Network Analysis of Biomarkers Associated with Occupational Exposure to Benzene and Malathion.

Complex diseases are associated with the effects of multiple genes, proteins, and biological pathways. In this context, the tools of Network Medicine are compatible as a platform to systematically explore not only the molecular complexity of a specific disease but may also lead to the identification of disease modules and pathways. Such an approach enables us to gain a better understanding of how environmental chemical exposures affect the function of human cells, providing better perceptions about the mechanisms involved and helping to monitor/prevent exposure and disease to chemicals such as benzene and malathion. We selected differentially expressed genes for exposure to benzene and malathion. The construction of interaction networks was carried out using GeneMANIA and STRING. Topological properties were calculated using MCODE, BiNGO, and CentiScaPe, and a Benzene network composed of 114 genes and 2415 interactions was obtained. After topological analysis, five networks were identified. In these subnets, the most interconnected nodes were identified as: IL-8, KLF6, KLF4, JUN, SERTAD1, and MT1H. In the Malathion network, composed of 67 proteins and 134 interactions, HRAS and STAT3 were the most interconnected nodes. Path analysis, combined with various types of high-throughput data, reflects biological processes more clearly and comprehensively than analyses involving the evaluation of individual genes. We emphasize the central roles played by several important hub genes obtained by exposure to benzene and malathion.

Antimicrobial effects of a new brushing solution concept on a multispecies in vitro biofilm model growing on titanium surfaces.

OBJECTIVES: To evaluate the antibiofilm and antibacterial effects of a new brushing solution concept, in a validated peri-implant biofilm model. MATERIALS AND METHODS: A multispecies in vitro biofilm model, including Streptococcus oralis, Actinomyces naeslundii, Veillonella parvula, Aggregatibacter actinomycetemcomitans, Porphyromonas gingivalis and Fusobacterium nucleatum, was used. To evaluate the antibiofilm capacity, titanium discs (Ti-SLA) were immersed in 1 ml of the tested solution (one tablet dissolved in warm water) for 2 min, prior and every 24 h during a 3-day biofilm development. Negative (water) and positive (0.12% chlorhexidine/0.05% cetylpyridinium chloride mouth rinse) controls treated discs were run in parallel. To evaluate the antibacterial effects, planktonic cells and 72-h biofilms on sterile Ti-SLA discs were exposed (2 min) to the mentioned treatments. Biofilm structure was analysed by confocal laser scanning microscopy (CLSM) and scanning electron microscopy (SEM). Bacterial load was measured by quantitative polymerase chain reaction and by culture in planktonic cells. RESULTS: The tested product showed antibiofilm effects, impacting on the 48-h and 72-h biofilm thickness and significantly reducing viability of all bacterial species, except A. actinomycetemcomitans. Antibacterial effects were observed against the six bacterial species in planktonic state and in 72-h biofilms, especially for F. nucleatum and A. actinomycetemcomitans. CONCLUSION: The tested brushing solution demonstrated antibacterial and antibiofilm properties, mainly against the peri-implant pathogens included in the validated in vitro biofilm model used.

The Outcomes of Switching from Short- to Long-Term Intravitreal Corticosteroid Implant Therapy in Patients with Diabetic Macular Edema.

