The catchment area had 328,542 inhabitants in 2007 The Danish Na

The catchment area had 328,542 inhabitants in 2007. The Danish National Health Service provides tax-supported health care for all inhabitants, guaranteeing free access to general practitioners and hospitals. All acute medical conditions including TIA are exclusively treated at public hospitals, either as in or as outpatients. We established an acute TIA-team, which served TIA-patients see more both on the stroke unit and the TIA-clinic. Patients with TIA symptoms during the preceding 48 h or crescendo TIA

were admitted directly to the stroke unit and monitored for 1–2 days. All other patients were seen as outpatients 1–3 days after received referral. TIA was defined as a sudden focal neurologic deficit of presumed vascular origin lasting less than 24 h. Inclusion criteria were: TIA according to definition, residence in the Aarhus area, TIA during the last six months, and date of referral 1 March 2007–28 February 2008. Patients with a modified Rankin Score (mRS) >2 were excluded. Informed consent was obtained from all participants. All patients fulfilling the inclusion criteria for TIA were registered prospectively, including those admitted for suspected stroke but ending up as TIA. The TIA diagnosis

was made by a specialist. Patients underwent a neurological examination (more than 95% of the TIA patients were examined by the first author), CT or MR of the brain, ECG, laboratory tests and ankle brachial index. Furthermore, we performed PCI 32765 duplex sonography of the extra- and intracranial vessels (TCCS). All ultrasound examinations were done by one experienced neurologist, performing at least 500 examinations per year and certified by the European Society of Neurosonoly and Cerebral Haemodynamics (ESNCH). Atherosclerosis of the carotid arteries was considered significant if a stenoses ≥50% was found (NASCET criteria). Intracranial stenoses were defined according Baf-A1 mouse to the criteria established by Baumgartner: stenoses in the anterior (ACA), middle (MCA)

and posterior (PCA) cerebral artery was defined by peak systolic velocity of ≥120 cm/s, ≥155 cm/s, and ≥100 cm/s respectively, Stenoses in the VA and BA was defined by peak systolic velocity of ≥90 cm/s, and ≥100 cm/s respectively [7]. Additionally to these criteria, stenoses in ICA, and the extracranial VA was defined by systolic peak velocity ≥120 cm/s. All intracranial velocities were measured with an insonation angle of 0° without angle correction. A stenosis was considered symptomatic if a patient had TIA symptoms during the last six months before inclusion, related to the supply area of a carotid artery with a significant stenosis, or an extracranial vertebral or an intracranial stenosis according to the criteria above. Patients with combined extra- and intracranial stenoses e.g. ICA and MCA-stenoses on the symptomatic side were counted both as symptomatic ICA- and MCA-stenoses.

For induced conditions, cultures were pre-incubated for 48 h with

For induced conditions, cultures were pre-incubated for 48 h with 10 nM of TCDD.

For inhibited conditions, α-naphthoflavone (10 μM) was added to the basal medium 30 min prior to the probe. After the incubation, the luminescence was measured using a LMaxII® luminometer (Molecular Devices, United States). HepG2 cells were used as ‘positive control’. Selleck GSK1120212 The measurement of CYP2A6/2A13 activity was based on the methodology described previously (Newland et al., 2011). The same methodology was adapted, including probes and inhibitors, for the measurement of CYP1A2 and CYP2E1 activities. A549 cells were used as ‘negative control’ for CYP2A6/2A13 and CYP1A2, the status of CYP2E1 activity is unknown in A549. HepaRG cells were used as a positive control for CYP1A2 and CYP2A6/2A13. HepG2 cells were used as ‘positive

control’ for CYP2E1. For the CYP1A2 activity assay, 7-ethoxyresorufin (20 μM) was used as a probe and fluvoxamine (100 μM) was used as inhibitor. The metabolite quantified was resorufin. selleckchem In the case of the CYP2A6/2A13 activity assay, coumarin (200 μM) was used as a probe and 8-methoxypsoralen (8-MOP) (100 μM) as inhibitor. The metabolite measured was 7-hydroxycoumarin. Finally, the CYP2E1 activity assay used chlorzoxazone (100 μM) as probe and disulfiram (20 μM) as inhibitor. 6-hydroxychlorzoxazone was the metabolite quantified. After the probe incubations, 250 μL of basal medium was adjusted to pH 5.0 with hydrochloric acid and treated with 2.5 μL of β-glucuronidase from Helix pomatia for 18 h at 37 °C while shaking. Once the glucuronidase treatment finished, 250 μL of methanol and the internal standard 4-methylumbelliferon (5 μM) was added to the solution. The

