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. 2021 Nov 11;11:22058. doi: 10.1038/s41598-021-01553-3

Circulating sTweak is associated with visceral adiposity and severity in patients with obstructive sleep apnea syndrome

Sule Cilekar 1,✉, Selvihan Beysel 2, Savas Karatas 3, Aydin Balci 1, Kursad Akaslan 4, Ali Uncu 5
PMCID: PMC8586253  PMID: 34764367

Abstract

Hypoxia is linked to an inflammatory imbalance in obstructive sleep apnea syndrome (OSAS). Circulating soluble tumor necrosis factor (TNF)-like weak inducer of apoptosis (sTWEAK) is a cytokine that regulates inflammation and insulin resistance in adipose tissue. This study first investigated sTWEAK concentrations in patients OSAS and evaluated associations between sTWEAK concentrations and visceral adiposity, metabolic dysfunction, and hypoxia observed in OSAS. Forty age, sex, and body mass index-matched patients with simple habitual snoring (HSS) and 70 patients with OSAS were included. Patients were divided according to OSAS severity: mild-moderate (apnea–hypopnea index, AHI 5–30 events/h) and severe (AHI ≥ 30 events/h). Anthropometric data, glucose metabolism, visceral fat (VF) ratio, and sTWEAK levels were compared. sTWEAK levels were higher in the OSAS group than in the HSS group (931.23 ± 136.48 vs. 735.22 ± 102.84 ng/L, p = 0.001). sTWEAK levels were higher in severe OSAS than in mild-moderate OSAS (1031.83 ± 146.69 vs. 891.01 ± 110.01 ng/L, p = 0.002. When we evaluated the sTWEAK value and AHI, VF ratio, total cholesterol, blood pressure, homeostasis model of assessment-insulin resistance, and high-sensitivity C-reactive protein using multiple regression analysis, a significant correlation was found between sTWEAK levels and AHI (p < 0.001). It was found that sTWEAK levels were not correlated with glucose metabolism and VF ratio. Increased circulating sTWEAK levels were associated with the severity of OSAS. High sTWEAK levels were correlated with increased AHI. sTWEAK concentrations are linked to severe OSAS.

Subject terms: Immunology, Biomarkers, Diseases, Health care, Health occupations, Medical research, Pathogenesis, Risk factors, Signs and symptoms

Introduction

Obstructive sleep apnea is a common sleep-related breathing disorder. Patients with OSAS present with a clinical picture characterized by repetitive collapse of the pharynx during sleep, which causes oxygen desaturation and recurrent awakenings from sleep. Patients with OSAS may develop several cardiovascular complications such as hypertension, cardiac arrhythmias, left heart failure, coronary artery disease, right heart failure/pulmonary hypertension, and also cerebrovascular complications in the long term. The mechanisms that occur in the body secondary to hypoxemia are thought to play a role in the development of various complications. The number and severity of complications are positively correlated with the duration and degree of hypoxemia1.

Tumor necrosis factor (TNF)-like weak inducer of apoptosis (TWEAK) and its receptor fibroblast growth factor-inducible 14 (Fn14) is a ligand-receptor pair in the TNF superfamily2. Fn14 is identified as the specific TWEAK receptor. The Fn14 gene is located at the 16p13.3 chromosome, encoding a transmembrane protein. The TWEAK gene is located on the 17p13.1 chromosome, encoding a transmembrane protein that can co-express both membrane and soluble TWEAK3. Fn14 binds TWEAK with physiologic affinity at the extracellular domain, transducing TWEAK/Fn14 signaling4. Circulating soluble TWEAK (sTWEAK) is expressed in various cells such as in the intestine, tumor cell lines, liver, skeletal muscle, pancreas, and adipose tissue; Fn14 expression does not occur in healthy tissues under normal conditions5. After tissue damage, Fn14 expression is immediately stimulated in injured tissues, including skeletal muscle, heart, kidney, liver, and atherosclerotic vessels2–5.

