Killer cell immunoglobulin-like receptor (KIR) gene diversity in a population naturally exposed to malaria in Porto Velho, Northern Brazil

The outcome of HSCT is strongly in?uenced by the genetic similarity or identity in the HLA genes that affects the incidence of graft-versus-host disease (GvHD). Successful allogeneic HSCT, however, depends also on T-cell mediated graft-versus-leukemia (GvL) effect, in which donor-derived T cells and natural killer (NK) cells kill these malignant cells in the patient, therefore playing a crucial role in relapse prevention. The aim of this study was to make the predictive analysis of the structure and distribution of B KIR alleles and centromeric and telomeric KIR genotypes in HSCT donors in Vojvodina with regard to their contribution to protection from relapse. A total of 124 first-degree relatives of patients with hematological malignancies were examined for the presence or absence of 15 KIR genes by using of PCR-SSO technique with Luminex xMap technology. The percentage of individuals carrying each KIR gene, centromeric and telomeric KIR haplotypes and genotypes was determined by direct counting. Sixty two percent of the HSCT donors in Vojvodina carry A KIR haplotype, while nearly 38% carry B KIR haplotype. The distribution of B KIR genes showed that among 124 studied HSCT donors, 31(25%) do not carry none of the KIR genes belonging to B group, 71.77% of donors have two or more B KIR genes, 61.29% of them carry KIR 2DL2 and 2DS2 or more B KIR genes. The analysis of centromeric and telomeric KIR genotypes, showed that Cen-A1/Tel-A1 genotype had a highest frequency of 51.47% and Cen-B2/Tel-B1 the lowest frequency of 1.30%. The usage of donor KIR B gene content and centromeric and telomeric KIR gene structure could be used in development of a simple algorithm to identify donors who will provide the most protection against the relapse in related HSC transplants.

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Killer-cell Immunoglobulin-like Receptor (KIR) gene profiles modify HIV disease course, not HIV acquisition in South African women

BMC Infectious Diseases ◽

10.1186/s12879-016-1361-1 ◽

2015 ◽

Vol 16 (1) ◽

Cited By ~ 10

Author(s):

V. Naranbhai ◽

D. de Assis Rosa ◽

L. Werner ◽

R. Moodley ◽

H. Hong ◽

...

Keyword(s):

South African ◽

Killer Cell ◽

African Women ◽

Disease Course ◽

Hiv Disease ◽

Gene Profiles ◽

Hiv Acquisition ◽

South African Women ◽

Kir Gene

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Investigation of killer cell immunoglobulin-like receptor gene diversity: IV. KIR3DL1/S1

Human Immunology ◽

10.1016/j.humimm.2004.03.003 ◽

2004 ◽

Vol 65 (6) ◽

pp. 602-612 ◽

Cited By ~ 34

Author(s):

Iris A. Halfpenny ◽

Derek Middleton ◽

Yvonne A. Barnett ◽

Fionnuala Williams

Keyword(s):

Gene Diversity ◽

Receptor Gene ◽

Killer Cell

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Overweight and obesity: prevalence in children and adolescents in Northern Brazil

Journal of Human Growth and Development ◽

10.7322/jhgd.v30.10376 ◽

2020 ◽

Vol 30 (2) ◽

pp. 266-273

Author(s):

Edson Dos Santos Farias ◽

Katia Fernanda Alves Moreira ◽

Josivana Pontes dos Santos ◽

Ivanice Fernandes Barcellos Gemelli ◽

Gean Magalhães da Costa ◽

...

Keyword(s):

Public Schools ◽

Children And Adolescents ◽

Overweight And Obesity ◽

The Body ◽

World Health ◽

Obesity Prevalence ◽

The Social ◽

Northern Brazil ◽

Health Organization ◽

Porto Velho

Introduction: Obesity is a chronic disease with a multifactorial etiology, brought about by a set of genetic, environmental and psychological factors. This may generate comorbidities that affect the quality of life and involve other risks to health. Objective: To describe the prevalence of overweight and obesity in school children and adolescents in Porto Velho - Rondônia, Brazil in the period 2013-2016. Methods: This study included 4165 schoolchildren aged 9 to 18 years. The students were classified as overweight and obese, according to the z score of the body mass index (BMI) for age and calculated according the WHO AnthroPlus program. Subsequently, BMI for age was categorized according to the criteria proposed by the World Health Organization (WHO, 2007): overweight (? score z +1 ? z + 2) and obese (? score z +2). Prevalence calculations were performed using the SPSS version 20.0 program. Results: Overall, the prevalence of overweight was 27.1%, being overweight 18.8% and obese 8.3%, in private schools 21.4% and 9.8%, public schools 17.0% and 7.2% respectively. The east zone predominated in both education networks 18.8% and 8.3% respectively. In males, the highest prevalence was at nine years old, 30.7% and 23.0%, and female, 24.3% and 13.8%. Conclusion: The magnitude of the prevalence of overweight and obesity was high and worrying among schoolchildren and adolescents in the city of Porto Velho, which demonstrates the need for public health actions aimed at the family unit, regardless of the social segment.

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KIR gene content imputation from single-nucleotide polymorphisms in the Finnish population

PeerJ ◽

10.7717/peerj.12692 ◽

2022 ◽

Vol 10 ◽

pp. e12692

Author(s):

Jarmo Ritari ◽

Kati Hyvärinen ◽

Jukka Partanen ◽

Satu Koskela

Keyword(s):

Viral Infections ◽

Nk Cell ◽

Killer Cell ◽

Cell Activity ◽

Gene Copy Number ◽

Human Leukocyte ◽

Gene Content ◽

Gene Copy ◽

Nucleotide Polymorphisms ◽

Kir Gene

The killer cell immunoglobulin-like receptor (KIR) gene cluster on chromosome 19 encodes cell surface glycoproteins that bind class I human leukocyte antigen (HLA) molecules as well as some other ligands. Through regulation of natural killer (NK) cell activity KIRs participate in tumour surveillance and clearing viral infections. KIR gene gene copy number variation associates with the outcome of transplantations and susceptibility to immune-mediated diseases. Inferring KIR gene content from genetic variant data is therefore desirable for immunogenetic analysis, particularly in the context of growing biobank genome data collections that rely on genotyping by microarray. Here we describe a stand-alone and freely available gene content imputation for 12 KIR genes. The models were trained using 807 Finnish biobank samples genotyped for 5900 KIR-region SNPs and analysed for KIR gene content with targeted sequencing. Cross-validation results demonstrate a high mean overall accuracy of 98.5% (95% CI [97.0–99.2]%) which compares favourably with previous methods including short-read sequencing based approaches.

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