metabolites where then quantified using an UPLC-AB SCIEX/API 4000 Q-Trap® mass spectrometer using the column Phenomenex Kinetex 2.6 μm PFP, 100 Å (Applied Biosystems, United States). Once all basal medium was removed, cells were lysed using Mammalian Protein Extraction Reagent (M-PER) lysate buffer (Thermo Fisher Scientific Inc., United Kingdom) and protein content was measured employing the bicinchoninic acid protein assay (BSA) together with a Multiskan Ascent® spectrophotometer (Thermo Fisher Scientific Inc., United Kingdom). Lactate dehydrogenase (LDH) release was used as a measure of Liothyronine Sodium cytotoxicity during the enzyme activity assays. The CytoTox-ONE® homogeneous membrane integrity assay (Promega, United Kingdom) was used following manufacture recommendations and analyzed with a Fluoroskan Ascent® fluorometer (Thermo Fisher Scientific Inc., United Kingdom). The percentage LDH release is inversely proportional to the cell viability which was >85% for all treatments and timepoints. After completion of the qPCR, the threshold cycle (Ct) values were visually inspected using the fast PCR 7500 software v.2.0.5. When required, the threshold setting default (0.

The basket cells provided feedback inhibition targeting the cell

The basket cells provided feedback inhibition targeting the cell soma of 70% of all pyramidal neurons within their hypercolumn non-selectively (Yoshimura et al., 2005). Connections between pairs of neurons were randomly

generated according to the connection densities. All connections that a neuron by chance formed onto itself were check details excluded from the network. The local network connectivity and the corresponding sizes of excitatory postsynaptic potentials (PSPs) were constrained with biological data, mostly from Thomson et al. (2002). For long-range (global) connections data is rather scarce as this type of connectivity is difficult to measure quantitatively. We therefore extrapolated the available experimental data based on theoretical considerations to arrive at a plausible amount of long-range connections between pyramidal cells (Lundqvist et al., 2006 and Lundqvist et al., 2010). Each pyramidal cell had 90 excitatory synapses from other distant pyramidal cells that were part of the same memory pattern. With only 9 hypercolumns in the network this resulted in excessive long-range connectivity density of ~30% (Lundqvist et al., 2006). The density

level is considerably reduced as the number of hypercolumns increases towards GPCR Compound Library nmr real cortical scales. The single cell as well as attractor dynamics are however independent of scale (Djurfeldt et al., 2008). Our neuron models (Lansner and Fransén, 1992) were multi-compartmental and conductance-based, following the Hodgkin–Huxley and Rall formalisms. Pyramidal cells consisted of 6 compartments (soma, basal dendritic, initial segment, and three apical dendritic) and interneurons of 3 compartments (soma, dendritic, and initial segment). The potential in a compartment was calculated by integrating the currents dEdt=(Eleak−E)gm+∑(Ecomp−E)gcore+(Eext−E)gext+Ichannels+Isyncm,where c  m is the capacitance of the membrane proportional to its area, g  m is the membrane leak conductance, E  leak is the equilibrium potential of

the leak current. The term (Ecomp−E)gcore denotes the contributing currents from electrically coupled compartments with potential Ecomp and the conductance gcore, which depends on compartmental cross section (equal for most basal and apical dendrites, smaller for initial segment). gext is a non-specific excitatory conductance with reversal potential Eext. Ichannels is the active currents from different ionic channels in the membrane of the compartment, including voltage-dependent Na+, K+, and Ca2+ channels as well as Ca2+-dependent K+ channels. Isyn is the current through glutamatergic (AMPA, NMDA type) and GABA-ergic synapses on the compartment. The kinetics of Ichannels and Isyn are described by Hodgkin–Huxley-type equations presented in Supplementary material. Parameters were tuned to mimic the spiking behavior of the respective neuron type (Table 1). Pyramidal cells were strongly adapting and basket cells almost non-adapting (Cauli et al., 2000).

