Short-term effects of tropospheric ozone and other environmental factors on emergency admissions due to pregnancy complications: A time-series analysis in the Madrid Region

Air pollution has been linked to adverse neonatal outcomes, mainly in the case of prolonged exposures. This study focuses on the short-term effects on maternal health. We conducted a retrospective ecological time-series study in the Madrid Region covering the period 2013-2018. The independent variables were mean daily concentrations of tropospheric ozone (O3), particulate matter (PM10/PM2.5) and nitrogen dioxide (NO2), as well as noise levels. The dependent variables were daily emergency hospital admissions due to complications in pregnancy, childbirth and the puerperium. Poisson generalised linear regression models were fitted to quantify the relative and attributable risks, controlling for trend, seasonality, the autoregressive nature of the series, and a number of meteorological factors. There were 318 069 emergency hospital admissions due to obstetric complications across the 2191 days of study. Of this total: 13 164 (95%CI: 9930-16 398) admissions were attributable to exposure to O3, the only pollutant to show a statistically significant (p < 0.05) association with admissions due to hypertensive disorders; and 10 575 (95%CI: 3573-17 566) admissions were attributable to daytime noise levels, while admissions due to hyperemesis gravidarum and vomiting were related to exposure to night noise. Other pollutants which also displayed statistically significant associations were: NO2 concentrations, with admissions due to vomiting and preterm labour; PM10 concentrations, with premature rupture of membranes: and PM2.5 concentrations, with total complications. Exposure to a range of air pollutants, and ozone in particular, is associated with a higher number of emergency hospital admissions due to gestational complications. Hence, surveillance of environmental effects on maternal health should be intensified, and plans and strategies to minimise these should be drawn up.

Impact of urban heat islands on morbidity and mortality in heat waves: Observational time series analysis of Spain's five cities

Urban heat islands (UHIs) have become an especially relevant phenomenon as a consequence of global warming and the growing proportion of people living in cities. The health impacts that are sometimes attributed to the rise in temperature generated in an UHI are not always adequately justified. The objective is to analyse what effect UHIs have on maximum (Tmax) and minimum daily temperatures (Tmin) recorded in urban and non-urban observatories, and quantify the impact on morbidity and mortality during heat waves in Spain's five cities. Data were collected on natural-cause daily mortality and unscheduled emergency hospital admissions (ICD-10: A00-R99) registered in these 5 cities across the period 2014-2018. We analysed daily Tmax and Tmin values at urban and non-urban observatories in these cities, and quantified the impact of Tmax and Tmin values during heat waves in each of these cities, using GLM models that included Tmax only, Tmin only, and both. We controlled for air pollution and other meteorological variables, as well as for seasonalities, trend and the autoregressive nature of the series. The UHI effect was observed in Tmin but not in Tmax, and proved to be greater in coastal cities than in inland and more densely populated cities. The UHI value in relation to the mean Tmin in the summer months ranged from 1.2 °C in Murcia to 4.1 °C in Valencia (difference between urban/non-urban observatories). The modelling process showed that, while a statistically significant association (p < 0.05) was observed in inland cities with Tmax for mortality and hospital admissions in heat waves, in coastal cities the association was obtained with Tmin, and the only impact in this case was the UHI effect on morbidity and mortality. No generalisations can be made about the impact of UHI on morbidity and mortality among the exposed population in cities. Studies on a local scale are called for, since it is local factors that determine whether the UHI effect will have a greater or lesser impact on health during heat-wave events.

Effect of rapamycin on lysosomal accumulation in a CRISPR/Cas9-based cellular model of VPS13A deficiency

VPS13A is a lipid transfer protein localized at different membrane contact sites between organelles, and mutations in the corresponding gene produce a rare neurodegenerative disease called chorea-acanthocytosis (ChAc). Previous studies showed that VPS13A depletion in HeLa cells results in an accumulation of endosomal and lysosomal markers, suggesting a defect in lysosomal degradation capacity leading to partial autophagic dysfunction. Our goal was to determine whether compounds that modulate the endo-lysosomal pathway could be beneficial in the treatment of ChAc. To test this hypothesis, we first generated a KO model using CRISPR/Cas9 to study the consequences of the absence of VPS13A in HeLa cells. We found that inactivation of VPS13A impairs cell growth, which precludes the use of isolated clones due to the undesirable selection of edited clones with residual protein expression. Therefore, we optimized the use of pool cells obtained shortly after transfection with CRISPR/Cas9 components. These cells are a mixture of wild-type and edited cells that allow a comparative analysis of phenotypes and avoids the selection of clones with residual level of VPS13A expression after long-term growth. Consistent with previous observations by siRNA inactivation, VPS13A inactivation by CRISPR/Cas9 resulted in accumulation of the endo-lysosomal markers RAB7A and LAMP1. Notably, we observed that rapamycin partially suppressed the difference in lysosome accumulation between VPS13A KO and WT cells, suggesting that modulation of the autophagic and lysosomal pathway could be a therapeutic target in the treatment of ChAc.

