On international cost-sharing of pharmaceutical R&D

Ramsey pricing has been proposed in the pharmaceutical industry as a principle to price discriminate among markets while allowing to recover the (fixed) R&D cost. However, such analyses neglect the presence of insurance or the fund raising costs for most of drug reimbursement. By incorporating these new elements, we aim at providing some building blocks towards an economic theory incorporating Ramsey pricing and insurance coverage. We show how coinsurance affects the optimal prices to pay for the R&D investment. We also show that under certain conditions, there is no strategic incentive by governments to set coinsurance rates in order to shift the financial burden of R&D. This will have important implications to the application of Ramsey pricing principles to pharmaceutical products across countries.

Influence of the deposition pressure on the properties of transparent and conductive ZnO: Ga thin-film produced by r.f. sputtering at room temperature

Thin Solid Films, vol. 427, nº 1-2

Social network analysis applied to knowledge creation and transfer in the portuguese agricultural R&D field: an exploratory study

Paper presented at the 9th European Conference on Knowledge Management, Southampton Solent University, Southampton, UK, 4-5 Sep. 2008. URL: http://academic-conferences.org/eckm/eckm2008/eckm08-home.htm

La cuirasse ferrugineuse conglomératique de Cabatuquila (Malanje - R. P. d'Angola) et sa signification paléogéographique

Cabatuquila conglomerate ferricrete (Malanje Province, located North Central Angola) corresponds to a thick (1O-15m) and hardcornice at the top of "Baixa de Cassanje" escarpment. "Baixa de Cassanje" is a large graben part of South Congo basin. Cabatuquila conglomerate ferricrete seems to correspond to a Plio-Pleistocene morphology which has already disappeared. Laterization dynamics and ferricrete formation processes took place on the Tertiary surface, before being tilted to the Congo Basin. Materials submitted to these processes are mainly alluvial deposits from a pre-Cuanza drainage system. This drainage system flowed to the North before being captured to the Atlantic, as a consequence of the movement which deformed the Tertiary surface during the Pleistocene. The erosion dynamics, which created the Cassanje depression, has occurred after the late Tertiary surface deformation. That dynamics might be related to the Cuango drainage system, which was reorganized after that deformation.

The role of ribonuclease R in bacterial adaptation to cold shock

RESUMO:Os microrganismos reagem à súbita descida de temperatura através de uma resposta adaptativa específica que assegura a sua sobrevivência em condições desfavoráveis. Esta adaptação inclui alterações na composição da membrana, na maquinaria de tradução e transcrição. A resposta ao choque térmico pelo frio induz uma repressão da transcrição. No entanto, a descida de temperatura induz a produção de um grupo de proteínas específicas que ajudam a ajustar/re-ajustar o metabolismo celular às novas condições ambientais. Em E. coli o processo de adaptação demora apenas quatro horas, no qual um grupo de proteínas específicas são induzidas. Depois desde período recomeça lentamente a produção de proteínas.A ribonuclease R, uma das proteínas induzidas durante o choque térmico pelo frio, é uma das principais ribonucleases em E. coli envolvidas na degradação do RNA. É uma exoribonuclease que degrada RNA de cadeia dupla, possui funções importantes na maturação e “turnover” do RNA, libertação de ribossomas e controlo de qualidade de proteínas e RNAs. O nível celular desta enzima aumenta até dez vezes após exposição ao frio e estabiliza em células na fase estacionária. A capacidade de degradar RNA de dupla cadeia é importante a baixas temperaturas quando as estruturas de RNA estão mais estáveis. No entanto, este mecanismo é desconhecido. Embora a resposta específica ao “cold shock” tenha sido descoberta há mais de duas décadas e o número de proteínas envolvidas sugerirem que esta adaptação é rápida e simples, continuamos longe de compreender este processo. No nosso trabalho pretendemos descobrir proteínas que interactuem com a RNase R em condições ambientais diferentes através do método “TAP-tag” e espectrometria de massa. A informação obtida pode ser utilizada para deduzir algumas das novas funções da RNase R durante a adaptação bacteriana ao frio e durante a fase estacionária. Mais importante ainda, RNase R poderá ser recrutada para um complexo de proteínas de elevado peso molecular durante o “cold-shock”.------------ABSTRACT:Microorganisms react to the rapid temperature downshift with a specific adaptative response that ensures their survival in unfavorable conditions. Adaptation includes changes in membrane composition, in translation and transcription machinery. Cold shock response leads to overall repression of translation. However, temperature downshift induces production of a set of specific proteins that help to tune cell metabolism and readjust it to the new environmental conditions. For Escherichia coli the adaptation process takes only about four hours with a relatively small set of specifically induced proteins involved. After this time, protein production resumes, although at a slower rate. One of the cold inducible proteins is RNase R, one of the main E. coli ribonucleases involved in RNA degradation. RNase R is an exoribonuclease that digest double stranded RNA, serves important functions in RNA maturation and turnover, release of stalled ribosomes by trans-translation, and RNA and protein quality control. The level of this enzyme increases about ten-fold after cold induction, and it is also stabilised in cells growing in stationary phase. The RNase R ability to digest structured RNA is important at low temperatures where RNA structures are stabilized but the exact role of this mechanism remains unclear. Although specific bacterial cold shock response was discovered over two decades ago and the number of proteins involved suggests that this adaptation is fast and simple, we are still far from understanding this process. In our work we aimed to discover the proteins interacting with RNase R in different environmental conditions using TAP tag method and mass spectrometry analysis. The information obtained can be used to deduce some of the new functions of RNase R during adaptation of bacteria to cold and in stationary growth phase. Most importantly RNase R can be recruited into a high molecular mass complex of protein in cold shock.

