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Research Article| Volume 62, 100043, 2021

High density lipoprotein-associated miRNA is increased following Roux-en-Y gastric bypass surgery for severe obesity

  • Author Footnotes
    ‡ These authors contributed equally to this work.
    Jan Hoong Ho
    Footnotes
    ‡ These authors contributed equally to this work.
    Affiliations
    Lipid Research Group, Division of Cardiovascular Sciences, University of Manchester, Manchester, United Kingdom

    Cardiovascular Trials Unit, Manchester University NHS Foundation Trust, Manchester, United Kingdom
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  • Author Footnotes
    ‡ These authors contributed equally to this work.
    Kwok Leung Ong
    Footnotes
    ‡ These authors contributed equally to this work.
    Affiliations
    Lipid Research Group, School of Medical Sciences, University of New South Wales Sydney, Sydney, Australia
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  • Luisa F. Cuesta Torres
    Affiliations
    Lipid Research Group, School of Medical Sciences, University of New South Wales Sydney, Sydney, Australia
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  • Yifen Liu
    Affiliations
    Lipid Research Group, Division of Cardiovascular Sciences, University of Manchester, Manchester, United Kingdom
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  • Safwaan Adam
    Affiliations
    Lipid Research Group, Division of Cardiovascular Sciences, University of Manchester, Manchester, United Kingdom

    Cardiovascular Trials Unit, Manchester University NHS Foundation Trust, Manchester, United Kingdom
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  • Zohaib Iqbal
    Affiliations
    Lipid Research Group, Division of Cardiovascular Sciences, University of Manchester, Manchester, United Kingdom

    Cardiovascular Trials Unit, Manchester University NHS Foundation Trust, Manchester, United Kingdom
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  • Shaishav Dhage
    Affiliations
    Lipid Research Group, Division of Cardiovascular Sciences, University of Manchester, Manchester, United Kingdom

    Cardiovascular Trials Unit, Manchester University NHS Foundation Trust, Manchester, United Kingdom
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  • Basil J. Ammori
    Affiliations
    Department of Surgery, Salford Royal NHS Foundation Trust, Salford, United Kingdom
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  • Akheel A. Syed
    Affiliations
    Department of Endocrinology, Salford Royal NHS Foundation Trust, Salford, United Kingdom
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  • Kerry-Anne Rye
    Affiliations
    Lipid Research Group, School of Medical Sciences, University of New South Wales Sydney, Sydney, Australia
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  • Author Footnotes
    ‡ These authors contributed equally to this work.
    Fatiha Tabet
    Footnotes
    ‡ These authors contributed equally to this work.
    Affiliations
    Lipid Research Group, School of Medical Sciences, University of New South Wales Sydney, Sydney, Australia
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  • Author Footnotes
    ‡ These authors contributed equally to this work.
    Handrean Soran
    Correspondence
    For correspondence: Handrean Soran
    Footnotes
    ‡ These authors contributed equally to this work.
    Affiliations
    Lipid Research Group, Division of Cardiovascular Sciences, University of Manchester, Manchester, United Kingdom

    Cardiovascular Trials Unit, Manchester University NHS Foundation Trust, Manchester, United Kingdom
    Search for articles by this author
  • Author Footnotes
    ‡ These authors contributed equally to this work.
Open AccessPublished:February 05, 2021DOI:https://doi.org/10.1194/jlr.RA120000963

      Abstract

      Roux-en-Y gastric bypass (RYGB) is one of the most commonly performed weight-loss procedures, but how severe obesity and RYGB affect circulating HDL-associated microRNAs (miRNAs) remains unclear. Here, we aim to investigate how HDL-associated miRNAs are regulated in severe obesity and how weight loss after RYGB surgery affects HDL-miRNAs. Plasma HDLs were isolated from patients with severe obesity (n = 53) before and 6 and 12 months after RYGB by immunoprecipitation using goat anti-human apoA-I microbeads. HDLs were also isolated from 18 healthy participants. miRNAs were extracted from isolated HDL and levels of miR-24, miR-126, miR-222, and miR-223 were determined by TaqMan miRNA assays. We found that HDL-associated miR-126, miR-222, and miR-223 levels, but not miR-24 levels, were significantly higher in patients with severe obesity when compared with healthy controls. There were significant increases in HDL-associated miR-24, miR-222, and miR-223 at 12 months after RYGB. Additionally, cholesterol efflux capacity and paraoxonase activity were increased and intercellular adhesion molecule-1 (ICAM-1) levels decreased. The increases in HDL-associated miR-24 and miR-223 were positively correlated with an increase in cholesterol efflux capacity (r = 0.326, P = 0.027 and r = 0.349, P = 0.017, respectively). An inverse correlation was observed between HDL-associated miR-223 and ICAM-1 at baseline. Together, these findings show that HDL-associated miRNAs are differentially regulated in healthy participants versus patients with severe obesity and are altered after RYGB. These findings provide insights into how miRNAs are regulated in obesity before and after weight reduction and may lead to the development of novel treatment strategies for obesity and related metabolic disorders.

      Supplementary key words

      Abbreviations:

      DBP (diastolic blood pressure), HbA1c (glycosylated hemoglobin), HOMA-B (homeostatic model assessment for beta cell function), HOMA-IR (homeostatic model assessment of insulin resistance), ICAM-1 (intercellular adhesion molecule-1), miRNA (microRNA), PON1 (paraoxonase-1), RYGB (Roux-en-Y gastric bypass), SBP (systolic blood pressure)
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      Elevated and correlated expressions of miR-24, miR-30d, miR-146a, and SFRP-4 in human abdominal adipose tissue play a role in adiposity and insulin resistance.
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      ) and decreased miR-223 (
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      ) in the circulation, have all been described previously in obesity. miRNAs act at the intracellular level and are transported between cells in association with lipid-based vesicles, lipoproteins, and lipid-free protein complexes (
      • Vickers K.C.
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      Lipid-based carriers of microRNAs and intercellular communication.
      ). We and others have recently demonstrated the involvement of HDLs in the transport of functional miRNAs within an intercellular communication network, with delivery of a specific miRNA (miR-223) to endothelial cells, contributing to the anti-inflammatory capacity of HDLs (
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      • Dawber T.R.
      High density lipoprotein as a protective factor against coronary heart disease. The Framingham Study.
      ), and a clear link exists between excess weight and adiposity in obesity and low HDL-C levels (
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      ). Improvements in HDL structure and function have been reported following metabolic surgery (
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      Effects of bariatric surgery on HDL structure and functionality: results from a prospective trial.
      ), although evidence for its effect on cholesterol efflux capacity has been inconsistent so far (
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      Changes in high-density lipoprotein cholesterol efflux capacity after bariatric surgery are procedure dependent.
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      Bariatric surgery improves lipoprotein profile in morbidly obese patients by reducing LDL cholesterol, apoB, and SAA/PON1 ratio, increasing HDL cholesterol, but has no effect on cholesterol efflux capacity.
      ). Bariatric surgery has been shown to impact on the circulating miRNA signature of obesity (
      • Ortega F.J.
      • Mercader J.M.
      • Catalan V.
      • Moreno-Navarrete J.M.
      • Pueyo N.
      • Sabater M.
      • Gomez-Ambrosi J.
      • Anglada R.
      • Fernandez-Formoso J.A.
      • Ricart W.
      • et al.
      Targeting the circulating microRNA signature of obesity.
      ), and significant changes have been described even prior to significant weight loss (
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      ). The effect of bariatric surgery on HDL-associated miRNAs has not been investigated and may contribute mechanistically to improved HDL function following bariatric surgery. In this study, we assessed the changes in HDL-associated miR-24, miR-126, miR-222, and miR-223 levels following bariatric surgery.