Short-term impact of noise, other air pollutants and meteorological factors on emergency hospital mental health admissions in the Madrid region

BACKGROUND

A number of environmental factors, such as air pollution, noise in urbanised settings and meteorological-type variables, may give rise to important effects on human health. In recent years, many studies have confirmed the relation between various mental disorders and these factors, with a possible impact on the increase in emergency hospital admissions due to these causes. The aim of this study was to analyse the impact of a range of environmental factors on daily emergency hospital admissions due to mental disorders in the Madrid Autonomous Region (MAR), across the period 2013-2018.

METHODOLOGY

Longitudinal ecological time series study analysed by Generalised Linear Models with Poisson regression, with the dependent variable being daily Emergency Hospital Mental Health Admissions (EHMHA) in the MAR, and the independent variable being mean daily concentrations of chemical pollutants, noise levels and meteorological variables.

RESULTS

EHMHA were related statistically significantly in the short term with diurnal noise levels. Relative risks (RRs) for total admissions due to mental disorders and self-inflicted injuries, in the case of diurnal noise was RR: 1.008 95%CI (1.003 1.013). Admissions attributable to diurnal noise account for 5.5% of total admissions across the study period. There was no association between hospital admissions and chemical air pollution.

CONCLUSION

Noise is a variable that shows a statistically significant short-term association with EHMHA across all age groups in the MAR region. The results of this study may serve as a basis for drawing up public health guidelines and plans, which regard these variables as risk factors for mental disorders, especially in the case of noise, since this fundamentally depends on anthropogenic activities in highly urbanised areas with high levels of traffic density.

How heat waves, ozone and sunlight hours affect endocrine and metabolic diseases emergency admissions? A case study in the region of Madrid (Spain)

BACKGROUND

Studies which analyse the joint effect of acoustic or chemical air pollution variables and different meteorological variables on neuroendocrine disease are practically nonexistent. This study therefore sought to analyse the impact of air pollutants and environmental meteorological variables on daily unscheduled admissions due to endocrine and metabolic diseases in the Madrid Region from January 01, 2013 to December 31, 2018.

MATERIAL AND METHODS

We conducted a longitudinal, retrospective, ecological study of daily time series analysed by Poisson regression, with emergency neuroendocrine-disease admissions in the Madrid Region as the dependent variable. The independent variables were: mean daily concentrations of PM₁₀, PM_2.5, NO₂ and O₃; acoustic pollution; maximum and minimum daily temperatures; hours of sunlight; relative humidity; wind speed; and air pressure above sea level. Estimators of the statistically significant variables were used to calculate the relative risks (RRs).

RESULTS

A statistically significant association was found between the increase in temperatures in heat waves, RR: 1.123 95% CI (1.001-1.018), and the number of emergency admissions, making it the main risk factor. An association between a decrease in sunlight and an increase in hospital admissions, RR: 1.005 95% CI (1.002 1.008), was likewise observed. Similarly, ozone, in the form of mean daily concentrations in excess of 44 μg/m³, had an impact on admissions due to neuroendocrine disease, RR: 1.010 95% CI (1.007-1.035). The breakdown by sex showed that in the case of women, NO₂ was also a risk factor, RR: 1.021 95% CI (1.007-1.035).

CONCLUSION

The results obtained in this study serve to identify risk factors for this disease, such as extreme temperatures in heat waves, O₃ or NO₂. The robust association found between the decrease in sunlight and increase in hospital admissions due to neuroendocrine disease serves to spotlight an environmental factor which has received scant attention in public health until now.

