MRI texture-based radiomics analysis for the identification of altered functional networks in alcoholic patients and animal models

[EN] Alcohol use disorder (AUD) is a complex condition representing a leading risk factor for death, disease and disability. Its high prevalence and severe health consequences make necessary a better understanding of the brain network alterations to improve diagnosis and treatment. The purpose of this study was to evaluate the potential of resting-state fMRI 3D texture features as a novel source of biomarkers to identify AUD brain network alterations following a radiomics approach. A longitudinal study was conducted in Marchigian Sardinian alcoholpreferring msP rats (N = 36) who underwent resting-state functional and structural MRI before and after 30 days of alcohol or water consumption. A cross-sectional human study was also conducted among 33 healthy controls and 35 AUD patients. The preprocessed functional data corresponding to control and alcohol conditions were used to perform a probabilistic independent component analysis, identifying seven independent components as resting-state networks. Forty-three radiomic features extracted from each network were compared using a Wilcoxon signed-rank test with Holm correction to identify the network most affected by alcohol consumption. Features extracted from this network were then used in the machine learning process, evaluating two feature selection methods and six predictive models within a nested cross-validation structure. The classification was evaluated by computing the area under the ROC curve. Images were quantized using different numbers of graylevels to test their influence on the results. The influence of ageing, data preprocessing, and brain iron accumulation were also analyzed. The methodology was validated using structural scans. The striatal network in alcohol-exposed msP rats presented the most significant number of altered features. The radiomics approach supported this result achieving good classification performance in animals (AUC = 0.915 +/- 0.100, with 12 features) and humans (AUC = 0.724 +/- 0.117, with 9 features) using a random forest model. Using the structural scans, high accuracy was achieved with a multilayer perceptron in both species (animals: AUC > 0.95 with 2 features, humans: AUC > 0.82 with 18 features). The best results were obtained using a feature selection method based on the p-value. The proposed radiomics approach is able to identify AUD patients and alcohol-exposed rats with good accuracy, employing a subset of 3D features extracted from fMRI. Furthermore, it can help identify relevant networks in drug addiction.This work was supported by the European Union's Horizon 2020 research and innovation program (668863-SyBil-AA) and the ERA-NET NEURON program (FKZ 01EW1112-TRANSALC and PIM2010ERN-00679), as well as the Spanish State Research Agency through the Severo Ochoa Program for Centres of Excellence in R & D (SEV-2017-0723). S. C. acknowledges financial support from the Ministerio de Economia y Competitividad (MINECO) under grant PGC2018-101055-B-I00. D.M. and S.C. acknowledge financial support from the Generalitat Valenciana through the Prometeo Program (PROMETEO/2019/015). Additional support was given to W.H.S by the Deutsche Forschungsgemeinschaft Center grant TRR 265 (Heinz et al., 2020) and the Bundesministerium fur Bildung und Forschung (BMBF; FKZ: 031L0190A, 01ZX1909CA). We thank Dr. Begona Fernandez for excellent technical assistance and Dr. Cecile Bordier for helping with the human data preprocessing.Ruiz-España, S.; Ortiz-Ramón, R.; Pérez-Ramírez, MÚ.; Díaz-Parra, A.; Ciccocioppo, R.; Bach, P.; Vollstädt-Klein, S.... (2023). MRI texture-based radiomics analysis for the identification of altered functional networks in alcoholic patients and animal models. Computerized Medical Imaging and Graphics. 104. https://doi.org/10.1016/j.compmedimag.2023.10218710

MRI texture-based radiomics analysis for the identification of altered functional networks in alcoholic patients and animal models

