Exposure to particulate matter: Direct and indirect role in the COVID-19 pandemic.

Knowing the transmission factors and the natural environment that favor the spread of a viral infection is crucial to stop outbreaks and develop effective preventive strategies. This work aims to evaluate the role of Particulate Matter (PM) in the COVID-19 pandemic, focusing especially on that of PM as a vector for SARS-CoV-2. Exposure to PM has been related to new cases and to the clinical severity of people infected by SARS-CoV-2, which can be explained by the oxidative stress and the inflammatory response generated by these particles when entering the respiratory system, as well as by the role of PM in the expression of ACE-2 in respiratory cells in human hosts. In addition, different authors have detected SARS-CoV-2 RNA in PM sampled both in outdoor and indoor environments. The results of various studies lead to the hypothesis that the aerosols emitted by an infected person could be deposited in other suspended particles, sometimes of natural but especially of anthropogenic origin, that form the basal PM. However, the viability of the virus in PM has not yet been demonstrated. Should PM be confirmed as a vector of transmission, prevention strategies ought to be adapted, and PM sampling in outdoor environments could become an indicator of viral load in a specific area.

Air pollution and occupational accidents in the Community of Madrid, Spain.

Spain is the EU member country with the third highest total number of accidents in work and has the third highest incidence rate. We have performed a descriptive analysis of occupational accidents in the Community of Madrid (Spain) between 2005 and 2013 to study the impact of air quality on the prevalence of occupational accidents, clarifying how vulnerable to air pollution outdoor workers are. In order to evaluate the association between each air pollutant and work accidents, a quasi-Poisson generalized additive model was fitted. The accident rate followed a downward and statistically significant trend (p = 0.001). The year with the highest accident rate was 2006, with 4981 occupational accidents per 100,000. Occupational accidents follow a temporary pattern (there are differences in the number of accidents according to the month of the year and to the day of the week). Exposure to PM10 and NO2 increases the risk of having an accident at work, especially for outdoor workers. An increase of 10 µg/m3 in daily concentration resulted in increases in accidents for outdoor workers of 2.5% for PM10 and 6.4% for NO2.

A time series analysis of the relationship between apparent temperature, air pollutants and ischemic stroke in Madrid, Spain.

The understanding of the role of environment on the pathogenesis of stroke is gaining importance in the context of climate change. This study analyzes the temporal pattern of ischemic stroke (IS) in Madrid, Spain, during a 13-year period (2001-2013), and the relationship between ischemic stroke (admissions and deaths) incidence and environmental factors on a daily scale by using a quasi-Poisson regression model. To assess potential delayed and non-linear effects of air pollutants and Apparent Temperature (AT), a biometeorological index which represents human thermal comfort on IS, a lag non-linear model was fitted in a generalized additive model. The mortality rate followed a downward trend over the studied period, however admission rates progressively increased. Our results show that both increases and decreases in AT had a marked relationship with IS deaths, while hospital admissions were only associated with low AT. When analyzing the cumulative effects (for lag 0-14 days), with an AT of 1.7 °C (percentile 5%) a RR of 1.20 (95% CI, 1.05-1.37) for IS mortality and a RR of 1.09 (95% CI, 0.91-1.29) for morbidity is estimated. Concerning gender differences, men show higher risks of mortality in low temperatures and women in high temperatures. No significant relationship was found between air pollutant concentrations and IS morbi-mortality, but this result must be interpreted with caution, since there are strong spatial fluctuations of the former between nearby geographical areas that make it difficult to perform correlation analyses.

The genetic profile of bone marrow transplant patients in different samples of forensic interest.

