Miracle-dz/UniFAR-FTUs huggingface dataset:
mHealth and big-data integration: promises for healthcare system in India

Background The use of mobile devices in health (mobile health/mHealth) coupled with related technologies promises to transform global health delivery by creating new delivery models that can be integrated with existing health services. These delivery models could facilitate healthcare delivery into rural areas where there is limited access to high-quality access care. Mobile technologies, Internet of Things and 5G connectivity may hold the key to supporting increased velocity, variety and volume of healthcare data. Objective The purpose of this study is to identify and analyse challenges related to the current status of India’s healthcare system—with a specific focus on mHealth and big-data analytics technologies. To address these challenges, a framework is proposed for integrating the generated mHealth big-data and applying the results in India's healthcare. Method A critical review was conducted using electronic sources between December 2018 and February 2019, limited to English language articles and reports published from 2010 onwards. Main outcome This paper describes trending relationships in mHealth with big-data as well as the accessibility of national opportunities when specific barriers and constraints are overcome. The paper concentrates on the healthcare delivery problems faced by rural and low-income communities in India to illustrate more general aspects and identify key issues. A model is proposed that utilises generated data from mHealth devices for big-data analysis that could result in providing insights into the India population health status. The insights could be important for public health planning by the government towards reaching the Universal Health Coverage. Conclusion Biomedical, behavioural and lifestyle data from individuals may enable customised and improved healthcare services to be delivered. The analysis of data from mHealth devices can reveal new knowledge to effectively and efficiently support national healthcare demands in less developed nations, without fully accessible healthcare systems.
Pleiotropic role of Drosophila phosphoribosyl pyrophosphate synthetase in autophagy and lysosome homeostasis

Phosphoribosyl pyrophosphate synthetase (PRPS) is a rate-limiting enzyme whose function is important for the biosynthesis of purines, pyrimidines, and pyridines. Importantly, while missense mutations of PRPS1 have been identified in neurological disorders such as Arts syndrome, how they contribute to neuropathogenesis is still unclear. We identified the Drosophila ortholog of PRPS (dPRPS) as a direct target of RB/E2F in Drosophila, a vital cell cycle regulator, and engineered dPRPS alleles carrying patient-derived mutations. Interestingly, while they are able to develop normally, dPRPS mutant flies have a shortened lifespan and locomotive defects, common phenotypes associated with neurodegeneration. Careful analysis of the fat body revealed that patient-derived PRPS mutations result in profound defects in lipolysis, macroautophagy, and lysosome function. Significantly, we show evidence that the nervous system of dPRPS mutant flies is affected by these defects. Overall, we uncovered an unexpected link between nucleotide metabolism and autophagy/lysosome function, providing a possible mechanism by which PRPS-dysfunction contributes to neurological disorders.
Global Lysine Crotonylation and 2-Hydroxyisobutyrylation in Phenotypically Different Toxoplasma gondii Parasites*

The proteomes of the extracellular stage of the two phenotypically different Toxoplasma gondii strains, RH strain and ME49 strain, were systematically analyzed using an LC-MS/MS approach, and the global lysine crotonylation and 2-hydroxyisobutyrylation of the two parasite strains were deeply investigated. The global maps of lysine crotonylation and 2-hydroxyisobutyrylation of the proteomes of the two parasite strains will provide a valuable resource to facilitate the illumination of the biology of the zoonotic T. gondii parasite. Graphical Abstract Highlights Quantitative proteomes and epigenetic regulation of T. gondii. Protein crotonylation and 2-hydroxyisobutylation in phenotypically different T. gondii parasites. Regulation of invasion regulation of T. gondii by protein modification. Lysine crotonylation and 2-hydroxyisobutylation regulated in multiple biological processes in phenotypically different T. gondii parasites. Toxoplasma gondii is a unicellular protozoan parasite of the phylum Apicomplexa. The parasite repeatedly goes through a cycle of invasion, division and induction of host cell rupture, which is an obligatory process for proliferation inside warm-blooded animals. It is known that the biology of the parasite is controlled by a variety of mechanisms ranging from genomic to epigenetic to transcriptional regulation. In this study, we investigated the global protein posttranslational lysine crotonylation and 2-hydroxyisobutyrylation of two T. gondii strains, RH and ME49, which represent distinct phenotypes for proliferation and pathogenicity in the host. Proteins with differential expression and modification patterns associated with parasite phenotypes were identified. Many proteins in T. gondii were crotonylated and 2-hydroxyisobutyrylated, and they were localized in diverse subcellular compartments involved in a wide variety of cellular functions such as motility, host invasion, metabolism and epigenetic gene regulation. These findings suggest that lysine crotonylation and 2-hydroxyisobutyrylation are ubiquitous throughout the T. gondii proteome, regulating critical functions of the modified proteins. These data provide a basis for identifying important proteins associated with parasite development and pathogenicity.
Whole-Genome Sequence of Listeria monocytogenes Serovar 1/2a Strain IZSAM_Lm_15_17439_A144, Representative of a Human Outbreak in 2008