Studies show that cell regeneration and apoptosis are regulated by increased sTWEAK values after damage and destruction due to various causes, including hypoxia in tissues. sTWEAK-induced pro-inflammatory activity is mediated through the canonic NF-KB pathway in subcutaneous adipocytes and non-canonic NF-KB pathway only in visceral adipocytes6. sTWEAK inhibits adipocyte differentiation and induces a moderate inflammatory state7. There are conflicting studies regarding that the correlation between the TWEAK/Fn14 pathway and metabolic disorders8,9. However, there has been no report on the concentrations of sTWEAK in visceral obesity and metabolic dysfunction in patients with OSAS. This study aimed to determine sTWEAK concentrations in patients with OSAS, and investigate the associations with metabolic disorders, visceral obesity, and hypoxemia, and potentially explain the severity of OSAS.

Materials and methods

Sample population

Patients who snored and/or disturbed sleep were referred to the Sleep Disorders Unit at a tertiary University Hospital between March 2017 and April 2018. The patients were investigated for symptoms of OSAS. One hundred ten consecutive subjects with suspected OSAS wereanalyzed. Forty (36.3%) patients with negative polysomnography (apnea–hypopnea index, AHI < 5, 3.65 ± 0.48) comprised the simple habitual snoring (HSS) group. 40 age, sex, and body mass index (BMI)-matched patients with HSS and 70 patients with OSAS (AHI: 20.47 ± 12.93) were included.

The exclusion criteria were as follows: patients with chronic diseases such as liver insufficiency, chronic renal failure, thyroid dysfunction, autoimmune, and/or psychiatric disorders or treated with any type of medications affecting lipid metabolism and insulin secretion. Also, patients who had a disease that might cause higher levels of sTWEAK, including myocardial infarction, chronic heart disease, chronic renal failure, and liver insufficiency were excluded.

The diagnosis of OSAS was made through cardiorespiratory sleep tests, including nasal flow, thoracic movements, body position, heart rate, and snoring. HSS and OSAS were diagnosed according to the AHI (frequency of apnea and hypopnea per hour of sleep ≥ 5/h). Overnight polysomnography (Embla Flaga Inc. Iceland) was performed for all patients in a sleep laboratory. Electroencephalography, oral-nasal airflow, electrooculography, chest and abdominal movement, pulse oximetry, and body position were recorded. A pause of airflow of more than 10 s was defined as apnea. A decrease of airflow of more than 10 s was defined as hypopnea. Oxygen desaturation means 4% or greater. AHI was assessed to investigate the severity of OSAS. OSAS was defined when AHI was ≥ 5. The patients were divided into two groups according to OSAS severity: mild-moderate OSAS (AHI 5–30 events/h) and severe OSAS (AHI ≥ 30 events/h).

All patients were assessed for anthropometric indices. Waist circumference was measured midway between the lower costal margin and iliac crest. Hip circumference was measured at the height of the greater trochanter. Based on these two values, the waist-to-hip ratio (WHR) was determined. BMI was calculated as weight (kg) divided by height (m2). Blood pressure (BP) was measured twice using a mercury sphygmomanometer from the right arm of patients in the sitting position after 5 min of rest, and the average value was calculated. Body composition was assessed using a two-point bioelectric impedance apparatus (BIA) calibrated for adults (VISCAN Corp.). Fasting serum glucose, insulin, triglycerides, total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) levels were measured. Insulin resistance (IR) was assessed using the homeostatic model assessment-insulin resistance (HOMA-IR) index equation: HOMA-IR = [fasting insulin (mIU/L) × fasting glucose (mg/dL)]/40521. sTWEAK levels were measured using a commercially available kit with an enzyme-linked immunosorbent assay (ELISA) (Human Tumor necrosis factor-related weak inducer of apoptosis (TWEAK) ELISA Kit, Eastbiopharm Co LTD, Hangzhou, China). The assay range was 10 ng/L and 4000 ng/L with a lower sensitivity limit of 5.53 ng/L.