Humans constantly lose epithelial cells, and these biological traces are frequently studied in the context of criminal investigations. The objective of this work was to examine the genetic profile in samples of forensic interest (nail and skin epithelial cells) of bone marrow transplant patients and discuss its forensic and clinical implications. The genetic profile of nail, epidermal cells and blood samples of patients receiving HSCT was analyzed by the amplification and sequencing of 38 insertion/deletion polymorphisms and 15 short tandem repeat polymorphisms. In this analysis, the age of patients and donors, the time elapsed from the transplant, the type of conditioning prior to the transplant and whether the patient suffered graft-versus-host disease were considered. Donor chimerism can be detected in the DNA extracted from nail and skin epithelial cells of transplant patients. No statistically significant correlation was found between the type of conditioning and the percentage of donor DNA in nail (p > 0.05). A positive correlation, without statistical significance, was encountered when we analyzed the relationship between the time elapsed from the transplant with the percent donor chimerism found in epithelial cells of the epidermis and in nails. We conclude that within a judicial context (e.g. when testifying as an expert witness) it is necessary to consider whether we are facing a possible transplant patient or a person who has been a bone marrow donor.

Who is legally responsible for deaths caused by air pollution?

A person's death is deemed unnatural when it is the result of an external force. This definition, however, does not apply when the cause of death is a respiratory or cardiovascular process triggered by a high concentration of an air pollutant, even if other deaths from toxicological causes (poisonings, overdoses, etc.) are. The distinction between natural and unnatural cause of death, although not internationally standardized, is critical in determining wrongfulness and liability, which in turn can have financial and/or legal repercussions. Even though the World Health Organization and other medical and scientific organizations have shown that air pollution contributes to several million deaths every year, there are currently no practical means to determine whether a person was subjected to high concentrations of atmospheric pollution before their death; indeed, the ability to find evidence of this type of exposition could prove very interesting from a forensic standpoint.

Integrating and analyzing medical and environmental data using ETL and Business Intelligence tools.

Processing data that originates from different sources (such as environmental and medical data) can prove to be a difficult task, due to the heterogeneity of variables, storage systems, and file formats that can be used. Moreover, once the amount of data reaches a certain threshold, conventional mining methods (based on spreadsheets or statistical software) become cumbersome or even impossible to apply. Data Extract, Transform, and Load (ETL) solutions provide a framework to normalize and integrate heterogeneous data into a local data store. Additionally, the application of Online Analytical Processing (OLAP), a set of Business Intelligence (BI) methodologies and practices for multidimensional data analysis, can be an invaluable tool for its examination and mining. In this article, we describe a solution based on an ETL + OLAP tandem used for the on-the-fly analysis of tens of millions of individual medical, meteorological, and air quality observations from 16 provinces in Spain provided by 20 different national and regional entities in a diverse array for file types and formats, with the intention of evaluating the effect of several environmental variables on human health in future studies. Our work shows how a sizable amount of data, spread across a wide range of file formats and structures, and originating from a number of different sources belonging to various business domains, can be integrated in a single system that researchers can use for global data analysis and mining.

Association Between Suicide and Environmental Variables in the North of Spain: A 14-Year Analysis.

Suicide is a serious public health problem around the world. Since the nineteenth century, the impact of socio-environmental factors on suicide has attracted much public attention, especially in the context of global climate change. We have performed a retrospective correlation study that analyzes the demographic pattern of suicide in Cantabria, a northern coastland region of Spain. Moreover, we have created a multivariable binomial regression model to study the relationship between suicide and environmental factors (atmospheric pollutants and meteorological variables) among January 1, 2000, and December 31, 2013 in the province. During the 14-year study period, there was a suicide annual incidence of 4.9 cases per 100,000 population in Cantabria. The incidence was highest in adults aged 70-74 years old (11.8 per 100,000 population). The most common method group of suicide was hanging, strangulation and suffocation, accounting for 49.3% of all suicide deaths. When correlating suicide and meteorological variables, a statistically significant association was found with the level of cloudiness (p = 0.007). According to our results, an increase of one eighth of sky cloud-cover correlated to a 7% increase in total deaths by suicide and the association was especially strong during spring.

Indel analysis by droplet digital PCR: a sensitive method for DNA mixture detection and chimerism analysis.