Short-term effects of air pollution and noise on emergency hospital admissions in Madrid and economic assessment

INTRODUCTION

The aim of this study was to study the effect of air pollution and noise has on the population in Madrid Community (MAR) in the period 2013-2018, and its economic impact.

METHODS

Time series study analysing emergency hospital admissions in the MAR due to all causes (ICD-10: A00-R99), respiratory causes (ICD-10: J00-J99) and circulatory causes (ICD-10: I00-I99) across the period 2013-2018. The main independent variables were mean daily PM_2.5, PM₁₀, NO₂, 8-h ozone concentrations, and noise. We controlled for meteorological variables, Public Holidays, seasonality, and the trend and autoregressive nature of the series, and fitted generalised linear models with a Poisson regression link to ascertain the relative risks and attributable risks. In addition, we made an economic assessment of these hospitalisations.

RESULTS

The following associations were found: NO₂ with admissions due to natural (RR: 1.007, 95% CI: 1.004-1.011) and respiratory causes (RR: 1.012, 95% CI: 1.005-1.019); 8-h ozone with admissions due to natural (RR: 1.049, 95% CI: 1.014-1.046) and circulatory causes (RR: 1.088, 95% CI: 1.039-1.140); and diurnal noise (L_Aeq7-23h) with admissions due to natural (RR: 1.001, 95% CI: 1.001-1.002), respiratory (RR: 1.002, 95% CI: 1.001-1.003) and circulatory causes (RR: 1.003, 95% CI: 1.002-1.005). Every year, a total of 8246 (95% CI: 4580-11,905) natural-cause admissions are attributable to NO₂, with an estimated cost of close on €120 million and 5685 (95% CI: 2533-8835) attributed to L_Aeq7-23h with an estimated cost of close on €82 million.

CONCLUSIONS

Nitrogen dioxide, ozone and noise are the main pollutants to which a large number of hospitalisations in the MAR are attributed, and are thus responsible for a marked deterioration in population health and high related economic impact.

Does the meteorological origin of heat waves influence their impact on health? A 6-year morbidity and mortality study in Madrid (Spain)

BACKGROUND

In Spain, two synoptic-scale conditions influence heat wave formation. The first involves advection of warm and dry air masses carrying dust of Saharan origin (North African Dust (NAF) = 1). The second entails anticyclonic stagnation with high insolation and stability (NAF) = 0). Some studies show that the meteorological origin of these heat waves may affect their impact on morbidity and mortality.

OBJECTIVE

To determine whether the impact of heat waves on health outcomes in Madrid (Spain) during 2013-2018 varied by synoptic-scale condition.

METHODOLOGY

Outcome data consist of daily mortality and daily hospital emergency admissions (morbidity) for natural, circulatory, and respiratory causes. Predictors include daily maximum and minimum temperatures and daily mean concentrations of NO₂, PM₁₀, PM_2.5, NO₂, and O₃. Analyses adjust for insolation, relative humidity, and wind speed. Generalized linear models were performed with Poisson link between the variables controlling for trend, seasonality, and auto-regression in the series. Relative Risks (RR) and Attributable Risks (AR) were determined. The RRs for mortality attributable to high temperatures were similar regardless of NAF status. For hospital admissions, however, the RRs for hot days with NAF = 0 are higher than for days with NAF = 1. We also found that atmospheric pollutants worsen morbidity and mortality, especially PM₁₀ concentrations when NAF = 1 and O₃ concentrations when NAF = 0.

RESULTS

The effect of heat waves on morbidity and mortality depends on the synoptic situation. The impact is greater under anticyclonic stagnation conditions than under Saharan dust advection. Further, the health impact of pollutants such as PM₁₀ and O₃ varies according to the synoptic situation.

CONCLUSIONS

Based on these findings, we strongly recommend prevention plans to include data on the meteorological situation originating the heat wave, on a synoptic-scale, as well as comprehensive preventive measures against the compounding effect of high temperatures and pollution.

