Sex in crocodilians is not determined by chromosomes, but by egg incubation temperature, where different temperatures produce different clutch sex ratios. Two patterns have been proposed to describe ...these changes in sex ratios: a 100% female proportion at low and high temperatures with male predominance at intermediate ones (FMF) or a simpler pattern with a single female‐to‐male transition (FM). Over the last three decades, researchers have provided empirical information to support either of these two patterns in different species; however, no consensus has been reached partly because data have not been analysed as a whole.
Here, we aimed at gathering the existing data on these patterns to provide models of temperature‐dependent sex determination in those crocodilians studied so far.
Potentially relevant publications were searched on Web of Knowledge, Scopus, Scielo and Science Direct. Studies that reported results on the sexual identity of crocodilian hatchlings obtained from constant temperature incubation treatments were considered. Using statistical models varying in their underlying assumptions, we evaluated which sex‐determination pattern was best supported for the studied crocodilians and constructed species‐specific and latitude‐specific models.
Based on the 8,458 sexed hatchlings studied throughout 31 studies, we show that the evidence supports a shared FMF pattern in all the crocodilian species for which enough data are available. We find that such pattern changes between species and at different latitudes.
These results suggest a lability of the FMF crocodilian sex‐determination pattern, a key feature under the present climate change scenario.
This is the first time, after more than three decades of research, that an effort is made to gather the existing data on the temperature‐dependent sex determination in Crocodylia in order to derive unified patterns.
An association of ABO blood group and COVID-19 remains controversial.
Following STROBE guidance for observational research, we explored the distribution of ABO blood group in patients hospitalized ...for acute COVID-19 and in those with Long COVID. Contingency tables were made and risk factors were explored using crude and adjusted Mantle-Haentzel odds ratios (OR and 95% CI).
Up to September 2022, there were a total of 5,832 acute COVID-19 hospitalizations in our hospital, corresponding to 5,503 individual patients, of whom blood group determination was available for 1,513 (27.5%). Their distribution by ABO was: 653 (43.2%) group 0, 690 (45.6%) A, 113 (7.5%) B, and 57 (3.8%) AB, which corresponds to the expected frequencies in the general population. In parallel, of 676 patients with Long COVID, blood group determination was available for 135 (20.0%). Their distribution was: 60 (44.4%) from group 0, 61 (45.2%) A, 9 (6.7%) B, and 5 (3.7%) AB. The distribution of the ABO system of Long COVID patients did not show significant differences with respect to that of the total group (p ≥ 0.843). In a multivariate analysis adjusting for age, sex, ethnicity, and severity of acute COVID-19 infection, subgroups A, AB, and B were not significantly associated with developing Long COVID with an OR of 1.015 0.669-1.541, 1.327 0.490-3.594 and 0.965 0.453-2.058, respectively. The effect of the Rh+ factor was also not significant 1,423 0.772-2,622 regarding Long COVID.
No association of any ABO blood subgroup with COVID-19 or developing Long COVID was identified.
Our aim was to assess structural and functional networks in schizophrenia patients; and the possible prediction of the latter based on the former. The possible dependence of functional network ...properties on structural alterations has not been analyzed in schizophrenia. We applied averaged path‐length (PL), clustering coefficient, and density (D) measurements to data from diffusion magnetic resonance and electroencephalography in 39 schizophrenia patients and 79 controls. Functional data were collected for the global and theta frequency bands during an odd‐ball task, prior to stimulus delivery and at the corresponding processing window. Connectivity matrices were constructed from tractography and registered cortical segmentations (structural) and phase‐locking values (functional). Both groups showed a significant electroencephalographic task‐related modulation (change between prestimulus and response windows) in the global and theta bands. Patients showed larger structural PL and prestimulus density in the global and theta bands, and lower PL task‐related modulation in the theta band. Structural network values predicted prestimulus global band values in controls and global band task‐related modulation in patients. Abnormal functional values found in patients (prestimulus density in the global and theta bands and task‐related modulation in the theta band) were not predicted by structural data in this group. Structural and functional network abnormalities respectively predicted cognitive performance and positive symptoms in patients. Taken together, the alterations in the structural and functional theta networks in the patients and the lack of significant relations between these alterations, suggest that these types of network abnormalities exist in different groups of schizophrenia patients.
Unabsorbed proteins reach the colon and are fermented by the microbiota, yielding a variety of harmful metabolites. In the present study, a 16S rRNA gene survey identified the bacterial taxa ...flourishing in 11 batch fermentations with proteins and peptones as the sole fermentable substrates, inoculated with the feces of six healthy adults. Organic acids, ammonia, and indole resulting from protein breakdown and fermentation accumulated in all of the cultures. Analysis of differential abundances among time-points identified Enterobacteriaceae, Burkholderiaceae, and Desulfovibrionaceae (including
,
,
, and
) among the bacteria that especially in the cultures with low inoculation load. Lachnospiraceae and Ruminococcaceae also encompassed many taxa that significantly expanded, mainly in cultures inoculated with high inoculation load, and showed the strongest correlation with the production of ammonium, indole, and
-cresol.