BACKGROUND: First-line treatment for diabetic macular edema (DME) is usually with antivascular endothelial growth factor agents, followed by intravitreal corticosteroids as a second-line treatment option. Long-term corticosteroids may offer quality of life and effectiveness benefits over short-term implants. OBJECTIVES: To evaluate outcomes of patients with persistent or recurrent DME who switched from a short-term (dexamethasone) to a long-term (fluocinolone acetonide, FAc) corticosteroid intravitreal implant in a real-world setting. METHODS: This is a retrospective study in 9 Portuguese centers. An FAc intravitreal implant was administered according to product labeling. Effectiveness outcomes were mean change in visual acuity (VA; ETDRS letters), central retinal thickness (CRT; µm), and macular volume (MV; mm3). The safety outcome was mean change in intraocular pressure (IOP; mm Hg). All were analyzed at months 1 and 3, and then quarterly until month 24 after implantation. RESULTS: Forty-four eyes from 36 patients were analyzed. Mean duration of DME was 3.3 ± 1.9 years, and mean follow-up was 8 months. From baseline following FAc implantation, VA increased significantly at months 1 and 6 (mean +6.82 and +13.02 letters, respectively; p = 0.005), and last observation carried forward (LOCF; mean +8.3 letters; p = 0.002). CRT improved significantly at months 1 and 6 (mean -71.81 and -170.77 µm, respectively; p = 0.001), and LOCF (mean -121.46 µm; p = 0.001). MV was consistently, but not significantly, decreased from baseline to LOCF (mean -0.69 mm3; p = 0.062). The mean change in IOP was -0.25 and +0.88 mm Hg at months 1 and 6, respectively (p = 0.268), and +1.86 mm Hg at LOCF (p = 0.036). Increases were controlled with topical medication in most cases. CONCLUSIONS: The FAc intravitreal implant is effective in patients previously treated with short-term corticosteroid implants. Thus, after a suboptimal response to antiangiogenics or a short-term corticosteroid, a single FAc implant may be considered an effective and tolerable treatment that can improve long-term outcomes for patients with sight-threatening DME.

Plant Bugs Predators (Hemiptera: Heteroptera: Miridae) with References to Arthropods and Fungi in Brazil.

The present study demonstrates 30 plant bugs species associated with 50 records of prey and six records of mycophagy for Brazil. The data were compiled from Schuh's Catalog, the literature, specimens deposited in entomology museums and exemplars from different regions of Brazil sent for identification. Some of the data from the literature used did not presented complete information. This study aims to increase the knowledge of the relationships among plant bugs, prey and fungi and emphasize those species with potential for biological control strategies and pest integrated management.

Eating Veggies Is Fun! An Implementation Pilot Study in Partnership With a YMCA in South Los Angeles.

PURPOSE AND OBJECTIVES: Children eat less than recommended amounts of vegetables. Repeated taste exposure can increase children's acceptance of initially disliked vegetables. However, implementation of this strategy is lacking. We conducted a pilot study to assess the feasibility of implementing an evidence-based intervention to promote liking of initially disliked vegetables among children enrolled in a YMCA summer camp. INTERVENTION APPROACH: We adapted a research-tested intervention to promote child liking of vegetables for implementation in small groups. In summer 2015, 50 children aged 7 to 12 years were invited to taste 5 initially disliked vegetables daily for 10 days. EVALUATION METHODS: Children rated how much they liked vegetables on a 5-point emoji-like faces Likert scale at baseline and 2- and 4-week follow-up. The mean ratings for liked and initially disliked vegetables were estimated over time using mixed effects modeling. RESULTS: We achieved excellent participation of parents and children; however, we experienced nonstudy-related attrition caused by disenrollment of some children from the weekly camp program. The average liking increased over time (linear trend, P = .003) for the 5 targeted vegetables but not for the other nontargeted vegetables, as predicted. IMPLICATIONS FOR PUBLIC HEALTH: This pilot study suggests that repeated vegetable tasting opportunities offered by community programs may be a practical strategy for introducing low-income, young children to new or initially disliked vegetables. The study demonstrates the feasibility of implementing a health promotion strategy that has the potential to improve population health in a community setting in an underresourced neighborhood.

Non-adherence to medication regimens among older African-American adults.