Several methods have been developed to determinate genetic profiles from a mixed samples and chimerism analysis in transplanted patients. The aim of this study was to explore the effectiveness of using the droplet digital PCR (ddPCR) for mixed chimerism detection (a mixture of genetic profiles resulting after allogeneic hematopoietic stem cell transplantation (HSCT)). We analyzed 25 DNA samples from patients who had undergone HSCT and compared the performance of ddPCR and two established methods for chimerism detection, based upon the Indel and STRs analysis, respectively. Additionally, eight artificial mixture DNA samples were created to evaluate the sensibility of ddPCR. Our results show that the chimerism percentages estimated by the analysis of a single Indel using ddPCR were very similar to those calculated by the amplification of 15 STRs (r 2 = 0.970) and with the results obtained by the amplification of 38 Indels (r 2 = 0.975). Moreover, the amplification of a single Indel by ddPCR was sensitive enough to detect a minor DNA contributor comprising down to 0.5 % of the sample. We conclude that ddPCR can be a powerful tool for the determination of a genetic profile of forensic mixtures and clinical chimerism analysis when traditional techniques are not sensitive enough.

Non-synonymous WNT16 polymorphisms alleles are associated with different osteoarthritis phenotypes.

Hereditary factors have a strong influence on osteoarthritis (OA). The Wnt pathway is involved in bone and cartilage homeostasis. Hence, we hypothesized that allelic variations of WNT16 could influence the OA phenotype. We studied 509 Caucasian patients undergoing joint replacement due to severe primary OA. Radiographs were used to classify the OA as atrophic or hypertrophic. Two nonsynonymous polymorphisms of WNT16 (rs2707466 and rs2908004) were analyzed. The association between the genotypes and the OA phenotype was analyzed by logistic regression and adjusted for age and body mass index. A genotype-phenotype association was found in the sex-stratified analysis. Thus, there was a significant difference in the genotypic frequencies of rs2707466 between hypertrophic and atrophic hip OA in males (p = 0.003), with overrepresentation of G alleles in the hypertrophic phenotype (OR 2.08; CI 1.28-3.38). An association in the same direction was observed between these alleles and the type of knee OA, with G alleles being more common in the hypertrophic than in atrophic knee phenotypes (p = 0.008; OR 1.956, CI 1.19-3.19). Similar associations were found for the rs2908004 SNP, but it only reached statistical significance for knee OA (p = 0.017; OR 0.92, CI 0.86-0.989). This is the first study attempting to explore the association of genetic variants with the OA phenotype. These data suggest the need to consider the OA phenotype in future genetic association studies of OA.

Genetic DNA profile in urine and hair follicles from patients who have undergone allogeneic hematopoietic stem cell transplantation.

Biological samples from patients who have undergone allogeneic hematopoietic stem cell transplantation (HSCT) constitute a challenge for individual identification. In this study we analyzed the genetic profiles (by the amplification of 15 autosomic STRs) of HSCT patients found in different types of samples (blood, hair and urine) that may be the source of DNA in civil or criminal forensic cases. Our results show that while in hair follicles the donor component was not detected in any patient, thus being a reliable source of biological material for forensic identification, mixed chimerism was detected in urine samples from all patient, and no correlation was found between the time elapsed from the transplant and the percentage of chimerism. These results certainly have practical implications if the urine is being considered as a source of DNA for identification purposes in HSTC patients. Moreover, taking into consideration that chimerism was found not only in patients with leukocyturia (given the hematopoietic origin of leukocytes, this was expected), but also in those without observable leukocytes in the sediment, we conclude that an alternative source or sources of donor DNA must be implicated.

Development of a new highly efficient 17 X-STR multiplex for forensic purposes.

Currently, two of the most widely used X-chromosome STR (X-STR) multiplexes are composed by ten (GHEP-ISFG decaplex) and 12 markers (Investigator Argus X-12 Kit). The number of markers included is a drawback for complex relative testing cases, likewise the large size of some amplicons difficult their application to degraded samples. Here, we present a new multiplex of 17 X-STRs with the aim of increasing both the resolution power and forensic applicability. This newly proposed set includes the X-STRs of the GHEP-ISFG decaplex, four X-STRs from the Investigator Argus X-12 Kit, three of them also included in the decaplex, and six additional more. In order to ensure the allele designation, an allelic ladder was developed. The validation of the present multiplex was carried out according to the revised guidelines by the SWGDAM (Scientific Working Group on DNA Analysis Methods). A total of 488 unrelated individuals from four different continents were analyzed. The forensic efficiency evaluation showed high values of combined power of discrimination in males (≥0.999999996) and females (≥0.999999999999995) as well as combined paternity exclusion probabilities in trios (≥0.99999998) and duos (≥0.999996). The results presented herein have demonstrated that the new 17 X-STR set constitutes a high-resolution alternative to the current X-STR multiplexes.