We observed the augmented expression of FasL in 50 5% of glioblas

We observed the augmented expression of FasL in 50.5% of glioblastomas, in contrast to the absence of its expression in normal glial tissue. In addition, we observed a significant difference in Fas expression between glioblastomas (68.9%) and normal glial tissue (16%) and reasonable to good positive correlations between both FasL and Fas and Fas and cleaved caspase-8 in glioblastomas. Taken together, our findings suggest that neoplastically transformed glial cells increase the expression of FasL, Fas, and cleaved caspase-8, indicating the initiation of the extrinsic apoptotic pathway. Molecular studies have demonstrated

the high expression of Fas and FasL in malignant glioma cells, and these findings support the conclusion that the

FasL-Fas-dependent apoptotic mechanism is intact and functional [14] and [33]. When the expression of Selleckchem Bortezomib cleaved caspase-8 and cleaved caspase-3 proteins was analyzed, we found a significant expression of cleaved caspase-8 in 45.7% of the glioblastomas and 32% of the normal glial tissues. Cleaved caspase-3 was expressed in 35.2% of the glioblastomas and in only 4% of the normal glial tissues. In addition, we found that the low level of expression of cleaved caspase-8 in glioblastomas was click here associated with a median survival of 8.5 months, which represents a significant decrease in overall survival compared to patients with glioblastomas expressing high levels of cleaved caspase-8 (median survival of 11.7 months). This effect on survival was independent of treatment, gender, age, tumor size, and tumor location. Using a quantitative immunoblotting method, Ashley et al. [2] also found that the caspase-8

protein levels in ex vivo malignant gliomas varied substantially. Taken together, our findings suggest that high- or low-levels of expression of cleaved caspase-8 and cleaved caspase-3 are independent of clinicopathological features and are likely implicated in tumor progression. We observed poor correlations Dapagliflozin between Fas and cleaved caspase-3, between FasL and cleaved caspase-8, and between cleaved caspase-8 and cleaved caspase-3 in the tumors. These results suggest that Fas-induced apoptosis is activated by the extrinsic pathway but is inhibited downstream. In fact, the Fas-mediated apoptotic pathway can be inhibited in glioblastomas at several stages by RIP (receptor-interacting protein) [3], by c-FLIP (cellular Fas-associated death domain-like interleukin-1beta-converting enzyme-inhibitory protein) [13], by PEA-15/PED (phosphoprotein enriched astrocytes-15 kDa/phosphoprotein enriched in diabetes) [14] and [37], by Bcl-2 [10], [12] and [42] or by the cytokine response modifier A (CrmA) [28]. In addition, the activation of caspase-3 by caspase-9 can be blocked by the high expression of inhibitor of apoptosis proteins (IAPs) in glioblastomas [28], [35] and [44].

As the PCA model is centered, it gives: X=1⋅xmean+T(A)⋅P(A)T+E(A)

As the PCA model is centered, it gives: X=1⋅xmean+T(A)⋅P(A)T+E(A)where: X – the x value; T(A) – the score of the (A) component; P – the X-loading; and E(A) – x-residuals for selleckchem a model using (A) PCs. The algorithms used in The Unscrambler for PCA are described in Martens and Næs [36]. The software

uses the NIPALS algorithm, which extracts one variable at a time. Each factor is obtained iteratively on the “T” scores to obtain a better score. The current version of the software permits use of a stop criteria based on: ||told-t|| < 1e − 12, which gives more strict orthogonality in scores and loadings; the maximum number of iterations was 100. Later, the individual position of each point (peptide) is identified and verified if the points

with similar biological activity are grouped neighbor to each other, forming a group; this is done manually, using the help of the algorithm, which automatically identifies each peptide. The PCA grouping of peptide classes was mathematically determined by the physicochemical parameters (grand average hydrophobicity Selleckchem Navitoclax index (GRAVY), aliphaticity index, number of disulfide bonds, total number of residues, net charge, and isoelectric point (pI)), flexibility index, percentage of alpha helix, and Boman IMP dehydrogenase index without any use of alignment of sequences; i.e., the peptides were classified only according to their intrinsic properties without including any influence from their biological activity. Positive values of GRAVY are indicative of hydrophobicity, while negative values are indicative of hydrophilicity [30]. The aliphatic index of a peptide is considered to be the relative volume occupied by aliphatic side chains (alanine, valine, isoleucine,

and leucine). Positive values for this index are related to an increase in the stability of the peptides [24], but this observation can be extended to peptides in general. Fig. 1 reports the PCA X-loadings plot, showing the correlation between the nine variables, while the individual peptides are identified by numbers, as shown in Table S1 (supplementary information). This figure shows that the first two PCs basically describe the hydrophobicity of the peptides (GRAVY and aliphaticity) and percentage of α-helix, which are negatively correlated to flexibility and Boman index, and also to net charge, pI, total number of residues, and number of disulfide bonds. The second PC basically discriminates between the total number of amino acid residues and net charge, against the other variables (Fig. 1 and Fig. 2). Fig.