Here, we report the genome sequence of Listeria monocytogenes serovar 1/2a strain IZSAM_Lm_15_17439_A144, isolated in Italy from a patient during a Listeria monocytogenes outbreak in 2008. This strain showed 98.9% sequence identity to a strain isolated in Canada in the same year. ABSTRACT Here, we report the genome sequence of Listeria monocytogenes serovar 1/2a strain IZSAM_Lm_15_17439_A144, isolated in Italy from a patient during a Listeria monocytogenes outbreak in 2008. This strain showed 98.9% sequence identity to a strain isolated in Canada in the same year.
Statistical properties of cerebral CT perfusion imaging systems. Part I. Cerebral blood volume maps generated from nondeconvolution-based systems.

PURPOSE The development and clinical employment of a CT imaging system benefit from a thorough understanding of the statistical properties of the output images; cerebral CT perfusion (CTP) imaging system is no exception. A series of articles will present statistical properties of CTP systems and the dependence of these properties on system parameters. This Part I paper focuses on the signal and noise properties of cerebral blood volume (CBV) maps calculated using a nondeconvolution-based method. METHODS The CBV imaging chain was decomposed into a cascade of sub-imaging stages, which facilitated the derivation of analytical models for the probability density function, mean value, and noise variance of CBV. These models directly take CTP source image acquisition, reconstruction, and postprocessing parameters as inputs. Both numerical simulations and in vivo canine experiments were performed to validate these models. RESULTS The noise variance of CBV is linearly related to the noise variance of source images and is strongly influenced by the noise variance of the baseline images. Uniformly partitioning the total radiation dose budget across all time frames was found to be sub-optimal, and an optimal dose partition method was derived to minimize CBV noise. Results of the numerical simulation and animal studies validated the derived statistical properties of CBV. CONCLUSIONS The statistical properties of CBV imaging systems can be accurately modeled by extending the linear CT systems theory. Based on the statistical model, several key signal and noise characteristics of CBV were identified and an optimal dose partition method was developed to improve the image quality of CBV. This article is protected by copyright. All rights reserved.
The REMEDEE trial: 5‐Year results on a novel combined sirolimus‐eluting and endothelial progenitor cells capturing stent

To evaluate the long‐term safety and efficacy of the novel combined sirolimus‐eluting endothelial progenitor cell capture Combo stent (OrbusNeich, Fort Lauderdale, FL) at 5 years in the REMEDEE (Randomized study to Evaluate the safety and effectiveness of an abluMinal sirolimus coated bio‐Engineered stEnt) trial.
How humans initiate energy optimization and converge on their optimal gaits

ABSTRACT A central principle in motor control is that the coordination strategies learned by our nervous system are often optimal. Here, we combined human experiments with computational reinforcement learning models to study how the nervous system navigates possible movements to arrive at an optimal coordination. Our experiments used robotic exoskeletons to reshape the relationship between how participants walk and how much energy they consume. We found that while some participants used their relatively high natural gait variability to explore the new energetic landscape and spontaneously initiate energy optimization, most participants preferred to exploit their originally preferred, but now suboptimal, gait. We could nevertheless reliably initiate optimization in these exploiters by providing them with the experience of lower cost gaits, suggesting that the nervous system benefits from cues about the relevant dimensions along which to re-optimize its coordination. Once optimization was initiated, we found that the nervous system employed a local search process to converge on the new optimum gait over tens of seconds. Once optimization was completed, the nervous system learned to predict this new optimal gait and rapidly returned to it within a few steps if perturbed away. We then used our data to develop reinforcement learning models that can predict experimental behaviours, and applied these models to inductively reason about how the nervous system optimizes coordination. We conclude that the nervous system optimizes for energy using a prediction of the optimal gait, and then refines this prediction with the cost of each new walking step. Summary: Combining human experiments with computational reinforcement learning models reveals how the nervous system discovers energy optimal gaits.
Association of Vitamin D Deficiency with Profound Cardiogenic Shock In Patients Resuscitated from Sudden Cardiac Arrest.