This study was approved by the Afyonkarahisar Health Science University local ethics committee (2019/157), and written informed consent was obtained from all participants. All methods were performed in accordance with the relevant guidelines and regulations.

Statistical analysis

In our study, the minimum sample size was 102, with an effect size of 0.50, 95% confidence interval, and 80% power to determine the sTWEAK concentrations of patients with OSAS, and investigate the associations with metabolic disorders, visceral obesity, hypoxemia, and potentially explain the severity of OSAS. Considering that there might be incomplete or incorrect information, measurements were made from 110 patients, and the data were evaluated.

Data were analyzed using the SPSS 20 for Windows software package (SPSS Inc., Chicago, USA). The Shapiro–Wilk test was used to determine normal distribution. Continuous variables are presented as mean ± standard deviation (SD), and categorical variables as percentages. The difference between the groups was analyzed using one-way analysis of variance (ANOVA) followed by the post hoc Tukey–Kramer test for multiple comparisons. Correlations were analyzed using Pearson and Spearman's tests. Multiple regression analysis was used to determine variables that certainly determined OSAS. p-values of < 0.05 were considered significant.

Results

According to the AHI, 50 patients had mild-moderate OSAS (AHI: 13.10 ± 5.41 events/h), and 20 (71.42%) had severe OSAS (AHI: 38.90 ± 5.61 events/h) (Table 1). Age, sex, and BMI values were similar between the OSAS and HSS groups (p > 0.05). Insulin, HOMA-IR, and lipids were higher in the OSAS group than in the HSS group (p < 0.05). The visceral fat (VF) ratio (13.30 ± 3.31 vs. 10.51 ± 1.67%) was high in the OSAS group compared with the HSS group (p < 0.05). sTWEAK levels were high in the OSAS group compared with the HSS group (931.23 ± 136.48 vs. 735.22 ± 102.84 ng/L, p = 0.001) (Table 1).

Table 1.

Characteristics of patients with HSS, mild-moderate OSAS and severe OSAS.

HSS (n = 40) Mild-moderate OSAS AHI ≥ 5 < 30 (n = 50) Severe OSAS AHI ≥ 30 (n = 20) p
Age (years) 50.68 ± 2.74 50.66 ± 10.67 53.10 ± 5.79    0.302
Female n (%) 30.28 ± 2.81 43 (86.0%) 19 (95.0%)    0.285
BMI (kg/m2) 33 (82.5%)a 30.15 ± 3.64b 31.89 ± 3.93a,b    0.579
Waist/hip ratio 0.87 ± 0.36 0.89 ± 0.05 0.91 ± 0.07    0.209
Systolic blood pressure (mmHg) 121.15 ± 8.77a,b 127.01 ± 6.38a 125.51 ± 9.01b < 0.001
Diastolic blood pressure (mmHg) 76.85 ± 5.25 77.01 ± 5.34 76.50 ± 5.15     0.998
Triglyceride (mg/dL) 115.62 ± 35.37a 175.02 ± 83.21a 165.95 ± 109.94 < 0.001
Total cholesterol (mg/dL) 187.21 ± 21.99a 222.90 ± 40.21a 208.49 ± 50.42     0.01
HDL-C (mg/dL) 55.22 ± 10.51a 48.24 ± 9.83a,b,c 54.20 ± 12.85b,c < 0.001
LDL-C (mg/dL) 105.98 ± 16.24a 139.66 ± 33.41a 121.10 ± 30.81 < 0.001
Glucose (mg/dL) 120.55 ± 3.90 145.38 ± 36.81 131.75 ± 38.05    0.140
Insulin (µIU/mL) 8.58 ± 3.85a 14.03 ± 6.64a 12.61 ± 4.78 < 0.001
HOMA-IR 2.79 ± 1.86a 5.37 ± 3.34a 4.40 ± 2.58 < 0.001
hs-CRP (mg/dL) 2.10 ± 1.21 3.36 ± 3.27 3.12 ± 3.15    0.58
TWEAK (ng/L) 735.22 ± 102.84a,b 891.01 ± 110.01a,c 1031.83 ± 146.69b,c    0.002
AHI 2.3 ± 2.5a,c 13.10 ± 5.41a,b 38.90 ± 5.61b,c < 0.001
Visceral fat ratio (% body weight) 3.65 ± 0.48a,b 12.16 ± 2.83a,c 16.15 ± 2.68b,c < 0.001
Open in a new tab

Significant values are in bold.