Fluxus: do texto à acção. A cartografia de uma a(r)titude

Trabalho de Projecto em Ciências da Comunicação, variante Cultura Contemporânea e Novas Tecnologias

Marcadores inflamatórios de instabilidade da placa aterosclerótica coronária : caraterização e potencial utilização clínica

RESUMO:Introdução: Reviu-se o conhecimento epidemiológico, fisiopatológico e clínico atual sobre a doença coronária, da sua génese até ao evento agudo, o Enfarte Agudo do Miocárdio (EAM). Valorizou-se, em especial, a teoria inflamatória da aterosclerose, que foi objeto de grandes desenvolvimentos na última década. Marcadores de instabilidade da placa aterosclerótica coronária: Aprofundou-se o conhecimento da placa aterosclerótica coronária instável. Descreveram-se detalhadamente os biomarcadores clínicos e laboratoriais associados à instabilidade da placa, com particular ênfase nos mecanismos inflamatórios. Objetivos:Estão divididos em dois pontos fundamentais:(1) Estudar em doentes com EAM a relação existente entre as moléculas inflamatórias: Interleucina-6 (IL-6), Fator de Necrose Tumoral-α (TNF-α) e Metaloproteinase de Matriz-3 (MMP3), não usados em contexto clínico, com um marcador inflamatório já em uso clínico: a Proteína C-Reativa ultrassensível (hs-CRP). Avaliar a relação de todas as moléculas inflamatórias com um biomarcador de lesão miocárdica: a Troponina Cardíaca I (cTnI). (2) Avaliar, no mesmo contexto de EAM, a Resposta de Fase Aguda (RFA) . Pretende-se demonstrar o impacto deste fenómeno, com repercussão clínica generalizada, no perfil lipídico e nos biomarcadores inflamatórios dos doentes. Métodos:(1) Estudo observacional prospetivo de doentes admitidos consecutivamente por EAM (grupo EAM) numa única unidade coronária, após exclusão de trauma ou infeção. Doseamento no sangue periférico, na admissão, de IL-6, TNF-α, MMP3, hs-CRP e cTnI. Este último biomarcador foi valorizado também nos valores séricos obtidos 6-9 horas depois. Procedeu-se a correlação linear (coeficiente de Pearson, de Rho-Spearman e determinação do R2) entre os 3 marcadores estudados com os valores de hs-CRP e de cTnI (valores da admissão e 6 a 9 horas após). Efetuou-se o cálculo dos coeficientes de regressão linear múltipla entre cTnI da admissão e cTnI 6-9h após, com o conjunto dos fatores inflamatórios estudados. (2) Estudo caso-controlo entre o grupo EAM e uma população aleatória de doentes seguidos em consulta de cardiologia, após exclusão de eventos cardiovasculares de qualquer território (grupo controlo) e também sem infeção ou trauma. Foram doseados os mesmos marcadores inflamatórios no grupo controlo e no grupo EAM. Nos dois grupos dosearam-se, ainda, as lipoproteínas: Colesterol total (CT), Colesterol HDL (HDLc), com as suas subfrações 2 e 3 (HDL 2 e HDL3), Colesterol LDL oxidado (LDLox),Triglicéridos (TG), Lipoproteína (a) [Lp(a)], Apolipoproteína A1 (ApoA1), Apolipoproteína B (ApoB) e Apolipoproteína E (ApoE). Definiram-se, em cada grupo, os dados demográficos, fatores de risco clássicos, terapêutica cardiovascular e o uso de anti-inflamatórios. Procedeu-se a análise multivariada em relação aos dados demográficos, fatores de risco e à terapêutica basal. Compararam-se as distribuições destas mesmas caraterísticas entre os dois grupos, assim como os valores séricos respetivos para as lipoproteínas estudadas. Procedeu-se à correlação entre as moléculas inflamatórias e as lipoproteínas, para todos os doentes estudados. Encontraram-se os coeficientes de regressão linear múltipla entre cada marcador inflamatório e o conjunto das moléculas lipídicas, por grupo. Finalmente, efetuou-se a comparação estatística entre os marcadores inflamatórios do grupo controlo e os marcadores inflamatórios do grupo EAM. Resultados: (1) Correlações encontradas, respetivamente, Pearson, Rho-Spearman e regressão-R2: IL-6/hs-CRP 0,549, p<0,001; 0,429, p=0,001; 0,302, p<0,001; MMP 3/hsCRP 0,325, p=0,014; 0,171, p=0,202; 0,106, p=0,014; TNF-α/hs-CRP 0,261, p=0,050; 0,315, p=0,017; 0,068, p=0.050; IL-6/cTnI admissão 0,486, p<0,001; 0,483, p<0,001; 0,236, p<0,001; MMP3/cTnI admissão 0,218, p=0,103; 0,146, p=0,278; 0,048, p=0,103; TNF-α/cTnI admissão 0,444, p=0,001; 0,380, p=0,004; 0,197, p=0,001; IL-6/cTnI 6-9h 0,676, p<0,001; 0,623, p<0,001; 0,456, p<0,01; MMP3/cTnI 6-9h 0,524, p=0,001; 0,149, p=0,270; 0,275, p<0,001; TNF-α/cTnI 6-9h 0,428, p=0,001, 0,452, p<0,001, 0,183, p<0,001. A