      Materials and methods

      Participants

      We recruited 53 patients with severe obesity (BMI 45.6–57.5 kg/m2 and weight circumference 142 ± 17 cm) who underwent Roux-en-Y gastric bypass (RYGB) surgery at the Salford Royal NHS Foundation Trust tertiary weight management center (Salford, UK). Patients with acute coronary syndrome within the past 6 months, history of malignancy, anemia, active infections, HIV, and autoimmune diseases were excluded. Assessments were undertaken at baseline, 6 months, and 12 months after surgery. Eighteen healthy participants without a history of type 2 diabetes or statin therapy were recruited for comparison. This study was approved by the Greater Manchester Central Research and Ethics Committee. Written informed consent was obtained from all patients prior to participation and study assessments were conducted in accordance with the 1964 Helsinki declaration.

      Laboratory analyses

      Venous blood samples were obtained from patients between 0900 and 1100 following an overnight fast of at least 12 h. Glycosylated hemoglobin (HbA1c) was measured using standard laboratory methods in the Department of Biochemistry, Manchester University NHS Foundation Trust (Manchester, UK) on the day of collection. Isolated serum and plasma samples were stored at −80°C until use. Other laboratory measurements were performed at the end of the study.
      Total cholesterol and triglyceride were measured using CHOP-PAP and GPO-PAP methods, respectively. ApoA-I and apoB were measured using immunoturbidimetry. HDL-C was assayed using a second-generation homogenous direct method (
      • Charlton-Menys V.
      • Liu Y.
      • Moorhouse A.
      • Durrington P.N.
      The robustness of the Roche 2nd generation homogenous HDL cholesterol (PEGME) method: assessment of the effect of serum sample storage for up to 8 years at -80 degrees C.
      ). Serum paraoxonase (PON1) activity was measured using paraoxon [O,O-diethyl O-(4-nitrophenyl) phosphate] as a substrate (Sigma-Aldrich, St. Louis, MO) (
      • Charlton-Menys V.
      • Liu Y.
      • Durrington P.N.
      Semiautomated method for determination of serum paraoxonase activity using paraoxon as substrate.
      ). All these tests were performed on a Randox Daytona+ analyzer (Randox Laboratories, Crumlin, UK). The laboratory participated in the RIQAS (Randox International Quality Assessment Scheme; Randox Laboratories, Dublin, Ireland). LDL-C was estimated using the Friedewald formula. No patients had triglyceride levels above 4.5 mmol/l.
      Adiponectin, leptin, resistin, and intercellular adhesion molecule-1 (ICAM-1) were measured using DuoSet ELISA development kits (R&D Systems, Abingdon, UK), and insulin and glucose were measured using Mercodia ELISA kits (Diagenics Ltd., Milton Keynes, UK). The homeostatic model assessment of insulin resistance (HOMA-IR) was used for the assessment of insulin resistance (
      • Matthews D.R.
      • Hosker J.P.
      • Rudenski A.S.
      • Naylor B.A.
      • Treacher D.F.
      • Turner R.C.
      Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man.
      ).
      Cholesterol efflux capacity of HDL was determined using a previously validated method (
      • de la Llera-Moya M.
      • Drazul-Schrader D.
      • Asztalos B.F.
      • Cuchel M.
      • Rader D.J.
      • Rothblat G.H.
      The ability to promote efflux via ABCA1 determines the capacity of serum specimens with similar high-density lipoprotein cholesterol to remove cholesterol from macrophages.
      ,
      • Khera A.V.
      • Cuchel M.
      • de la Llera-Moya M.
      • Rodrigues A.
      • Burke M.F.
      • Jafri K.
      • French B.C.
      • Phillips J.A.
      • Mucksavage M.L.
      • Wilensky R.L.
      • et al.
      Cholesterol efflux capacity, high-density lipoprotein function, and atherosclerosis.
      ,
      • Hafiane A.
      • Genest J.
      HDL-mediated cellular cholesterol efflux assay method.
      ). The intra- and inter-assay coefficients of variation were 3.9% and 7.3%, respectively. Briefly, J774A.1 cells were incubated with 0.2 μCi of radiolabeled 3H-cholesterol in RPMI 1640 medium with 0.2% BSA at 37°C in a 5% carbon dioxide humidified atmosphere. ABCA1 expression was upregulated using 0.3 mM C-AMP [8-(4-chlorophenylthio) adenosine 3′,5′-cyclic monophosphate sodium salt] for 4 h and the cells incubated with 2.8% (v/v) apoB-depleted serum using polyethylene glycol (PEG MW8000) for 4 h. The cell medium was then collected, and the cells were dissolved in 0.5 ml 0.2 N NaOH to determine radioactivity. Cholesterol efflux was expressed as the percentage of radioactivity in the medium from the radioactivity in the cells and medium collectively:
      Cholesterol efflux(%)=Radioactivity in mediumRadioactivity in cell+radioactivity in medium×100


      HDL isolation

      Isolation of HDL was performed by immunoprecipitation of serum (600 μl) as previously described (
      • Tabet F.
      • Cuesta Torres L.F.
      • Ong K.L.
      • Shrestha S.
      • Choteau S.A.
      • Barter P.J.
      • Clifton P.
      • Rye K.A.
      High-density lipoprotein-associated miR-223 is altered after diet-induced weight loss in overweight and obese males.
      ). Serum was applied to a column containing goat anti-human apoA-I antibody covalently coupled to cyanogen bromide (CNBr)-activated Sepharose 4B (Academy Bio-Medical Co., Inc., Houston, TX). The column was then washed 10 times with TBS to remove proteins nonspecifically bound to the beads. HDL was then eluted using stripping buffer (0.1 M acetic acid) and immediately neutralized with 1 M Tris, pH 11 (final concentration, 0.11 M). An Amicon Ultra-15 centrifuge filter unit and an Amicon Ultra-0.5 ultracel-10 membrane were used for further concentration of the samples.