BPR at Nuxia essentially equally contributed by precipitation, me

BPR at Nuxia essentially equally contributed by precipitation, melt water and groundwater, while the other tributaries are fed mainly AZD2014 by rain (Table 2; Guan and Chen, 1980 and Liu, 1999). On average, surface runoff increases toward the lower reaches of BPR (Guan and Chen, 1980).

During 1956–2000, the Nugesha, Yangcun and Nuxia stations located in the main tributary showed slightly decreasing annual flow while the Lazi station located in the source region exhibited slightly increasing annual flow (Table 3; Huang et al., 2007 and Li et al., 2010). The Lhasa River, a tributary of BPR, presented slightly increasing trends in annual flow during 1956–2003 (Table 3; Lin et al., 2007). In SWR, rainfall is the major contributor to the annual flow (Table 2; Fan and He, 2012 and Zhang et al., 2013b) although in the upper reach above station Jiayuqiao, melt water is also Ruxolitinib datasheet important and accounts for 25% of the annual flow (Zhang et al., 2013b). At Jiayuqiao, both the annual and the monthly streamflow showed increasing trends during 1980–2000 except for

June and July and the increasing trends were statistically significant for January–April (Table 3; Yao et al., 2012b). In the lower reach between Jiayuqiao and Daojieba, the annual streamflow also increased during 1958–2000 (Table 3), and the increases in the low flow season (November–February) were statistically significant (Yao et al., 2012b). In general, streamflow of the Pacific Ocean and the Indian Ocean oriented rivers is rainfall dominated but for the headwaters of these rivers melt water is more important, for example, the Tuotuo River of the YTR (Table 2). It appears that the melt water contribution diminishes as the

basins expand from the source region to the TCL lower reaches for both types of rivers. The streamflow changes at various locations along the rivers are different due to the differences in the major contributions to the streamflow and the dominant acting factors such as temperature and precipitation. Historically, all tributaries in TRB flowed to the Tarim River, the main branch. The major tributaries of the Tarim River included the Yarkant, Hotan and Aksu Rivers, which contribute about 3.6%, 23.2% and 73.2%, respectively, to the Tarim River (Chen and Xu, 2004). The Yarkant River used to be the headwater of the Tarim River but it has now lost the connection to the Tarim River except in the extreme flooding season. In TRB, the June–September flow accounts for 72–80% of the annual total (Chen et al., 2003). The major contribution to streamflow in TRB is from melt water, which accounts for approximately half of the annual total (Table 2; Fu et al., 2008), although this number varies among the studies. The lower TRB is desert where precipitation is very limited.

In particular, it has been suggested that the low transcriptional

In particular, it has been suggested that the low transcriptional activity of perinuclear heterochromatin is a

consequence of nuclear lamina-mediated gene silencing [50]. The nuclear lamina which is comprised of a meshwork of type V intermediate filament proteins (lamins) and other associated proteins (reviewed in [51]) provides the interface between the inner nuclear membrane, nuclear pore complex and the nearby chromatin. Associations of large regions of chromatin, termed lamin associated domains (LADs) Selleck Olaparib with the nuclear lamina is generally associated with transcriptional repression [52], however relocation to the periphery is not always sufficient for gene silencing [53], nor is it necessary as many inactive loci are located within the nucleoplasm away from the nuclear periphery. Nonetheless the association with, and disassociation of buy Decitabine gene loci from the nuclear lamina and corresponding changes in transcriptional status, for example during embryonic stem cell differentiation [52], implicates this nuclear compartment in the regulation of gene expression. Recent studies have advanced our understanding of how genes relocate to and from the

