Relationship between sarcopenic obesity‐related phenotypes and inflammatory markers in postmenopausal women

Dutra, Maurílio Tiradentes; Avelar, Bruna Pereira; Souza, Vinícius Carolino; Bottaro, Martim; Oliveira, Ricardo Jacó de; Nóbrega, Otávio Tolêdo; Lima, Ricardo Moreno

doi:10.1111/cpf.12287

Cited by 50 publications

(51 citation statements)

References 27 publications

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“…In fact, disproportions between an excessive amount of fat mass relative to a reduced lean mass and a severe increase in the AHI are related to disruptions in inflammatory and metabolic pathways . Pro‐inflammatory cytokines, such as IL‐6 and TNF‐α, are both increased in people with SO and OSA . Similarly, adverse hormonal profiles involving leptin, adiponectin, IGF‐1, and testosterone, as well as increased insulin resistance, are commonly described in pathophysiological models explaining both SO and OSA .…”

Section: Discussionmentioning

confidence: 99%

“…46,47 Pro-inflammatory cytokines, such as IL-6 and TNF-α, are both increased in people with SO and OSA. 48,49 Similarly, adverse hormonal profiles involving leptin, adiponectin, IGF-1, and testosterone, as well as increased insulin resistance, are commonly described in pathophysiological models explaining both SO and OSA. 6,[50][51][52] For instance, our analyses showed IGF-1 levels tended to be lower among OSA participants and SO participants.…”

Section: Discussionmentioning

confidence: 99%

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Associations between sleep conditions and body composition states: results of the EPISONO study

Piovezan

Hirotsu

Moizinho

et al. 2019

J cachexia sarcopenia muscle

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Background Evidence suggests anthropometric indicators of obesity are associated with changes in sleep quality and quantity, and the presence of obstructive sleep apnoea (OSA). Investigations including diverse and objective evaluations of sleep and body composition are scarce. We aimed to evaluate the associations between indicators of sleep impairment and body composition states in a sample from a population‐based study. Methods Participants of the first follow‐up of the EPISONO (São Paulo, Brazil) >50 years were cross‐sectionally evaluated. Sleep was assessed through questionnaires, actigraphy, and polysomnography. Body composition was evaluated by bioelectrical impedance analysis. Appendicular skeletal muscle mass adjusted for body mass index defined sarcopenia (men <0.789 and women <0.512). Total body fat defined obesity (men >30% and women >40%). The overlap between both conditions defined sarcopenic obesity (SO). Final results were obtained by multinomial logistic regression analysis. Results Three hundred fifty‐nine adults [mean (standard deviation) age, 61 (8.8) years; 212 (59.1%) female] were enrolled. Obesity was detected in 22.6% of the sample, sarcopenia in 5.6%, and SO in 16.2%. After controlling for covariates, OSA was associated with SO [odds ratio = 3.14, 95% confidence interval (CI) = 1.49–6.61]. Additionally, nocturnal hypoxaemia was associated with both obesity (adjusted odds ratio = 2.59, 95% CI = 1.49–4.49) and SO (odds ratio = 2.92, 95% CI = 1.39–6.13). Other indicators of poor sleep/sleep disorders were not associated with body composition states. Conclusions Sarcopenic obesity but not obesity alone was associated with OSA. Both obesity and SO but not sarcopenia were associated with nocturnal hypoxaemia. The findings suggest a complex pathophysiologic relationship between adverse body composition states and OSA. Upcoming research on risk factors and therapeutic interventions for OSA should target synchronically the lean and adipose body tissues.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Associations between sleep conditions and body composition states: results of the EPISONO study

Piovezan

Hirotsu

Moizinho

et al. 2019

J cachexia sarcopenia muscle

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“…In a recent study, it was shown that correlations between inflammatory markers and adiposity indices are strengthened in subjects with reduced hand grip test performance (Dutra et al. ). As shown in Tables , BMI and WHR had opposite impacts on grip strength.…”

Section: Discussionmentioning

confidence: 99%

Cross‐sectional association between physical strength, obesity, periodontitis and number of teeth in a general population

Eremenko

Pink

Biffar

et al. 2016

J Clinic Periodontology

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“…On the other hand, plasma CK is associated with decreased inflammation in obesity, whereas higher inflammation is associated with higher obesity-related cardiovascular disease (CVD) [5][6][7]. Besides, CK and lean body mass were inversely and independently associated with C-reactive protein in 454 overweight and obese individuals, supporting the anti-inflammatory effects of plasma CK [8].…”

Section: Introductionmentioning

confidence: 99%

Plasma creatine kinase and all-cause mortality in patients on peritoneal dialysis: a multi-center retrospective study

Wen

Peng

Feng

et al. 2020

Preprint

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Background Higher plasma creatine kinase (CK) values are associated with the failure of antihypertensive treatment. However, an association between CK and all-cause mortality in peritoneal dialysis (PD) patients has received little attention.Methods In this retrospective multicenter study, 1382 incident PD patients with baseline CK values were enrolled from November 1, 2005, to February 28, 2017. All patients with oral statins were excluded and then were divided into four groups according to quartile range [Quartile 1 (<60 U/L), Quartile 2 (60-100 U/L), Quartile 3 (101-179 U/L), and Quartile 4 (>179 U/L)]. The primary endpoint was all-cause mortality. The association between plasma CK values and all-cause mortality was assessed with Cox regression and the Fine and Gray models.Results Of 1382 patients 298 (21.6%) patients died during a median 35-month (interquartile range=19-54 months) follow-up period. Patients in Quartile 4 were older (P<0.001), likely to be male (P<0.001), had a higher prevalence of diabetes (P=0.002), and a history of cardiovascular disease (P=0.005), and higher values of Charlson comorbidity index (P=0.031). All-cause mortality incidence was a significant difference among the four Quartiles (Quartile 1, 16.2%; Quartile 2, 22.2%; Quartile 3, 23.8%; Quartile 4, 24.1%; P=0.043). Cumulative all-cause mortality in the Quartile 4 was significantly higher compared with other groups (Log Rank=10.55, P=0.015). After adjusting for confounding factors, the highest CK quartile had a hazard ratio (HR) for all-cause mortality of 1.75 [95% confidence interval (CI) 1.34-3.20, P=0.041]. With kidney transplantation or hemodialysis as a competing risk, the Quartile 4 had an HR for all-cause mortality of 1.66 (95%CI 1.30-3.41, P=0.044), after adjusting for confounding factors.Conclusions Higher plasma CK levels at the commencement of PD may be a valuable biomarker for predicting the development of all-cause mortality in PD patients.

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Relationship between sarcopenic obesity‐related phenotypes and inflammatory markers in postmenopausal women

Cited by 50 publications

References 27 publications

Associations between sleep conditions and body composition states: results of the EPISONO study

Associations between sleep conditions and body composition states: results of the EPISONO study

Cross‐sectional association between physical strength, obesity, periodontitis and number of teeth in a general population

Plasma creatine kinase and all-cause mortality in patients on peritoneal dialysis: a multi-center retrospective study

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