regressão linear múltipla cTnI admissão/marcadores inflamatórios produziu: (R=0,638, R2=0,407) p<0,001 e cTnI 6-9h/marcadores inflamatórios (R=0,780, R2=0,609) p<0,001. (2) Significância da análise multivariada para idade (p=0,029), IMC>30 (p=0.070), AAS (p=0,040) e grupo (p=0,002). Diferenças importantes entre as distribuições dos dados basais entre os dois grupos (grupo controlo vs EAM): idade (47,95±11,55 vs 68,53±2,70 anos) p<0.001; sexo feminino (18,18 vs 22,80%) p=0,076; diabetes mellitus (9,09% vs 36,84%) p=0,012; AAS (18,18 vs 66,66%) p<0,001; clopidogrel (4,54% vs 66,66%) p=0,033; estatinas (31,81% vs 66,14%) p=0,078; beta-bloqueadores (18,18% vs 56,14%) p=0,011; anti-inflamatórios (4,54% vs 33,33%) p=0,009. Resultados da comparação entre os dois grupos quanto ao padrão lipídico (média±dp ou mediana/intervalo interquartil, grupo controlo vs EAM): CT (208,45±35,03 vs 171,05±41,63 mg/dl) p<0,001; HDLc (51,50/18,25 vs 42,00/16,00 mg/dl) p=0,007; HDL2 (8,50/3,25 vs 10,00/6,00 mg/dl) p=0,292; HDL3 (41,75±9,82 vs 31,75±9,41 mg/dl) p<0,001; LDLox (70,00/22,0 vs 43,50/21,00 U/L) p<0,001; TG (120,00/112,50 vs 107,00/86,00 mg/dl) p=0,527; Lp(a) (0,51/0,73 vs 0,51/0,50 g/L) p=0,854; ApoA1 (1,38±0,63 vs 1,19±0,21 g/L) p=0,002; ApoB (0,96±0,19 vs 0,78±0,28 g/L) p=0,004; ApoE (38,50/10,00 vs 38,00/17,00 mg/L) p=0,574. Nas correlações lineares entre as variáveis inflamatórias e as variáveis lipídicas para todos os doentes, encontrámos uma relação negativa entre IL-6 e CT, HDLc, HDL3, LDLox, ApoA1 e ApoB. A regressão múltipla marcadores inflamatórios/perfil lipídico (grupo controlo) foi: hs-CRP (R=0,883, R2=0,780) p=0,022; IL-6 (R=0,911, R2=0,830) p=0,007; MMP3 (R=0,498, R2=0,248) p=0,943; TNF-α (R=0,680, R2=0,462) p=0,524. A regressão múltipla marcadores inflamatórios/perfil lipídico (grupo EAM) foi: hs-CRP (R=0,647, R2=0,418) p=0,004; IL-6 (R=0,544, R2=0,300), p=0,073; MMP3 (R=0,539, R2=0,290) p=0,089; TNF-α (R=0,595; R2=0,354) p=0,022. Da comparação entre os marcadores inflamatórios dos dois grupos resultou (mediana/intervalo interquartil, grupo controlo vs EAM): hs-CRP (0,19/0,27 vs 0,42/2,53 mg/dl) p=0,001, IL-6 (4,90/5,48 vs 13,07/26,41 pg/ml) p<0,001, MMP3 (19,70/13,70 vs 10,10/10,40 ng/ml) p<0,001;TNF-α (8,67/6,71 vs 8,26/7,80 pg/dl) p=0,805. Conclusões: (1) Nos doentes com EAM, existe correlação entre as moléculas inflamatórias IL-6, MMP3 e TNF-α, quer com o marcador inflamatório hs-CRP, quer com o marcador de lesão miocárdica cTnI. Esta correlação reforça-se para os valores de cTnI 6-9 horas após admissão, especialmente na correlação múltipla com o grupo dos quatro marcadores inflamatórios. (2) IL-6 está inversamente ligada às lipoproteínas de colesterol; hs-CRP e IL-6 têm excelentes correlações com o perfil lipídico valorizado no seu conjunto. No grupo EAM encontram-se níveis séricos mais reduzidos para as lipoproteínas de colesterol. Para TNF-α não foram encontradas diferenças significativas entre os grupos, as quais foram observadas para a IL-6 e hs-CRP (mais elevadas no grupo EAM). Os valores de MMP3 no grupo controlo estão mais elevados. ABSTRACT: 0,524, p=0,001; 0,149, p=0,270; 0,275, p<0,001; TNF-α/cTnI 6-9h 0,428, p=0,001, 0,452, p<0,001, 0,183, p<0,001. A regressão linear múltipla cTnI admissão/marcadores inflamatórios produziu: (R=0,638, R2=0,407) p<0,001 e cTnI 6-9h/marcadores inflamatórios (R=0,780, R2=0,609) p<0,001. (2) Significância da análise multivariada para idade (p=0,029), IMC>30 (p=0.070), AAS (p=0,040) e grupo (p=0,002). Diferenças importantes entre as distribuições dos dados basais entre os dois grupos (grupo controlo vs EAM): idade (47,95±11,55 vs 68,53±2,70 anos) p<0.001; sexo feminino (18,18 vs 22,80%) p=0,076; diabetes mellitus (9,09% vs 36,84%) p=0,012; AAS (18,18 vs 66,66%) p<0,001; clopidogrel (4,54% vs 66,66%) p=0,033; estatinas (31,81% vs 66,14%) p=0,078; beta-bloqueadores (18,18% vs 56,14%) p=0,011; anti-inflamatórios (4,54% vs 33,33%) p=0,009. Resultados da comparação entre os dois grupos quanto ao padrão lipídico (média±dp ou mediana/intervalo interquartil, grupo controlo vs EAM): CT (208,45±35,03 vs 171,05±41,63 mg/dl) p<0,001; HDLc (51,50/18,25 vs 42,00/16,00 mg/dl) p=0,007; HDL2 (8,50/3,25 vs 10,00/6,00 mg/dl) p=0,292; HDL3 (41,75±9,82 vs 31,75±9,41 mg/dl) p<0,001; LDLox (70,00/22,0 vs 43,50/21,00 U/L) p<0,001; TG (120,00/112,50 vs 107,00/86,00 mg/dl) p=0,527; Lp(a) (0,51/0,73 vs 0,51/0,50 