HSS Habitual simple snoring. OSAS: Obstructive sleep apnoea syndrome. BMI: Body mass index, HDL-C High-density lipoprotein cholesterol, LDL-C Low-density lipoprotein cholesterol, HOMA-IR Homeostasis model of assessment-insulin resistance, LDL-C Low-density lipoprotein cholesterol, hs-CRP High sensitivity C-reactive protein, TWEAK Tumor necrosis factor (TNF)-like weak inducer of apoptosis, AHI Apnea/hypopnea index.

aShows the difference between which groups.

bShows the difference between which groups.

cShows the difference between which groups.

The VF ratio was high in the severe OSAS group compared with the mild-moderate OSAS group (16.15 ± 2.68 vs. 12.16 ± 2.83%, p = 0.001). Triglyceride, insulin, HOMA-IR, and hs-CRP values were similar between the severe and mild-moderate OSAS groups (p > 0.05). sTWEAK levels were high in the severe OSAS group compared with the mild-moderate OSAS group (1031.83 ± 146.69 vs. 891.01 ± 110.01 ng/L, p = 0.002) (Table 1).

There was a significant positive relationship between AHI and sTWEAK when we evaluated the relationship between TWEAK values and AHI, VFRT, hs-CRP, HOMA-IR, total cholesterol, and blood pressure using multiple regression tests (R2 = 0.419) (p < 0.001). No relationship was observed between sTWEAK and all other parameters after this multiple regression analysis (Table 2).

Table 2.

Evaluation of the relationship of TWEAK variable with other parameters by multiple regression analysis.

Model TWEAK (R2 = 0.419) Beta 95% confidence interval for B p
Lower bound Upper bound
(Constant) 418.076 2231.397 0.005
Systolic blood pres − 0.029 − 6.408 4.655 0.754
Diastolic blood pres − 0.109 − 12.193 2.684 0.208
Triglyceride − 0.046 − 0.533 0.327 0.636
Total cholesterol 0.125 − 0.187 1.216 0.149
HDL-C − 0.170 − 6.110 0.093 0.057
LDL-C − 0.078 − 1.543 0.789 0.523
HOMA-IR 0.070 − 6.301 14.013 0.453
AHI 0.583 3.207 10.422 < 0.01
hs-CRP − 0.037 − 11.525 7.302 0.657
VFRT − 0.031 − 16.134 12.624 0.809
Open in a new tab

Significant values are in bold.

Variables included in the model: age, GDM (no/yes), family history of T2DM, previous GDM, systolic and diastolic blood pressure, HDL cholesterol, TG, prepregnancy BMI, sTWEAK.

Variables included in the model: age, GDM (no/yes), family history of T2DM, previous GDM, systolic and diastolic blood pressure, HDL cholesterol, TG, prepregnancy BMI, sTWEAK.

Variables included in the model; TWEAK Tumor necrosis factor (TNF)-like weak inducer of apoptosis, HDL-C High-density lipoprotein cholesterol, LDL-C Low-density lipoprotein cholesterol, HOMA-IR Homeostasis model of assessment-insulin resistance, AHI Apnea/hypopnea index, hs-CRP high sensitivity C-reactive protein, VFRT Visceral fat ratio.

Discussion

This study showed that sTWEAK concentrations were higher in patients with severe OSAS than in patients with mild OSAS and HSS. High sTWEAK levels were positively correlated with increased AHI but not with cardiometabolic parameters and VF ratio. These findings showed that increased circulating sTWEAK concentrations were associated with the severity of OSAS.