Osterix and RUNX2 are Transcriptional Regulators of Sclerostin in Human Bone.

Sclerostin, encoded by the SOST gene, works as an inhibitor of the Wnt pathway and therefore is an important regulator of bone homeostasis. Due to its potent action as an inhibitor of bone formation, blocking sclerostin activity is the purpose of recently developed anti-osteoporotic treatments. Two bone-specific transcription factors, RUNX2 and OSX, have been shown to interact and co-ordinately regulate the expression of bone-specific genes. Although it has been recently shown that sclerostin is targeted by OSX in mice, there is currently no information of whether this is also the case in human cells. We have identified SP-protein family and AML1 consensus binding sequences at the human SOST promoter and have shown that OSX, together with RUNX2, binds to a specific region close to the transcription start site. Furthermore, we show that OSX and RUNX2 activate SOST expression in a co-ordinated manner in vitro and that SOST expression levels show a significant positive correlation with OSX/RUNX2 expression levels in human bone. We also confirmed previous results showing an association of several SOST/RUNX2 polymorphisms with bone mineral density.

Exon array analysis reveals genetic heterogeneity in atypical femoral fractures. A pilot study.

Atraumatic subtrochanteric and diaphyseal (atypical) femoral fractures are a rare, but important adverse event in patients treated with potent anti-resortive agents. The mechanisms involved are unknown and particularly the association with genetic variants has not been explored. The aim of the study was to identify rare genetic variants that could be associated with the occurrence of these fractures. We performed a genome-wide analysis of up to 300,000 variants, mainly distributed in gene coding regions, in 13 patients with atypical femoral fractures and 268 control women, either healthy or with osteoporosis. Twenty one loci were more frequent in the fracture group, with a nominal p value between 1 × 10(-6) and 2.5 × 10(-3). Most patients accumulated two or more allelic variants, and consequently the number of risk variants was markedly different between patients and controls (p = 2.6 × 10(-22)). The results of this pilot study suggest that these fractures are polygenic and are associated with the accumulation of changes in the coding regions of several genes.

A Sclerostin super-producer cell line derived from the human cell line SaOS-2: a new tool for the study of the molecular mechanisms driving Sclerostin expression.

Sclerostin, the product of the SOST gene, is a key regulator of bone homeostasis. Sclerostin interferes with the Wnt signalling pathway and, therefore, has a negative effect on bone formation. Although the importance of sclerostin in bone homeostasis is well established, many aspects of its biology are still unknown. Due to its restricted pattern of expression, in vitro studies of SOST gene regulation are technically challenging. Furthermore, a more profound investigation of the molecular mechanism controlling sclerostin expression has been hampered by the lack of a good human in vitro model. Here, we describe two cell lines derived from the human osteosarcoma cell line SaOS-2 that produce elevated levels of sclerostin. Analysis of the super-producer cell lines showed that sclerostin levels were still reduced in response to parathyroid hormone treatment or in response to mechanical loading, indicating that these regulatory mechanisms were not affected in the presented cell lines. In addition, we did not find differences between the promoter or ECR5 sequences of our clones and the SaOS-2 parental line. However, the methylation of the proximal CpG island located at the SOST promoter was lower in the super-producer clones, in agreement with a higher level of SOST transcription. Although the underlying biological causes of the elevated levels of sclerostin production in this cell line are not yet clear, we believe that it could be an extremely useful tool to study the molecular mechanisms driving sclerostin expression in humans.

Genome-wide profiling of bone reveals differentially methylated regions in osteoporosis and osteoarthritis.