,
,
,
,
,
, and
were among them. Other Firmicutes (e.g.,
,
,
, Erysipelotrichaceae, and Streptococcaceae) and many Bacteroidetes (e.g., Barnesiellaceae, Prevotellaceae, and Rickenelliaceae) decreased. Sequences attributed to
, unresolved at the level of species, presented opposite contributions, resulting in no significant changes in the genus. This study sheds light on the multitude of bacterial taxa putatively participating in protein catabolism in the colon. Protein fermentation was confirmed as unfavorable to health, due to both the production of toxic metabolites and the blooming of opportunistic pathogens and pro-inflammatory bacteria.
This paper proposes a maturity model (MM) to become a smart organization considering Lean as a key enabler to drive I4.0 adoption. A systematic literature review on I4.0 and Lean concepts plus I4.0 ...adoption models was conducted through the PRISMA method based on articles from Scopus and Web of Science databases, and records from official websites (e.g., consulting firms) published between 2011 and 2022. Identifying the Lean and I4.0 relationship and comparing the models’ relevant characteristics allowed the development of the MM proposal. Although previous research refers to Lean and I4.0 collaboration, the opportunity to design a reference model for adopting both approaches was identified since their interaction enhances value creation. The comprehensive model supports structuring the types of Lean principles/methods/tools and I4.0 technologies and their action to link them and define which of them need to be implemented according to the maturity level chronologically. Additionally, the proposed MM provides an adoption roadmap that starts eliminating non-added activities in the initial stages for process improvement to integrate I4.0 enabling technologies later. The model makes it possible for practitioners to generate implementation and development processes oriented toward I4.0 adoption based on maturity levels in which Lean has the starting point at the first ones. Hence, it defines the enabling technologies to be incorporated and linked throughout the value chain, enhancing a Lean culture. This model will help organizations to become “smart” by allowing them to transition toward the best technology investment and continuously add value to their processes, people, and products. Moreover, the results will motivate researchers to study further the application of models for I4.0 adoption in which Lean is integrated to fill the gap with the I4.0 embrace caused by quickly changing industrial environments and the uncertainty and unknowledge of guidelines associated with incorporating new technologies.
The association between COPD and heart failure risk: a review de Miguel Díez, Javier; Chancafe Morgan, Jorge; Jiménez García, Rodrigo
International journal of chronic obstructive pulmonary disease,
01/2013, Letnik:
8, Številka:
default
Journal Article
Recenzirano
Odprti dostop
Chronic obstructive pulmonary disease (COPD) is commonly associated with heart failure (HF) in clinical practice since they share the same pathogenic mechanism. Both conditions incur significant ...morbidity and mortality. Therefore, the prognosis of COPD and HF combined is poorer than for either disease alone. Nevertheless, usually only one of them is diagnosed. An active search for each condition using clinical examination and additional tests including plasma natriuretic peptides, lung function testing, and echocardiography should be obtained. The combination of COPD and HF presents many therapeutic challenges. The beneficial effects of selective β1-blockers should not be denied in stable patients who have HF and coexisting COPD. Additionally, statins, angiotensin-converting enzyme inhibitors, and angiotensin-receptor blockers may reduce the morbidity and mortality of COPD patients. Moreover, caution is advised with use of inhaled β2-agonists for the treatment of COPD in patients with HF. Finally, noninvasive ventilation, added to conventional therapy, improves the outcome of patients with acute respiratory failure due to hypercapnic exacerbation of COPD or HF in situations of acute pulmonary edema. The establishment of a combined and integrated approach to managing these comorbidities would seem an appropriate strategy. Additional studies providing new data on the pathogenesis and management of patients with COPD and HF are needed, with the purpose of trying to improve quality of life as well as survival of these patients.
In the last decade, increasing evidence has shown that changes in human gut microbiota are associated with diseases, such as obesity. The excreted/secreted proteins (secretome) of the gut microbiota ...affect the microbial composition, altering its colonization and persistence. Furthermore, it influences microbiota-host interactions by triggering inflammatory reactions and modulating the host's immune response. The metatranscriptome is essential to elucidate which genes are expressed under diseases. In this regard, little is known about the expressed secretome in the microbiome. Here, we use a metatranscriptomic approach to delineate the secretome of the gut microbiome of Mexican children with normal weight (NW) obesity (O) and obesity with metabolic syndrome (OMS). Additionally, we performed the 16S rRNA profiling of the gut microbiota.
