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Article ; Online: Potential Hypoglycemic and Antilipidemic Activity of Polyphenols from

Angel-Isaza, Jaime / Carmona-Hernandez, Juan Carlos / González-Correa, Clara Helena / Narváez-Solarte, William Vicente

2023 Volume 28, Issue 8

Abstract: The consumption of fruits or by-products from plants of the Passifloraceae family has been associated with multiple health and nutritional benefits, due to their phenolic compound content. Likewise, the effects of polyphenols ... ...

Abstract	The consumption of fruits or by-products from plants of the Passifloraceae family has been associated with multiple health and nutritional benefits, due to their phenolic compound content. Likewise, the effects of polyphenols from
MeSH term(s)	Rats ; Mice ; Animals ; Polyphenols/pharmacology ; Passiflora ; Hypoglycemic Agents/pharmacology ; Metabolic Syndrome/drug therapy ; Rats, Wistar ; Camellia sinensis ; Tea ; Plant Extracts/pharmacology ; Plant Extracts/therapeutic use
Chemical Substances	Polyphenols ; Hypoglycemic Agents ; Tea ; Plant Extracts
Language	English
Publishing date	2023-04-18
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	1413402-0
ISSN	1420-3049 ; 1431-5165 ; 1420-3049
ISSN (online)	1420-3049
ISSN	1431-5165 ; 1420-3049
DOI	10.3390/molecules28083551
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Article: Individual emergency response and recovery: What people worried about during and after Hurricane Maria.

Díaz-Pacheco, Verónica / Nieves-Jiménez, Angelie / Whalin, Robert / Richardson, Thomas / Pomales-García, Cristina / Isaza, Clara E / Cabrera-Ríos, Mauricio

Journal of emergency management (Weston, Mass.)

2023 Volume 21, Issue 2, Page(s) 155–163

Abstract: Hurricane Maria was a disastrous weather event that devastated Puerto Rico (PR) in September 2017. Yet, little is known about people's perceptions of this event. In this investigation, we offer insight about Hurricane Maria's impact on PR's inhabitants. ... ...

Abstract	Hurricane Maria was a disastrous weather event that devastated Puerto Rico (PR) in September 2017. Yet, little is known about people's perceptions of this event. In this investigation, we offer insight about Hurricane Maria's impact on PR's inhabitants. More specifically, we study a sample (n = 542 responses) of individuals' worry levels through four time points during the aftermath of Hurricane Maria: their variation through time, their relationship to decision making, and if and how certain demographic variables may influence them. For these purposes, we designed and implemented the Individual Emergency Response and Recovery Questionnaire, a web-based survey that measured several aspects of the objective and subjective experiences of individuals who underwent Hurricane Maria in PR. Results of a statistical analysis using nonparametric tests show that some of the demographic variables selected as factors of interest influence the worry levels reported by respondents. Most significant results coincide with conclusions drawn by literature: that time, age group, and the level of information influence worry levels. Another key finding is that the worry level may influence individual decision-making frequency. Understanding principal factors in people's behavior and perceptions during hurricanes is crucial to help us learn how to better prepare for and respond to natural disasters in the future.
MeSH term(s)	Humans ; Cyclonic Storms ; Natural Disasters ; Puerto Rico ; Disasters ; Surveys and Questionnaires
Language	English
Publishing date	2023-06-03
Publishing country	United States
Document type	Journal Article
ZDB-ID	2799989-0
ISSN	1543-5865
ISSN	1543-5865
DOI	10.5055/jem.0747
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Article ; Online: A Cost Model for Neurological Diseases in Puerto Rico: Parkinson's Disease, Alzheimer's Disease and Huntington's Disease.

Ortiz, Nicole J / Méndez, Mayra / Avilés, Gabriela / Román, César / Narváez-Cordero, Paula / Valdés, Elizmarie / Cabrera-Ríos, Mauricio / Isaza, Clara E

Puerto Rico health sciences journal

2023 Volume 42, Issue 2, Page(s) 146–151

Abstract: Objective: This article proposes an engineering-economics model to determine the total cost of a neurological disease along its temporal progression. The objective was to develop a planning tool faithful to the reality of this type of ailment as well as ...