      HDL-associated miRNA

      HDL-miRNA levels were assessed using real-time PCR TaqMan miRNA assays as previously described (
      • Tabet F.
      • Cuesta Torres L.F.
      • Ong K.L.
      • Shrestha S.
      • Choteau S.A.
      • Barter P.J.
      • Clifton P.
      • Rye K.A.
      High-density lipoprotein-associated miR-223 is altered after diet-induced weight loss in overweight and obese males.
      ). Total RNA was isolated from HDL using QIAzol miRNAeasy kits (Qiagen, Hilden, Germany) and total RNA was quantified by spectrophotometry. Total RNA was purified and reversed transcribed using the TaqMan miRNA reverse transcription kit (Applied Biosystems) and 7.5 μl of the reverse transcription product was used for detecting specific miRNAs using TaqMan miRNA assay kits (Applied Biosystems). Values were normalized to both Caenorhabditis elegans (Cel) miR-39 (which was spiked into the samples after the QIAzol step) and HDL total protein concentration determined by BCA assay (Thermo Scientific). Results were expressed as 2−[Ct(miRNA)−Ct(Cel-miR-39)].

      Statistical analysis

      Data analysis was performed using SPSS 24 (IBM, Armonk, NY). Statistical significance was set at two-tailed P < 0.05. Data were examined for normality based on skewness and kurtosis, and Shapiro-Wilk’s W test before analysis. Non-normally distributed variables were normalized prior to analysis using nature logarithmic (ln) transformation. To evaluate the effect of time on clinical characteristics and HDL-associated miRNA levels, one-way univariate repeated measures ANOVA was performed with time (baseline before surgery, and 6 and 12 months after surgery) as the within subject factor. Participants with missing data were excluded from the analysis. As there were a substantial number of participants with missing clinical characteristics at 6 months after surgery, clinical characteristics at baseline were compared with those at 6 and 12 months after surgery using individual paired t-test. Multiple testing correction was performed by Bonferroni correction for the two time-points, in which the threshold of P value for significance was <0.025. As the miRNA levels were highly correlated with each other, multiple testing corrections for the four miRNAs was not performed. Correlations between different HDL-associated miRNAs as well as between changes in individual miRNAs and changes in other variables were performed using bivariate Spearman correlation coefficients.

      Results

      Study sample and HDL-associated miRNA levels at baseline before surgery

      A total of 53 patients with severe obesity and a comparison group of 18 healthy participants were included in this study. The clinical characteristics for both groups are summarized in Table 1. Twenty-nine patients had type 2 diabetes and 26 were statin-treated, which remained unchanged following surgery. Blood samples were available for HDL-associated miRNA measurements at baseline and 12 months after surgery for all patients, and at 6 months after surgery for 42 patients. There was no significant difference in age, sex, and BMI between those with and without samples at 6 months after surgery (P = 0.104, 0.305, and 0.949, respectively). As shown in Fig. 1, HDL-associated miR-126, miR-222, and miR-223 levels, but not HDL-associated miR-24 levels, were significantly elevated in patients with severe obesity compared with healthy participants. The elevation of HDL-associated miR-126, miR-222, and miR-223 levels remained significant after adjusting for age and sex in multivariable linear regression analysis (P = 0.006, 0.034, and 0.037, respectively).
      Table 1Baseline characteristics of patients who underwent surgery and healthy participants
      CharacteristicsRYGB (n = 53)Healthy (n = 18)
      Age (years)48.9 ± 8.743.3 ± 11.9
      Female (n, %)40, 7514, 78
      BMI (kg/m2)49.4 (45.8–57.4)22.0 (20.5–23.6)
      Waist circumference (cm)137.3 (128.5–150.5)81.0 (71.1–94.0)
      SBP (mm Hg)131 (120–146)127 (115–140)
      DBP (mm Hg)75.4 ± 13.873.0 ± 12.5
      Total cholesterol (mmol/l)4.26 (3.79–5.28)5.26 (4.77–5.87)
      Triglycerides (mmol/l)1.46 (1.12–1.93)0.81 (0.70–1.41)
      HDL-C (mmol/l)1.03 (0.87–1.32)1.66 (1.40–1.88)
      LDL-C (mmol/l)2.44 (1.96–3.21)3.29 (2.61–3.60)
      ApoA-I (g/l)1.26 (1.15–1.40)1.55 (1.39–1.84)
      ApoB (g/l)0.80 (0.68–1.02)0.85 (0.77–0.95)
      Data are presented as mean ± SD and percent (n) or median (interquartile range). SBP, systolic blood pressure; DBP, diastolic blood pressure.
      Figure thumbnail gr1
      Fig. 1Distribution of different HDL-associated miRNA levels in healthy and obese subjects. Data shown are geometric mean and SD with log scale on the y axis. Data were compared using independent t-test after log transformation.
      HDL-associated miR-24, miR-126, and miR-223 levels correlated positively with total cholesterol, HDL-C, LDL-C, and apoB levels (r = 0.318 to 0.549, all P < 0.05, Table 2). Positive correlations were also observed with cholesterol efflux capacity (miR-24, miR-126, and miR-223; r = 0.307–0.449; all P < 0.05) and PON1 activity (miR-24 and miR-126; r = 0.340 and 0.427, respectively, both P < 0.05, Table 2). Both HDL-associated miR-126 and miR-223 correlated inversely with ICAM-1 (r = −0.382 and −0.281, respectively, both P < 0.05, Table 2). HDL-associated miR-126, miR-222, and miR-223 levels inversely correlated with diastolic blood pressure (r = −0.272 to −0.467, all P < 0.05, Table 2) and HDL-associated miR-223 inversely correlated with resistin (r = −0.275, P = 0.048, Table 2).
      Table 2Spearman correlation between different HDL-associated miRNAs and clinical characteristics at baseline before surgery
      CharacteristicsmiR-24miR-126miR-222miR-223
      Age (years)−0.012−0.127−0.2320.005
      Height (m)−0.019−0.258−0.074−0.042
      BMI (kg/m2)−0.164−0.122−0.038−0.241
      Waist circumference (cm)−0.259−0.1080.030−0.256
      SBP (mm Hg)−0.115−0.118−0.124−0.099
      DBP (mm Hg)−0.222-0.272
      P < 0.05.
      -0.467
      P < 0.05.
      -0.320
      P < 0.05.
      Total cholesterol (mmol/l)0.426
      P < 0.01.
      0.549
      P < 0.001.
      0.2200.461
      P < 0.001.
      Triglycerides (mmol/l)0.1560.0710.1570.060
      HDL-C (mmol/l)0.373
      P < 0.01.
      0.459
      P < 0.001.
      −0.2520.495
      P < 0.001.
      LDL-C (mmol/l)0.318
      P < 0.05.
      0.462
      P < 0.001.
      0.2880.350
      P < 0.05.
      ApoA-I (g/l)0.1270.142−0.2180.235
      ApoB (g/l)0.372
      P < 0.01.
      0.498
      P < 0.001.
      0.0770.397
      P < 0.01.
      Cholesterol efflux capacity (%)0.352
      P < 0.05.
      0.449
      P < 0.01.
      0.2020.307
      P < 0.01.
      PON1 activity (nmol/ml/min)0.340
      P < 0.05.
      0.427
      P < 0.01.
      −0.0690.242
      HbA1c (mmol/l)−0.021−0.079−0.238−0.085
      Fasting glucose (mmol/l)0.0250.056−0.2130.113
      Fasting insulin (mU/l)0.0870.142−0.2010.070
      HOMA-IR, ratio0.0610.121−0.3360.094
      HOMA-B, %0.0910.072−0.043−0.023
      ICAM-1 (ng/ml)−0.111-0.382
      P < 0.05.
      −0.127-0.281
      P < 0.05.
      Adiponectin (mg/l)0.2000.0950.0340.155
      Leptin (ng/ml)0.1100.055−0.0210.002
      Resistin (ng/ml)−0.041−0.0900.388-0.275
      P < 0.05.
      SBP, systolic blood pressure; DBP, diastolic blood pressure.
      a P < 0.05.
      b P < 0.01.
      c P < 0.001.