The result of OSAS disease is hypoxemia. As the severity of OSAS increases, the depth of hypoxemia in patients also increases. Inadequate oxygen supply causes mitochondrial dysfunction and endoplasmic reticulum stress10. The pathophysiology of this process is complex and multifactorial. Mechanisms such as mitochondrial dysfunction, oxidative/nitrosative stress, apoptosis, necroptosis, and inflammatory processes are involved6. The increase in sTWEAK values due to tissue damage secondary to hypoxemia may be considered as a recovery mechanism. This situation may also be related to the inflammatory process that occurs secondary to hypoxemia. A possible mechanism is that hypoxia changes the balance between anti-inflammatory and pro-inflammatory impact on adipose tissue6,7. We think that it is aimed at repairing the damage that develops in the tissues. It was shown in a study that increased sTWEAK protein due to carbon monoxide poisoning caused tissue hypoxia and apoptosis4.

sTWEAK is a multifunctional cytokine, and it modulates several cellular processes such as the stimulation of cell proliferation, differentiation, and stimulates inflammatory cytokines, angiogenesis, inflammation, migration, and rarely apoptosis5–7. sTWEAK has pleiotropic effects depending on conditions3. In acute injury or inflammation, sTWEAK controls proliferative and inflammatory responses contributing to repair and regeneration. Nevertheless, in a chronic state characterized by persistent Fn14 up-regulation, sTWEAK can augment inflammation and induce tissue damage, fibrosis, and aberrant remodeling2,3. Experimental animal studies have shown that TWEAK/Fn14 signal expression is increased in tissues damaged by hypoxia11. When multiple regression analysis was conducted on sTWEAK values and all other parameters, especially AHI, a significant relationship was observed between sTWEAK and AHI only (Table 2). sTWEAK is associated with outcomes in OSAS. Patients with OSAS and HSS with similar BMI were included in this study to eliminate the effect of obesity on sTWEAK.

The impacts of sTWEAK on human bronchial epithelial cells in asthma and chronic obstructive pulmonary disease (COPD) have been investigated12–15. In patients with non-eosinophilic childhood asthma, increased levels of the expression of sTWEAK in sputum were found. It was determined that sTWEAK levels showed a positive correlation with the severity of asthma16. The pro-inflammatory cytokine sTWEAK has been found to contribute to chronic airway inflammation by stimulating TGF-β-induced epithelial–mesenchymal transition in human bronchial epithelial cells12. During the epithelial–mesenchymal transition, sTWEAK and TGF-β1 have been shown to act synergistically to induce the production of asthma-related chemokines and cytokines in human bronchial epithelial cells13. TWEAK/Fn14 pathway-augmented human airway smooth muscle cell proliferation and migration through activation of the canonic NF-KB signaling pathway participate in airway remodeling in asthma14. The TWEAK/Fn14 axis enhances human bronchial epithelial cells to increase the release of interleukin (IL)-8 and granulocyte–macrophage colony-stimulating factor (GM-CSF)14. sTWEAK and TNF-α cytokine expression was increased in patients with stable COPD with skeletal muscle dysfunction17.

sTWEAK and Fn14 are expressed in both visceral adipose tissue and subcutaneous adipose tissue18–20. sTWEAK is a modulator of the inflammatory/anti-inflammatory equilibrium in the insulin-resistance condition8,9. Inflammation can control the expression of sTWEAK in macrophages and Fn14 in adipocytes19. Adipocytes of patients with severe obesity had increased Fn14 concentrations in inflammatory conditions6,19,20. In our study, sTWEAK was not correlated with the VF ratio. The effects of sTWEAK in obesity and adipose tissue biology are conflicting. Nevertheless, exogenous sTWEAK treatment altered adipokine production and enhanced pro-inflammatory cytokines but did not disturb insulin signaling in cultured adipocytes21. Discordantly, it has been suggested that sTWEAK may be cardiometabolic protective.