nuclear periphery. In S. cerevisiae the INO1 gene relocates to the nuclear pore complex (NPC) upon transcriptional activation [ 54]. This relocation is controlled by two upstream 8 bp and 20 bp DNA elements termed ‘DNA zip codes’ which are sufficient for relocation and clustering at the NPC [ 55••], suggesting that the genome itself encodes for its spatial organization. DNA elements can also mediate gene repositioning in mammalian cells. The IgH and Cyp3a loci are located Reverse transcriptase within LADs that dissociate from the nuclear lamina in cell types in which these genes are actively transcribed [ 56]. Integration of BACs containing these genomic regions into a control locus relocates the locus

to the nuclear periphery [ 57••]. Through a series of truncation experiments, Singh and colleagues identified a 4–6 kb minimal sequence element at these loci that is sufficient to target the surrounding DNA region to the nuclear periphery and consequently attenuate transcription of a reporter gene [ 57••]. This sequence element is enriched with the GAGA motif, which when inserted as 10 copies in a 400 bp array, is sufficient to target a DNA locus to the lamina. The sequestration at the lamina could be partially inhibited through knockdown of either the zinc finger protein cKrox, which binds the GAGA motif, or the histone deacetylase HDAC3 [ 57••]. Therefore, chromatin modifications, in addition to the DNA sequence elements, may also be involved in positioning genes at the nuclear periphery. This is further supported by findings implicating histone deactylases in targeting the cystic fibrosis transmembrane conductance regulator (CFTR) gene to the nuclear periphery in non-expressing cells [ 58].

, 2006) Veraart׳s group are continuing testing of their device (

, 2006). Veraart׳s group are continuing testing of their device (Brelen et al., 2010), and have since been joined by two others developing optic nerve prostheses using electrodes stimulating either the optic nerve or the optic disk (Lu

et al., 2013, Sakaguchi et al., 2009 and Wu et al., 2010). The lateral geniculate nucleus (LGN) is considered a favorable stimulation target due to its compact dimensions, retinotopic organization and the physical separation of pathways specific to color and motion (Mullen et al., 2008 and Wiesel and Hubel, 1966). The see more proximity of the LGN to structures targeted surgically for pain control and movement disorders resulted in reports of visual phenomena experienced during thalamic stimulation procedures over three decades ago. Some of these reports were published by Marg and Driessen (1965), with their patients describing highly complex visual phenomena during deep brain stimulation. In a recent macaque study however, it was shown that simple, discrete visual percepts could be elicited by microstimulation of LGN (Pezaris and Reid, 2007). While in that study Pezaris et al. analyzed visual saccades in response to LGN stimulation, Panetsos et al. (2011) recently analyzed rat and rabbit PR-171 purchase cortical responses to LGN stimulation, concluding that such stimulation could generate visual cortical responses resembling those elicited

by natural vision. While much work remains to be done, both groups report plans for further studies in support of developing a functionally useful visual prosthesis based on LGN stimulation (Panetsos et al., 2011 and Pezaris and Eskandar, 2009). Reports exist of complex visual percepts elicited oxyclozanide by stimulation of the optic radiations during neurosurgical procedures (Chapanis et al., 1973 and Marg and Driessen, 1965), however to date there are no groups known to us for whom this site is a stimulation target for developing a visual prosthesis. Primary visual cortex, or V1, is an area of the occipital lobe that encompasses the buried

portions of cortex in the calcarine sulcus and its upper and lower banks, extending posterolaterally to the occipital pole. The reported surface area of V1 varies between 1400 and 6300 mm2, depending on the method of estimation (Andrews et al., 1997, Genc et al., 2014 and Stensaas et al., 1974), with approximately 67% of that area buried inside the calcarine fissure (Stensaas et al., 1974). Most efferent fibers from the LGN synapse with layer 4 of V1, from which numerous connections to other layers within V1 and those of higher visual centers are made (Troncoso et al., 2011). Human trials of visual cortex electrical stimulation with both surface and penetrating electrodes have demonstrated the viability of this brain region as a target for a visual prosthesis (Dobelle, 2000 and Schmidt et al., 1996).