Alcohol use disorder (AUD) is a complex condition representing a leading risk factor for death, disease and disability. Its high prevalence and severe health consequences make necessary a better understanding of the brain network alterations to improve diagnosis and treatment. The purpose of this study was to evaluate the potential of resting-state fMRI 3D texture features as a novel source of biomarkers to identify AUD brain network alterations following a radiomics approach. A longitudinal study was conducted in Marchigian Sardinian alcohol-preferring msP rats (N = 36) who underwent resting-state functional and structural MRI before and after 30 days of alcohol or water consumption. A cross-sectional human study was also conducted among 33 healthy controls and 35 AUD patients. The preprocessed functional data corresponding to control and alcohol conditions were used to perform a probabilistic independent component analysis, identifying seven independent components as resting-state networks. Forty-three radiomic features extracted from each network were compared using a Wilcoxon signed-rank test with Holm correction to identify the network most affected by alcohol consumption. Features extracted from this network were then used in the machine learning process, evaluating two feature selection methods and six predictive models within a nested cross-validation structure. The classification was evaluated by computing the area under the ROC curve. Images were quantized using different numbers of gray-levels to test their influence on the results. The influence of ageing, data preprocessing, and brain iron accumulation were also analyzed. The methodology was validated using structural scans. The striatal network in alcohol-exposed msP rats presented the most significant number of altered features. The radiomics approach supported this result achieving good classification performance in animals (AUC = 0.915 ± 0.100, with 12 features) and humans (AUC = 0.724 ± 0.117, with 9 features) using a random forest model. Using the structural scans, high accuracy was achieved with a multilayer perceptron in both species (animals: AUC > 0.95 with 2 features, humans: AUC > 0.82 with 18 features). The best results were obtained using a feature selection method based on the p-value. The proposed radiomics approach is able to identify AUD patients and alcohol-exposed rats with good accuracy, employing a subset of 3D features extracted from fMRI. Furthermore, it can help identify relevant networks in drug addiction.This work was supported by the European Union’s Horizon 2020 research and innovation program (668863-SyBil-AA) and the ERA-NET NEURON program (FKZ 01EW1112-TRANSALC and PIM2010ERN-00679), as well as the Spanish State Research Agency through the Severo Ochoa Program for Centres of Excellence in R&D (SEV- 2017–0723). S.C. acknowledges financial support from the Ministerio de Economía y Competitividad (MINECO) under grant PGC2018–101055-B-I00. D.M. and S.C. acknowledge financial support from the Generalitat Valenciana through the Prometeo Program (PROMETEO/2019/015). Additional support was given to W.H.S by the Deutsche Forschungsgemeinschaft Center grant TRR 265 (Heinz et al., 2020) and the Bundesministerium für Bildung und Forschung (BMBF; FKZ: 031L0190A, 01ZX1909CA).Peer reviewe

Clonal chromosomal mosaicism and loss of chromosome Y in elderly men increase vulnerability for SARS-CoV-2

The pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2, COVID-19) had an estimated overall case fatality ratio of 1.38% (pre-vaccination), being 53% higher in males and increasing exponentially with age. Among 9578 individuals diagnosed with COVID-19 in the SCOURGE study, we found 133 cases (1.42%) with detectable clonal mosaicism for chromosome alterations (mCA) and 226 males (5.08%) with acquired loss of chromosome Y (LOY). Individuals with clonal mosaic events (mCA and/or LOY) showed a 54% increase in the risk of COVID-19 lethality. LOY is associated with transcriptomic biomarkers of immune dysfunction, pro-coagulation activity and cardiovascular risk. Interferon-induced genes involved in the initial immune response to SARS-CoV-2 are also down-regulated in LOY. Thus, mCA and LOY underlie at least part of the sex-biased severity and mortality of COVID-19 in aging patients. Given its potential therapeutic and prognostic relevance, evaluation of clonal mosaicism should be implemented as biomarker of COVID-19 severity in elderly people. Among 9578 individuals diagnosed with COVID-19 in the SCOURGE study, individuals with clonal mosaic events (clonal mosaicism for chromosome alterations and/or loss of chromosome Y) showed an increased risk of COVID-19 lethality

Temporal and spatial variations in the structure of the rocky reef fish community of the southwest Gulf of California, Mexico

Many rocky reefs exist in the Gulf of California; however, there are few studies on the fish communities that inhabit them. In the present work, these communities are evaluated through visual censuses at four sites of the southwestem coast of the gulf. The specifíc richness, frequency, evenness and diversity were analyzed at each site. Seasonal changes and differences among the sites studied were also analyzed. A total of 76 species was registered. Five species were the most abundant in most of the zones and during the greater part of the study: Stegastes spp., Thalassoma lucasanum, Abudefduf troschelii, Chromis atrilobata and Haemulon maculicauda. Only the first three species were present in all censuses made. Differences were found in the structure of the communities between different seasons and between study sites; however, the diversity values had no significant differences. The zone with the greatest number of species was Cueva de León. A positive relationship was found between specific richness and temperature

Systematic list of the fishes from Cerralvo Island, Baja California Sur, Mexico

The first check-list of fishes from Cerralvo Island, Baja California Sur, Mexico, is reported here. A total of 174 species, belonging to 132 genera and 70 families were registered. This list includes species collected and observed in the area between 1990 and 1993, as well as species previously reported in the literature between 1944 and 1993. Cerralvo Island has 77 species from the Panamic Province, 52 with a wide distribution in the eastern Pacific, 14 from the Mexican Province, 12 from the California Province, 5 species endemic of the Gulf of California and 14 species with Indo-Paciflc aftinity, including Gymnomuraena zebra, Heteropriacanthus cruentatus, Thalasoma grammaticum, Acanthurus triostegus, Scarus ghobban, Scarus rubroviolaceus, Zanclus cornutus, Arothron meleagris, Lutjanus viridis, Ostracion meleagris and Chaetodon falcifer

[San Gil Abad] [Material gráfico] / Tomas Rocafort lo inventó y grabó.