BACKGROUND Vitamin D deficiency is associated with various cardiovascular diseases, including sudden cardiac arrest (SCA). Profound cardiogenic shock is associated with morbidity and mortality in patients with SCA. This study investigated the association of vitamin D deficiency with profound cardiogenic shock in patients resuscitated from SCA. MATERIALS AND METHODS We enrolled patients who were successfully resuscitated from out-of-hospital cardiac arrests of a presumed cardiac cause. Profound cardiogenic shock was defined as refractory hypotension requiring high-dose vasopressor infusion (norepinephrine >0.5 mcg/kg/min) despite adequate intravascular volume replacement. Vitamin D levels were measured as plasma 25(OH)D concentrations and severe vitamin D deficiency was defined as 25(OH)D <10 ng/mL. RESULTS A total of 237 subjects (179 men (76%), mean age 56.5 ± 16.5 years) were included in this study. The first monitored rhythm was shockable in 160 subjects (68%). Mean arrest time and CPR times were 25.6 ± 15.7 and 22.8 ± 15.0 minutes, respectively. Profound cardiogenic shock was observed in 100 subjects (42%). The mean vitamin D level was 12.3 ± 6.7 ng/mL, and vitamin D deficiency was diagnosed in 109 subjects (46%). In profound cardiogenic shock subjects, vitamin D levels were significantly lower (10.7 ± 7.0 vs. 13.4 ± 6.2 ng/mL, p = 0.002) and severe vitamin D deficiency was observed more frequently (63% vs. 34%, p < 0.001). Subjects with profound cardiogenic shock were likely to have longer arrest times (29.5 ± 17.0 vs. 22.7 ± 14.0 minutes, p = 0.001), left ventricular systolic dysfunction (LVEF < 40%, 73% vs. 38%, p < 0.001), and baseline renal dysfunction (65% vs. 37%, p < 0.001). Multivariate logistic analysis indicated that vitamin D deficiency was significantly associated with profound cardiogenic shock after SCA (OR 2.71, 95% CI 1.42-5.18, p = 0.003) after adjusting for confounding variables. CONCLUSIONS Severe vitamin D deficiency was strongly associated with profound cardiogenic shock and mortality in patients resuscitated from SCA.
Extra Virgin Olive Oil: Lesson from Nutrigenomics

Extra virgin olive oil (EVOO) consumption has a beneficial effect on human health, especially for prevention of cardiovascular disease and metabolic disorders. Here we underscore the peculiar importance of specific cultivars used for EVOO production since biodiversity among cultivars in terms of fatty acids and polyphenols content could differently impact on the metabolic homeostasis. In this respect, the nutrigenomic approach could be very useful to fully dissect the pathways modulated by different EVOO cultivars in terms of mRNA and microRNA transcriptome. The identification of genes and miRNAs modulated by specific EVOO cultivars could also help to discover novel nutritional biomarkers for prevention and/or prognosis of human disease. Thus, the nutrigenomic approach depicts a novel scenario to investigate if a specific EVOO cultivar could have a positive effect on human health by preventing the onset of cardiovascular disease and/or chronic inflammatory disorders also leading to cancer.
Minimal clinically important difference is lower for carpal tunnel syndrome patients undergoing injection versus surgery

and none required physical therapy. One patient reported mild pain at the base of the ipsilateral 5th metacarpal up to 9 months postoperatively. The others reported prompt and complete resolution of preoperative pain, noted no functional deficits or wrist weakness, were satisfied with the procedure, and to our knowledge, have not had any late complications. We believe that lengthening the ECU decreases tension in the tendon, which relieves painful stenosis or subluxation. Painless postoperative subluxation may occur. Subluxation or stenosis might be eliminated altogether by performing an ECU tenotomy (Figure 1(d)). However, the senior author favours lengthening over tenotomy to preserve some ECU function, in case the ECU should be called on as a donor tendon in the future, and because patients may be averse to a procedure that definitively eliminates the function of a body part. We recognize that neither of these potential benefits have been subjected to objective assessment. A prospective study including outcome measures is in order to determine the precise indications and efficacy of ECU lengthening.
The Effect of Trigger Point Injections on Pain in Patients with Advanced Cancer

Background It has been reported that in 62.5% of cases of incurable cancer pain, the complaint is due to myofascial pain syndrome. Trigger point injections using dibucaine hydrochloride help patients with such cancer pain. This study evaluated the efficacy of trigger point injections for alleviating pain in patients with advanced cancer. Methods Twenty patients with advanced cancer who had a life expectancy of 6 months or less and had been diagnosed with myofascial pain syndrome were treated with trigger point injections. Prior to treatment, a Visual Analog Scale (VAS) was used to measure the resting pain level and discomfort upon application of pressure on the site of pain. These values were compared with last treatment measurements. Results The mean pre-treatment VAS scores for pain at rest and upon application of pressure on the pain site were 7.3 and 9.0, respectively. These scores decreased significantly to 1.95 and 3.2, respectively, after the treatment (P<0.05). Conclusion Trigger point injection is an alternative and effective pain control modality for advanced cancer patients with myofascial pain syndrome.
Reducing Discomfort after Cesarean Birth Using Abdominal Binders.