g/L) p=0,854; ApoA1 (1,38±0,63 vs 1,19±0,21 g/L) p=0,002; ApoB (0,96±0,19 vs 0,78±0,28 g/L) p=0,004; ApoE (38,50/10,00 vs 38,00/17,00 mg/L) p=0,574. Nas correlações lineares entre as variáveis inflamatórias e as variáveis lipídicas para todos os doentes, encontrámos uma relação negativa entre IL-6 e CT, HDLc, HDL3, LDLox, ApoA1 e ApoB. A regressão múltipla marcadores inflamatórios/perfil lipídico (grupo controlo) foi: hs-CRP (R=0,883, R2=0,780) p=0,022; IL-6 (R=0,911, R2=0,830) p=0,007; MMP3 (R=0,498, R2=0,248) p=0,943; TNF-α (R=0,680, R2=0,462) p=0,524. A regressão múltipla marcadores inflamatórios/perfil lipídico (grupo EAM) foi: hs-CRP (R=0,647, R2=0,418) p=0,004; IL-6 (R=0,544, R2=0,300), p=0,073; MMP3 (R=0,539, R2=0,290) p=0,089; TNF-α (R=0,595; R2=0,354) p=0,022. Da comparação entre os marcadores inflamatórios dos dois grupos resultou (mediana/intervalo interquartil, grupo controlo vs EAM): hs-CRP (0,19/0,27 vs 0,42/2,53 mg/dl) p=0,001, IL-6 (4,90/5,48 vs 13,07/26,41 pg/ml) p<0,001, MMP3 (19,70/13,70 vs 10,10/10,40 ng/ml) p<0,001;TNF-α (8,67/6,71 vs 8,26/7,80 pg/dl) p=0,805. Conclusões: (1) Nos doentes com EAM, existe correlação entre as moléculas inflamatórias IL-6, MMP3 e TNF-α, quer com o marcador inflamatório hs-CRP, quer com o marcador de lesão miocárdica cTnI. Esta correlação reforça-se para os valores de cTnI 6-9 horas após admissão, especialmente na correlação múltipla com o grupo dos quatro marcadores inflamatórios. (2) IL-6 está inversamente ligada às lipoproteínas de colesterol; hs-CRP e IL-6 têm excelentes correlações com o perfil lipídico valorizado no seu conjunto. No grupo EAM encontram-se níveis séricos mais reduzidos para as lipoproteínas de colesterol. Para TNF-α não foram encontradas diferenças significativas entre os grupos, as quais foram observadas para a IL-6 e hs-CRP (mais elevadas no grupo EAM). Os valores de MMP3 no grupo controlo estão mais elevados. ------------- ABSTRACT: Introduction: We reviewed the epidemiology, pathophysiology and current clinical knowledge about coronary heart disease, from its genesis to the acute myocardial infarction (AMI). The inflammatory theory for atherosclerosis, which has undergone considerable development in the last decade, was especially detailed. Markers of coronary atherosclerotic vulnerable plaque: The clinical and laboratory biomarkers associated with the unstable coronary atherosclerotic plaque vulnerable plaque are detailed. An emphasis was placed on the inflammatory mechanisms. Objectives: They are divided into two fundamental points: (1) To study in AMI patients, the relationship between the inflammatory molecules: Interleukin-6 (IL-6), Tumor Necrosis Factor-α (TNF-α) and Matrix metalloproteinase-3 (MMP3), unused in the clinical setting, with an inflammatory marker in clinical use: ultrasensitive C-reactive protein (hs-CRP), as well as a biomarker of myocardial injury: cardiac troponin I (cTnI). (2) To study, in the context of AMI, the Acute Phase Response (APR). We intend to demonstrate the impact of that clinical relevant phenomenon in the lipid profile and inflammatory biomarkers of our patients. Methods: (1) Prospective observational study of patients consecutively admitted for AMI (AMI group) in a single coronary care unit, after exclusion of trauma or infection. A peripheral assay at admission for IL-6, TNF-α, MMP3, hs-CRP and cTnI was performed. The latter was also valued in assays obtained 6-9 hours after admission. Linear correlation (Pearson's correlation coefficient, Spearman Rho's correlation coefficient and R2 regression) was performed between the three markers studied and the values of hs-CRP and cTnI (on admission and 6-9 hours after admission). Multiple linear regression was also obtained between cTnI on admission and 6-9h after, with all the inflammatory markers studied. (2) Case-control study between the AMI group and a random population of patients from an outpatient cardiology setting (control group). Cardiovascular events of any kind and infection or trauma were excluded in this group. The same inflammatory molecules were assayed in control and AMI groups. The following lipoproteins were also assayed: total cholesterol (TC), HDL cholesterol (HDLc) and subfractions 2 and 3 (HDL2 and HDL 3), oxidized LDL cholesterol (oxLDL), Triglycerides (TG), Lipoprotein (a) [Lp(a)], Apolipoprotein A1 (apoA1), Apolipoprotein B (ApoB) and