Abstract	Objective: This article proposes an engineering-economics model to determine the total cost of a neurological disease along its temporal progression. The objective was to develop a planning tool faithful to the reality of this type of ailment as well as to that of Puerto Rico (PR). Methods: The proposed model organizes a given neurological disease into 3 progressive phases of deterioration; in each, the model collects the typical associated costs and adjusts them based on their value over time. This way, the total cost of the ailment is calculated and its present day dollar value expressed. Model verification was carried out using data from Puerto Rico related to Parkinson's, Alzheimer's, and Huntington's diseases. Results: The method demonstrated here considered Parkinson's disease in PR. Our model calculated a total annual cost of $64,915 for a patient at the medium stage. This figure is larger than estimates from other authors, which fall between $41,689 and $51,600 for the USA. This difference is partially due to the proposed model considering the individual's opportunity cost of the loss of productive years, an original contribution of our work. Conclusion: A neurological disease is one in which an individual goes through progressive phases of deterioration that will require significant economic resources. The model proposed here is designed across the commonalities between Alzheimer's, Parkinson's, and Huntington's diseases and illustrated using costs from PR. As an additional contribution, it allows the consideration of the opportunity cost of lost productivity, a characteristic that makes it more realistic.
MeSH term(s)	Humans ; Parkinson Disease ; Huntington Disease/epidemiology ; Alzheimer Disease ; Puerto Rico ; Nervous System Diseases
Language	English
Publishing date	2023-06-22
Publishing country	Puerto Rico
Document type	Journal Article
ZDB-ID	639137-0
ISSN	2373-6011 ; 0738-0658
ISSN (online)	2373-6011
ISSN	0738-0658
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Article ; Online: Multiple Criteria Optimization (MCO): A gene selection deterministic tool in RStudio.

Narváez-Bandera, Isis / Suárez-Gómez, Deiver / Isaza, Clara E / Cabrera-Ríos, Mauricio

PloS one

2022 Volume 17, Issue 1, Page(s) e0262890

Abstract: Identifying genes with the largest expression changes (gene selection) to characterize a given condition is a popular first step to drive exploration into molecular mechanisms and is, therefore, paramount for therapeutic development. Reproducibility in ... ...

Abstract	Identifying genes with the largest expression changes (gene selection) to characterize a given condition is a popular first step to drive exploration into molecular mechanisms and is, therefore, paramount for therapeutic development. Reproducibility in the sciences makes it necessary to emphasize objectivity and systematic repeatability in biological and informatics analyses, including gene selection. With these two characteristics in mind, in previous works our research team has proposed using multiple criteria optimization (MCO) in gene selection to analyze microarray datasets. The result of this effort is the MCO algorithm, which selects genes with the largest expression changes without user manipulation of neither informatics nor statistical parameters. Furthermore, the user is not required to choose either a preference structure among multiple measures or a predetermined quantity of genes to be deemed significant a priori. This implies that using the same datasets and performance measures (PMs), the method will converge to the same set of selected differentially expressed genes (repeatability) despite who carries out the analysis (objectivity). The present work describes the development of an open-source tool in RStudio to enable both: (1) individual analysis of single datasets with two or three PMs and (2) meta-analysis with up to five microarray datasets, using one PM from each dataset. The capabilities afforded by the code include license-free portability and the possibility to carry out analyses via modest computer hardware, such as personal laptops. The code provides affordable, repeatable, and objective detection of differentially expressed genes from microarrays. It can be used to analyze other experiments with similar experimental comparative layouts, such as microRNA arrays and protein arrays, among others. As a demonstration of the capabilities of the code, the analysis of four publicly-available microarray datasets related to Parkinson´s Disease (PD) is presented here, treating each dataset individually or as a four-way meta-analysis. These MCO-supported analyses made it possible to identify MMP9 and TUBB2A as potential PD genetic biomarkers based on their persistent appearance across each of the case studies. A literature search confirmed the importance of these genes in PD and indeed as PD biomarkers, which evidences the code´s potential.
MeSH term(s)	Algorithms ; Databases, Nucleic Acid ; Gene Expression Profiling ; Humans ; Oligonucleotide Array Sequence Analysis ; Software
Language	English
Publishing date	2022-01-27
Publishing country	United States
Document type	Journal Article ; Research Support, N.I.H., Extramural
ZDB-ID	2267670-3
ISSN	1932-6203 ; 1932-6203
ISSN (online)	1932-6203
ISSN	1932-6203
DOI	10.1371/journal.pone.0262890
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Article ; Online: Multiple Criteria Optimization (MCO)

Isis Narváez-Bandera / Deiver Suárez-Gómez / Clara E Isaza / Mauricio Cabrera-Ríos

PLoS ONE, Vol 17, Iss 1, p e

A gene selection deterministic tool in RStudio.

