understanding of host-directed therapy if outcomes are to improve.

Designing combination therapies with modeling chaperoned machine learning.

Chemotherapy resistance is a major challenge to the effective treatment of cancer. Thus, a systematic pipeline for the efficient identification of effective combination treatments could bring huge biomedical benefit. In order to facilitate rational design of combination therapies, we developed a comprehensive computational model that incorporates the available biological knowledge and relevant experimental data on the life-and-death response of individual cancer cells to cisplatin or cisplatin combined with the TNF-related apoptosis-inducing ligand (TRAIL). The model's predictions, that a combination treatment of cisplatin and TRAIL would enhance cancer cell death and exhibit a "two-wave killing" temporal pattern, was validated by measuring the dynamics of p53 accumulation, cell fate, and cell death in single cells. The validated model was then subjected to a systematic analysis with an ensemble of diverse machine learning methods. Though each method is characterized by a different algorithm, they collectively identified several molecular players that can sensitize tumor cells to cisplatin-induced apoptosis (sensitizers). The identified sensitizers are consistent with previous experimental observations. Overall, we have illustrated that machine learning analysis of an experimentally validated mechanistic model can convert our available knowledge into the identity of biologically meaningful sensitizers. This knowledge can then be leveraged to design treatment strategies that could improve the efficacy of chemotherapy.

Tuberculosis treatment in children: The changing landscape.

Traditionally children have been treated for tuberculosis (TB) based on data extrapolated from adults. However, we know that children present unique challenges that deserve special focus. New data on optimal drug selection and dosing are emerging with the inclusion of children in clinical trials and ongoing research on age-related pharmacokinetics and pharmacodynamics. We discuss the changing treatment landscape for drug-susceptible and drug-resistant paediatric tuberculosis in both the most common (intrathoracic) and most severe (central nervous system) forms of disease, and address the current knowledge gaps for improving patient outcomes.

XRAYS (eXamining Relevance of Articles to Young Survivors) Program Survey of Information Needs and Media Use by Young Breast Cancer Survivors and Young Women at High-Risk for Breast Cancer.

Women age 45 years or younger with breast cancer, or who are at high-risk for breast cancer due to previously having the disease or to genetic risk, have distinct health risks and needs from their older counterparts. Young women frequently seek health information through the Internet and mainstream media, but often find it does not address their particular concerns, that it is difficult to evaluate or interpret, or even misleading. To help women better understand media coverage about new research, Facing Our Risk of Cancer Empowered (FORCE) developed the CDC-funded XRAYS (eXamining Relevance of Articles to Young Survivors) program. To assure that the XRAYS program is responsive to the community's needs, FORCE launched a web-based survey to assess where young women seek information about breast cancer, and to learn their unmet information needs. A total of 1,178 eligible women responded to the survey. In general, the breast cancer survivors and high-risk women between ages 18-45 years who responded to this survey, are using multiple media sources to seek information about breast cancer risk, prevention, screening, and treatment. They place trust in several media sources and use them to inform their medical decisions. Only about one-third of respondents to this survey report discussing media sources with their health care providers. Current survey results indicate that, by providing credible information on the quality of evidence and reporting in media reports on cancer, XRAYS is addressing a key need for health information. Results suggest that it will be useful for XRAYS to offer reviews of articles on a broad range of topics that can inform decisions at each stage of risk assessment and treatment.

Mucolipidosis type IV protein TRPML1-dependent lysosome formation.

Lysosomes are dynamic organelles that undergo cycles of fusion and fission with themselves and with other organelles. Following fusion with late endosomes to form hybrid organelles, lysosomes are reformed as discrete organelles. This lysosome reformation or formation is a poorly understood process that has not been systematically analyzed and that lacks known regulators. In this study, we quantitatively define the multiple steps of lysosome formation and identify the first regulator of this process.

Validity and Reliability of Value Assessment Frameworks for New Cancer Drugs.