Temporal evolution of threshold temperatures for extremely cold days in Spain

In contrast to research on heat waves, there are no studies in recent years that analyze the temporal evolution of threshold temperatures (Tthreshold) for extremely cold days (ECD). It is unknown whether threshold temperatures have increased more quickly than the minimum daily temperature (Tmin) in recent years. The objective of this study was to analyze the temporal evolution of the minimum daily temperature (Tmin) in a group of Spanish provinces and compare it with the evolution of threshold temperatures. An ecological, retrospective time series study was carried out using daily observations between January 1, 1983 and December 31, 2018 (36 years) in 10 provinces that are representative of the different climate territories in Spain. For each representative observatory in each province, the values of Tmin were obtained for the winter months (November-March). The value of Tthreshold was determined for each province and each year, using dispersion diagrams for the pre-whitened series, with daily mortality due to natural causes displayed on the Y axis (CIEX: A00-R99) and Tmin grouped by 10 degree intervals on the X axis. To determine the temporal evolution of Tmin and Tthreshold for each province, linear models were fitted, with time as the independent variable. During the winter months, Tmin increased at an average rate of 0.2 °C/decade (IC95: 0.1-0.3), while Tthreshold remained practically constant during the period, at 0.1 °C/decade (IC95% -0.1 0.3). These values are much lower than those obtained in the case of heat, both in terms of the evolution of maximum daily temperature and that of Tthreshold. In conclusion, the fact that this trend has been maintained across time in a scenario of climate change, with a slow increase in minimum daily temperatures and constant values of Threshold, suggests a decrease in the number of ECD.

Air pollution and meteorological variables' effects on COVID-19 first and second waves in Spain

The aim of this research is to study the influence of atmospheric pollutants and meteorological variables on the incidence rate of COVID-19 and the rate of hospital admissions due to COVID-19 during the first and second waves in nine Spanish provinces. Numerous studies analyze the effect of environmental and pollution variables separately, but few that include them in the same analysis together, and even fewer that compare their effects between the first and second waves of the virus. This study was conducted in nine of 52 Spanish provinces, using generalized linear models with Poisson link between levels of PM₁₀, NO₂ and O₃ (independent variables) and maximum temperature and absolute humidity and the rates of incidence and hospital admissions of COVID-19 (dependent variables), establishing a series of significant lags. Using the estimators obtained from the significant multivariate models, the relative risks associated with these variables were calculated for increases of 10 µg/m³ for pollutants, 1 °C for temperature and 1 g/m³ for humidity. The results suggest that NO₂ has a greater association than the other air pollution variables and the meteorological variables. There was a greater association with O₃ in the first wave and with NO₂ in the second. Pollutants showed a homogeneous distribution across the country. We conclude that, compared to other air pollutants and meteorological variables, NO₂ is a protagonist that may modulate the incidence and severity of COVID-19, though preventive public health measures such as masking and hand washing are still very important.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s13762-022-04190-z.

Evolution of the minimum mortality temperature (1983-2018): Is Spain adapting to heat?

The objective of this study was to analyze at the level of Spain's 52 provinces province level the temporal evolution of minimum mortality temperatures (MMT) from 1983 to 2018, in order to determine whether the increase in MMT would be sufficient to compensate for the increase in environmental temperatures in Spain for the period. It also aimed to analyze whether the rate of evolution of MMT would be sufficient, were it to remain constant, to compensate for the predicted increase in temperatures in an unfavorable (RCP 8.5) emissions scenario for the time horizon 2051-2100. The independent variable was made up of maximum daily temperature data (Tmax) for the summer months in the reference observatories of each province for the 1983-2018 period. The dependent variable was daily mortality rate due to natural causes (ICD 10: A00-R99). For each year and province, MMT was determined using a quadratic or cubic fit (p < 0.05). Based on the annual MMT values, a linear fit was carried out that allowed for determining the time evolution of MMT. These values were compared with the evolution of Tmax registered in each observatory during the 1983-2018 analyzed period and with the predicted values of Tmax obtained for an RCP8.5 scenario for the period 2051-2100. The rate of global variance in Tmax in the summer months in Spain during the 1983-2018 period was 0.41 °C/decade, while MMT across the whole country increased at a rate of 0.64 °C/decade. Variations in the provinces were heterogeneous. For the 2051-2100 time horizon, there was predicted increase in Tmax values of 0.66 °C/decade, with marked geographical differences. Although at the global level it is possible to speak of adaptation, the heterogeneities among the provinces suggest that the local level measures are needed in order to facilitate adaptation in those areas where it is not occurring.

Evolution of the minimum mortality temperature (1983-2018): Is Spain adapting to heat?