2022 Volume 0262890

Abstract	Identifying genes with the largest expression changes (gene selection) to characterize a given condition is a popular first step to drive exploration into molecular mechanisms and is, therefore, paramount for therapeutic development. Reproducibility in the sciences makes it necessary to emphasize objectivity and systematic repeatability in biological and informatics analyses, including gene selection. With these two characteristics in mind, in previous works our research team has proposed using multiple criteria optimization (MCO) in gene selection to analyze microarray datasets. The result of this effort is the MCO algorithm, which selects genes with the largest expression changes without user manipulation of neither informatics nor statistical parameters. Furthermore, the user is not required to choose either a preference structure among multiple measures or a predetermined quantity of genes to be deemed significant a priori. This implies that using the same datasets and performance measures (PMs), the method will converge to the same set of selected differentially expressed genes (repeatability) despite who carries out the analysis (objectivity). The present work describes the development of an open-source tool in RStudio to enable both: (1) individual analysis of single datasets with two or three PMs and (2) meta-analysis with up to five microarray datasets, using one PM from each dataset. The capabilities afforded by the code include license-free portability and the possibility to carry out analyses via modest computer hardware, such as personal laptops. The code provides affordable, repeatable, and objective detection of differentially expressed genes from microarrays. It can be used to analyze other experiments with similar experimental comparative layouts, such as microRNA arrays and protein arrays, among others. As a demonstration of the capabilities of the code, the analysis of four publicly-available microarray datasets related to Parkinson´s Disease (PD) is presented here, treating each dataset ...
Keywords	Medicine ; R ; Science ; Q
Subject code	612
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
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Article: Individual response and recovery: A learning experience from Hurricane María.

Díaz-Pacheco, Verónica / González-Román, Frederick / Isaza, Clara / Richardson, Thomas / Whalin, Robert / Cabrera-Ríos, Mauricio

Journal of emergency management (Weston, Mass.)

2022 Volume 19, Issue 8, Page(s) 157–165

Abstract: Situations faced in the advent of powerful hurricanes can be stressful for individuals due to the uncertainty they bring along. The consequences of these phenomena can leave individuals' recovery in their own hands until order is re-established, and ... ...

Abstract	Situations faced in the advent of powerful hurricanes can be stressful for individuals due to the uncertainty they bring along. The consequences of these phenomena can leave individuals' recovery in their own hands until order is re-established, and support can reach out to them. This work aims to develop a tool to guide individuals through their decision-making during a hurricane disaster and recovery, using the experience of Hurricane María. The tool is a classic inventory model adapted to monitor individual's wellness through 48 hours after a hurricane arrival. This article presents the three stages followed in the development in this work: the assessment of individuals' sentiments toward Hurricane María via an online questionnaire, the development of the mathematical model, and the creation of a prototype in the form of a mobile application. Each phase presents an important contribution: a summary of first-hand knowledge obtained from the reactions of individuals who survived Hurricane María, a novel modeling approach to the problem, and a convenient framework that synthesizes both previous components.
MeSH term(s)	Cyclonic Storms ; Disasters ; Humans ; Surveys and Questionnaires
Language	English
Publishing date	2022-10-14
Publishing country	United States
Document type	Journal Article
ZDB-ID	2799989-0
ISSN	1543-5865
ISSN	1543-5865
DOI	10.5055/jem.0548
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Article ; Online: Polyphenols from Passiflora ligularis Regulate Inflammatory Markers and Weight Gain.

Angel-Isaza, Jaime / Carmona-Hernandez, Juan Carlos / Narváez-Solarte, William / Gonzalez-Correa, Clara Helena

Biomolecular concepts

2021 Volume 12, Issue 1, Page(s) 36–45

Abstract: Weight-related disorders affect more than half of the adult population worldwide; they are also concomitant with a state of chronic low-grade inflammation manifesting in abnormal cytokine production. The present study evaluated the effect of polyphenol ... ...

Abstract	Weight-related disorders affect more than half of the adult population worldwide; they are also concomitant with a state of chronic low-grade inflammation manifesting in abnormal cytokine production. The present study evaluated the effect of polyphenol and flavonoid extract from
MeSH term(s)	Animals ; Biomarkers/metabolism ; Dietary Supplements ; Inflammation/drug therapy ; Inflammation/metabolism ; Inflammation/pathology ; Male ; Passiflora/chemistry ; Plant Extracts/pharmacology ; Polyphenols/pharmacology ; Rats ; Rats, Wistar ; Weight Gain
Chemical Substances	Biomarkers ; Plant Extracts ; Polyphenols
Language	English
Publishing date	2021-06-05
Publishing country	Germany
Document type	Journal Article
ZDB-ID	2557908-3
ISSN	1868-503X ; 1868-5021
ISSN (online)	1868-503X
ISSN	1868-5021
DOI	10.1515/bmc-2021-0005
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Article: Two New Strains of

Cano-Calle, Daniela / Saldamando-Benjumea, Clara I / Vivero-Gómez, Rafael J / Moreno-Herrera, Claudia X / Arango-Isaza, Rafael E

Indian journal of microbiology

2021 Volume 61, Issue 3, Page(s) 348–354

Abstract: Wolbachia: Supplementary information: The online version contains supplementary material available at 10.1007/s12088-021-00951-5. ...

