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Article ; Online: Biotechnological insights into extracellular enzyme production by thermotolerant fungi from hot springs and caves: Morphology, pellets formation, and protease production.

Legorreta-Castañeda, Adriana Jazmín / Guerra-Sánchez, Guadalupe / García-Gutiérrez, Karina / Olicón-Hernández, Dario Rafael

Biotechnology and applied biochemistry

2024

Abstract: This study investigates the thermotolerant fungal biodiversity in caves and hot springs, focusing on their potential for extracellular enzyme production, specifically proteases. Samples were collected from the Cardonal region in Hidalgo, Mexico, using ... ...

Abstract	This study investigates the thermotolerant fungal biodiversity in caves and hot springs, focusing on their potential for extracellular enzyme production, specifically proteases. Samples were collected from the Cardonal region in Hidalgo, Mexico, using three different isolation methods. The study characterizes the morphological diversity of the isolated fungi and identifies various genera, including Aspergillus, Penicillium, Trichoderma, Cladosporium, and Fusarium, based on morphology. The isolated fungi were screened for their ability to produce extracellular enzymes on solid media, with a particular emphasis on proteases due to their industrial significance. Among the 35 isolated fungi, 20 exhibited proteolytic activity, and 12 strains were identified as good protease producers based on enzymatic index values. The study also evaluated the formation of fungal pellets by proteolytic fungi and found certain strains to display significant pellet formation. Additionally, protease production was examined by fungal pellets in submerged cultures, with isolate 6 demonstrating the highest protease activity. The findings highlight the diverse thermotolerant fungal biodiversity in extreme environments, and emphasize their potential for enzymatic production. This research contributes to our understanding of fungal ecology and provides insights into the biotechnological applications of these enzymes. The study recommends further molecular investigations to enhance biodiversity studies in such extreme environments.
Language	English
Publishing date	2024-01-15
Publishing country	United States
Document type	Journal Article
ZDB-ID	883433-7
ISSN	1470-8744 ; 0885-4513
ISSN (online)	1470-8744
ISSN	0885-4513
DOI	10.1002/bab.2557
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Automatic Evaluation of Heart Condition According to the Sounds Emitted and Implementing Six Classification Methods.

Soto-Murillo, Manuel A / Galván-Tejada, Jorge I / Galván-Tejada, Carlos E / Celaya-Padilla, Jose M / Luna-García, Huizilopoztli / Magallanes-Quintanar, Rafael / Gutiérrez-García, Tania A / Gamboa-Rosales, Hamurabi

Healthcare (Basel, Switzerland)

2021 Volume 9, Issue 3

Abstract: The main cause of death in Mexico and the world is heart disease, and it will continue to lead the death rate in the next decade according to data from the World Health Organization (WHO) and the National Institute of Statistics and Geography (INEGI). ... ...

Abstract	The main cause of death in Mexico and the world is heart disease, and it will continue to lead the death rate in the next decade according to data from the World Health Organization (WHO) and the National Institute of Statistics and Geography (INEGI). Therefore, the objective of this work is to implement, compare and evaluate machine learning algorithms that are capable of classifying normal and abnormal heart sounds. Three different sounds were analyzed in this study; normal heart sounds, heart murmur sounds and extra systolic sounds, which were labeled as healthy sounds (normal sounds) and unhealthy sounds (murmur and extra systolic sounds). From these sounds, fifty-two features were calculated to create a numerical dataset; thirty-six statistical features, eight Linear Predictive Coding (LPC) coefficients and eight Cepstral Frequency-Mel Coefficients (MFCC). From this dataset two more were created; one normalized and one standardized. These datasets were analyzed with six classifiers: k-Nearest Neighbors, Naive Bayes, Decision Trees, Logistic Regression, Support Vector Machine and Artificial Neural Networks, all of them were evaluated with six metrics: accuracy, specificity, sensitivity, ROC curve, precision and F1-score, respectively. The performances of all the models were statistically significant, but the models that performed best for this problem were logistic regression for the standardized data set, with a specificity of 0.7500 and a ROC curve of 0.8405, logistic regression for the normalized data set, with a specificity of 0.7083 and a ROC curve of 0.8407, and Support Vector Machine with a lineal kernel for the non-normalized data; with a specificity of 0.6842 and a ROC curve of 0.7703. Both of these metrics are of utmost importance in evaluating the performance of computer-assisted diagnostic systems.
Language	English
Publishing date	2021-03-12
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2721009-1
ISSN	2227-9032
ISSN	2227-9032
DOI	10.3390/healthcare9030317
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Article ; Online: 20 years of the Mexican Health and Aging Study.