The objective of this study was to analyze at the level of Spain's 52 provinces province level the temporal evolution of minimum mortality temperatures (MMT) from 1983 to 2018, in order to determine whether the increase in MMT would be sufficient to compensate for the increase in environmental temperatures in Spain for the period. It also aimed to analyze whether the rate of evolution of MMT would be sufficient, were it to remain constant, to compensate for the predicted increase in temperatures in an unfavorable (RCP 8.5) emissions scenario for the time horizon 2051-2100. The independent variable was made up of maximum daily temperature data (Tmax) for the summer months in the reference observatories of each province for the 1983-2018 period. The dependent variable was daily mortality rate due to natural causes (ICD 10: A00-R99). For each year and province, MMT was determined using a quadratic or cubic fit (p < 0.05). Based on the annual MMT values, a linear fit was carried out that allowed for determining the time evolution of MMT. These values were compared with the evolution of Tmax registered in each observatory during the 1983-2018 analyzed period and with the predicted values of Tmax obtained for an RCP8.5 scenario for the period 2051-2100. The rate of global variance in Tmax in the summer months in Spain during the 1983-2018 period was 0.41 °C/decade, while MMT across the whole country increased at a rate of 0.64 °C/decade. Variations in the provinces were heterogeneous. For the 2051-2100 time horizon, there was predicted increase in Tmax values of 0.66 °C/decade, with marked geographical differences. Although at the global level it is possible to speak of adaptation, the heterogeneities among the provinces suggest that the local level measures are needed in order to facilitate adaptation in those areas where it is not occurring.

Functional analysis of human glucokinase gene mutations causing MODY2: exploring the regulatory mechanisms of glucokinase activity

AIMS/HYPOTHESIS

Glucokinase (GCK) acts as a glucose sensor in the pancreatic beta cell and regulates insulin secretion. In the gene encoding GCK the heterozygous mutations that result in enzyme inactivation cause MODY2. Functional studies of naturally occurring GCK mutations associated with hyperglycaemia provide further insight into the biochemical basis of glucose sensor regulation.

MATERIALS AND METHODS

Identification of GCK mutations in selected MODY patients was performed by single-strand conformation polymorphism and direct sequencing. The kinetic parameters and thermal stability of recombinant mutant human GCK were determined, and in pull-down assays the effect of these mutations on the association of GCK with glucokinase (hexokinase 4) regulator (GCKR, also known as glucokinase regulatory protein [GKRP]) and 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase (PFKFB1, also known as PFK2) was tested.

RESULTS

We identified three novel GCK mutations: the insertion of an asparagine residue at position 161 (inserN161) and two missense mutations (M235V and R308W). We also identified a fourth mutation (R397L) reported in a previous work. Functional characterisation of these mutations revealed that insertion of asparagine residue N161 fully inactivates GCK, whereas the M235V and R308W mutations only partially impair enzymatic activity. In contrast, GCK kinetics was almost unaffected by the R397L mutation. Although none of these mutations affected the interaction of GCK with PFKFB1, we found that the R308W mutation caused protein instability and increased the strength of interaction with GCKR.

CONCLUSIONS/INTERPRETATION

Our results show that different MODY2 mutations impair GCK function through different mechanisms such as enzymatic activity, protein stability and increased interaction with GCKR, helping further elucidate the regulation of GCK activity.

The human HNF-3 genes: cloning, partial sequence and mutation screening in patients with impaired glucose homeostasis

Hepatocyte nuclear factors 3 (HNF-3 alpha, -3 beta and -3 gamma) belong to an evolutionarily conserved family of transcription factors that are critical for diverse biological processes such as development, differentiation and metabolism. Gene expression studies have shown that HNF3 proteins are critical regulators of the early-onset type 2 diabetes genes HNF-1 alpha, HNF-4 alpha and IPF-1/PDX-1 (MODY3, 1 and 4, respectively) and of glucagon transcription and pancreatic alpha-cell function. In this study, we investigated whether genetic variation in the genes encoding HNF-3 alpha, HNF-3 beta and HNF-3 gamma predisposes humans to hyperglycemic or hypoglycemic syndromes. In addition, we report the cloning and partial nucleotide sequence of the human HNF-3 alpha, -3 beta and -3 gamma genes. Mutation screening included 96 subjects with type 2 diabetes mellitus, as well as one family with persistent neonatal hypoglycemia. No functional mutations were detected in the coding sequences of the three HNF-3 genes. Our results suggest that mutations in HNF-3 genes are not a common cause of type 2 diabetes mellitus. The data provided will facilitate genetic studies in other populations and will advance our understanding of the role HNF-3 plays in the development of diabetes mellitus and other metabolic disorders of glucose homeostasis.