Apolipoprotein E (ApoE). Demographics, classical risk factors, cardiovascular therapy and the use of anti-inflammatory drugs were appreciated in each group. The authors conducted a multivariate analysis with respect to demographics, risk factors and baseline therapy. The distribution of the same baseline characteristics was compared between the two groups, as well as the lipoprotein serum values. A correlation was performed between each inflammatory molecule and each of the lipoproteins, for all the patients studied. Multiple linear regression was determined between each inflammatory marker and all the lipid molecules per group. Finally, the statistical comparison between the inflammatory markers in the two groups was performed. Results: (1) The correlation coefficients recorded, respectively, Pearson, Spearman's Rho and regression-R2, were: IL-6/hs-CRP 0.549, p <0.001; 0.429, p=0.001; 0.302, p <0.001; MMP 3/hsCRP 0.325, p=0.014; 0.171, p=0.202; 0.106, p=0.014; TNF-α/hs-CRP 0.261, p=0.050; 0.315, p=0.017; 0.068, p=0.050; IL-6/admission cTnI 0.486, p<0.001; 0.483, p<0.001; 0.236, p<0.001; MMP3/admission cTnI 0.218, p=0.103; 0.146, p=0.278; 0.048, p=0.103; TNF-α/admission cTnI 0.444, p=0.001; 0.380, p=0.004; 0.197, p=0.001; IL-6/6-9 h cTnI 0.676, p<0.001; 0.149, p<0.001; 0.456, p <0.01; MMP3/6-9h cTnI 0.428, p=0.001; 0.149, p<0.001; 0.183, p=0.001; TNF-α/6-9 h cTnI 0.676, p<0,001; 0.452, p<0.001; 0.183, p<0,001. The multiple linear regression admission cTnI/inflammatory markers produced: (R=0.638, R2=0.407) p<0.001 and 6-9 h cTnI/inflammatory markers (R=0.780, R2=0.609) p<0.001. (2) Significances of the multivariate analysis were found for age (p=0.029), IMC>30 (p=0.070), Aspirin (p=0.040) and group (p=0.002). Important differences between the baseline data of the two groups (control group vs AMI): age (47.95 ± 11.55 vs 68.53±12.70 years) p<0.001; gender (18.18 vs 22.80%) p=0.076; diabetes mellitus (9.09% vs 36. 84%) p=0.012; Aspirin (18.18 vs. 66.66%) p<0.001; Clopidogrel (4, 54% vs 66.66%) p=0.033; Statins, 31.81% vs 66.14%, p=0.078, beta-blockers 18.18% vs 56.14%, p=0.011; anti-inflammatory drugs (4.54% vs 33.33%) p=0.009. Significant differences in the lipid pattern of the two groups (mean±SD or median/interquartile range, control group vs AMI): TC (208.45±35.03 vs 171.05±41.63 mg/dl) p<0.001; HDLc (51.50/18.25 vs 42.00/16.00 mg/dl) p=0.007; HDL2 (8.50/3.25 vs 10.00/6.00 mg/dl) p=0.292; HDL3 (41.75±9.82 vs 31.75±9.82 mg/dl) p<0.01; oxLDL (70.00/22.0 vs 43.50/21.00 U/L) p <0.001; TG (120.00/112.50 vs 107.00/86.00 mg/dl) p=0.527; Lp(a) (0.51/0.73 vs 0,51/0.50 g/L) p=0.854; apoA1 (1.38±0.63 vs 1.19±0.21 g/L) p=0.002; ApoB (0.96± 0.39 vs 0.78±0.28 g/L) p=0.004; ApoE (38.50/10,00 vs 38.00 /17,00 mg/L) p=0.574. In the linear correlations between inflammatory variables and lipid variables for all patients, we found a negative relationship between IL-6 and TC, HDLc, HDL3, ApoA1 and ApoB. The multiple linear regression inflammatory markers/lipid profile (control group) was: hs-CRP (R= 0.883, R2=0.780) p=0.022; IL6 (R=0.911, R2=0.830) p=0.007; MMP3 (R=0.498, R2=0.248) p=0.943; TNF-α (R=0.680, R2=0.462) p=0.524. For the linear regression inflammatory markers/lipid profile (AMI group) we found: hs-CRP (R=0.647, R2=0.418) p=0.004; IL-6 (R=0.544, R2=0.300) p=0.073; MMP3 (R=0.539, R2 =0.290) p=0.089; TNF-α (R=0.595, R2=0.354) p=0.022. The comparison between inflammatory markers in both groups (median/interquartile range, control group vs AMI) resulted as: hs-CRP (0.19/0.27 vs 0.42/2.53 mg/dl) p=0.001; IL-6 (4.90/5.48 vs 13.07/26.41 pg/ml) p<0.001; MMP3 (19.70/13.70 vs 10.10/10.40 ng/ml) p<0.001; TNF-α (8.67/6.71 vs 8.26/7.80 pg/dl) p=0.805. Conclusions: (1) In AMI patients there is a correlation between the inflammatory molecules IL-6, TNF-α and MMP3 with both the inflammatory marker hs-CRP and the ischemic marker cTnI. This correlation is strengthened for the cTnI at 6-9h post admission, particularly in the multiple linear regression to the four inflammatory markers studied. (2) IL-6 correlates negatively with the cholesterol lipoproteins. Hs-CRP and IL-6 are strongly correlated to the whole lipoprotein profile. AMI patients display reduced serum lipid levels. For the marker TNF-α no significant differences were found between groups, which were observed for IL-6 and hs-CRP (higher in the AMI group). MMP3 values are higher in the control group.