BACKGROUND: Despite concerns about racial differences on adherence to prescribed medication rigimens among older adults, current information about nonadherence among underserved elderly African Americans with co-morbidities is limited. This study examines the association between adherence to drug regimens and an array of medication-related factors, including polypharmacy, medication regimen complexity, use of Potentially Inappropriate Medications (PIM), and knowledge about the therapeutic purpose and instructions of medication use. METHODS: Four-hundred African Americans, aged 65 years and older, were recruited from South Los Angeles. Structured, face-to-face interviews and visual inspection of participants' medications were conducted. From the medication container labels, information including strength of the drug, expiration date, instructions, and special warnings were recorded. The Medication Regimen Complexity Index (MRCI) was measured to quantify multiple features of drug regimen complexity. The Beers Criteria was used to measure the PIM use. RESULTS: Participants reported taking an average of 5.7 prescription drugs. Over 56% could not identify the purpose of at least one of their medications. Only two-thirds knew dosage regimen of their medications. Thirty-five percent of participants indicated that they purposely had skipped taking at least one of their medications within last three days. Only 8% of participants admitted that they forgot to take their medications. The results of multivariate analysis showed that co-payment for drugs, memory deficits, MRCI, and medication-related knowledge were all associated with adherence to dosage regimen of medications. Participants with a higher level of knowledge about therapeutic purpose and knowledge about dosage regimen of their medications were seven times (CI: 4.2-10.8) more likely to adhere to frequency and dose of medications. Participants with a low complexity index were two times (CI: 1.1-3.9) more likely to adhere to the dosage regimen of their medications, compared with participants with high drug regimen complexity index. CONCLUSIONS: While other studies have documented that non-adherence remains an important issue among older adults, our study shows that for underserved elderly African Americans, these issues are particularly striking. A periodic comprehensive assessment of all medications that they use remains a critical initial step to identify medication related issues. Assessment of their disease and medication related knowledge (e.g., therapeutic purposes, side-effects, special instructions, etc.) and their ability to follow complicated medication regimens and modification of their drug regimens requires inter-professional collaboration.

Scale insects (Hemiptera: Coccoidea) associated with arabica coffee and geographical distribution in the neotropical region.

Coffee is one of the most important Brazilian agricultural commodities exported, and Minas Gerais and Espírito Santo States are the main coffee producers. Scale insects are important coffee pests, and 73 species of Cerococcidae (3), Coccidae (18), Diaspididae (6), Eriococcidae (1), Ortheziidae (3), Pseudococcidae (21), Putoidae (2) and Rhizoecidae (19) have been associated with roots, branches, leaves, flowers and fruits of Arabica coffee in the Neotropics. Eight species were found associated with Arabica coffee in Minas Gerais and Espírito Santo States in this study, and Coccidae was the most frequent family. Coccus alpinus, Cc. celatus, Cc. lizeri, Cc. viridis, and Saissetia coffeae (Coccidae) were found in both states; Alecanochiton marquesi, Pseudaonidia trilobitiformis (Diaspididae), and Dysmicoccus texensis (Pseudococcidae) were only found in Minas Gerais. Alecanochiton marquesi and P. trilobitiformis are first reported in Minas Gerais, and Cc. alpinus in Espírito Santo, on Arabica coffee. All scale insect species were associated with coffee leaves and branches, except D. texensis, associated with coffee roots. Fourty seven scale insect species have been found occurring in Brazilian Arabica coffee, and in Espírito Santo (28) and Minas Gerais (23). Widespread and geographical distribution of each species found are discussed.

The Portuguese Experience with Ocriplasmin in Clinical Practice.

AIM: Evaluate the real-life experience with ocriplasmin on vitreomacular traction (VMT) release and full-thickness macular hole (FTMH) closure in Portugal. METHODS: Multicentric, retrospective study of 83 eyes of 78 patients who were treated with intravitreal ocriplasmin for VMT with and without FTMH. Primary outcomes were VMT release and FTMH closure. Secondary outcomes included visual acuity changes and structural features on spectral-domain ocular coherence tomography. RESULTS: VMT resolved in 47 of the 83 eyes (56.6%) and 6 of the 12 FTMH were closed (50.0%). Mean best-corrected visual acuity (BCVA) improved from 65.1 at baseline to 70.8 ETDRS letters at the end of follow-up (p < 0.0001) with a mean follow-up of 138.8 days. Improvement in BCVA was significantly better in eyes with VMT release (p = 0.021). Approximately 73% of patients had normal ellipsoid zone integrity at the end of follow-up, 87% had no neurosensorial detachment and 40% had no intra- or subretinal fluid. CONCLUSION: VMT release and FTMH closure were achieved in more than half of the treated eyes and were correlated with significant BCVA improvements and favorable baseline characteristics. In fact, if a careful patient selection is carried out, VMT resolution with ocriplasmin can be optimized, tailoring the best approach to each patient.