BACKGROUND: Several organizations have developed frameworks to systematically assess the value of new drugs. These organizations include the American Society of Clinical Oncology (ASCO), the European Society for Medical Oncology (ESMO), the Institute for Clinical and Economic Review (ICER), and the National Comprehensive Cancer Network (NCCN). OBJECTIVES: To understand the extent to which these four tools can facilitate value-based treatment decisions in oncology. METHODS: In this pilot study, eight panelists conducted value assessments of five advanced lung cancer drugs using the ASCO, ESMO, and ICER frameworks. The panelists received instructions and published clinical data required to complete the assessments. Published NCCN framework scores were abstracted. The Kendall's W coefficient was used to measure convergent validity among the four frameworks. Intraclass correlation coefficients were used to measure inter-rater reliability among the ASCO, ESMO, and ICER frameworks. Sensitivity analyses were conducted. RESULTS: Drugs were ranked similarly by the four frameworks, with Kendall's W of 0.703 (P = 0.006) across all the four frameworks. Pairwise, Kendall's W was the highest for ESMO-ICER (W = 0.974; P = 0.007) and ASCO-NCCN (W = 0.944; P = 0.022) and the lowest for ICER-NCCN (W = 0.647; P = 0.315) and ESMO-NCCN (W = 0.611; P = 0.360). Intraclass correlation coefficients (confidence interval [CI]) for the ASCO, ESMO, and ICER frameworks were 0.786 (95% CI 0.517-0.970), 0.804 (95% CI 0.545-0.973), and 0.281 (95% CI 0.055-0.799), respectively. When scores were rescaled to 0 to 100, the ICER framework provided the narrowest band of scores. CONCLUSIONS: The ASCO, ESMO, ICER, and NCCN frameworks demonstrated convergent validity, despite differences in conceptual approaches used. The ASCO inter-rater reliability was high, although potentially at the cost of user burden. The ICER inter-rater reliability was poor, possibly because of its failure to distinguish differential value among the sample of drugs tested. Refinements of all frameworks should continue on the basis of further testing and stakeholder feedback.

Vitamin D in newborns. A randomised controlled trial comparing daily and single oral bolus vitamin D in infants.

AIM: There are no published data to demonstrate the efficacy of bolus dose vitamin D in newborn infants. The study sought to evaluate this alternative approach of supplementation. METHODS: This single centre, open randomised controlled trial was conducted from August 2013 to May 2014. It compared the efficacy and safety of daily (400 IU) versus a bolus dose (50 000 IU) of cholecalciferol in newborn infants of vitamin D deficient mothers. The primary outcome measure was the rate of 25 hydroxyvitamin D (25OHD) repletion-defined as 25OHD greater than 50 nmol/L. The secondary objective was determining safety using adjusted total serum calcium. RESULTS: Of 70 eligible infants, 36 received a daily dose and 34 received a single high-dose cholecalciferol. Mean 25OHD in the bolus group (154 nmol/L, 95% confidence interval (CI) 131-177) was higher than the daily group (48 nmol/L, 95% CI 42-54) at 1-2 weeks of age. This was reversed at 3-4 months, (65 nmol/L, 95% CI 59-71) compared with the daily group (81 nmol/L, 95% CI 77-85). More infants in the single bolus group achieved vitamin D repletion (100 vs. 31%) at 1-2 weeks. By 3-4 months, both groups achieved similar vitamin D repletion rates (91 vs. 89%). Mean adjusted total serum calcium in the bolus group were normal at 1-2 weeks (2.73 mmol/L) and 3-4 months (2.55 mmol/L). CONCLUSION: Single bolus dosing of 50 000 IU cholecalciferol achieves higher 25OHD repletion rates at 1-2 weeks of age compared with daily dosing, but repletion rates were similar by 3-4 months. There was no hypercalcaemia documented with single bolus dosing in this study.