Abstract	Wolbachia Supplementary information: The online version contains supplementary material available at 10.1007/s12088-021-00951-5.
Language	English
Publishing date	2021-06-04
Publishing country	India
Document type	Journal Article
ZDB-ID	413422-9
ISSN	0973-7715 ; 0046-8991
ISSN (online)	0973-7715
ISSN	0046-8991
DOI	10.1007/s12088-021-00951-5
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Article ; Online: Polyphenols from Passiflora ligularis Regulate Inflammatory Markers and Weight Gain

Angel-Isaza Jaime / Carmona-Hernandez Juan Carlos / Narváez-Solarte William / Gonzalez-Correa Clara Helena

Biomolecular Concepts, Vol 12, Iss 1, Pp 36-

2021 Volume 45

Abstract	Weight-related disorders affect more than half of the adult population worldwide; they are also concomitant with a state of chronic low-grade inflammation manifesting in abnormal cytokine production. The present study evaluated the effect of polyphenol and flavonoid extract from Passiflora ligularis (granadilla) on low-grade inflammation and body weight in overweight Wistar rats. To induce weight-gain, rats were fed a chow diet with 30% sucrose water and supplemented with 2.0, 2.5, and 3.0 g/L polyphenol extracts (n = 16). The design was a 3 +1 factorial model performed for 42 days (granadilla polyphenols, 3 levels of supplementation, and 1 control group). In addition to total polyphenol and total flavonoid content, the major identified and quantified polyphenol, via UHPLC, was ferulic acid. Interleukin 6 (IL-6), and cytokine tumor necrosis factor-alpha (TNF-α) were evaluated in serum. A decline in the concentration of TNF-α and in weight-gain was found in P. ligularis (granadilla) groups treated with the 2.5 g/L dose. Consumption of polyphenol extracts from granadilla inhibits interleukin-activity as an indicator of inflammation and aids in body-weight control, considering similar food intake, in overweight Wistar rats.
Keywords	passiflora ligularis (granadilla) ; phenolic compounds ; anti-inflammatory activity ; overweight rats ; Biology (General) ; QH301-705.5
Subject code	630
Language	English
Publishing date	2021-06-01T00:00:00Z
Publisher	De Gruyter
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Reincorporación laboral de mujeres con cáncer de mama: experiencia de un centro oncológico en la ciudad de Medellín.

Vasquez Trespalacios, Elsa Maria / Atehortua-Salazar, Sara / Arango-Isaza, Daniela / Gallego Vélez, Clara Paulina / Gallón Villegas, Luis Javier

Archivos de prevencion de riesgos laborales

2020 Volume 23, Issue 3, Page(s) 315–329

Abstract: Introduction: Advances in the diagnosis and treatment of breast cancer have improved the prognosis for these patients. Consequently, a greater number of survivors are facing the process of returning to work. The objective of the present study was to ... ...

Title translation	Return to work after breast cancer: experience of an oncological referral centre in Medellín, Colombia.
Abstract	Introduction: Advances in the diagnosis and treatment of breast cancer have improved the prognosis for these patients. Consequently, a greater number of survivors are facing the process of returning to work. The objective of the present study was to analyze the frequency, median time and factors related to the return to work of patients with breast cancer, after diagnosis and completion of treatment at a cancer referral center in the city of Medellín, Colombia METHODS: a retrospective cohort study was carried out with registries of patients with breast cancer (n = 141) from a reference cancer center. Sociodemographic, occupational, treatment variables and prevalence of return to work were measured. Results: The average age at diagnosis was 45.8 ± 9 years, Most of the women were premenopausal,and 45% performed manual labour. Advanced disease stage, manual labour, the presence of lymphedema and a greater number of episodes and days of disability werenegatively related to return to work. A total of 93% of patients returned to work. Conclusions: This study shows that return to work differs according to disease stage, treatment-related factors and type of work.
MeSH term(s)	Adult ; Breast Neoplasms/epidemiology ; Breast Neoplasms/psychology ; Breast Neoplasms/rehabilitation ; Colombia/epidemiology ; Employment/psychology ; Employment/statistics & numerical data ; Female ; Humans ; Middle Aged ; Occupational Health ; Referral and Consultation/statistics & numerical data ; Retrospective Studies ; Return to Work/statistics & numerical data ; Survivors/psychology ; Survivors/statistics & numerical data
Language	Spanish
Publishing date	2020-07-15
Publishing country	Spain
Document type	Journal Article
ISSN	1578-2549
ISSN (online)	1578-2549
DOI	10.12961/aprl.2020.23.03.02
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