      Change in clinical characteristics after surgery

      Table 3 shows the clinical characteristics of patients with severe obesity at baseline and 6 and 12 months after RYGB. As expected, median BMI decreased significantly from 49.4 kg/m2 at baseline to 37.3 kg/m2 at 6 months and 35.0 kg/m2 at 12 months after surgery, which was accompanied by similar reductions in waist circumference. There were significant improvements in cardiovascular risk profile, which included significant decreases in blood pressure, triglycerides, apoB, HbA1c, fasting glucose, fasting insulin, and HOMA-IR, and an increase in HDL-C at 12 months after surgery. There was also a significant increase in cholesterol efflux capacity, PON1 activity, and adiponectin levels, and significant decreases in ICAM-1, leptin, and resistin levels 12 months after surgery. Some of the changes in clinical characteristics (systolic blood pressure, triglycerides, HbA1c, fasting glucose, fasting insulin, and HOMA-IR) and biomarker levels (cholesterol efflux capacity, ICAM-1, adiponectin, and leptin) were statistically significant at 6 months after surgery.
      Table 3Clinical characteristics before surgery and 6 and 12 months after surgery
      CharacteristicsBefore Surgery (n = 53)6 Months After Surgery (n = 42)12 Months After Surgery (n = 53)Overall P
      Ps for change over time from baseline to 12 months after surgery (repeated measures ANOVA).
      nEstimatenEstimateP
      Data were compared with those at baseline using paired t-test.
      nEstimateP
      Data were compared with those at baseline using paired t-test.
      BMI (kg/m2)
      Ps were estimated using ln-transformed data.
      5349.4 (45.6–57.5)4337.3 (33.4–44.0)<0.0015335.0 (30.3–38.5)<0.001<0.001
      Waist circumference (cm)53142 ± 1735118 ± 16<0.00153106 ± 14<0.001<0.001
      SBP (mm Hg)
      Ps were estimated using ln-transformed data.
      53131 (120–146)38126 (109–137)0.00652119 (110–132)<0.001<0.001
      DBP (mm Hg)5375.4 ± 13.83871.2 ± 14.80.1325269.6 ± 10.50.0020.041
      Total cholesterol (mmol/l)
      Ps were estimated using ln-transformed data.
      534.26 (3.79–5.28)424.41 (3.55–5.49)0.520534.43 (3.73–5.14)0.9430.720
      Triglycerides (mmol/l)
      Ps were estimated using ln-transformed data.
      531.46 (1.12–1.93)411.29 (1.01–1.60)0.025531.08 (0.84–1.41)0.0050.014
      HDL-C/l)
      Ps were estimated using ln-transformed data.
      531.03 (0.87–1.32)421.17 (0.96–1.44)0.070531.29 (1.04–1.43)<0.001<0.001
      LDL-Cl/l)
      Ps were estimated using ln-transformed data.
      522.44 (1.96–3.21)412.56 (1.82–3.57)0.817532.43 (1.97–3.20)0.5470.468
      ApoA-I (g/l)
      Ps were estimated using ln-transformed data.
      521.26 (1.15–1.40)431.20 (1.10–1.42)0.093521.23 (1.11–1.38)0.3910.243
      ApoB (g/l)
      Ps were estimated using ln-transformed data.
      530.80 (0.68–1.02)430.77 (0.63–0.99)0.139530.73 (0.61–0.86)<0.0010.002
      Cholesterol efflux capacity (%)5312.94 ± 3.794314.28 ± 3.950.0255316.03 ± 4.38<0.001<0.001
      PON1 activity (nmol/ml/min)5367.0 (36.7–172.6)4369.7 (43.0–162.8)0.6835383.0 (46.8–162.0)0.0090.007
      HbA1c (mmol/l)
      Ps were estimated using ln-transformed data.
      5145.4 (41.0–53.0)4438.4 (33.5–41.0)<0.0015235.0 (32.3–37.5)<0.001<0.001
      Fasting glucose (mmol/l)
      Ps were estimated using ln-transformed data.
      525.99 (5.13–6.78)435.54 (4.68–6.19)0.006535.00 (4.66–5.82)0.0020.001
      Fasting insulin (mU/l)
      Ps were estimated using ln-transformed data.
      5218.44 (13.41–32.58)429.46 (6.54–17.53)<0.001536.91 (4.75–12.29)<0.001<0.001
      HOMA-IR, ratio
      Ps were estimated using ln-transformed data.
      525.71 (3.35–8.61)422.66 (1.65–4.30)<0.001531.54 (1.06–2.94)<0.001<0.001
      HOMA-B, %
      Ps were estimated using ln-transformed data.
      51153 (64–258)42107 (72–168)0.04753103 (69–159)0.0320.006
      ICAM-1 (ng/ml)53199.0 (154.7–234.2)42163.7 (132.9–190.3)0.00953136.8 (124.5–157.1)<0.001<0.001
      Adiponectin (mg/l)523.28 ± 1.46424.39 ± 1.83<0.001535.97 ± 2.67<0.001<0.001
      Leptin (ng/ml)
      Ps were estimated using ln-transformed data.
      5270.3 (48.8–98.4)4225.8 (13.9–44.5)<0.0015317.0 (8.5–36.0)<0.001<0.001
      Resistin (ng/ml)5215.1 (10.8–17.6)4212.6 (9.3–16.2)0.099539.4 (6.3–13.9)<0.001<0.001
      Data are presented as mean ±± SD and percent (n) or median (interquartile range). SBP, systolic blood pressure; DBP, diastolic blood pressure.
      a Data were compared with those at baseline using paired t-test.
      b Ps for change over time from baseline to 12 months after surgery (repeated measures ANOVA).
      c Ps were estimated using ln-transformed data.