Chronic comorbid conditions associated with risk of febrile neutropenia in breast cancer patients treated with chemotherapy.

Chemotherapy-induced febrile neutropenia (FN) is associated with increased patient mortality and health care costs. Comorbid conditions such as liver and renal dysfunction have been linked to increased risk of FN. However, the effects of other chronic comorbid conditions on risk of FN have not been well studied. To examine the association between chronic comorbid conditions and FN in breast cancer patients, we identified incident breast cancer patients from 2000 to 2009 treated with chemotherapy at Kaiser Permanente Southern California, a large managed care organization. Patients who received primary prophylactic granulocyte colony-stimulating factor (G-CSF) were excluded. We assessed history of comorbid conditions prior to cancer diagnosis using ICD-9 codes and disease registries. FN events were identified in the first chemotherapy cycle using a combination of ICD-9 codes and hospital discharge diagnoses. For each comorbid condition, propensity scores that included patient characteristics and other predisposing comorbid conditions were calculated and adjusted for in Cox models to determine associations between that comorbid condition and FN. We also evaluated secondary models that additionally adjusted for cancer stage, baseline absolute neutrophil count (ANC), chemotherapy regimen, and dose reductions. A total of 7,127 breast cancer patients were included; median age was 55 years, and the majority had localized (47 %) or regional (49 %) disease at diagnosis. In the first chemotherapy cycle, 335 (4.7 %) patients developed FN. Congestive heart failure (HR = 3.0; 95 % CI: 1.3-5.9), osteoarthritis (HR = 2.0; 95 % CI: 1.4-2.8), previous cancer (HR = 3.4; 95 % CI: 1.2-7.5), and thyroid disorder (HR = 1.6; 95 % CI: 1.1-2.3) were associated with increased risk of FN. These estimates were similar to those from secondary models that also adjusted for additional cancer and treatment-related covariates. Our findings suggest that several chronic comorbid conditions may be associated with risk of FN. This information, if confirmed by others, may aid clinical decision making with respect to use of prophylactic G-CSF during chemotherapy treatment.

USP19 deubiquitinase inactivation regulates α-synuclein ubiquitination and inhibits accumulation of Lewy body-like aggregates in mice.

The USP19 deubiquitinase is found in a locus associated with Parkinson's Disease (PD), interacts with chaperonins, and promotes secretion of α-synuclein (α-syn) through the misfolding-associated protein secretion (MAPS) pathway. Since these processes might modulate the processing of α-syn aggregates in PD, we inactivated USP19 (KO) in mice expressing the A53T mutation of α-syn and in whom α-syn preformed fibrils (PFF) had been injected in the striatum. Compared to WT, KO brains showed decreased accumulation of phospho-synuclein (pSyn) positive aggregates. This improvement was associated with less activation of microglia and improved performance in a tail-suspension test. Exposure of primary neurons from WT and KO mice to PFF in vitro also led to decreased accumulation of pSyn aggregates. KO did not affect uptake of PFF nor propagation of aggregates in the cultured neurons. We conclude that USP19 instead modulates intracellular dynamics of aggregates. At an early time following PFF injection when the number of pSyn-positive neurons were similar in WT and KO brains, the KO neurons contained less aggregates. KO brain aggregates stained more intensely with anti-ubiquitin antibodies. Immunoprecipitation of soluble proteins from WT and KO brains with antibodies to pSyn showed higher levels of ubiquitinated oligomeric species in the KO samples. We propose that the improved pathology in USP19 KO brains may arise from decreased formation or enhanced clearance of the more ubiquitinated aggregates and/or enhanced disassembly towards more soluble oligomeric species. USP19 inhibition may represent a novel therapeutic approach that targets the intracellular dynamics of α-syn complexes.

Development of treatment-decision algorithms for children evaluated for pulmonary tuberculosis: an individual participant data meta-analysis.