OBJECTIVE: To determine genome-wide methylation profiles of bone from patients with hip osteoarthritis (OA) and those with osteoporotic (OP) hip fractures. METHODS: Trabecular bone pieces were obtained from the central part of the femoral head of 27 patients with hip fractures and 26 patients with hip OA. DNA was isolated, and methylation was explored with Illumina methylation arrays. RNA was extracted, pooled, and deep-sequenced to obtain the whole transcriptome. Differentially methylated regions were identified, and connections between genes with differentially methylated regions were explored by pathway and text-mining analyses. RESULTS: After quality control, methylation of 23,367 CpG sites (13,463 genes) was analyzed. There was a genome-wide inverse relationship between methylation and gene expression in both patient groups. Comparison of OP and OA bones revealed 241 CpG sites, located in 228 genes, with significant differences in methylation (false discovery rate<0.05). Of them, 217 were less methylated in OP than in OA. The absolute methylation differences were >5% in 128 CpG sites and >10% in 45 CpG sites. The differentially methylated genes were enriched for association with bone traits in the genome-wide association study catalog. Pathway analysis and text-mining analysis with Gene Relationships Across Implicated Loci software revealed enrichment in genes participating in glycoprotein metabolism or cell differentiation, and particularly in the homeobox superfamily of transcription factors. CONCLUSION: Genome-wide methylation profiling of bone samples revealed differentially methylated regions in OP and OA. These regions were enriched in genes associated with cell differentiation and skeletal embryogenesis, such as those in the homeobox superfamily, suggesting the existence of a developmental component in the predisposition to these disorders.

Polymorphisms of the farnesyl diphosphate synthase gene modulate bone changes in response to atorvastatin.

Although their primary therapeutic indications are different, aminobisphosphonates and statins target enzymes in the mevalonate pathway, which is critical for bone homeostasis. Previous studies have shown that some polymorphisms of the gene encoding farnesyl diphosphate synthase (FDPS), the main target of aminobisphosphonates, modulate the response to these drugs. In this study, we explored whether those single nucleotide polymorphisms (SNPs) also influence the changes in bone mineral density (BMD) following therapy with statins. Sixty-six patients with coronary heart disease were studied at baseline and after 1-year therapy with atorvastatin. BMD was measured by DXA. Three SNPs of the FDPS gene (rs2297480, rs11264359 and rs17367421) were analyzed by using Taqman assays. The results showed that there was no association between the SNPs and basal BMD. However, rs2297480 and rs11264359 alleles, which are in linkage disequilibrium, were associated with changes in hip BMD following atorvastatin therapy. Thus, patients with AA genotype at the rs2297480 locus had a 0.8 ± 0.8 % increase in BMD at the femoral neck, whereas in patients with AC/CC genotypes, BMD showed a 2.3 ± 0.8 % decrease (p = 0.02). Similar results were obtained regarding changes of BMD at the femoral trochanter and when alleles at the rs11264359 locus were analyzed. However, there was no association between BMD and rs17367421 alleles. In conclusion, these results suggest that polymorphisms of the FDPS gene may influence the bone response to various drugs targeting the mevalonate pathway, including not only aminobisphosphonates but also statins.

Development and validation of a multiplex reaction analyzing eight miniSTRs of the X chromosome for identity and kinship testing with degraded DNA.

We report the development of an effective system for analyzing X chromosome-linked mini short tandem repeat loci with reduced-size amplicons (less than 220 bp), useful for analyzing highly degraded DNA samples. To generate smaller amplicons, we redesigned primers for eight X-linked microsatellites (DXS7132, DXS10079, DXS10074, DXS10075, DXS6801, DXS6809, DXS6789, and DXS6799) and established efficient conditions for a multiplex PCR system (miniX). The validation tests confirmed that it has good sensitivity, requiring as little as 20 pg of DNA, and performs well with DNA from paraffin-embedded tissues, thus showing potential for improved analysis and identification of highly degraded and/or very limited DNA samples. Consequently, this system may help to solve complex forensic cases, particularly when autosomal markers convey insufficient information.

miRNA analysis in vitreous humor to determine the time of death: a proof-of-concept pilot study.