Wong, Rebeca / García-Peña, Carmen / Gutiérrez-Robledo, Luis Miguel / Aguila, Emma / Samper-Ternent, Rafael

Salud publica de Mexico

2023 Volume 65, Issue 5, sept-oct, Page(s) 423–424

Abstract: The Mexican Health and Aging Study (MHAS) is a longitudinal study using a national sample of approximately 15,000 community-dwelling adults aged 50 years old and older in Mexico. Spanning over 20 years (2001-2021), six waves of data collection establish ... ...

Abstract	The Mexican Health and Aging Study (MHAS) is a longitudinal study using a national sample of approximately 15,000 community-dwelling adults aged 50 years old and older in Mexico. Spanning over 20 years (2001-2021), six waves of data collection establish the MHAS as the leading data platform for the study of aging in Latin America.
MeSH term(s)	Adult ; Humans ; Middle Aged ; Longitudinal Studies ; Mexico ; Aging ; Independent Living
Language	English
Publishing date	2023-09-15
Publishing country	Mexico
Document type	Journal Article
ZDB-ID	954220-6
ISSN	1606-7916 ; 0036-3634
ISSN (online)	1606-7916
ISSN	0036-3634
DOI	10.21149/15311
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Article ; Online: Nasopharyngeal and oropharyngeal rinses with neutral electrolyzed water prevents COVID-19 in front-line health professionals: A randomized, open-label, controlled trial in a general hospital in Mexico City.

Gutiérrez-García, Rafael / De La Cerda-Ángeles, Juan C / Cabrera-Licona, Ariana / Delgado-Enciso, Ivan / Mervitch-Sigal, Nicolas / Paz-Michel, Brenda A

Biomedical reports

2021 Volume 16, Issue 2, Page(s) 11

Abstract: The worldwide efforts that healthcare professionals are making in the COVID-19 pandemic is well known, and the high risk of illness and death that front-line staff experience on a daily basis is a reality, despite well-defined protocols for the use of ... ...

Abstract	The worldwide efforts that healthcare professionals are making in the COVID-19 pandemic is well known, and the high risk of illness and death that front-line staff experience on a daily basis is a reality, despite well-defined protocols for the use of personal protective equipment. In addition, it is well known that vaccination is still faraway to be achieved worldwide and that new variants are emerging, thus additional protective measures must be explored. A prospective open-label randomized controlled clinical trial was performed on front-line medical staff from the Dr. Enrique Cabrera General Hospital in México City to evaluate the effectiveness of nasopharyngeal and oropharyngeal rinses with a neutral electrolyzed water, known as SES, to reduce the risk of COVID-19 disease among front-line, not vaccinated medical staff. A total of 170 volunteers were enrolled and equally divided in a control group and SES group. All members of the trial wore the adequate personal protection equipment at all times while performing their duties, as required by standard COVID-19 safety protocols. Additionally, the SES group participants followed a prophylactic protocol with SES (oral and nasal rinses, three times a day for 4 weeks). All participants were monitored for COVID-19 symptoms and disease in a time-frame of 4 weeks and the incidence of illness per group was registered. The relative risk of disease, associated with each treatment was calculated. The presence of COVID-19-positive cases, in the group that received the nasal and oral rinses with SES was 1.2%, while in the group that did not do the SES rinses (control group), it was 12.7% (P=0.0039 and RR=0.09405; 95% CI of 0.01231-0.7183). The prophylactic protocol was demonstrated as a protective factor, in more than 90%, for developing the disease, and without adverse effects. Nasal and oral rinses with SES may be an efficient alternative to reinforce the protective measures against COVID-19 disease and should be further investigated. The present clinical trial was retrospectively registered in the Cuban public registry of clinical trials (RPCEC) database (March 16, 2021; PREVECOVID-19: RPCEC00000357).
Language	English
Publishing date	2021-12-15
Publishing country	England
Document type	Journal Article
ZDB-ID	2763624-0
ISSN	2049-9442 ; 2049-9434
ISSN (online)	2049-9442
ISSN	2049-9434
DOI	10.3892/br.2021.1494
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Article ; Online: Assessing the relationship between multimorbidity, NCD configurations, frailty phenotypes, and mortality risk in older adults.

