Andrey Henrique Gama Pinheiro

Mr. Andrey Henrique Gama Pinheiro

orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
Verified
Journal Article
Open access
PDF file
APAndrey Henrique Gama Pinheiro
Andrey Henrique Gama Pinheiro
BPBeatriz de Oliveira Pereira
Beatriz de Oliveira Pereira
LSLilian Souza D’albuquerque Silva
Lilian Souza D’albuquerque Silva
FMFranciane T. Cunha de Melo
Franciane T. Cunha de Melo
ASAna Carolina Contente Braga de Souza
Ana Carolina Contente Braga de Souza
GCGiovanna Cavalcante
Giovanna Cavalcante
Type 1 Diabetes Mellitus (T1DM) can generate severe complications, such as Diabetic Kidney Disease (DKD) or Diabetic Nephropathy (DN), with it emerging as the leading cause of terminal (end-stage) renal disease all over the world. For T1DM, the clinical evaluation of DKD uses markers like the Glomerular Filtration Rate (GFR) and the Urinary Albumin Excretion (UAE). However, early diagnosis of DKD is still a challenge. For this reason, investigating molecular markers, such as microRNAs (miRNAs), offers a promising perspective to an early diagnosis, highlighting the stability and the ability to reflect incipient molecular manifestations. Thus, here we investigated four miRNAs (hsa-let-7i-5p, hsa-miR-143-3p, hsa-miR-501-3p, and hsa-miR-100-5p) regarding nephropathy in patients with T1DM, considering the albuminuria (micro and macro) as a standard to evaluate the groups. As a result, we found a reduced expression of miR-100-5p in patients with MIC, indicating a protective role in nephropathy. Beyond that, expression levels between the groups (Non vs. UAE) were not significant when comparing the miRNAs miR-501-3p and miR-143-3p. Finally, miR-143-3p and miR-100-5p were linked to some target genes such as AKT1, MMP13, and IGF1R, that are connected to signal pathways and cellular metabolism.

17 May 2023 in Archives of Veterinary Science
Verified
Journal Article
Open access
MDMaridelzira Betânia Moraes David
Maridelzira Betânia Moraes David
APAndrey Henrique Gama Pinheiro
Andrey Henrique Gama Pinheiro
RSRicardo Luis Sousa Santana
Ricardo Luis Sousa Santana
MCMarcela Dos Santos Castro
Marcela Dos Santos Castro
ECElaine Lopes de Carvalho
Elaine Lopes de Carvalho
EGElane Guerreiro Giese
Elane Guerreiro Giese
Ehrlichia spp., Anaplasma spp. and Babesia spp. are obligate intracellular parasitic microorganisms found in the blood of domestic animals. Until then, there were no reports of these hemoparasites in dogs in the northeast of the State of Pará. The aim of this study was to record cases of natural infection by Ehrlichia sp., Anaplasma sp. and Babesia sp. in dogs from Ilha de Algodoal/ Maiandeua, State of Pará, Brazil, through the detection of DNA from these agents. Whole blood samples were collected from 52 animals, without considering breed, sex or age. Include results for different species of animals and parasites. Molecular analysis data showed 50% co-infection for Ehrlichia sp. and Anaplasma sp. This study allowed the detection of Ehrlichia canis and Anaplasma platys in domestic dogs on Algodoal Island, an important ecological tourism site in northern Brazil.

2 October 2020 in Research Square
Verified
Preprint
Open access
APAndrey Henrique Gama Pinheiro
Andrey Henrique Gama Pinheiro
GXGabriel Xavier
Gabriel Xavier
ASAndrei Siqueira
Andrei Siqueira
ALAlex Lima
Alex Lima
DADélia Aguiar
Délia Aguiar
EGEvonnildo Gonçalves
Evonnildo Gonçalves
In December 2019, in the city of Wuhan in China, a novel Coronavirus was identified as the causative agent of a Severe Acute Respiratory Syndrome, later called Corona Virus Disease 2019 (COVID-19). Since the identification of the agent and sequencing of its genome, proteases such as 3CLpro and PLprothat participate in the viral cycle have been identified as possible pharmacological targets. This study aimed to evaluate the affinity of SARS-CoV-2 3CLpro (PDB 6LU7) concerning promising binders identified by other studies using virtual screening against the ZINC database and other molecules within the possibility of inhibiting the protease, such as Hydroxychloroquine, Chloroquine, and Remdesivir. Around 1,140 ns of molecular dynamics simulations were performed to evaluate stability and binding free energy values of protein-ligand complexes (60 ns for each ligand). The estimated affinity, based on 5000 frames trajectories, revealed that N3, 11b, remdesivir and a ZINC database ligand are the most promising inhibitors of 3CLpro.Given that most studies present energy results based on docking runs and one-frame coordinates analyses, the results found may present a more accurate energy value and may help experimental approaches to developing a drug against COVID-19. Despite the importance of vaccine development, alternative strategies, such as specific viral inhibitors, are important to reduce the impact of the disease on people.