We hypothesized that miRNAs present in vitreous humor could be a sort of "biological black box," storing information about physiological and environmental circumstances at death. As a proof of concept, we analyzed the vitreous humor miRNA signature to explore its forensic potential applications, such as determining the time of the day at death. The miRNAs present in vitreous humor from individuals who died at daytime or at nighttime were analyzed by quantitative real-time polymerase chain reaction (qPCR) array. Target miRNAs showing significant differences between groups were studied in a larger sample by individual qPCR assays. After array analysis of miRNAs in seven samples, significant expression differences were detected between individuals who died at daytime and at nighttime regarding mir-34c, mir-541, mir-888, mir-484, and mir-142-5p. miR-222 appeared as the best reference gene. The results were replicated in 34 vitreous humor samples, and the day-night differences were confirmed for miR-142-5p and miR-541, suggesting that miRNA levels may be related to either the ambient light or the circadian clock at the time of death. There was no correlation between miRNA levels and the time elapsed after death, suggesting that they were stable at least for 24 h. In conclusion, this report supports the potential forensic utility of the analysis of miRNAs in the vitreous humor in applications such as determining the time of death.

Wnt-related genes and large-joint osteoarthritis: association study and replication.

Osteoarthritis (OA) has a strong genetic component, and experimental evidence suggests the involvement of the Wnt pathway in its pathogenesis. Hence, we explored the association of common single nucleotide polymorphisms (SNPs) related to the Wnt pathway with hip and knee OA. Seventy-eight SNPs were analyzed in 606 patients undergoing joint replacement and in 680 control subjects. SNPs were located in WNT1, WNT10A, WNT16, DVL2, FZD5, BCL9, SFRP1, TCF7L1 and SFRP4 genes. SNPs significantly associated with OA were genotyped in an independent group of 369 patients and 407 controls. One SNP in WNT10A, rs3806557, was associated with hip OA in men (OR 0.65, 95% CI 0.46-0.93; p = 0.017), but the association was not confirmed in the replication phase. The TCF7L1 polymorphism rs11547160 was also associated with hip OA in the discovery set, but not in the replication set. Similarly, the SFRP4 SNP rs1052981 was associated with knee OA in women with OR of 2.73 (95% CI 1.29-5.8; p = 0.006), but the association was not replicated. The BCL9 polymorphism rs2353525 was associated with knee OA in women, both in the unadjusted and in the age- and BMI-adjusted analysis (OR 2.01; 95% CI 1.34-2.98; p = 0.0006). A similar, but not statistically significant, trend was observed in the replication phase. In the combined analysis, OR was 3.13 (1.34-7.28; p = 0.009). These data suggest that some SNPs of genes related to the Wnt pathway and, specifically BCL9, influence the genetic predisposition to osteoarthritis of the large joints in a sex- and joint-specific way.

Scrutinizing the Profile and Risk Factors of Suicide: A Perspective from a Case-Control Study Focused on a Northern Region of Spain.

Suicide is a major public health problem the prevention of which has become a priority, and, to this end, knowledge of its risk factors is essential. This study aims to evaluate the impact of some social, medico-legal, and clinical issues on suicide deaths. A total of 135 cases were identified as suicides that occurred in a region of northern Spain between 2018 and 2020. Controls (three for each case) were matched by age, sex, and urban-rural areas. The information was collected retrospectively through electronic health record systems. A binary logistic regression analysis was performed to study the association between individual risk factors and suicide. Being male (78.5%), between 40 and 60 years of age, unmarried (70.9%), and unemployed (85%) were associated with suicide deaths. Although the existence of a previous self-harm attempt is presented as the most robust risk factor (OR 22.121 [8.997-54.389]), the presence of a psychiatric diagnosis (OR 12.583 [7.686-20.601]) and cancer (OR 3.729 [1.845-7.536]) also showed a significant relationship with suicide (p < 0.05). Defining and knowing the risk factors for suicide helps to better understand the profiles of those individuals who are vulnerable, and enables prevention actions to be taken in both social and medical spheres.