BACKGROUND: Many children with pulmonary tuberculosis remain undiagnosed and untreated with related high morbidity and mortality. Recent advances in childhood tuberculosis algorithm development have incorporated prediction modelling, but studies so far have been small and localised, with limited generalisability. We aimed to evaluate the performance of currently used diagnostic algorithms and to use prediction modelling to develop evidence-based algorithms to assist in tuberculosis treatment decision making for children presenting to primary health-care centres. METHODS: For this meta-analysis, we identified individual participant data from a WHO public call for data on the management of tuberculosis in children and adolescents and referral from childhood tuberculosis experts. We included studies that prospectively recruited consecutive participants younger than 10 years attending health-care centres in countries with a high tuberculosis incidence for clinical evaluation of pulmonary tuberculosis. We collated individual participant data including clinical, bacteriological, and radiological information and a standardised reference classification of pulmonary tuberculosis. Using this dataset, we first retrospectively evaluated the performance of several existing treatment-decision algorithms. We then used the data to develop two multivariable prediction models that included features used in clinical evaluation of pulmonary tuberculosis-one with chest x-ray features and one without-and we investigated each model's generalisability using internal-external cross-validation. The parameter coefficient estimates of the two models were scaled into two scoring systems to classify tuberculosis with a prespecified sensitivity target. The two scoring systems were used to develop two pragmatic, treatment-decision algorithms for use in primary health-care settings. FINDINGS: Of 4718 children from 13 studies from 12 countries, 1811 (38·4%) were classified as having pulmonary tuberculosis: 541 (29·9%) bacteriologically confirmed and 1270 (70·1%) unconfirmed. Existing treatment-decision algorithms had highly variable diagnostic performance. The scoring system derived from the prediction model that included clinical features and features from chest x-ray had a combined sensitivity of 0·86 [95% CI 0·68-0·94] and specificity of 0·37 [0·15-0·66] against a composite reference standard. The scoring system derived from the model that included only clinical features had a combined sensitivity of 0·84 [95% CI 0·66-0·93] and specificity of 0·30 [0·13-0·56] against a composite reference standard. The scoring system from each model was placed after triage steps, including assessment of illness acuity and risk of poor tuberculosis-related outcomes, to develop treatment-decision algorithms. INTERPRETATION: We adopted an evidence-based approach to develop pragmatic algorithms to guide tuberculosis treatment decisions in children, irrespective of the resources locally available. This approach will empower health workers in primary health-care settings with high tuberculosis incidence and limited resources to initiate tuberculosis treatment in children to improve access to care and reduce tuberculosis-related mortality. These algorithms have been included in the operational handbook accompanying the latest WHO guidelines on the management of tuberculosis in children and adolescents. Future prospective evaluation of algorithms, including those developed in this work, is necessary to investigate clinical performance. FUNDING: WHO, US National Institutes of Health.

Tuberculous meningitis: progress and remaining questions.

Tuberculous meningitis is a devastating brain infection that is caused by Mycobacterium tuberculosis and is notoriously difficult to diagnose and treat. New technologies characterising the transcriptome, proteome, and metabolome have identified new molecules and pathways associated with tuberculous meningitis severity and poor outcomes that could offer novel diagnostic and therapeutic targets. The next-generation GeneXpert MTB/RIF Ultra assay, when used on CSF, offers diagnostic sensitivity for tuberculous meningitis of approximately 70%, although it is not widely available and a negative result cannot rule out tuberculous meningitis. Small trials indicate that clinical outcomes might be improved with increased doses of rifampicin, the addition of linezolid or fluoroquinolones to standard antituberculosis therapy, or treatment with adjunctive aspirin combined with corticosteroids. Large phase 3 clinical trials are underway worldwide to address these and other questions concerning the optimal management of tuberculous meningitis; these studies also form a platform for studying pathogenesis and identifying novel diagnostic and treatment strategies, by allowing the implementation of new genomic, transcriptomic, proteomic, and metabolomic technologies in nested substudies.