Studies on BolA and ribonuclease R: two important factors in the control of bacterial gene expression

Dissertation presented to obtain the Ph.D degree in Biology

Atherogenesis and atherosclerosis in primary antiphospholipid syndrome

ABSTRACT: In the late seventies the term “Haematological Stress Syndrome” defined some haematological abnormalities appearing in the course of acute and chronic disorders, such as raised plasma levels of fibrinogen (FNG) and factor VIII, reduced fibrinolytic activity and hyperviscosity. In the early nineties the “Membrane stress syndrome hypothesis” proposed the unification of the concepts of haematological stress syndrome with those of oxidation, inflammation and immune activation to explain the pathogenesis of the antiphospholipid syndrome (APS) Antiphospholipid antibodies, coagulation, fibrinolysis and thrombosis. This chapter investigated the occurrence of the “Haematological Stress Syndrome” and thrombosis in 144 participants positive for aPL detected by clotting and immune tests. Among the clotting assays for the detection of lupus anticoagulant, dilute Russell's viper venom time better correlated with a history of venous thrombosis than activated partial thromboplastin time (p<0.0002 vs p<0.009) and was the only test correlated with a history of arterial thrombosis (p<0.01). By regression analysis, serum levels of IgG anticardiolipin antibodies (aCL) associated with the number of venous occlusions (p<0.001). With regards to FNG and von Willebrand factor (vWF), the former rose by 36% (95% CI; 21%, 53%) and the latter by 50% (95% CI; 29%, 75%) at the first venous occlusion and remained unchanged after subsequent occlusions. At variance FNG rose by 45% (95% CI; 31%, 60%) per arterial occlusion and vWF by 27% (95% CI; 10%, 47%) per arterial occlusion throughout. The coagulation/fibrinolytic balance was cross-sectionally evaluated on 18 thrombotic PAPS patients, 18 subjects with persistence of idiopathic aPL and in healthy controls. Markers of thrombin generation prothrombin fragment 1+2 (F1+2), thrombin-antithrombin complex (TAT) and of fibrin turnover D-Dimer (D-D) were higher in thrombotic (p=0.006)and non-thrombotic subjects (p=0.0001) than in controls as were those of D-D (p<0.0001 and p=0.003 respectively). TAT levels did not differ. Gender analysed data revealed blunted tPA release (hence a negative venous occlusion test) in thrombotic females but neither in thrombotic males (p=0.01) nor in asymptomatic subjects of either sex. Also, in both patient groups females had higher mean PAI than males (p<0.0002) and control females (p<0.02). The activity of factor XIII (FXIIIa) was evaluated was evaluated in 29 patients with PAPS, 14 persistent carriers of aPL without thrombosis, 24 thrombotic patients with inherited thrombophilia, 28 healthy controls and 32 patients with mitral and aortic valve prosthesis as controls for FXIII only. FXIIIa was highest in PAPS (p=0.001), particularly in patients with multiple (n=12) than single occlusion (p=0.02) and in correlation with PAI (p=0.003) and FNG (p=0.005). Moreover FXIIIa was strongly associated with IgG aCL and IgG anti-2GPI (p=0.005 for both) in the PAPS group and to a lesser degree in the aPL group (FXIIIa with IgG aCL, p=0.02, with IgG anti-2GPI, p=0.04). Altogether these results indicate: 1) a differential relationship of aPL, vWF and FNG with venous and arterial thrombosis; 2) heightened thrombin generation, accelerated fibrin turnover and fibrinolysis abnormalities also in asymptomatic carriers of aPLs; 3) enhanced FXIIIa that may contribute to atherothrombosis via increased fibrin/fibrinogen cross-linking. Lipid profile, lipid peroxidation and anti-lipoprotein antibodies in thrombotic primary antiphospholipid syndrome. Given the atherogenic lipid profile of SLE, the same possibility was explored in PAPS by comparing high-density lipoprotein (HDL), low-density lipoprotein (LDL), total cholesterol (CHO), apolipoprotein AI (ApoAI), apolipoprotein B (ApoB), triglycerides (TG), anti-lipoprotein antibodies, beta-2-glycoprotein I complexed to oxidized low-density lipoprotein (oxLDL-2GPI) and C-reactive protein (CRP) in 34 thrombotic PAPS patients compared to 36 thrombotic patients with inherited thrombophilia (IT), to 18 subjects persistently positive for antiphospholipid antibodies (aPL) with no underlying autoimmune or non-autoimmune disorders and to 28 healthy controls. Average concentrations of HDL (p<0.0001), LDL (p<0.0001), CHO (p=0.0002), ApoAI (p=0.002) were lower in PAPS whereas average TRY was higher (p=0.01) than other groups. Moreover PAPS showed higher IgG anti-HDL (p=0.01) and IgG anti-ApoAI (p<0.0001) as well as greater average oxLDL-2GPI (p=0.001) and CRP (p=0.003). Within PAPS, IgG anti-HDL correlated negatively to HDL (p=0.004) and was an independent predictor of oxLDL-2GPI (p=0.009). HDL and ApoAI correlated negatively with CRP (p=0.001 and p=0.007, respectively). IgG anti-HDL may hamper the antioxidant and anti-inflammatory effect of HDL favouring low-grade inflammation and enhanced oxidation in thrombotic PAPS. Indeed plasma 8-epi-prostaglandin F2α (a very specific marker of lipid peroxidation) was significantly higher in 10 patients with PAPS than 10 age and sex matched healthy subjects (p=0.0002) and strongly related to the titre of plasma IgG aCL (r=0.89, p=0.0004). Hence oxidative stress, a major player in atherogenesis, also characterises PAPS. Nitric oxide and nitrative stress in thrombotic primary antiphosholipid syndrome. Oxidative stress goes hand in hand with nitrative stress and to address the latter plasma nitrotyrosine (NT, marker of nitrative stress), nitrite (NO2-) and nitrate (NO3-) were measured in 46 thrombotic PAPS patients, 21 asymptomatic but persistent carriers of antiphospholipid antibodies (PCaPL), 38 patients with inherited thrombophilia (IT), 33 patients with systemic lupus erythematosus (SLE) and 29 healthy controls (CTR). Average crude NT was higher in PAPS and SLE (p=0.01) whereas average plasma NO2- was lower in PAPS and average NO3- highest in SLE (p<0.0001). In PAPS, IgG aCL titer and number of vascular occlusions negatively predicted NO2-, (p=0.03 and p=0.001, respectively) whereas arterial occlusions and smoking positively predicted NO3- (p=0.05 and p=0.005). Moreover CRP (an inflammatory marker) positively predicted NT (p=0.004). Nitric oxide metabolites relates to type and number of vascular occlusions and to aPL titers, whereas nitrative stress relates to low grade marker) positively predicted NT (p=0.004). Nitric oxide metabolites relates to type and number of vascular occlusions and to aPL titers, whereas nitrative stress relates to low grade inflammation and both phenomena may have implications for thrombosis and atherosclerosis in PAPS Inflammation and immune activation in thrombotic primary antiphospholipid syndrome. To investigate inflammation and immune activation in thrombotic PAPS high-sensitivity CRP (hs-CRP), serum amyloid A (SAA), oxLDL-2GPI, CRP bound to oxLDL-2GPI (CRP-oxLDL-2GPI) (as inflammatory markers) neopterin (NPT) and soluble CD14 (sCD14) (as immune activation markers) were measured by ELISA in 41 PAPS patients, in 44 patients with inherited thrombophilia (IT) and 39 controls (CTR). Compared to other groups, PAPS presented with higher plasma concentrations of inflammatory, hs-CRP (p=0.0004), SAA (p<0.01), CRP-oxLDL-2GPI (p=0.0004) and immune activation markers, NPT (p<0.0001) and sCD14 (p=0.007). By regression analysis SAA independently predicted thrombosis number (p=0.003) and NPT independently predicted thrombosis type (arterial, p=0.03) and number (p=0.04). These data confirm that low-grade inflammation and immune activation occur and relate to vascular features of PAPS. Antiphosholipid antibodies, haemostatic variables and atherosclerosis in thrombotic primary antiphospholipid syndrome To evaluate whether IgG aCL titre, haemostatic variables and the lipid profile bore any relationship to the intima media thickness (IMT) of carotid arteries high-resolution sonography was applied to the common carotid (CC), carotid bifurcation (CB) and internal carotid (IC) of 42 aPL subjects, 29 with primary thrombotic antiphospholipid syndrome and 13 with persistence of aPL in the absence of any underlying disorder. The following were measured: plasma FNG, vWF, PAI, homocysteine (HC), CHO, TG, HDL, LDL, platelet numbers and aCL of IgG and IgM isotype. By multiple regression analysis, IgG aCL titre independently predicted IMT at all carotid segments examined (p always <0.005). Plasma FNG and HC independently predicted IMT at the CB (p=0.001 and p<0.0001, respectively) and IC (p=0.03 and p<0.0001, respectively). These data strongly support an atherogenic role for IgG aCL in patients with aPL in addition to traditional risk factors. The atherosclerosis hypothesis was investigated in an age and sex-matched case-double-control study including 49 thrombotic PAPS patients (18 M, 31 F, mean age 37 ± 11), 49 thrombotic patients for IT and 49 healthy subjects. Average IMT was always greater in PAPS than control patients (CC: p=0.004, CB: p=0.013, IC: p=0.001). By dividing participants into age tertiles the IMT was greater in the second (CC: p=0.003, CB: p=0.023, IC: p=0.003) and third tertiles (CC: p=0.03, CB: p=0.004, IC: p=0.007). Conclusion: Coagulation activation, fibrinolysis depression, hightened fibrin turnover, oxidative and nitrative stress in parallel with low grade inflammation and immune activation characterise thrombotic PAPS: all these are early atherogenic processes and contribute to the demonstrated premature atherosclerosis that should be considered a clinical feature of PAPS.