Impaired glucose homeostasis and neonatal mortality in hepatocyte nuclear factor 3alpha-deficient mice

Hepatocyte nuclear factors 3 (HNF-3) belong to an evolutionarily conserved family of transcription factors that are critical for diverse biological processes such as development, differentiation, and metabolism. To study the physiological role of HNF-3alpha, we generated mice that lack HNF-3alpha by homologous recombination in embryonic stem cells. Mice homozygous for a null mutation in the HNF-3alpha gene develop a complex phenotype that is characterized by abnormal feeding behavior, progressive starvation, persistent hypoglycemia, hypotriglyceridemia, wasting, and neonatal mortality between days 2 and 14. Hypoglycemia in HNF-3alpha-null mice leads to physiological counter-regulatory responses in glucocorticoid and growth hormone production and an inhibition of insulin secretion but fails to stimulate glucagon secretion. Glucagon-producing pancreatic alpha cells develop normally in HNF-3alpha-/- mice, but proglucagon mRNA levels are reduced 50%. Furthermore, the transcriptional levels of neuropeptide Y are also significantly reduced shortly after birth, implying a direct role of HNF-3alpha in the expression of these genes. In contrast, mRNA levels were increased in HNF-3 target genes phosphofructo-2-kinase/fructose-2,6-bisphophatase, insulin growth factor binding protein-1, and hexokinase I of HNF-3alpha-null mice. Mice lacking one or both HNF-3alpha alleles also show impaired insulin secretion and glucose intolerance after an intraperitoneal glucose challenge, indicating that pancreatic beta-cell function is also compromised. Our results indicate that HNF-3alpha plays a critical role in the regulation of glucose homeostasis and in pancreatic islet function.

Functional characterization of the MODY1 gene mutations HNF4(R127W), HNF4(V255M), and HNF4(E276Q)

Genetic studies have shown that mutations in the gene encoding hepatocyte nuclear factor (HNF)-4alpha, a member of the steroid/thyroid hormone receptor superfamily, give rise to early-onset type 2 diabetes (MODY1). The functional properties of mutant HNF-4alpha proteins and the molecular mechanisms by which they impair insulin secretion are largely unknown. In the present study, we have investigated transcriptional activation, DNA binding properties, and protein dimerization activity of three HNF-4alpha missense mutations--HNF4(R127W), HNF4(V255M), and HNF4(E276Q)--that have been associated with type 2 diabetes. We demonstrate that HNF4(E276Q) has lost its ability to bind to HNF-4 consensus binding sites and activate transcription. HNF4(E276Q) had no effect on the functional activity of wild-type HNF-4alpha in the pancreatic beta-cell line HIT-T15, but it exhibited weak dominant-negative activity in other cell types. Analysis of HNF4(E276Q) protein showed that it exists in two forms: a full length 54-kDa protein and a 40-kDa COOH-terminal protein lacking the NH2-terminal transactivation domain and the DNA binding domain. Immunoprecipitation experiments indicate that this truncated protein can bind to wild-type HNF-4alpha and may be responsible for the weak dominant-negative effects seen in these cells. In addition, we show that the transcriptional transactivation of HNF4(R127W) and HNF4(V255M) is indistinguishable from that of wild-type HNF-4alpha, suggesting that they are sequence polymorphisms. Our results demonstrate that HNF4(E276Q) is a loss-of-function mutation and that it identifies glutamic acid 276 in alpha-helix 8 of the ligand-binding domain of HNF-4alpha protein as a critical residue for DNA binding, transcriptional activation, and protein stability in vivo.

