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Book ; Online ; E-Book: Principles of genetics and molecular epidemiology

Gomez-Verjan, Juan Carlos / Rivero-Segura, Nadia Alejandra

2022

Author's details	Juan Carlos Gomez-Verjan, Nadia Alejandra Rivero-Segura editors
Keywords	Electronic books
Language	English
Size	1 Online-Ressource (xvii, 207 Seiten), Illustrationen, Diagramme
Publisher	Springer
Publishing place	Cham
Publishing country	Switzerland
Document type	Book ; Online ; E-Book
Remark	Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
HBZ-ID	HT021226724
ISBN	978-3-030-89601-0 ; 9783030896003 ; 3-030-89601-3 ; 3030896005
DOI	10.1007/978-3-030-89601-0
Database	ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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Book: Principles of Genetics and Molecular Epidemiology

Rivero-Segura, Nadia Alejandra / Gomez-Verjan, Juan Carlos

2022

Author's details	Juan Carlos Gomez-Verjan, Pharm, MSc, PhD§ Medical Researcher Dirección de Investigación Instituto Nacional de Geriatría (INGER), Ciudad de México, México Nadia Alejandra Rivero-Segura, Biol; PhD Medical Researcher Dirección de Investigación Instituto Nacional de Geriatría (INGER) Ciudad de México, México § Juan Carlos Gómez Verjan PhD is a Medical Researcher at Instituto Nacional de Geriatría in México City. He holds a Bachelor's in pharmacology and a master's degree in Sciences. Editor of a previously published book with Springer, Clinical Genetics and Genomics of Aging, he has published more than 20 scientific articles and 4 additional book chapters. He has performed research stays abroad and his research interests focus on genomics and epigenomics of aging, network pharmacology and bioinformatics. Nadia Alejandra Rivero Segura PhD is a Medical Researcher at Instituto Nacional de Geriatría in Mexico City. She holds a Bachelor¿s in biology and was a postdoctoral fellow at Divi
Keywords	Genomics ; Public Health ; microscopy ; Proteomics ; Metabolomics ; immunology ; Pharmacology ; Bioinformatics ; genetics ; genomics ; epidemiology ; public health ; pharmacology
Language	English
Size	228 p.
Edition	1
Publisher	Springer International Publishing
Document type	Book
Note	PDA Manuell_13
Format	215 x 285 x 18
ISBN	9783030896003 ; 3030896005
Database	PDA

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Book ; Online ; E-Book: Clinical genetics and genomics of aging

Gomez-Verjan, Juan Carlos / Rivero-Segura, Nadia Alejandra

2020

Author's details	Juan Carlos Gomez-Verjan, Nadia Alejandra Rivero-Segura editors
Keywords	Electronic books
Language	English
Size	1 Online-Ressource (xv, 271 Seiten), Illustrationen, Diagramme
Publisher	Springer
Publishing place	Cham
Publishing country	Switzerland
Document type	Book ; Online ; E-Book
Remark	Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
HBZ-ID	HT020440576
ISBN	978-3-030-40955-5 ; 9783030409548 ; 3-030-40955-4 ; 3030409546
DOI	10.1007/978-3-030-40955-5
Database	ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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Article ; Online: A spatio-temporal study of state-wide case-fatality risks during the first wave of the COVID-19 pandemic in Mexico.

Ramìrez-Aldana, Ricardo / Gomez-Verjan, Juan Carlos / Bello-Chavolla, Omar Yaxmehen / Naranjo, Lizbeth

Geospatial health

2022 Volume 17, Issue s1

Abstract: spatio-temporal analysis of the first wave of the coronavirus (COVID-19) pandemic in Mexico (April to September 2020) was performed by state. Descriptive analyses through diagrams, mapping, animations and time series representations were carried out. ... ...

