scholarly journals Polymorphisms of the TNF-α gene interact with plasma fatty acids on inflammatory biomarker profile: a population-based, cross-sectional study in São Paulo, Brazil

2017 ◽  
Vol 117 (12) ◽  
pp. 1663-1673 ◽  
Author(s):  
Erica Oki ◽  
Marina N. Norde ◽  
Antônio A. F. Carioca ◽  
José M. P. Souza ◽  
Inar A. Castro ◽  
...  
Keyword(s):  
Fatty Acids ◽  
Population Based ◽  
Cross Sectional Study ◽  
Sao Paulo ◽  
Inflammatory Biomarkers ◽  
Sectional Study ◽  
Cross Sectional ◽  
Plasma Fatty Acids ◽  
Inflammatory Biomarker ◽  
Tnf Α

AbstractThe aim of the present study was to investigate the relationship of four TNF-α SNP with inflammatory biomarkers and plasma fatty acids (FA), and the interaction among them in a population-based, cross-sectional study in São Paulo, Brazil. A total of 281 subjects, aged >19 and <60 years, participated in a cross-sectional, population-based study performed in Brazil. The following SNP spanning the TNF-α gene were genotyped: -238G/A (rs361525), -308G/A (rs1800629), -857C/T (rs1799724) and -1031T/C (rs1799964). In all, eleven plasma inflammatory biomarkers and plasma FA profile were determined. To analyse the interaction between TNF-α SNP and plasma FA, a cluster analysis was performed to stratify individuals based on eleven inflammatory biomarkers into two groups used as outcome: inflammatory (INF) and non-inflammatory clusters. The -238A allele carriers had higher TNF-α (P=0·033), IL-6 (P=0·013), IL-1β (P=0·037), IL-12 (0·048) and IL-10 (P=0·010) than the GG genotype. The -308A allele carriers also had lower levels of plasma palmitoleic acid (P=0·009), oleic acid (P=0·039), total MUFA (P=0·014), stearoyl-CoA desaturase (SCD) activity index-16 (P=0·007), SCD-18 (P=0·020) and higher levels of PUFA (P=0·046) and DHA (P=0·044). Significant interactions modifying the risk of belonging to the INF cluster were observed with inflammatory cluster as outcome between -857C/T and plasma α-linolenic acid (P=0·026), and also between -308G/A and plasma stearic acid (P=0·044) and total SFA (P=0·040). Our study contributes to knowledge on TNF-α SNP and their association with inflammatory biomarker levels, plasma FA and the interaction among them, of particular interest for the Brazilian population.

Association of plasma fatty acids pattern with omentin gene expression in human adipose tissues: A cross-sectional study

2020 ◽  
Author(s):  
Mohammad Nosrati-Oskouie ◽  
Emad Yuzbashian ◽  
Maryam Zarkesh ◽  
Nazanin sadat Aghili-Moghadam ◽  
Mehdi Hedayati ◽  
...  
Keyword(s):  
Gene Expression ◽  
Fatty Acids ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Adipose Tissues ◽  
Plasma Fatty Acids

24 bp duplication of CHIT1 gene and determinants of human chitotriosidase activity among participants of EPISONO, a population-based cross-sectional study, São Paulo, Brazil

2013 ◽  
Vol 46 (12) ◽  
pp. 1084-1088 ◽  
Author(s):  
Priscila Tamanaha ◽  
Vânia D'Almeida ◽  
Bruno F.A. Calegare ◽  
Luciana Yuki Tomita ◽  
Lia Rita A. Bittencourt ◽  
...  
Keyword(s):  
Population Based ◽  
Cross Sectional Study ◽  
Sao Paulo ◽  
São Paulo ◽  
Sectional Study ◽  
Cross Sectional ◽  
Chitotriosidase Activity

Influence of adiponectin gene variants and plasma fatty acids on systemic inflammation state association-A cross-sectional population-based study, São Paulo, Brazil

2015 ◽  
Vol 60 (2) ◽  
pp. 278-286 ◽  
Author(s):  
Marina Maintinguer Norde ◽  
Érica Oki ◽  
Inar Alves de Castro ◽  
José Maria Pacheco Souza ◽  
Nágila Raquel Teixeira Damasceno ◽  
...  
Keyword(s):  
Fatty Acids ◽  
Systemic Inflammation ◽  
Population Based ◽  
Sao Paulo ◽  
Gene Variants ◽  
Adiponectin Gene ◽  
Cross Sectional ◽  
Population Based Study ◽  
Plasma Fatty Acids ◽  
State Association

scholarly journals Prevalence of disabilities and non-communicable diseases in an elderly population in the Telangana state, India: a population-based cross-sectional study

BMJ Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. e041755
Author(s):  
Srinivas Marmamula ◽  
Satya Brahmanandam Modepalli ◽  
Thirupathi Reddy Kumbham ◽  
Rajesh Challa ◽  
Jill E Keeffe
Keyword(s):  
Elderly Population ◽  
Self Care ◽  
The Elderly ◽  
Population Based ◽  
Cross Sectional Study ◽  
Communicable Diseases ◽  
Self Report ◽  
Sectional Study ◽  
Cross Sectional ◽  
Non Communicable Diseases

ObjectivesTo assess the prevalence of disabilities (vision, hearing, mobility, cognitive, self-care and communication) and non-communicable diseases (NCDs) among the elderly population in two districts in Telangana, India.DesignPopulation-based cross-sectional study using a cluster random sampling method to select the study clusters.SettingElderly population in Khammam and Warangal districts were recruited. Detailed interviews were conducted by trained community health workers. Personal and demographic information such as age, gender, level of education and a self-report of NCDs was collected. The Washington Disability Questionnaire was administered to assess the presence of disabilities.Participants1821 participants aged ≥60 years, 54.5% were women, and 73.3% had no education.Primary outcome measurePrevalence of disabilities and NCDs.ResultsOverall, the prevalence of at least disability was 20.3% (95% CI 16.3 to 24.9). The prevalence of self- reported disabilities were: seeing (5.9%; 95% CI 4.4 to 7.8), mobility (12.8%; 95% CI 9.7 to 16.8), hearing (3.6%; 95% CI 2.7 to 4.8), cognition (4.8%; 95% CI 3.5 to 6.7), self-care (3.3%; 95% CI 2.3 to 4.7) and communication (1.8%; 95% CI 1.2 to 2.6). Overall, the prevalence of at least one NCD was 34.2% (95% CI 30.9 to 37.7). Hypertension was the most common systemic condition (25.4%; 95% CI 22.4 to 28.7), followed by diabetes (9.0%; 95% CI 7.3 to 11.0), and body pains (muscle-skeletal) (9.9%; 95% CI 8.1 to 12.2).ConclusionEvery fifth elderly person in the districts of Khammam and Warangal in Telangana had at least one self-reported disability. Besides, a third of the elderly had at least one NCD. There is a definite need to develop comprehensive public health strategies to address disabilities and NCDs in Telangana.

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