NERI: network-medicine based integrative approach for disease gene prioritization by relative importance.

BACKGROUND: Complex diseases are characterized as being polygenic and multifactorial, so this poses a challenge regarding the search for genes related to them. With the advent of high-throughput technologies for genome sequencing, gene expression measurements (transcriptome), and protein-protein interactions, complex diseases have been sistematically investigated. Particularly, Protein-Protein Interaction (PPI) networks have been used to prioritize genes related to complex diseases according to its topological features. However, PPI networks are affected by ascertainment bias, in which more studied proteins tend to have more connections, degrading the results quality. Additionally, methods using only PPI networks can provide only static and non-specific results, since the topologies of these networks are not specific of a given disease. RESULTS: The goal of this work is to develop a methodology that integrates PPI networks with disease specific data sources, such as GWAS and gene expression, to find genes more specific of a given complex disease. After the integration of PPI networks and gene expression data, the resulting network is used to connect genes related to the disease through the shortest paths that have the greatest concordance between their gene expressions. Both case and control expression data are used separately and, at the end, the most altered genes between the two conditions are selected. To evaluate the method, schizophrenia was adopted as case study. CONCLUSION: Results show that the proposed method successfully retrieves differentially coexpressed genes in two conditions, while avoiding the bias from literature. Moreover we were able to achieve a greater concordance in the selection of important genes from different microarray studies of the same disease and to produce a more specific gene set related to the studied disease.

Tools and methodology to in silico phage discovery in freshwater environments.

Freshwater availability is essential, and its maintenance has become an enormous challenge. Due to population growth and climate changes, freshwater sources are becoming scarce, imposing the need for strategies for its reuse. Currently, the constant discharge of waste into water bodies from human activities leads to the dissemination of pathogenic bacteria, negatively impacting water quality from the source to the infrastructure required for treatment, such as the accumulation of biofilms. Current water treatment methods cannot keep pace with bacterial evolution, which increasingly exhibits a profile of multidrug resistance to antibiotics. Furthermore, using more powerful disinfectants may affect the balance of aquatic ecosystems. Therefore, there is a need to explore sustainable ways to control the spreading of pathogenic bacteria. Bacteriophages can infect bacteria and archaea, hijacking their host machinery to favor their replication. They are widely abundant globally and provide a biological alternative to bacterial treatment with antibiotics. In contrast to common disinfectants and antibiotics, bacteriophages are highly specific, minimizing adverse effects on aquatic microbial communities and offering a lower cost-benefit ratio in production compared to antibiotics. However, due to the difficulty involving cultivating and identifying environmental bacteriophages, alternative approaches using NGS metagenomics in combination with some bioinformatic tools can help identify new bacteriophages that can be useful as an alternative treatment against resistant bacteria. In this review, we discuss advances in exploring the virome of freshwater, as well as current applications of bacteriophages in freshwater treatment, along with current challenges and future perspectives.

Alteration of circulating ACE2-network related microRNAs in patients with COVID-19.

Angiotensin converting enzyme 2 (ACE2) serves as the primary receptor for the SARS-CoV-2 virus and has implications for the functioning of the cardiovascular system. Based on our previously published bioinformatic analysis, in this study we aimed to analyze the diagnostic and predictive utility of miRNAs (miR-10b-5p, miR-124-3p, miR-200b-3p, miR-26b-5p, miR-302c-5p) identified as top regulators of ACE2 network with potential to affect cardiomyocytes and cardiovascular system in patients with COVID-19. The expression of miRNAs was determined through qRT-PCR in a cohort of 79 hospitalized COVID-19 patients as well as 32 healthy volunteers. Blood samples and clinical data of COVID-19 patients were collected at admission, 7-days and 21-days after admission. We also performed SHAP analysis of clinical data and miRNAs target predictions and advanced enrichment analyses. Low expression of miR-200b-3p at the seventh day of admission is indicative of predictive value in determining the length of hospital stay and/or the likelihood of mortality, as shown in ROC curve analysis with an AUC of 0.730 and a p-value of 0.002. MiR-26b-5p expression levels in COVID-19 patients were lower at the baseline, 7 and 21-days of admission compared to the healthy controls (P < 0.0001). Similarly, miR-10b-5p expression levels were lower at the baseline and 21-days post admission (P = 0.001). The opposite situation was observed in miR-124-3p and miR-302c-5p. Enrichment analysis showed influence of analyzed miRNAs on IL-2 signaling pathway and multiple cardiovascular diseases through COVID-19-related targets. Moreover, the COVID-19-related genes regulated by miR-200b-3p were linked to T cell protein tyrosine phosphatase and the HIF-1 transcriptional activity in hypoxia. Analysis focused on COVID-19 associated genes showed that all analyzed miRNAs are strongly affecting disease pathways related to CVDs which could be explained by their strong interaction with the ACE2 network.