Low sTWEAK concentrations were associated with more inadequate cardiometabolic risk in patients with type 2 diabetes and obesity, and this can be explained by the ability of sTWEAK to antagonize in vitro TNF-α activity22. TWEAK knock-out mice enhanced insulin signaling in muscle and liver and protected them from ectopic fat deposits and dyslipidemia. sTWEAK restricted mice's healthy adipose tissue expansion11. sTWEAK interfered with the differentiation of adipocytes at an early stage23. Nevertheless, sTWEAK did not affect the metabolic function of adipocytes including lipolysis, glucose uptake, and apoptosis20,21. sTWEAK/Fn14 signaling was proposed as a feature of adipocyte-macrophage crosstalk at sites of adipocyte death and subsequent maladaptive ectopic adipose tissue remodeling22,23. Adipocyte-derived sTWEAK has an autocrine effect on the regulation of adipose expansion and ectopic adipose tissue remodeling20–23.

However, clinical studies reported that decreased sTWEAK concentrations in patients with type 2 diabetes and sTWEAK concentrations were negatively associated with fasting glucose levels and visceral obesity24. In our study, there was no correlation between sTWEAK concentrations and glucose metabolism. Reduced sTWEAK levels were observed in patients with type 1 diabetes25, lower sTWEAK levels were associated with insulin resistance in gestational diabetes mellitus, and sTWEAK levels were negatively correlated with type 2 diabetes incidence and glucose metabolism-related parameters26. In our study, sTWEAK concentrations were not associated with cardiometabolic disturbance. Reduced sTWEAK concentrations were associated with hyperglycemia, hypertriglyceridemia, abdominal obesity, and metabolic syndrome7. Decreased sTWEAK levels have been negatively associated with glucose levels, HbA1c, HOMA-IR, central obesity, and a poor cardiovascular profile20–22. sTWEAK concentrations were negatively correlated with total cholesterol and triglycerides levels18. Our study showed that sTWEAK concentrations were not correlated with the lipid profile. Similarly, Yilmaz et al. reported that the atherogenic lipid profile was not associated with sTWEAK concentrations27. The sTWEAK release rate was low in atheroma plaques, suggesting that lipotoxicity can regulate sTWEAK concentrations20.

Current limitations and future directions

The most important limitation of our study was that it could have been evaluated with a larger number of patients. The number of patients per group was low, especially when we divided them into groups according to the severity of OSAS. It only represents a limited proportion of OSA subjects.

Conclusion

In this study, it emerged that there was a strong bond between OSAS severity and sTWEAK. As the severity of OSAS increased, the possibility of developing cardiovascular, cerebrovascular conditions related to OSAS increased. We mainly attribute the relationship between sTWEAK and OSAS to hypoxemia. We think that sTWEAK plays a crucial role in developing hypoxic adverse effects associated with OSAS and post-remodeling. This situation supports the concept that TWEAK levels can be considered a potential novel hypoxic damage biomarker with a putative protective effect of sTWEAK. Further longitudinal studies are warranted to confirm these results in different populations.

Abbreviations

AHI

Apnea/hypopnea index

BMI

Body mass index

HDL-C

High-density lipoprotein cholesterol

HOMA-IR

Homeostasis model of assessment-insulin resistance

LDL-C

Low-density lipoprotein cholesterol

OSAS

Obstructive sleep apnoea syndrome

WHR

Waist hip ratio

HSS

Habitual simple snoring

Author contributions

S.C. contributed to designing the study. I.G.C. contributed to data collection, processing, analysis. A.B. contributed to designing the study.