Abstract	spatio-temporal analysis of the first wave of the coronavirus (COVID-19) pandemic in Mexico (April to September 2020) was performed by state. Descriptive analyses through diagrams, mapping, animations and time series representations were carried out. Greater risks were observed at certain times in specific regions. Various trends and clusters were observed and analysed by fitting linear mixed models and time series clustering. The association of co-morbidities and other variables were studied by fitting a spatial panel data linear model (SPLM). On average, the greatest risks were observed in Baja California Norte, Chiapas and Sonora, while some other densely populated states, e.g., Mexico City, had lower values. The trends varied by state and a four-order polynomial, including fixed and random effects, was necessary to model them. The most common risk development was observed in states belonging to two clusters and consisted of an initial increase followed by a decrease. Some states presented cluster configurations with a retarded risk increase before the decrease, while the risk increased throughout the time of study in others. A cyclic behaviour with a second increasing trend was also observed in some states. The SPLM approach revealed a positive significant association with respect to case fatality risk between certain groups, such as males and individuals aged 50 years and more, and the prevalence of chronic kidney disease, cardiovascular disease, asthma and hypertension. The analysis may provide valuable insight into COVID-19 dynamics applicable in future outbreaks, as well as identify determinants signifying certain trends at the state level. The combination of spatial and temporal information may provide a better understanding of the fatalities due to COVID-19.
MeSH term(s)	Aged ; COVID-19 ; Cluster Analysis ; Humans ; Male ; Mexico/epidemiology ; Middle Aged ; Pandemics ; Spatio-Temporal Analysis
Language	English
Publishing date	2022-03-24
Publishing country	Italy
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2276179-2
ISSN	1970-7096 ; 1827-1987
ISSN (online)	1970-7096
ISSN	1827-1987
DOI	10.4081/gh.2022.1054
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Unraveling the Neuroprotective Effect of Natural Bioactive Compounds Involved in the Modulation of Ischemic Stroke by Network Pharmacology.

Gomez-Verjan, Juan Carlos / Zepeda-Arzate, Emmanuel Alejandro / Santiago-de-la-Cruz, José Alberto / Estrella-Parra, Edgar Antonio / Rivero-Segura, Nadia Alejandra

Pharmaceuticals (Basel, Switzerland)

2023 Volume 16, Issue 10

Abstract: Ischemic stroke (IS) is one of the leading causes of mortality worldwide. It is characterized by the partial or total occlusion of arteries that supply blood to the brain, leading to the death of brain cells. In recent years, natural bioactive compounds ( ...

Abstract	Ischemic stroke (IS) is one of the leading causes of mortality worldwide. It is characterized by the partial or total occlusion of arteries that supply blood to the brain, leading to the death of brain cells. In recent years, natural bioactive compounds (NBCs) have shown properties that ameliorate the injury after IS and improve the patient's outcome, which has proven to be a potential therapeutic strategy due to their neuroprotective effects. Hence, in the present study, we use both systems pharmacology and chemoinformatic analyses to identify which NBCs have the most potential to be used against IS in clinics. Our results identify that flavonoids and terpenoids are the most studied NBCs, and, mainly, salidrosides, ginkgolides A, B, C, and K, cordycepin, curcumin, baicalin, resveratrol, fucose, and cannabidiol, target the main pathological processes occurring in IS. However, the medicinal chemistry properties of such compounds demonstrate that only six fulfill such criteria. However, only cordycepin and salidroside possess properties as leader molecules, suggesting that these compounds may be considered in developing novel drugs against IS.
Language	English
Publishing date	2023-09-28
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2193542-7
ISSN	1424-8247
ISSN	1424-8247
DOI	10.3390/ph16101376
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: The Unexplored World of Human Virome, Mycobiome, and Archaeome in Aging.

Barrera-Vázquez, Oscar Salvador / Gomez-Verjan, Juan Carlos

The journals of gerontology. Series A, Biological sciences and medical sciences

2019 Volume 75, Issue 10, Page(s) 1834–1837

Abstract: In the last decades, improvements in different aspects of sanitation, medical care, and nutrition, among others, have permitted an increase in the average lifespan of human population around the world. These advances have stimulated an increased interest ...