Regulation of a transcription factor network required for differentiation and metabolism

Hepatocyte nuclear factors (HNFs) are a heterogeneous class of evolutionarily conserved transcription factors that are required for cellular differentiation and metabolism. Mutations in HNF-1alphaand HNF-4alpha genes impair insulin secretion and cause type 2 diabetes. Regulation of HNF-4/HNF-1 expression by HNF-3alpha and HNF-3beta was studied in embryoid bodies in which one or both HNF-3alpha or HNF-3beta alleles were inactivated. HNF-3beta positively regulated the expression of HNF-4alpha/HNF-1alpha and their downstream targets, implicating a role in diabetes. HNF-3beta was also necessary for expression of HNF-3alpha. In contrast, HNF-3alpha acts as a negative regulator of HNF-4alpha/HNF-1alpha demonstrating that HNF-3alpha and HNF-3beta have antagonistic transcriptional regulatory functions in vivo. HNF-3alpha does not appear to act as a classic biochemical repressor but rather exerts its negative effect by competing for HNF-3 binding sites with the more efficient activator HNF-3beta. In addition, the HNF-3alpha/HNF-3beta ratio is modulated by the presence of insulin, providing evidence that the HNF network may have important roles in mediating the action of insulin.

The regulatory characteristics of yeast fructose-1,6-bisphosphatase confer only a small selective advantage

The question of how the loss of regulatory mechanisms for a metabolic enzyme would affect the fitness of the corresponding organism has been addressed. For this, the fructose-1,6-bisphosphatase (FbPase) from Saccharomyces cerevisiae has been taken as a model. Yeast strains in which different controls on FbPase (catabolite repression and inactivation; inhibition by fructose-2,6-bisphosphate and AMP) have been removed have been constructed. These strains express during growth on glucose either the native yeast FbPase, the Escherichia coli FbPase which is insensitive to inhibition by fructose-2,6-bisphosphate, or a mutated E. coli FbPase with low sensitivity to AMP. Expression of the heterologous FbPases increases the fermentation rate of the yeast and its generation time, while it decreases its growth yield. In the strain containing high levels of an unregulated bacterial FbPase, cycling between fructose-6-phosphate and fructose-1,6-bisphosphate reaches 14%. It is shown that the regulatory mechanisms of FbPase provide a slight but definite competitive advantage during growth in mixed cultures.

Molecular cloning and sequence analysis of factor C cDNA from the Singapore horseshoe crab, Carcinoscorpius rotundicauda

Two forms of Factor C cDNAs: CrFC21 (3448 bp) and CrFC26 (4182 bp) have been cloned into lambda gt22. CrFC26 includes 568 nucleotides of 5' untranslated region (5' UTR) containing seven ATGs before the real initiation site, an open reading frame (ORF) of 3249 nucleotides, a stop codon, and 365 nucleotides of 3' untranslated sequence. There are four polyadenylation signals and six potential glycosylation sites. The ORF codes for a signal peptide of 24 amino acids and a Factor C zymogen of 1059 residues. The CrFC21 lacks most of the 5' UTR, and has some base changes in its ORF. The predicted secondary mRNA structures of the 5' end of CrFC26 showed numerous stem-and-loop structures, thus obscuring its real start codon. In contrast, CrFC21 has a well-exposed AUG start site, and expresses Factor C in transcription-translation reactions in vitro. There is a typical serine protease catalytic triad of Asp-His-Ser, which is structurally like prothrombin, but catalytically more similar to trypsin. Although an overall homology of 97.7% was observed in comparison with the Tachypleus tridentatus Factor C (TtFC) cDNA, there were notable differences in the restriction sites and subtle base substitutions in the CrFC cDNA. The high degree of homology between Factor C from T. tridentatus and C. rotundicauda substantiates, at the molecular level, the proximity of these two species in the course of evolution. This finding contravenes the apparent disparities with respect to their morphology, ecological habitat, and taxonomical classification.

Catabolite inactivation of heterologous fructose-1,6-bisphosphatases and fructose-1,6-bisphosphatase-beta-galactosidase fusion proteins in Saccharomyces cerevisiae