PURPOSE The purpose of this study was to evaluate potential benefits of use of an abdominal binder after cesarean birth. STUDY DESIGN AND METHODS A randomized controlled trial was conducted at a Magnet-designated, academic medical center in the southwest United States. English- and Spanish-speaking adult women scheduled for an elective cesarean birth were randomized to the intervention or control group. Outcomes were measured for the first 48 hours postoperatively, including pain, medication use, and self-reported symptom distress. RESULTS Randomization resulted in balanced groups. Women who used the abdominal binder after cesarean birth reported a decrease in pain after ambulation, whereas women in the control group reported an increase in pain after ambulation (p < .001). Women in the binder group reported less distress on the Breathe and Cough items of the Symptom Distress Scale than those in the control group. On postoperative day 2, women in the binder group used more ibuprofen (p = .002) and acetaminophen (p = .027) than the control group. CLINICAL IMPLICATIONS Use of an abdominal binder by women after cesarean birth can decrease pain, potentially enhancing speed of postoperative recovery. As a nursing intervention, abdominal binders may offer women a safe nonpharmacologic option to provide postoperative comfort.
Reviewing HIV-1 Gag Mutations in Protease Inhibitors Resistance: Insights for Possible Novel Gag Inhibitor Designs

HIV protease inhibitors against the viral protease are often hampered by drug resistance mutations in protease and in the viral substrate Gag. To overcome this drug resistance and inhibit viral maturation, targeting Gag alongside protease rather than targeting protease alone may be more efficient. In order to successfully inhibit Gag, understanding of its drug resistance mutations and the elicited structural changes on protease binding needs to be investigated. While mutations on Gag have already been mapped to protease inhibitor resistance, there remain many mutations, particularly the non-cleavage mutations, that are not characterized. Through structural studies to unravel how Gag mutations contributes to protease drug resistance synergistically, it is thus possible to glean insights to design novel Gag inhibitors. In this review, we discuss the structural role of both novel and previously reported Gag mutations in PI resistance, and how new Gag inhibitors can be designed.
Recent advances in the diagnosis and treatment of natural killer/T-cell lymphomas

ABSTRACT Introduction: Natural killer (NK)/T-cell lymphomas are aggressive malignancies that present predominantly in nasal and adjacent sites (nasal subtype), occasionally in skin, gastrointestinal tract and other tissues (non-nasal), and rarely as disseminated disease with a leukemic phase (aggressive NK-cell leukemia, or leukemia/lymphoma, subtype). Areas covered: The diagnosis and treatment of NK/T-cell lymphoma are discussed, based on a PubMed literature search. The diagnostic criteria for NK/T-cell lymphoma are highlighted, followed by an update of the diagnostic and prognostic importance (on presentation, at interim and end-of-treatment) of plasma EBV DNA as a surrogate biomarker of lymphoma load. Prognostic models based on clinicopathologic features and EBV DNA load are discussed. For stage I/II NK/T-cell lymphomas, combined chemotherapy, and radiotherapy gives the best results, with their concomitant or sequential administration equally efficacious. For stage III/IV NK/T-cell lymphoma, chemotherapy is the mainstay of treatment. Conventional anthracycline-based regimens for B-cell lymphomas are ineffective. Recommended regimens combine L-asparaginase with other drugs not affected by P-glycoprotein. For relapsed/refractory patients, immune checkpoint blockade with antibodies against programmed cell death protein 1 has shown much promise. Expert opinion: Current strategies result in durable remissions in a significant proportion of NK/T-cell lymphomas. Immune checkpoint inhibition and other novel approaches are promising for relapsed/refractory cases.
Projecting marine species range shifts from only temperature can mask climate vulnerability

Climate change is causing range shifts in many marine species, with implications for biodiversity and fisheries. Previous research has mainly focused on how species' ranges will respond to changing ocean temperatures, without accounting for other environmental covariates that could affect future distribution patterns. Here, we integrate habitat suitability modeling approaches, a high‐resolution global climate model projection, and detailed fishery‐independent and ‐dependent faunal datasets from one of the most extensively monitored marine ecosystems—the U.S. Northeast Shelf. We project the responses of 125 species in this region to climate‐driven changes in multiple oceanographic factors (e.g., ocean temperature, salinity, sea surface height) and seabed characteristics (i.e., rugosity and depth). Comparing model outputs based on ocean temperature and seabed characteristics to those that also incorporated salinity and sea surface height (proxies for primary productivity and ocean circulation features), we explored how an emphasis on ocean temperature in projecting species' range shifts can impact assessments of species' climate vulnerability. We found that multifactor habitat suitability models performed better in explaining and predicting species historical distribution patterns than temperature‐based models. We also found that multifactor models provided more concerning assessments of species' future distribution patterns than temperature‐based models, projecting that species' ranges will largely shift northward and become more contracted and fragmented over time. Our results suggest that using ocean temperature as a primary determinant of range shifts can significantly alter projections, masking species' climate vulnerability, and potentially forestalling proactive management.