Abstract	In the last decades, improvements in different aspects of sanitation, medical care, and nutrition, among others, have permitted an increase in the average lifespan of human population around the world. These advances have stimulated an increased interest in the study of the aging process and age-sensitive characteristics, such as the microbial community that colonizes the human body (microbiome). The human microbiome is composed of bacteria (bacteriome), archaea (archaeome), fungi (mycobiome), and viruses (virome). To date, research has mainly been centered on the composition of the bacteriome, with other members remain poorly studied. Interestingly, changes in the composition of the microbiome have been implicated in aging and age-related diseases. Therefore, in the present perspective, we suggest expanding the scope to research to include the role and the possible associations that the other members of the microbiome could have in the aging organism. An expanded view of the microbiome would increase our knowledge of the physiology of aging and may be particularly valuable for the treatment and diagnosis of age-related diseases.
MeSH term(s)	Aging ; Archaea ; Humans ; Microbiota ; Mycobiome ; Phylogeny ; Virome
Language	English
Publishing date	2019-12-01
Publishing country	United States
Document type	Journal Article ; Review
ZDB-ID	1223643-3
ISSN	1758-535X ; 1079-5006
ISSN (online)	1758-535X
ISSN	1079-5006
DOI	10.1093/gerona/glz274
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Article ; Online: Spatial analysis of COVID-19 spread in Iran: Insights into geographical and structural transmission determinants at a province level.

Ramírez-Aldana, Ricardo / Gomez-Verjan, Juan Carlos / Bello-Chavolla, Omar Yaxmehen

PLoS neglected tropical diseases

2020 Volume 14, Issue 11, Page(s) e0008875

Abstract: The Islamic Republic of Iran reported its first COVID-19 cases by 19th February 2020, since then it has become one of the most affected countries, with more than 73,000 cases and 4,585 deaths to this date. Spatial modeling could be used to approach an ... ...

Abstract	The Islamic Republic of Iran reported its first COVID-19 cases by 19th February 2020, since then it has become one of the most affected countries, with more than 73,000 cases and 4,585 deaths to this date. Spatial modeling could be used to approach an understanding of structural and sociodemographic factors that have impacted COVID-19 spread at a province-level in Iran. Therefore, in the present paper, we developed a spatial statistical approach to describe how COVID-19 cases are spatially distributed and to identify significant spatial clusters of cases and how socioeconomic and climatic features of Iranian provinces might predict the number of cases. The analyses are applied to cumulative cases of the disease from February 19th to March 18th. They correspond to obtaining maps associated with quartiles for rates of COVID-19 cases smoothed through a Bayesian technique and relative risks, the calculation of global (Moran's I) and local indicators of spatial autocorrelation (LISA), both univariate and bivariate, to derive significant clustering, and the fit of a multivariate spatial lag model considering a set of variables potentially affecting the presence of the disease. We identified a cluster of provinces with significantly higher rates of COVID-19 cases around Tehran (p-value< 0.05), indicating that the COVID-19 spread within Iran was spatially correlated. Urbanized, highly connected provinces with older population structures and higher average temperatures were the most susceptible to present a higher number of COVID-19 cases (p-value < 0.05). Interestingly, literacy is a factor that is associated with a decrease in the number of cases (p-value < 0.05), which might be directly related to health literacy and compliance with public health measures. These features indicate that social distancing, protecting older adults, and vulnerable populations, as well as promoting health literacy, might be useful to reduce SARS-CoV-2 spread in Iran. One limitation of our analysis is that the most updated information we found concerning socioeconomic and climatic features is not for 2020, or even for a same year, so that the obtained associations should be interpreted with caution. Our approach could be applied to model COVID-19 outbreaks in other countries with similar characteristics or in case of an upturn in COVID-19 within Iran.
MeSH term(s)	Bayes Theorem ; COVID-19/epidemiology ; COVID-19/transmission ; Geography ; Humans ; Iran/epidemiology ; Pandemics ; SARS-CoV-2 ; Spatial Analysis
Keywords	covid19
Language	English
Publishing date	2020-11-18
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2429704-5
ISSN	1935-2735 ; 1935-2735
ISSN (online)	1935-2735
ISSN	1935-2735
DOI	10.1371/journal.pntd.0008875
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Spatial epidemiological study of the distribution, clustering, and risk factors associated with early COVID-19 mortality in Mexico.