Ogaz-González, Rafael / Corpeleijn, Eva / García-Chanes, Rosa Estela / Gutierréz-Robledo, Luis Miguel / Escamilla-Santiago, Ricardo Antonio / López-Cervantes, Malaquías

BMC geriatrics

2024 Volume 24, Issue 1, Page(s) 355

Abstract: Background: Older adults are increasingly susceptible to prolonged illness, multiple chronic diseases, and disabilities, which can lead to the coexistence of multimorbidity and frailty. Multimorbidity may result in various noncommunicable disease (NCD) ... ...

Abstract	Background: Older adults are increasingly susceptible to prolonged illness, multiple chronic diseases, and disabilities, which can lead to the coexistence of multimorbidity and frailty. Multimorbidity may result in various noncommunicable disease (NCD) patterns or configurations that could be associated with frailty and death. Mortality risk may vary depending on the presence of specific chronic diseases configurations or frailty. Methods: The aim was to examine the impact of NCD configurations on mortality risk among older adults with distinct frailty phenotypes. The population was analyzed from the Costa Rican Longevity and Healthy Aging Study Cohort (CRELES). A total of 2,662 adults aged 60 or older were included and followed for 5 years. Exploratory factor analysis and various clustering techniques were utilized to identify NCD configurations. The frequency of NCD accumulation was also assessed for a multimorbidity definition. Frailty phenotypes were set according to Fried et al. criteria. Kaplan‒Meier survival analyses, mortality rates, and Cox proportional hazards models were estimated. Results: Four different types of patterns were identified: 'Neuro-psychiatric', 'Metabolic', 'Cardiovascular', and 'Mixt' configurations. These configurations showed a higher mortality risk than the mere accumulation of NCDs [Cardiovascular HR:1.65 (1.07-2.57); 'Mixt' HR:1.49 (1.00-2.22); ≥3 NCDs HR:1.31 (1.09-1.58)]. Frailty exhibited a high and constant mortality risk, irrespective of the presence of any NCD configuration or multimorbidity definition. However, HRs decreased and lost statistical significance when phenotypes were considered in the Cox models [frailty + 'Cardiovascular' HR:1.56 (1.00-2.42); frailty + 'Mixt':1.42 (0.95-2.11); and frailty + ≥ 3 NCDs HR:1.23 (1.02-1.49)]. Conclusions: Frailty accompanying multimorbidity emerges as a more crucial indicator of mortality risk than multimorbidity alone. Therefore, studying NCD configurations is worthwhile as they may offer improved risk profiles for mortality as alternatives to straightforward counts.
Language	English
Publishing date	2024-04-22
Publishing country	England
Document type	Journal Article
ZDB-ID	2059865-8
ISSN	1471-2318 ; 1471-2318
ISSN (online)	1471-2318
ISSN	1471-2318
DOI	10.1186/s12877-024-04948-9
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Article: Association of

Gutiérrez-Pérez, Ilse Adriana / Buendía-Roldán, Ivette / Zaragoza-García, Oscar / Pérez-Rubio, Gloria / Villafan-Bernal, José Rafael / Chávez-Galán, Leslie / Parra-Rojas, Isela / Hernández-Zenteno, Rafael de Jesús / Fricke-Galindo, Ingrid / Castro-Alarcón, Natividad / Bautista-Becerril, Brandon / Falfán-Valencia, Ramcés / Guzmán-Guzmán, Iris Paola

Heliyon

2024 Volume 10, Issue 6, Page(s) e27997

Abstract: Background: Enzymes of the peptidylarginine deiminase family (PADs) play a relevant role in the pathogenesis of COVID-19. However, the association of single nucleotide polymorphisms (SNPs) in their genes with COVID-19 severity and death is unknown.: ... ...