      Change in HDL-associated miRNA levels after surgery

      Table 4 shows the median and interquartile ranges of different HDL-associated miRNAs at baseline and 6 and 12 months after surgery, while Fig. 2 shows the corresponding geometric mean and standard deviation of these HDL-associated miRNAs.
      Table 4Comparison of HDL-associated miR-223, miR-24, miR-126, and miR-222 levels at baseline before surgery and 6 and 12 months after surgery
      HDL-Associated miRNAsBefore Surgery (n = 53)6 Months After Surgery (n = 42)12 Months After Surgery (n = 53)Overall P
      Data were compared with those at baseline using paired t-test.
      nRQV/Protein (×10−5)nRQV/Protein (×10−5)P
      Ps for change over time from baseline to 12 months after surgery (repeated measures ANOVA).
      nRQV/Protein (×10−5)P
      Ps for change over time from baseline to 12 months after surgery (repeated measures ANOVA).
      miR-24532.5 (1.0–71.8)4211.1 (2.2–106.1)0.033534.3 (2.0–73.3)0.0040.023
      miR-126536.5 (1.3–35.4)428.2 (1.2–33.7)0.943536.5 (1.9–3.9)0.0620.112
      miR-222260.7 (0.4–1.2)170.8 (0.5–1.1)0.016261.3 (0.9–2.0)0.0030.002
      miR-2235318.4 (1.9–131.1)4250.0 (3.5–232.6)0.0715324.4 (3.6–325.8)0.0020.017
      Data are presented median (interquartile range) in the unit of RQV/protein and were ln-transformed before analysis.
      a Ps for change over time from baseline to 12 months after surgery (repeated measures ANOVA).
      b Data were compared with those at baseline using paired t-test.
      Figure thumbnail gr2
      Fig. 2Distribution of different HDL-associated miRNA levels in obese subjects at baseline before surgery and 6 and 12 months after surgery. Data shown are geometric mean and SD with log scale on the y axis. Data were compared using one-way univariate repeated measures ANOVA and participants with missing data at any time-points were excluded from the analysis.
      There were significant increases in HDL-associated miR-24, miR-222, and miR-223 levels, but not the miR-126 level, at 12 months after surgery, in which the increase in HDL-associated miR-222 levels remained statistically significant at 6 months after correcting for multiple testing of two time-points (Table 4, Fig. 2). Although HDL-associated miR-24 showed a significant increase at 6 months, the increase was not statistically significant after correcting for multiple testing. For all these HDL-associated miRNAs, the change over time did not differ between groups divided based on gender, presence of type 2 diabetes, or statin therapy (all P for time interaction >0.05).
      All HDL-associated miRNAs showed strong positive correlation with each other at baseline (r = 0.461–0.878, all P < 0.05). Similar results were found at 6 and 12 months after surgery, although the correlation of HDL-associated miR-222 with miR-126 and miR-223 was attenuated to nonsignificance at 12 months after surgery (Table 5).
      Table 5Cross-sectional bivariate Spearman correlation among different HDL-associated miRNAs at baseline and 6 and 12 months after surgery
      HDL-Associated miRNAmiR-24miR-126miR-222miR-223
      Before surgery
       miR-24
       miR-1260.824
      P < 0.001.
       miR-2220.610
      P < 0.001.
      0.837
      P < 0.001.
       miR-2230.762
      P < 0.001.
      0.878
      P < 0.001.
      0.461
      P < 0.05.
      6 months
       miR-24
       miR-1260.875
      P < 0.001.
       miR-2220.709
      P < 0.01.
      0.387
       miR-2230.824
      P < 0.001.
      0.859
      P < 0.001.
      0.700
      P < 0.01.
      12 months
       miR-24
       miR-1260.800
      P < 0.001.
       miR-2220.646
      P < 0.001.
      0.354
       miR-2230.810
      P < 0.001.
      0.817
      P < 0.001.
      0.363
      a P < 0.001.
      b P < 0.05.
      c P < 0.01.
      Among the HDL-associated miRNA levels that showed significant increase at 12 months after surgery, increase in HDL-associated miR-24 levels correlated strongly and positively with increase in HDL-associated miR-222 and miR-223 levels (r = 0.732 and 0.577, respectively, both P < 0.05). There was, however, no significant correlation between the changes in HDL-associated miR-222 and miR-223 levels (Table 6).
      Table 6Bivariate Spearman correlation among changes in HDL-associated miR-24, miR-222 and miR-223 at 12 months after surgery
      HDL-Associated miRNAmiR-24miR-222miR-223
      6 months
       miR-24
       miR-2220.732
      P < 0.001.
       miR-2230.577
      P < 0.001.
      0.354
      12 months
       miR-24
       miR-2220.744
      P < 0.001.
       miR-2230.757
      P < 0.001.
      0.342
      a P < 0.001.

      Correlation of changes in HDL-associated miRNA levels with changes in clinical characteristics