Ramírez-Aldana, Ricardo / Gomez-Verjan, Juan Carlos / Bello-Chavolla, Omar Yaxmehen / García-Peña, Carmen

PloS one

2021 Volume 16, Issue 7, Page(s) e0254884

Abstract: COVID-19 is a respiratory disease caused by SARS-CoV-2, which has significantly impacted economic and public healthcare systems worldwide. SARS-CoV-2 is highly lethal in older adults (>65 years old) and in cases with underlying medical conditions, ... ...

Abstract	COVID-19 is a respiratory disease caused by SARS-CoV-2, which has significantly impacted economic and public healthcare systems worldwide. SARS-CoV-2 is highly lethal in older adults (>65 years old) and in cases with underlying medical conditions, including chronic respiratory diseases, immunosuppression, and cardio-metabolic diseases, including severe obesity, diabetes, and hypertension. The course of the COVID-19 pandemic in Mexico has led to many fatal cases in younger patients attributable to cardio-metabolic conditions. Thus, in the present study, we aimed to perform an early spatial epidemiological analysis for the COVID-19 outbreak in Mexico. Firstly, to evaluate how mortality risk from COVID-19 among tested individuals (MRt) is geographically distributed and secondly, to analyze the association of spatial predictors of MRt across different states in Mexico, controlling for the severity of the disease. Among health-related variables, diabetes and obesity were positively associated with COVID-19 fatality. When analyzing Mexico as a whole, we identified that both the percentages of external and internal migration had positive associations with early COVID-19 mortality risk with external migration having the second-highest positive association. As an indirect measure of urbanicity, population density, and overcrowding in households, the physicians-to-population ratio has the highest positive association with MRt. In contrast, the percentage of individuals in the age group between 10 to 39 years had a negative association with MRt. Geographically, Quintana Roo, Baja California, Chihuahua, and Tabasco (until April 2020) had higher MRt and standardized mortality ratios, suggesting that risks in these states were above what was nationally expected. Additionally, the strength of the association between some spatial predictors and the COVID-19 fatality risk varied by zone.
MeSH term(s)	Adolescent ; Adult ; Age Distribution ; Aged ; COVID-19/epidemiology ; COVID-19/metabolism ; COVID-19/mortality ; Cluster Analysis ; Female ; Human Migration/statistics & numerical data ; Humans ; Male ; Mexico/epidemiology ; Middle Aged ; Risk Factors ; Spatial Analysis ; Young Adult
Language	English
Publishing date	2021-07-21
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ISSN	1932-6203
ISSN (online)	1932-6203
DOI	10.1371/journal.pone.0254884
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Chemoinformatic Screening for the Selection of Potential Senolytic Compounds from Natural Products.

Barrera-Vázquez, Oscar Salvador / Gómez-Verjan, Juan Carlos / Magos-Guerrero, Gil Alfonso

Biomolecules

2021 Volume 11, Issue 3

Abstract: Cellular senescence is a cellular condition that involves significant changes in gene expression and the arrest of cell proliferation. Recently, it has been suggested in experimental models that the elimination of senescent cells with pharmacological ... ...