Out of the 115,712 metatranscriptome genes that codified for proteins, 30,024 (26%) were predicted to be secreted, constituting the Secrebiome of the gut microbiome. The 16S profiling confirmed an increased abundance in Firmicutes and decreased in Bacteroidetes in the obesity groups, and a significantly higher richness and diversity than the normal weight group. We found novel biomarkers for obesity with metabolic syndrome such as increased Coriobacteraceae, Collinsela, and Collinsella aerofaciens; Erysipelotrichaceae, Catenibacterium and Catenibacterium sp., and decreased Parabacteroides distasonis, which correlated with clinical and anthropometric parameters associated to obesity and metabolic syndrome. Related to the Secrebiome, 16 genes, homologous to F. prausniitzi, were overexpressed for the obese and 15 genes homologous to Bacteroides, were overexpressed in the obesity with metabolic syndrome. Furthermore, a significant enrichment of CAZy enzymes was found in the Secrebiome. Additionally, significant differences in the antigenic density of the Secrebiome were found between normal weight and obesity groups.
These findings show, for the first time, the role of the Secrebiome in the functional human-microbiota interaction. Our results highlight the importance of metatranscriptomics to provide novel information about the gut microbiome's functions that could help us understand the impact of the Secrebiome on the homeostasis of its human host. Furthermore, the metatranscriptome and 16S profiling confirmed the importance of treating obesity and obesity with metabolic syndrome as separate conditions to better understand the interplay between microbiome and disease.
Antibody detection is essential to establish exposure, infection, and immunity to SARS-CoV-2, as well as to perform epidemiological studies. The worldwide urge for new diagnostic tools to control the ...pandemic has led to a quick incorporation in clinical practice of the recently developed serological assays. However, as only few comparative studies have been published, there is a lack of data about the diagnostic accuracy of currently available assays. We evaluated the diagnostic accuracy to detect Ig G, Ig M+A, and/or IgA anti SARS-CoV-2 of 10 different assays: lateral flow card immunoassays, 4 enzyme-linked immunosorbent assay (ELISA), and 3 chemiluminescent particle immunoassays (CMIA). Using reverse transcriptase polymerase chain reaction (RT-PCR) for COVID-19 as gold standard, sensitivity, specificity, PPV, and NPV were determined. Each assay was tested in 2 groups, namely, positive control, formed by 50 sera from 50 patients with SARS-CoV-2 pneumonia with positive RT-PCR; and negative control, formed by 50 sera from 50 patients with respiratory infection non-COVID-19. Sensitivity range of the 10 assays evaluated for patients with positive COVID-19 RT-PCR was 40–77% (65–81% considering IgG plus IgM). Specificity ranged 83–100%. VPP and VPN were respectively 81–100% and 61.6–81%. Among the lateral flow immunoassays, the highest sensitivity and specificity results were found in Wondfo® SARS-CoV-2 Antibody Test. ELISA IgG and IgA from EUROIMMUN® were the most sensitive ELISA. However, poor results were obtained for isolated detection of IgG. We found similar sensitivity for IgG with SARS-CoV-2 for Architect by Abbott® and ELISA by Vircell®. Results obtained varied widely among the assays evaluated. Due to a better specificity, overall diagnostic accuracy of the assays evaluated was higher in case of positive result. On the other side, lack of antibody detection should be taken with care because of the low sensitivity described. Highest diagnostic accuracy was obtained with ELISA and CMIAs, but they last much longer.
Introduction
Neuroimaging has revealed that migraine is linked to alterations in both the structure and function of the brain. However, the relationship of these changes with aging has not been ...studied in detail. Here we employ the Brain Age framework to analyze migraine, by building a machine-learning model that predicts age from neuroimaging data. We hypothesize that migraine patients will exhibit an increased Brain Age Gap (the difference between the predicted age and the chronological age) compared to healthy participants.
Methods
We trained a machine learning model to predict Brain Age from 2,771 T1-weighted magnetic resonance imaging scans of healthy subjects. The processing pipeline included the automatic segmentation of the images, the extraction of 1,479 imaging features (both morphological and intensity-based), harmonization, feature selection and training inside a 10-fold cross-validation scheme. Separate models based only on morphological and intensity features were also trained, and all the Brain Age models were later applied to a discovery cohort composed of 247 subjects, divided into healthy controls (HC, n=82), episodic migraine (EM, n=91), and chronic migraine patients (CM, n=74).
Results
CM patients showed an increased Brain Age Gap compared to HC (4.16 vs -0.56 years, P=0.01). A smaller Brain Age Gap was found for EM patients, not reaching statistical significance (1.21 vs -0.56 years, P=0.19). No associations were found between the Brain Age Gap and headache or migraine frequency, or duration of the disease. Brain imaging features that have previously been associated with migraine were among the main drivers of the differences in the predicted age. Also, the separate analysis using only morphological or intensity-based features revealed different patterns in the Brain Age biomarker in patients with migraine.
Conclusion
The brain-predicted age has shown to be a sensitive biomarker of CM patients and can help reveal distinct aging patterns in migraine.
PDF