      Although none of the HDL-associated miRNA levels correlated with BMI at baseline, changes in HDL-associated miR-24 levels at 12 months after surgery correlated positively with changes in BMI (r = 0.309, P = 0.024, Table 7). In fact, a significantly larger reduction in weight was observed in patients with sub-median change in HDL-associated miR-24 levels at 12 months after surgery (Table 8). A larger weight reduction was also observed among patients with decreased miR-24 (n = 17) compared with patients with increased miR-24 (n = 36) at 12 months after RYGB (−17.9 ± 5.7 kg/m2 vs. −15.9 ± 5.8 kg/m2, P = 0.248) although statistical significance was not achieved. Weight reduction did not differ between groups divided using median baseline HDL-associated miRNA levels (Table 8).
      Table 7Spearman correlation between absolute changes in HDL-associated miRNAs and absolute changes in clinical characteristics at 12 months after surgery
      CharacteristicsΔmiR-24ΔmiR-222ΔmiR-223
      ΔBMI (kg/m2)0.309
      P < 0.05.
      0.2380.259
      ΔWaist circumference (cm)0.1750.1460.206
      ΔSBP (mm Hg)0.285
      P < 0.05.
      0.2320.089
      ΔDBP (mm Hg)0.223−0.0300.153
      ΔTotal cholesterol (mmol/l)0.0340.142−0.126
      ΔTriglycerides (mmol/l)0.331
      P < 0.05.
      −0.0690.112
      ΔHDL-C (mmol/l)−0.230−0.025−0.117
      ΔLDL-C (mmol/l)−0.0230.244−0.115
      ΔApoA-I (g/l)0.0030.0770.060
      ΔApoB (g/l)0.085−0.111−0.060
      ΔCholesterol efflux capacity (%)0.326
      P < 0.05.
      0.4530.349
      P < 0.05.
      ΔPON1 activity (nmol/ml/min)0.2480.3330.242
      ΔHbA1c (mmol/l)0.230−0.1230.187
      ΔFasting glucose (mmol/l)0.023−0.2150.048
      ΔFasting insulin (mU/l)−0.0890.022−0.057
      ΔHOMA-IR, ratio−0.060−0.025−0.044
      ΔHOMA-B, %−0.1790.433
      P < 0.05.
      −0.185
      ΔICAM-1 (ng/ml)−0.1470.109−0.265
      ΔAdiponectin (mg/l)-0.336
      P < 0.05.
      −0.245−0.246
      ΔLeptin (ng/ml)0.0330.099−0.089
      ΔResistin (ng/ml)0.08200730.029
      a P < 0.05.
      Table 8Reduction in BMI according to HDL-associated miRNAs at baseline before surgery and their changes from baseline to 12 months after surgery
      SubgroupsReduction in BMI (kg/m2)P
      Before surgery
       miR-24
      <Median (n = 26)15.2 (12.4–20.1)0.803
      ≥Median (n = 27)15.7 (13.2–19.7)
       miR-222
      <Median (n = 26)14.1 (11.6–19.6)0.300
      ≥Median (n = 27)18.3 (13.1–20.2)
       miR-223
      <Median (n = 26)15.7 (12.8–20.5)0.669
      ≥Median (n = 27)15.5 (13.0–19.5)
      Change at 12 months
       ΔmiR-24
      <Median (n = 26)18.2 (14.0–20.7)0.015
      ≥Median (n = 27)14.0 (10.9–17.9)
       ΔmiR-222
      <Median (n = 26)16.1 (13.3–19.3)0.762
      ≥Median (n = 27)13.4 (11.4–20.8)
       ΔmiR-223
      <Median (n = 26)15.7 (13.3–20.1)0.355
      ≥Median (n = 27)14.5 (11.8–19.0)
      Data are presented median (interquartile range). P was estimated using Mann-Whitney U test.
      There were significant positive correlations between changes in HDL-associated miR-24 and miR-223 levels with cholesterol efflux capacity (r = 0.326, P = 0.027 and r = 0.349, P = 0.017, respectively, Table 7). The correlation between HDL-associated miR-222 and cholesterol efflux capacity did not achieve statistical significance (r = 0.453, P = 0.052, Table 7). There were also trends for positive correlations between HDL-associated miR-24, miR-222, and miR-223 with PON1 activity, which did not achieve statistical significance (r = 0.248, P = 0.074; r = 0.333, P = 0.097 and r = 0.242, P = 0.081, respectively). Similarly, a trend for negative correlation was observed between changes in ICAM-1 and changes in HDL-associated miR-223 (r = −0.265, P = 0.055) but not the other miRNAs.
      Furthermore, HDL-associated miR-24 levels positively correlated with changes in triglyceride levels, and inversely with changes in adiponectin (r = 0.331, P = 0.015 and r = −0.336, P = 0.015, Table 7), while changes in HDL-associated miR-222 positively correlated with changes in homeostatic model assessment for beta cell function (HOMA-B) (r = 0.433, P = 0.035, Table 7).