Gene regulatory networks inference using a multi-GPU exhaustive search algorithm.

BACKGROUND: Gene regulatory networks (GRN) inference is an important bioinformatics problem in which the gene interactions need to be deduced from gene expression data, such as microarray data. Feature selection methods can be applied to this problem. A feature selection technique is composed by two parts: a search algorithm and a criterion function. Among the search algorithms already proposed, there is the exhaustive search where the best feature subset is returned, although its computational complexity is unfeasible in almost all situations. The objective of this work is the development of a low cost parallel solution based on GPU architectures for exhaustive search with a viable cost-benefit. We use CUDA™, a general purpose parallel programming platform that allows the usage of NVIDIA® GPUs to solve complex problems in an efficient way. RESULTS: We developed a parallel algorithm for GRN inference based on multiple GPU cards and obtained encouraging speedups (order of hundreds), when assuming that each target gene has two multivariate predictors. Also, experiments using single and multiple GPUs were performed, indicating that the speedup grows almost linearly with the number of GPUs. CONCLUSION: In this work, we present a proof of principle, showing that it is possible to parallelize the exhaustive search algorithm in GPUs with encouraging results. Although our focus in this paper is on the GRN inference problem, the exhaustive search technique based on GPU developed here can be applied (with minor adaptations) to other combinatorial problems.

Examining O[Formula: see text] adsorption on pristine and defective popgraphene sheets: A DFT study.

CONTEXT: Popgraphene (PopG) is a two-dimensional carbon-based material with fused pentagonal and octagonal rings. Like graphene, it exhibits a metallic band gap and exceptional thermal, dynamic, and mechanical stability. Here, we theoretically study the electronic and structural properties of PopG monolayers, including their doped and vacancy-endowed versions, as O[Formula: see text] adsorbers. Our findings show that pristine and vacancy-endowed PopG sheets have a comparable ability to adsorb O[Formula: see text] molecules, with adsorption energies ranging from [Formula: see text]0.57 to [Formula: see text]0.59 eV (physisorption). In these cases, octagonal rings play a dominant role in the adsorption mechanism. Platinum and Silicon doping enhance the O[Formula: see text] adsorption in areas close to the octagonal rings, resulting in adsorption energies ranging from [Formula: see text]1.13 to [Formula: see text]2.56 eV (chemisorption). Furthermore, we computed the recovery time for the adsorbed O[Formula: see text] molecules. The results suggest that PopG/O[Formula: see text] interaction in pristine and vacancy-endowed cases can change the PopG electronic properties before O[Formula: see text] diffusion. METHODS: Density Functional Theory (DFT) simulations, with Van der Waals corrections (DFT-D, within the Grimme scheme), were performed to study the structural and electronic properties of PopG/O[Formula: see text] systems using the DMol3 code within the Biovia Materials Studio software. The exchange and correlation functions are treated within the generalized gradient approximation (GGA) as parameterized by Perdew-Burke-Ernzerhof (PBE) functional. We used the double-zeta plus polarization (DZP) for the basis set in these cases. We also considered the BSSE correction through the counterpoise method and the nuclei-valence electron interactions by including semi-core DFT pseudopotentials.

Wafer-Scale Graphene Field-Effect Transistor Biosensor Arrays with Monolithic CMOS Readout.