Abstract	Background: Enzymes of the peptidylarginine deiminase family (PADs) play a relevant role in the pathogenesis of COVID-19. However, the association of single nucleotide polymorphisms (SNPs) in their genes with COVID-19 severity and death is unknown. Methodology: We included 1045 patients who were diagnosed with COVID-19 between October 2020 and December 2021. All subjects were genotyped for Results: 291 patients presented had severe COVID-19 according to PaO Conclusions: Our results suggest that the haplotypic combination of GTACC and some individual genotypes of
Language	English
Publishing date	2024-03-15
Publishing country	England
Document type	Journal Article
ZDB-ID	2835763-2
ISSN	2405-8440
ISSN	2405-8440
DOI	10.1016/j.heliyon.2024.e27997
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Article ; Online: Automatic Evaluation of Heart Condition According to the Sounds Emitted and Implementing Six Classification Methods

Manuel A. Soto-Murillo / Jorge I. Galván-Tejada / Carlos E. Galván-Tejada / Jose M. Celaya-Padilla / Huizilopoztli Luna-García / Rafael Magallanes-Quintanar / Tania A. Gutiérrez-García / Hamurabi Gamboa-Rosales

Healthcare, Vol 9, Iss 317, p

2021 Volume 317

Abstract	The main cause of death in Mexico and the world is heart disease, and it will continue to lead the death rate in the next decade according to data from the World Health Organization (WHO) and the National Institute of Statistics and Geography (INEGI). Therefore, the objective of this work is to implement, compare and evaluate machine learning algorithms that are capable of classifying normal and abnormal heart sounds. Three different sounds were analyzed in this study; normal heart sounds, heart murmur sounds and extra systolic sounds, which were labeled as healthy sounds (normal sounds) and unhealthy sounds (murmur and extra systolic sounds). From these sounds, fifty-two features were calculated to create a numerical dataset; thirty-six statistical features, eight Linear Predictive Coding (LPC) coefficients and eight Cepstral Frequency-Mel Coefficients (MFCC). From this dataset two more were created; one normalized and one standardized. These datasets were analyzed with six classifiers: k-Nearest Neighbors, Naive Bayes, Decision Trees, Logistic Regression, Support Vector Machine and Artificial Neural Networks, all of them were evaluated with six metrics: accuracy, specificity, sensitivity, ROC curve, precision and F1-score, respectively. The performances of all the models were statistically significant, but the models that performed best for this problem were logistic regression for the standardized data set, with a specificity of 0.7500 and a ROC curve of 0.8405, logistic regression for the normalized data set, with a specificity of 0.7083 and a ROC curve of 0.8407, and Support Vector Machine with a lineal kernel for the non-normalized data; with a specificity of 0.6842 and a ROC curve of 0.7703. Both of these metrics are of utmost importance in evaluating the performance of computer-assisted diagnostic systems.
Keywords	heart sounds ; heart disease ; classification methods ; evaluation metrics ; Medicine ; R
Subject code	410
Language	English
Publishing date	2021-03-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The Impact of Absorptive Capacity on Innovation: The Mediating Role of Organizational Learning.

Sancho-Zamora, Rafael / Hernández-Perlines, Felipe / Peña-García, Isidro / Gutiérrez-Broncano, Santiago

International journal of environmental research and public health

2022 Volume 19, Issue 2

Abstract: Although the relevant literature has already demonstrated the impact that absorptive capacity has on companies' innovation capacity, we have found few studies that analyze the role of learning capability in this relationship. The main objective of this ... ...

Abstract	Although the relevant literature has already demonstrated the impact that absorptive capacity has on companies' innovation capacity, we have found few studies that analyze the role of learning capability in this relationship. The main objective of this study was to examine the role of organizational learning in this relationship. For this purpose, a quantitative research approach was used. A total of 306 valid questionnaires were obtained from small and medium-sized Spanish companies in different sectors. The collected data were analyzed using the multivariate Partial Least Square (PLS) quantitative structural equation technique. According to the result, absorption capacity turns into innovation mainly when learning capacity is involved in this process. This study provides empirical evidence of this relationship and fills this gap. It can also help organizations understand and clarify what would be the most appropriate way in to manage knowledge to improve their innovation levels.
MeSH term(s)	Knowledge ; Learning ; Organizational Innovation ; Organizations
Language	English
Publishing date	2022-01-12
Publishing country	Switzerland
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2175195-X
ISSN	1660-4601 ; 1661-7827
ISSN (online)	1660-4601
ISSN	1661-7827
DOI	10.3390/ijerph19020842
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Article ; Online: Every Fish Counts: Challenging Length–Weight Relationship Bias in Discards