      Discussion

      This is the first study to assess the changes in HDL-associated miRNAs following RYGB in patients with severe obesity. Here, we demonstrate an alteration in miRNA signature in patients with severe obesity following bariatric surgery in tandem with the expected reduction in BMI and improvements in metabolic and glycemic markers.
      Following RYGB, there were significant increases in HDL-associated miR-24, miR-222, and miR-223, with positive correlations between miRNAs at baseline maintained at 12 months after surgery. The increase in HDL-associated miRNAs appears to indicate an overall increase in HDL function following surgery and this is supported by the positive correlations and trends observed with improvements in markers of HDL functionality such as cholesterol efflux capacity and PON1 activity. Both miR-222 and miR-223 are modulators of key components within the pathophysiology of cardiometabolic disease in obesity, and increases in these HDL-associated miRNAs could reflect enhancement of HDL’s cardioprotective functions and explain at least some of the metabolic improvements that are observed following RYGB.
      Multiple studies have suggested a role for miR-222 within the pathophysiological process underlying obesity and cardiometabolic disease. miR-222 is closely related to glucose metabolism and is thought to negatively regulate adipose tissue insulin sensitivity (
      • Deiuliis J.A.
      MicroRNAs as regulators of metabolic disease: pathophysiologic significance and emerging role as biomarkers and therapeutics.
      ) with increased expression of miR-222 in circulation being described in obesity (
      • Ortega F.J.
      • Mercader J.M.
      • Catalan V.
      • Moreno-Navarrete J.M.
      • Pueyo N.
      • Sabater M.
      • Gomez-Ambrosi J.
      • Anglada R.
      • Fernandez-Formoso J.A.
      • Ricart W.
      • et al.
      Targeting the circulating microRNA signature of obesity.
      ,
      • Ortega F.J.
      • Mercader J.M.
      • Moreno-Navarrete J.M.
      • Rovira O.
      • Guerra E.
      • Esteve E.
      • Xifra G.
      • Martinez C.
      • Ricart W.
      • Rieusset J.
      • et al.
      Profiling of circulating microRNAs reveals common microRNAs linked to type 2 diabetes that change with insulin sensitization.
      ), and within the adipose tissue of patients with diabetes and insulin resistance (
      • Deiuliis J.A.
      MicroRNAs as regulators of metabolic disease: pathophysiologic significance and emerging role as biomarkers and therapeutics.
      ). Higher levels of HDL-associated miR-222 have also been previously reported in patients with familial hypercholesterolemia (
      • Vickers K.C.
      • Palmisano B.T.
      • Shoucri B.M.
      • Shamburek R.D.
      • Remaley A.T.
      MicroRNAs are transported in plasma and delivered to recipient cells by high-density lipoproteins.
      ). In our study, we found a positive correlation between changes in HDL-miR-222 and HOMA-B, suggesting that it may have a role in improving glycemia after bariatric surgery. The higher levels of HDL-miR-222 in obesity and diabetes shown in previous studies may reflect a compensatory rise in response to the underlying metabolic derangement rather than the cause. This hypothesis is consistent with miR-222 being shown to improve hyperglycemia through proliferation of pancreatic β cells in a previous study using murine models (
      • Tsukita S.
      • Yamada T.
      • Takahashi K.
      • Munakata Y.
      • Hosaka S.
      • Takahashi H.
      • Gao J.
      • Shirai Y.
      • Kodama S.
      • Asai Y.
      • et al.
      MicroRNAs 106b and 222 improve hyperglycemia in a mouse model of insulin-deficient diabetes via pancreatic beta-cell proliferation.
      ). It is, however, important to point out that assessment of β cell function using static measures of insulin and glucose is suboptimal and is influenced by factors such as insulin action, alterations in energy balance, and marker alterations in glucose and insulin before and after surgery (
      • Bradley D.
      • Magkos F.
      • Klein S.
      Effects of bariatric surgery on glucose homeostasis and type 2 diabetes.
      ). Indeed, a reduction in HOMA-B was observed in our cohort despite improvements in all markers of glycemia and, therefore, require further study with dynamic testing. Also, interestingly, in contrast with our findings, a previous study of patients who underwent RYGB found a significant postsurgical reduction of circulating plasma miR-222 (
      • Ortega F.J.
      • Mercader J.M.
      • Catalan V.
      • Moreno-Navarrete J.M.
      • Pueyo N.
      • Sabater M.
      • Gomez-Ambrosi J.
      • Anglada R.
      • Fernandez-Formoso J.A.
      • Ricart W.
      • et al.
      Targeting the circulating microRNA signature of obesity.
      ). One potential explanation for these discrepant results may be that, despite a reduction in overall circulating miR-222, the amount transported by HDL is increased due to the enhanced uptake capacity. Further studies will be required to further assess this.
      miR-223 has an important role in the development and regulation of the immune system and is established as a potent regulator of inflammatory processes (
      • Taïbi F.
      • Metzinger-Le Meuth V.
      • Massy Z.A.
      • Metzinger L.
      miR-223: An inflammatory oncomiR enters the cardiovascular field.
      ). It has been previously associated with obesity with increased levels of visceral adipose tissue miR-223 being demonstrated (
      • Deiuliis J.A.
      • Syed R.
      • Duggineni D.
      • Rutsky J.
      • Rengasamy P.
      • Zhang J.
      • Huang K.
      • Needleman B.
      • Mikami D.
      • Perry K.
      • et al.
      Visceral adipose microRNA 223 is upregulated in human and murine obesity and modulates the inflammatory phenotype of macrophages.
      ). Increased adipose tissue inflammation and marked systemic insulin resistance have been shown in miR-223 knockout mice on a high-fat diet (
      • Zhuang G.
      • Meng C.
      • Guo X.
      • Cheruku P.S.
      • Shi L.
      • Xu H.
      • Li H.
      • Wang G.
      • Evans A.R.
      • Safe S.
      • et al.
      A novel regulator of macrophage activation: miR-223 in obesity-associated adipose tissue inflammation.
      ). Furthermore, the transfer of miR-223 from HDL has been shown to decrease ICAM-1 expression in endothelial cells (
      • Tabet F.
      • Vickers K.C.
      • Cuesta Torres L.F.
      • Wiese C.B.
      • Shoucri B.M.
      • Lambert G.
      • Catherinet C.
      • Prado-Lourenco L.
      • Levin M.G.
      • Thacker S.
      • et al.
      HDL-transferred microRNA-223 regulates ICAM-1 expression in endothelial cells.
      ). Indeed, a negative correlation between HDL-associated miR-223 and serum ICAM-1 levels at baseline and a negative trend between postsurgical changes were observed following RYGB. This provides support for enhanced HDL anti-inflammatory function following surgery, conferred in part through the transfer of miR-223. Furthermore, we have also demonstrated a positive correlation between HDL-associated miR-223 and cholesterol efflux capacity and a trend with PON1 activity, contributing further to an overall picture of enhanced HDL function after RYGB.
      Although miR-223 has previously been shown to predict the response to a nonsurgical weight loss intervention with an 800–880 kcal/day hypocaloric diet (
      • Milagro F.I.
      • Miranda J.
      • Portillo M.P.
      • Fernandez-Quintela A.
      • Campion J.
      • Martinez J.A.
      High-throughput sequencing of microRNAs in peripheral blood mononuclear cells: identification of potential weight loss biomarkers.
      ), miR-223 expression did not differ between patients who achieved supra- and sub-median reductions in BMI following RYGB. Furthermore, in contrast to our post-RYGB observation, a reduction in HDL-associated miR-223 had been demonstrated following high-protein diet-induced weight loss in patients with obesity (
      • Tabet F.
      • Cuesta Torres L.F.
      • Ong K.L.
      • Shrestha S.
      • Choteau S.A.
      • Barter P.J.
      • Clifton P.
      • Rye K.A.
      High-density lipoprotein-associated miR-223 is altered after diet-induced weight loss in overweight and obese males.
      ). This observed difference in impact on circulating miRNA can be explained by the difference in magnitude of reduction in weight and, therefore, adiposity following the dietary weight loss study (
      • Wycherley T.P.
      • Brinkworth G.D.
      • Clifton P.M.
      • Noakes M.
      Comparison of the effects of 52 weeks weight loss with either a high-protein or high-carbohydrate diet on body composition and cardiometabolic risk factors in overweight and obese males.