When competition occurs between languages, inhibition of the non-

When competition occurs between languages, inhibition of the non-target language is required. This may result in the recruitment of a larger executive control

network compared to when competition emerges only within a single language. In fact, in the context of a written lexical decision task, between-language competition results in bilinguals’ recruitment of cognitive control regions including pre-supplementary motor area and anterior cingulate (van Heuven et al., 2008). This pattern of activation may also be expected when cross-linguistic competition emerges in a spoken context. Future research will test this possibility by using fMRI to explore differences in how bilinguals respond to find more within- and between-language competition. In conclusion,

we have provided the first functional neuroimaging evidence that monolinguals and bilinguals differ in how they respond to RGFP966 supplier within-language spoken-word competition. We illustrate that bilinguals’ recruitment of executive control resources is less extensive than that of monolinguals, indicating that bilinguals’ enhanced behavioral efficiency at overcoming language coactivation (Blumenfeld & Marian, 2011) is reflected in increased cortical efficiency. This work was funded by grant NICHD RO1 HD059858-01A to Viorica Marian and grant NIH/NICHD 1R21 HD059103

to Arturo Hernandez. The authors would like to thank the Baylor Neuroimaging Center for the use of scanning equipment, Chris McNorgan Megestrol Acetate for sharing scripts for data analysis, and the members of the Northwestern University Bilingualism and Psycholinguistics Research Group for helpful comments on this work. “
“The term “bilinguals” refers to people who can use two languages selectively and effectively in their everyday life. The measure of bilingual abilities includes several dimensions such as the degree of proficiency, accuracy, context of acquisition and/or learning, age of appropriation, degree of motivation, context of use, and structural distance between the two languages, with each of these dimensions having several variables. In particular, the variable Age of Acquisition (AoA) is commonly used to class the speakers of two languages into early and late bilinguals. The early bilingual (EBL) is one who acquires two languages, at the same time, from infancy. The late bilingual (LBL), on the other hand, is one who acquires or learns a second language after the age of seven years (Paradis, 2003). However, an important issue has not been thoroughly studied in this research field: the means by which bilinguals select between and process two languages in the brain.

(Belmont, CA, USA) according to the manufacturer’s instructions

(Belmont, CA, USA) according to the manufacturer’s instructions. The coefficient of variation (CV) for the adipokines and neuropeptide procedure was calculated: a-MSH (CV = 6.48%), NPY (CV = 11.91%), AgRP (CV = 13.47%), ghrelin

(CV = 6.82%), adiponectin (CV = 4.5%) and leptin (CV = 4.07%). For this study, the leptin data were analyzed according to reference values described by Gutin et al. [12] and the ghrelin reference value adopted was 10–14 ng/ml. according to Whatmore et al. [44]. All Selleckchem PD98059 abdominal ultrasonographic procedures and measurements of visceral and subcutaneous fat tissue were performed by the same physician, who was blinded to subject assignment groups at baseline and after intervention. This physician was a specialist in imaging diagnostics. A 3.5-MHz multifrequency transducer (broad band) was used to reduce the risk of misclassification. The intra-examination coefficient of variation for ultrasound (US) was 0.8%. US measurements of intra-abdominal (visceral) and subcutaneous fat were obtained. US-determined subcutaneous fat was defined as the distance between the skin and external face of the rectus abdominis muscle, and visceral fat was defined as the distance between the internal face of UMI-77 the same muscle and the anterior wall of the aorta. Cut-off points to define visceral obesity by ultrasonographic

parameters were based on previous methodological descriptions by Ribeiro-Filho et al. [30]. Energy intake was set at the levels recommended by the dietary reference

intake for subjects with low levels Phospholipase D1 of physical activity of the same age and gender following a balanced diet [22]. No drugs or antioxidants were recommended. Once a week, adolescents had dietetic lessons (providing information on the food pyramid, diet record assessment, weight-loss diets and “miracle” diets, food labels, dietetics, fat-free and low-calorie foods, fats (kinds, sources and substitutes), fast-food calories and nutritional composition, good nutritional choices on special occasions, healthy sandwiches, shakes and products to promote weight loss, functional foods and decisions on food choices). All patients received individual nutritional consultation during the intervention program. At the beginning of the study and at 6 months and 12 months into the program, a 3-day dietary record was collected. Portions were measured in terms of familiar volumes and sizes. The dietician taught the parents and the adolescents how to record food consumption. These dietary data were transferred to a computer by the same dietician, and the nutrient composition was analyzed by a software program developed at the Federal University of São Paulo – Paulista Medical School (Nutwin version 1.5 for Windows, 2002) that used data from Western and local food tables.