Data availability

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Lavie L. Obstructive sleep apnoea syndrome—An oxidative stress disorder. Sleep Med. Rev. 2003;7(1):35–51. doi: 10.1053/smrv.2002.0261. [DOI] [PubMed] [Google Scholar]
  • 2.Escoté X, Gómez-Zorita S, López-Yoldi M, et al. Role of omentin, vaspin, cardiotrophin-1, TWEAK and NOV/CCN3 in obesity and diabetes development. Int. J. Mol. Sci. 2017 doi: 10.3390/ijms18081770. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Burkly LC. Regulation of tissue responses: The TWEAK/Fn14 pathway and other TNF/TNFR superfamily members that activate non-canonical NFκB signaling. Front. Immunol. 2015 doi: 10.3389/fimmu.2015.00092. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Dindar Badem N, Cömertpay E, Coşkun F. How much apoptosis does carbon monoxide poisoning cause? Primary clinical soluble TWEAK protein level study. Hum. Exp. Toxicol. 2019;38(8):974–982. doi: 10.1177/0960327119845038. [DOI] [PubMed] [Google Scholar]
  • 5.Hu G, Zeng W, Xia Y. TWEAK/Fn14 signaling in tumors. Tumor Biol. 2017 doi: 10.1177/1010428317714624. [DOI] [PubMed] [Google Scholar]
  • 6.Maymó-Masip E, Fernández-Veledo S, España AG, et al. The rise of soluble TWEAK levels in severely obese subjects after bariatric surgery may affect adipocyte-cytokine production induced by TNFα. J. Clin. Endocrinol. Metab. 2013 doi: 10.1210/jc.2012-4177. [DOI] [PubMed] [Google Scholar]
  • 7.Díaz-López A, Bulló M, Chacón MR, et al. Reduced circulating sTWEAK levels are associated with metabolic syndrome in elderly individuals at high cardiovascular risk. Cardiovasc. Diabetol. 2014 doi: 10.1186/1475-2840-13-51. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Sato S, Ogura Y, Tajrishi MM, Kumar A. Elevated levels of TWEAK in skeletal muscle promote visceral obesity, insulin resistance, and metabolic dysfunction. FASEB J. 2015;29(3):988–1002. doi: 10.1096/fj.14-260703. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Mather KJ, Hunt AE, Steinberg HO, et al. Repeatability characteristics of simple indices of insulin resistance: Implications for research applications. J. Clin. Endocrinol. Metab. 2001;86(11):5457–5464. doi: 10.1210/jcem.86.11.7880. [DOI] [PubMed] [Google Scholar]
  • 10.Ryan S. Adipose tissue inflammation by intermittent hypoxia: Mechanistic link between obstructive sleep apnoea and metabolic dysfunction. J. Physiol. 2017;595(8):2423–2430. doi: 10.1113/JP273312. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Bennett G, Strissel KJ, Defuria J, et al. Deletion of TNF-like weak inducer of apoptosis (TWEAK) protects mice from adipose and systemic impacts of severe obesity. Obesity. 2014;22(6):1485–1494. doi: 10.1002/oby.20726. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Itoigawa Y, Harada N, Harada S, et al. TWEAK enhances TGF-β-induced epithelial–mesenchymal transition in human bronchial epithelial cells. Respir. Res. 2015;16(1):48. doi: 10.1186/s12931-015-0207-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Matsuno K, Harada N, Harada S, et al. Combination of TWEAK and TGF-β1 induces the production of TSLP, RANTES, and TARC in BEAS-2B human bronchial epithelial cells during epithelial–mesenchymal transition. Exp. Lung Res. 2018;44(7):332–343. doi: 10.1080/01902148.2018.1522558. [DOI] [PubMed] [Google Scholar]
  • 14.Zhu C, Zhang L, Liu Z, Li C, Bai Y. TWEAK/Fn14 interaction induces proliferation and migration in human airway smooth muscle cells via activating the NF-κB pathway. J. Cell Biochem. 2018;119(4):3528–3536. doi: 10.1002/jcb.26525. [DOI] [PubMed] [Google Scholar]