Inscripción: "SAN GIL ABAD. Especial Abogado contra Calenturas y Protector para Salir del Pecado

Growth and Yield of Purple Kculli Corn Plants under Different Fertilization Schemes

Globally, corn is the most economically important crop, surpassing other cereals of economic importance. However, the tillage methods, monoculture and the abuse of synthetic agrochemicals used in Mexico have led to the loss of fertility and soil yield. In this sense, the application of alternative fertilization methods based on chemical fertilizer, organic matter and biofertilizer, applied alone or in combination, can stimulate the defense systems of corn plants and increase their yield. Therefore, in this research, some fertilization schemes were tested on purple corn plants of the Kculli race through the evaluation of some growth and yield variables, as well as the subsequent evaluation of the chemical characteristics of the corn grain produced in each fertilization scheme. The results indicate highly significant differences (p ≤ 0.05) between treatments, for the different growth and yield variables studied. Of all the fertilization schemes evaluated, treatment T7 obtained the best grain yield of 6.19 ± 0.07 t ha−1, with respect to treatment T1 of 1.02 ± 0.01 t ha−1, as well as the highest protein content and starch quality. Being clear the positive effect of the adequate contribution of the macro and micronutrients used exerts on the corn crop in each of the fertilization schemes studied. On the other hand, the analysis carried out on the grains was found within the values reported by other authors

Caracterización molecular de aislados de Trypanosoma cruzi de triatominos recolectados en los municipios del Estado de Hidalgo, México

Trypanosoma cruzi (T. cruzi), has been classified into six lineages using molecular typing markers, which are easily amplified by the polymerase chain reaction (PCR) technique. The objective of this work was to identify and geographically locate the isolates of T. cruzi that circulate naturally in triatomines of the municipalities of the State of Hidalgo, Mexico, through the amplification from the conserved region of the mini-exon gene by end point PCR. Method: 170 specimens of hematophagous insects from 14 municipalities from the state of Hidalgo, Mexico, were collected. Optic microscopy and PCR from triatomine fecal and digestive tissue samples were used for laboratory diagnostic of T. cruzi infection and T. cruzi lineage classification. Results: Three triatomines taxas were found: Triatoma dimidiata (87/170), Triatoma mexicana (14/170) y Triatoma gerstaeckeri (7/170). For 36.47% (62/170) of the collected specimens, species could not be determined and were classified as T. spp. T. cruzi infection was determined in 1.76% of the collected specimens through optic microscopy and in 11.18% through PCR. All the classified parasites correspond to the TcI biotype of T. cruzi. Most abundant populations of triatomines (80.58%), as well as, the highest percentage (10.58%) of T. cruzi infected insects, were found in the peridomestic ecotope. Conclusion: The most important vector found in the región of study was Triatoma dimidiata, followed by T. mexicana and T. gerstaekeri and the only T. cruzi biotype found to be infecting triatomines was TcI. The vectors were mainly distributed in the peridomiciliary habitats of the studied municipalities. Results indicate a T. cruzi represents a risk of infection for the inhabitants of the studied regions of the state of Hidalgo, Mexico.Trypanosoma cruzi (T. cruzi), está clasificado en seis linajes mediante marcadores moleculares de tipificación, que son fácilmente amplificados por técnicas de biología molecular. El objetivo del trabajo fue identificar y ubicar geográficamente a los aislados de T. cruzi que infectan naturalmente a los triatominos de los municipios del Estado de Hidalgo a través de la técnica de PCR, que amplifica fragmentos de la región intergénica del gen mini-exón. Método: Se recolectaron 170 muestras de insectos hematófagos en 14 municipios del Estado de Hidalgo, México. El diagnóstico de laboratorio en las muestras de heces y de tejido digestivo de los triatominos, se realizó de manera convencional por microscopia óptica y por la técnica de PCR para determinar la presencia o ausencia de T. cruzi y para la identificación del linaje correspondiente del parásito. Resultados: Se identificaron tres taxones de triatominos: Triatoma dimidiata (87/170), Triatoma mexicana (14/170) y Triatoma gerstaeckeri (7/170). En el 36.47% (62/170) de los especímenes colectados la especie no pudo ser identificada y se clasificaron únicamente como Triatoma spp. Se determinó la presencia del parásito en el 1.76% de los vectores analizados por el método parasitoscópico y en el 11.17% por el método de biología molecular. El total de los parásitos analizados corresponde al biotipo TcI de T. cruzi. En el ecotopo peridoméstico, se encontró la mayor abundancia de triatominos (80.58%) y el mayor porcentaje (10.58%) de infección por T. cruzi. Conclusiones: El vector más importante encontrado en la región en estudio fue Triatoma dimidiata seguido de T. mexicana y T. gerstaekeri y el biotipo con el que están mayormente infectados es el TcI. Los triatominos encontrados se distribuían principalmente en hábitats peridomésticos en los municipios estudiados. Los resultados indican la existencia de riesgo de infección para los habitantes de esas regiones endémicas del Estado de Hidalgo, México