Additional file 1 of Association between environmental factors and dengue incidence in Lao People’s Democratic Republic: a nationwide time-series study

Additional file 1

Additional file 1: Figure S1. of The novel RAGE interactor PRAK is associated with autophagy signaling in Alzheimer’s disease pathogenesis

Interaction between endogenous PRAK and RAGE. SH-SY5Y cell lysates were immunoprecipitated with RAGE antibody or normal IgG antibody. Western blot analysis performed with the indicated antibodies. (TIFF 308 kb

Low-Voltage Flexible Organic Electronics Based on High-Performance Sol–Gel Titanium Dioxide Dielectric

In this letter, we report that high-performance insulating films can be generated by judicious control over the microstructure of sol–gel-processed titanium dioxide (TiO₂) films, typically known as wide-bandgap semiconductors. The resultant device made of 23 nm-thick TiO₂ dielectric layer exhibits a low leakage current density of ∼1 × 10^–7 A cm^–2 at 2 V and a large areal capacitance of 560 nF cm^–2 with the corresponding dielectric constant of 27. Finally, low-voltage flexible organic thin-film transistors were successfully demonstrated by incorporating this versatile solution-processed oxide dielectric material into pentacene transistors on polyimide substrates

Targeted Deep Resequencing Identifies Coding Variants in the <i>PEAR1</i> Gene That Play a Role in Platelet Aggregation

<div><p>Platelet aggregation is heritable, and genome-wide association studies have detected strong associations with a common intronic variant of the platelet endothelial aggregation receptor1 (<i>PEAR1</i>) gene both in African American and European American individuals. In this study, we used a sequencing approach to identify additional exonic variants in <i>PEAR1</i> that may also determine variability in platelet aggregation in the GeneSTAR Study. A 0.3 Mb targeted region on chromosome 1q23.1 including the entire <i>PEAR1</i> gene was Sanger sequenced in 104 subjects (45% male, 49% African American, age = 52±13) selected on the basis of hyper- and hypo- aggregation across three different agonists (collagen, epinephrine, and adenosine diphosphate). Single-variant and multi-variant burden tests for association were performed. Of the 235 variants identified through sequencing, 61 were novel, and three of these were missense variants. More rare variants (MAF<5%) were noted in African Americans compared to European Americans (108 vs. 45). The common intronic GWAS-identified variant (rs12041331) demonstrated the most significant association signal in African Americans (p = 4.020×10⁻⁴); no association was seen for additional exonic variants in this group. In contrast, multi-variant burden tests indicated that exonic variants play a more significant role in European Americans (p = 0.0099 for the collective coding variants compared to p = 0.0565 for intronic variant rs12041331). Imputation of the individual exonic variants in the rest of the GeneSTAR European American cohort (N = 1,965) supports the results noted in the sequenced discovery sample: p = 3.56×10⁻⁴, 2.27×10⁻⁷, 5.20×10⁻⁵ for coding synonymous variant rs56260937 and collagen, epinephrine and adenosine diphosphate induced platelet aggregation, respectively. Sequencing approaches confirm that a common intronic variant has the strongest association with platelet aggregation in African Americans, and show that exonic variants play an additional role in platelet aggregation in European Americans.</p></div

Additional file 1: Table S1. of Associations between malaria and local and global climate variability in five regions in Papua New Guinea

The periods of time for the respective local weather and global climate models for each study locations. Table S2: The crude Pearson’s correlations among malaria cases and local weather factors during the study period at each study location. Figure S1: Cross-correlations for malaria cases and local weather factors. Cross-correlations identify the lagged relationships. The correlograms shows the correlations between malaria cases at time t and local weather at lag time t + k (i.e., k is a lag). Figure S2: Cross-correlations for malaria cases and global climate factors. The associations between malaria cases at time t and global climate indices at time t + k (i.e., lag). Figure S3: Time series plots for malaria cases, precipitation, and minimum temperature in each region during the study period. Figure S4: Correlation, histogram, and plot matrix for EMII, NINO3.4 Anomaly, DMI and SAM during 1997 – 2008. (PDF 1057 kb

Summary statistics of the weekly number of leptospirosis cases admitted to San Lazaro Hospital in Manila, the Philippines in 2001–2012.

<p>Summary statistics of the weekly number of leptospirosis cases admitted to San Lazaro Hospital in Manila, the Philippines in 2001–2012.</p

The relationship between flood occurrence and leptospirosis at lags 0 to 7 weeks.

<p>The relationship between flood occurrence and leptospirosis at lags 0 to 7 weeks.</p

Weekly number of admitted leptospirosis cases, cumulative rainfall, mean temperature and flood events.

<p>(upper panel) Time series of the number of leptospirosis cases per week admitted to San Lazaro Hospital. (lower panel) Weekly cumulative rainfall (mm) (vertical bars), weekly mean temperature (°C) (solid line) and flood events (tick marks at the top).</p

Assumed causal relationships among rainfall, flood and leptospirosis and other environmental factors.

<p>Assumed causal relationships among rainfall, flood and leptospirosis and other environmental factors.</p

Lagged relationships between rainfall and leptospirosis.

<p>(A) Mean fitted relative risk surface over lag and weekly rainfall (flood-unadjusted model), (B) Cross-sectional plots of Fig 3(A) at constant lag / rainfall values with relative risk (RR) (solid red line) and 95% CIs (gray area) and (C) Cross-sectional plots at constant lag / rainfall values (flood-adjusted model) with relative risk (RR) (dotted blue line) and 95% CIs (gray area).</p