  • 15.Xu, H., Okamoto, A., Ichikawa, J., Ando, T. et al. TWEAK/Fn14 interaction stimulates human bronchial epithelial cells to produce IL-8 and GM-CSF. Elsevier. (Accessed 7 May 2020) https://www.sciencedirect.com/science/article/pii/S0006291X04007387. [DOI] [PubMed]
  • 16.Kim SY, Kim JD, Sol IS, et al. Sputum TWEAK expression correlates with severity and degree of control in non-eosinophilic childhood asthma. Pediatr. Allergy Immunol. 2018;29(1):42–49. doi: 10.1111/pai.12827. [DOI] [PubMed] [Google Scholar]
  • 17.Zhang YB, Zuo HY, Tian DH, Ouyang XH, Wang XA. Correlation between peripheral skeletal muscle functions and the stable phase of COPD in older patients. Eur. Rev. Med. Pharmacol. Sci. 2018;22(16):5317–5326. doi: 10.26355/eurrev_201808_15732. [DOI] [PubMed] [Google Scholar]
  • 18.Chacón MR, Richart C, Gómez JM, et al. Expression of TWEAK and its receptor Fn14 in human subcutaneous adipose tissue. Relationship with other inflammatory cytokines in obesity. Cytokine. 2006;33(3):129–137. doi: 10.1016/j.cyto.2005.12.005. [DOI] [PubMed] [Google Scholar]
  • 19.Vendrell J, Maymó-Masip E, Tinahones F, et al. Tumor necrosis-like weak inducer of apoptosis as a pro-inflammatory cytokine in human adipocyte cells: Up-regulation in severe obesity is mediated by inflammation but not hypoxia. J. Clin. Endocrinol. Metab. 2010;95(6):2983–2992. doi: 10.1210/jc.2009-2481. [DOI] [PubMed] [Google Scholar]
  • 20.Vendrell J, Chacón MR. TWEAK: A new player in obesity and diabetes. Front. Immunol. 2013 doi: 10.3389/fimmu.2013.00488. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Tiller G, Fischer-Posovszky P, Laumen H, et al. Effects of TWEAK (TNF superfamily member 12) on differentiation, metabolism, and secretory function of human primary preadipocytes and adipocytes. Endocrinology. 2009;150(12):5373–5383. doi: 10.1210/en.2009-0488. [DOI] [PubMed] [Google Scholar]
  • 22.Kralisch S, Ziegelmeier M, Bachmann A, et al. Serum levels of the atherosclerosis biomarker sTWEAK are decreased in type 2 diabetes and end-stage renal disease. Atherosclerosis. 2008;199(2):440–444. doi: 10.1016/j.atherosclerosis.2007.10.022. [DOI] [PubMed] [Google Scholar]
  • 23.Xu WD, Zhao Y, Liu Y. Role of the TWEAK/Fn14 pathway in autoimmune diseases. Immunol. Res. 2016;64(1):44–50. doi: 10.1007/s12026-015-8761. [DOI] [PubMed] [Google Scholar]
  • 24.Díaz-López A, Chacón MR, Bulló M, et al. Serum sTWEAK concentrations and risk of developing type 2 diabetes in a high cardiovascular risk population: A nested case-control study. J. Clin. Endocrinol. Metab. 2013;98(8):3482–3490. doi: 10.1210/jc.2013-1848. [DOI] [PubMed] [Google Scholar]
  • 25.Llauradó G, González-Clemente JM, Maymó-Masip E, Subías D, Vendrell J, Chacón MR. Serum levels of TWEAK and scavenger receptor CD163 in type 1 diabetes mellitus: Relationship with cardiovascular risk factors. A case-control study. PLoS One. 2012 doi: 10.1371/journal.pone.0043919. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Simón-Muela I, Llauradó G, Chacón MR, et al. Reduced circulating levels of TWEAK are associated with gestational diabetes mellitus. Eur. J. Clin. Investig. 2015;45(1):27–35. doi: 10.1111/eci.12375. [DOI] [PubMed] [Google Scholar]
  • 27.Yilmaz MI, Carrero JJ, Ortiz A, et al. Soluble TWEAK plasma levels as a novel biomarker of endothelial function in patients with chronic kidney disease. Clin. J. Am. Soc. Nephrol. 2009;4(11):1716–1723. doi: 10.2215/CJN.02760409. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

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