R&D spillovers in an endogenous growth model with physical capital, human capital and varieties

There is a family of models with Physical, Human capital and R&D for which convergence properties have been discussed (Arnold, 2000a; Gómez, 2005). However, spillovers in R&D have been ignored in this context. We introduce spillovers in this model and derive its steady-state and stability properties. This new feature implies that the model is characterized by a system of four differential equations. A unique Balanced Growth Path along with a two dimensional stable manifold are obtained under simple and reasonable conditions. Transition is oscillatory toward the steady-state for plausible values of parameters.

Absorption in human capital and r&d effects in an endogenous growth model

Until now, in models of endogenous growth with physical capital, human capital and R&D such as in Arnold [Journal of Macroeconomics 20 (1998)] and followers, steady-state growth is independent of innovation activities. We introduce absorption in human capital accumulation and describe the steady-state and transition of the model. We show that this new feature provides an effect of R&D in growth, consumption and welfare. We compare the quantitative effects of R&D productivity with the quantitative effects of Human Capital productivity in wealth and welfare.

Políticas de financiamento de I&D em Portugal [R&D financing policies in Portugal]

Baseado no relatório para a disciplina de “Avaliação de Ciência e Tecnologia” da responsabilidade do Prof. João Crespo (FCT-UNL) do Programa Doutoral em Avaliação de Tecnologia em 2012

J. R. R. Tolkien, The Lord of the Rings; A Viagem e a Transformação

Este livro, agora publicado pelo INIC, é o resultado de um trabalho de investigação realizado entre 1985 e 1987 para a obtenção do grau de Mestre em Estudos Literários Comparados pela Faculdade de Ciências Sociais e Humanas da Universidade Nova de Lisboa. A literatura fantástica é uma área da literatura mundial que recebeu nas últimas décadas um grande interesse por parte da comunidade científica internacional. A multiplicação das associações, reuniões e congressos, a par da crescente produção teórica e científica, dão prova da vitalidade desta área da crítica literária. Parte deste movimento foi precisamente despoletado pelo interesse provocado pela obra de 1. R. R. Tolkien e de outros autores como C. S. Lewis, Charles Williams, etc. Este fenómeno internacional não teve ainda reais desenvolvimentos em Portugal. Cinco anos volvidos sobre a realização deste trabalho verificamos que ele é um dos primeiros (senão o primeiro) editado entre nós que, de uma forma sistemática e científica, analisa a obra de Tolkien, abordando ainda, embora de forma breve, a problemática da ficção fantástica contemporânea.

Towards an algorithmic skeleton framework for programming the Intel R Xeon PhiTM processor

The Intel R Xeon PhiTM is the first processor based on Intel’s MIC (Many Integrated Cores) architecture. It is a co-processor specially tailored for data-parallel computations, whose basic architectural design is similar to the ones of GPUs (Graphics Processing Units), leveraging the use of many integrated low computational cores to perform parallel computations. The main novelty of the MIC architecture, relatively to GPUs, is its compatibility with the Intel x86 architecture. This enables the use of many of the tools commonly available for the parallel programming of x86-based architectures, which may lead to a smaller learning curve. However, programming the Xeon Phi still entails aspects intrinsic to accelerator-based computing, in general, and to the MIC architecture, in particular. In this thesis we advocate the use of algorithmic skeletons for programming the Xeon Phi. Algorithmic skeletons abstract the complexity inherent to parallel programming, hiding details such as resource management, parallel decomposition, inter-execution flow communication, thus removing these concerns from the programmer’s mind. In this context, the goal of the thesis is to lay the foundations for the development of a simple but powerful and efficient skeleton framework for the programming of the Xeon Phi processor. For this purpose we build upon Marrow, an existing framework for the orchestration of OpenCLTM computations in multi-GPU and CPU environments. We extend Marrow to execute both OpenCL and C++ parallel computations on the Xeon Phi. We evaluate the newly developed framework, several well-known benchmarks, like Saxpy and N-Body, will be used to compare, not only its performance to the existing framework when executing on the co-processor, but also to assess the performance on the Xeon Phi versus a multi-GPU environment.