Rodríguez-García, Carlos / Castro-Gutiérrez, Jairo / Domínguez-Bustos, Ángel Rafael / García-González, Alberto / Cabrera-Castro, Remedios

Fishes. 2023 Apr. 24, v. 8, no. 5

2023

Abstract: Bycatch is a significant issue in global fisheries and understanding the length–weight relationships (LWR) of fish species can provide valuable insights for stock assessment and management efforts. In this study, we estimated the LWR of 74 fish species ... ...

Abstract	Bycatch is a significant issue in global fisheries and understanding the length–weight relationships (LWR) of fish species can provide valuable insights for stock assessment and management efforts. In this study, we estimated the LWR of 74 fish species in trawl fleet discards from the Gulf of Cadiz, including 24 species for which LWR data had not been previously reported in this region. LWR was calculated from the formula W = aLᵇ where parameter a is the intercept of the equation, related to body shape, and parameter b is the slope, which indicates the type of growth of the species. A total of 20,007 individuals from 40 families were measured and weighed. The most abundant species were Engraulis encrasicolus, Trachurus trachurus, Serranus hepatus, Sardina pilchardus, Capros aper, and Diplodus bellottii, and the Sparidae family was the most represented with ten species. The parameter b, which represents the type of growth, ranged from 2.1607 to 3.7040. A positive allometric growth trend was observed in 64% of the species. The inclusion of individuals with a low sample size proved useful, particularly for first reports in a new study area. However, caution should be taken when using these data, as the estimates of the length–weight relationship for these species may be less precise. Further studies with larger sample sizes are needed to confirm the results and improve the accuracy of the estimates. Overall, our findings contribute to the understanding of the LWR of fish species in the Gulf of Cadiz, informing future research and management efforts in the region.
Keywords	Capros aper ; Diplodus ; Engraulis encrasicolus ; Sardina pilchardus ; Serranus ; Trachurus trachurus ; allometry ; bycatch ; equations ; fish ; sample size
Language	English
Dates of publication	2023-0424
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article ; Online
ISSN	2410-3888
DOI	10.3390/fishes8050222
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Biochemical characterization and gene structure analysis of the 24-kDa glutathione transferase sigma from Taenia solium.

Miranda-Blancas, Ricardo / Rodríguez-Lima, Oscar / García-Gutiérrez, Ponciano / Flores-López, Roberto / Jiménez, Lucía / Zubillaga, Rafael A / Rudiño-Piñera, Enrique / Landa, Abraham

FEBS open bio

2024

Abstract: Taenia solium can cause human taeniasis and/or cysticercosis. The latter can in some instances cause human neurocysticercosis which is considered a priority in disease-control strategies and the prevention of mental health problems. Glutathione ... ...

Abstract	Taenia solium can cause human taeniasis and/or cysticercosis. The latter can in some instances cause human neurocysticercosis which is considered a priority in disease-control strategies and the prevention of mental health problems. Glutathione transferases are crucial for the establishment and long-term survival of T. solium; therefore, we structurally analyzed the 24-kDa glutathione transferase gene (Ts24gst) of T. solium and biochemically characterized its product. The gene promoter showed potential binding sites for transcription factors and xenobiotic regulatory elements. The gene consists of a transcription start site, four exons split by three introns, and a polyadenylation site. The gene architecture is conserved in cestodes. Recombinant Ts24GST (rTs24GST) was active and dimeric. Anti-rTs24GST serum showed slight cross-reactivity with human sigma-class GST. A 3D model of Ts24GST enabled identification of putative residues involved in interactions of the G-site with GSH and of the H-site with CDNB and prostaglandin D
Language	English
Publishing date	2024-03-21
Publishing country	England
Document type	Journal Article
ZDB-ID	2651702-4
ISSN	2211-5463 ; 2211-5463
ISSN (online)	2211-5463
ISSN	2211-5463
DOI	10.1002/2211-5463.13795
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