      ) and this study. This is supported by both subcutaneous and omental adipose tissue being established sites of altered miRNA expression, including miR-223, following weight loss intervention (
      • Macartney-Coxson D.
      • Danielson K.
      • Clapham J.
      • Benton M.C.
      • Johnston A.
      • Jones A.
      • Shaw O.
      • Hagan R.D.
      • Hoffman E.P.
      • Hayes M.
      • et al.
      MicroRNA profiling in adipose before and after weight loss highlights the role of miR-223-3p and the NLRP3 inflammasome.
      ,
      • Kristensen M.M.
      • Davidsen P.K.
      • Vigelso A.
      • Hansen C.N.
      • Jensen L.J.
      • Jessen N.
      • Bruun J.M.
      • Dela F.
      • Helge J.W.
      miRNAs in human subcutaneous adipose tissue: effects of weight loss induced by hypocaloric diet and exercise.
      ). There is likely also a difference in the impact on HDL functionality, particularly its transporting capacity between dietary and surgical weight loss. While cholesterol efflux capacity is shown to be increased post-RYGB in our study, studies on dietary weight loss are limited with no significant increase in cholesterol efflux capacity being noted following hypocaloric diet in the absence of exercise training (
      • Khan A.A.
      • Mundra P.A.
      • Straznicky N.E.
      • Nestel P.J.
      • Wong G.
      • Tan R.
      • Huynh K.
      • Ng T.W.
      • Mellett N.A.
      • Weir J.M.
      • et al.
      Weight loss and exercise alter the high-density lipoprotein lipidome and improve high-density lipoprotein functionality in metabolic syndrome.
      ).
      Elevated levels of miR-24 have been reported in abdominal adipose tissue of patients with obesity, and are positively correlated with percentage body fat (
      • Nunez Lopez Y.O.
      • Garufi G.
      • Pasarica M.
      • Seyhan A.A.
      Elevated and correlated expressions of miR-24, miR-30d, miR-146a, and SFRP-4 in human abdominal adipose tissue play a role in adiposity and insulin resistance.
      ). Somewhat contrastingly, it has also been demonstrated that miR-24 has a role in modulating the expression of von Willibrand factor, where its levels are increased in type 2 diabetes when miR-24 levels are reduced through application of anti-miR-24, implicating a potential role in the risk of thrombotic cardiovascular events (
      • Xiang Y.
      • Cheng J.
      • Wang D.
      • Hu X.
      • Xie Y.
      • Stitham J.
      • Atteya G.
      • Du J.
      • Tang W.H.
      • Lee S.H.
      • et al.
      Hyperglycemia repression of miR-24 coordinately upregulates endothelial cell expression and secretion of von Willebrand factor.
      ). In the same study, miR-24 was also shown to be downregulated in endothelial cells in response to hyperglycemia. It is therefore possible that the postsurgical increase in HDL-associated miR-24 observed in our cohort may result from glycemic improvement as well as enhancement of HDL function, and may contribute to a reduction in cardiovascular risk following RYGB. Interestingly, although both HDL-associated miR-24 and adiponectin levels increased after RYGB, a negative correlation was seen between the two. Similarly, despite contrasting post-RYGB changes, positive correlations were observed between changes in miR-24 and changes in BMI, triglyceride levels, and systolic blood pressure. In keeping with this, a significantly larger reduction in BMI was also observed in patients with decreased or smaller increase in miR-24 at 12 months. This may reflect the complex pathophysiological changes following RYGB, with differing relationships between miR-24 and changes in weight, adiposity, and glycemia.
      Despite increases after RYGB, both HDL-associated miR-222 and miR-223 were higher at baseline compared with healthy participants, with similar observations also noted with HDL-associated miR-126. Although the lower miRNA expression in healthy participants may seem unexpected given the postsurgical upregulation, there are two potential explanations for this observation. First, the higher miR-126 (
      • Ortega F.J.
      • Mercader J.M.
      • Catalan V.
      • Moreno-Navarrete J.M.
      • Pueyo N.
      • Sabater M.
      • Gomez-Ambrosi J.
      • Anglada R.
      • Fernandez-Formoso J.A.
      • Ricart W.
      • et al.
      Targeting the circulating microRNA signature of obesity.
      ), miR-222 (
      • Ortega F.J.
      • Mercader J.M.
      • Moreno-Navarrete J.M.
      • Rovira O.
      • Guerra E.
      • Esteve E.
      • Xifra G.
      • Martinez C.
      • Ricart W.
      • Rieusset J.
      • et al.
      Profiling of circulating microRNAs reveals common microRNAs linked to type 2 diabetes that change with insulin sensitization.
      ), and miR-223 (
      • Deiuliis J.A.
      • Syed R.
      • Duggineni D.
      • Rutsky J.
      • Rengasamy P.
      • Zhang J.
      • Huang K.
      • Needleman B.
      • Mikami D.
      • Perry K.
      • et al.
      Visceral adipose microRNA 223 is upregulated in human and murine obesity and modulates the inflammatory phenotype of macrophages.
      ) expressions in obesity are in keeping with previous studies, and we postulate that this is likely triggered by underlying metabolic derangement, which would be in line with the effect of miR-222 on glycemia (
      • Tsukita S.
      • Yamada T.
      • Takahashi K.
      • Munakata Y.
      • Hosaka S.
      • Takahashi H.
      • Gao J.
      • Shirai Y.
      • Kodama S.
      • Asai Y.
      • et al.
      MicroRNAs 106b and 222 improve hyperglycemia in a mouse model of insulin-deficient diabetes via pancreatic beta-cell proliferation.
      ) and miR-223 on ICAM-1 (
      • Tabet F.
      • Vickers K.C.
      • Cuesta Torres L.F.
      • Wiese C.B.
      • Shoucri B.M.
      • Lambert G.
      • Catherinet C.
      • Prado-Lourenco L.
      • Levin M.G.
      • Thacker S.
      • et al.
      HDL-transferred microRNA-223 regulates ICAM-1 expression in endothelial cells.
      ) shown in previous studies. The increase in HDL-associated miRNA after surgery is in keeping with the improvement in HDL function, which may represent a dynamic process that drives metabolic improvements. It would be of great interest to see whether this upregulation of HDL-associated miRNA then reverts to the levels observed in healthy participants once the process of metabolic correction is completed. Second, statin therapy had been shown to upregulate both miR-222 and miR-223 expression (
      • Li J.
      • Chen H.
      • Ren J.
      • Song J.
      • Zhang F.
      • Zhang J.
      • Lee C.
      • Li S.
      • Geng Q.
      • Cao C.
      • et al.
      Effects of statin on circulating microRNAome and predicted function regulatory network in patients with unstable angina.
      ), and a significant proportion of statin-use within our cohort with severe obesity is therefore likely to have contributed to the difference in miRNA expression.
      Limitations to our study include the observational design and the small sample size, particularly within the control group. As only patients who underwent RYGB were included in our study, these findings may therefore not be extended to other weight loss procedures. Further studies with a larger study population including other metabolic surgical procedures would allow for comparison of surgical procedures and confirm the findings in our study.
      In conclusion, severe obesity is associated with altered HDL-associated miRNAs, which is significantly changed following RYGB. The increase in expression of HDL-associated miRNAs following surgery may reflect an improvement in HDL function and may explain some of the cardiometabolic benefits observed following RYGB in severe obesity.

      Data availability statement

      The data supporting the findings of this study are available in the article and from the corresponding author upon reasonable request.

      Conflict of interest

      The authors declare that they have no conflicts of interest with the contents of this article.

      Author contributions

      Study concept and design were by F. T. and H. S. J. H. H., S. A., Z. I., and S. D. undertook patient recruitment and clinical assessments. K. L. O., J. H. H., L. F. C. T., and Y. L. performed laboratory analyses. J. H. H. and K. L. O. performed the data analyses and undertook interpretation of findings with F. T. and H. S. J. H. H. produced the first draft and the final version with F. T. and H. S. S. A., Z. I., S. D., B. J. A., A. A. S., P. N. D., and K.-A. R. provided critical review for important intellectual content.

      Author ORCIDs

      Funding and additional information

      This work was supported by the National Institute of Health Research/Wellcome Trust Clinical Research Facility (Manchester, UK) and the Lipid Disease Fund.

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