The reliability of analysis is becoming increasingly important as point-of-care diagnostics are transitioning from single-analyte detection toward multiplexed multianalyte detection. Multianalyte detection benefits greatly from complementary metal-oxide semiconductor (CMOS) integrated sensing solutions, offering miniaturized multiplexed sensing arrays with integrated readout electronics and extremely large sensor counts. The development of CMOS back end of line integration compatible graphene field-effect transistor (GFET)-based biosensing has been rapid during the past few years, in terms of both the fabrication scale-up and functionalization toward biorecognition from real sample matrices. The next steps in industrialization relate to improving reliability and require increased statistics. Regarding functionalization toward truly quantitative sensors, on-chip bioassays with improved statistics require sensor arrays with reduced variability in functionalization. Such multiplexed bioassays, whether based on graphene or on other sensitive nanomaterials, are among the most promising technologies for label-free electrical biosensing. As an important step toward that, we report wafer-scale fabrication of CMOS-integrated GFET arrays with high yield and uniformity, designed especially for biosensing applications. We demonstrate the operation of the sensing platform array with 512 GFETs in simultaneous detection for the sodium chloride concentration series. This platform offers a truly statistical approach on GFET-based biosensing and further to quantitative and multianalyte sensing. The reported techniques can also be applied to other fields relying on functionalized GFETs, such as gas or chemical sensing or infrared imaging.

Temperature dependent solid-state proton migration in dimethylurea-oxalic acid complexes.

The phenomenon of solid-state proton migration within molecular complexes containing short hydrogen bonds is investigated in two dimethylurea-oxalic acid complexes. Extensive characterisation by both X-ray and neutron diffraction shows that proton migration along the hydrogen bond can be induced in these complexes as a function of temperature. This emphasises the subtle features of the hydrogen bond potential well in such short hydrogen bonded complexes, both intrinsically and in the effect of the local crystalline environment. Based on these findings, the synthesis and analysis of a series of solid-state molecular complexes is shown to be a potential route to designing materials with tuneable proton migration effects.

A new species of Chryxus Champion, with taxonomic notes on other species of the genus (Hemiptera, Heteroptera, Reduviidae, Chryxinae).

Chryxusgarcetebarretti sp. nov. from Paraguay is described, taxonomical notes on C.bahianus Gil-Santana, Costa & Marques, 2007 and C.tomentosus Champion, 1899 are provided; the latter species is recorded from French Guiana for the first time; a redescription of the genus Chryxus Champion, 1899 and an updated key for the genera and species of Chryxinae are presented.

Green walls with recycled filling media to treat greywater.

The continuous growth of urban areas in the last decades has resulted in an increase in water consumption, contributing to larger volumes of urban and domestic wastewater. Thus, stakeholders have been seeking for efficient alternatives for wastewater management, namely looking for new forms of treatment and reuse. The present work provides new insights on the application of a green wall for greywater treatment, aiming at water reuse and also at contributing to Circular Economy. Two types of recycled materials, crushed tiles and textile fibers, were tested as filling media combined with two plant species. Crushed tiles were mixed with coconut fibers in a 70 %-30 % ratio and textile fibers were used as single media. The tiles+coconut mix with plants performed the best, exhibiting on average removal efficiencies >70 % for Chemical Oxygen Demand (COD) and between 59 %-70 % for Total Suspended Solids (TSS). Fibers systems had on average removal efficiencies around 60 % for COD and 50 % for TSS and clogged at the end of the study. Overall the study demonstrated that green walls for greywater treatment can contribute to circular economy through the use of recycled material as filling media.

Vitamin D3 Repletion Improves Vascular Function, as Measured by Cardiorenal Biomarkers in a High-Risk African American Cohort.