Fructose-1,6-bisphosphatase (FruP2ase) from Saccharomyces cerevisiae is rapidly inactivated upon addition of glucose to a culture growing on non-sugar carbon sources. Under the same conditions the FruP2ases from Schizosaccharomyces pombe or Escherichia coli expressed in S. cerevisiae were not affected. A chimaeric protein containing the first 178 amino acids from the N-terminal half of S. cerevisiae FruP2ase fused to E. coli beta-galactosidase was susceptible to catabolite inactivation. Elimination of a putative destruction box, RAELVNLVG ... KK .... K., beginning at amino acid 60 did not prevent catabolite inactivation. Similarly a change of the vacuole-targeting sequence QKKLD, amino acids 80-84, to QKNSD did not affect significantly the course of inactivation of beta-galactosidase. A fusion protein carrying only the first 138 amino acids from FruP2ase was inactivated at a higher rate than the one carrying the first 178, suggesting the existence of a protective region between amino acids 138 and 178. A fusion protein carrying the first 81 amino acids from FruP2ase was inactivated by glucose at a similar rate to the one carrying the 178 amino acids, but one with only the first 18 amino acids was resistant to catabolite inactivation. Inactivation of FruP2ase in mutants ubr1 that lack a protein required for ubiquitin-dependent proteolysis, or pra1 that lack vacuolar protease A, proceeded as in a wild type. Our results suggest that at least two domains of FruP2ase may mark beta-galactosidase for catabolite inactivation and that FruP2ase can be inactivated by a mechanism independent of transfer to the vacuole.

Two forms of factor C from the amoebocytes of Carcinoscorpius rotundicauda: purification and characterisation

The two apparent form of the endotoxin-sensitive Factor C which were found to exist in the amoebocytes of horseshoe crabs have been separately purified to homogeneity from the lysate of the South-East Asian species, Carcinoscorpius rotundicauda. Both forms are serine proteinase zymogens having an apparent molecular mass of 132 kDa. By reducing SDS-PAGE, one was shown to consist of a single polypeptide while the other has a heavy chain (80 kDa) and a light chain (52 kDa) bridged by disulfide linkage(s). Both zymogen forms have endotoxin (lipopolysaccharide) receptors to which endotoxin binds to activate their catalytic sites. However, single-chain Factor C appears to have higher-affinity endotoxin-binding sites which are competitively but reversibly occupied by DMSO when the latter was added during its purification. Another salient difference between the two forms of Factor C is exhibited in their manner of activation by endotoxin. While double-chain Factor C appears similar to that of Tachypleus tridentatus, single-chain Factor C did not undergo any proteolytic cleavage upon activation. This conformational transition of zymogen activation suggests an alternative reversible pathway of endotoxin activation for the single-chain Factor C.

Futile cycles in Saccharomyces cerevisiae strains expressing the gluconeogenic enzymes during growth on glucose

The systems which control the levels of the gluconeogenic enzymes in Saccharomyces cerevisiae have been bypassed to ascertain their physiological significance. The coding regions of the genes FBP1 and PCK1, which encode fructose-1,6-bisphosphatase and phosphoenolpyruvate carboxykinase, have been put under the control of the promoter of ADC1 (alcohol dehydrogenase I), a gene not repressed by glucose, and introduced into yeast in multicopy plasmids. The transformed yeast cells show high levels of the gluconeogenic enzymes during growth on glucose. Generation time and growth yield of yeast expressing either fructose-1,6-bisphosphatase or phosphoenolpyruvate carboxykinase are not significantly different from those of the wild-type strain. For a strain expressing both enzymes the increase in generation time is about 20% and the decrease in growth yield around 30%. The concentration of ATP is about 1.5 mM in the growing cells of the different strains. The extent of in vivo cycling was measured by 13C NMR in cell-free extracts from yeast growing on [6-13C]glucose. Cycling between fructose-6-phosphate and fructose-1,6-bisphosphate is < 2%, most likely due to the very strong inhibition of fructose-1,6-bisphosphatase by fructose 2,6-bisphosphate. Cycling between phosphoenolpyruvate and pyruvate is low, but a precise figure could not be obtained due to poor equilibration of label between carbons 2 and 3 of oxaloacetate.

Inactivation of factor C by dimethyl sulfoxide inhibits coagulation of the Carcinoscorpius amoebocyte lysate

The inhibition by dimethyl sulfoxide of the coagulation of the Carcinoscorpius Amoebocyte Lysate was found to be due to the inactivation of Factor C enzyme in the coagulation cascade and not due to the inactivation of proclotting enzyme as earlier reported in studies done on Limulus. Kinetic studies on both purified enzymes revealed that dimethyl sulfoxide completely but reversibly inhibited the activation of Factor C by endotoxins in a non-competitive manner whereas, it did not inhibit, albeit retard the activity of proclotting enzyme. This result also explains why clotting enzyme was shown to be largely unaffected by dimethyl sulfoxide.