Abstract	Cellular senescence is a cellular condition that involves significant changes in gene expression and the arrest of cell proliferation. Recently, it has been suggested in experimental models that the elimination of senescent cells with pharmacological methods delays, prevents, and improves multiple adverse outcomes related to age. In this sense, the so-called senoylitic compounds are a class of drugs that selectively eliminates senescent cells (SCs) and that could be used in order to delay such adverse outcomes. Interestingly, the first senolytic drug (navitoclax) was discovered by using chemoinformatic and network analyses. Thus, in the present study, we searched for novel senolytic compounds through the use of chemoinformatic tools (fingerprinting and network pharmacology) over different chemical databases (InflamNat and BIOFACQUIM) coming from natural products (NPs) that have proven to be quite remarkable for drug development. As a result of screening, we obtained three molecules (hinokitiol, preussomerin C, and tanshinone I) that could be considered senolytic compound candidates since they share similarities in structure with senolytic leads (tunicamycin, ginsenoside Rb1, ABT 737, rapamycin, navitoclax, timosaponin A-III, digoxin, roxithromycin, and azithromycin) and targets involved in senescence pathways with potential use in the treatment of age-related diseases.
MeSH term(s)	Aging/physiology ; Animals ; Azithromycin/analysis ; Biological Products/analysis ; Cheminformatics ; Digoxin/analysis ; Humans ; Roxithromycin/analysis
Chemical Substances	Biological Products ; Roxithromycin (21KOF230FA) ; Digoxin (73K4184T59) ; Azithromycin (83905-01-5)
Language	English
Publishing date	2021-03-22
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2701262-1
ISSN	2218-273X ; 2218-273X
ISSN (online)	2218-273X
ISSN	2218-273X
DOI	10.3390/biom11030467
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Article ; Online: Structural and Pharmacological Network Analysis of miRNAs Involved in Acute Ischemic Stroke: A Systematic Review.

Barrera-Vázquez, Oscar Salvador / Gomez-Verjan, Juan Carlos / Ramírez-Aldana, Ricardo / Torre, Paola García-Dela / Rivero-Segura, Nadia Alejandra

International journal of molecular sciences

2022 Volume 23, Issue 9

Abstract: Acute ischemic stroke (AIS) is among the main causes of mortality worldwide. A rapid and opportune diagnosis is crucial to improve a patient's outcomes; despite the current advanced image technologies for diagnosis, their implementation is challenging. ... ...

Abstract	Acute ischemic stroke (AIS) is among the main causes of mortality worldwide. A rapid and opportune diagnosis is crucial to improve a patient's outcomes; despite the current advanced image technologies for diagnosis, their implementation is challenging. MicroRNAs have been recognized as useful as biomarkers since they are specific and stable for characterization of AIS. However, there is still a lack of consensus over the primary miRNAs implicated in AIS. Here, we performed a systematic review of the literature covering from 2015-2021 regarding miRNAs expression during AIS and built structural networks to analyze and identify the most common miRNAs expressed during AIS and shared pathways, genes, and compounds that seem to influence their expression. We identified two sets of miRNAs: on one side, a set that was independent of geographical location and tissue (miR-124, miR-107, miR-221, miR-223, miR-140, miR-151a, miR-181a, miR-320b, and miR-484); and on the other side, a set that was connected (hubs) in biological networks (miR-27b-3p, miR-26b-5p, miR-124-3p, miR-570-3p, miR-19a-3p, miR-101-3p and miR-25-3p), which altered
MeSH term(s)	Biomarkers ; Gene Regulatory Networks/genetics ; Humans ; Ischemic Stroke/genetics ; MicroRNAs/genetics
Chemical Substances	Biomarkers ; MicroRNAs ; Mirn140 microRNA, human
Language	English
Publishing date	2022-04-23
Publishing country	Switzerland
Document type	Journal Article ; Review ; Systematic Review
ZDB-ID	2019364-6
ISSN	1422-0067 ; 1422-0067 ; 1661-6596
ISSN (online)	1422-0067
ISSN	1422-0067 ; 1661-6596
DOI	10.3390/ijms23094663
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