Background: 25-hydroxy vitamin D (Vit D)-deficiency is common among patients with chronic kidney disease (CKD) and contributes to cardiovascular disease (CVD). African Americans (AAs) suffer disproportionately from CKD and CVD, and 80% of AAs are Vit D-deficient. The impact of Vit D repletion on cardio-renal biomarkers in AAs is unknown. We examined Vit D repletion on full-length osteopontin (flOPN), c-terminal fibroblast growth factor-23 (FGF-23), and plasminogen activator inhibitor-1 (PAI-1), which are implicated in vascular and kidney pathology. Methods: We performed a randomized, placebo-controlled study of high-risk AAs with Vit D deficiency, treated with 100,000 IU Vit D3 (cholecalciferol; n = 65) or placebo (n = 65) every 4 weeks for 12 weeks. We measured kidney function (CKD-EPI eGFR), protein-to-creatinine ratio, vascular function (pulse wave velocity; PWV), augmentation index, waist circumference, sitting, and 24-h-ambulatory blood pressure (BP), intact parathyroid hormone (iPTH) and serum calcium at baseline and study end, and compared Vit D levels with laboratory variables. We quantified plasma FGF-23, PAI-1, and flOPN by enzyme-linked immunosorbent assay. Multiple regression analyzed the relationship between log flOPN, FGF-23, and PAI-1 with vascular and renal risk factors. Results: Compared to placebo, Vit D3 repletion increased Vit D3 2-fold (p < 0.0001), decreased iPTH by 12% (p < 0.01) and was significantly correlated with PWV (p < 0.009). Log flOPN decreased (p = 0.03), log FGF-23 increased (p = 0.04), but log PAI-1 did not change. Multiple regression indicated association between log flOPN and PWV (p = 0.04) and diastolic BP (p = 0.02), while log FGF-23 was associated with diastolic BP (p = 0.05), and a trend with eGFR (p = 0.06). Conclusion: Vit D3 repletion may reduce flOPN and improve vascular function in high risk AAs with Vit D deficiency.

Effects of Reticulated Hyaluronic Acid Alone or Associated With Whole-Body Vibration in Dogs With Osteoarthritis Due to Hip Dysplasia.

This study aimed to evaluate the effects of reticulated hyaluronic acid (HA) alone or associated with whole-body vibration (WBV) in dogs with osteoarthritis due to hip dysplasia. Fourteen dogs were randomized assigned into 2 groups of 7 animals: Group 1 (G1) - single intra-articular injection of hyaluronic acid; Group 2 (G2) - single intra-articular injection of hyaluronic acid associated with WBV sessions. The affected hip joint received 0.70 mL of reticulated HA guided by ultrasound. Dogs were submitted to a single session of WBV (30 and 50 Hz, for 15 min) every 48 hours for 12 weeks. Dogs were evaluated for morphometric measurements; orthopedic, radiographic and lameness scores of the hip joints; kinetic analysis; and ultrassonographic measurement of the following muscles: middle gluteal, vastus lateralis and biceps femoris. The morphometric measurements, lameness scores, and muscle measurements were conducted at 10 minutes before treatments (TP0), and at days 30 (TP30), 60 (TP60) and 90 (TP90) after treatments. The orthopedic and radiographic scores and kinetic analysis were performed at TP0 and TP90. The scores of lameness showed a statistical decrease in G1 and G2 between time-points. Significant decreases (P = .01) were observed in orthopedic scores in both groups between time-points. The Peak Vertical Force between TP0 and TP90 was significantly higher in G2 (P = .01). Vertical Impulse was null in G1 and positive in G2. Dogs treated with single intra-articular injection of hyaluronic acid alone and associated with WBV had beneficial effects in dogs with osteoarthritis due to hip dysplasia, however the association of viscosupplementation with hyaluronic acid and WBV had an earlier improvement clinical outcome and allowed better kinetic results.

First report of Microtriatoma borbai Lent & Wygodzinsky, 1979 (Hemiptera, Reduviidae, Triatominae) in the state of Espírito Santo, Brazil: would M. borbai be living in eucalyptus crops?

INTRODUCTION: The occurrence of Microtriatoma borbai in the state of Espírito Santo, Brazil is reported by the first time. METHODS: A triatomine specimen collected in a hybrid eucalyptus crop in the municipality of Aracruz, Espírito Santo state was found to be a male M. borbai. RESULTS: This finding expands the geographical distribution of M. borbai from four to five Brazilian states. It is the first report of M. borbai occurrence inside a eucalyptus crop. CONCLUSIONS: The occurrence of M. borbai in the state of Espírito Santo broadens the geographical distribution of this species in southeastern Brazil.